From a2cff8bd5cde887d0b7657d8871ba555ac776a7e Mon Sep 17 00:00:00 2001 From: sawradip Date: Fri, 10 Oct 2025 14:00:51 +0600 Subject: [PATCH 01/22] feat: moved user_data json ro sqlite db approach --- runagent/__version__.py | 4 - runagent/cli/branding.py | 113 +++ runagent/cli/commands.py | 1271 ++++++++++++++++++++++----- runagent/cli/main.py | 23 +- runagent/constants.py | 7 +- runagent/sdk/config.py | 71 +- runagent/sdk/db.py | 166 +++- runagent/sdk/rest_client.py | 4 +- runagent/sdk/template_downloader.py | 103 ++- runagent/sdk/template_manager.py | 16 +- runagent/utils/config.py | 91 +- 11 files changed, 1533 insertions(+), 336 deletions(-) create mode 100644 runagent/cli/branding.py diff --git a/runagent/__version__.py b/runagent/__version__.py index a1e8857..9eb734d 100644 --- a/runagent/__version__.py +++ b/runagent/__version__.py @@ -1,5 +1 @@ -<<<<<<< HEAD __version__ = "0.1.23" -======= -__version__ = "0.1.23" ->>>>>>> sawra/runagent_cloud_support diff --git a/runagent/cli/branding.py b/runagent/cli/branding.py new file mode 100644 index 0000000..c52a17e --- /dev/null +++ b/runagent/cli/branding.py @@ -0,0 +1,113 @@ +""" +CLI Branding - ASCII art logo and styling for RunAgent +""" + +from rich.console import Console + +console = Console() + + +def print_logo(show_tagline: bool = True, brand_color: str = "cyan"): + """ + Print the RunAgent ASCII art logo + "Run" in brand color (cyan), "Agent" in white + + Args: + show_tagline: Whether to show the tagline below the logo + brand_color: Brand color for "Run" part (default: cyan) + """ + # Split logo into "Run" part (cyan) and "Agent" part (white) + logo = f"""[dim]╔═══════════════════════════════════════════════════════════════╗ +║ ║[/dim] +[bold {brand_color}]║ ██████╗ ██╗ ██╗███╗ ██╗[/bold {brand_color}][bold white] █████╗ ██████╗ ███████╗███╗ ██╗████████╗[/bold white] +[bold {brand_color}]║ ██╔══██╗██║ ██║████╗ ██║[/bold {brand_color}][bold white]██╔══██╗██╔════╝ ██╔════╝████╗ ██║╚══██╔══╝[/bold white] +[bold {brand_color}]║ ██████╔╝██║ ██║██╔██╗ ██║[/bold {brand_color}][bold white]███████║██║ ███╗█████╗ ██╔██╗ ██║ ██║ [/bold white] +[bold {brand_color}]║ ██╔══██╗██║ ██║██║╚██╗██║[/bold {brand_color}][bold white]██╔══██║██║ ██║██╔══╝ ██║╚██╗██║ ██║ [/bold white] +[bold {brand_color}]║ ██║ ██║╚██████╔╝██║ ╚████║[/bold {brand_color}][bold white]██║ ██║╚██████╔╝███████╗██║ ╚████║ ██║ [/bold white] +[bold {brand_color}]║ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═══╝[/bold {brand_color}][bold white]╚═╝ ╚═╝ ╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═╝ [/bold white] +[dim]║ ║ +╚═══════════════════════════════════════════════════════════════╝[/dim]""" + + console.print(logo, highlight=False) + + if show_tagline: + console.print(f"[dim] Deploy and manage AI agents with ease 🚀[/dim]\n") + + +def print_compact_logo(brand_color: str = "cyan"): + """ + Print a compact version of the RunAgent logo for smaller spaces + "Run" in brand color, "Agent" in white + + Args: + brand_color: Brand color for "Run" part (default: cyan) + """ + logo = f""" +[bold {brand_color}] ██████╗ ██╗ ██╗███╗ ██╗[/bold {brand_color}][bold white] █████╗ ██████╗ ███████╗███╗ ██╗████████╗[/bold white] +[bold {brand_color}] ██╔══██╗██║ ██║████╗ ██║[/bold {brand_color}][bold white]██╔══██╗██╔════╝ ██╔════╝████╗ ██║╚══██╔══╝[/bold white] +[bold {brand_color}] ██████╔╝██║ ██║██╔██╗ ██║[/bold {brand_color}][bold white]███████║██║ ███╗█████╗ ██╔██╗ ██║ ██║ [/bold white] +[bold {brand_color}] ██╔══██╗██║ ██║██║╚██╗██║[/bold {brand_color}][bold white]██╔══██║██║ ██║██╔══╝ ██║╚██╗██║ ██║ [/bold white] +[bold {brand_color}] ██║ ██║╚██████╔╝██║ ╚████║[/bold {brand_color}][bold white]██║ ██║╚██████╔╝███████╗██║ ╚████║ ██║ [/bold white] +[bold {brand_color}] ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═══╝[/bold {brand_color}][bold white]╚═╝ ╚═╝ ╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═╝ [/bold white]""" + console.print(logo, highlight=False) + + +def print_minimal_logo(brand_color: str = "cyan"): + """ + Print a minimal single-line logo + "Run" in brand color, "Agent" in white + + Args: + brand_color: Brand color for "Run" part (default: cyan) + """ + console.print(f"[bold {brand_color}]Run[/bold {brand_color}][bold white]Agent[/bold white] [dim]|[/dim] [dim]Deploy AI agents with ease 🚀[/dim]") + + +def print_header(command_name: str = None, brand_color: str = "cyan"): + """ + Print a simple header bar like a webpage header + Perfect for internal pages without overwhelming the user + + Args: + command_name: Optional command name to show (e.g., "Configuration", "Database") + brand_color: Brand color for "Run" part (default: cyan) + """ + # Top border + console.print(f"[dim]{'─' * 70}[/dim]") + + # Header content + if command_name: + console.print( + f"[bold {brand_color}]Run[/bold {brand_color}][bold white]Agent[/bold white] " + f"[dim]›[/dim] {command_name}" + ) + else: + console.print( + f"[bold {brand_color}]Run[/bold {brand_color}][bold white]Agent[/bold white] " + f"[dim]CLI[/dim]" + ) + + # Bottom border + console.print(f"[dim]{'─' * 70}[/dim]\n") + + +def print_welcome_banner(version: str = None): + """ + Print a welcome banner with logo and version + + Args: + version: Version string to display + """ + print_logo(show_tagline=True, brand_color="cyan") + + if version: + console.print(f"[dim] Version {version}[/dim]\n") + else: + console.print() + + +def print_setup_banner(): + """Print a special banner for the setup command""" + print_logo(show_tagline=False, brand_color="cyan") + console.print("[bold cyan] 🎉 Welcome to RunAgent! 🎉[/bold cyan]") + console.print("[dim] Let's get you set up in a few steps...[/dim]\n") diff --git a/runagent/cli/commands.py b/runagent/cli/commands.py index ff33016..a057355 100644 --- a/runagent/cli/commands.py +++ b/runagent/cli/commands.py @@ -46,48 +46,735 @@ def print_version(ctx, param, value): return try: from runagent.__version__ import __version__ - console.print(f"[bold cyan]runagent {__version__}[/bold cyan]") + from runagent.cli.branding import print_compact_logo + print_compact_logo(brand_color="cyan") + console.print(f"\n[bold white]Version:[/bold white] [bold cyan]{__version__}[/bold cyan]") + console.print(f"[dim]Deploy and manage AI agents with ease 🚀[/dim]\n") except ImportError: console.print("[red]runagent version unknown[/red]") ctx.exit() -@click.command() -def version(): - """Show version information""" +# ============================================================================ +# Config Command Group +# ============================================================================ + +@click.group(invoke_without_command=True) +@click.option("--set-api-key", help="Set API key directly (e.g., runagent config --set-api-key YOUR_KEY)") +@click.option("--set-base-url", help="Set base URL directly (e.g., runagent config --set-base-url https://api.example.com)") +@click.pass_context +def config(ctx, set_api_key, set_base_url): + """ + Manage RunAgent configuration + + \b + Interactive mode (for humans): + $ runagent config + + \b + Direct flags (for scripts/agents): + $ runagent config --set-api-key YOUR_KEY + $ runagent config --set-base-url https://api.example.com + + \b + Subcommands: + $ runagent config status + $ runagent config reset + """ + + # Handle direct flag options + if set_api_key: + _set_api_key_direct(set_api_key) + return + + if set_base_url: + _set_base_url_direct(set_base_url) + return + + # If no subcommand and no flags, show interactive menu + if ctx.invoked_subcommand is None: + show_interactive_config_menu() + + +def _set_api_key_direct(api_key: str): + """Set API key directly (for --set-api-key flag) with validation""" + from rich.panel import Panel + from rich.status import Status + from runagent.constants import DEFAULT_BASE_URL + + if not api_key or not api_key.strip(): + console.print(Panel( + "[red]❌ API key cannot be empty[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Invalid API key") + + # Validate and fetch user info try: - from runagent.__version__ import __version__ - console.print(f"[bold cyan]runagent {__version__}[/bold cyan]") - except ImportError: - console.print("[red]runagent version unknown[/red]") + sdk = RunAgent() + base_url = Config.get_base_url() or DEFAULT_BASE_URL + + with Status("[bold cyan]Validating credentials...", spinner="dots"): + sdk.configure(api_key=api_key, base_url=base_url, save=True) + + # Get user info + user_config = Config.get_user_config() + + # Build success message + success_msg = ( + "[bold green]✅ API key updated successfully![/bold green]\n\n" + f"[dim]User:[/dim] [cyan]{user_config.get('user_email', 'N/A')}[/cyan]\n" + f"[dim]Tier:[/dim] [yellow]{user_config.get('user_tier', 'N/A')}[/yellow]" + ) + + # Add project if available + if user_config.get('active_project_name'): + success_msg += f"\n[dim]Project:[/dim] [green]{user_config.get('active_project_name')}[/green]" + + console.print(Panel( + success_msg, + title="[bold green]Success[/bold green]", + border_style="green" + )) + + except AuthenticationError as e: + console.print(Panel( + f"[red]❌ Authentication failed[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}\n\n" + "[yellow]Please check your API key and try again[/yellow]", + title="[bold red]Validation Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Authentication failed") + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(Panel( + f"[red]❌ Failed to save API key[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Failed to save configuration") + + +def _set_base_url_direct(base_url: str): + """Set base URL directly (for --set-base-url flag)""" + from rich.panel import Panel + + # Validate URL format + if not base_url.startswith(('http://', 'https://')): + base_url = f"https://{base_url}" + + success = Config.set_base_url(base_url) + + if success: + console.print(Panel( + f"[bold green]✅ Base URL updated successfully![/bold green]\n\n" + f"[dim]New URL:[/dim] [cyan]{base_url}[/cyan]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + else: + console.print(Panel( + "[red]❌ Failed to save base URL[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Failed to save configuration") + + +def show_interactive_config_menu(): + """Show interactive configuration menu""" + try: + from rich.panel import Panel + from runagent.cli.branding import print_header + import inquirer + + print_header("Configuration") + + questions = [ + inquirer.List( + 'config_option', + message="What would you like to configure?", + choices=[ + ('🔑 API Key', 'api_key'), + ('🌐 Base URL', 'base_url'), + ('📁 Active Project', 'project'), + ('🔄 Sync Settings', 'sync'), + ('📊 View Status', 'status'), + ('🔃 Reset Configuration', 'reset'), + ], + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Configuration cancelled.[/dim]") + return + + option = answers['config_option'] + + # Route to appropriate handler + if option == 'api_key': + _interactive_set_api_key() + elif option == 'base_url': + _interactive_set_base_url() + elif option == 'project': + _interactive_set_project() + elif option == 'sync': + _interactive_sync_settings() + elif option == 'status': + _show_config_status() + elif option == 'reset': + _interactive_reset_config() + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + + +def _interactive_set_api_key(): + """Interactive API key setup with validation""" + from rich.prompt import Prompt + from rich.panel import Panel + from rich.status import Status + from runagent.constants import DEFAULT_BASE_URL + + api_key = Prompt.ask("[cyan]Enter your API key[/cyan]", password=True) + + if not api_key or not api_key.strip(): + console.print(Panel( + "[red]❌ API key cannot be empty[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + # Validate and fetch user info + try: + sdk = RunAgent() + base_url = Config.get_base_url() or DEFAULT_BASE_URL + + with Status("[bold cyan]Validating credentials...", spinner="dots"): + sdk.configure(api_key=api_key, base_url=base_url, save=True) + + # Get user info + user_config = Config.get_user_config() + + # Build success message + success_msg = ( + "[bold green]✅ API key updated successfully![/bold green]\n\n" + f"[dim]User:[/dim] [cyan]{user_config.get('user_email', 'N/A')}[/cyan]\n" + f"[dim]Tier:[/dim] [yellow]{user_config.get('user_tier', 'N/A')}[/yellow]" + ) + + # Add project if available + if user_config.get('active_project_name'): + success_msg += f"\n[dim]Project:[/dim] [green]{user_config.get('active_project_name')}[/green]" + + console.print(Panel( + success_msg, + title="[bold green]Success[/bold green]", + border_style="green" + )) + + except AuthenticationError as e: + console.print(Panel( + f"[red]❌ Authentication failed[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}\n\n" + "[yellow]Please check your API key and try again[/yellow]", + title="[bold red]Validation Error[/bold red]", + border_style="red" + )) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(Panel( + f"[red]❌ Failed to save API key[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}", + title="[bold red]Error[/bold red]", + border_style="red" + )) + + +def _interactive_set_base_url(): + """Interactive base URL setup""" + from rich.prompt import Prompt + from rich.panel import Panel + from runagent.constants import DEFAULT_BASE_URL + + console.print(f"[dim]Current: {Config.get_base_url()}[/dim]") + console.print(f"[dim]Default: {DEFAULT_BASE_URL}[/dim]\n") + + base_url = Prompt.ask( + "[cyan]Enter base URL[/cyan]", + default=DEFAULT_BASE_URL + ) + + if not base_url.startswith(('http://', 'https://')): + base_url = f"https://{base_url}" + + success = Config.set_base_url(base_url) + + if success: + console.print(Panel( + f"[bold green]✅ Base URL updated successfully![/bold green]\n\n" + f"[dim]New URL:[/dim] [cyan]{base_url}[/cyan]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + else: + console.print(Panel( + "[red]❌ Failed to save base URL[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + + +def _interactive_sync_settings(): + """Interactive sync settings configuration""" + try: + from rich.panel import Panel + import inquirer + + # Get current status + user_config = Config.get_user_config() + current_status = user_config.get('local_sync_enabled', True) + + # Show current status + if current_status: + status_text = "[green]Currently: ENABLED[/green]" + else: + status_text = "[red]Currently: DISABLED[/red]" + + console.print(f"\n📡 Middleware Sync {status_text}\n") + + # Ask what to do + questions = [ + inquirer.List( + 'sync_action', + message="Select sync preference", + choices=[ + ('✅ Enable Sync (sync local runs to middleware)', 'enable'), + ('❌ Disable Sync (local only)', 'disable'), + ], + default=('✅ Enable Sync (sync local runs to middleware)', 'enable') if current_status else ('❌ Disable Sync (local only)', 'disable'), + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Sync configuration cancelled.[/dim]") + return + + action = answers['sync_action'] + + # Set the preference + new_status = (action == 'enable') + Config.set_user_config('local_sync_enabled', new_status) + + if new_status: + console.print(Panel( + "[bold green]✅ Middleware sync enabled![/bold green]\n\n" + "[dim]Local agent runs will now sync to middleware.[/dim]\n" + "[dim]Requires valid API key.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + else: + console.print(Panel( + "[bold yellow]⚠️ Middleware sync disabled[/bold yellow]\n\n" + "[dim]Local agents will only store data locally.[/dim]\n" + "[dim]Your runs won't appear in the middleware dashboard.[/dim]", + title="[bold]Sync Disabled[/bold]", + border_style="yellow" + )) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + + +def _interactive_set_project(): + """Interactive project selection from API""" + try: + from rich.panel import Panel + from rich.status import Status + import inquirer + + # Get API key + api_key = Config.get_api_key() + if not api_key: + console.print(Panel( + "[red]❌ No API key configured[/red]\n\n" + "[dim]Run 'runagent setup' first[/dim]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + # Fetch projects from API + console.print("\n[cyan]📁 Fetching your projects...[/cyan]\n") + + from runagent.sdk.rest_client import RestClient + + with Status("[bold cyan]Loading projects...", spinner="dots"): + rest_client = RestClient( + api_key=api_key, + base_url=Config.get_base_url() + ) + + try: + response = rest_client.http.get("/projects?page=1&per_page=20&include_stats=false") + + if response.status_code != 200: + console.print(Panel( + f"[red]❌ Failed to fetch projects (Status: {response.status_code})[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + projects_data = response.json() + + if not projects_data.get("success"): + console.print(Panel( + f"[red]❌ {projects_data.get('error', 'Failed to fetch projects')}[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + projects = projects_data.get("data", {}).get("projects", []) + + if not projects: + console.print(Panel( + "[yellow]⚠️ No projects found[/yellow]\n\n" + "[dim]Create a project in the dashboard first[/dim]", + title="[bold]No Projects[/bold]", + border_style="yellow" + )) + return + + except Exception as e: + console.print(Panel( + f"[red]❌ Error fetching projects: {str(e)}[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + # Show project selection + current_project_id = Config.get_user_config().get('active_project_id') + + project_choices = [] + default_choice = None + + for project in projects: + project_id = project.get('id') + project_name = project.get('name', 'Unnamed') + is_default = project.get('is_default', False) + + # Mark current and default projects + label = f"📁 {project_name}" + if project_id == current_project_id: + label = f"✓ {label} [current]" + default_choice = (label, project_id) + elif is_default: + label = f"{label} [default]" + + choice_tuple = (label, project_id) + project_choices.append(choice_tuple) + + if not default_choice and is_default: + default_choice = choice_tuple + + questions = [ + inquirer.List( + 'project', + message="Select active project", + choices=project_choices, + default=default_choice, + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Project selection cancelled.[/dim]") + return + + selected_project_id = answers['project'] + + # Find selected project details + selected_project = next( + (p for p in projects if p.get('id') == selected_project_id), + None + ) + + if not selected_project: + console.print("[red]Error: Project not found[/red]") + return + + # Save to database + Config.set_user_config('active_project_id', selected_project_id) + Config.set_user_config('active_project_name', selected_project.get('name')) + + console.print(Panel( + f"[bold green]✅ Active project updated![/bold green]\n\n" + f"[dim]Project:[/dim] [cyan]{selected_project.get('name')}[/cyan]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + + +def _show_config_status(): + """Show configuration status (helper for interactive menu and status command)""" + from rich.panel import Panel + from rich.table import Table + + user_config = Config.get_user_config() + api_key = Config.get_api_key() + base_url = Config.get_base_url() + + # Create status table + table = Table(show_header=False, box=None, padding=(0, 2)) + table.add_column("Setting", style="dim") + table.add_column("Value", style="cyan") + + # API Key status + if api_key: + masked_key = api_key[:8] + "..." + api_key[-4:] if len(api_key) > 12 else "***" + table.add_row("🔑 API Key", f"[green]✓[/green] {masked_key}") + else: + table.add_row("🔑 API Key", "[red]✗ Not set[/red]") + + # Base URL + table.add_row("🌐 Base URL", base_url or "[yellow]Using default[/yellow]") + + # User info + if user_config.get('user_email'): + table.add_row("✉️ Email", user_config.get('user_email')) + + if user_config.get('user_tier'): + table.add_row("🎯 Tier", user_config.get('user_tier')) + + # Active project + if user_config.get('active_project_name'): + table.add_row("📁 Active Project", user_config.get('active_project_name')) + + # Sync status + sync_enabled = user_config.get('local_sync_enabled', True) + if sync_enabled: + table.add_row("🔄 Middleware Sync", "[green]✓ Enabled[/green]") + else: + table.add_row("🔄 Middleware Sync", "[yellow]⚠ Disabled[/yellow]") + + console.print(Panel( + table, + title="[bold cyan]RunAgent Configuration[/bold cyan]", + border_style="cyan" + )) + + # Show helpful info + console.print("\n[dim]💡 Use arrow keys in interactive mode: 'runagent config'[/dim]") + console.print("[dim]💡 Direct flags for automation: 'runagent config --set-api-key '[/dim]\n") + + +def _interactive_reset_config(): + """Interactive reset configuration (helper for interactive menu)""" + from rich.prompt import Confirm + from rich.panel import Panel + + console.print("[yellow]⚠️ This will remove all your configuration including API key[/yellow]") + if not Confirm.ask("\n[bold]Are you sure you want to reset?[/bold]", default=False): + console.print("[dim]Reset cancelled.[/dim]") + return + + sdk = RunAgent() + sdk.config.clear() + + console.print(Panel( + "[bold green]✅ Configuration reset successfully![/bold green]\n\n" + "[dim]Run 'runagent setup' to configure again.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + + + + +@config.command("status") +def config_status_cmd(): + """Show current configuration status""" + _show_config_status() + + +@config.command("reset") +@click.option("--yes", is_flag=True, help="Skip confirmation") +def config_reset_cmd(yes): + """Reset configuration to defaults""" + if yes: + _reset_config_without_prompt() + else: + _interactive_reset_config() + + +def _reset_config_without_prompt(): + """Reset config without confirmation (for --yes flag)""" + from rich.panel import Panel + + try: + sdk = RunAgent() + sdk.config.clear() + + console.print(Panel( + "[bold green]✅ Configuration reset successfully![/bold green]\n\n" + "[dim]Run 'runagent setup' to configure again.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + raise click.ClickException("Reset failed") @click.command() -@click.option("--api-key", required=True, help="Your API key") -@click.option("--base-url", help="API base URL") -@click.option("--force", is_flag=True, help="Force reconfiguration") -def setup(api_key, base_url, force): - """Setup RunAgent authentication""" +@click.option("--again", is_flag=True, help="Reconfigure even if already setup") +def setup(again): + """ + Setup RunAgent authentication + + \b + First-time setup: + $ runagent setup + + \b + Reconfigure: + $ runagent setup --again + + \b + Change specific settings later: + $ runagent config set-api-key + $ runagent config set-base-url + """ try: + from runagent.cli.branding import print_setup_banner + from rich.prompt import Prompt, Confirm + from rich.panel import Panel + sdk = RunAgent() + api_key = Config.get_api_key() # Check if already configured - if sdk.is_configured() and not force: + if api_key and not again: config_status = sdk.get_config_status() - console.print("⚠️ RunAgent is already configured:") - console.print(f" Base URL: [blue]{config_status.get('base_url')}[/blue]") - user_info = config_status.get('user_info', {}) - if user_info.get('email'): - console.print(f" User: [green]{user_info.get('email')}[/green]") + user_email = config_status.get('user_info', {}).get('email', 'N/A') + + console.print(Panel( + "[bold cyan]✅ RunAgent is already configured![/bold cyan]\n\n" + f"[dim]User:[/dim] [green]{user_email}[/green]\n" + f"[dim]Base URL:[/dim] [cyan]{config_status.get('base_url')}[/cyan]\n\n" + "[dim]To reconfigure, run:[/dim] [white]runagent setup --again[/white]\n" + "[dim]To view config:[/dim] [white]runagent config status[/white]", + title="[bold]Already Setup[/bold]", + border_style="cyan" + )) + return - if not click.confirm("Do you want to reconfigure?"): + # Show welcome banner for new setup + if not api_key or again: + if not api_key: + print_setup_banner() + else: + console.print("\n[bold cyan]🔄 Reconfiguring RunAgent[/bold cyan]\n") + + # Show setup method options with arrow-key selection + console.print("[bold cyan]Choose your setup method:[/bold cyan]\n") + + import inquirer + + questions = [ + inquirer.List( + 'setup_method', + message="Select setup method", + choices=[ + ('🪄 Express Setup (Browser login - Coming Soon!)', 'express'), + ('🔑 Manual Setup (Enter API key)', 'manual'), + ], + default=('🔑 Manual Setup (Enter API key)', 'manual'), + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Setup cancelled.[/dim]") + return + + choice = answers['setup_method'] + + if choice == "express": + # Express setup - coming soon + console.print(Panel( + "[bold cyan]🚀 Express Setup - Coming Soon![/bold cyan]\n\n" + "This feature will allow you to authenticate via your browser.\n\n" + "[dim]For now, please use Manual Setup[/dim]\n\n" + "📚 [link=https://docs.runagent.dev/setup]Learn more[/link]", + title="[bold]Feature Preview[/bold]", + border_style="cyan" + )) + + if not Confirm.ask("\n[bold]Continue with Manual Setup?[/bold]", default=True): + console.print("[dim]Setup cancelled.[/dim]") return - - console.print("🔑 [cyan]Setting up RunAgent authentication...[/cyan]") + + # Manual setup - prompt for API key + console.print("\n[bold white]📝 Manual Setup[/bold white]\n") + api_key = Prompt.ask( + "[cyan]Enter your API key[/cyan]", + password=True + ) + + if not api_key or not api_key.strip(): + console.print(Panel( + "[red]❌ API key cannot be empty[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Invalid API key") + + console.print("\n🔑 [cyan]Configuring RunAgent...[/cyan]") # Configure SDK with validation try: - sdk.configure(api_key=api_key, base_url=base_url, save=True) - console.print("✅ [green]Setup completed successfully![/green]") + from rich.status import Status + from runagent.constants import DEFAULT_BASE_URL + + # Use default base URL from constants + base_url = Config.get_base_url() or DEFAULT_BASE_URL + + with Status("[bold cyan]Validating credentials...", spinner="dots", console=console) as status: + sdk.configure(api_key=api_key, base_url=base_url, save=True) + + console.print(Panel( + "[bold green]✅ Setup completed successfully![/bold green]\n\n" + "[dim]Your credentials have been saved securely.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) except AuthenticationError as auth_err: if os.getenv('DISABLE_TRY_CATCH'): raise @@ -104,7 +791,9 @@ def setup(api_key, base_url, force): elif "connection" in error_msg or "timeout" in error_msg: console.print(" • Check your internet connection") console.print(" • Verify the middleware server is accessible") - console.print(f" • Trying to connect to: {base_url or sdk.config.base_url}") + from runagent.constants import DEFAULT_BASE_URL + display_url = base_url if 'base_url' in locals() else DEFAULT_BASE_URL + console.print(f" • Trying to connect to: {display_url}") else: console.print(" • Check your API key and network connection") console.print(" • Contact support if the issue persists") @@ -116,12 +805,28 @@ def setup(api_key, base_url, force): user_info = config_status.get('user_info', {}) if user_info and user_info.get('email'): - console.print("\n👤 [bold]User Information:[/bold]") - console.print(f" Email: [cyan]{user_info.get('email')}[/cyan]") - if user_info.get('user_id'): - console.print(f" User ID: [dim]{user_info.get('user_id')}[/dim]") - if user_info.get('tier'): - console.print(f" Tier: [yellow]{user_info.get('tier')}[/yellow]") + from rich.panel import Panel + from rich.table import Table + + # Create info table + info_table = Table(show_header=False, box=None, padding=(0, 2)) + info_table.add_column("", style="dim", no_wrap=True) + info_table.add_column("", style="cyan") + + info_table.add_row("✉️ Email", user_info.get('email')) + info_table.add_row("🎯 Tier", user_info.get('tier', 'Free')) + + # Show active project + user_config = Config.get_user_config() + active_project = user_config.get('active_project_name') + if active_project: + info_table.add_row("📁 Active Project", active_project) + + console.print(Panel( + info_table, + title="[bold]👤 User Information[/bold]", + border_style="cyan" + )) # Show sync status (simplified) console.print("\n🔄 [bold]Middleware Sync Status:[/bold]") @@ -139,11 +844,11 @@ def setup(api_key, base_url, force): except Exception as e: console.print(f" Status: [yellow]Unknown - {e}[/yellow]") - # Show next steps + # Show next steps - Simple workflow console.print("\n💡 [bold]Next Steps:[/bold]") - console.print(" • Test with a local agent: [cyan]runagent serve [/cyan]") - console.print(" • Check middleware sync: [cyan]runagent local-sync --status[/cyan]") - console.print(" • Upload agent to middleware: [cyan]runagent upload --folder [/cyan]") + console.print(" 1️⃣ Initialize a new agent: [cyan]runagent init[/cyan]") + console.print(" 2️⃣ Serve it locally: [cyan]runagent serve [/cyan]") + console.print(" 3️⃣ Invoke your agent: [cyan]runagent run --id --tag [/cyan]") except AuthenticationError: # Already handled above @@ -159,39 +864,82 @@ def setup(api_key, base_url, force): @click.command() @click.option("--yes", is_flag=True, help="Skip confirmation") def teardown(yes): - """Remove RunAgent configuration""" + """Complete teardown - Remove RunAgent configuration AND database""" try: + from runagent.cli.branding import print_header + from rich.panel import Panel + from rich.prompt import Confirm + from runagent.constants import LOCAL_CACHE_DIRECTORY, DATABASE_FILE_NAME + from pathlib import Path + + print_header("Complete Teardown") + sdk = RunAgent() if not yes: config_status = sdk.get_config_status() + db_stats = sdk.db_service.get_database_stats() + + # Show what will be deleted + console.print(Panel( + "[bold red]⚠️ COMPLETE TEARDOWN[/bold red]\n\n" + "This will permanently delete:\n" + " • All configuration (API key, user info, settings)\n" + " • Complete database (all agents, runs, logs, history)\n" + " • All local agent data\n\n" + "[yellow]This action CANNOT be undone![/yellow]", + title="[bold red]Warning[/bold red]", + border_style="red" + )) + + console.print("\n📊 [bold]Current data:[/bold]") if config_status.get("configured"): - console.print("📋 [bold]Current configuration:[/bold]") - console.print( - f" Base URL: [blue]{config_status.get('base_url')}[/blue]" - ) - user_info = config_status.get("user_info", {}) - if user_info.get("email"): - console.print(f" User: [green]{user_info.get('email')}[/green]") - - if not click.confirm( - "⚠️ This will remove all RunAgent configuration. Continue?" + console.print(f" User: [cyan]{config_status.get('user_info', {}).get('email', 'N/A')}[/cyan]") + console.print(f" Total agents: [yellow]{db_stats.get('total_agents', 0)}[/yellow]") + console.print(f" Total runs: [yellow]{db_stats.get('total_runs', 0)}[/yellow]") + console.print(f" Database size: [yellow]{db_stats.get('database_size_mb', 0)} MB[/yellow]\n") + + if not Confirm.ask( + "[bold red]Are you absolutely sure you want to proceed?[/bold red]", + default=False ): - console.print("Teardown cancelled.") + console.print("[dim]Teardown cancelled.[/dim]") return - # Clear configuration + # Clear configuration from database sdk.config.clear() - console.print("✅ [green]RunAgent teardown completed successfully![/green]") - console.print( - "💡 Run [cyan]'runagent setup --api-key '[/cyan] to reconfigure" - ) + # Close database connections + sdk.db_service.close() + + # Delete database file + db_path = Path(LOCAL_CACHE_DIRECTORY) / DATABASE_FILE_NAME + if db_path.exists(): + db_path.unlink() + console.print(f"🗑️ [dim]Deleted database: {db_path}[/dim]") + + # Delete legacy JSON file if exists + json_file = Path(LOCAL_CACHE_DIRECTORY) / "user_data.json" + if json_file.exists(): + json_file.unlink() + console.print(f"🗑️ [dim]Deleted legacy config: {json_file}[/dim]") + + console.print(Panel( + "[bold green]✅ RunAgent teardown completed successfully![/bold green]\n\n" + "All configuration and data have been removed.\n\n" + "[dim]To start fresh, run:[/dim] [cyan]runagent setup[/cyan]", + title="[bold green]Complete[/bold green]", + border_style="green" + )) except Exception as e: if os.getenv('DISABLE_TRY_CATCH'): raise - console.print(f"❌ [red]Teardown error:[/red] {e}") + console.print(Panel( + f"[red]❌ Teardown error:[/red] {str(e)}", + title="[bold red]Error[/bold red]", + border_style="red" + )) raise click.ClickException("Teardown failed") @@ -201,6 +949,9 @@ def teardown(yes): def delete(agent_id, yes): """Delete an agent from the local database""" try: + from runagent.cli.branding import print_header + print_header("Delete Agent") + sdk = RunAgent() # Get agent info first @@ -269,10 +1020,12 @@ def delete(agent_id, yes): @click.command() -@click.option("--template", default="default", help="Template variant (basic, advanced, default)") -@click.option("--interactive", "-i", is_flag=True, help="Enable interactive prompts") +@click.option("--template", help="Template variant (default, advanced, etc.) - for non-interactive") +@click.option("--blank", is_flag=True, help="Start from blank template - for non-interactive") +@click.option("--name", help="Agent name - for non-interactive") +@click.option("--description", help="Agent description - for non-interactive") @click.option("--overwrite", is_flag=True, help="Overwrite existing folder") -@add_framework_options # This automatically adds all framework options! +@add_framework_options # Adds framework flags for non-interactive @click.argument( "path", type=click.Path( @@ -285,54 +1038,179 @@ def delete(agent_id, yes): default=".", required=False, ) -def init(template, interactive, overwrite, path, **kwargs): - """Initialize a new RunAgent project""" +def init(template, blank, name, description, overwrite, path, **kwargs): + """ + Initialize a new RunAgent project + + \b + Interactive mode (default - recommended): + $ runagent init + + \b + Non-interactive with template: + $ runagent init --framework langgraph --template advanced --name "My Agent" --description "Does XYZ" ./my-agent + + \b + Non-interactive blank: + $ runagent init --blank --name "Custom Agent" --description "My custom implementation" + """ try: + from runagent.cli.branding import print_header + from rich.prompt import Prompt + from rich.panel import Panel + import inquirer + + print_header("Initialize Project") + sdk = RunAgent() - # Extract selected framework using our helper + # Determine if interactive mode selected_framework = get_selected_framework(kwargs) - framework = selected_framework if selected_framework else Framework.DEFAULT - - if interactive: - if framework == Framework.DEFAULT: - console.print("🎯 [bold]Available frameworks:[/bold]") + has_required_non_interactive = ( + (selected_framework or blank) and name and description + ) + is_interactive = not has_required_non_interactive + + # Variables to collect + agent_name = name + agent_description = description + use_blank = blank + framework = selected_framework + selected_template = template or "default" + + if is_interactive: + # Step 1: Choose blank or template + console.print("[bold cyan]How would you like to start?[/bold cyan]\n") + + start_questions = [ + inquirer.List( + 'start_type', + message="Select starting point", + choices=[ + ('📦 From Template (recommended)', 'template'), + ('📄 Blank Project (advanced)', 'blank'), + ], + default=('📦 From Template (recommended)', 'template'), + carousel=True + ), + ] + + start_answer = inquirer.prompt(start_questions) + if not start_answer: + console.print("[dim]Initialization cancelled.[/dim]") + return + + use_blank = (start_answer['start_type'] == 'blank') + + # Step 2: If template, select framework and template + if not use_blank: + # Select framework + console.print("\n[bold]Select framework:[/bold]\n") selectable_frameworks = Framework.get_selectable_frameworks() - for i, fw in enumerate(selectable_frameworks, 1): + framework_choices = [] + for fw in selectable_frameworks: category_emoji = "🐍" if fw.is_pythonic() else "🌐" if fw.is_webhook() else "❓" - console.print(f" {i}. {category_emoji} {fw.value} ({fw.category})") + label = f"{category_emoji} {fw.value} ({fw.category})" + framework_choices.append((label, fw)) - choice = click.prompt( - "Select framework", - type=click.IntRange(1, len(selectable_frameworks)), - default=1 - ) - framework = selectable_frameworks[choice - 1] - - if template == "default": - templates = sdk.list_templates(framework.value) - template_list = templates.get(framework.value, ["default"]) + fw_questions = [ + inquirer.List( + 'framework', + message="Choose framework", + choices=framework_choices, + carousel=True + ), + ] - console.print(f"\n🧱 [bold]Available templates for {framework.value}:[/bold]") - for i, tmpl in enumerate(template_list, 1): - console.print(f" {i}. {tmpl}") + fw_answer = inquirer.prompt(fw_questions) + if not fw_answer: + console.print("[dim]Initialization cancelled.[/dim]") + return - choice = click.prompt( - "Select template", - type=click.IntRange(1, len(template_list)), - default=1 - ) - template = template_list[choice - 1] + framework = fw_answer['framework'] + + # Select template for chosen framework + console.print(f"\n[bold]Select template for {framework.value}:[/bold]") + + # Fetch templates with real progress feedback + from rich.status import Status + import time + + fetch_start = time.time() + + with Status( + "[cyan]Fetching available templates...[/cyan]", + console=console, + spinner="dots" + ) as status: + clone_start = time.time() + status.update("[cyan]Cloning template repository...[/cyan]") + + templates = sdk.list_templates(framework.value) + clone_time = time.time() - clone_start + + status.update(f"[cyan]Templates fetched ({clone_time:.1f}s)[/cyan]") + template_list = templates.get(framework.value, ["default"]) + + fetch_time = time.time() - fetch_start + + console.print(f"[dim]✓ Found {len(template_list)} template(s) in {fetch_time:.1f}s[/dim]") + + # Auto-select if only one template available + if len(template_list) == 1: + selected_template = template_list[0] + console.print(f"[dim]→ Using template: {selected_template}[/dim]\n") + else: + # Show dropdown for multiple templates + console.print() + template_choices = [(f"🧱 {tmpl}", tmpl) for tmpl in template_list] + + tmpl_questions = [ + inquirer.List( + 'template', + message="Choose template", + choices=template_choices, + carousel=True + ), + ] + + tmpl_answer = inquirer.prompt(tmpl_questions) + if not tmpl_answer: + console.print("[dim]Initialization cancelled.[/dim]") + return + + selected_template = tmpl_answer['template'] + else: + # Blank project uses default framework + framework = Framework.DEFAULT + selected_template = "default" - if path.resolve() == Path.cwd(): - project_name = click.prompt( - "Enter project name", - type=str, - default="runagent-project" - ) - path = Path.cwd() / project_name + # Step 3: Get agent name and description (for both blank and template) + console.print("\n[bold]Agent Details:[/bold]\n") + + agent_name = Prompt.ask( + "[cyan]Agent name[/cyan]", + default="my-agent" + ) + + agent_description = Prompt.ask( + "[cyan]Agent description[/cyan]", + default="My AI agent" + ) + + # Step 4: Get path + console.print() + path_input = Prompt.ask( + "[cyan]Project path[/cyan]", + default="." + ) + path = Path(path_input) + + # Ensure framework is set + if not framework: + framework = Framework.DEFAULT # Validate framework if it came from string input if isinstance(framework, str): @@ -343,54 +1221,70 @@ def init(template, interactive, overwrite, path, **kwargs): # Use the path as the project location project_path = path.resolve() - relative_project_path = project_path.relative_to(Path.cwd()) # Ensure the path exists project_path.parent.mkdir(parents=True, exist_ok=True) - # Show configuration with enhanced formatting - console.print(f"\n🚀 [bold]Initializing project:[/bold]") - console.print(f" Path: [cyan]{relative_project_path}[/cyan]") - - # Enhanced framework display with category - framework_display = framework.value - if not framework.is_default(): - category_emoji = "🐍" if framework.is_pythonic() else "🌐" if framework.is_webhook() else "❓" - framework_display = f"{category_emoji} {framework.value} ({framework.category})" - - console.print(f" Framework: [magenta]{framework_display}[/magenta]") - console.print(f" Template: [yellow]{template}[/yellow]") + # Show configuration summary + console.print(Panel( + f"[bold]Project Configuration:[/bold]\n\n" + f"[dim]Name:[/dim] [cyan]{agent_name}[/cyan]\n" + f"[dim]Description:[/dim] [white]{agent_description}[/white]\n" + f"[dim]Framework:[/dim] [magenta]{framework.value}[/magenta]\n" + f"[dim]Template:[/dim] [yellow]{selected_template}[/yellow]\n" + f"[dim]Path:[/dim] [blue]{project_path}[/blue]", + title="[bold cyan]Creating Agent[/bold cyan]", + border_style="cyan" + )) # Initialize project success = sdk.init_project( folder_path=project_path, - framework=framework.value, # Pass the string value - template=template, + framework=framework.value, + template=selected_template, overwrite=overwrite ) - if success: - console.print(f"\n✅ [green]Project initialized successfully![/green]") - console.print(f"📁 Created at: [cyan]{relative_project_path}[/cyan]") - - # Enhanced next steps with framework-specific guidance - console.print("\n📝 [bold]Next steps:[/bold]") - console.print(f" 1. [cyan]cd {relative_project_path}[/cyan]") - console.print(f" 2. Update your API keys in [yellow].env[/yellow] file") - - # Framework-specific guidance - if framework.is_pythonic(): - console.print(f" 3. Install dependencies: [cyan]pip install -r requirements.txt[/cyan]") - console.print(f" 4. Deploy locally: [cyan]runagent serve {relative_project_path}[/cyan]") - elif framework.is_webhook(): - console.print(f" 3. Configure webhook endpoints in your workflow") - console.print(f" 4. Deploy locally: [cyan]runagent serve {relative_project_path}[/cyan]") - else: - console.print(f" 3. Deploy locally: [cyan]runagent serve {relative_project_path}[/cyan]") - - console.print( - f" 5. Test: [cyan]Test the agent with any of our SDKs. For more details, refer to: [link]https://docs.run-agent.ai/sdk/overview[/link][/cyan]" - ) + if not success: + raise Exception("Project initialization failed") + + # Update config file with name and description + try: + config_path = project_path / "runagent.config.json" + if config_path.exists(): + with open(config_path, 'r') as f: + config_data = json.load(f) + + config_data['name'] = agent_name + config_data['description'] = agent_description + + with open(config_path, 'w') as f: + json.dump(config_data, f, indent=2) + + console.print("\n[dim]✓ Updated agent name and description in config[/dim]") + except Exception as e: + console.print(f"[yellow]⚠️ Could not update config: {e}[/yellow]") + + # Success message + relative_path = project_path.relative_to(Path.cwd()) if project_path != Path.cwd() else Path(".") + + console.print(Panel( + f"[bold green]✅ Agent '{agent_name}' created successfully![/bold green]\n\n" + f"[dim]Location:[/dim] [cyan]{relative_path}[/cyan]\n" + f"[dim]Framework:[/dim] [magenta]{framework.value}[/magenta]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + + # Simple next steps + console.print("\n💡 [bold]Next Steps:[/bold]") + if relative_path != Path("."): + console.print(f" 1️⃣ [cyan]cd {relative_path}[/cyan]") + console.print(f" 2️⃣ Install dependencies: [cyan]pip install -r requirements.txt[/cyan]") + console.print(f" 3️⃣ Serve locally: [cyan]runagent serve .[/cyan]") + else: + console.print(f" 1️⃣ Install dependencies: [cyan]pip install -r requirements.txt[/cyan]") + console.print(f" 2️⃣ Serve locally: [cyan]runagent serve .[/cyan]") except TemplateError as e: if os.getenv('DISABLE_TRY_CATCH'): @@ -431,6 +1325,8 @@ def init(template, interactive, overwrite, path, **kwargs): ) def template(action_list, action_info, framework, template, filter_framework, format): """Manage project templates""" + from runagent.cli.branding import print_header + print_header("Templates") if not action_list and not action_info: console.print( @@ -545,6 +1441,9 @@ def upload(path: Path): """Upload agent to remote server""" try: + from runagent.cli.branding import print_header + print_header("Upload Agent") + sdk = RunAgent() # Check authentication @@ -596,6 +1495,9 @@ def start(agent_id, config): """Start an uploaded agent on remote server""" try: + from runagent.cli.branding import print_header + print_header("Start Remote Agent") + sdk = RunAgent() # Check authentication @@ -660,6 +1562,9 @@ def deploy(path: Path): """Deploy agent (upload + start) to remote server""" try: + from runagent.cli.branding import print_header + print_header("Deploy Agent") + sdk = RunAgent() # Check authentication @@ -729,6 +1634,9 @@ def serve(port, host, debug, replace, no_animation, animation_style, path): """Start local FastAPI server with subtle robotic runner animation""" try: + from runagent.cli.branding import print_header + print_header("Serve Agent Locally") + # Show subtle startup animation if not no_animation: console.print("\n") @@ -912,6 +1820,8 @@ def run(ctx, agent_id, host, port, input_file, local, tag, timeout): # remote agent runagent run --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal --message=something """ + from runagent.cli.branding import print_header + print_header("Run Agent") # ============================================ # VALIDATION 1: Either agent-id OR host/port @@ -1098,6 +2008,8 @@ def run_stream(ctx, agent_id, host, port, input_file, local, tag, timeout): # With input file runagent run-stream --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal_stream --local --input config.json """ + from runagent.cli.branding import print_header + print_header("Stream Agent Output") # ============================================ # PARAMETER PARSING @@ -1690,105 +2602,8 @@ def cleanup(days, agent_runs, yes): raise click.ClickException("Cleanup failed") -@click.command() -@click.option("--status", is_flag=True, help="Show sync status") -@click.option("--test", is_flag=True, help="Test middleware connection") -def local_sync(status, test): - """Manage local agent sync with middleware - ENHANCED""" - try: - sdk = RunAgent() - - if not sdk.config.is_configured(): - console.print("❌ [red]RunAgent not configured[/red]") - console.print("💡 Run: [cyan]runagent setup --api-key [/cyan]") - raise click.ClickException("Setup required") - - from runagent.sdk.deployment.middleware_sync import MiddlewareSyncService - sync_service = MiddlewareSyncService(sdk.config) - - if status or (not test): - # Show detailed sync status - console.print("\n📡 [bold]Middleware Sync Status[/bold]") - console.print("=" * 40) - - # API Key status - if sync_service.api_key: - console.print("🔑 [green]API Key: CONFIGURED[/green]") - console.print(f" Key: [dim]{sync_service.api_key[:16]}...[/dim]") - else: - console.print("🔑 [red]API Key: NOT CONFIGURED[/red]") - - # Base URL - console.print(f"🌐 Base URL: [blue]{sync_service.config.base_url}[/blue]") - - # Authentication status - if sync_service.auth_validated: - console.print("🔐 [green]Authentication: VALID[/green]") - else: - console.print("🔐 [red]Authentication: INVALID[/red]") - - # Overall sync status - if sync_service.sync_enabled: - console.print("✅ [green]Sync Status: ENABLED[/green]") - console.print(" Local agent runs will sync to middleware") - else: - console.print("❌ [red]Sync Status: DISABLED[/red]") - console.print("⚠️ Local agents will only be stored locally") - - if not sync_service.sync_enabled: - console.print("\n [yellow]To enable sync:[/yellow]") - console.print(" 1. Get API key from middleware dashboard") - console.print(" 2. Run: [cyan]runagent setup --api-key [/cyan]") - - if test: - console.print("\n [bold]Testing Connection...[/bold]") - - if not sync_service.api_key: - console.print("❌ [red]No API key configured[/red]") - raise click.ClickException("API key required for testing") - - # Test basic connection - console.print("1. Testing basic connectivity...") - connection_result = sync_service._test_middleware_connection() - if connection_result: - console.print(" ✅ [green]Basic connection: SUCCESS[/green]") - else: - console.print(" ❌ [red]Basic connection: FAILED[/red]") - raise click.ClickException("Cannot connect to middleware") - - # Test authentication - console.print("2. Testing authentication...") - auth_result = sync_service._test_supabase_authentication() - if auth_result: - console.print(" ✅ [green]Authentication: SUCCESS[/green]") - else: - console.print(" ❌ [red]Authentication: FAILED[/red]") - console.print(" Check your API key") - raise click.ClickException("Authentication failed") - - # Test user info endpoint - console.print("3. Testing user info endpoint...") - try: - response = sync_service.rest_client.http.get("/users/auth-user-info", timeout=10) - if response.status_code == 200: - user_data = response.json() - user_info = user_data.get("user", {}) - console.print(" ✅ [green]User info: SUCCESS[/green]") - console.print(f" 👤 Email: [cyan]{user_info.get('email', 'Unknown')}[/cyan]") - if user_info.get('id'): - console.print(f" 🆔 User ID: [dim]{user_info.get('id')}[/dim]") - else: - console.print(f" ❌ [red]User info: FAILED (HTTP {response.status_code})[/red]") - except Exception as e: - console.print(f" ❌ [red]User info: ERROR ({e})[/red]") - - console.print("\n✅ [bold green]All tests passed! Middleware sync is working.[/bold green]") - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Local sync error: {e}[/red]") - raise click.ClickException("Local sync command failed") +# local-sync command removed - sync settings now managed via 'runagent config' +# Use: runagent config > Select "🔄 Sync Settings" # Add this simplified logs command to the db group in runagent/cli/commands.py diff --git a/runagent/cli/main.py b/runagent/cli/main.py index 240e30a..9b83df2 100644 --- a/runagent/cli/main.py +++ b/runagent/cli/main.py @@ -1,16 +1,30 @@ import click from . import commands +from .branding import print_logo -@click.group() +def show_help_with_logo(ctx, param, value): + """Custom help callback that shows logo before help text""" + if value and not ctx.resilient_parsing: + print_logo(show_tagline=True, brand_color="cyan") + click.echo(ctx.get_help()) + ctx.exit() + + +@click.group(invoke_without_command=True) +@click.option('--help', '-h', is_flag=True, expose_value=False, is_eager=True, callback=show_help_with_logo, help='Show this message and exit') @click.option('--version', is_flag=True, expose_value=False, is_eager=True, callback=commands.print_version, help='Show version information') -def runagent(): +@click.pass_context +def runagent(ctx): """RunAgent CLI - Deploy and manage AI agents easily""" - pass + # Show logo when no subcommand is provided + if ctx.invoked_subcommand is None: + print_logo(show_tagline=True, brand_color="cyan") + click.echo(ctx.get_help()) -runagent.add_command(commands.version) runagent.add_command(commands.setup) +runagent.add_command(commands.config) # Config command group runagent.add_command(commands.teardown) runagent.add_command(commands.init) runagent.add_command(commands.template) @@ -22,7 +36,6 @@ def runagent(): runagent.add_command(commands.run_stream) runagent.add_command(commands.delete) runagent.add_command(commands.db) -runagent.add_command(commands.local_sync) if __name__ == "__main__": runagent() \ No newline at end of file diff --git a/runagent/constants.py b/runagent/constants.py index 57f07c6..0956b09 100644 --- a/runagent/constants.py +++ b/runagent/constants.py @@ -16,16 +16,15 @@ # Environment Variables ENV_RUNAGENT_API_KEY = "RUNAGENT_API_KEY" -# UPDATED: Change default port to match your middleware (8333) -ENV_RUNAGENT_BASE_URL = "http://52.237.88.147:8333/" +ENV_RUNAGENT_BASE_URL = "RUNAGENT_BASE_URL" ENV_LOCAL_CACHE_DIRECTORY = "RUNAGENT_CACHE_DIR" ENV_RUNAGENT_LOGGING_LEVEL = "RUNAGENT_LOGGING_LEVEL" # Local Configuration LOCAL_CACHE_DIRECTORY_PATH = "~/.runagent" -USER_DATA_FILE_NAME = "user_data.json" -DEFAULT_BASE_URL = "http://52.237.88.147:8333/" +DEFAULT_BASE_URL = "https://runagent-middleware-v2.onrender.com/" AGENT_CONFIG_FILE_NAME = "runagent.config.json" +DATABASE_FILE_NAME = "runagent_local.db" # Rest of the file remains the same... _cache_dir = os.environ.get(ENV_LOCAL_CACHE_DIRECTORY) diff --git a/runagent/sdk/config.py b/runagent/sdk/config.py index ff4e51e..c514278 100644 --- a/runagent/sdk/config.py +++ b/runagent/sdk/config.py @@ -12,7 +12,6 @@ ENV_RUNAGENT_API_KEY, ENV_RUNAGENT_BASE_URL, LOCAL_CACHE_DIRECTORY, - USER_DATA_FILE_NAME, ) from .exceptions import AuthenticationError, ValidationError @@ -48,22 +47,43 @@ def __init__( self._config["base_url"] = base_url def _get_default_config_path(self) -> Path: - """Get default config file path""" + """Get default config file path (legacy - for migration only)""" config_dir = Path(LOCAL_CACHE_DIRECTORY) config_dir.mkdir(exist_ok=True) - return config_dir / USER_DATA_FILE_NAME + return config_dir / "user_data.json" # Legacy file def _load_config(self) -> t.Dict[str, t.Any]: - """Load configuration from all sources""" + """Load configuration from database and environment variables""" config = {} - # 1. Load from config file - if self.config_file.exists(): - try: - with open(self.config_file, "r") as f: - config.update(json.load(f)) - except (json.JSONDecodeError, IOError): - pass + # 1. Load from database + try: + from .db import DBService + db_service = DBService() + db_config = db_service.get_all_user_metadata() + + if db_config: + config.update(db_config) + elif self.config_file.exists(): + # One-time migration from JSON file if database is empty + try: + with open(self.config_file, "r") as f: + json_config = json.load(f) + config.update(json_config) + + # Migrate to database + if json_config: + for key, value in json_config.items(): + db_service.set_user_metadata(key, value) + + # Backup old file + backup_file = self.config_file.with_suffix('.json.backup') + self.config_file.rename(backup_file) + except (json.JSONDecodeError, IOError): + pass + except Exception: + # If database fails, just continue with empty config + pass # 2. Override with environment variables if os.getenv(ENV_RUNAGENT_API_KEY): @@ -77,13 +97,18 @@ def _load_config(self) -> t.Dict[str, t.Any]: return config def save_config(self) -> bool: - """Save current configuration to file""" + """Save current configuration to database""" try: - self.config_file.parent.mkdir(exist_ok=True) - with open(self.config_file, "w") as f: - json.dump(self._config, f, indent=2) - return True - except (IOError, OSError): + from .db import DBService + db_service = DBService() + + success = True + for key, value in self._config.items(): + if not db_service.set_user_metadata(key, value): + success = False + + return success + except Exception: return False def setup( @@ -146,7 +171,11 @@ def _test_authentication(self) -> t.Dict[str, t.Any]: # Test connection using the token validation endpoint api_key = self._config.get("api_key") - response = client.http.post(f"/tokens/validate?token={api_key}", timeout=10) + response = client.http.post( + f"/tokens/validate?token={api_key}", + data={}, # Send empty body (required by endpoint) + timeout=10 + ) if response.status_code == 200: token_data = response.json() @@ -158,7 +187,9 @@ def _test_authentication(self) -> t.Dict[str, t.Any]: user_info = { "email": data.get("user_email"), "user_id": data.get("user_id"), - "tier": data.get("user_tier", "Free") + "tier": data.get("user_tier", "Free"), + "active_project_name": data.get("default_project_name"), + "active_project_id": data.get("default_project_id"), } # Store user info for later display @@ -166,6 +197,8 @@ def _test_authentication(self) -> t.Dict[str, t.Any]: "user_email": user_info["email"], "user_id": user_info["user_id"], "user_tier": user_info["tier"], + "active_project_id": user_info["active_project_id"], + "active_project_name": user_info["active_project_name"], "auth_validated": True }) diff --git a/runagent/sdk/db.py b/runagent/sdk/db.py index be291b9..06ebc8f 100644 --- a/runagent/sdk/db.py +++ b/runagent/sdk/db.py @@ -24,7 +24,7 @@ from sqlalchemy.orm import relationship, sessionmaker from sqlalchemy.sql import func -from runagent.constants import LOCAL_CACHE_DIRECTORY +from runagent.constants import LOCAL_CACHE_DIRECTORY, DATABASE_FILE_NAME from runagent.utils.port import PortManager @@ -164,6 +164,22 @@ class AgentLog(Base): Index("idx_agent_logs_level", "log_level"), ) + +class UserMetadata(Base): + """User metadata model for storing user configuration as key-value pairs""" + + __tablename__ = "user_metadata" + + key = Column(String, primary_key=True) + value = Column(Text, nullable=False) # Store JSON-serialized values + created_at = Column(DateTime, default=func.current_timestamp()) + updated_at = Column( + DateTime, default=func.current_timestamp(), onupdate=func.current_timestamp() + ) + + # Indexes + __table_args__ = (Index("idx_user_metadata_key", "key"),) + class DBManager: """Low-level database manager for SQLAlchemy operations""" @@ -175,7 +191,7 @@ def __init__(self, db_path: Path = None): db_path: Path to the SQLite database file """ if db_path is None: - db_path = Path(LOCAL_CACHE_DIRECTORY) / "runagent_local.db" + db_path = Path(LOCAL_CACHE_DIRECTORY) / DATABASE_FILE_NAME self.db_path = db_path self.engine = None @@ -2037,3 +2053,149 @@ def cleanup_old_logs(self, days_old: int = 7) -> int: session.rollback() console.print(f"Error cleaning up old logs: {e}") return 0 + + # User Metadata Methods + def set_user_metadata(self, key: str, value: Any) -> bool: + """ + Set user metadata key-value pair + + Args: + key: Metadata key (e.g., 'api_key', 'base_url', 'user_email') + value: Metadata value (will be JSON-serialized) + + Returns: + True if successful, False otherwise + """ + with self.db_manager.get_session() as session: + try: + # Serialize value to JSON + value_json = json.dumps(value) + + # Check if key exists + metadata = session.query(UserMetadata).filter( + UserMetadata.key == key + ).first() + + if metadata: + # Update existing + metadata.value = value_json + metadata.updated_at = func.current_timestamp() + else: + # Create new + metadata = UserMetadata( + key=key, + value=value_json + ) + session.add(metadata) + + session.commit() + return True + except Exception as e: + session.rollback() + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"Error setting user metadata: {e}") + return False + + def get_user_metadata(self, key: str, default: Any = None) -> Any: + """ + Get user metadata value by key + + Args: + key: Metadata key + default: Default value if key doesn't exist + + Returns: + Deserialized metadata value or default + """ + with self.db_manager.get_session() as session: + try: + metadata = session.query(UserMetadata).filter( + UserMetadata.key == key + ).first() + + if not metadata: + return default + + # Deserialize JSON value + return json.loads(metadata.value) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"Error getting user metadata: {e}") + return default + + def get_all_user_metadata(self) -> Dict[str, Any]: + """ + Get all user metadata as a dictionary + + Returns: + Dictionary with all metadata key-value pairs + """ + with self.db_manager.get_session() as session: + try: + metadata_records = session.query(UserMetadata).all() + + result = {} + for record in metadata_records: + try: + result[record.key] = json.loads(record.value) + except json.JSONDecodeError: + # If JSON parsing fails, store as string + result[record.key] = record.value + + return result + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"Error getting all user metadata: {e}") + return {} + + def delete_user_metadata(self, key: str) -> bool: + """ + Delete user metadata by key + + Args: + key: Metadata key to delete + + Returns: + True if successful, False otherwise + """ + with self.db_manager.get_session() as session: + try: + metadata = session.query(UserMetadata).filter( + UserMetadata.key == key + ).first() + + if not metadata: + return False + + session.delete(metadata) + session.commit() + return True + except Exception as e: + session.rollback() + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"Error deleting user metadata: {e}") + return False + + def clear_all_user_metadata(self) -> bool: + """ + Clear all user metadata + + Returns: + True if successful, False otherwise + """ + with self.db_manager.get_session() as session: + try: + session.query(UserMetadata).delete() + session.commit() + console.print("🧹 [green]Cleared all user metadata[/green]") + return True + except Exception as e: + session.rollback() + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"Error clearing user metadata: {e}") + return False diff --git a/runagent/sdk/rest_client.py b/runagent/sdk/rest_client.py index 8b9a335..cce22ca 100644 --- a/runagent/sdk/rest_client.py +++ b/runagent/sdk/rest_client.py @@ -160,8 +160,8 @@ def _request( method=method.upper(), url=url, params=params, - json=data if data and not files else None, - data=None if data and not files else data, + json=data if data is not None and not files else None, + data=None if data is not None and not files else data, headers=request_headers if request_headers else None, files=files, timeout=timeout, diff --git a/runagent/sdk/template_downloader.py b/runagent/sdk/template_downloader.py index 3947ddc..bff3be9 100644 --- a/runagent/sdk/template_downloader.py +++ b/runagent/sdk/template_downloader.py @@ -133,12 +133,52 @@ def _copy_directory_contents(self, source_dir: Path, target_dir: Path) -> None: # Copy file shutil.copy2(item, target_item) - def list_available_templates(self, prepath: str) -> t.Dict[str, t.List[str]]: + def _scan_framework_templates(self, framework_dir: Path, template_list: list, debug_enabled: bool = False): + """ + Helper to scan templates in a framework directory. + + Args: + framework_dir: Path to framework directory + template_list: List to append valid template names to + debug_enabled: Whether to log debug information + """ + import time + import logging + logger = logging.getLogger(__name__) + + for template_dir in framework_dir.iterdir(): + if template_dir.is_dir() and not template_dir.name.startswith("."): + # Verify this is a valid template + # Skip templates that fail validation (e.g., test directories without config) + template_name = template_dir.name + try: + validate_start = time.time() + if debug_enabled: + logger.debug(f"[PERF] Validating template: {template_name}") + is_valid, _ = validate_agent(template_dir) + validate_time = time.time() - validate_start + + if is_valid: + if debug_enabled: + logger.debug(f"[PERF] ✓ {template_name} valid ({validate_time:.3f}s)") + template_list.append(template_name) + else: + if debug_enabled: + logger.debug(f"[PERF] ✗ {template_name} invalid ({validate_time:.3f}s)") + except Exception as e: + if debug_enabled: + validate_time = time.time() - validate_start + logger.debug(f"[PERF] ✗ {template_name} error ({validate_time:.3f}s): {e}") + # Skip invalid templates silently (e.g., test dirs, incomplete templates) + pass + + def list_available_templates(self, prepath: str, framework_filter: str = None) -> t.Dict[str, t.List[str]]: """ List all available templates in the repository Args: prepath: Pre-path before framework directory + framework_filter: Optional specific framework to scan (much faster) Returns: Dictionary mapping framework names to list of template names @@ -146,17 +186,35 @@ def list_available_templates(self, prepath: str) -> t.Dict[str, t.List[str]]: Raises: TemplateDownloadError: If listing fails """ + import time + import logging + import os + logger = logging.getLogger(__name__) + + # Only show debug info if explicitly enabled + debug_enabled = os.getenv('RUNAGENT_DEBUG') == '1' + with tempfile.TemporaryDirectory(dir="/tmp") as temp_dir: temp_path = Path(temp_dir) try: # Shallow clone for listing + start_time = time.time() + if debug_enabled: + logger.info(f"[PERF] Starting git clone from {self.repo_url}") + repo = Repo.clone_from( self.repo_url, temp_path, branch=self.branch, depth=1 ) + + clone_time = time.time() - start_time + if debug_enabled: + logger.info(f"[PERF] Git clone completed in {clone_time:.2f}s") + templates = {} # Navigate to the prepath directory + scan_start = time.time() prepath_dir = temp_path / prepath if prepath else temp_path if not prepath_dir.exists(): @@ -164,29 +222,42 @@ def list_available_templates(self, prepath: str) -> t.Dict[str, t.List[str]]: f"Pre-path '{prepath}' not found in repository branch '{self.branch}'" ) - # Scan for framework directories + # If framework filter specified, only scan that framework's directory + if framework_filter: + if debug_enabled: + logger.info(f"[PERF] Scanning framework: {framework_filter}") + framework_dir = prepath_dir / framework_filter + if framework_dir.exists() and framework_dir.is_dir(): + templates[framework_filter] = [] + fw_start = time.time() + self._scan_framework_templates(framework_dir, templates[framework_filter], debug_enabled) + fw_time = time.time() - fw_start + if debug_enabled: + logger.info(f"[PERF] Scanned {framework_filter} in {fw_time:.2f}s - found {len(templates[framework_filter])} templates") + return templates + + # Scan all framework directories for framework_dir in prepath_dir.iterdir(): - if framework_dir.is_dir() and not framework_dir.name.startswith( - "." - ): + if framework_dir.is_dir() and not framework_dir.name.startswith("."): framework_name = framework_dir.name + if debug_enabled: + logger.info(f"[PERF] Scanning framework: {framework_name}") templates[framework_name] = [] - - # Scan for template directories - for template_dir in framework_dir.iterdir(): - if ( - template_dir.is_dir() - and not template_dir.name.startswith(".") - ): - # Verify this is a valid template (has main.py) - if validate_agent(template_dir): - templates[framework_name].append(template_dir.name) - + fw_start = time.time() + self._scan_framework_templates(framework_dir, templates[framework_name], debug_enabled) + fw_time = time.time() - fw_start + if debug_enabled: + logger.info(f"[PERF] Scanned {framework_name} in {fw_time:.2f}s - found {len(templates[framework_name])} templates") + + scan_time = time.time() - scan_start + if debug_enabled: + logger.info(f"[PERF] Total scanning time: {scan_time:.2f}s") return templates except git.exc.GitCommandError as e: if os.getenv('DISABLE_TRY_CATCH'): raise + raise TemplateDownloadError(f"Git error while listing templates: {e}") except Exception as e: if os.getenv('DISABLE_TRY_CATCH'): diff --git a/runagent/sdk/template_manager.py b/runagent/sdk/template_manager.py index 07d8241..fae8960 100644 --- a/runagent/sdk/template_manager.py +++ b/runagent/sdk/template_manager.py @@ -58,13 +58,11 @@ def list_available( Dictionary mapping framework names to template lists """ try: - templates = self.downloader.list_available_templates(TEMPLATE_PREPATH) - - if framework_filter: - if framework_filter in templates: - return {framework_filter: templates[framework_filter]} - else: - return {} + # Pass framework_filter to downloader for faster scanning + templates = self.downloader.list_available_templates( + TEMPLATE_PREPATH, + framework_filter=framework_filter + ) return templates except Exception as e: @@ -111,8 +109,8 @@ def init_template( ValidationError: If template is invalid FileExistsError: If folder exists and overwrite is False """ - # Validate template exists - available_templates = self.list_available() + # Validate template exists - only fetch for this specific framework + available_templates = self.list_available(framework_filter=framework) if framework not in available_templates: raise ValidationError( diff --git a/runagent/utils/config.py b/runagent/utils/config.py index 7ebb41b..192bdc9 100644 --- a/runagent/utils/config.py +++ b/runagent/utils/config.py @@ -10,7 +10,6 @@ ENV_RUNAGENT_API_KEY, ENV_RUNAGENT_BASE_URL, LOCAL_CACHE_DIRECTORY, - USER_DATA_FILE_NAME, ) @@ -69,27 +68,54 @@ def get_config(project_dir: str) -> t.Optional[t.Dict[str, t.Any]]: @staticmethod def get_user_config() -> t.Dict[str, t.Any]: """ - Get user configuration from {ENV_LOCAL_CACHE_DIRECTORY}/config.json + Get user configuration from database (user_metadata table) Returns: User configuration content """ - config_dir = Path.home() / LOCAL_CACHE_DIRECTORY - config_file = config_dir / USER_DATA_FILE_NAME - - if not config_file.exists(): - return {} - try: - with config_file.open("r") as f: - return json.load(f) + from runagent.sdk.db import DBService + db_service = DBService() + + # Get from database + metadata = db_service.get_all_user_metadata() + + # One-time migration: Check for old JSON file only if database is empty + if not metadata: + config_dir = Path.home() / LOCAL_CACHE_DIRECTORY + config_file = config_dir / "user_data.json" # Legacy file + + if config_file.exists(): + try: + with config_file.open("r") as f: + json_config = json.load(f) + + # Migrate to database + if json_config: + for key, value in json_config.items(): + db_service.set_user_metadata(key, value) + + # Backup and remove old JSON file + backup_file = config_file.with_suffix('.json.backup') + config_file.rename(backup_file) + + return json_config + except Exception: + if os.getenv('DISABLE_TRY_CATCH'): + raise + pass + + return metadata or {} except Exception: + if os.getenv('DISABLE_TRY_CATCH'): + raise + # If database fails, return empty (no fallback) return {} @staticmethod def set_user_config(key: str, value: t.Any) -> bool: """ - Set a value in the user configuration + Set a value in the user configuration (database-backed) Args: key: Configuration key @@ -98,31 +124,10 @@ def set_user_config(key: str, value: t.Any) -> bool: Returns: True if successful, False otherwise """ - config_dir = Path.home() / LOCAL_CACHE_DIRECTORY - config_dir.mkdir(exist_ok=True) - - config_file = config_dir / USER_DATA_FILE_NAME - - # Get existing config or create new - if config_file.exists(): - try: - with config_file.open("r") as f: - config = json.load(f) - except Exception: - if os.getenv('DISABLE_TRY_CATCH'): - raise - config = {} - else: - config = {} - - # Update config - config[key] = value - - # Write config try: - with config_file.open("w") as f: - json.dump(config, f, indent=2) - return True + from runagent.sdk.db import DBService + db_service = DBService() + return db_service.set_user_metadata(key, value) except Exception: if os.getenv('DISABLE_TRY_CATCH'): raise @@ -235,23 +240,18 @@ def get_deployment_info(agent_id: str) -> t.Optional[t.Dict[str, t.Any]]: with info_file.open("r") as f: return json.load(f) - # Add these methods to your Config class - @staticmethod def clear_user_config() -> bool: """ - Clear all user configuration + Clear all user configuration from database Returns: True if successful, False otherwise """ - config_dir = Path.home() / LOCAL_CACHE_DIRECTORY - config_file = config_dir / USER_DATA_FILE_NAME - try: - if config_file.exists(): - config_file.unlink() - return True + from runagent.sdk.db import DBService + db_service = DBService() + return db_service.clear_all_user_metadata() except Exception: if os.getenv('DISABLE_TRY_CATCH'): raise @@ -283,9 +283,6 @@ def get_config_status() -> t.Dict[str, t.Any]: "base_url": Config.get_base_url(), "user_email": config.get("email"), "user_name": config.get("name"), - "config_file_exists": ( - Path.home() / LOCAL_CACHE_DIRECTORY / USER_DATA_FILE_NAME - ).exists(), } @staticmethod From 21deaf8ec195a0e08932d9fc24bdd0bdf703908f Mon Sep 17 00:00:00 2001 From: sawradip Date: Fri, 10 Oct 2025 14:03:10 +0600 Subject: [PATCH 02/22] feat: init coomand interactive --- runagent/cli/commands.py | 6 ++++-- runagent/sdk/template_downloader.py | 2 +- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/runagent/cli/commands.py b/runagent/cli/commands.py index a057355..cfdda9c 100644 --- a/runagent/cli/commands.py +++ b/runagent/cli/commands.py @@ -1200,11 +1200,13 @@ def init(template, blank, name, description, overwrite, path, **kwargs): default="My AI agent" ) - # Step 4: Get path + # Step 4: Get path (default based on agent name) console.print() + # Convert agent name to valid directory name (replace spaces with hyphens, lowercase) + default_path = agent_name.lower().replace(" ", "-").replace("_", "-") path_input = Prompt.ask( "[cyan]Project path[/cyan]", - default="." + default=default_path ) path = Path(path_input) diff --git a/runagent/sdk/template_downloader.py b/runagent/sdk/template_downloader.py index bff3be9..73706d8 100644 --- a/runagent/sdk/template_downloader.py +++ b/runagent/sdk/template_downloader.py @@ -192,7 +192,7 @@ def list_available_templates(self, prepath: str, framework_filter: str = None) - logger = logging.getLogger(__name__) # Only show debug info if explicitly enabled - debug_enabled = os.getenv('RUNAGENT_DEBUG') == '1' + debug_enabled = os.getenv('DISABLE_TRY_CATCH') == '1' with tempfile.TemporaryDirectory(dir="/tmp") as temp_dir: temp_path = Path(temp_dir) From 0d83c50f12daecb253236cbc8d995ea18cfad032 Mon Sep 17 00:00:00 2001 From: sawradip Date: Fri, 10 Oct 2025 15:11:44 +0600 Subject: [PATCH 03/22] feat: fixed & improved template downloading --- runagent/cli/commands.py | 58 ++++++-- runagent/cli/main.py | 7 + runagent/sdk/template_downloader.py | 223 +++++++++++++++++++++++++++- 3 files changed, 275 insertions(+), 13 deletions(-) diff --git a/runagent/cli/commands.py b/runagent/cli/commands.py index cfdda9c..161fb24 100644 --- a/runagent/cli/commands.py +++ b/runagent/cli/commands.py @@ -1148,11 +1148,11 @@ def init(template, blank, name, description, overwrite, path, **kwargs): clone_start = time.time() status.update("[cyan]Cloning template repository...[/cyan]") - templates = sdk.list_templates(framework.value) - clone_time = time.time() - clone_start - - status.update(f"[cyan]Templates fetched ({clone_time:.1f}s)[/cyan]") - template_list = templates.get(framework.value, ["default"]) + templates = sdk.list_templates(framework.value) + clone_time = time.time() - clone_start + + status.update(f"[cyan]Templates fetched ({clone_time:.1f}s)[/cyan]") + template_list = templates.get(framework.value, ["default"]) fetch_time = time.time() - fetch_start @@ -1252,6 +1252,12 @@ def init(template, blank, name, description, overwrite, path, **kwargs): # Update config file with name and description try: + import warnings + from datetime import datetime + + # Suppress Pydantic datetime warnings during config update + warnings.filterwarnings('ignore', category=UserWarning, module='pydantic') + config_path = project_path / "runagent.config.json" if config_path.exists(): with open(config_path, 'r') as f: @@ -1260,6 +1266,16 @@ def init(template, blank, name, description, overwrite, path, **kwargs): config_data['name'] = agent_name config_data['description'] = agent_description + # Fix created_at format if it exists and is a string in wrong format + if 'created_at' in config_data and isinstance(config_data['created_at'], str): + try: + # Try to parse and convert to ISO format + dt = datetime.strptime(config_data['created_at'], "%Y-%m-%d %H:%M:%S") + config_data['created_at'] = dt.isoformat() + except: + # If parsing fails, use current time in ISO format + config_data['created_at'] = datetime.now().isoformat() + with open(config_path, 'w') as f: json.dump(config_data, f, indent=2) @@ -1291,14 +1307,36 @@ def init(template, blank, name, description, overwrite, path, **kwargs): except TemplateError as e: if os.getenv('DISABLE_TRY_CATCH'): raise - console.print(f"❌ [red]Template error:[/red] {e}") - raise click.ClickException("Project initialization failed") + console.print(Panel( + f"[bold red]Template Error[/bold red]\n\n" + f"{str(e)}\n\n" + f"[dim]Please check that the selected framework and template are valid.[/dim]", + title="[bold red]❌ Failed[/bold red]", + border_style="red" + )) + import sys + sys.exit(1) except FileExistsError as e: if os.getenv('DISABLE_TRY_CATCH'): raise - console.print(f"❌ [red]Path exists:[/red] {e}") - console.print("💡 Use [cyan]--overwrite[/cyan] to force initialization") - raise click.ClickException("Project initialization failed") + + # Extract just the path from the error message + path_match = str(e).split("'") + folder_path = path_match[1] if len(path_match) > 1 else "the specified path" + + console.print(Panel( + f"[bold yellow]Directory Already Exists[/bold yellow]\n\n" + f"[dim]Path:[/dim] [cyan]{folder_path}[/cyan]\n\n" + f"The directory already exists and is not empty.\n\n" + f"[bold]Options:[/bold]\n" + f" • Choose a different path\n" + f" • Use [cyan]--overwrite[/cyan] flag to replace existing files\n" + f" • Remove the directory manually", + title="[bold yellow]⚠️ Path Conflict[/bold yellow]", + border_style="yellow" + )) + import sys + sys.exit(1) except click.UsageError: # Re-raise UsageError as-is for proper click handling raise diff --git a/runagent/cli/main.py b/runagent/cli/main.py index 9b83df2..62686db 100644 --- a/runagent/cli/main.py +++ b/runagent/cli/main.py @@ -1,8 +1,15 @@ +import os import click +import warnings from . import commands from .branding import print_logo +if not os.getenv('DISABLE_TRY_CATCH'): + warnings.filterwarnings( + "ignore", + message=".*Pydantic serializer warnings.*" + ) def show_help_with_logo(ctx, param, value): """Custom help callback that shows logo before help text""" diff --git a/runagent/sdk/template_downloader.py b/runagent/sdk/template_downloader.py index 73706d8..cbed3b0 100644 --- a/runagent/sdk/template_downloader.py +++ b/runagent/sdk/template_downloader.py @@ -5,6 +5,7 @@ import tempfile import typing as t from pathlib import Path +import requests import git from git import Repo @@ -29,7 +30,202 @@ def __init__(self, repo_url: str, branch: str = "main"): ''' self.repo_url = repo_url self.branch = branch - + + # Extract GitHub owner/repo for API usage + self.github_token = os.getenv("GITHUB_TOKEN") + if "github.com" in self.repo_url: + parts = self.repo_url.replace(".git", "").split("/") + self.github_owner = parts[-2] + self.github_repo = parts[-1] + self.use_github_api = True + else: + self.use_github_api = False + + def _github_api_get(self, path: str) -> dict: + """ + Make a GET request to GitHub API + + Args: + path: API path (e.g., "repos/owner/repo/contents/path") + + Returns: + JSON response + """ + url = f"https://api.github.com/{path}" + headers = {"Accept": "application/vnd.github.v3+json"} + + if self.github_token: + headers["Authorization"] = f"token {self.github_token}" + + params = {"ref": self.branch} + response = requests.get(url, headers=headers, params=params, timeout=10) + + if response.status_code == 200: + return response.json() + elif response.status_code == 403 and "rate limit" in response.text.lower(): + raise TemplateDownloadError( + "GitHub API rate limit exceeded. Set GITHUB_TOKEN environment variable for higher limits." + ) + else: + raise TemplateDownloadError( + f"GitHub API request failed: {response.status_code} - {response.text}" + ) + + def _download_github_folder_api(self, folder_path: str, local_dir: Path) -> None: + """ + Download a folder from GitHub using API (much faster than git clone) + + Args: + folder_path: Path to folder in repo (e.g., "templates/letta/default") + local_dir: Local directory to save files + """ + api_path = f"repos/{self.github_owner}/{self.github_repo}/contents/{folder_path}" + + try: + contents = self._github_api_get(api_path) + except TemplateDownloadError: + # Fall back to git clone if API fails + raise + + # Create local directory + local_dir.mkdir(parents=True, exist_ok=True) + + for item in contents: + if item['type'] == 'file': + # Download file directly + file_response = requests.get(item['download_url'], timeout=30) + + if file_response.status_code == 200: + local_file_path = local_dir / item['name'] + local_file_path.write_bytes(file_response.content) + else: + raise TemplateDownloadError(f"Failed to download file: {item['name']}") + + elif item['type'] == 'dir': + # Recursively download subdirectory + sub_folder = local_dir / item['name'] + self._download_github_folder_api(item['path'], sub_folder) + + def _list_github_folder_api(self, folder_path: str) -> list: + """ + List contents of a folder on GitHub using API (instant vs cloning) + + Args: + folder_path: Path to folder in repo + + Returns: + List of items in the folder + """ + api_path = f"repos/{self.github_owner}/{self.github_repo}/contents/{folder_path}" + return self._github_api_get(api_path) + + def _list_templates_via_api(self, prepath: str, framework_filter: str = None, debug_enabled: bool = False) -> t.Dict[str, t.List[str]]: + """ + List templates using GitHub API (much faster than git clone!) + + Args: + prepath: Pre-path before framework directory + framework_filter: Optional specific framework to scan + debug_enabled: Whether to log debug information + + Returns: + Dictionary mapping framework names to list of template names + """ + import time + import logging + logger = logging.getLogger(__name__) + + start_time = time.time() + if debug_enabled: + logger.info(f"[PERF] Using GitHub API to list templates") + + templates = {} + + # If framework filter specified, only scan that framework + if framework_filter: + framework_path = f"{prepath}/{framework_filter}" if prepath else framework_filter + try: + if debug_enabled: + logger.info(f"[PERF] Fetching templates for {framework_filter} via API") + + items = self._list_github_folder_api(framework_path) + templates[framework_filter] = [] + + for item in items: + if item['type'] == 'dir' and not item['name'].startswith('.'): + # Check if it has a config file (validate it's a template) + template_name = item['name'] + try: + config_check_path = f"{framework_path}/{template_name}" + template_contents = self._list_github_folder_api(config_check_path) + + # Check if runagent.config.json exists + has_config = any( + f['name'] in ['runagent.config.json', 'runagent.config.yaml', 'runagent.config.yml'] + for f in template_contents + ) + + if has_config: + templates[framework_filter].append(template_name) + if debug_enabled: + logger.debug(f"[PERF] ✓ {template_name} valid") + except Exception as e: + if debug_enabled: + logger.debug(f"[PERF] ✗ {template_name} skipped: {e}") + + api_time = time.time() - start_time + if debug_enabled: + logger.info(f"[PERF] API listing completed in {api_time:.2f}s - found {len(templates[framework_filter])} templates") + + return templates + + except Exception as e: + raise TemplateDownloadError(f"Failed to list templates via API: {e}") + + # Scan all frameworks + try: + if debug_enabled: + logger.info(f"[PERF] Fetching all frameworks via API") + + framework_items = self._list_github_folder_api(prepath if prepath else "") + + for framework_item in framework_items: + if framework_item['type'] == 'dir' and not framework_item['name'].startswith('.'): + framework_name = framework_item['name'] + templates[framework_name] = [] + + # List templates in this framework + try: + framework_path = f"{prepath}/{framework_name}" if prepath else framework_name + template_items = self._list_github_folder_api(framework_path) + + for template_item in template_items: + if template_item['type'] == 'dir' and not template_item['name'].startswith('.'): + template_name = template_item['name'] + try: + # Quick validation: check if config exists + template_contents = self._list_github_folder_api(f"{framework_path}/{template_name}") + has_config = any( + f['name'] in ['runagent.config.json', 'runagent.config.yaml', 'runagent.config.yml'] + for f in template_contents + ) + + if has_config: + templates[framework_name].append(template_name) + except Exception: + pass # Skip invalid templates + except Exception: + pass # Skip frameworks with errors + + api_time = time.time() - start_time + if debug_enabled: + logger.info(f"[PERF] API listing completed in {api_time:.2f}s") + + return templates + + except Exception as e: + raise TemplateDownloadError(f"Failed to list all templates via API: {e}") + def download_template( self, prepath: str, framework: str, template: str, target_folder: str ) -> None: @@ -51,7 +247,18 @@ def download_template( target_dir = Path(target_folder) target_dir.mkdir(parents=True, exist_ok=True) - # Use temporary directory for sparse checkout + # Use GitHub API if available (much faster!) + if self.use_github_api: + try: + self._download_github_folder_api(template_path, target_dir) + return + except Exception as e: + # Fall back to git clone if API fails + import logging + logger = logging.getLogger(__name__) + logger.warning(f"GitHub API download failed, falling back to git clone: {e}") + + # Fallback: Use git clone with sparse checkout with tempfile.TemporaryDirectory() as temp_dir: temp_path = Path(temp_dir) @@ -192,8 +399,18 @@ def list_available_templates(self, prepath: str, framework_filter: str = None) - logger = logging.getLogger(__name__) # Only show debug info if explicitly enabled - debug_enabled = os.getenv('DISABLE_TRY_CATCH') == '1' + debug_enabled = os.getenv('RUNAGENT_DEBUG') == '1' + + # Use GitHub API if available (much faster!) + if self.use_github_api: + try: + return self._list_templates_via_api(prepath, framework_filter, debug_enabled) + except TemplateDownloadError as e: + if debug_enabled: + logger.warning(f"[PERF] GitHub API failed, falling back to git clone: {e}") + # Fall through to git clone method + # Fallback: Use git clone method with tempfile.TemporaryDirectory(dir="/tmp") as temp_dir: temp_path = Path(temp_dir) From 59c7e33905c2966512b46077c037b522683372fb Mon Sep 17 00:00:00 2001 From: sawradip Date: Thu, 23 Oct 2025 22:45:39 +0600 Subject: [PATCH 04/22] feat: split cli cmds into seperate files --- runagent/cli/commands.py | 2786 --------------------------- runagent/cli/commands/config.py | 633 ++++++ runagent/cli/commands/db.py | 659 +++++++ runagent/cli/commands/delete.py | 121 ++ runagent/cli/commands/deploy.py | 108 ++ runagent/cli/commands/init.py | 374 ++++ runagent/cli/commands/run.py | 235 +++ runagent/cli/commands/run_stream.py | 204 ++ runagent/cli/commands/serve.py | 222 +++ runagent/cli/commands/setup.py | 238 +++ runagent/cli/commands/start.py | 101 + runagent/cli/commands/teardown.py | 127 ++ runagent/cli/commands/upload.py | 110 ++ runagent/cli/main.py | 59 +- 14 files changed, 3177 insertions(+), 2800 deletions(-) delete mode 100644 runagent/cli/commands.py create mode 100644 runagent/cli/commands/config.py create mode 100644 runagent/cli/commands/db.py create mode 100644 runagent/cli/commands/delete.py create mode 100644 runagent/cli/commands/deploy.py create mode 100644 runagent/cli/commands/init.py create mode 100644 runagent/cli/commands/run.py create mode 100644 runagent/cli/commands/run_stream.py create mode 100644 runagent/cli/commands/serve.py create mode 100644 runagent/cli/commands/setup.py create mode 100644 runagent/cli/commands/start.py create mode 100644 runagent/cli/commands/teardown.py create mode 100644 runagent/cli/commands/upload.py diff --git a/runagent/cli/commands.py b/runagent/cli/commands.py deleted file mode 100644 index 161fb24..0000000 --- a/runagent/cli/commands.py +++ /dev/null @@ -1,2786 +0,0 @@ -""" -CLI commands that use the restructured SDK internally. -""" -import os -import json -import uuid - -from pathlib import Path - -import click -from rich.console import Console -from rich.table import Table - -from runagent import RunAgent -from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError - AuthenticationError, - TemplateError, - ValidationError, -) -from runagent.client.client import RunAgentClient -from runagent.sdk.server.local_server import LocalServer -from runagent.utils.agent import detect_framework -from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner -from runagent.utils.config import Config -from runagent.sdk.deployment.middleware_sync import get_middleware_sync -from runagent.cli.utils import add_framework_options, get_selected_framework -from runagent.utils.enums.framework import Framework -console = Console() - - -def format_error_message(error_info): - """Format error information from API responses""" - if isinstance(error_info, dict) and "message" in error_info: - # New format with ErrorDetail object - error_message = error_info.get("message", "Unknown error") - error_code = error_info.get("code", "UNKNOWN_ERROR") - return f"[{error_code}] {error_message}" - else: - # Fallback to old format for backward compatibility - return str(error_info) if error_info else "Unknown error" - - -def print_version(ctx, param, value): - """Custom version callback with colored output""" - if not value or ctx.resilient_parsing: - return - try: - from runagent.__version__ import __version__ - from runagent.cli.branding import print_compact_logo - print_compact_logo(brand_color="cyan") - console.print(f"\n[bold white]Version:[/bold white] [bold cyan]{__version__}[/bold cyan]") - console.print(f"[dim]Deploy and manage AI agents with ease 🚀[/dim]\n") - except ImportError: - console.print("[red]runagent version unknown[/red]") - ctx.exit() - - -# ============================================================================ -# Config Command Group -# ============================================================================ - -@click.group(invoke_without_command=True) -@click.option("--set-api-key", help="Set API key directly (e.g., runagent config --set-api-key YOUR_KEY)") -@click.option("--set-base-url", help="Set base URL directly (e.g., runagent config --set-base-url https://api.example.com)") -@click.pass_context -def config(ctx, set_api_key, set_base_url): - """ - Manage RunAgent configuration - - \b - Interactive mode (for humans): - $ runagent config - - \b - Direct flags (for scripts/agents): - $ runagent config --set-api-key YOUR_KEY - $ runagent config --set-base-url https://api.example.com - - \b - Subcommands: - $ runagent config status - $ runagent config reset - """ - - # Handle direct flag options - if set_api_key: - _set_api_key_direct(set_api_key) - return - - if set_base_url: - _set_base_url_direct(set_base_url) - return - - # If no subcommand and no flags, show interactive menu - if ctx.invoked_subcommand is None: - show_interactive_config_menu() - - -def _set_api_key_direct(api_key: str): - """Set API key directly (for --set-api-key flag) with validation""" - from rich.panel import Panel - from rich.status import Status - from runagent.constants import DEFAULT_BASE_URL - - if not api_key or not api_key.strip(): - console.print(Panel( - "[red]❌ API key cannot be empty[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - raise click.ClickException("Invalid API key") - - # Validate and fetch user info - try: - sdk = RunAgent() - base_url = Config.get_base_url() or DEFAULT_BASE_URL - - with Status("[bold cyan]Validating credentials...", spinner="dots"): - sdk.configure(api_key=api_key, base_url=base_url, save=True) - - # Get user info - user_config = Config.get_user_config() - - # Build success message - success_msg = ( - "[bold green]✅ API key updated successfully![/bold green]\n\n" - f"[dim]User:[/dim] [cyan]{user_config.get('user_email', 'N/A')}[/cyan]\n" - f"[dim]Tier:[/dim] [yellow]{user_config.get('user_tier', 'N/A')}[/yellow]" - ) - - # Add project if available - if user_config.get('active_project_name'): - success_msg += f"\n[dim]Project:[/dim] [green]{user_config.get('active_project_name')}[/green]" - - console.print(Panel( - success_msg, - title="[bold green]Success[/bold green]", - border_style="green" - )) - - except AuthenticationError as e: - console.print(Panel( - f"[red]❌ Authentication failed[/red]\n\n" - f"[dim]Error:[/dim] {str(e)}\n\n" - "[yellow]Please check your API key and try again[/yellow]", - title="[bold red]Validation Error[/bold red]", - border_style="red" - )) - raise click.ClickException("Authentication failed") - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(Panel( - f"[red]❌ Failed to save API key[/red]\n\n" - f"[dim]Error:[/dim] {str(e)}", - title="[bold red]Error[/bold red]", - border_style="red" - )) - raise click.ClickException("Failed to save configuration") - - -def _set_base_url_direct(base_url: str): - """Set base URL directly (for --set-base-url flag)""" - from rich.panel import Panel - - # Validate URL format - if not base_url.startswith(('http://', 'https://')): - base_url = f"https://{base_url}" - - success = Config.set_base_url(base_url) - - if success: - console.print(Panel( - f"[bold green]✅ Base URL updated successfully![/bold green]\n\n" - f"[dim]New URL:[/dim] [cyan]{base_url}[/cyan]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - else: - console.print(Panel( - "[red]❌ Failed to save base URL[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - raise click.ClickException("Failed to save configuration") - - -def show_interactive_config_menu(): - """Show interactive configuration menu""" - try: - from rich.panel import Panel - from runagent.cli.branding import print_header - import inquirer - - print_header("Configuration") - - questions = [ - inquirer.List( - 'config_option', - message="What would you like to configure?", - choices=[ - ('🔑 API Key', 'api_key'), - ('🌐 Base URL', 'base_url'), - ('📁 Active Project', 'project'), - ('🔄 Sync Settings', 'sync'), - ('📊 View Status', 'status'), - ('🔃 Reset Configuration', 'reset'), - ], - carousel=True - ), - ] - - answers = inquirer.prompt(questions) - if not answers: - console.print("[dim]Configuration cancelled.[/dim]") - return - - option = answers['config_option'] - - # Route to appropriate handler - if option == 'api_key': - _interactive_set_api_key() - elif option == 'base_url': - _interactive_set_base_url() - elif option == 'project': - _interactive_set_project() - elif option == 'sync': - _interactive_sync_settings() - elif option == 'status': - _show_config_status() - elif option == 'reset': - _interactive_reset_config() - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"[red]Error:[/red] {e}") - - -def _interactive_set_api_key(): - """Interactive API key setup with validation""" - from rich.prompt import Prompt - from rich.panel import Panel - from rich.status import Status - from runagent.constants import DEFAULT_BASE_URL - - api_key = Prompt.ask("[cyan]Enter your API key[/cyan]", password=True) - - if not api_key or not api_key.strip(): - console.print(Panel( - "[red]❌ API key cannot be empty[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - return - - # Validate and fetch user info - try: - sdk = RunAgent() - base_url = Config.get_base_url() or DEFAULT_BASE_URL - - with Status("[bold cyan]Validating credentials...", spinner="dots"): - sdk.configure(api_key=api_key, base_url=base_url, save=True) - - # Get user info - user_config = Config.get_user_config() - - # Build success message - success_msg = ( - "[bold green]✅ API key updated successfully![/bold green]\n\n" - f"[dim]User:[/dim] [cyan]{user_config.get('user_email', 'N/A')}[/cyan]\n" - f"[dim]Tier:[/dim] [yellow]{user_config.get('user_tier', 'N/A')}[/yellow]" - ) - - # Add project if available - if user_config.get('active_project_name'): - success_msg += f"\n[dim]Project:[/dim] [green]{user_config.get('active_project_name')}[/green]" - - console.print(Panel( - success_msg, - title="[bold green]Success[/bold green]", - border_style="green" - )) - - except AuthenticationError as e: - console.print(Panel( - f"[red]❌ Authentication failed[/red]\n\n" - f"[dim]Error:[/dim] {str(e)}\n\n" - "[yellow]Please check your API key and try again[/yellow]", - title="[bold red]Validation Error[/bold red]", - border_style="red" - )) - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(Panel( - f"[red]❌ Failed to save API key[/red]\n\n" - f"[dim]Error:[/dim] {str(e)}", - title="[bold red]Error[/bold red]", - border_style="red" - )) - - -def _interactive_set_base_url(): - """Interactive base URL setup""" - from rich.prompt import Prompt - from rich.panel import Panel - from runagent.constants import DEFAULT_BASE_URL - - console.print(f"[dim]Current: {Config.get_base_url()}[/dim]") - console.print(f"[dim]Default: {DEFAULT_BASE_URL}[/dim]\n") - - base_url = Prompt.ask( - "[cyan]Enter base URL[/cyan]", - default=DEFAULT_BASE_URL - ) - - if not base_url.startswith(('http://', 'https://')): - base_url = f"https://{base_url}" - - success = Config.set_base_url(base_url) - - if success: - console.print(Panel( - f"[bold green]✅ Base URL updated successfully![/bold green]\n\n" - f"[dim]New URL:[/dim] [cyan]{base_url}[/cyan]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - else: - console.print(Panel( - "[red]❌ Failed to save base URL[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - - -def _interactive_sync_settings(): - """Interactive sync settings configuration""" - try: - from rich.panel import Panel - import inquirer - - # Get current status - user_config = Config.get_user_config() - current_status = user_config.get('local_sync_enabled', True) - - # Show current status - if current_status: - status_text = "[green]Currently: ENABLED[/green]" - else: - status_text = "[red]Currently: DISABLED[/red]" - - console.print(f"\n📡 Middleware Sync {status_text}\n") - - # Ask what to do - questions = [ - inquirer.List( - 'sync_action', - message="Select sync preference", - choices=[ - ('✅ Enable Sync (sync local runs to middleware)', 'enable'), - ('❌ Disable Sync (local only)', 'disable'), - ], - default=('✅ Enable Sync (sync local runs to middleware)', 'enable') if current_status else ('❌ Disable Sync (local only)', 'disable'), - carousel=True - ), - ] - - answers = inquirer.prompt(questions) - if not answers: - console.print("[dim]Sync configuration cancelled.[/dim]") - return - - action = answers['sync_action'] - - # Set the preference - new_status = (action == 'enable') - Config.set_user_config('local_sync_enabled', new_status) - - if new_status: - console.print(Panel( - "[bold green]✅ Middleware sync enabled![/bold green]\n\n" - "[dim]Local agent runs will now sync to middleware.[/dim]\n" - "[dim]Requires valid API key.[/dim]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - else: - console.print(Panel( - "[bold yellow]⚠️ Middleware sync disabled[/bold yellow]\n\n" - "[dim]Local agents will only store data locally.[/dim]\n" - "[dim]Your runs won't appear in the middleware dashboard.[/dim]", - title="[bold]Sync Disabled[/bold]", - border_style="yellow" - )) - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"[red]Error:[/red] {e}") - - -def _interactive_set_project(): - """Interactive project selection from API""" - try: - from rich.panel import Panel - from rich.status import Status - import inquirer - - # Get API key - api_key = Config.get_api_key() - if not api_key: - console.print(Panel( - "[red]❌ No API key configured[/red]\n\n" - "[dim]Run 'runagent setup' first[/dim]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - return - - # Fetch projects from API - console.print("\n[cyan]📁 Fetching your projects...[/cyan]\n") - - from runagent.sdk.rest_client import RestClient - - with Status("[bold cyan]Loading projects...", spinner="dots"): - rest_client = RestClient( - api_key=api_key, - base_url=Config.get_base_url() - ) - - try: - response = rest_client.http.get("/projects?page=1&per_page=20&include_stats=false") - - if response.status_code != 200: - console.print(Panel( - f"[red]❌ Failed to fetch projects (Status: {response.status_code})[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - return - - projects_data = response.json() - - if not projects_data.get("success"): - console.print(Panel( - f"[red]❌ {projects_data.get('error', 'Failed to fetch projects')}[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - return - - projects = projects_data.get("data", {}).get("projects", []) - - if not projects: - console.print(Panel( - "[yellow]⚠️ No projects found[/yellow]\n\n" - "[dim]Create a project in the dashboard first[/dim]", - title="[bold]No Projects[/bold]", - border_style="yellow" - )) - return - - except Exception as e: - console.print(Panel( - f"[red]❌ Error fetching projects: {str(e)}[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - return - - # Show project selection - current_project_id = Config.get_user_config().get('active_project_id') - - project_choices = [] - default_choice = None - - for project in projects: - project_id = project.get('id') - project_name = project.get('name', 'Unnamed') - is_default = project.get('is_default', False) - - # Mark current and default projects - label = f"📁 {project_name}" - if project_id == current_project_id: - label = f"✓ {label} [current]" - default_choice = (label, project_id) - elif is_default: - label = f"{label} [default]" - - choice_tuple = (label, project_id) - project_choices.append(choice_tuple) - - if not default_choice and is_default: - default_choice = choice_tuple - - questions = [ - inquirer.List( - 'project', - message="Select active project", - choices=project_choices, - default=default_choice, - carousel=True - ), - ] - - answers = inquirer.prompt(questions) - if not answers: - console.print("[dim]Project selection cancelled.[/dim]") - return - - selected_project_id = answers['project'] - - # Find selected project details - selected_project = next( - (p for p in projects if p.get('id') == selected_project_id), - None - ) - - if not selected_project: - console.print("[red]Error: Project not found[/red]") - return - - # Save to database - Config.set_user_config('active_project_id', selected_project_id) - Config.set_user_config('active_project_name', selected_project.get('name')) - - console.print(Panel( - f"[bold green]✅ Active project updated![/bold green]\n\n" - f"[dim]Project:[/dim] [cyan]{selected_project.get('name')}[/cyan]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"[red]Error:[/red] {e}") - - -def _show_config_status(): - """Show configuration status (helper for interactive menu and status command)""" - from rich.panel import Panel - from rich.table import Table - - user_config = Config.get_user_config() - api_key = Config.get_api_key() - base_url = Config.get_base_url() - - # Create status table - table = Table(show_header=False, box=None, padding=(0, 2)) - table.add_column("Setting", style="dim") - table.add_column("Value", style="cyan") - - # API Key status - if api_key: - masked_key = api_key[:8] + "..." + api_key[-4:] if len(api_key) > 12 else "***" - table.add_row("🔑 API Key", f"[green]✓[/green] {masked_key}") - else: - table.add_row("🔑 API Key", "[red]✗ Not set[/red]") - - # Base URL - table.add_row("🌐 Base URL", base_url or "[yellow]Using default[/yellow]") - - # User info - if user_config.get('user_email'): - table.add_row("✉️ Email", user_config.get('user_email')) - - if user_config.get('user_tier'): - table.add_row("🎯 Tier", user_config.get('user_tier')) - - # Active project - if user_config.get('active_project_name'): - table.add_row("📁 Active Project", user_config.get('active_project_name')) - - # Sync status - sync_enabled = user_config.get('local_sync_enabled', True) - if sync_enabled: - table.add_row("🔄 Middleware Sync", "[green]✓ Enabled[/green]") - else: - table.add_row("🔄 Middleware Sync", "[yellow]⚠ Disabled[/yellow]") - - console.print(Panel( - table, - title="[bold cyan]RunAgent Configuration[/bold cyan]", - border_style="cyan" - )) - - # Show helpful info - console.print("\n[dim]💡 Use arrow keys in interactive mode: 'runagent config'[/dim]") - console.print("[dim]💡 Direct flags for automation: 'runagent config --set-api-key '[/dim]\n") - - -def _interactive_reset_config(): - """Interactive reset configuration (helper for interactive menu)""" - from rich.prompt import Confirm - from rich.panel import Panel - - console.print("[yellow]⚠️ This will remove all your configuration including API key[/yellow]") - if not Confirm.ask("\n[bold]Are you sure you want to reset?[/bold]", default=False): - console.print("[dim]Reset cancelled.[/dim]") - return - - sdk = RunAgent() - sdk.config.clear() - - console.print(Panel( - "[bold green]✅ Configuration reset successfully![/bold green]\n\n" - "[dim]Run 'runagent setup' to configure again.[/dim]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - - - - -@config.command("status") -def config_status_cmd(): - """Show current configuration status""" - _show_config_status() - - -@config.command("reset") -@click.option("--yes", is_flag=True, help="Skip confirmation") -def config_reset_cmd(yes): - """Reset configuration to defaults""" - if yes: - _reset_config_without_prompt() - else: - _interactive_reset_config() - - -def _reset_config_without_prompt(): - """Reset config without confirmation (for --yes flag)""" - from rich.panel import Panel - - try: - sdk = RunAgent() - sdk.config.clear() - - console.print(Panel( - "[bold green]✅ Configuration reset successfully![/bold green]\n\n" - "[dim]Run 'runagent setup' to configure again.[/dim]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"[red]Error:[/red] {e}") - raise click.ClickException("Reset failed") - -@click.command() -@click.option("--again", is_flag=True, help="Reconfigure even if already setup") -def setup(again): - """ - Setup RunAgent authentication - - \b - First-time setup: - $ runagent setup - - \b - Reconfigure: - $ runagent setup --again - - \b - Change specific settings later: - $ runagent config set-api-key - $ runagent config set-base-url - """ - try: - from runagent.cli.branding import print_setup_banner - from rich.prompt import Prompt, Confirm - from rich.panel import Panel - - sdk = RunAgent() - api_key = Config.get_api_key() - - # Check if already configured - if api_key and not again: - config_status = sdk.get_config_status() - user_email = config_status.get('user_info', {}).get('email', 'N/A') - - console.print(Panel( - "[bold cyan]✅ RunAgent is already configured![/bold cyan]\n\n" - f"[dim]User:[/dim] [green]{user_email}[/green]\n" - f"[dim]Base URL:[/dim] [cyan]{config_status.get('base_url')}[/cyan]\n\n" - "[dim]To reconfigure, run:[/dim] [white]runagent setup --again[/white]\n" - "[dim]To view config:[/dim] [white]runagent config status[/white]", - title="[bold]Already Setup[/bold]", - border_style="cyan" - )) - return - - # Show welcome banner for new setup - if not api_key or again: - if not api_key: - print_setup_banner() - else: - console.print("\n[bold cyan]🔄 Reconfiguring RunAgent[/bold cyan]\n") - - # Show setup method options with arrow-key selection - console.print("[bold cyan]Choose your setup method:[/bold cyan]\n") - - import inquirer - - questions = [ - inquirer.List( - 'setup_method', - message="Select setup method", - choices=[ - ('🪄 Express Setup (Browser login - Coming Soon!)', 'express'), - ('🔑 Manual Setup (Enter API key)', 'manual'), - ], - default=('🔑 Manual Setup (Enter API key)', 'manual'), - carousel=True - ), - ] - - answers = inquirer.prompt(questions) - if not answers: - console.print("[dim]Setup cancelled.[/dim]") - return - - choice = answers['setup_method'] - - if choice == "express": - # Express setup - coming soon - console.print(Panel( - "[bold cyan]🚀 Express Setup - Coming Soon![/bold cyan]\n\n" - "This feature will allow you to authenticate via your browser.\n\n" - "[dim]For now, please use Manual Setup[/dim]\n\n" - "📚 [link=https://docs.runagent.dev/setup]Learn more[/link]", - title="[bold]Feature Preview[/bold]", - border_style="cyan" - )) - - if not Confirm.ask("\n[bold]Continue with Manual Setup?[/bold]", default=True): - console.print("[dim]Setup cancelled.[/dim]") - return - - # Manual setup - prompt for API key - console.print("\n[bold white]📝 Manual Setup[/bold white]\n") - api_key = Prompt.ask( - "[cyan]Enter your API key[/cyan]", - password=True - ) - - if not api_key or not api_key.strip(): - console.print(Panel( - "[red]❌ API key cannot be empty[/red]", - title="[bold red]Error[/bold red]", - border_style="red" - )) - raise click.ClickException("Invalid API key") - - console.print("\n🔑 [cyan]Configuring RunAgent...[/cyan]") - - # Configure SDK with validation - try: - from rich.status import Status - from runagent.constants import DEFAULT_BASE_URL - - # Use default base URL from constants - base_url = Config.get_base_url() or DEFAULT_BASE_URL - - with Status("[bold cyan]Validating credentials...", spinner="dots", console=console) as status: - sdk.configure(api_key=api_key, base_url=base_url, save=True) - - console.print(Panel( - "[bold green]✅ Setup completed successfully![/bold green]\n\n" - "[dim]Your credentials have been saved securely.[/dim]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - except AuthenticationError as auth_err: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Authentication failed:[/red] {auth_err}") - - # Provide specific troubleshooting based on error message - error_msg = str(auth_err).lower() - console.print("\n💡 [yellow]Troubleshooting:[/yellow]") - - if "invalid api key" in error_msg or "not authenticated" in error_msg: - console.print(" • Check that your API key is correct") - console.print(" • Verify the API key is not expired") - console.print(" • Ensure you have access to the middleware") - elif "connection" in error_msg or "timeout" in error_msg: - console.print(" • Check your internet connection") - console.print(" • Verify the middleware server is accessible") - from runagent.constants import DEFAULT_BASE_URL - display_url = base_url if 'base_url' in locals() else DEFAULT_BASE_URL - console.print(f" • Trying to connect to: {display_url}") - else: - console.print(" • Check your API key and network connection") - console.print(" • Contact support if the issue persists") - - raise click.ClickException("Authentication failed") - - # Show user information (from cached data) - config_status = sdk.get_config_status() - user_info = config_status.get('user_info', {}) - - if user_info and user_info.get('email'): - from rich.panel import Panel - from rich.table import Table - - # Create info table - info_table = Table(show_header=False, box=None, padding=(0, 2)) - info_table.add_column("", style="dim", no_wrap=True) - info_table.add_column("", style="cyan") - - info_table.add_row("✉️ Email", user_info.get('email')) - info_table.add_row("🎯 Tier", user_info.get('tier', 'Free')) - - # Show active project - user_config = Config.get_user_config() - active_project = user_config.get('active_project_name') - if active_project: - info_table.add_row("📁 Active Project", active_project) - - console.print(Panel( - info_table, - title="[bold]👤 User Information[/bold]", - border_style="cyan" - )) - - # Show sync status (simplified) - console.print("\n🔄 [bold]Middleware Sync Status:[/bold]") - try: - from runagent.sdk.deployment.middleware_sync import MiddlewareSyncService - sync_service = MiddlewareSyncService(sdk.config) - - if sync_service.is_sync_enabled(): - console.print(" Status: [green]✅ ENABLED[/green]") - console.print(" 📊 Local agent runs will sync to middleware") - else: - console.print(" Status: [yellow]⚠️ DISABLED[/yellow]") - console.print(" 📊 Only local storage will be used") - - except Exception as e: - console.print(f" Status: [yellow]Unknown - {e}[/yellow]") - - # Show next steps - Simple workflow - console.print("\n💡 [bold]Next Steps:[/bold]") - console.print(" 1️⃣ Initialize a new agent: [cyan]runagent init[/cyan]") - console.print(" 2️⃣ Serve it locally: [cyan]runagent serve [/cyan]") - console.print(" 3️⃣ Invoke your agent: [cyan]runagent run --id --tag [/cyan]") - - except AuthenticationError: - # Already handled above - raise - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Setup error:[/red] {e}") - raise click.ClickException("Setup failed") - - - -@click.command() -@click.option("--yes", is_flag=True, help="Skip confirmation") -def teardown(yes): - """Complete teardown - Remove RunAgent configuration AND database""" - try: - from runagent.cli.branding import print_header - from rich.panel import Panel - from rich.prompt import Confirm - from runagent.constants import LOCAL_CACHE_DIRECTORY, DATABASE_FILE_NAME - from pathlib import Path - - print_header("Complete Teardown") - - sdk = RunAgent() - - if not yes: - config_status = sdk.get_config_status() - db_stats = sdk.db_service.get_database_stats() - - # Show what will be deleted - console.print(Panel( - "[bold red]⚠️ COMPLETE TEARDOWN[/bold red]\n\n" - "This will permanently delete:\n" - " • All configuration (API key, user info, settings)\n" - " • Complete database (all agents, runs, logs, history)\n" - " • All local agent data\n\n" - "[yellow]This action CANNOT be undone![/yellow]", - title="[bold red]Warning[/bold red]", - border_style="red" - )) - - console.print("\n📊 [bold]Current data:[/bold]") - if config_status.get("configured"): - console.print(f" User: [cyan]{config_status.get('user_info', {}).get('email', 'N/A')}[/cyan]") - console.print(f" Total agents: [yellow]{db_stats.get('total_agents', 0)}[/yellow]") - console.print(f" Total runs: [yellow]{db_stats.get('total_runs', 0)}[/yellow]") - console.print(f" Database size: [yellow]{db_stats.get('database_size_mb', 0)} MB[/yellow]\n") - - if not Confirm.ask( - "[bold red]Are you absolutely sure you want to proceed?[/bold red]", - default=False - ): - console.print("[dim]Teardown cancelled.[/dim]") - return - - # Clear configuration from database - sdk.config.clear() - - # Close database connections - sdk.db_service.close() - - # Delete database file - db_path = Path(LOCAL_CACHE_DIRECTORY) / DATABASE_FILE_NAME - if db_path.exists(): - db_path.unlink() - console.print(f"🗑️ [dim]Deleted database: {db_path}[/dim]") - - # Delete legacy JSON file if exists - json_file = Path(LOCAL_CACHE_DIRECTORY) / "user_data.json" - if json_file.exists(): - json_file.unlink() - console.print(f"🗑️ [dim]Deleted legacy config: {json_file}[/dim]") - - console.print(Panel( - "[bold green]✅ RunAgent teardown completed successfully![/bold green]\n\n" - "All configuration and data have been removed.\n\n" - "[dim]To start fresh, run:[/dim] [cyan]runagent setup[/cyan]", - title="[bold green]Complete[/bold green]", - border_style="green" - )) - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(Panel( - f"[red]❌ Teardown error:[/red] {str(e)}", - title="[bold red]Error[/bold red]", - border_style="red" - )) - raise click.ClickException("Teardown failed") - - -@click.command() -@click.option("--id", "agent_id", required=True, help="Agent ID to delete") -@click.option("--yes", is_flag=True, help="Skip confirmation") -def delete(agent_id, yes): - """Delete an agent from the local database""" - try: - from runagent.cli.branding import print_header - print_header("Delete Agent") - - sdk = RunAgent() - - # Get agent info first - agent = sdk.db_service.get_agent(agent_id) - if not agent: - console.print(f"❌ [red]Agent {agent_id} not found in database[/red]") - - # Show available agents - console.print("\n💡 Available agents:") - agents = sdk.db_service.list_agents() - if agents: - table = Table(title="Available Agents") - table.add_column("Agent ID", style="magenta") - table.add_column("Framework", style="green") - table.add_column("Status", style="yellow") - table.add_column("Deployed At", style="dim") - - for agent in agents[:10]: # Show first 10 - table.add_row( - agent['agent_id'][:8] + "...", - agent['framework'], - agent['status'], - agent['deployed_at'] or "Unknown" - ) - console.print(table) - else: - console.print(" No agents found in database") - - raise click.ClickException("Agent not found") - - # Show agent details - console.print(f"\n🔍 [yellow]Agent to be deleted:[/yellow]") - console.print(f" Agent ID: [bold magenta]{agent['agent_id']}[/bold magenta]") - console.print(f" Framework: [green]{agent['framework']}[/green]") - console.print(f" Path: [blue]{agent['agent_path']}[/blue]") - console.print(f" Status: [yellow]{agent['status']}[/yellow]") - console.print(f" Deployed: [dim]{agent['deployed_at']}[/dim]") - console.print(f" Total Runs: [cyan]{agent['run_count']}[/cyan]") - - # Confirmation - if not yes: - if not click.confirm("\n⚠️ This will permanently delete the agent from the database. Continue?"): - console.print("Deletion cancelled.") - return - - # Delete the agent - result = sdk.db_service.force_delete_agent(agent_id) - - if result["success"]: - console.print(f"\n✅ [green]Agent {agent_id} deleted successfully![/green]") - - # Show updated capacity - capacity_info = sdk.db_service.get_database_capacity_info() - console.print(f"📊 Updated capacity: [cyan]{capacity_info.get('current_count', 0)}/5[/cyan] agents") - else: - console.print(f"❌ [red]Failed to delete agent:[/red] {format_error_message(result.get('error'))}") - import sys - sys.exit(1) - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Delete error:[/red] {e}") - import sys - sys.exit(1) - - -@click.command() -@click.option("--template", help="Template variant (default, advanced, etc.) - for non-interactive") -@click.option("--blank", is_flag=True, help="Start from blank template - for non-interactive") -@click.option("--name", help="Agent name - for non-interactive") -@click.option("--description", help="Agent description - for non-interactive") -@click.option("--overwrite", is_flag=True, help="Overwrite existing folder") -@add_framework_options # Adds framework flags for non-interactive -@click.argument( - "path", - type=click.Path( - file_okay=False, - dir_okay=True, - readable=True, - resolve_path=True, - path_type=Path, - ), - default=".", - required=False, -) -def init(template, blank, name, description, overwrite, path, **kwargs): - """ - Initialize a new RunAgent project - - \b - Interactive mode (default - recommended): - $ runagent init - - \b - Non-interactive with template: - $ runagent init --framework langgraph --template advanced --name "My Agent" --description "Does XYZ" ./my-agent - - \b - Non-interactive blank: - $ runagent init --blank --name "Custom Agent" --description "My custom implementation" - """ - - try: - from runagent.cli.branding import print_header - from rich.prompt import Prompt - from rich.panel import Panel - import inquirer - - print_header("Initialize Project") - - sdk = RunAgent() - - # Determine if interactive mode - selected_framework = get_selected_framework(kwargs) - has_required_non_interactive = ( - (selected_framework or blank) and name and description - ) - is_interactive = not has_required_non_interactive - - # Variables to collect - agent_name = name - agent_description = description - use_blank = blank - framework = selected_framework - selected_template = template or "default" - - if is_interactive: - # Step 1: Choose blank or template - console.print("[bold cyan]How would you like to start?[/bold cyan]\n") - - start_questions = [ - inquirer.List( - 'start_type', - message="Select starting point", - choices=[ - ('📦 From Template (recommended)', 'template'), - ('📄 Blank Project (advanced)', 'blank'), - ], - default=('📦 From Template (recommended)', 'template'), - carousel=True - ), - ] - - start_answer = inquirer.prompt(start_questions) - if not start_answer: - console.print("[dim]Initialization cancelled.[/dim]") - return - - use_blank = (start_answer['start_type'] == 'blank') - - # Step 2: If template, select framework and template - if not use_blank: - # Select framework - console.print("\n[bold]Select framework:[/bold]\n") - selectable_frameworks = Framework.get_selectable_frameworks() - - framework_choices = [] - for fw in selectable_frameworks: - category_emoji = "🐍" if fw.is_pythonic() else "🌐" if fw.is_webhook() else "❓" - label = f"{category_emoji} {fw.value} ({fw.category})" - framework_choices.append((label, fw)) - - fw_questions = [ - inquirer.List( - 'framework', - message="Choose framework", - choices=framework_choices, - carousel=True - ), - ] - - fw_answer = inquirer.prompt(fw_questions) - if not fw_answer: - console.print("[dim]Initialization cancelled.[/dim]") - return - - framework = fw_answer['framework'] - - # Select template for chosen framework - console.print(f"\n[bold]Select template for {framework.value}:[/bold]") - - # Fetch templates with real progress feedback - from rich.status import Status - import time - - fetch_start = time.time() - - with Status( - "[cyan]Fetching available templates...[/cyan]", - console=console, - spinner="dots" - ) as status: - clone_start = time.time() - status.update("[cyan]Cloning template repository...[/cyan]") - - templates = sdk.list_templates(framework.value) - clone_time = time.time() - clone_start - - status.update(f"[cyan]Templates fetched ({clone_time:.1f}s)[/cyan]") - template_list = templates.get(framework.value, ["default"]) - - fetch_time = time.time() - fetch_start - - console.print(f"[dim]✓ Found {len(template_list)} template(s) in {fetch_time:.1f}s[/dim]") - - # Auto-select if only one template available - if len(template_list) == 1: - selected_template = template_list[0] - console.print(f"[dim]→ Using template: {selected_template}[/dim]\n") - else: - # Show dropdown for multiple templates - console.print() - template_choices = [(f"🧱 {tmpl}", tmpl) for tmpl in template_list] - - tmpl_questions = [ - inquirer.List( - 'template', - message="Choose template", - choices=template_choices, - carousel=True - ), - ] - - tmpl_answer = inquirer.prompt(tmpl_questions) - if not tmpl_answer: - console.print("[dim]Initialization cancelled.[/dim]") - return - - selected_template = tmpl_answer['template'] - else: - # Blank project uses default framework - framework = Framework.DEFAULT - selected_template = "default" - - # Step 3: Get agent name and description (for both blank and template) - console.print("\n[bold]Agent Details:[/bold]\n") - - agent_name = Prompt.ask( - "[cyan]Agent name[/cyan]", - default="my-agent" - ) - - agent_description = Prompt.ask( - "[cyan]Agent description[/cyan]", - default="My AI agent" - ) - - # Step 4: Get path (default based on agent name) - console.print() - # Convert agent name to valid directory name (replace spaces with hyphens, lowercase) - default_path = agent_name.lower().replace(" ", "-").replace("_", "-") - path_input = Prompt.ask( - "[cyan]Project path[/cyan]", - default=default_path - ) - path = Path(path_input) - - # Ensure framework is set - if not framework: - framework = Framework.DEFAULT - - # Validate framework if it came from string input - if isinstance(framework, str): - try: - framework = Framework.from_string(framework) - except ValueError as e: - raise click.UsageError(str(e)) - - # Use the path as the project location - project_path = path.resolve() - - # Ensure the path exists - project_path.parent.mkdir(parents=True, exist_ok=True) - - # Show configuration summary - console.print(Panel( - f"[bold]Project Configuration:[/bold]\n\n" - f"[dim]Name:[/dim] [cyan]{agent_name}[/cyan]\n" - f"[dim]Description:[/dim] [white]{agent_description}[/white]\n" - f"[dim]Framework:[/dim] [magenta]{framework.value}[/magenta]\n" - f"[dim]Template:[/dim] [yellow]{selected_template}[/yellow]\n" - f"[dim]Path:[/dim] [blue]{project_path}[/blue]", - title="[bold cyan]Creating Agent[/bold cyan]", - border_style="cyan" - )) - - # Initialize project - success = sdk.init_project( - folder_path=project_path, - framework=framework.value, - template=selected_template, - overwrite=overwrite - ) - - if not success: - raise Exception("Project initialization failed") - - # Update config file with name and description - try: - import warnings - from datetime import datetime - - # Suppress Pydantic datetime warnings during config update - warnings.filterwarnings('ignore', category=UserWarning, module='pydantic') - - config_path = project_path / "runagent.config.json" - if config_path.exists(): - with open(config_path, 'r') as f: - config_data = json.load(f) - - config_data['name'] = agent_name - config_data['description'] = agent_description - - # Fix created_at format if it exists and is a string in wrong format - if 'created_at' in config_data and isinstance(config_data['created_at'], str): - try: - # Try to parse and convert to ISO format - dt = datetime.strptime(config_data['created_at'], "%Y-%m-%d %H:%M:%S") - config_data['created_at'] = dt.isoformat() - except: - # If parsing fails, use current time in ISO format - config_data['created_at'] = datetime.now().isoformat() - - with open(config_path, 'w') as f: - json.dump(config_data, f, indent=2) - - console.print("\n[dim]✓ Updated agent name and description in config[/dim]") - except Exception as e: - console.print(f"[yellow]⚠️ Could not update config: {e}[/yellow]") - - # Success message - relative_path = project_path.relative_to(Path.cwd()) if project_path != Path.cwd() else Path(".") - - console.print(Panel( - f"[bold green]✅ Agent '{agent_name}' created successfully![/bold green]\n\n" - f"[dim]Location:[/dim] [cyan]{relative_path}[/cyan]\n" - f"[dim]Framework:[/dim] [magenta]{framework.value}[/magenta]", - title="[bold green]Success[/bold green]", - border_style="green" - )) - - # Simple next steps - console.print("\n💡 [bold]Next Steps:[/bold]") - if relative_path != Path("."): - console.print(f" 1️⃣ [cyan]cd {relative_path}[/cyan]") - console.print(f" 2️⃣ Install dependencies: [cyan]pip install -r requirements.txt[/cyan]") - console.print(f" 3️⃣ Serve locally: [cyan]runagent serve .[/cyan]") - else: - console.print(f" 1️⃣ Install dependencies: [cyan]pip install -r requirements.txt[/cyan]") - console.print(f" 2️⃣ Serve locally: [cyan]runagent serve .[/cyan]") - - except TemplateError as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(Panel( - f"[bold red]Template Error[/bold red]\n\n" - f"{str(e)}\n\n" - f"[dim]Please check that the selected framework and template are valid.[/dim]", - title="[bold red]❌ Failed[/bold red]", - border_style="red" - )) - import sys - sys.exit(1) - except FileExistsError as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - - # Extract just the path from the error message - path_match = str(e).split("'") - folder_path = path_match[1] if len(path_match) > 1 else "the specified path" - - console.print(Panel( - f"[bold yellow]Directory Already Exists[/bold yellow]\n\n" - f"[dim]Path:[/dim] [cyan]{folder_path}[/cyan]\n\n" - f"The directory already exists and is not empty.\n\n" - f"[bold]Options:[/bold]\n" - f" • Choose a different path\n" - f" • Use [cyan]--overwrite[/cyan] flag to replace existing files\n" - f" • Remove the directory manually", - title="[bold yellow]⚠️ Path Conflict[/bold yellow]", - border_style="yellow" - )) - import sys - sys.exit(1) - except click.UsageError: - # Re-raise UsageError as-is for proper click handling - raise - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Initialization error:[/red] {e}") - raise click.ClickException("Project initialization failed") - - -@click.command() -@click.option( - "--list", "action_list", is_flag=True, help="List all available templates" -) -@click.option( - "--info", "action_info", is_flag=True, help="Get detailed template information" -) -@click.option("--framework", help="Framework name (required for --info)") -@click.option("--template", help="Template name (required for --info)") -@click.option("--filter-framework", help="Filter templates by framework") -@click.option( - "--format", - type=click.Choice(["table", "json"]), - default="table", - help="Output format", -) -def template(action_list, action_info, framework, template, filter_framework, format): - """Manage project templates""" - from runagent.cli.branding import print_header - print_header("Templates") - - if not action_list and not action_info: - console.print( - "❌ Please specify either [cyan]--list[/cyan] or [cyan]--info[/cyan]" - ) - raise click.ClickException("No action specified") - - try: - sdk = RunAgent() - - if action_list: - templates = sdk.list_templates(framework=filter_framework) - - if format == "json": - console.print(json.dumps(templates, indent=2)) - else: - console.print("📋 [bold cyan]Available Templates:[/bold cyan]") - for framework_name, template_list in templates.items(): - console.print(f"\n🎯 [bold blue]{framework_name}:[/bold blue]") - for tmpl in template_list: - console.print(f" • {tmpl}") - - console.print( - f"\n💡 Use [cyan]'runagent template --info --framework --template '[/cyan] for details" - ) - - elif action_info: - if not framework or not template: - console.print( - "❌ Both [cyan]--framework[/cyan] and [cyan]--template[/cyan] are required for --info" - ) - raise click.ClickException("Missing required parameters") - - template_info = sdk.get_template_info(framework, template) - - if template_info: - console.print( - f"📋 [bold cyan]Template: {framework}/{template}[/bold cyan]" - ) - console.print( - f"Framework: [magenta]{template_info['framework']}[/magenta]" - ) - console.print(f"Template: [yellow]{template_info['template']}[/yellow]") - - if "metadata" in template_info: - metadata = template_info["metadata"] - if "description" in metadata: - console.print(f"Description: {metadata['description']}") - if "requirements" in metadata: - console.print( - f"Requirements: {', '.join(metadata['requirements'])}" - ) - - console.print(f"\n📁 [bold]Structure:[/bold]") - console.print(f"Files: {', '.join(template_info['files'])}") - if template_info.get("directories"): - console.print( - f"Directories: {', '.join(template_info['directories'])}" - ) - - if "readme" in template_info: - console.print(f"\n📖 [bold]README:[/bold]") - console.print("-" * 50) - console.print( - template_info["readme"][:500] + "..." - if len(template_info["readme"]) > 500 - else template_info["readme"] - ) - console.print("-" * 50) - - console.print(f"\n🚀 [bold]To use this template:[/bold]") - console.print( - f"[cyan]runagent init --framework {framework} --template {template}[/cyan]" - ) - else: - console.print( - f"❌ Template [yellow]{framework}/{template}[/yellow] not found" - ) - - # Show available templates - templates = sdk.list_templates() - if framework in templates: - console.print( - f"Available templates for {framework}: {', '.join(templates[framework])}" - ) - else: - console.print( - f"Available frameworks: {', '.join(templates.keys())}" - ) - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Template error:[/red] {e}") - raise click.ClickException("Template operation failed") - - -@click.command() -@click.argument( - "path", - type=click.Path( - exists=True, - file_okay=False, - dir_okay=True, - readable=True, - resolve_path=True, - path_type=Path, - ), - default=".", -) -def upload(path: Path): - """Upload agent to remote server""" - - try: - from runagent.cli.branding import print_header - print_header("Upload Agent") - - sdk = RunAgent() - - # Check authentication - if not sdk.is_configured(): - console.print( - "❌ [red]Not authenticated.[/red] Run [cyan]'runagent setup --api-key '[/cyan] first" - ) - raise click.ClickException("Authentication required") - - # Validate folder - if not Path(path).exists(): - raise click.ClickException(f"Folder not found: {path}") - - console.print(f"📤 [bold]Uploading agent...[/bold]") - console.print(f"📁 Source: [cyan]{path}[/cyan]") - - # Upload agent (framework auto-detected) - result = sdk.upload_agent(folder=path) - - if result.get("success"): - agent_id = result["agent_id"] - console.print(f"\n✅ [green]Upload successful![/green]") - console.print(f"🆔 Agent ID: [bold magenta]{agent_id}[/bold magenta]") - console.print(f"\n💡 [bold]Next step:[/bold]") - console.print(f"[cyan]runagent start --id {agent_id}[/cyan]") - else: - console.print(f"❌ [red]Upload failed:[/red] {format_error_message(result.get('error'))}") - import sys - sys.exit(1) - - except AuthenticationError as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Authentication error:[/red] {e}") - import sys - sys.exit(1) - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Upload error:[/red] {e}") - import sys - sys.exit(1) - - -@click.command() -@click.option("--id", "agent_id", required=True, help="Agent ID to start") -@click.option("--config", help="JSON configuration for deployment") -def start(agent_id, config): - """Start an uploaded agent on remote server""" - - try: - from runagent.cli.branding import print_header - print_header("Start Remote Agent") - - sdk = RunAgent() - - # Check authentication - if not sdk.is_configured(): - console.print( - "❌ [red]Not authenticated.[/red] Run [cyan]'runagent setup --api-key '[/cyan] first" - ) - raise click.ClickException("Authentication required") - - # Parse config - config_dict = {} - if config: - try: - config_dict = json.loads(config) - except json.JSONDecodeError: - if os.getenv('DISABLE_TRY_CATCH'): - raise - raise click.ClickException("Invalid JSON in config parameter") - - console.print(f"🚀 [bold]Starting agent...[/bold]") - console.print(f"🆔 Agent ID: [magenta]{agent_id}[/magenta]") - - # Start agent - result = sdk.start_remote_agent(agent_id, config_dict) - - if result.get("success"): - console.print(f"\n✅ [green]Agent started successfully![/green]") - console.print(f"🌐 Endpoint: [link]{result.get('endpoint')}[/link]") - else: - console.print(f"❌ [red]Start failed:[/red] {format_error_message(result.get('error'))}") - import sys - sys.exit(1) - - except AuthenticationError as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Authentication error:[/red] {e}") - import sys - sys.exit(1) - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Start error:[/red] {e}") - import sys - sys.exit(1) - - -@click.command() -@click.argument( - "path", - type=click.Path( - exists=True, - file_okay=False, - dir_okay=True, - readable=True, - resolve_path=True, - path_type=Path, - ), - default=".", -) -def deploy(path: Path): - """Deploy agent (upload + start) to remote server""" - - try: - from runagent.cli.branding import print_header - print_header("Deploy Agent") - - sdk = RunAgent() - - # Check authentication - if not sdk.is_configured(): - console.print( - "❌ [red]Not authenticated.[/red] Run [cyan]'runagent setup --api-key '[/cyan] first" - ) - raise click.ClickException("Authentication required") - - # Validate folder - if not Path(path).exists(): - raise click.ClickException(f"Folder not found: {path}") - - console.print(f"🎯 [bold]Deploying agent (upload + start)...[/bold]") - console.print(f"📁 Source: [cyan]{path}[/cyan]") - - # Deploy agent (framework auto-detected) - result = sdk.deploy_remote(folder=str(path)) - - if result.get("success"): - console.print(f"\n✅ [green]Deployment successful![/green]") - console.print(f"🆔 Agent ID: [bold magenta]{result.get('agent_id')}[/bold magenta]") - console.print(f"🌐 Endpoint: [link]{result.get('endpoint')}[/link]") - else: - console.print(f"❌ [red]Deployment failed:[/red] {format_error_message(result.get('error'))}") - import sys - sys.exit(1) - - except AuthenticationError as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Authentication error:[/red] {e}") - import sys - sys.exit(1) - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Deployment error:[/red] {e}") - import sys - sys.exit(1) - - - -@click.command() -@click.option("--port", type=int, help="Preferred port (auto-allocated if unavailable)") -@click.option("--host", default="127.0.0.1", help="Host to bind server to") -@click.option("--debug", is_flag=True, help="Run server in debug mode") -@click.option("--replace", help="Replace existing agent with this agent ID") -@click.option("--no-animation", is_flag=True, help="Skip startup animation") -@click.option("--animation-style", - type=click.Choice(["field", "ascii", "minimal", "quick"]), - default="field", - help="Animation style") -@click.argument( - "path", - type=click.Path( - exists=True, - file_okay=False, - dir_okay=True, - readable=True, - resolve_path=True, - path_type=Path, - ), - default=".", -) -def serve(port, host, debug, replace, no_animation, animation_style, path): - """Start local FastAPI server with subtle robotic runner animation""" - - try: - from runagent.cli.branding import print_header - print_header("Serve Agent Locally") - - # Show subtle startup animation - if not no_animation: - console.print("\n") - - if animation_style == "quick": - show_quick_runner(duration=1.5) - else: - show_subtle_robotic_runner(duration=2.0, style=animation_style) - - sdk = RunAgent() - - # Handle replace operation - if replace: - console.print(f"🔄 [yellow]Replacing agent: {replace}[/yellow]") - - # Check if the agent to replace exists - existing_agent = sdk.db_service.get_agent(replace) - if not existing_agent: - console.print(f"⚠️ [yellow]Agent {replace} not found in database[/yellow]") - console.print("💡 Available agents:") - agents = sdk.db_service.list_agents() - for agent in agents[:5]: # Show first 5 - console.print(f" • {agent['agent_id']} ({agent['framework']})") - raise click.ClickException("Agent to replace not found") - - # Generate new agent ID - import uuid - new_agent_id = str(uuid.uuid4()) - - # Get currently used ports to avoid conflicts - used_ports = [] - all_agents = sdk.db_service.list_agents() - for agent in all_agents: - if agent.get('port') and agent['agent_id'] != replace: # Exclude the agent being replaced - used_ports.append(agent['port']) - - # Allocate host and port - from runagent.utils.port import PortManager - if port and PortManager.is_port_available(host, port): - allocated_host = host - allocated_port = port - console.print(f"🎯 Using specified address: [blue]{allocated_host}:{allocated_port}[/blue]") - else: - allocated_host, allocated_port = PortManager.allocate_unique_address(used_ports) - console.print(f"🔌 Auto-allocated address: [blue]{allocated_host}:{allocated_port}[/blue]") - - # Use the existing replace_agent method with proper port allocation - result = sdk.db_service.replace_agent( - old_agent_id=replace, - new_agent_id=new_agent_id, - agent_path=str(path), - host=allocated_host, - port=allocated_port, # Ensure port is not None - framework=detect_framework(path).value, - ) - - if not result["success"]: - raise click.ClickException(f"Failed to replace agent: {result['error']}") - - console.print(f"✅ [green]Agent replaced successfully![/green]") - console.print(f"🆔 New Agent ID: [bold magenta]{new_agent_id}[/bold magenta]") - console.print(f"🔌 Address: [bold blue]{allocated_host}:{allocated_port}[/bold blue]") - - # Create server with the new agent ID and allocated host/port - from runagent.sdk.db import DBService - db_service = DBService() - - server = LocalServer( - db_service=db_service, - agent_id=new_agent_id, - agent_path=path, - port=allocated_port, - host=allocated_host, - ) - else: - # Normal operation - check capacity if not replacing - capacity_info = sdk.db_service.get_database_capacity_info() - if capacity_info["is_full"] and not replace: - console.print("❌ [red]Database is full![/red]") - oldest_agent = capacity_info.get("oldest_agent", {}) - if oldest_agent: - console.print(f"💡 [yellow]Suggested commands:[/yellow]") - console.print(f" Replace: [cyan]runagent serve {path} --replace {oldest_agent.get('agent_id', '')}[/cyan]") - console.print(f" Delete: [cyan]runagent delete --id {oldest_agent.get('agent_id', '')}[/cyan]") - raise click.ClickException("Database at capacity. Use --replace or use 'runagent delete' to free space.") - - console.print("⚡ [bold]Starting local server with auto port allocation...[/bold]") - - # Use the existing LocalServer.from_path method - server = LocalServer.from_path(path, port=port, host=host) - - # Common server startup code - allocated_host = server.host - allocated_port = server.port - - console.print(f"🌐 URL: [bold blue]http://{allocated_host}:{allocated_port}[/bold blue]") - console.print(f"📖 Docs: [link]http://{allocated_host}:{allocated_port}/docs[/link]") - - try: - - sync_service = get_middleware_sync() - sync_enabled = sync_service.is_sync_enabled() - api_key_set = bool(Config.get_api_key()) - - console.print(f"\n🔄 [bold]Middleware Sync Status:[/bold]") - if sync_enabled: - console.print(f" Status: [green]✅ ENABLED[/green]") - console.print(f" 📊 Local invocations will sync to middleware") - - # Test connection - try: - test_result = sync_service.test_connection() - if test_result.get("success"): - console.print(f" Connection: [green]✅ Connected to middleware[/green]") - else: - console.print(f" Connection: [red]❌ Failed to connect: {test_result.get('error', 'Unknown error')}[/red]") - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f" Connection: [red]❌ Connection test failed: {e}[/red]") - else: - console.print(f" Status: [yellow]⚠️ DISABLED[/yellow]") - if not api_key_set: - console.print(f" Reason: [yellow]API key not configured[/yellow]") - console.print(f" 💡 Setup: [cyan]runagent setup --api-key [/cyan]") - else: - user_disabled = not Config.get_user_config().get("local_sync_enabled", True) - if user_disabled: - console.print(f" Reason: [yellow]Disabled by user[/yellow]") - console.print(f" 💡 Enable: [cyan]runagent local-sync --enable[/cyan]") - console.print(f" 📊 Local invocations will only be stored locally") - - except Exception as e: - console.print(f"[dim]Note: Could not check middleware sync status: {e}[/dim]") - - # Start server (this will block) - server.start(debug=debug) - - except KeyboardInterrupt: - console.print("\n🛑 [yellow]Server stopped by user[/yellow]") - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Server error:[/red] {e}") - raise click.ClickException("Server failed to start") - - -@click.command( - context_settings=dict( - ignore_unknown_options=True, - allow_extra_args=True, - )) -@click.option("--id", "agent_id", help="Agent ID to run") -@click.option("--host", help="Host to connect to (use with --port)") -@click.option("--port", type=int, help="Port to connect to (use with --host)") -@click.option( - "--input", - "input_file", - type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True, path_type=Path), - help="Path to input JSON file" -) -@click.option("--local", is_flag=True, help="Run agent locally") -@click.option("--tag", required=True, help="Entrypoint tag to be used") -# @click.option("--generic-stream", is_flag=True, help="Use generic streaming mode") -@click.option("--timeout", type=int, help="Timeout in seconds") -@click.pass_context -def run(ctx, agent_id, host, port, input_file, local, tag, timeout): - """ - Run an agent with flexible configuration options - - Examples: - # Using agent ID with extra params - runagent run --agent-id my-agent --param1=value1 --param2=value2 - - # Using host/port with input file - runagent run --host localhost --port 8080 --input config.json - - # local agent - runagent run --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal --local --message=something - - # remote agent - runagent run --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal --message=something - """ - from runagent.cli.branding import print_header - print_header("Run Agent") - - # ============================================ - # VALIDATION 1: Either agent-id OR host/port - # ============================================ - agent_id_provided = agent_id is not None - host_port_provided = host is not None or port is not None - - if agent_id_provided and host_port_provided: - raise click.UsageError( - "Cannot specify both --agent-id and --host/--port. " - "Choose one approach." - ) - - if not agent_id_provided and not host_port_provided: - raise click.UsageError( - "Must specify either --agent-id or both --host and --port." - ) - - # If using host/port, both must be provided - if host_port_provided and (host is None or port is None): - raise click.UsageError( - "When using host/port, both --host and --port must be specified." - ) - - # ============================================ - # # VALIDATION 2: tag validation - # # ============================================ - if tag.endswith("_stream"): - console.print(f"❌ [bold red]Execution failed:[/bold red] Cannot use streaming Entrypoint tag `{tag}` through non-streaming endpoint.") - return - - - # ============================================ - # VALIDATION 3: Input file OR extra params - # ============================================ - - # Parse extra parameters from ctx.args - extra_params = {} - invalid_args = [] - - for arg in ctx.args: - if arg.startswith('--') and '=' in arg: - # Valid format: --key=value - key, value = arg[2:].split('=', 1) - extra_params[key] = value - else: - # Invalid format - invalid_args.append(arg) - - if invalid_args: - raise click.UsageError( - f"Invalid extra arguments: {invalid_args}. " - "Extra parameters must be in --key=value format." - ) - - # Check mutual exclusivity of input file and extra params - if input_file and extra_params: - raise click.UsageError( - "Cannot specify both --input file and extra parameters. " - "Use either --input config.json OR --param1=value1 --param2=value2" - ) - - if not input_file and not extra_params: - console.print("⚠️ No input file or extra parameters provided. Running with defaults.") - - # ============================================ - # DISPLAY CONFIGURATION - # ============================================ - - console.print("🚀 RunAgent Configuration:") - - # Connection info - if agent_id: - console.print(f" Agent ID: [cyan]{agent_id}[/cyan]") - else: - console.print(f" Host: [cyan]{host}[/cyan]") - console.print(f" Port: [cyan]{port}[/cyan]") - - # Tag - # mode = "Generic Streaming" if generic_stream else "Generic" - console.print(f" Tag: [magenta]{tag}[/magenta]") - - # Local execution - if local: - console.print(" Local: [green]Yes[/green]") - else: - console.print(" Local: [red]No(Deployed to RunAgent Cloud)[/red]") - - # Timeout - if timeout: - console.print(f" Timeout: [yellow]{timeout}s[/yellow]") - - # Input configuration - if input_file: - console.print(f" Input file: [blue]{input_file}[/blue]") - # Load and validate JSON file here - try: - import json - with open(input_file, 'r') as f: - input_params = json.load(f) - console.print(f" Config keys: [dim]{list(input_params.keys())}[/dim]") - except json.JSONDecodeError: - if os.getenv('DISABLE_TRY_CATCH'): - raise - raise click.ClickException(f"Invalid JSON in input file: {input_file}") - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - raise click.ClickException(f"Error reading input file: {e}") - - elif extra_params: - console.print(" Extra parameters:") - for key, value in extra_params.items(): - # Try to parse value as JSON for complex types - # TODO: Will add type inference later - console.print(f" --{key} = [green]{value}[/green]") - input_params = extra_params - - else: - input_params = {} - - # ============================================ - # EXECUTION LOGIC - # ============================================ - - try: - ra_client = RunAgentClient( - agent_id=agent_id, - local=local, - host=host, - port=port, - entrypoint_tag=tag - ) - - if tag.endswith("_stream"): - for item in ra_client.run(**input_params): - console.print(item) - else: - result = ra_client.run(**input_params) - console.print(result) - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - # Display error with red ❌ symbol - console.print(f"❌ [bold red]Execution failed:[/bold red] {e}") - # Exit with error code 1 instead of raising ClickException to avoid duplicate message - import sys - sys.exit(1) - - -@click.command( - context_settings=dict( - ignore_unknown_options=True, - allow_extra_args=True, - )) -@click.option("--id", "agent_id", help="Agent ID to run") -@click.option("--host", help="Host to connect to (use with --port)") -@click.option("--port", type=int, help="Port to connect to (use with --host)") -@click.option( - "--input", - "input_file", - type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True, path_type=Path), - help="Path to input JSON file" -) -@click.option("--local", is_flag=True, help="Run agent locally") -@click.option("--tag", required=True, help="Entrypoint tag to be used") -@click.option("--timeout", type=int, help="Timeout in seconds") -@click.pass_context -def run_stream(ctx, agent_id, host, port, input_file, local, tag, timeout): - """ - Stream agent execution results in real-time. - - This command connects to an agent via WebSocket and streams the execution results - as they become available, providing real-time feedback. - - Examples: - # Local streaming agent - runagent run-stream --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal_stream --local --message=something - - # Remote streaming agent - runagent run-stream --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal_stream --message=something - - # With input file - runagent run-stream --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal_stream --local --input config.json - """ - from runagent.cli.branding import print_header - print_header("Stream Agent Output") - - # ============================================ - # PARAMETER PARSING - # ============================================ - - extra_params = {} - for item in ctx.args: - if '=' in item: - key, value = item.split('=', 1) - # Remove leading dashes - key = key.lstrip('-') - extra_params[key] = value - else: - # Handle boolean flags - key = item.lstrip('-') - extra_params[key] = True - - # ============================================ - # VALIDATION - # ============================================ - - # VALIDATION 1: Agent ID or host/port required - if not agent_id and not (host and port): - console.print(f"❌ [bold red]Execution failed:[/bold red] Either --id or both --host and --port are required") - import sys - sys.exit(1) - - # VALIDATION 2: tag validation for streaming - if not tag.endswith("_stream"): - console.print(f"❌ [bold red]Execution failed:[/bold red] Streaming command requires entrypoint tag ending with '_stream'. Got: {tag}") - import sys - sys.exit(1) - - # ============================================ - # DISPLAY CONFIGURATION - # ============================================ - - console.print("🚀 RunAgent Streaming Configuration:") - - # Connection info - if agent_id: - console.print(f" Agent ID: [cyan]{agent_id}[/cyan]") - else: - console.print(f" Host: [cyan]{host}[/cyan]") - console.print(f" Port: [cyan]{port}[/cyan]") - - # Tag - console.print(f" Tag: [magenta]{tag}[/magenta]") - - # Local execution - if local: - console.print(" Local: [green]Yes[/green]") - else: - console.print(" Local: [red]No (Deployed to RunAgent Cloud)[/red]") - - # Timeout - if timeout: - console.print(f" Timeout: [yellow]{timeout}s[/yellow]") - - # Input configuration - if input_file: - console.print(f" Input file: [blue]{input_file}[/blue]") - # Load and validate JSON file here - try: - import json - with open(input_file, 'r') as f: - input_params = json.load(f) - console.print(f" Config keys: [dim]{list(input_params.keys())}[/dim]") - except json.JSONDecodeError: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [bold red]Execution failed:[/bold red] Invalid JSON in input file: {input_file}") - import sys - sys.exit(1) - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [bold red]Execution failed:[/bold red] Error reading input file: {e}") - import sys - sys.exit(1) - - elif extra_params: - console.print(" Extra parameters:") - for key, value in extra_params.items(): - console.print(f" --{key} = {value}") - input_params = extra_params - - else: - input_params = {} - - # ============================================ - # EXECUTION LOGIC - # ============================================ - - try: - ra_client = RunAgentClient( - agent_id=agent_id, - local=local, - host=host, - port=port, - entrypoint_tag=tag - ) - - console.print(f"\n🔄 [bold]Starting streaming execution...[/bold]") - console.print(f"📡 [dim]Connected to agent via WebSocket[/dim]") - console.print(f"📤 [dim]Streaming results:[/dim]\n") - - # Stream the results - for chunk in ra_client.run_stream(**input_params): - console.print(chunk) - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - # Display error with red ❌ symbol - console.print(f"❌ [bold red]Streaming failed:[/bold red] {e}") - # Exit with error code 1 instead of raising ClickException to avoid duplicate message - import sys - sys.exit(1) - - -@click.group() -def db(): - """Database management and monitoring commands""" - pass - -@db.command() -@click.option("--cleanup-days", type=int, help="Clean up records older than N days") -@click.option("--agent-id", help="Show detailed info for specific agent") -@click.option("--capacity", is_flag=True, help="Show detailed capacity information") -def status(cleanup_days, agent_id, capacity): - """Show local database status and statistics (ENHANCED with invocation stats)""" - try: - sdk = RunAgent() - - if capacity: - # Show detailed capacity info - capacity_info = sdk.db_service.get_database_capacity_info() - - console.print(f"\n📊 [bold]Database Capacity Information[/bold]") - console.print( - f"Current: [cyan]{capacity_info.get('current_count', 0)}/5[/cyan] agents" - ) - console.print( - f"Remaining slots: [green]{capacity_info.get('remaining_slots', 0)}[/green]" - ) - - status = "🔴 FULL" if capacity_info.get("is_full") else "🟢 Available" - console.print(f"Status: {status}") - - agents = capacity_info.get("agents", []) - if agents: - console.print(f"\n📋 [bold]Deployed Agents (by age):[/bold]") - - # Create table for agents - table = Table(title="Agents by Deployment Age") - table.add_column("#", style="dim", width=3) - table.add_column("Status", width=6) - table.add_column("Agent ID", style="magenta", width=36) - table.add_column("Framework", style="green", width=12) - table.add_column("Deployed At", style="cyan", width=20) - table.add_column("Age Note", style="yellow", width=10) - - for i, agent in enumerate(agents): - status_icon = ( - "🟢" - if agent["status"] == "deployed" - else "🔴" if agent["status"] == "error" else "🟡" - ) - age_label = ( - "oldest" - if i == 0 - else "newest" if i == len(agents) - 1 else "" - ) - - table.add_row( - str(i+1), - status_icon, - agent['agent_id'], - agent['framework'], - agent['deployed_at'] or "Unknown", - age_label - ) - - console.print(table) - - if capacity_info.get("is_full"): - oldest = capacity_info.get("oldest_agent", {}) - console.print( - f"\n💡 [yellow]To deploy new agent, replace oldest:[/yellow]" - ) - console.print( - f" [cyan]runagent serve --folder --replace {oldest.get('agent_id', '')}[/cyan]" - ) - console.print( - f" [cyan]runagent delete --id {oldest.get('agent_id', '')}[/cyan]" - ) - - return - - if agent_id: - # Show agent-specific details including invocations - result = sdk.get_agent_info(agent_id, local=True) - if result.get("success"): - agent_data = result["agent_info"] - console.print(f"\n🔍 [bold]Agent Details: {agent_id}[/bold]") - console.print(f"Framework: [green]{agent_data.get('framework')}[/green]") - console.print(f"Status: [yellow]{agent_data.get('status')}[/yellow]") - console.print(f"Path: [blue]{agent_data.get('deployment_path')}[/blue]") - - # Show agent-specific invocation stats - agent_inv_stats = sdk.db_service.get_invocation_stats(agent_id=agent_id) - console.print(f"\n📊 [bold]Invocation Statistics for {agent_id}[/bold]") - console.print(f"Total: [cyan]{agent_inv_stats.get('total_invocations', 0)}[/cyan]") - console.print(f"Success Rate: [blue]{agent_inv_stats.get('success_rate', 0)}%[/blue]") - - return - - # Show general database stats - stats = sdk.db_service.get_database_stats() - capacity_info = sdk.db_service.get_database_capacity_info() - - console.print("\n📊 [bold]Local Database Status[/bold]") - - current_count = capacity_info.get("current_count", 0) - is_full = capacity_info.get("is_full", False) - status = "FULL" if is_full else "OK" - console.print( - f"Agent Capacity: [cyan]{current_count}/5[/cyan] agents ([red]{status}[/red])" - if is_full - else f"Agent Capacity: [cyan]{current_count}/5[/cyan] agents ([green]{status}[/green])" - ) - - console.print(f"Total Agent Runs: [cyan]{stats.get('total_runs', 0)}[/cyan]") - console.print( - f"Database Size: [yellow]{stats.get('database_size_mb', 0)} MB[/yellow]" - ) - - # NEW: Show invocation statistics - overall_stats = sdk.db_service.get_invocation_stats() - - console.print(f"\n📊 [bold]Invocation Statistics[/bold]") - console.print(f"Total Invocations: [cyan]{overall_stats.get('total_invocations', 0)}[/cyan]") - console.print(f"Completed: [green]{overall_stats.get('completed_invocations', 0)}[/green]") - console.print(f"Failed: [red]{overall_stats.get('failed_invocations', 0)}[/red]") - console.print(f"Pending: [yellow]{overall_stats.get('pending_invocations', 0)}[/yellow]") - console.print(f"Success Rate: [blue]{overall_stats.get('success_rate', 0)}%[/blue]") - - if overall_stats.get('avg_execution_time_ms'): - avg_time = overall_stats['avg_execution_time_ms'] - if avg_time < 1000: - time_display = f"{avg_time:.1f}ms" - else: - time_display = f"{avg_time/1000:.2f}s" - console.print(f"Average Execution Time: [cyan]{time_display}[/cyan]") - - # Show agent status breakdown - status_counts = stats.get("agent_status_counts", {}) - if status_counts: - console.print("\n📈 [bold]Agent Status Breakdown:[/bold]") - for status, count in status_counts.items(): - console.print(f" [cyan]{status}[/cyan]: {count}") - - # List agents in table format - agents = sdk.db_service.list_agents() - - if agents: - console.print(f"\n📋 [bold]Deployed Agents:[/bold]") - - # Create table for better formatting - table = Table(title=f"Local Agents ({len(agents)} total)") - table.add_column("Status", width=8) - table.add_column("Files", width=6) - table.add_column("Agent ID", style="magenta", width=36) - table.add_column("Framework", style="green", width=12) - table.add_column("Host:Port", style="blue", width=15) - table.add_column("Runs", style="cyan", width=6) - table.add_column("Status", style="yellow", width=10) - - for agent in agents: - status_icon = ( - "🟢" - if agent["status"] == "deployed" - else "🔴" if agent["status"] == "error" else "🟡" - ) - exists_icon = "📁" if agent.get("exists") else "❌" - - table.add_row( - status_icon, - exists_icon, - agent['agent_id'], - agent['framework'], - f"{agent.get('host', 'N/A')}:{agent.get('port', 'N/A')}", - str(agent.get('run_count', 0)), - agent['status'] - ) - - console.print(table) - - # Show recent invocations - recent_invocations = sdk.db_service.list_invocations(limit=5) - if recent_invocations: - console.print(f"\n📋 [bold]Recent Invocations:[/bold]") - for inv in recent_invocations: - status_color = "green" if inv['status'] == "completed" else "red" if inv['status'] == "failed" else "yellow" - console.print(f" • {inv['invocation_id'][:12]}... [{status_color}]{inv['status']}[/{status_color}] ({inv.get('entrypoint_tag', 'N/A')})") - - console.print(f"\n💡 [bold]Database Commands:[/bold]") - console.print(f" • [cyan]runagent db invocations[/cyan] - Show all invocations") - console.print(f" • [cyan]runagent db invocation [/cyan] - Show specific invocation") - console.print(f" • [cyan]runagent db cleanup[/cyan] - Clean up old records") - console.print(f" • [cyan]runagent db status --agent-id [/cyan] - Agent-specific info") - console.print(f" • [cyan]runagent db status --capacity[/cyan] - Capacity management info") - - # Cleanup if requested (keep existing logic) - if cleanup_days: - console.print(f"\n🧹 Cleaning up records older than {cleanup_days} days...") - cleanup_result = sdk.cleanup_local_database(cleanup_days) - if cleanup_result.get("success"): - console.print(f"✅ [green]{cleanup_result.get('message')}[/green]") - else: - console.print(f"❌ [red]{cleanup_result.get('error')}[/red]") - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Database status error:[/red] {e}") - raise click.ClickException("Failed to get database status") - - -@db.command() -@click.option("--agent-id", help="Filter by specific agent ID") -@click.option("--status", type=click.Choice(["pending", "completed", "failed"]), help="Filter by status") -@click.option("--limit", type=int, default=20, help="Maximum number of invocations to show") -@click.option("--format", "output_format", type=click.Choice(["table", "json"]), default="table", help="Output format") -def invocations(agent_id, status, limit, output_format): - """Show agent invocation history and statistics""" - try: - sdk = RunAgent() - - # Get invocations - invocations_list = sdk.db_service.list_invocations( - agent_id=agent_id, - status=status, - limit=limit - ) - - if output_format == "json": - console.print(json.dumps(invocations_list, indent=2)) - return - - if not invocations_list: - console.print("📭 [yellow]No invocations found[/yellow]") - if agent_id: - console.print(f" • Agent ID: {agent_id}") - if status: - console.print(f" • Status: {status}") - return - - # Show statistics first - if agent_id: - stats = sdk.db_service.get_invocation_stats(agent_id=agent_id) - else: - stats = sdk.db_service.get_invocation_stats() - - console.print(f"\n📊 [bold]Invocation Statistics[/bold]") - if agent_id: - console.print(f" Agent ID: [magenta]{agent_id}[/magenta]") - console.print(f" Total: [cyan]{stats.get('total_invocations', 0)}[/cyan]") - console.print(f" Completed: [green]{stats.get('completed_invocations', 0)}[/green]") - console.print(f" Failed: [red]{stats.get('failed_invocations', 0)}[/red]") - console.print(f" Pending: [yellow]{stats.get('pending_invocations', 0)}[/yellow]") - console.print(f" Success Rate: [blue]{stats.get('success_rate', 0)}%[/blue]") - if stats.get('avg_execution_time_ms'): - console.print(f" Avg Execution Time: [cyan]{stats.get('avg_execution_time_ms', 0):.1f}ms[/cyan]") - - # Show invocations table - console.print(f"\n📋 [bold]Recent Invocations (showing {len(invocations_list)} of {limit} max)[/bold]") - - table = Table(title="Agent Invocations") - table.add_column("Invocation", style="dim", width=12) - table.add_column("Agent", style="magenta", width=12) - table.add_column("Entrypoint", style="green", width=12) - table.add_column("Status", width=10) - table.add_column("Duration", style="cyan", width=10) - table.add_column("Started", style="dim", width=16) - table.add_column("SDK", style="yellow", width=10) - - for inv in invocations_list: - # Status with color - status_text = inv['status'] - if status_text == "completed": - status_display = f"[green]{status_text}[/green]" - elif status_text == "failed": - status_display = f"[red]{status_text}[/red]" - else: - status_display = f"[yellow]{status_text}[/yellow]" - - # Duration calculation - duration_display = "N/A" - if inv.get('execution_time_ms'): - if inv['execution_time_ms'] < 1000: - duration_display = f"{inv['execution_time_ms']:.0f}ms" - else: - duration_display = f"{inv['execution_time_ms']/1000:.1f}s" - - # Format timestamp - started_display = "N/A" - if inv.get('request_timestamp'): - try: - from datetime import datetime - dt = datetime.fromisoformat(inv['request_timestamp'].replace('Z', '+00:00')) - started_display = dt.strftime('%m-%d %H:%M:%S') - except: - started_display = inv['request_timestamp'][:16] - - table.add_row( - inv['invocation_id'][:8] + "...", - inv['agent_id'][:8] + "...", - inv.get('entrypoint_tag', 'N/A')[:12], - status_display, - duration_display, - started_display, - inv.get('sdk_type', 'unknown')[:10] - ) - - console.print(table) - - # Show usage tips - console.print(f"\n💡 [dim]Usage tips:[/dim]") - console.print(f" • View specific invocation: [cyan]runagent db invocation [/cyan]") - console.print(f" • Filter by agent: [cyan]runagent db invocations --agent-id [/cyan]") - console.print(f" • Filter by status: [cyan]runagent db invocations --status completed[/cyan]") - console.print(f" • JSON output: [cyan]runagent db invocations --format json[/cyan]") - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Error getting invocations:[/red] {e}") - raise click.ClickException("Failed to get invocations") - - -@db.command() -@click.argument("invocation_id") -@click.option("--format", "output_format", type=click.Choice(["table", "json"]), default="table", help="Output format") -def invocation(invocation_id, output_format): - """Show detailed information about a specific invocation""" - try: - sdk = RunAgent() - - invocation = sdk.db_service.get_invocation(invocation_id) - - if not invocation: - console.print(f"❌ [red]Invocation {invocation_id} not found[/red]") - - # Show available invocations - console.print("\n💡 Recent invocations:") - recent = sdk.db_service.list_invocations(limit=5) - for inv in recent: - console.print(f" • {inv['invocation_id']} ({inv['status']})") - - raise click.ClickException("Invocation not found") - - if output_format == "json": - console.print(json.dumps(invocation, indent=2)) - return - - # Display detailed information - console.print(f"\n🔍 [bold]Invocation Details[/bold]") - console.print(f" Invocation ID: [bold magenta]{invocation['invocation_id']}[/bold magenta]") - console.print(f" Agent ID: [bold cyan]{invocation['agent_id']}[/bold cyan]") - console.print(f" Entrypoint: [green]{invocation.get('entrypoint_tag', 'N/A')}[/green]") - console.print(f" SDK Type: [yellow]{invocation.get('sdk_type', 'unknown')}[/yellow]") - - # Status with color - status = invocation['status'] - if status == "completed": - status_display = f"[green]{status}[/green]" - elif status == "failed": - status_display = f"[red]{status}[/red]" - else: - status_display = f"[yellow]{status}[/yellow]" - console.print(f" Status: {status_display}") - - # Timing information - console.print(f"\n⏱️ [bold]Timing Information[/bold]") - if invocation.get('request_timestamp'): - console.print(f" Started: [cyan]{invocation['request_timestamp']}[/cyan]") - if invocation.get('response_timestamp'): - console.print(f" Completed: [cyan]{invocation['response_timestamp']}[/cyan]") - if invocation.get('execution_time_ms'): - exec_time = invocation['execution_time_ms'] - if exec_time < 1000: - time_display = f"{exec_time:.1f}ms" - else: - time_display = f"{exec_time/1000:.2f}s" - console.print(f" Duration: [green]{time_display}[/green]") - - # Input data - console.print(f"\n📥 [bold]Input Data[/bold]") - if invocation.get('input_data'): - input_str = json.dumps(invocation['input_data'], indent=2) - if len(input_str) > 500: - console.print(f" [dim]{input_str[:500]}...\n (truncated - use --format json for full data)[/dim]") - else: - console.print(f" [dim]{input_str}[/dim]") - else: - console.print(" [dim]No input data[/dim]") - - # Output data or error - if invocation['status'] == 'failed' and invocation.get('error_detail'): - console.print(f"\n❌ [bold red]Error Details[/bold red]") - console.print(f" [red]{invocation['error_detail']}[/red]") - elif invocation.get('output_data'): - console.print(f"\n📤 [bold]Output Data[/bold]") - output_str = json.dumps(invocation['output_data'], indent=2) - if len(output_str) > 500: - console.print(f" [dim]{output_str[:500]}...\n (truncated - use --format json for full data)[/dim]") - else: - console.print(f" [dim]{output_str}[/dim]") - - # Client info - if invocation.get('client_info'): - console.print(f"\n🔧 [bold]Client Information[/bold]") - client_str = json.dumps(invocation['client_info'], indent=2) - console.print(f" [dim]{client_str}[/dim]") - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Error getting invocation details:[/red] {e}") - raise click.ClickException("Failed to get invocation details") - - -@db.command() -@click.option("--days", type=int, default=30, help="Clean up invocations older than N days") -@click.option("--agent-runs", is_flag=True, help="Also clean up old agent_runs records") -@click.option("--yes", is_flag=True, help="Skip confirmation") -def cleanup(days, agent_runs, yes): - """Clean up old database records""" - try: - sdk = RunAgent() - - # Get count of records to be cleaned - all_invocations = sdk.db_service.list_invocations(limit=1000) - - # Filter by date (simple approximation for preview) - from datetime import datetime, timedelta - cutoff_date = datetime.now() - timedelta(days=days) - - old_invocations_count = len([ - inv for inv in all_invocations - if inv.get('request_timestamp') and - datetime.fromisoformat(inv['request_timestamp'].replace('Z', '+00:00')) < cutoff_date - ]) - - console.print(f"🧹 [yellow]Cleanup Preview (older than {days} days):[/yellow]") - console.print(f" • Invocations: {old_invocations_count} records") - - if agent_runs: - console.print(f" • Agent runs: Will be cleaned too") - - if old_invocations_count == 0: - console.print(f"✅ [green]No records found older than {days} days[/green]") - return - - if not yes: - if not click.confirm(f"⚠️ This will permanently delete {old_invocations_count} invocation records. Continue?"): - console.print("Cleanup cancelled.") - return - - # Perform cleanup - deleted_invocations = sdk.db_service.cleanup_old_invocations(days_old=days) - - console.print(f"✅ [green]Cleaned up {deleted_invocations} old invocation records[/green]") - - if agent_runs: - deleted_runs = sdk.cleanup_local_database(days) - if deleted_runs.get("success"): - console.print(f"✅ [green]Also cleaned up old agent runs[/green]") - - # Show updated stats - stats = sdk.db_service.get_invocation_stats() - console.print(f"📊 Remaining invocations: [cyan]{stats.get('total_invocations', 0)}[/cyan]") - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Error cleaning up records:[/red] {e}") - raise click.ClickException("Cleanup failed") - - -# local-sync command removed - sync settings now managed via 'runagent config' -# Use: runagent config > Select "🔄 Sync Settings" - - -# Add this simplified logs command to the db group in runagent/cli/commands.py - -@db.command() -@click.option("--agent-id", help="Filter by specific agent ID") -@click.option("--limit", type=int, default=100, help="Maximum number of logs to show") -@click.option("--format", "output_format", type=click.Choice(["table", "json"]), default="table", help="Output format") -def logs(agent_id, limit, output_format): - """Show all agent logs (no filtering)""" - try: - sdk = RunAgent() - - if agent_id: - # Show logs for specific agent - logs = sdk.db_service.get_agent_logs(agent_id=agent_id, limit=limit) - - if not logs: - console.print("📭 [yellow]No logs found[/yellow]") - console.print(f" • Agent ID: {agent_id}") - return - - if output_format == "json": - console.print(json.dumps(logs, indent=2)) - return - - console.print(f"\n📋 [bold]Agent Logs: {agent_id}[/bold]") - - table = Table(title=f"All Agent Logs (showing {len(logs)} entries)") - table.add_column("Time", style="dim", width=16) - table.add_column("Level", width=8) - table.add_column("Message", style="white", width=80) - table.add_column("Execution", style="cyan", width=12) - - for log in logs: - # Format timestamp - time_str = "N/A" - if log.get('created_at'): - try: - from datetime import datetime - dt = datetime.fromisoformat(log['created_at']) - time_str = dt.strftime('%m-%d %H:%M:%S') - except: - time_str = log['created_at'][:16] - - # Color code log levels - level = log.get('log_level', 'INFO') - if level == 'ERROR' or level == 'CRITICAL': - level_display = f"[red]{level}[/red]" - elif level == 'WARNING': - level_display = f"[yellow]{level}[/yellow]" - elif level == 'DEBUG': - level_display = f"[dim]{level}[/dim]" - else: - level_display = f"[green]{level}[/green]" - - # Don't truncate messages - show full log - message = log.get('message', '') - - # Show execution ID if available - exec_id = log.get('execution_id', '') - exec_display = exec_id[:8] + "..." if exec_id else "" - - table.add_row(time_str, level_display, message, exec_display) - - console.print(table) - - else: - # Show log summary for all agents - agents = sdk.db_service.list_agents() - - if not agents: - console.print("📭 [yellow]No agents found[/yellow]") - return - - console.print(f"\n📊 [bold]Agent Log Summary[/bold]") - - table = Table(title="Log Counts by Agent") - table.add_column("Agent ID", style="magenta", width=36) - table.add_column("Framework", style="green", width=12) - table.add_column("Total Logs", style="cyan", width=10) - table.add_column("Errors", style="red", width=8) - table.add_column("Last Log", style="dim", width=16) - - for agent in agents[:10]: # Show first 10 agents - agent_logs = sdk.db_service.get_agent_logs(agent['agent_id'], limit=1000) - error_logs = [log for log in agent_logs if log.get('log_level') in ['ERROR', 'CRITICAL']] - - last_log_time = "Never" - if agent_logs: - try: - from datetime import datetime - dt = datetime.fromisoformat(agent_logs[0]['created_at']) - last_log_time = dt.strftime('%m-%d %H:%M') - except: - last_log_time = "Recent" - - table.add_row( - agent['agent_id'], - agent['framework'], - str(len(agent_logs)), - str(len(error_logs)), - last_log_time - ) - - console.print(table) - - console.print(f"\n💡 [bold]Usage tips:[/bold]") - console.print(f" • View agent logs: [cyan]runagent db logs --agent-id [/cyan]") - console.print(f" • JSON output: [cyan]runagent db logs --agent-id --format json[/cyan]") - console.print(f" • More logs: [cyan]runagent db logs --agent-id --limit 500[/cyan]") - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Error getting logs:[/red] {e}") - raise click.ClickException("Failed to get logs") - - -@db.command() -@click.option("--days", type=int, default=7, help="Clean up logs older than N days") -@click.option("--yes", is_flag=True, help="Skip confirmation") -def cleanup_logs(days, yes): - """Clean up old agent logs""" - try: - sdk = RunAgent() - - if not yes: - if not click.confirm(f"⚠️ This will delete logs older than {days} days for ALL agents. Continue?"): - console.print("Cleanup cancelled.") - return - - deleted_count = sdk.db_service.cleanup_old_logs(days_old=days) - console.print(f"✅ [green]Cleaned up {deleted_count} old log entries[/green]") - - except Exception as e: - if os.getenv('DISABLE_TRY_CATCH'): - raise - console.print(f"❌ [red]Error cleaning up logs:[/red] {e}") - raise click.ClickException("Log cleanup failed") \ No newline at end of file diff --git a/runagent/cli/commands/config.py b/runagent/cli/commands/config.py new file mode 100644 index 0000000..70fcafc --- /dev/null +++ b/runagent/cli/commands/config.py @@ -0,0 +1,633 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +@click.group(invoke_without_command=True) +@click.option("--set-api-key", help="Set API key directly (e.g., runagent config --set-api-key YOUR_KEY)") +@click.option("--set-base-url", help="Set base URL directly (e.g., runagent config --set-base-url https://api.example.com)") +@click.pass_context +def config(ctx, set_api_key, set_base_url): + """ + Manage RunAgent configuration + + \b + Interactive mode (for humans): + $ runagent config + + \b + Direct flags (for scripts/agents): + $ runagent config --set-api-key YOUR_KEY + $ runagent config --set-base-url https://api.example.com + + \b + Subcommands: + $ runagent config status + $ runagent config reset + """ + + # Handle direct flag options + if set_api_key: + _set_api_key_direct(set_api_key) + return + + if set_base_url: + _set_base_url_direct(set_base_url) + return + + # If no subcommand and no flags, show interactive menu + if ctx.invoked_subcommand is None: + show_interactive_config_menu() + + +def _set_api_key_direct(api_key: str): + """Set API key directly (for --set-api-key flag) with validation""" + from rich.panel import Panel + from rich.status import Status + from runagent.constants import DEFAULT_BASE_URL + + if not api_key or not api_key.strip(): + console.print(Panel( + "[red]❌ API key cannot be empty[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Invalid API key") + + # Validate and fetch user info + try: + sdk = RunAgent() + base_url = Config.get_base_url() or DEFAULT_BASE_URL + + with Status("[bold cyan]Validating credentials...", spinner="dots"): + sdk.configure(api_key=api_key, base_url=base_url, save=True) + + # Get user info + user_config = Config.get_user_config() + + # Build success message + success_msg = ( + "[bold green]✅ API key updated successfully![/bold green]\n\n" + f"[dim]User:[/dim] [cyan]{user_config.get('user_email', 'N/A')}[/cyan]\n" + f"[dim]Tier:[/dim] [yellow]{user_config.get('user_tier', 'N/A')}[/yellow]" + ) + + # Add project if available + if user_config.get('active_project_name'): + success_msg += f"\n[dim]Project:[/dim] [green]{user_config.get('active_project_name')}[/green]" + + console.print(Panel( + success_msg, + title="[bold green]Success[/bold green]", + border_style="green" + )) + + except AuthenticationError as e: + console.print(Panel( + f"[red]❌ Authentication failed[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}\n\n" + "[yellow]Please check your API key and try again[/yellow]", + title="[bold red]Validation Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Authentication failed") + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(Panel( + f"[red]❌ Failed to save API key[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Failed to save configuration") + + +def _set_base_url_direct(base_url: str): + """Set base URL directly (for --set-base-url flag)""" + from rich.panel import Panel + + # Validate URL format + if not base_url.startswith(('http://', 'https://')): + base_url = f"https://{base_url}" + + success = Config.set_base_url(base_url) + + if success: + console.print(Panel( + f"[bold green]✅ Base URL updated successfully![/bold green]\n\n" + f"[dim]New URL:[/dim] [cyan]{base_url}[/cyan]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + else: + console.print(Panel( + "[red]❌ Failed to save base URL[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Failed to save configuration") + + +def show_interactive_config_menu(): + """Show interactive configuration menu""" + try: + from rich.panel import Panel + from runagent.cli.branding import print_header + import inquirer + + print_header("Configuration") + + questions = [ + inquirer.List( + 'config_option', + message="What would you like to configure?", + choices=[ + ('🔑 API Key', 'api_key'), + ('🌐 Base URL', 'base_url'), + ('📁 Active Project', 'project'), + ('🔄 Sync Settings', 'sync'), + ('📊 View Status', 'status'), + ('🔃 Reset Configuration', 'reset'), + ], + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Configuration cancelled.[/dim]") + return + + option = answers['config_option'] + + # Route to appropriate handler + if option == 'api_key': + _interactive_set_api_key() + elif option == 'base_url': + _interactive_set_base_url() + elif option == 'project': + _interactive_set_project() + elif option == 'sync': + _interactive_sync_settings() + elif option == 'status': + _show_config_status() + elif option == 'reset': + _interactive_reset_config() + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + + +def _interactive_set_api_key(): + """Interactive API key setup with validation""" + from rich.prompt import Prompt + from rich.panel import Panel + from rich.status import Status + from runagent.constants import DEFAULT_BASE_URL + + api_key = Prompt.ask("[cyan]Enter your API key[/cyan]", password=True) + + if not api_key or not api_key.strip(): + console.print(Panel( + "[red]❌ API key cannot be empty[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + # Validate and fetch user info + try: + sdk = RunAgent() + base_url = Config.get_base_url() or DEFAULT_BASE_URL + + with Status("[bold cyan]Validating credentials...", spinner="dots"): + sdk.configure(api_key=api_key, base_url=base_url, save=True) + + # Get user info + user_config = Config.get_user_config() + + # Build success message + success_msg = ( + "[bold green]✅ API key updated successfully![/bold green]\n\n" + f"[dim]User:[/dim] [cyan]{user_config.get('user_email', 'N/A')}[/cyan]\n" + f"[dim]Tier:[/dim] [yellow]{user_config.get('user_tier', 'N/A')}[/yellow]" + ) + + # Add project if available + if user_config.get('active_project_name'): + success_msg += f"\n[dim]Project:[/dim] [green]{user_config.get('active_project_name')}[/green]" + + console.print(Panel( + success_msg, + title="[bold green]Success[/bold green]", + border_style="green" + )) + + except AuthenticationError as e: + console.print(Panel( + f"[red]❌ Authentication failed[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}\n\n" + "[yellow]Please check your API key and try again[/yellow]", + title="[bold red]Validation Error[/bold red]", + border_style="red" + )) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(Panel( + f"[red]❌ Failed to save API key[/red]\n\n" + f"[dim]Error:[/dim] {str(e)}", + title="[bold red]Error[/bold red]", + border_style="red" + )) + + +def _interactive_set_base_url(): + """Interactive base URL setup""" + from rich.prompt import Prompt + from rich.panel import Panel + from runagent.constants import DEFAULT_BASE_URL + + console.print(f"[dim]Current: {Config.get_base_url()}[/dim]") + console.print(f"[dim]Default: {DEFAULT_BASE_URL}[/dim]\n") + + base_url = Prompt.ask( + "[cyan]Enter base URL[/cyan]", + default=DEFAULT_BASE_URL + ) + + if not base_url.startswith(('http://', 'https://')): + base_url = f"https://{base_url}" + + success = Config.set_base_url(base_url) + + if success: + console.print(Panel( + f"[bold green]✅ Base URL updated successfully![/bold green]\n\n" + f"[dim]New URL:[/dim] [cyan]{base_url}[/cyan]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + else: + console.print(Panel( + "[red]❌ Failed to save base URL[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + + +def _interactive_sync_settings(): + """Interactive sync settings configuration""" + try: + from rich.panel import Panel + import inquirer + + # Get current status + user_config = Config.get_user_config() + current_status = user_config.get('local_sync_enabled', True) + + # Show current status + if current_status: + status_text = "[green]Currently: ENABLED[/green]" + else: + status_text = "[red]Currently: DISABLED[/red]" + + console.print(f"\n📡 Middleware Sync {status_text}\n") + + # Ask what to do + questions = [ + inquirer.List( + 'sync_action', + message="Select sync preference", + choices=[ + ('✅ Enable Sync (sync local runs to middleware)', 'enable'), + ('❌ Disable Sync (local only)', 'disable'), + ], + default=('✅ Enable Sync (sync local runs to middleware)', 'enable') if current_status else ('❌ Disable Sync (local only)', 'disable'), + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Sync configuration cancelled.[/dim]") + return + + action = answers['sync_action'] + + # Set the preference + new_status = (action == 'enable') + Config.set_user_config('local_sync_enabled', new_status) + + if new_status: + console.print(Panel( + "[bold green]✅ Middleware sync enabled![/bold green]\n\n" + "[dim]Local agent runs will now sync to middleware.[/dim]\n" + "[dim]Requires valid API key.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + else: + console.print(Panel( + "[bold yellow]⚠️ Middleware sync disabled[/bold yellow]\n\n" + "[dim]Local agents will only store data locally.[/dim]\n" + "[dim]Your runs won't appear in the middleware dashboard.[/dim]", + title="[bold]Sync Disabled[/bold]", + border_style="yellow" + )) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + + +def _interactive_set_project(): + """Interactive project selection from API""" + try: + from rich.panel import Panel + from rich.status import Status + import inquirer + + # Get API key + api_key = Config.get_api_key() + if not api_key: + console.print(Panel( + "[red]❌ No API key configured[/red]\n\n" + "[dim]Run 'runagent setup' first[/dim]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + # Fetch projects from API + console.print("\n[cyan]📁 Fetching your projects...[/cyan]\n") + + from runagent.sdk.rest_client import RestClient + + with Status("[bold cyan]Loading projects...", spinner="dots"): + rest_client = RestClient( + api_key=api_key, + base_url=Config.get_base_url() + ) + + try: + response = rest_client.http.get("/projects?page=1&per_page=20&include_stats=false") + + if response.status_code != 200: + console.print(Panel( + f"[red]❌ Failed to fetch projects (Status: {response.status_code})[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + projects_data = response.json() + + if not projects_data.get("success"): + console.print(Panel( + f"[red]❌ {projects_data.get('error', 'Failed to fetch projects')}[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + projects = projects_data.get("data", {}).get("projects", []) + + if not projects: + console.print(Panel( + "[yellow]⚠️ No projects found[/yellow]\n\n" + "[dim]Create a project in the dashboard first[/dim]", + title="[bold]No Projects[/bold]", + border_style="yellow" + )) + return + + except Exception as e: + console.print(Panel( + f"[red]❌ Error fetching projects: {str(e)}[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + return + + # Show project selection + current_project_id = Config.get_user_config().get('active_project_id') + + project_choices = [] + default_choice = None + + for project in projects: + project_id = project.get('id') + project_name = project.get('name', 'Unnamed') + is_default = project.get('is_default', False) + + # Mark current and default projects + label = f"📁 {project_name}" + if project_id == current_project_id: + label = f"✓ {label} [current]" + default_choice = (label, project_id) + elif is_default: + label = f"{label} [default]" + + choice_tuple = (label, project_id) + project_choices.append(choice_tuple) + + if not default_choice and is_default: + default_choice = choice_tuple + + questions = [ + inquirer.List( + 'project', + message="Select active project", + choices=project_choices, + default=default_choice, + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Project selection cancelled.[/dim]") + return + + selected_project_id = answers['project'] + + # Find selected project details + selected_project = next( + (p for p in projects if p.get('id') == selected_project_id), + None + ) + + if not selected_project: + console.print("[red]Error: Project not found[/red]") + return + + # Save to database + Config.set_user_config('active_project_id', selected_project_id) + Config.set_user_config('active_project_name', selected_project.get('name')) + + console.print(Panel( + f"[bold green]✅ Active project updated![/bold green]\n\n" + f"[dim]Project:[/dim] [cyan]{selected_project.get('name')}[/cyan]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + + +def _show_config_status(): + """Show configuration status (helper for interactive menu and status command)""" + from rich.panel import Panel + from rich.table import Table + + user_config = Config.get_user_config() + api_key = Config.get_api_key() + base_url = Config.get_base_url() + + # Create status table + table = Table(show_header=False, box=None, padding=(0, 2)) + table.add_column("Setting", style="dim") + table.add_column("Value", style="cyan") + + # API Key status + if api_key: + masked_key = api_key[:8] + "..." + api_key[-4:] if len(api_key) > 12 else "***" + table.add_row("🔑 API Key", f"[green]✓[/green] {masked_key}") + else: + table.add_row("🔑 API Key", "[red]✗ Not set[/red]") + + # Base URL + table.add_row("🌐 Base URL", base_url or "[yellow]Using default[/yellow]") + + # User info + if user_config.get('user_email'): + table.add_row("✉️ Email", user_config.get('user_email')) + + if user_config.get('user_tier'): + table.add_row("🎯 Tier", user_config.get('user_tier')) + + # Active project + if user_config.get('active_project_name'): + table.add_row("📁 Active Project", user_config.get('active_project_name')) + + # Sync status + sync_enabled = user_config.get('local_sync_enabled', True) + if sync_enabled: + table.add_row("🔄 Middleware Sync", "[green]✓ Enabled[/green]") + else: + table.add_row("🔄 Middleware Sync", "[yellow]⚠ Disabled[/yellow]") + + console.print(Panel( + table, + title="[bold cyan]RunAgent Configuration[/bold cyan]", + border_style="cyan" + )) + + # Show helpful info + console.print("\n[dim]💡 Use arrow keys in interactive mode: 'runagent config'[/dim]") + console.print("[dim]💡 Direct flags for automation: 'runagent config --set-api-key '[/dim]\n") + + +def _interactive_reset_config(): + """Interactive reset configuration (helper for interactive menu)""" + from rich.prompt import Confirm + from rich.panel import Panel + + console.print("[yellow]⚠️ This will remove all your configuration including API key[/yellow]") + if not Confirm.ask("\n[bold]Are you sure you want to reset?[/bold]", default=False): + console.print("[dim]Reset cancelled.[/dim]") + return + + sdk = RunAgent() + sdk.config.clear() + + console.print(Panel( + "[bold green]✅ Configuration reset successfully![/bold green]\n\n" + "[dim]Run 'runagent setup' to configure again.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + + + + +@config.command("status") +def config_status_cmd(): + """Show current configuration status""" + _show_config_status() + + +@config.command("reset") +@click.option("--yes", is_flag=True, help="Skip confirmation") +def config_reset_cmd(yes): + """Reset configuration to defaults""" + if yes: + _reset_config_without_prompt() + else: + _interactive_reset_config() + + +def _reset_config_without_prompt(): + """Reset config without confirmation (for --yes flag)""" + from rich.panel import Panel + + try: + sdk = RunAgent() + sdk.config.clear() + + console.print(Panel( + "[bold green]✅ Configuration reset successfully![/bold green]\n\n" + "[dim]Run 'runagent setup' to configure again.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"[red]Error:[/red] {e}") + raise click.ClickException("Reset failed") diff --git a/runagent/cli/commands/db.py b/runagent/cli/commands/db.py new file mode 100644 index 0000000..6e391ef --- /dev/null +++ b/runagent/cli/commands/db.py @@ -0,0 +1,659 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + +@click.group() +def db(): + """Database management and monitoring commands""" + pass + +@db.command() +@click.option("--cleanup-days", type=int, help="Clean up records older than N days") +@click.option("--agent-id", help="Show detailed info for specific agent") +@click.option("--capacity", is_flag=True, help="Show detailed capacity information") +def status(cleanup_days, agent_id, capacity): + """Show local database status and statistics (ENHANCED with invocation stats)""" + try: + sdk = RunAgent() + + if capacity: + # Show detailed capacity info + capacity_info = sdk.db_service.get_database_capacity_info() + + console.print(f"\n📊 [bold]Database Capacity Information[/bold]") + console.print( + f"Current: [cyan]{capacity_info.get('current_count', 0)}/5[/cyan] agents" + ) + console.print( + f"Remaining slots: [green]{capacity_info.get('remaining_slots', 0)}[/green]" + ) + + status = "🔴 FULL" if capacity_info.get("is_full") else "🟢 Available" + console.print(f"Status: {status}") + + agents = capacity_info.get("agents", []) + if agents: + console.print(f"\n📋 [bold]Deployed Agents (by age):[/bold]") + + # Create table for agents + table = Table(title="Agents by Deployment Age") + table.add_column("#", style="dim", width=3) + table.add_column("Status", width=6) + table.add_column("Agent ID", style="magenta", width=36) + table.add_column("Framework", style="green", width=12) + table.add_column("Deployed At", style="cyan", width=20) + table.add_column("Age Note", style="yellow", width=10) + + for i, agent in enumerate(agents): + status_icon = ( + "🟢" + if agent["status"] == "deployed" + else "🔴" if agent["status"] == "error" else "🟡" + ) + age_label = ( + "oldest" + if i == 0 + else "newest" if i == len(agents) - 1 else "" + ) + + table.add_row( + str(i+1), + status_icon, + agent['agent_id'], + agent['framework'], + agent['deployed_at'] or "Unknown", + age_label + ) + + console.print(table) + + if capacity_info.get("is_full"): + oldest = capacity_info.get("oldest_agent", {}) + console.print( + f"\n💡 [yellow]To deploy new agent, replace oldest:[/yellow]" + ) + console.print( + f" [cyan]runagent serve --folder --replace {oldest.get('agent_id', '')}[/cyan]" + ) + console.print( + f" [cyan]runagent delete --id {oldest.get('agent_id', '')}[/cyan]" + ) + + return + + if agent_id: + # Show agent-specific details including invocations + result = sdk.get_agent_info(agent_id, local=True) + if result.get("success"): + agent_data = result["agent_info"] + console.print(f"\n🔍 [bold]Agent Details: {agent_id}[/bold]") + console.print(f"Framework: [green]{agent_data.get('framework')}[/green]") + console.print(f"Status: [yellow]{agent_data.get('status')}[/yellow]") + console.print(f"Path: [blue]{agent_data.get('deployment_path')}[/blue]") + + # Show agent-specific invocation stats + agent_inv_stats = sdk.db_service.get_invocation_stats(agent_id=agent_id) + console.print(f"\n📊 [bold]Invocation Statistics for {agent_id}[/bold]") + console.print(f"Total: [cyan]{agent_inv_stats.get('total_invocations', 0)}[/cyan]") + console.print(f"Success Rate: [blue]{agent_inv_stats.get('success_rate', 0)}%[/blue]") + + return + + # Show general database stats + stats = sdk.db_service.get_database_stats() + capacity_info = sdk.db_service.get_database_capacity_info() + + console.print("\n📊 [bold]Local Database Status[/bold]") + + current_count = capacity_info.get("current_count", 0) + is_full = capacity_info.get("is_full", False) + status = "FULL" if is_full else "OK" + console.print( + f"Agent Capacity: [cyan]{current_count}/5[/cyan] agents ([red]{status}[/red])" + if is_full + else f"Agent Capacity: [cyan]{current_count}/5[/cyan] agents ([green]{status}[/green])" + ) + + console.print(f"Total Agent Runs: [cyan]{stats.get('total_runs', 0)}[/cyan]") + console.print( + f"Database Size: [yellow]{stats.get('database_size_mb', 0)} MB[/yellow]" + ) + + # NEW: Show invocation statistics + overall_stats = sdk.db_service.get_invocation_stats() + + console.print(f"\n📊 [bold]Invocation Statistics[/bold]") + console.print(f"Total Invocations: [cyan]{overall_stats.get('total_invocations', 0)}[/cyan]") + console.print(f"Completed: [green]{overall_stats.get('completed_invocations', 0)}[/green]") + console.print(f"Failed: [red]{overall_stats.get('failed_invocations', 0)}[/red]") + console.print(f"Pending: [yellow]{overall_stats.get('pending_invocations', 0)}[/yellow]") + console.print(f"Success Rate: [blue]{overall_stats.get('success_rate', 0)}%[/blue]") + + if overall_stats.get('avg_execution_time_ms'): + avg_time = overall_stats['avg_execution_time_ms'] + if avg_time < 1000: + time_display = f"{avg_time:.1f}ms" + else: + time_display = f"{avg_time/1000:.2f}s" + console.print(f"Average Execution Time: [cyan]{time_display}[/cyan]") + + # Show agent status breakdown + status_counts = stats.get("agent_status_counts", {}) + if status_counts: + console.print("\n📈 [bold]Agent Status Breakdown:[/bold]") + for status, count in status_counts.items(): + console.print(f" [cyan]{status}[/cyan]: {count}") + + # List agents in table format + agents = sdk.db_service.list_agents() + + if agents: + console.print(f"\n📋 [bold]Deployed Agents:[/bold]") + + # Create table for better formatting + table = Table(title=f"Local Agents ({len(agents)} total)") + table.add_column("Status", width=8) + table.add_column("Files", width=6) + table.add_column("Agent ID", style="magenta", width=36) + table.add_column("Framework", style="green", width=12) + table.add_column("Host:Port", style="blue", width=15) + table.add_column("Runs", style="cyan", width=6) + table.add_column("Status", style="yellow", width=10) + + for agent in agents: + status_icon = ( + "🟢" + if agent["status"] == "deployed" + else "🔴" if agent["status"] == "error" else "🟡" + ) + exists_icon = "📁" if agent.get("exists") else "❌" + + table.add_row( + status_icon, + exists_icon, + agent['agent_id'], + agent['framework'], + f"{agent.get('host', 'N/A')}:{agent.get('port', 'N/A')}", + str(agent.get('run_count', 0)), + agent['status'] + ) + + console.print(table) + + # Show recent invocations + recent_invocations = sdk.db_service.list_invocations(limit=5) + if recent_invocations: + console.print(f"\n📋 [bold]Recent Invocations:[/bold]") + for inv in recent_invocations: + status_color = "green" if inv['status'] == "completed" else "red" if inv['status'] == "failed" else "yellow" + console.print(f" • {inv['invocation_id'][:12]}... [{status_color}]{inv['status']}[/{status_color}] ({inv.get('entrypoint_tag', 'N/A')})") + + console.print(f"\n💡 [bold]Database Commands:[/bold]") + console.print(f" • [cyan]runagent db invocations[/cyan] - Show all invocations") + console.print(f" • [cyan]runagent db invocation [/cyan] - Show specific invocation") + console.print(f" • [cyan]runagent db cleanup[/cyan] - Clean up old records") + console.print(f" • [cyan]runagent db status --agent-id [/cyan] - Agent-specific info") + console.print(f" • [cyan]runagent db status --capacity[/cyan] - Capacity management info") + + # Cleanup if requested (keep existing logic) + if cleanup_days: + console.print(f"\n🧹 Cleaning up records older than {cleanup_days} days...") + cleanup_result = sdk.cleanup_local_database(cleanup_days) + if cleanup_result.get("success"): + console.print(f"✅ [green]{cleanup_result.get('message')}[/green]") + else: + console.print(f"❌ [red]{cleanup_result.get('error')}[/red]") + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Database status error:[/red] {e}") + raise click.ClickException("Failed to get database status") + + +@db.command() +@click.option("--agent-id", help="Filter by specific agent ID") +@click.option("--status", type=click.Choice(["pending", "completed", "failed"]), help="Filter by status") +@click.option("--limit", type=int, default=20, help="Maximum number of invocations to show") +@click.option("--format", "output_format", type=click.Choice(["table", "json"]), default="table", help="Output format") +def invocations(agent_id, status, limit, output_format): + """Show agent invocation history and statistics""" + try: + sdk = RunAgent() + + # Get invocations + invocations_list = sdk.db_service.list_invocations( + agent_id=agent_id, + status=status, + limit=limit + ) + + if output_format == "json": + console.print(json.dumps(invocations_list, indent=2)) + return + + if not invocations_list: + console.print("📭 [yellow]No invocations found[/yellow]") + if agent_id: + console.print(f" • Agent ID: {agent_id}") + if status: + console.print(f" • Status: {status}") + return + + # Show statistics first + if agent_id: + stats = sdk.db_service.get_invocation_stats(agent_id=agent_id) + else: + stats = sdk.db_service.get_invocation_stats() + + console.print(f"\n📊 [bold]Invocation Statistics[/bold]") + if agent_id: + console.print(f" Agent ID: [magenta]{agent_id}[/magenta]") + console.print(f" Total: [cyan]{stats.get('total_invocations', 0)}[/cyan]") + console.print(f" Completed: [green]{stats.get('completed_invocations', 0)}[/green]") + console.print(f" Failed: [red]{stats.get('failed_invocations', 0)}[/red]") + console.print(f" Pending: [yellow]{stats.get('pending_invocations', 0)}[/yellow]") + console.print(f" Success Rate: [blue]{stats.get('success_rate', 0)}%[/blue]") + if stats.get('avg_execution_time_ms'): + console.print(f" Avg Execution Time: [cyan]{stats.get('avg_execution_time_ms', 0):.1f}ms[/cyan]") + + # Show invocations table + console.print(f"\n📋 [bold]Recent Invocations (showing {len(invocations_list)} of {limit} max)[/bold]") + + table = Table(title="Agent Invocations") + table.add_column("Invocation", style="dim", width=12) + table.add_column("Agent", style="magenta", width=12) + table.add_column("Entrypoint", style="green", width=12) + table.add_column("Status", width=10) + table.add_column("Duration", style="cyan", width=10) + table.add_column("Started", style="dim", width=16) + table.add_column("SDK", style="yellow", width=10) + + for inv in invocations_list: + # Status with color + status_text = inv['status'] + if status_text == "completed": + status_display = f"[green]{status_text}[/green]" + elif status_text == "failed": + status_display = f"[red]{status_text}[/red]" + else: + status_display = f"[yellow]{status_text}[/yellow]" + + # Duration calculation + duration_display = "N/A" + if inv.get('execution_time_ms'): + if inv['execution_time_ms'] < 1000: + duration_display = f"{inv['execution_time_ms']:.0f}ms" + else: + duration_display = f"{inv['execution_time_ms']/1000:.1f}s" + + # Format timestamp + started_display = "N/A" + if inv.get('request_timestamp'): + try: + from datetime import datetime + dt = datetime.fromisoformat(inv['request_timestamp'].replace('Z', '+00:00')) + started_display = dt.strftime('%m-%d %H:%M:%S') + except: + started_display = inv['request_timestamp'][:16] + + table.add_row( + inv['invocation_id'][:8] + "...", + inv['agent_id'][:8] + "...", + inv.get('entrypoint_tag', 'N/A')[:12], + status_display, + duration_display, + started_display, + inv.get('sdk_type', 'unknown')[:10] + ) + + console.print(table) + + # Show usage tips + console.print(f"\n💡 [dim]Usage tips:[/dim]") + console.print(f" • View specific invocation: [cyan]runagent db invocation [/cyan]") + console.print(f" • Filter by agent: [cyan]runagent db invocations --agent-id [/cyan]") + console.print(f" • Filter by status: [cyan]runagent db invocations --status completed[/cyan]") + console.print(f" • JSON output: [cyan]runagent db invocations --format json[/cyan]") + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Error getting invocations:[/red] {e}") + raise click.ClickException("Failed to get invocations") + + +@db.command() +@click.argument("invocation_id") +@click.option("--format", "output_format", type=click.Choice(["table", "json"]), default="table", help="Output format") +def invocation(invocation_id, output_format): + """Show detailed information about a specific invocation""" + try: + sdk = RunAgent() + + invocation = sdk.db_service.get_invocation(invocation_id) + + if not invocation: + console.print(f"❌ [red]Invocation {invocation_id} not found[/red]") + + # Show available invocations + console.print("\n💡 Recent invocations:") + recent = sdk.db_service.list_invocations(limit=5) + for inv in recent: + console.print(f" • {inv['invocation_id']} ({inv['status']})") + + raise click.ClickException("Invocation not found") + + if output_format == "json": + console.print(json.dumps(invocation, indent=2)) + return + + # Display detailed information + console.print(f"\n🔍 [bold]Invocation Details[/bold]") + console.print(f" Invocation ID: [bold magenta]{invocation['invocation_id']}[/bold magenta]") + console.print(f" Agent ID: [bold cyan]{invocation['agent_id']}[/bold cyan]") + console.print(f" Entrypoint: [green]{invocation.get('entrypoint_tag', 'N/A')}[/green]") + console.print(f" SDK Type: [yellow]{invocation.get('sdk_type', 'unknown')}[/yellow]") + + # Status with color + status = invocation['status'] + if status == "completed": + status_display = f"[green]{status}[/green]" + elif status == "failed": + status_display = f"[red]{status}[/red]" + else: + status_display = f"[yellow]{status}[/yellow]" + console.print(f" Status: {status_display}") + + # Timing information + console.print(f"\n⏱️ [bold]Timing Information[/bold]") + if invocation.get('request_timestamp'): + console.print(f" Started: [cyan]{invocation['request_timestamp']}[/cyan]") + if invocation.get('response_timestamp'): + console.print(f" Completed: [cyan]{invocation['response_timestamp']}[/cyan]") + if invocation.get('execution_time_ms'): + exec_time = invocation['execution_time_ms'] + if exec_time < 1000: + time_display = f"{exec_time:.1f}ms" + else: + time_display = f"{exec_time/1000:.2f}s" + console.print(f" Duration: [green]{time_display}[/green]") + + # Input data + console.print(f"\n📥 [bold]Input Data[/bold]") + if invocation.get('input_data'): + input_str = json.dumps(invocation['input_data'], indent=2) + if len(input_str) > 500: + console.print(f" [dim]{input_str[:500]}...\n (truncated - use --format json for full data)[/dim]") + else: + console.print(f" [dim]{input_str}[/dim]") + else: + console.print(" [dim]No input data[/dim]") + + # Output data or error + if invocation['status'] == 'failed' and invocation.get('error_detail'): + console.print(f"\n❌ [bold red]Error Details[/bold red]") + console.print(f" [red]{invocation['error_detail']}[/red]") + elif invocation.get('output_data'): + console.print(f"\n📤 [bold]Output Data[/bold]") + output_str = json.dumps(invocation['output_data'], indent=2) + if len(output_str) > 500: + console.print(f" [dim]{output_str[:500]}...\n (truncated - use --format json for full data)[/dim]") + else: + console.print(f" [dim]{output_str}[/dim]") + + # Client info + if invocation.get('client_info'): + console.print(f"\n🔧 [bold]Client Information[/bold]") + client_str = json.dumps(invocation['client_info'], indent=2) + console.print(f" [dim]{client_str}[/dim]") + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Error getting invocation details:[/red] {e}") + raise click.ClickException("Failed to get invocation details") + + +@db.command() +@click.option("--days", type=int, default=30, help="Clean up invocations older than N days") +@click.option("--agent-runs", is_flag=True, help="Also clean up old agent_runs records") +@click.option("--yes", is_flag=True, help="Skip confirmation") +def cleanup(days, agent_runs, yes): + """Clean up old database records""" + try: + sdk = RunAgent() + + # Get count of records to be cleaned + all_invocations = sdk.db_service.list_invocations(limit=1000) + + # Filter by date (simple approximation for preview) + from datetime import datetime, timedelta + cutoff_date = datetime.now() - timedelta(days=days) + + old_invocations_count = len([ + inv for inv in all_invocations + if inv.get('request_timestamp') and + datetime.fromisoformat(inv['request_timestamp'].replace('Z', '+00:00')) < cutoff_date + ]) + + console.print(f"🧹 [yellow]Cleanup Preview (older than {days} days):[/yellow]") + console.print(f" • Invocations: {old_invocations_count} records") + + if agent_runs: + console.print(f" • Agent runs: Will be cleaned too") + + if old_invocations_count == 0: + console.print(f"✅ [green]No records found older than {days} days[/green]") + return + + if not yes: + if not click.confirm(f"⚠️ This will permanently delete {old_invocations_count} invocation records. Continue?"): + console.print("Cleanup cancelled.") + return + + # Perform cleanup + deleted_invocations = sdk.db_service.cleanup_old_invocations(days_old=days) + + console.print(f"✅ [green]Cleaned up {deleted_invocations} old invocation records[/green]") + + if agent_runs: + deleted_runs = sdk.cleanup_local_database(days) + if deleted_runs.get("success"): + console.print(f"✅ [green]Also cleaned up old agent runs[/green]") + + # Show updated stats + stats = sdk.db_service.get_invocation_stats() + console.print(f"📊 Remaining invocations: [cyan]{stats.get('total_invocations', 0)}[/cyan]") + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Error cleaning up records:[/red] {e}") + raise click.ClickException("Cleanup failed") + + +# local-sync command removed - sync settings now managed via 'runagent config' +# Use: runagent config > Select "🔄 Sync Settings" + + +# Add this simplified logs command to the db group in runagent/cli/commands.py + +@db.command() +@click.option("--agent-id", help="Filter by specific agent ID") +@click.option("--limit", type=int, default=100, help="Maximum number of logs to show") +@click.option("--format", "output_format", type=click.Choice(["table", "json"]), default="table", help="Output format") +def logs(agent_id, limit, output_format): + """Show all agent logs (no filtering)""" + try: + sdk = RunAgent() + + if agent_id: + # Show logs for specific agent + logs = sdk.db_service.get_agent_logs(agent_id=agent_id, limit=limit) + + if not logs: + console.print("📭 [yellow]No logs found[/yellow]") + console.print(f" • Agent ID: {agent_id}") + return + + if output_format == "json": + console.print(json.dumps(logs, indent=2)) + return + + console.print(f"\n📋 [bold]Agent Logs: {agent_id}[/bold]") + + table = Table(title=f"All Agent Logs (showing {len(logs)} entries)") + table.add_column("Time", style="dim", width=16) + table.add_column("Level", width=8) + table.add_column("Message", style="white", width=80) + table.add_column("Execution", style="cyan", width=12) + + for log in logs: + # Format timestamp + time_str = "N/A" + if log.get('created_at'): + try: + from datetime import datetime + dt = datetime.fromisoformat(log['created_at']) + time_str = dt.strftime('%m-%d %H:%M:%S') + except: + time_str = log['created_at'][:16] + + # Color code log levels + level = log.get('log_level', 'INFO') + if level == 'ERROR' or level == 'CRITICAL': + level_display = f"[red]{level}[/red]" + elif level == 'WARNING': + level_display = f"[yellow]{level}[/yellow]" + elif level == 'DEBUG': + level_display = f"[dim]{level}[/dim]" + else: + level_display = f"[green]{level}[/green]" + + # Don't truncate messages - show full log + message = log.get('message', '') + + # Show execution ID if available + exec_id = log.get('execution_id', '') + exec_display = exec_id[:8] + "..." if exec_id else "" + + table.add_row(time_str, level_display, message, exec_display) + + console.print(table) + + else: + # Show log summary for all agents + agents = sdk.db_service.list_agents() + + if not agents: + console.print("📭 [yellow]No agents found[/yellow]") + return + + console.print(f"\n📊 [bold]Agent Log Summary[/bold]") + + table = Table(title="Log Counts by Agent") + table.add_column("Agent ID", style="magenta", width=36) + table.add_column("Framework", style="green", width=12) + table.add_column("Total Logs", style="cyan", width=10) + table.add_column("Errors", style="red", width=8) + table.add_column("Last Log", style="dim", width=16) + + for agent in agents[:10]: # Show first 10 agents + agent_logs = sdk.db_service.get_agent_logs(agent['agent_id'], limit=1000) + error_logs = [log for log in agent_logs if log.get('log_level') in ['ERROR', 'CRITICAL']] + + last_log_time = "Never" + if agent_logs: + try: + from datetime import datetime + dt = datetime.fromisoformat(agent_logs[0]['created_at']) + last_log_time = dt.strftime('%m-%d %H:%M') + except: + last_log_time = "Recent" + + table.add_row( + agent['agent_id'], + agent['framework'], + str(len(agent_logs)), + str(len(error_logs)), + last_log_time + ) + + console.print(table) + + console.print(f"\n💡 [bold]Usage tips:[/bold]") + console.print(f" • View agent logs: [cyan]runagent db logs --agent-id [/cyan]") + console.print(f" • JSON output: [cyan]runagent db logs --agent-id --format json[/cyan]") + console.print(f" • More logs: [cyan]runagent db logs --agent-id --limit 500[/cyan]") + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Error getting logs:[/red] {e}") + raise click.ClickException("Failed to get logs") + + +@db.command() +@click.option("--days", type=int, default=7, help="Clean up logs older than N days") +@click.option("--yes", is_flag=True, help="Skip confirmation") +def cleanup_logs(days, yes): + """Clean up old agent logs""" + try: + sdk = RunAgent() + + if not yes: + if not click.confirm(f"⚠️ This will delete logs older than {days} days for ALL agents. Continue?"): + console.print("Cleanup cancelled.") + return + + deleted_count = sdk.db_service.cleanup_old_logs(days_old=days) + console.print(f"✅ [green]Cleaned up {deleted_count} old log entries[/green]") + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Error cleaning up logs:[/red] {e}") + raise click.ClickException("Log cleanup failed") \ No newline at end of file diff --git a/runagent/cli/commands/delete.py b/runagent/cli/commands/delete.py new file mode 100644 index 0000000..ae60e0d --- /dev/null +++ b/runagent/cli/commands/delete.py @@ -0,0 +1,121 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + +@click.command() +@click.option("--id", "agent_id", required=True, help="Agent ID to delete") +@click.option("--yes", is_flag=True, help="Skip confirmation") +def delete(agent_id, yes): + """Delete an agent from the local database""" + try: + from runagent.cli.branding import print_header + print_header("Delete Agent") + + sdk = RunAgent() + + # Get agent info first + agent = sdk.db_service.get_agent(agent_id) + if not agent: + console.print(f"❌ [red]Agent {agent_id} not found in database[/red]") + + # Show available agents + console.print("\n💡 Available agents:") + agents = sdk.db_service.list_agents() + if agents: + table = Table(title="Available Agents") + table.add_column("Agent ID", style="magenta") + table.add_column("Framework", style="green") + table.add_column("Status", style="yellow") + table.add_column("Deployed At", style="dim") + + for agent in agents[:10]: # Show first 10 + table.add_row( + agent['agent_id'][:8] + "...", + agent['framework'], + agent['status'], + agent['deployed_at'] or "Unknown" + ) + console.print(table) + else: + console.print(" No agents found in database") + + raise click.ClickException("Agent not found") + + # Show agent details + console.print(f"\n🔍 [yellow]Agent to be deleted:[/yellow]") + console.print(f" Agent ID: [bold magenta]{agent['agent_id']}[/bold magenta]") + console.print(f" Framework: [green]{agent['framework']}[/green]") + console.print(f" Path: [blue]{agent['agent_path']}[/blue]") + console.print(f" Status: [yellow]{agent['status']}[/yellow]") + console.print(f" Deployed: [dim]{agent['deployed_at']}[/dim]") + console.print(f" Total Runs: [cyan]{agent['run_count']}[/cyan]") + + # Confirmation + if not yes: + if not click.confirm("\n⚠️ This will permanently delete the agent from the database. Continue?"): + console.print("Deletion cancelled.") + return + + # Delete the agent + result = sdk.db_service.force_delete_agent(agent_id) + + if result["success"]: + console.print(f"\n✅ [green]Agent {agent_id} deleted successfully![/green]") + + # Show updated capacity + capacity_info = sdk.db_service.get_database_capacity_info() + console.print(f"📊 Updated capacity: [cyan]{capacity_info.get('current_count', 0)}/5[/cyan] agents") + else: + console.print(f"❌ [red]Failed to delete agent:[/red] {format_error_message(result.get('error'))}") + import sys + sys.exit(1) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Delete error:[/red] {e}") + import sys + sys.exit(1) diff --git a/runagent/cli/commands/deploy.py b/runagent/cli/commands/deploy.py new file mode 100644 index 0000000..af8d06b --- /dev/null +++ b/runagent/cli/commands/deploy.py @@ -0,0 +1,108 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + +@click.command() +@click.argument( + "path", + type=click.Path( + exists=True, + file_okay=False, + dir_okay=True, + readable=True, + resolve_path=True, + path_type=Path, + ), + default=".", +) +def deploy(path: Path): + """Deploy agent (upload + start) to remote server""" + + try: + from runagent.cli.branding import print_header + print_header("Deploy Agent") + + sdk = RunAgent() + + # Check authentication + if not sdk.is_configured(): + console.print( + "❌ [red]Not authenticated.[/red] Run [cyan]'runagent setup --api-key '[/cyan] first" + ) + raise click.ClickException("Authentication required") + + # Validate folder + if not Path(path).exists(): + raise click.ClickException(f"Folder not found: {path}") + + console.print(f"🎯 [bold]Deploying agent (upload + start)...[/bold]") + console.print(f"📁 Source: [cyan]{path}[/cyan]") + + # Deploy agent (framework auto-detected) + result = sdk.deploy_remote(folder=str(path)) + + if result.get("success"): + console.print(f"\n✅ [green]Deployment successful![/green]") + console.print(f"🆔 Agent ID: [bold magenta]{result.get('agent_id')}[/bold magenta]") + console.print(f"🌐 Endpoint: [link]{result.get('endpoint')}[/link]") + else: + console.print(f"❌ [red]Deployment failed:[/red] {format_error_message(result.get('error'))}") + import sys + sys.exit(1) + + except AuthenticationError as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Authentication error:[/red] {e}") + import sys + sys.exit(1) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Deployment error:[/red] {e}") + import sys + sys.exit(1) + diff --git a/runagent/cli/commands/init.py b/runagent/cli/commands/init.py new file mode 100644 index 0000000..8550b74 --- /dev/null +++ b/runagent/cli/commands/init.py @@ -0,0 +1,374 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + +@click.command() +@click.option("--template", help="Template variant (default, advanced, etc.) - for non-interactive") +@click.option("--blank", is_flag=True, help="Start from blank template - for non-interactive") +@click.option("--name", help="Agent name - for non-interactive") +@click.option("--description", help="Agent description - for non-interactive") +@click.option("--overwrite", is_flag=True, help="Overwrite existing folder") +@add_framework_options # Adds framework flags for non-interactive +@click.argument( + "path", + type=click.Path( + file_okay=False, + dir_okay=True, + readable=True, + resolve_path=True, + path_type=Path, + ), + default=".", + required=False, +) +def init(template, blank, name, description, overwrite, path, **kwargs): + """ + Initialize a new RunAgent project + + \b + Interactive mode (default - recommended): + $ runagent init + + \b + Non-interactive with template: + $ runagent init --framework langgraph --template advanced --name "My Agent" --description "Does XYZ" ./my-agent + + \b + Non-interactive blank: + $ runagent init --blank --name "Custom Agent" --description "My custom implementation" + """ + + try: + from runagent.cli.branding import print_header + from rich.prompt import Prompt + from rich.panel import Panel + import inquirer + + print_header("Initialize Project") + + sdk = RunAgent() + + # Determine if interactive mode + selected_framework = get_selected_framework(kwargs) + has_required_non_interactive = ( + (selected_framework or blank) and name and description + ) + is_interactive = not has_required_non_interactive + + # Variables to collect + agent_name = name + agent_description = description + use_blank = blank + framework = selected_framework + selected_template = template or "default" + + if is_interactive: + # Step 1: Choose blank or template + console.print("[bold cyan]How would you like to start?[/bold cyan]\n") + + start_questions = [ + inquirer.List( + 'start_type', + message="Select starting point", + choices=[ + ('📦 From Template (recommended)', 'template'), + ('📄 Blank Project (advanced)', 'blank'), + ], + default=('📦 From Template (recommended)', 'template'), + carousel=True + ), + ] + + start_answer = inquirer.prompt(start_questions) + if not start_answer: + console.print("[dim]Initialization cancelled.[/dim]") + return + + use_blank = (start_answer['start_type'] == 'blank') + + # Step 2: If template, select framework and template + if not use_blank: + # Select framework + console.print("\n[bold]Select framework:[/bold]\n") + selectable_frameworks = Framework.get_selectable_frameworks() + + framework_choices = [] + for fw in selectable_frameworks: + category_emoji = "🐍" if fw.is_pythonic() else "🌐" if fw.is_webhook() else "❓" + label = f"{category_emoji} {fw.value} ({fw.category})" + framework_choices.append((label, fw)) + + fw_questions = [ + inquirer.List( + 'framework', + message="Choose framework", + choices=framework_choices, + carousel=True + ), + ] + + fw_answer = inquirer.prompt(fw_questions) + if not fw_answer: + console.print("[dim]Initialization cancelled.[/dim]") + return + + framework = fw_answer['framework'] + + # Select template for chosen framework + console.print(f"\n[bold]Select template for {framework.value}:[/bold]") + + # Fetch templates with real progress feedback + from rich.status import Status + import time + + fetch_start = time.time() + + with Status( + "[cyan]Fetching available templates...[/cyan]", + console=console, + spinner="dots" + ) as status: + clone_start = time.time() + status.update("[cyan]Cloning template repository...[/cyan]") + + templates = sdk.list_templates(framework.value) + clone_time = time.time() - clone_start + + status.update(f"[cyan]Templates fetched ({clone_time:.1f}s)[/cyan]") + template_list = templates.get(framework.value, ["default"]) + + fetch_time = time.time() - fetch_start + + console.print(f"[dim]✓ Found {len(template_list)} template(s) in {fetch_time:.1f}s[/dim]") + + # Auto-select if only one template available + if len(template_list) == 1: + selected_template = template_list[0] + console.print(f"[dim]→ Using template: {selected_template}[/dim]\n") + else: + # Show dropdown for multiple templates + console.print() + template_choices = [(f"🧱 {tmpl}", tmpl) for tmpl in template_list] + + tmpl_questions = [ + inquirer.List( + 'template', + message="Choose template", + choices=template_choices, + carousel=True + ), + ] + + tmpl_answer = inquirer.prompt(tmpl_questions) + if not tmpl_answer: + console.print("[dim]Initialization cancelled.[/dim]") + return + + selected_template = tmpl_answer['template'] + else: + # Blank project uses default framework + framework = Framework.DEFAULT + selected_template = "default" + + # Step 3: Get agent name and description (for both blank and template) + console.print("\n[bold]Agent Details:[/bold]\n") + + agent_name = Prompt.ask( + "[cyan]Agent name[/cyan]", + default="my-agent" + ) + + agent_description = Prompt.ask( + "[cyan]Agent description[/cyan]", + default="My AI agent" + ) + + # Step 4: Get path (default based on agent name) + console.print() + # Convert agent name to valid directory name (replace spaces with hyphens, lowercase) + default_path = agent_name.lower().replace(" ", "-").replace("_", "-") + path_input = Prompt.ask( + "[cyan]Project path[/cyan]", + default=default_path + ) + path = Path(path_input) + + # Ensure framework is set + if not framework: + framework = Framework.DEFAULT + + # Validate framework if it came from string input + if isinstance(framework, str): + try: + framework = Framework.from_string(framework) + except ValueError as e: + raise click.UsageError(str(e)) + + # Use the path as the project location + project_path = path.resolve() + + # Ensure the path exists + project_path.parent.mkdir(parents=True, exist_ok=True) + + # Show configuration summary + console.print(Panel( + f"[bold]Project Configuration:[/bold]\n\n" + f"[dim]Name:[/dim] [cyan]{agent_name}[/cyan]\n" + f"[dim]Description:[/dim] [white]{agent_description}[/white]\n" + f"[dim]Framework:[/dim] [magenta]{framework.value}[/magenta]\n" + f"[dim]Template:[/dim] [yellow]{selected_template}[/yellow]\n" + f"[dim]Path:[/dim] [blue]{project_path}[/blue]", + title="[bold cyan]Creating Agent[/bold cyan]", + border_style="cyan" + )) + + # Initialize project + success = sdk.init_project( + folder_path=project_path, + framework=framework.value, + template=selected_template, + overwrite=overwrite + ) + + if not success: + raise Exception("Project initialization failed") + + # Update config file with name and description + try: + import warnings + from datetime import datetime + + # Suppress Pydantic datetime warnings during config update + warnings.filterwarnings('ignore', category=UserWarning, module='pydantic') + + config_path = project_path / "runagent.config.json" + if config_path.exists(): + with open(config_path, 'r') as f: + config_data = json.load(f) + + config_data['name'] = agent_name + config_data['description'] = agent_description + + # Fix created_at format if it exists and is a string in wrong format + if 'created_at' in config_data and isinstance(config_data['created_at'], str): + try: + # Try to parse and convert to ISO format + dt = datetime.strptime(config_data['created_at'], "%Y-%m-%d %H:%M:%S") + config_data['created_at'] = dt.isoformat() + except: + # If parsing fails, use current time in ISO format + config_data['created_at'] = datetime.now().isoformat() + + with open(config_path, 'w') as f: + json.dump(config_data, f, indent=2) + + console.print("\n[dim]✓ Updated agent name and description in config[/dim]") + except Exception as e: + console.print(f"[yellow]⚠️ Could not update config: {e}[/yellow]") + + # Success message + relative_path = project_path.relative_to(Path.cwd()) if project_path != Path.cwd() else Path(".") + + console.print(Panel( + f"[bold green]✅ Agent '{agent_name}' created successfully![/bold green]\n\n" + f"[dim]Location:[/dim] [cyan]{relative_path}[/cyan]\n" + f"[dim]Framework:[/dim] [magenta]{framework.value}[/magenta]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + + # Simple next steps + console.print("\n💡 [bold]Next Steps:[/bold]") + if relative_path != Path("."): + console.print(f" 1️⃣ [cyan]cd {relative_path}[/cyan]") + console.print(f" 2️⃣ Install dependencies: [cyan]pip install -r requirements.txt[/cyan]") + console.print(f" 3️⃣ Serve locally: [cyan]runagent serve .[/cyan]") + else: + console.print(f" 1️⃣ Install dependencies: [cyan]pip install -r requirements.txt[/cyan]") + console.print(f" 2️⃣ Serve locally: [cyan]runagent serve .[/cyan]") + + except TemplateError as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(Panel( + f"[bold red]Template Error[/bold red]\n\n" + f"{str(e)}\n\n" + f"[dim]Please check that the selected framework and template are valid.[/dim]", + title="[bold red]❌ Failed[/bold red]", + border_style="red" + )) + import sys + sys.exit(1) + except FileExistsError as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + + # Extract just the path from the error message + path_match = str(e).split("'") + folder_path = path_match[1] if len(path_match) > 1 else "the specified path" + + console.print(Panel( + f"[bold yellow]Directory Already Exists[/bold yellow]\n\n" + f"[dim]Path:[/dim] [cyan]{folder_path}[/cyan]\n\n" + f"The directory already exists and is not empty.\n\n" + f"[bold]Options:[/bold]\n" + f" • Choose a different path\n" + f" • Use [cyan]--overwrite[/cyan] flag to replace existing files\n" + f" • Remove the directory manually", + title="[bold yellow]⚠️ Path Conflict[/bold yellow]", + border_style="yellow" + )) + import sys + sys.exit(1) + except click.UsageError: + # Re-raise UsageError as-is for proper click handling + raise + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Initialization error:[/red] {e}") + raise click.ClickException("Project initialization failed") + diff --git a/runagent/cli/commands/run.py b/runagent/cli/commands/run.py new file mode 100644 index 0000000..1417769 --- /dev/null +++ b/runagent/cli/commands/run.py @@ -0,0 +1,235 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + + +@click.command( + context_settings=dict( + ignore_unknown_options=True, + allow_extra_args=True, + )) +@click.option("--id", "agent_id", help="Agent ID to run") +@click.option("--host", help="Host to connect to (use with --port)") +@click.option("--port", type=int, help="Port to connect to (use with --host)") +@click.option( + "--input", + "input_file", + type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True, path_type=Path), + help="Path to input JSON file" +) +@click.option("--local", is_flag=True, help="Run agent locally") +@click.option("--tag", required=True, help="Entrypoint tag to be used") +# @click.option("--generic-stream", is_flag=True, help="Use generic streaming mode") +@click.option("--timeout", type=int, help="Timeout in seconds") +@click.pass_context +def run(ctx, agent_id, host, port, input_file, local, tag, timeout): + """ + Run an agent with flexible configuration options + + Examples: + # Using agent ID with extra params + runagent run --agent-id my-agent --param1=value1 --param2=value2 + + # Using host/port with input file + runagent run --host localhost --port 8080 --input config.json + + # local agent + runagent run --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal --local --message=something + + # remote agent + runagent run --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal --message=something + """ + from runagent.cli.branding import print_header + print_header("Run Agent") + + # ============================================ + # VALIDATION 1: Either agent-id OR host/port + # ============================================ + agent_id_provided = agent_id is not None + host_port_provided = host is not None or port is not None + + if agent_id_provided and host_port_provided: + raise click.UsageError( + "Cannot specify both --agent-id and --host/--port. " + "Choose one approach." + ) + + if not agent_id_provided and not host_port_provided: + raise click.UsageError( + "Must specify either --agent-id or both --host and --port." + ) + + # If using host/port, both must be provided + if host_port_provided and (host is None or port is None): + raise click.UsageError( + "When using host/port, both --host and --port must be specified." + ) + + # ============================================ + # # VALIDATION 2: tag validation + # # ============================================ + if tag.endswith("_stream"): + console.print(f"❌ [bold red]Execution failed:[/bold red] Cannot use streaming Entrypoint tag `{tag}` through non-streaming endpoint.") + return + + + # ============================================ + # VALIDATION 3: Input file OR extra params + # ============================================ + + # Parse extra parameters from ctx.args + extra_params = {} + invalid_args = [] + + for arg in ctx.args: + if arg.startswith('--') and '=' in arg: + # Valid format: --key=value + key, value = arg[2:].split('=', 1) + extra_params[key] = value + else: + # Invalid format + invalid_args.append(arg) + + if invalid_args: + raise click.UsageError( + f"Invalid extra arguments: {invalid_args}. " + "Extra parameters must be in --key=value format." + ) + + # Check mutual exclusivity of input file and extra params + if input_file and extra_params: + raise click.UsageError( + "Cannot specify both --input file and extra parameters. " + "Use either --input config.json OR --param1=value1 --param2=value2" + ) + + if not input_file and not extra_params: + console.print("⚠️ No input file or extra parameters provided. Running with defaults.") + + # ============================================ + # DISPLAY CONFIGURATION + # ============================================ + + console.print("🚀 RunAgent Configuration:") + + # Connection info + if agent_id: + console.print(f" Agent ID: [cyan]{agent_id}[/cyan]") + else: + console.print(f" Host: [cyan]{host}[/cyan]") + console.print(f" Port: [cyan]{port}[/cyan]") + + # Tag + # mode = "Generic Streaming" if generic_stream else "Generic" + console.print(f" Tag: [magenta]{tag}[/magenta]") + + # Local execution + if local: + console.print(" Local: [green]Yes[/green]") + else: + console.print(" Local: [red]No(Deployed to RunAgent Cloud)[/red]") + + # Timeout + if timeout: + console.print(f" Timeout: [yellow]{timeout}s[/yellow]") + + # Input configuration + if input_file: + console.print(f" Input file: [blue]{input_file}[/blue]") + # Load and validate JSON file here + try: + import json + with open(input_file, 'r') as f: + input_params = json.load(f) + console.print(f" Config keys: [dim]{list(input_params.keys())}[/dim]") + except json.JSONDecodeError: + if os.getenv('DISABLE_TRY_CATCH'): + raise + raise click.ClickException(f"Invalid JSON in input file: {input_file}") + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + raise click.ClickException(f"Error reading input file: {e}") + + elif extra_params: + console.print(" Extra parameters:") + for key, value in extra_params.items(): + # Try to parse value as JSON for complex types + # TODO: Will add type inference later + console.print(f" --{key} = [green]{value}[/green]") + input_params = extra_params + + else: + input_params = {} + + # ============================================ + # EXECUTION LOGIC + # ============================================ + + try: + ra_client = RunAgentClient( + agent_id=agent_id, + local=local, + host=host, + port=port, + entrypoint_tag=tag + ) + + if tag.endswith("_stream"): + for item in ra_client.run(**input_params): + console.print(item) + else: + result = ra_client.run(**input_params) + console.print(result) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + # Display error with red ❌ symbol + console.print(f"❌ [bold red]Execution failed:[/bold red] {e}") + # Exit with error code 1 instead of raising ClickException to avoid duplicate message + import sys + sys.exit(1) diff --git a/runagent/cli/commands/run_stream.py b/runagent/cli/commands/run_stream.py new file mode 100644 index 0000000..65f4982 --- /dev/null +++ b/runagent/cli/commands/run_stream.py @@ -0,0 +1,204 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + +@click.command( + context_settings=dict( + ignore_unknown_options=True, + allow_extra_args=True, + )) +@click.option("--id", "agent_id", help="Agent ID to run") +@click.option("--host", help="Host to connect to (use with --port)") +@click.option("--port", type=int, help="Port to connect to (use with --host)") +@click.option( + "--input", + "input_file", + type=click.Path(exists=True, file_okay=True, dir_okay=False, readable=True, path_type=Path), + help="Path to input JSON file" +) +@click.option("--local", is_flag=True, help="Run agent locally") +@click.option("--tag", required=True, help="Entrypoint tag to be used") +@click.option("--timeout", type=int, help="Timeout in seconds") +@click.pass_context +def run_stream(ctx, agent_id, host, port, input_file, local, tag, timeout): + """ + Stream agent execution results in real-time. + + This command connects to an agent via WebSocket and streams the execution results + as they become available, providing real-time feedback. + + Examples: + # Local streaming agent + runagent run-stream --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal_stream --local --message=something + + # Remote streaming agent + runagent run-stream --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal_stream --message=something + + # With input file + runagent run-stream --id d33c497d-d3f5-462e-8ff4-c28d819b92d6 --tag minimal_stream --local --input config.json + """ + from runagent.cli.branding import print_header + print_header("Stream Agent Output") + + # ============================================ + # PARAMETER PARSING + # ============================================ + + extra_params = {} + for item in ctx.args: + if '=' in item: + key, value = item.split('=', 1) + # Remove leading dashes + key = key.lstrip('-') + extra_params[key] = value + else: + # Handle boolean flags + key = item.lstrip('-') + extra_params[key] = True + + # ============================================ + # VALIDATION + # ============================================ + + # VALIDATION 1: Agent ID or host/port required + if not agent_id and not (host and port): + console.print(f"❌ [bold red]Execution failed:[/bold red] Either --id or both --host and --port are required") + import sys + sys.exit(1) + + # VALIDATION 2: tag validation for streaming + if not tag.endswith("_stream"): + console.print(f"❌ [bold red]Execution failed:[/bold red] Streaming command requires entrypoint tag ending with '_stream'. Got: {tag}") + import sys + sys.exit(1) + + # ============================================ + # DISPLAY CONFIGURATION + # ============================================ + + console.print("🚀 RunAgent Streaming Configuration:") + + # Connection info + if agent_id: + console.print(f" Agent ID: [cyan]{agent_id}[/cyan]") + else: + console.print(f" Host: [cyan]{host}[/cyan]") + console.print(f" Port: [cyan]{port}[/cyan]") + + # Tag + console.print(f" Tag: [magenta]{tag}[/magenta]") + + # Local execution + if local: + console.print(" Local: [green]Yes[/green]") + else: + console.print(" Local: [red]No (Deployed to RunAgent Cloud)[/red]") + + # Timeout + if timeout: + console.print(f" Timeout: [yellow]{timeout}s[/yellow]") + + # Input configuration + if input_file: + console.print(f" Input file: [blue]{input_file}[/blue]") + # Load and validate JSON file here + try: + import json + with open(input_file, 'r') as f: + input_params = json.load(f) + console.print(f" Config keys: [dim]{list(input_params.keys())}[/dim]") + except json.JSONDecodeError: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [bold red]Execution failed:[/bold red] Invalid JSON in input file: {input_file}") + import sys + sys.exit(1) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [bold red]Execution failed:[/bold red] Error reading input file: {e}") + import sys + sys.exit(1) + + elif extra_params: + console.print(" Extra parameters:") + for key, value in extra_params.items(): + console.print(f" --{key} = {value}") + input_params = extra_params + + else: + input_params = {} + + # ============================================ + # EXECUTION LOGIC + # ============================================ + + try: + ra_client = RunAgentClient( + agent_id=agent_id, + local=local, + host=host, + port=port, + entrypoint_tag=tag + ) + + console.print(f"\n🔄 [bold]Starting streaming execution...[/bold]") + console.print(f"📡 [dim]Connected to agent via WebSocket[/dim]") + console.print(f"📤 [dim]Streaming results:[/dim]\n") + + # Stream the results + for chunk in ra_client.run_stream(**input_params): + console.print(chunk) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + # Display error with red ❌ symbol + console.print(f"❌ [bold red]Streaming failed:[/bold red] {e}") + # Exit with error code 1 instead of raising ClickException to avoid duplicate message + import sys + sys.exit(1) + diff --git a/runagent/cli/commands/serve.py b/runagent/cli/commands/serve.py new file mode 100644 index 0000000..72a7843 --- /dev/null +++ b/runagent/cli/commands/serve.py @@ -0,0 +1,222 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + + +@click.command() +@click.option("--port", type=int, help="Preferred port (auto-allocated if unavailable)") +@click.option("--host", default="127.0.0.1", help="Host to bind server to") +@click.option("--debug", is_flag=True, help="Run server in debug mode") +@click.option("--replace", help="Replace existing agent with this agent ID") +@click.option("--no-animation", is_flag=True, help="Skip startup animation") +@click.option("--animation-style", + type=click.Choice(["field", "ascii", "minimal", "quick"]), + default="field", + help="Animation style") +@click.argument( + "path", + type=click.Path( + exists=True, + file_okay=False, + dir_okay=True, + readable=True, + resolve_path=True, + path_type=Path, + ), + default=".", +) +def serve(port, host, debug, replace, no_animation, animation_style, path): + """Start local FastAPI server with subtle robotic runner animation""" + + try: + from runagent.cli.branding import print_header + print_header("Serve Agent Locally") + + # Show subtle startup animation + if not no_animation: + console.print("\n") + + if animation_style == "quick": + show_quick_runner(duration=1.5) + else: + show_subtle_robotic_runner(duration=2.0, style=animation_style) + + sdk = RunAgent() + + # Handle replace operation + if replace: + console.print(f"🔄 [yellow]Replacing agent: {replace}[/yellow]") + + # Check if the agent to replace exists + existing_agent = sdk.db_service.get_agent(replace) + if not existing_agent: + console.print(f"⚠️ [yellow]Agent {replace} not found in database[/yellow]") + console.print("💡 Available agents:") + agents = sdk.db_service.list_agents() + for agent in agents[:5]: # Show first 5 + console.print(f" • {agent['agent_id']} ({agent['framework']})") + raise click.ClickException("Agent to replace not found") + + # Generate new agent ID + import uuid + new_agent_id = str(uuid.uuid4()) + + # Get currently used ports to avoid conflicts + used_ports = [] + all_agents = sdk.db_service.list_agents() + for agent in all_agents: + if agent.get('port') and agent['agent_id'] != replace: # Exclude the agent being replaced + used_ports.append(agent['port']) + + # Allocate host and port + from runagent.utils.port import PortManager + if port and PortManager.is_port_available(host, port): + allocated_host = host + allocated_port = port + console.print(f"🎯 Using specified address: [blue]{allocated_host}:{allocated_port}[/blue]") + else: + allocated_host, allocated_port = PortManager.allocate_unique_address(used_ports) + console.print(f"🔌 Auto-allocated address: [blue]{allocated_host}:{allocated_port}[/blue]") + + # Use the existing replace_agent method with proper port allocation + result = sdk.db_service.replace_agent( + old_agent_id=replace, + new_agent_id=new_agent_id, + agent_path=str(path), + host=allocated_host, + port=allocated_port, # Ensure port is not None + framework=detect_framework(path).value, + ) + + if not result["success"]: + raise click.ClickException(f"Failed to replace agent: {result['error']}") + + console.print(f"✅ [green]Agent replaced successfully![/green]") + console.print(f"🆔 New Agent ID: [bold magenta]{new_agent_id}[/bold magenta]") + console.print(f"🔌 Address: [bold blue]{allocated_host}:{allocated_port}[/bold blue]") + + # Create server with the new agent ID and allocated host/port + from runagent.sdk.db import DBService + db_service = DBService() + + server = LocalServer( + db_service=db_service, + agent_id=new_agent_id, + agent_path=path, + port=allocated_port, + host=allocated_host, + ) + else: + # Normal operation - check capacity if not replacing + capacity_info = sdk.db_service.get_database_capacity_info() + if capacity_info["is_full"] and not replace: + console.print("❌ [red]Database is full![/red]") + oldest_agent = capacity_info.get("oldest_agent", {}) + if oldest_agent: + console.print(f"💡 [yellow]Suggested commands:[/yellow]") + console.print(f" Replace: [cyan]runagent serve {path} --replace {oldest_agent.get('agent_id', '')}[/cyan]") + console.print(f" Delete: [cyan]runagent delete --id {oldest_agent.get('agent_id', '')}[/cyan]") + raise click.ClickException("Database at capacity. Use --replace or use 'runagent delete' to free space.") + + console.print("⚡ [bold]Starting local server with auto port allocation...[/bold]") + + # Use the existing LocalServer.from_path method + server = LocalServer.from_path(path, port=port, host=host) + + # Common server startup code + allocated_host = server.host + allocated_port = server.port + + console.print(f"🌐 URL: [bold blue]http://{allocated_host}:{allocated_port}[/bold blue]") + console.print(f"📖 Docs: [link]http://{allocated_host}:{allocated_port}/docs[/link]") + + try: + + sync_service = get_middleware_sync() + sync_enabled = sync_service.is_sync_enabled() + api_key_set = bool(Config.get_api_key()) + + console.print(f"\n🔄 [bold]Middleware Sync Status:[/bold]") + if sync_enabled: + console.print(f" Status: [green]✅ ENABLED[/green]") + console.print(f" 📊 Local invocations will sync to middleware") + + # Test connection + try: + test_result = sync_service.test_connection() + if test_result.get("success"): + console.print(f" Connection: [green]✅ Connected to middleware[/green]") + else: + console.print(f" Connection: [red]❌ Failed to connect: {test_result.get('error', 'Unknown error')}[/red]") + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f" Connection: [red]❌ Connection test failed: {e}[/red]") + else: + console.print(f" Status: [yellow]⚠️ DISABLED[/yellow]") + if not api_key_set: + console.print(f" Reason: [yellow]API key not configured[/yellow]") + console.print(f" 💡 Setup: [cyan]runagent setup --api-key [/cyan]") + else: + user_disabled = not Config.get_user_config().get("local_sync_enabled", True) + if user_disabled: + console.print(f" Reason: [yellow]Disabled by user[/yellow]") + console.print(f" 💡 Enable: [cyan]runagent local-sync --enable[/cyan]") + console.print(f" 📊 Local invocations will only be stored locally") + + except Exception as e: + console.print(f"[dim]Note: Could not check middleware sync status: {e}[/dim]") + + # Start server (this will block) + server.start(debug=debug) + + except KeyboardInterrupt: + console.print("\n🛑 [yellow]Server stopped by user[/yellow]") + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Server error:[/red] {e}") + raise click.ClickException("Server failed to start") diff --git a/runagent/cli/commands/setup.py b/runagent/cli/commands/setup.py new file mode 100644 index 0000000..2741a7c --- /dev/null +++ b/runagent/cli/commands/setup.py @@ -0,0 +1,238 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +@click.command() +@click.option("--again", is_flag=True, help="Reconfigure even if already setup") +def setup(again): + """ + Setup RunAgent authentication + + \b + First-time setup: + $ runagent setup + + \b + Reconfigure: + $ runagent setup --again + + \b + Change specific settings later: + $ runagent config set-api-key + $ runagent config set-base-url + """ + try: + from runagent.cli.branding import print_setup_banner + from rich.prompt import Prompt, Confirm + from rich.panel import Panel + + sdk = RunAgent() + api_key = Config.get_api_key() + + # Check if already configured + if api_key and not again: + config_status = sdk.get_config_status() + user_email = config_status.get('user_info', {}).get('email', 'N/A') + + console.print(Panel( + "[bold cyan]✅ RunAgent is already configured![/bold cyan]\n\n" + f"[dim]User:[/dim] [green]{user_email}[/green]\n" + f"[dim]Base URL:[/dim] [cyan]{config_status.get('base_url')}[/cyan]\n\n" + "[dim]To reconfigure, run:[/dim] [white]runagent setup --again[/white]\n" + "[dim]To view config:[/dim] [white]runagent config status[/white]", + title="[bold]Already Setup[/bold]", + border_style="cyan" + )) + return + + # Show welcome banner for new setup + if not api_key or again: + if not api_key: + print_setup_banner() + else: + console.print("\n[bold cyan]🔄 Reconfiguring RunAgent[/bold cyan]\n") + + # Show setup method options with arrow-key selection + console.print("[bold cyan]Choose your setup method:[/bold cyan]\n") + + import inquirer + + questions = [ + inquirer.List( + 'setup_method', + message="Select setup method", + choices=[ + ('🪄 Express Setup (Browser login - Coming Soon!)', 'express'), + ('🔑 Manual Setup (Enter API key)', 'manual'), + ], + default=('🔑 Manual Setup (Enter API key)', 'manual'), + carousel=True + ), + ] + + answers = inquirer.prompt(questions) + if not answers: + console.print("[dim]Setup cancelled.[/dim]") + return + + choice = answers['setup_method'] + + if choice == "express": + # Express setup - coming soon + console.print(Panel( + "[bold cyan]🚀 Express Setup - Coming Soon![/bold cyan]\n\n" + "This feature will allow you to authenticate via your browser.\n\n" + "[dim]For now, please use Manual Setup[/dim]\n\n" + "📚 [link=https://docs.runagent.dev/setup]Learn more[/link]", + title="[bold]Feature Preview[/bold]", + border_style="cyan" + )) + + if not Confirm.ask("\n[bold]Continue with Manual Setup?[/bold]", default=True): + console.print("[dim]Setup cancelled.[/dim]") + return + + # Manual setup - prompt for API key + console.print("\n[bold white]📝 Manual Setup[/bold white]\n") + api_key = Prompt.ask( + "[cyan]Enter your API key[/cyan]", + password=True + ) + + if not api_key or not api_key.strip(): + console.print(Panel( + "[red]❌ API key cannot be empty[/red]", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Invalid API key") + + console.print("\n🔑 [cyan]Configuring RunAgent...[/cyan]") + + # Configure SDK with validation + try: + from rich.status import Status + from runagent.constants import DEFAULT_BASE_URL + + # Use default base URL from constants + base_url = Config.get_base_url() or DEFAULT_BASE_URL + + with Status("[bold cyan]Validating credentials...", spinner="dots", console=console) as status: + sdk.configure(api_key=api_key, base_url=base_url, save=True) + + console.print(Panel( + "[bold green]✅ Setup completed successfully![/bold green]\n\n" + "[dim]Your credentials have been saved securely.[/dim]", + title="[bold green]Success[/bold green]", + border_style="green" + )) + except AuthenticationError as auth_err: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Authentication failed:[/red] {auth_err}") + + # Provide specific troubleshooting based on error message + error_msg = str(auth_err).lower() + console.print("\n💡 [yellow]Troubleshooting:[/yellow]") + + if "invalid api key" in error_msg or "not authenticated" in error_msg: + console.print(" • Check that your API key is correct") + console.print(" • Verify the API key is not expired") + console.print(" • Ensure you have access to the middleware") + elif "connection" in error_msg or "timeout" in error_msg: + console.print(" • Check your internet connection") + console.print(" • Verify the middleware server is accessible") + from runagent.constants import DEFAULT_BASE_URL + display_url = base_url if 'base_url' in locals() else DEFAULT_BASE_URL + console.print(f" • Trying to connect to: {display_url}") + else: + console.print(" • Check your API key and network connection") + console.print(" • Contact support if the issue persists") + + raise click.ClickException("Authentication failed") + + # Show user information (from cached data) + config_status = sdk.get_config_status() + user_info = config_status.get('user_info', {}) + + if user_info and user_info.get('email'): + from rich.panel import Panel + from rich.table import Table + + # Create info table + info_table = Table(show_header=False, box=None, padding=(0, 2)) + info_table.add_column("", style="dim", no_wrap=True) + info_table.add_column("", style="cyan") + + info_table.add_row("✉️ Email", user_info.get('email')) + info_table.add_row("🎯 Tier", user_info.get('tier', 'Free')) + + # Show active project + user_config = Config.get_user_config() + active_project = user_config.get('active_project_name') + if active_project: + info_table.add_row("📁 Active Project", active_project) + + console.print(Panel( + info_table, + title="[bold]👤 User Information[/bold]", + border_style="cyan" + )) + + # Show sync status (simplified) + console.print("\n🔄 [bold]Middleware Sync Status:[/bold]") + try: + from runagent.sdk.deployment.middleware_sync import MiddlewareSyncService + sync_service = MiddlewareSyncService(sdk.config) + + if sync_service.is_sync_enabled(): + console.print(" Status: [green]✅ ENABLED[/green]") + console.print(" 📊 Local agent runs will sync to middleware") + else: + console.print(" Status: [yellow]⚠️ DISABLED[/yellow]") + console.print(" 📊 Only local storage will be used") + + except Exception as e: + console.print(f" Status: [yellow]Unknown - {e}[/yellow]") + + # Show next steps - Simple workflow + console.print("\n💡 [bold]Next Steps:[/bold]") + console.print(" 1️⃣ Initialize a new agent: [cyan]runagent init[/cyan]") + console.print(" 2️⃣ Serve it locally: [cyan]runagent serve [/cyan]") + console.print(" 3️⃣ Invoke your agent: [cyan]runagent run --id --tag [/cyan]") + + except AuthenticationError: + # Already handled above + raise + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Setup error:[/red] {e}") + raise click.ClickException("Setup failed") + diff --git a/runagent/cli/commands/start.py b/runagent/cli/commands/start.py new file mode 100644 index 0000000..f292669 --- /dev/null +++ b/runagent/cli/commands/start.py @@ -0,0 +1,101 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + +@click.command() +@click.option("--id", "agent_id", required=True, help="Agent ID to start") +@click.option("--config", help="JSON configuration for deployment") +def start(agent_id, config): + """Start an uploaded agent on remote server""" + + try: + from runagent.cli.branding import print_header + print_header("Start Remote Agent") + + sdk = RunAgent() + + # Check authentication + if not sdk.is_configured(): + console.print( + "❌ [red]Not authenticated.[/red] Run [cyan]'runagent setup --api-key '[/cyan] first" + ) + raise click.ClickException("Authentication required") + + # Parse config + config_dict = {} + if config: + try: + config_dict = json.loads(config) + except json.JSONDecodeError: + if os.getenv('DISABLE_TRY_CATCH'): + raise + raise click.ClickException("Invalid JSON in config parameter") + + console.print(f"🚀 [bold]Starting agent...[/bold]") + console.print(f"🆔 Agent ID: [magenta]{agent_id}[/magenta]") + + # Start agent + result = sdk.start_remote_agent(agent_id, config_dict) + + if result.get("success"): + console.print(f"\n✅ [green]Agent started successfully![/green]") + console.print(f"🌐 Endpoint: [link]{result.get('endpoint')}[/link]") + else: + console.print(f"❌ [red]Start failed:[/red] {format_error_message(result.get('error'))}") + import sys + sys.exit(1) + + except AuthenticationError as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Authentication error:[/red] {e}") + import sys + sys.exit(1) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Start error:[/red] {e}") + import sys + sys.exit(1) diff --git a/runagent/cli/commands/teardown.py b/runagent/cli/commands/teardown.py new file mode 100644 index 0000000..95ff351 --- /dev/null +++ b/runagent/cli/commands/teardown.py @@ -0,0 +1,127 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + +@click.command() +@click.option("--yes", is_flag=True, help="Skip confirmation") +def teardown(yes): + """Complete teardown - Remove RunAgent configuration AND database""" + try: + from runagent.cli.branding import print_header + from rich.panel import Panel + from rich.prompt import Confirm + from runagent.constants import LOCAL_CACHE_DIRECTORY, DATABASE_FILE_NAME + from pathlib import Path + + print_header("Complete Teardown") + + sdk = RunAgent() + + if not yes: + config_status = sdk.get_config_status() + db_stats = sdk.db_service.get_database_stats() + + # Show what will be deleted + console.print(Panel( + "[bold red]⚠️ COMPLETE TEARDOWN[/bold red]\n\n" + "This will permanently delete:\n" + " • All configuration (API key, user info, settings)\n" + " • Complete database (all agents, runs, logs, history)\n" + " • All local agent data\n\n" + "[yellow]This action CANNOT be undone![/yellow]", + title="[bold red]Warning[/bold red]", + border_style="red" + )) + + console.print("\n📊 [bold]Current data:[/bold]") + if config_status.get("configured"): + console.print(f" User: [cyan]{config_status.get('user_info', {}).get('email', 'N/A')}[/cyan]") + console.print(f" Total agents: [yellow]{db_stats.get('total_agents', 0)}[/yellow]") + console.print(f" Total runs: [yellow]{db_stats.get('total_runs', 0)}[/yellow]") + console.print(f" Database size: [yellow]{db_stats.get('database_size_mb', 0)} MB[/yellow]\n") + + if not Confirm.ask( + "[bold red]Are you absolutely sure you want to proceed?[/bold red]", + default=False + ): + console.print("[dim]Teardown cancelled.[/dim]") + return + + # Clear configuration from database + sdk.config.clear() + + # Close database connections + sdk.db_service.close() + + # Delete database file + db_path = Path(LOCAL_CACHE_DIRECTORY) / DATABASE_FILE_NAME + if db_path.exists(): + db_path.unlink() + console.print(f"🗑️ [dim]Deleted database: {db_path}[/dim]") + + # Delete legacy JSON file if exists + json_file = Path(LOCAL_CACHE_DIRECTORY) / "user_data.json" + if json_file.exists(): + json_file.unlink() + console.print(f"🗑️ [dim]Deleted legacy config: {json_file}[/dim]") + + console.print(Panel( + "[bold green]✅ RunAgent teardown completed successfully![/bold green]\n\n" + "All configuration and data have been removed.\n\n" + "[dim]To start fresh, run:[/dim] [cyan]runagent setup[/cyan]", + title="[bold green]Complete[/bold green]", + border_style="green" + )) + + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(Panel( + f"[red]❌ Teardown error:[/red] {str(e)}", + title="[bold red]Error[/bold red]", + border_style="red" + )) + raise click.ClickException("Teardown failed") diff --git a/runagent/cli/commands/upload.py b/runagent/cli/commands/upload.py new file mode 100644 index 0000000..c885f64 --- /dev/null +++ b/runagent/cli/commands/upload.py @@ -0,0 +1,110 @@ +""" +CLI commands that use the restructured SDK internally. +""" +import os +import json +import uuid + +from pathlib import Path + +import click +from rich.console import Console +from rich.table import Table + +from runagent import RunAgent +from runagent.sdk.exceptions import ( # RunAgentError,; ConnectionError + AuthenticationError, + TemplateError, + ValidationError, +) +from runagent.client.client import RunAgentClient +from runagent.sdk.server.local_server import LocalServer +from runagent.utils.agent import detect_framework +from runagent.utils.animation import show_subtle_robotic_runner, show_quick_runner +from runagent.utils.config import Config +from runagent.sdk.deployment.middleware_sync import get_middleware_sync +from runagent.cli.utils import add_framework_options, get_selected_framework +from runagent.utils.enums.framework import Framework +console = Console() + + +def format_error_message(error_info): + """Format error information from API responses""" + if isinstance(error_info, dict) and "message" in error_info: + # New format with ErrorDetail object + error_message = error_info.get("message", "Unknown error") + error_code = error_info.get("code", "UNKNOWN_ERROR") + return f"[{error_code}] {error_message}" + else: + # Fallback to old format for backward compatibility + return str(error_info) if error_info else "Unknown error" + + +# ============================================================================ +# Config Command Group +# ============================================================================ + + +@click.command() +@click.argument( + "path", + type=click.Path( + exists=True, + file_okay=False, + dir_okay=True, + readable=True, + resolve_path=True, + path_type=Path, + ), + default=".", +) +def upload(path: Path): + """Upload agent to remote server""" + + try: + from runagent.cli.branding import print_header + print_header("Upload Agent") + + sdk = RunAgent() + + # Check authentication + if not sdk.is_configured(): + console.print( + "❌ [red]Not authenticated.[/red] Run [cyan]'runagent setup --api-key '[/cyan] first" + ) + raise click.ClickException("Authentication required") + + # Validate folder + if not Path(path).exists(): + raise click.ClickException(f"Folder not found: {path}") + + console.print(f"📤 [bold]Uploading agent...[/bold]") + console.print(f"📁 Source: [cyan]{path}[/cyan]") + + # Upload agent (framework auto-detected) + result = sdk.upload_agent(folder=path) + + if result.get("success"): + agent_id = result["agent_id"] + console.print(f"\n✅ [green]Upload successful![/green]") + console.print(f"🆔 Agent ID: [bold magenta]{agent_id}[/bold magenta]") + console.print(f"\n💡 [bold]Next step:[/bold]") + console.print(f"[cyan]runagent start --id {agent_id}[/cyan]") + else: + console.print(f"❌ [red]Upload failed:[/red] {format_error_message(result.get('error'))}") + import sys + sys.exit(1) + + except AuthenticationError as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Authentication error:[/red] {e}") + import sys + sys.exit(1) + except Exception as e: + if os.getenv('DISABLE_TRY_CATCH'): + raise + console.print(f"❌ [red]Upload error:[/red] {e}") + import sys + sys.exit(1) + diff --git a/runagent/cli/main.py b/runagent/cli/main.py index 62686db..4737586 100644 --- a/runagent/cli/main.py +++ b/runagent/cli/main.py @@ -1,10 +1,25 @@ import os import click import warnings +from rich.console import Console from . import commands from .branding import print_logo + +from .commands.setup import setup as setup_cmd +from .commands.config import config as config_cmd +from .commands.teardown import teardown as teardown_cmd +from .commands.init import init as init_cmd +from .commands.upload import upload as upload_cmd +from .commands.start import start as start_cmd +from .commands.deploy import deploy as deploy_cmd +from .commands.serve import serve as serve_cmd +from .commands.run import run as run_cmd +from .commands.run_stream import run_stream as run_stream_cmd +from .commands.delete import delete as delete_cmd +from .commands.db import db as db_cmd + if not os.getenv('DISABLE_TRY_CATCH'): warnings.filterwarnings( "ignore", @@ -18,10 +33,27 @@ def show_help_with_logo(ctx, param, value): click.echo(ctx.get_help()) ctx.exit() +console = Console() + + +def print_version(ctx, param, value): + """Custom version callback with colored output""" + if not value or ctx.resilient_parsing: + return + try: + from runagent.__version__ import __version__ + from runagent.cli.branding import print_compact_logo + print_compact_logo(brand_color="cyan") + console.print(f"\n[bold white]Version:[/bold white] [bold cyan]{__version__}[/bold cyan]") + console.print(f"[dim]Deploy and manage AI agents with ease 🚀[/dim]\n") + except ImportError: + console.print("[red]runagent version unknown[/red]") + ctx.exit() + @click.group(invoke_without_command=True) @click.option('--help', '-h', is_flag=True, expose_value=False, is_eager=True, callback=show_help_with_logo, help='Show this message and exit') -@click.option('--version', is_flag=True, expose_value=False, is_eager=True, callback=commands.print_version, help='Show version information') +@click.option('--version', is_flag=True, expose_value=False, is_eager=True, callback=print_version, help='Show version information') @click.pass_context def runagent(ctx): """RunAgent CLI - Deploy and manage AI agents easily""" @@ -30,19 +62,18 @@ def runagent(ctx): print_logo(show_tagline=True, brand_color="cyan") click.echo(ctx.get_help()) -runagent.add_command(commands.setup) -runagent.add_command(commands.config) # Config command group -runagent.add_command(commands.teardown) -runagent.add_command(commands.init) -runagent.add_command(commands.template) -runagent.add_command(commands.upload) -runagent.add_command(commands.start) -runagent.add_command(commands.deploy) -runagent.add_command(commands.serve) -runagent.add_command(commands.run) -runagent.add_command(commands.run_stream) -runagent.add_command(commands.delete) -runagent.add_command(commands.db) +runagent.add_command(setup_cmd) +runagent.add_command(config_cmd) +runagent.add_command(teardown_cmd) +runagent.add_command(init_cmd) +runagent.add_command(upload_cmd) +runagent.add_command(start_cmd) +runagent.add_command(deploy_cmd) +runagent.add_command(serve_cmd) +runagent.add_command(run_cmd) +runagent.add_command(run_stream_cmd) +runagent.add_command(delete_cmd) +runagent.add_command(db_cmd) if __name__ == "__main__": runagent() \ No newline at end of file From ada8d127a83d662ceda7f2fce3800cf4567055e3 Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Fri, 24 Oct 2025 19:43:25 +0000 Subject: [PATCH 05/22] adding stock agent example --- examples/Stockagent | 1 + runagent/sdk/socket_client.py | 23 +++++++++++++++++------ 2 files changed, 18 insertions(+), 6 deletions(-) create mode 160000 examples/Stockagent diff --git a/examples/Stockagent b/examples/Stockagent new file mode 160000 index 0000000..9bfc715 --- /dev/null +++ b/examples/Stockagent @@ -0,0 +1 @@ +Subproject commit 9bfc715268312aea2998f2923c928b2ce9a393f9 diff --git a/runagent/sdk/socket_client.py b/runagent/sdk/socket_client.py index eadf2b8..4514d0a 100644 --- a/runagent/sdk/socket_client.py +++ b/runagent/sdk/socket_client.py @@ -33,16 +33,20 @@ async def run_stream_async(self, agent_id: str, entrypoint_tag: str, *input_args """Stream agent execution results (async version)""" uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream?token={self.api_key}" - # if not self.is_local: - # uri = f"{uri}?token={self.api_key}" - async with websockets.connect(uri) as websocket: + async with websockets.connect( + uri, + ping_interval=20, + ping_timeout=60, + close_timeout=10, + max_size=10 * 1024 * 1024 + ) as websocket: # Send start stream request in the exact format required request_data = { "entrypoint_tag": entrypoint_tag, "input_args": input_args, "input_kwargs": input_kwargs, - "timeout_seconds": 60, + "timeout_seconds": 600, "async_execution": False } # Send the request as direct JSON @@ -75,14 +79,21 @@ def run_stream(self, agent_id: str, entrypoint_tag: str, input_args, input_kwarg uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream?token={self.api_key}" - with connect(uri) as websocket: + # Add proper timeout and keepalive settings + with connect( + uri, + ping_interval=20, # Send ping every 20 seconds + ping_timeout=60, # Wait up to 60 seconds for pong + close_timeout=10, # Timeout for closing handshake + max_size=10 * 1024 * 1024 # 10MB max message size + ) as websocket: # Send start stream request in the exact format required request_data = { "entrypoint_tag": entrypoint_tag, "input_args": input_args, "input_kwargs": input_kwargs, - "timeout_seconds": 60, + "timeout_seconds": 600, "async_execution": False } From 9afeb35222699826c8260425c51f4070174e74cf Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Fri, 24 Oct 2025 19:45:45 +0000 Subject: [PATCH 06/22] remove stock agent --- examples/Stockagent | 1 - 1 file changed, 1 deletion(-) delete mode 160000 examples/Stockagent diff --git a/examples/Stockagent b/examples/Stockagent deleted file mode 160000 index 9bfc715..0000000 --- a/examples/Stockagent +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 9bfc715268312aea2998f2923c928b2ce9a393f9 From 5ee29dc368ae96288f032995cd237d85ee510c2d Mon Sep 17 00:00:00 2001 From: Ubuntu Date: Fri, 24 Oct 2025 19:48:37 +0000 Subject: [PATCH 07/22] adding stock agent example --- examples/Stockagent/README.md | 68 + examples/Stockagent/agent.py | 427 ++++ examples/Stockagent/frontend.html | 630 ++++++ examples/Stockagent/log/custom_logger.py | 41 + examples/Stockagent/log/test.txt | 2306 ++++++++++++++++++++ examples/Stockagent/main.py | 208 ++ examples/Stockagent/prompt/agent_prompt.py | 292 +++ examples/Stockagent/record.py | 141 ++ examples/Stockagent/requirements.txt | 58 + examples/Stockagent/res/stocks.xlsx | Bin 0 -> 5404 bytes examples/Stockagent/res/trades.xlsx | Bin 0 -> 5152 bytes examples/Stockagent/runagent.config.json | 32 + examples/Stockagent/runagent_wrapper.py | 374 ++++ examples/Stockagent/secretary.py | 221 ++ examples/Stockagent/stock.py | 31 + examples/Stockagent/test_agent.py | 21 + examples/Stockagent/util.py | 50 + 17 files changed, 4900 insertions(+) create mode 100644 examples/Stockagent/README.md create mode 100644 examples/Stockagent/agent.py create mode 100644 examples/Stockagent/frontend.html create mode 100644 examples/Stockagent/log/custom_logger.py create mode 100644 examples/Stockagent/log/test.txt create mode 100644 examples/Stockagent/main.py create mode 100644 examples/Stockagent/prompt/agent_prompt.py create mode 100644 examples/Stockagent/record.py create mode 100644 examples/Stockagent/requirements.txt create mode 100644 examples/Stockagent/res/stocks.xlsx create mode 100644 examples/Stockagent/res/trades.xlsx create mode 100644 examples/Stockagent/runagent.config.json create mode 100644 examples/Stockagent/runagent_wrapper.py create mode 100644 examples/Stockagent/secretary.py create mode 100644 examples/Stockagent/stock.py create mode 100644 examples/Stockagent/test_agent.py create mode 100644 examples/Stockagent/util.py diff --git a/examples/Stockagent/README.md b/examples/Stockagent/README.md new file mode 100644 index 0000000..0839233 --- /dev/null +++ b/examples/Stockagent/README.md @@ -0,0 +1,68 @@ +# When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments + +![workflow](fig/workflow.png) +![schematic](fig/schematic.png) + +Can AI Agents simulate real-world trading environments to investigate the impact of external factors on stock trading activities (e.g., macroeconomics, policy changes, company fundamentals, and global events)? These factors, which frequently influence trading behaviors, are critical elements in the quest for maximizing investors' profits. Our work attempts to solve this problem through large language model-based agents. We have developed a multi-agent AI system called StockAgent, driven by LLMs, designed to simulate investors' trading behaviors in response to the real stock market. The StockAgent allows users to evaluate the impact of different external factors on investor trading and to analyze trading behavior and profitability effects. Additionally, StockAgent avoids the test set leakage issue present in existing trading simulation systems based on AI Agents. Specifically, it prevents the model from leveraging prior knowledge it may have acquired related to the test data. We evaluate different LLMs under the framework of StockAgent in a stock trading environment that closely resembles real-world conditions. The experimental results demonstrate the impact of key external factors on stock market trading, including trading behavior and stock price fluctuation rules. This research explores the study of agents' free trading gaps in the context of no prior knowledge related to market data. The patterns identified through StockAgent simulations provide valuable insights for LLM-based investment advice and stock recommendation. + +## Link +ARXIV LINK: https://arxiv.org/pdf/2407.18957 +## Architecture +![architect](fig/workflow2.png) + +The Workflow of Trading Simulation Flow. There are four Phases, namely **Initial Phase**, **Trading Phase**, **Post-Trading Phase** and **Special Events Phase**. In the Post-Trading Phase, Daily events and Quarterly events occur with daily and quarterly frequency respectively. A Specific Events Phase is an event that occurs randomly and acts on a random trading day. + +## Quick Start + +#### Environment + +``` +conda create --name stockagent python=3.9 +conda activate stockagent + +git clone https://github.com/dhh1995/PromptCoder +cd PromptCoder +pip install -e . +cd .. + +git clone +cd Stockagent +pip install -r requirements.txt +``` + +#### API keys + +Use GPTs as agent LLM: + +``` +export OPENAI_API_KEY=YOUR_OPENAI_API_KEY +``` + +Use Gemini as agent LLM: + +``` +export GOOGLE_API_KEY=YOUR_GEMINI_API_KEY +``` + +#### Start simulation + +You can choose a basic LLM and start simulation in one line: + +``` +python main.py --model MODEL_NAME +``` + +We set gemini-pro for default LLM. + +#### Citation +If you find the code is valuable, please use this citation. +``` +@article{zhang2024ai, + title={When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments}, + author={Zhang, Chong and Liu, Xinyi and Jin, Mingyu and Zhang, Zhongmou and Li, Lingyao and Wang, Zhengting and Hua, Wenyue and Shu, Dong and Zhu, Suiyuan and Jin, Xiaobo and others}, + journal={arXiv preprint arXiv:2407.18957}, + year={2024} +} +``` + + diff --git a/examples/Stockagent/agent.py b/examples/Stockagent/agent.py new file mode 100644 index 0000000..b3707e7 --- /dev/null +++ b/examples/Stockagent/agent.py @@ -0,0 +1,427 @@ +import math +import time +import openai +import tiktoken +import random +import requests +import google.generativeai as genai + +import util +from log.custom_logger import log + +from prompt.agent_prompt import * +from procoder.functional import format_prompt +from procoder.prompt import * +from secretary import Secretary +from stock import Stock + + +def random_init(stock_a_initial, stock_b_initial): + stock_a, stock_b, cash, debt_amount = 0.0, 0.0, 0.0, 0.0 + while stock_a * stock_a_initial + stock_b * stock_b_initial + cash < util.MIN_INITIAL_PROPERTY \ + or stock_a * stock_a_initial + stock_b * stock_b_initial + cash > util.MAX_INITIAL_PROPERTY \ + or debt_amount > stock_a * stock_a_initial + stock_b * stock_b_initial + cash: + stock_a = int(random.uniform(0, util.MAX_INITIAL_PROPERTY / stock_a_initial)) + stock_b = int(random.uniform(0, util.MAX_INITIAL_PROPERTY / stock_b_initial)) + cash = random.uniform(0, util.MAX_INITIAL_PROPERTY) + debt_amount = random.uniform(0, util.MAX_INITIAL_PROPERTY) + debt = { + "loan": "yes", + "amount": debt_amount, + "loan_type": random.randint(0, len(util.LOAN_TYPE) - 1), + "repayment_date": random.choice(util.REPAYMENT_DAYS) + } + return stock_a, stock_b, cash, debt +# def random_init(stock_initial_price): +# stock, cash, debt_amount = 0.0, 0.0, 0.0 +# while stock * stock_initial_price + cash < util.MIN_INITIAL_PROPERTY \ +# or stock * stock_initial_price + cash > util.MAX_INITIAL_PROPERTY \ +# or debt_amount > stock * stock_initial_price + cash: +# stock = int(random.uniform(0, util.MAX_INITIAL_PROPERTY / stock_initial_price)) +# cash = random.uniform(0, util.MAX_INITIAL_PROPERTY) +# debt_amount = random.uniform(0, util.MAX_INITIAL_PROPERTY) +# debt = { +# "loan": "yes", +# "amount": debt_amount, +# "loan_type": random.randint(0, len(util.LOAN_TYPE)), +# "repayment_date": random.choice(util.REPAYMENT_DAYS) +# } +# return stock, cash, debt + + +class Agent: + def __init__(self, i, stock_a_price, stock_b_price, secretary, model): + self.order = i + self.secretary = secretary + self.model = model + self.character = random.choice(["Conservative", "Aggressive", "Balanced", "Growth-Oriented"]) + + self.stock_a_amount, self.stock_b_amount, self.cash, init_debt = random_init(stock_a_price, stock_b_price) + #self.stock_b_amount = 0 # stock 以手为单位存储，一手=10股，股价其实是一手的价格 + self.init_proper = self.get_total_proper(stock_a_price, stock_b_price) # 初始资产 后续借贷不超过初始资产 + + self.action_history = [[] for _ in range(util.TOTAL_DATE)] + self.chat_history = [] + self.loans = [init_debt] + self.is_bankrupt = False + self.quit = False + + def run_api(self, prompt, temperature: float = 1): + if 'gpt' in self.model: + return self.run_api_gpt(prompt, temperature) + elif 'gemini' in self.model: + return self.run_api_gemini(prompt, temperature) + + def run_api_gemini(self, prompt, temperature: float = 1): + genai.configure(api_key=util.GOOGLE_API_KEY, transport='rest') + generation_config = genai.types.GenerationConfig( + candidate_count=1, + temperature=temperature) + model = genai.GenerativeModel(self.model) + self.chat_history.append({"role": "user", "parts": [prompt]}) + max_retry = 2 + retry = 0 + while retry < max_retry: + try: + response = model.generate_content(contents=self.chat_history, generation_config=generation_config) + new_message_dict = {"role": 'model', "parts": [response.text]} + self.chat_history.append(new_message_dict) + return response.text + except Exception as e: + log.logger.warning("Gemini api retry...{}".format(e)) + retry += 1 + time.sleep(1) + log.logger.error("ERROR: GEMINI API FAILED. SKIP THIS INTERACTION.") + return "" + + + def run_api_gpt(self, prompt, temperature: float = 1): + openai.api_key = util.OPENAI_API_KEY + client = openai.OpenAI(api_key=openai.api_key) + self.chat_history.append({"role": "user", "content": prompt}) + max_retry = 2 + retry = 0 + + # just cut off the overflow tokens + # tokens = encoding.encode(self.chat_history) + + while retry < max_retry: + try: + response = client.chat.completions.create( + model=self.model, + messages=self.chat_history, + temperature=temperature, + ) + new_message_dict = {"role": response.choices[0].message.role, + "content": response.choices[0].message.content} + self.chat_history.append(new_message_dict) + resp = response.choices[0].message.content + return resp + except openai.OpenAIError as e: + log.logger.warning("OpenAI api retry...{}".format(e)) + retry += 1 + time.sleep(1) + log.logger.error("ERROR: OPENAI API FAILED. SKIP THIS INTERACTION.") + return "" + + def get_total_proper(self, stock_a_price, stock_b_price): + return self.stock_a_amount * stock_a_price + self.stock_b_amount * stock_b_price + self.cash + + def get_proper_cash_value(self, stock_a_price, stock_b_price): + proper = self.stock_a_amount * stock_a_price + self.stock_b_amount * stock_b_price + self.cash + a_value = self.stock_a_amount * stock_a_price + b_value = self.stock_b_amount * stock_b_price + return proper, self.cash, a_value, b_value + + def get_total_loan(self): + debt = 0 + for loan in self.loans: + debt += loan["amount"] + return debt + + def plan_loan(self, date, stock_a_price, stock_b_price, lastday_forum_message): + if self.quit: + return {"loan": "no"} + # first day action : prompt with background + if date == 1: + prompt = Collection(BACKGROUND_PROMPT, + LOAN_TYPE_PROMPT, + DECIDE_IF_LOAN_PROMPT).set_indexing_method(sharp2_indexing).set_sep("\n") + max_loan = self.init_proper - self.get_total_loan() + inputs = { + 'date': date, + 'character': self.character, + 'stock_a': self.stock_a_amount, + 'stock_b': self.stock_b_amount, + 'cash': self.cash, + 'debt': self.loans, + 'max_loan': max_loan, + 'loan_rate1': util.LOAN_RATE[0], + 'loan_rate2': util.LOAN_RATE[1], + 'loan_rate3': util.LOAN_RATE[2], + } + + # other days action : prompt with last day forum message & stock price + else: + prompt = Collection(BACKGROUND_PROMPT, + LASTDAY_FORUM_AND_STOCK_PROMPT, + LOAN_TYPE_PROMPT, + DECIDE_IF_LOAN_PROMPT).set_indexing_method(sharp2_indexing).set_sep("\n") + max_loan = self.init_proper - self.get_total_loan() + inputs = { + "date": date, + "character": self.character, + "stock_a": self.stock_a_amount, + "stock_b": self.stock_b_amount, + "cash": self.cash, + "debt": self.loans, + "max_loan": max_loan, + "stock_a_price": stock_a_price, + "stock_b_price": stock_b_price, + "lastday_forum_message": lastday_forum_message, + 'loan_rate1': util.LOAN_RATE[0], + 'loan_rate2': util.LOAN_RATE[1], + 'loan_rate3': util.LOAN_RATE[2], + } + if max_loan <= 0: + return {"loan": "no"} + try_times = 0 + MAX_TRY_TIMES = 3 + resp = self.run_api(format_prompt(prompt, inputs)) + # print(resp) + if resp == "": + return {"loan": "no"} + + loan_format_check, fail_response, loan = self.secretary.check_loan(resp, + max_loan) # secretary check loan format + while not loan_format_check: + # log.logger.debug("WARNING: Loan format check failed because of these issues: {}".format(fail_response)) + try_times += 1 + if try_times > MAX_TRY_TIMES: + log.logger.warning("WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today.") + loan = {"loan": "no"} + break + + resp = self.run_api(format_prompt(LOAN_RETRY_PROMPT, {"fail_response": fail_response})) + if resp == "": + return {"loan": "no"} + loan_format_check, fail_response, loan = self.secretary.check_loan(date, resp) + + if loan["loan"] == "yes": + loan["repayment_date"] = date + util.LOAN_TYPE_DATE[loan["loan_type"]] # add loan repayment_date + self.loans.append(loan) + #self.action_history[date].append(loan) + self.cash += loan["amount"] + log.logger.info("INFO: Agent {} decide to loan: {}".format(self.order, loan)) + else: + log.logger.info("INFO: Agent {} decide not to loan".format(self.order)) + return loan + + # date=交易日, time=当前交易时段 + # 设置 + def plan_stock(self, date, time, stock_a, stock_b, stock_a_deals, stock_b_deals): + if self.quit: + return {"action_type": "no"} + if date in util.SEASON_REPORT_DAYS and time == 1: + index = util.SEASON_REPORT_DAYS.index(date) + prompt = Collection(FIRST_DAY_FINANCIAL_REPORT, FIRST_DAY_BACKGROUND_KNOWLEDGE, SEASONAL_FINANCIAL_REPORT, + DECIDE_BUY_STOCK_PROMPT).set_indexing_method(sharp2_indexing).set_sep("\n") + inputs = { + "date": date, + "time": time, + "stock_a": self.stock_a_amount, + "stock_b": self.stock_b_amount, + "stock_a_price": stock_a.get_price(), + "stock_b_price": stock_b.get_price(), + "stock_a_deals": stock_a_deals, + "stock_b_deals": stock_b_deals, + "cash": self.cash, + "stock_a_report": stock_a.gen_financial_report(index), + "stock_b_report": stock_b.gen_financial_report(index) + } + elif time == 1: + prompt = Collection(FIRST_DAY_FINANCIAL_REPORT, FIRST_DAY_BACKGROUND_KNOWLEDGE, + DECIDE_BUY_STOCK_PROMPT).set_indexing_method(sharp2_indexing).set_sep("\n") + inputs = { + "date": date, + "time": time, + "stock_a": self.stock_a_amount, + "stock_b": self.stock_b_amount, + "stock_a_price": stock_a.get_price(), + "stock_b_price": stock_b.get_price(), + "stock_a_deals": stock_a_deals, + "stock_b_deals": stock_b_deals, + "cash": self.cash + } + else: + prompt = DECIDE_BUY_STOCK_PROMPT + inputs = { + "date": date, + "time": time, + "stock_a": self.stock_a_amount, + "stock_b": self.stock_b_amount, + "stock_a_price": stock_a.get_price(), + "stock_b_price": stock_b.get_price(), + "stock_a_deals": stock_a_deals, + "stock_b_deals": stock_b_deals, + "cash": self.cash + } + + + try_times = 0 + MAX_TRY_TIMES = 3 + resp = self.run_api(format_prompt(prompt, inputs)) + # print(resp) + if resp == "": + return {"action_type": "no"} + + action_format_check, fail_response, action = self.secretary.check_action( + resp, self.cash, self.stock_a_amount, self.stock_b_amount, stock_a.get_price(), stock_b.get_price()) + while not action_format_check: + # log.logger.debug("Action format check failed because of these issues: {}".format(fail_response)) + try_times += 1 + if try_times > MAX_TRY_TIMES: + log.logger.warning("WARNING: Action format try times > MAX_TRY_TIMES. Skip as no loan today.") + action = {"action_type": "no"} + break + + resp = self.run_api(format_prompt(BUY_STOCK_RETRY_PROMPT, {"fail_response": fail_response})) + if resp == "": + return {"action_type": "no"} + action_format_check, fail_response, action = self.secretary.check_action( + resp, self.cash, self.stock_a_amount, self.stock_b_amount, stock_a.get_price(), stock_b.get_price()) + + if action["action_type"] == "buy": + #self.action_history[date].append(action) + log.logger.info("INFO: Agent {} decide to action: {}".format(self.order, action)) + # if action["stock"] == "stock_a": + # self.stock_a_amount += action["amount"] + # self.cash -= action["amount"] * stock_a.get_price() + # else: + # self.stock_b_amount += action["amount"] + # self.cash -= action["amount"] * stock_b.get_price() + return action + elif action["action_type"] == "sell": + #self.action_history[date].append(action) + log.logger.info("INFO: Agent {} decide to action: {}".format(self.order, action)) + # if action["stock"] == "stock_a": + # self.stock_a_amount -= action["amount"] + # self.cash += action["amount"] * stock_a.get_price() + # else: + # self.stock_b_amount -= action["amount"] + # self.cash += action["amount"] * stock_b.get_price() + return action + elif action["action_type"] == "no": + log.logger.info("INFO: Agent {} decide not to action".format(self.order)) + return action + + log.logger.error("ERROR: WRONG ACTION: {}".format(action)) + return {"action_type": "no"} + + def buy_stock(self, stock_name, price, amount): + if self.quit: + return False + if self.cash < price * amount or stock_name not in ['A', 'B']: + log.logger.warning("ILLEGAL STOCK BUY BEHAVIOR: remain cash {}".format(self.cash)) + return False + self.cash -= price * amount + if stock_name == 'A': + self.stock_a_amount += amount + elif stock_name == 'B': + self.stock_b_amount += amount + + return True + + def sell_stock(self, stock_name, price, amount): + if self.quit: + return False + if stock_name == 'B' and self.stock_b_amount < amount: + log.logger.warning("ILLEGAL STOCK SELL BEHAVIOR: remain stock_b {}, amount {}".format(self.stock_b_amount, + amount)) + return False + elif stock_name == 'A' and self.stock_a_amount < amount: + log.logger.warning("ILLEGAL STOCK SELL BEHAVIOR: remain stock_a {}, amount {}".format(self.stock_a_amount, + amount)) + return False + if stock_name == 'A': + self.stock_a_amount -= amount + elif stock_name == 'B': + self.stock_b_amount -= amount + self.cash += price * amount + return True + + def loan_repayment(self, date): + if self.quit: + return + # check是否贷款还款日，还款，破产检查 + for loan in self.loans[:]: + if loan["repayment_date"] == date: + self.cash -= loan["amount"] * (1 + util.LOAN_RATE[loan["loan_type"]]) + self.loans.remove(loan) + if self.cash < 0: + self.is_bankrupt = True + + + def interest_payment(self): + if self.quit: + return + # 贷款付息日付息 + for loan in self.loans: + self.cash -= loan["amount"] * util.LOAN_RATE[loan["loan_type"]] / 12 + if self.cash < 0: + self.is_bankrupt = True + + def bankrupt_process(self, stock_a_price, stock_b_price): + if self.quit: + return False + total_value_of_stock = self.stock_a_amount * stock_a_price + self.stock_b_amount * stock_b_price + if total_value_of_stock + self.cash < 0: + log.logger.warning(f"Agent {self.order} bankrupt. ") + #f"Action history: " + str(self.action_history)) + return True + if stock_a_price * self.stock_a_amount >= -self.cash: + sell_a = math.ceil(-self.cash / stock_a_price) + self.stock_a_amount -= sell_a + self.cash += sell_a * stock_a_price + else: + self.cash += stock_a_price * self.stock_a_amount + self.stock_a_amount = 0 + sell_b = math.ceil(-self.cash / stock_b_price) + self.stock_b_amount -= sell_b + self.cash += sell_b * stock_b_price + + if self.stock_a_amount < 0 or self.stock_b_amount < 0 or self.cash < 0: + raise RuntimeError("ERROR: WRONG BANKRUPT PROCESS") + self.is_bankrupt = False + return False + + def post_message(self): + if self.quit: + return "" + prompt = format_prompt(POST_MESSAGE_PROMPT, inputs={}) + resp = self.run_api(prompt) + return resp + + def next_day_estimate(self): + if self.quit: + return {"buy_A": "no", "buy_B": "no", "sell_A": "no", "sell_B": "no", "loan": "no"} + prompt = format_prompt(NEXT_DAY_ESTIMATE_PROMPT, inputs={}) + resp = self.run_api(prompt) + if resp == "": + return {"buy_A": "no", "buy_B": "no", "sell_A": "no", "sell_B": "no", "loan": "no"} + format_check, fail_response, estimate = self.secretary.check_estimate(resp) + try_times = 0 + MAX_TRY_TIMES = 3 + while not format_check: + try_times += 1 + if try_times > MAX_TRY_TIMES: + log.logger.warning("WARNING: Estimation format try times > MAX_TRY_TIMES. Skip as all 'no' today.") + estimate = {"buy_A": "no", "buy_B": "no", "sell_A": "no", "sell_B": "no", "loan": "no"} + break + resp = self.run_api(format_prompt(NEXT_DAY_ESTIMATE_RETRY, {"fail_response": fail_response})) + if resp == "": + return {"buy_A": "no", "buy_B": "no", "sell_A": "no", "sell_B": "no", "loan": "no"} + format_check, fail_response, estimate = self.secretary.check_estimate(resp) + return estimate + + diff --git a/examples/Stockagent/frontend.html b/examples/Stockagent/frontend.html new file mode 100644 index 0000000..ed53ed8 --- /dev/null +++ b/examples/Stockagent/frontend.html @@ -0,0 +1,630 @@ + + + + + + StockAgent Trading Simulator + + + +
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🎯 StockAgent Trading Simulator

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Multi-Agent LLM-Based Stock Market Simulation

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⚙️ Simulation Configuration

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📈 Simulation Status

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📝 Simulation Logs

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Waiting to start simulation...
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+ + + + \ No newline at end of file diff --git a/examples/Stockagent/log/custom_logger.py b/examples/Stockagent/log/custom_logger.py new file mode 100644 index 0000000..c423d91 --- /dev/null +++ b/examples/Stockagent/log/custom_logger.py @@ -0,0 +1,41 @@ +import logging +from colorama import Fore, Style, Back + +class ColoredFormatter(logging.Formatter): + def format(self, record): + levelname_color = { + 'DEBUG': Fore.CYAN + Style.BRIGHT, + 'INFO': Fore.GREEN + Style.BRIGHT, + 'WARNING': Fore.YELLOW + Style.BRIGHT, + 'ERROR': Fore.RED + Style.BRIGHT, + 'CRITICAL': Fore.RED + Style.BRIGHT, + } + message = super().format(record) + if record.levelname in levelname_color: + message = levelname_color[record.levelname] + message + Style.RESET_ALL + return message + + +class CustomLogger: + def __init__(self): + self.log_file = 'log/test.txt' + self.logger = logging.getLogger('Stocklogger') + self.logger.setLevel(logging.DEBUG) + + # 创建一个handler用于写入日志文件 + file_handler = logging.FileHandler(self.log_file) + file_handler.setLevel(logging.DEBUG) + plain_formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + file_handler.setFormatter(plain_formatter) + + # 创建一个handler用于输出到控制台（带有颜色） + console_handler = logging.StreamHandler() + console_handler.setLevel(logging.DEBUG) + colored_formatter = ColoredFormatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + console_handler.setFormatter(colored_formatter) + + self.logger.addHandler(file_handler) + self.logger.addHandler(console_handler) + + +log = CustomLogger() diff --git a/examples/Stockagent/log/test.txt b/examples/Stockagent/log/test.txt new file mode 100644 index 0000000..3d36cd1 --- /dev/null +++ b/examples/Stockagent/log/test.txt @@ -0,0 +1,2306 @@ +2025-10-24 16:01:06,975 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:01:06,975 - Stocklogger - DEBUG - cash: 2000912.9010808768, stock a: 16319, stock b:37960, debt: [{'loan': 'yes', 'amount': 2457245.72356737, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 16:01:06,975 - Stocklogger - DEBUG - cash: 3406051.8712514797, stock a: 30502, stock b:12714, debt: [{'loan': 'yes', 'amount': 3126925.2067254465, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:01:06,975 - Stocklogger - DEBUG - cash: 2493616.4008787647, stock a: 71183, stock b:2228, debt: [{'loan': 'yes', 'amount': 1126548.1084998674, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:06,975 - Stocklogger - DEBUG - cash: 685371.9156391885, stock a: 10002, stock b:56018, debt: [{'loan': 'yes', 'amount': 1447427.6769661803, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:06,975 - Stocklogger - DEBUG - cash: 1038215.9319146388, stock a: 113103, stock b:3138, debt: [{'loan': 'yes', 'amount': 1661296.989551057, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:01:06,975 - Stocklogger - DEBUG - cash: 351762.02783490426, stock a: 16091, stock b:79435, debt: [{'loan': 'yes', 'amount': 3046867.113718262, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 1888245.8949236819, stock a: 10327, stock b:38953, debt: [{'loan': 'yes', 'amount': 2539684.1551537025, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 738758.3395750547, stock a: 37442, stock b:16356, debt: [{'loan': 'yes', 'amount': 588877.0268161764, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 903846.8053006931, stock a: 9840, stock b:62216, debt: [{'loan': 'yes', 'amount': 272247.0800900984, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 1200063.1459595796, stock a: 49322, stock b:52464, debt: [{'loan': 'yes', 'amount': 2248690.696698797, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 1691016.5817594025, stock a: 23382, stock b:55800, debt: [{'loan': 'yes', 'amount': 3720252.8617382795, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 381567.61739724263, stock a: 60473, stock b:11775, debt: [{'loan': 'yes', 'amount': 706890.974655242, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 1591897.2080128556, stock a: 39833, stock b:53770, debt: [{'loan': 'yes', 'amount': 2592453.6314102993, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 512317.6743849733, stock a: 120357, stock b:17245, debt: [{'loan': 'yes', 'amount': 3298978.1981310975, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 2079073.338761691, stock a: 53506, stock b:4455, debt: [{'loan': 'yes', 'amount': 1985694.0946037376, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:01:06,976 - Stocklogger - DEBUG - cash: 164174.82192236042, stock a: 80068, stock b:12326, debt: [{'loan': 'yes', 'amount': 1465484.5476633466, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:01:06,977 - Stocklogger - DEBUG - cash: 1258500.8148744646, stock a: 88904, stock b:82, debt: [{'loan': 'yes', 'amount': 251836.866664526, 'loan_type': 1, 'repayment_date': 110}] +2025-10-24 16:01:06,977 - Stocklogger - DEBUG - cash: 554365.9271883988, stock a: 80707, stock b:37935, debt: [{'loan': 'yes', 'amount': 68885.58630959607, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:01:06,977 - Stocklogger - DEBUG - cash: 581626.178314395, stock a: 53381, stock b:66540, debt: [{'loan': 'yes', 'amount': 225831.438117875, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:01:06,977 - Stocklogger - DEBUG - cash: 2795238.0381167964, stock a: 6396, stock b:25236, debt: [{'loan': 'yes', 'amount': 1018707.5825887376, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:01:06,977 - Stocklogger - DEBUG - cash: 1501163.0277241573, stock a: 12499, stock b:59083, debt: [{'loan': 'yes', 'amount': 4117594.054122464, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:01:06,977 - Stocklogger - DEBUG - cash: 1131709.6212854034, stock a: 24364, stock b:38388, debt: [{'loan': 'yes', 'amount': 1028053.0988321429, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 16:01:06,977 - Stocklogger - DEBUG - cash: 1488386.895335933, stock a: 57018, stock b:40072, debt: [{'loan': 'yes', 'amount': 2864325.1165557452, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 3118960.4729923964, stock a: 43961, stock b:3507, debt: [{'loan': 'yes', 'amount': 3306277.7691200636, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 3345689.79207097, stock a: 42090, stock b:1505, debt: [{'loan': 'yes', 'amount': 2435801.5242399005, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 983370.8030743587, stock a: 44256, stock b:48426, debt: [{'loan': 'yes', 'amount': 3140128.6205363916, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 2641141.0996722933, stock a: 8952, stock b:41074, debt: [{'loan': 'yes', 'amount': 2644648.182601583, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 474583.873748266, stock a: 22290, stock b:44084, debt: [{'loan': 'yes', 'amount': 1483716.1884894362, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 3378461.255883217, stock a: 5170, stock b:5460, debt: [{'loan': 'yes', 'amount': 3305945.3411300243, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 930518.2335784512, stock a: 28368, stock b:1135, debt: [{'loan': 'yes', 'amount': 1076755.003453944, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 2086016.07393684, stock a: 912, stock b:56287, debt: [{'loan': 'yes', 'amount': 4099283.4300486804, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 1160640.982651459, stock a: 42648, stock b:45833, debt: [{'loan': 'yes', 'amount': 479801.8014833111, 'loan_type': 1, 'repayment_date': 110}] +2025-10-24 16:01:06,978 - Stocklogger - DEBUG - cash: 1724148.288724745, stock a: 50885, stock b:34154, debt: [{'loan': 'yes', 'amount': 2466860.7905180384, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 2010208.553111809, stock a: 10858, stock b:63587, debt: [{'loan': 'yes', 'amount': 1338600.2695924938, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 439688.2534369012, stock a: 22717, stock b:49283, debt: [{'loan': 'yes', 'amount': 2723257.3659007237, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 934343.3464666179, stock a: 122876, stock b:5269, debt: [{'loan': 'yes', 'amount': 380225.68136167503, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 1842545.431433203, stock a: 556, stock b:74041, debt: [{'loan': 'yes', 'amount': 3663408.648505916, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 2086969.5165656733, stock a: 6627, stock b:25840, debt: [{'loan': 'yes', 'amount': 3135920.4672189965, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 3137209.210600154, stock a: 14707, stock b:14249, debt: [{'loan': 'yes', 'amount': 2308494.552392972, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 1677172.31994307, stock a: 35992, stock b:7840, debt: [{'loan': 'yes', 'amount': 2215768.5136948316, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 404120.13235807675, stock a: 59429, stock b:22196, debt: [{'loan': 'yes', 'amount': 2797066.470939952, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 2740665.13351626, stock a: 4524, stock b:40267, debt: [{'loan': 'yes', 'amount': 2058530.0179468675, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 2732821.9780123597, stock a: 41669, stock b:9311, debt: [{'loan': 'yes', 'amount': 1694554.2698690358, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:01:06,979 - Stocklogger - DEBUG - cash: 2938783.324487879, stock a: 7666, stock b:33973, debt: [{'loan': 'yes', 'amount': 786137.115446891, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - cash: 347130.02518974134, stock a: 50732, stock b:21460, debt: [{'loan': 'yes', 'amount': 1986967.7386120055, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - cash: 2108144.5904003354, stock a: 21849, stock b:37594, debt: [{'loan': 'yes', 'amount': 3822317.8379383706, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - cash: 2065479.989068924, stock a: 51412, stock b:9454, debt: [{'loan': 'yes', 'amount': 1189901.0164871477, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - cash: 317190.88872898207, stock a: 42815, stock b:45707, debt: [{'loan': 'yes', 'amount': 3074568.178822307, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - cash: 989100.3255816388, stock a: 58638, stock b:49933, debt: [{'loan': 'yes', 'amount': 2890194.5876025897, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - cash: 650920.7444960513, stock a: 55103, stock b:59125, debt: [{'loan': 'yes', 'amount': 4061441.757320525, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,980 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,981 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,981 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,981 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,981 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,982 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,982 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,982 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,982 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,982 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,983 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,983 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,983 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,983 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,984 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,984 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,984 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,985 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,985 - Stocklogger - INFO - INFO: Agent 10 decide not to loan +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,985 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,985 - Stocklogger - INFO - INFO: Agent 11 decide not to loan +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,985 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,985 - Stocklogger - INFO - INFO: Agent 12 decide not to loan +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,985 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,986 - Stocklogger - INFO - INFO: Agent 13 decide not to loan +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,986 - Stocklogger - INFO - INFO: Agent 14 decide not to loan +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,986 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,986 - Stocklogger - INFO - INFO: Agent 15 decide not to loan +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,986 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,987 - Stocklogger - INFO - INFO: Agent 16 decide not to loan +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,987 - Stocklogger - INFO - INFO: Agent 17 decide not to loan +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,987 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,987 - Stocklogger - INFO - INFO: Agent 18 decide not to loan +2025-10-24 16:01:06,987 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,988 - Stocklogger - INFO - INFO: Agent 19 decide not to loan +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,988 - Stocklogger - INFO - INFO: Agent 20 decide not to loan +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,988 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,988 - Stocklogger - INFO - INFO: Agent 21 decide not to loan +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,989 - Stocklogger - INFO - INFO: Agent 22 decide not to loan +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,989 - Stocklogger - INFO - INFO: Agent 23 decide not to loan +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,989 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,990 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,990 - Stocklogger - INFO - INFO: Agent 24 decide not to loan +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,990 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,990 - Stocklogger - INFO - INFO: Agent 25 decide not to loan +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,990 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,990 - Stocklogger - INFO - INFO: Agent 26 decide not to loan +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,990 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,991 - Stocklogger - INFO - INFO: Agent 27 decide not to loan +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,991 - Stocklogger - INFO - INFO: Agent 28 decide not to loan +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,991 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,991 - Stocklogger - INFO - INFO: Agent 29 decide not to loan +2025-10-24 16:01:06,991 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,992 - Stocklogger - INFO - INFO: Agent 30 decide not to loan +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,992 - Stocklogger - INFO - INFO: Agent 31 decide not to loan +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,992 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,992 - Stocklogger - INFO - INFO: Agent 32 decide not to loan +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,993 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,993 - Stocklogger - INFO - INFO: Agent 33 decide not to loan +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,993 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,993 - Stocklogger - INFO - INFO: Agent 34 decide not to loan +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,993 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,994 - Stocklogger - INFO - INFO: Agent 35 decide not to loan +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,994 - Stocklogger - INFO - INFO: Agent 36 decide not to loan +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,994 - Stocklogger - INFO - INFO: Agent 37 decide not to loan +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,994 - Stocklogger - INFO - INFO: Agent 38 decide not to loan +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,994 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,995 - Stocklogger - INFO - INFO: Agent 39 decide not to loan +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,995 - Stocklogger - INFO - INFO: Agent 40 decide not to loan +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,995 - Stocklogger - INFO - INFO: Agent 41 decide not to loan +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,995 - Stocklogger - INFO - INFO: Agent 42 decide not to loan +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,995 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,995 - Stocklogger - INFO - INFO: Agent 43 decide not to loan +2025-10-24 16:01:06,995 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,996 - Stocklogger - INFO - INFO: Agent 44 decide not to loan +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,996 - Stocklogger - INFO - INFO: Agent 45 decide not to loan +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,996 - Stocklogger - INFO - INFO: Agent 46 decide not to loan +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,996 - Stocklogger - INFO - INFO: Agent 47 decide not to loan +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,996 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,997 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,997 - Stocklogger - INFO - INFO: Agent 48 decide not to loan +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 16:01:06,997 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,997 - Stocklogger - INFO - INFO: Agent 49 decide not to loan +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - SESSION 1 +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,997 - Stocklogger - DEBUG - Wrong json content in response: None +2025-10-24 16:01:06,997 - Stocklogger - WARNING - WARNING: Action format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 16:01:06,997 - Stocklogger - INFO - INFO: Agent 5 decide not to action +2025-10-24 16:01:46,078 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:01:46,078 - Stocklogger - DEBUG - cash: 373650.6281840257, stock a: 8562, stock b:71974, debt: [{'loan': 'yes', 'amount': 393379.9966567142, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 241402.44972598867, stock a: 2869, stock b:110330, debt: [{'loan': 'yes', 'amount': 3587919.5666463315, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 2355978.2095771716, stock a: 29239, stock b:41406, debt: [{'loan': 'yes', 'amount': 806953.6833873591, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 246592.78559864327, stock a: 97837, stock b:29542, debt: [{'loan': 'yes', 'amount': 2612292.006069916, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 2743272.1613059584, stock a: 33810, stock b:8065, debt: [{'loan': 'yes', 'amount': 3886437.10824315, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 1896682.917764469, stock a: 16387, stock b:51514, debt: [{'loan': 'yes', 'amount': 4278859.69823394, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 1607463.1981898812, stock a: 30315, stock b:47886, debt: [{'loan': 'yes', 'amount': 3279629.375595889, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 1185526.2911452674, stock a: 9988, stock b:66106, debt: [{'loan': 'yes', 'amount': 2186251.4824740347, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 784677.7632543045, stock a: 1679, stock b:59223, debt: [{'loan': 'yes', 'amount': 2056317.1522175323, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 1420985.357521466, stock a: 51365, stock b:43730, debt: [{'loan': 'yes', 'amount': 3553084.5086503415, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:01:46,079 - Stocklogger - DEBUG - cash: 513924.2446360565, stock a: 20520, stock b:63188, debt: [{'loan': 'yes', 'amount': 2115963.277558194, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 297805.97994902846, stock a: 6712, stock b:23504, debt: [{'loan': 'yes', 'amount': 130405.48311251732, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 1462754.2470701349, stock a: 20512, stock b:62773, debt: [{'loan': 'yes', 'amount': 2640215.4378540637, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 2625570.59952009, stock a: 31177, stock b:10708, debt: [{'loan': 'yes', 'amount': 2741625.4466739264, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 517183.4801187919, stock a: 80087, stock b:20175, debt: [{'loan': 'yes', 'amount': 2311587.7743840874, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 190820.47460838358, stock a: 50233, stock b:52773, debt: [{'loan': 'yes', 'amount': 1153712.419697656, 'loan_type': 1, 'repayment_date': 110}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 458274.1077175917, stock a: 88567, stock b:20792, debt: [{'loan': 'yes', 'amount': 537239.8099977027, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 651025.957736654, stock a: 13229, stock b:83028, debt: [{'loan': 'yes', 'amount': 2106012.2692034873, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 895104.0363725676, stock a: 48226, stock b:7271, debt: [{'loan': 'yes', 'amount': 1801430.3294217826, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 41151.84400920902, stock a: 114636, stock b:26168, debt: [{'loan': 'yes', 'amount': 322959.3719096091, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 16:01:46,080 - Stocklogger - DEBUG - cash: 245976.44548938258, stock a: 25006, stock b:65069, debt: [{'loan': 'yes', 'amount': 785755.347935212, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 3924098.578536076, stock a: 6529, stock b:20883, debt: [{'loan': 'yes', 'amount': 1199185.2862560577, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 1864032.5792950368, stock a: 67494, stock b:16708, debt: [{'loan': 'yes', 'amount': 2160161.152670085, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 3645132.4369381582, stock a: 26415, stock b:3443, debt: [{'loan': 'yes', 'amount': 2705694.326796012, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 540035.6069702733, stock a: 56663, stock b:39453, debt: [{'loan': 'yes', 'amount': 2591537.9538860195, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 1247005.5196681258, stock a: 88440, stock b:13641, debt: [{'loan': 'yes', 'amount': 2168173.634752199, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 3152942.8976946585, stock a: 38498, stock b:1743, debt: [{'loan': 'yes', 'amount': 1823331.5094606855, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 1812938.17082467, stock a: 8491, stock b:22188, debt: [{'loan': 'yes', 'amount': 514710.7883921204, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 1077479.5470072434, stock a: 45312, stock b:41761, debt: [{'loan': 'yes', 'amount': 754350.1795840418, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 655819.3409927532, stock a: 71240, stock b:27173, debt: [{'loan': 'yes', 'amount': 3846976.516876182, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:01:46,081 - Stocklogger - DEBUG - cash: 1155203.7479417755, stock a: 3481, stock b:65249, debt: [{'loan': 'yes', 'amount': 190679.67763577332, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 7696.716478574616, stock a: 97231, stock b:14333, debt: [{'loan': 'yes', 'amount': 2630983.3009143453, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 1688688.400554284, stock a: 25026, stock b:53274, debt: [{'loan': 'yes', 'amount': 2382144.8613954936, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 405337.29915068706, stock a: 9997, stock b:61975, debt: [{'loan': 'yes', 'amount': 401645.5473985636, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 1184408.963595549, stock a: 64776, stock b:3214, debt: [{'loan': 'yes', 'amount': 1833516.72604896, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 229325.8038933721, stock a: 49082, stock b:52182, debt: [{'loan': 'yes', 'amount': 3060570.751422938, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 388334.3377403364, stock a: 130837, stock b:4591, debt: [{'loan': 'yes', 'amount': 1628491.3062600852, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 2157130.6616506064, stock a: 17795, stock b:56858, debt: [{'loan': 'yes', 'amount': 3421268.9239088586, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 1667411.1280422283, stock a: 43965, stock b:36124, debt: [{'loan': 'yes', 'amount': 1144734.0866081724, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 1807954.2023783473, stock a: 47426, stock b:25492, debt: [{'loan': 'yes', 'amount': 2943916.2474611197, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 1611257.9796971087, stock a: 97258, stock b:2498, debt: [{'loan': 'yes', 'amount': 1560132.5133121153, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 16:01:46,082 - Stocklogger - DEBUG - cash: 818036.7727530879, stock a: 60881, stock b:50743, debt: [{'loan': 'yes', 'amount': 2097181.035490842, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 86543.98272122999, stock a: 157041, stock b:871, debt: [{'loan': 'yes', 'amount': 173851.19564670813, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 1203702.8050833654, stock a: 65968, stock b:20781, debt: [{'loan': 'yes', 'amount': 2543327.978930707, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 907855.0306006272, stock a: 82599, stock b:10086, debt: [{'loan': 'yes', 'amount': 709983.316017187, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 1720741.707021373, stock a: 49222, stock b:33240, debt: [{'loan': 'yes', 'amount': 4187925.8575181155, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 274016.05641823314, stock a: 108771, stock b:5054, debt: [{'loan': 'yes', 'amount': 94739.60824852635, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 242426.06841314962, stock a: 85304, stock b:26285, debt: [{'loan': 'yes', 'amount': 1215167.1959775372, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 508525.1820933023, stock a: 109844, stock b:13694, debt: [{'loan': 'yes', 'amount': 1303598.163459006, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - cash: 2426292.2688790876, stock a: 2712, stock b:44215, debt: [{'loan': 'yes', 'amount': 2326498.794975514, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:01:46,083 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:02:13,866 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:02:13,866 - Stocklogger - DEBUG - cash: 3241305.7616430353, stock a: 9505, stock b:21166, debt: [{'loan': 'yes', 'amount': 2560310.425855771, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 2832435.2892016787, stock a: 969, stock b:14202, debt: [{'loan': 'yes', 'amount': 787973.9544929742, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 369326.11648743117, stock a: 56731, stock b:52949, debt: [{'loan': 'yes', 'amount': 3154064.7257214542, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 544110.1880215015, stock a: 42806, stock b:73956, debt: [{'loan': 'yes', 'amount': 498847.4966436812, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 134498.0148643371, stock a: 48103, stock b:10335, debt: [{'loan': 'yes', 'amount': 754796.2517106105, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 1150947.6745369968, stock a: 37448, stock b:66118, debt: [{'loan': 'yes', 'amount': 132231.59432673547, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 600844.274826663, stock a: 56508, stock b:48434, debt: [{'loan': 'yes', 'amount': 1451109.021552235, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 545933.8472576119, stock a: 64394, stock b:21647, debt: [{'loan': 'yes', 'amount': 2507069.4226144957, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 330349.2237047201, stock a: 77106, stock b:46885, debt: [{'loan': 'yes', 'amount': 2185456.9156079497, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 377771.32687154156, stock a: 107843, stock b:17112, debt: [{'loan': 'yes', 'amount': 1936674.2232387152, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 2610105.132765684, stock a: 20291, stock b:16206, debt: [{'loan': 'yes', 'amount': 3759936.84563272, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:02:13,867 - Stocklogger - DEBUG - cash: 287135.13996835524, stock a: 5158, stock b:49490, debt: [{'loan': 'yes', 'amount': 1234582.4198058592, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 833139.0953374524, stock a: 25751, stock b:23866, debt: [{'loan': 'yes', 'amount': 413344.198761752, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 121342.20616192515, stock a: 94769, stock b:15066, debt: [{'loan': 'yes', 'amount': 1474833.2386400036, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 1446396.6195487422, stock a: 29283, stock b:58741, debt: [{'loan': 'yes', 'amount': 3107495.3802328566, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 1432058.1076891397, stock a: 14382, stock b:41527, debt: [{'loan': 'yes', 'amount': 1117479.5908417378, 'loan_type': 2, 'repayment_date': 198}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 1436571.930304665, stock a: 45005, stock b:28299, debt: [{'loan': 'yes', 'amount': 2265584.205095444, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 3662788.688405949, stock a: 29751, stock b:1498, debt: [{'loan': 'yes', 'amount': 2563099.017452964, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 2693811.0947996466, stock a: 4659, stock b:39164, debt: [{'loan': 'yes', 'amount': 1496645.6781074516, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 434867.0868696569, stock a: 27890, stock b:48698, debt: [{'loan': 'yes', 'amount': 701061.4565175988, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:02:13,868 - Stocklogger - DEBUG - cash: 861586.3225097787, stock a: 28071, stock b:47293, debt: [{'loan': 'yes', 'amount': 1824806.107061645, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:02:13,869 - Stocklogger - DEBUG - cash: 2603623.1442432995, stock a: 7282, stock b:5029, debt: [{'loan': 'yes', 'amount': 2320412.881864917, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:02:13,869 - Stocklogger - DEBUG - cash: 2081160.7587537218, stock a: 27372, stock b:31377, debt: [{'loan': 'yes', 'amount': 3885646.198576778, 'loan_type': 1, 'repayment_date': 110}] +2025-10-24 16:02:13,869 - Stocklogger - DEBUG - cash: 1599498.030754007, stock a: 44029, stock b:10527, debt: [{'loan': 'yes', 'amount': 3132463.781313026, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:02:13,869 - Stocklogger - DEBUG - 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Stocklogger - DEBUG - cash: 938785.6325690935, stock a: 67061, stock b:23498, debt: [{'loan': 'yes', 'amount': 3379907.9567053723, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:02:13,869 - Stocklogger - DEBUG - cash: 2920112.95544967, stock a: 6186, stock b:352, debt: [{'loan': 'yes', 'amount': 2617331.743129435, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:02:13,870 - Stocklogger - DEBUG - cash: 2713728.9603891624, stock a: 58745, stock b:1506, debt: [{'loan': 'yes', 'amount': 2228674.5291780718, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:02:13,870 - Stocklogger - DEBUG - cash: 711018.7283961389, stock a: 47272, stock b:41119, debt: [{'loan': 'yes', 'amount': 688500.9037699802, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:02:13,870 - Stocklogger - DEBUG - cash: 1915227.3097308436, stock a: 3424, stock b:43453, debt: [{'loan': 'yes', 'amount': 1935710.0562703505, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 16:02:13,870 - Stocklogger - DEBUG - 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Stocklogger - DEBUG - cash: 762744.8267264786, stock a: 20719, stock b:57951, debt: [{'loan': 'yes', 'amount': 3144850.145011087, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:02:13,870 - Stocklogger - DEBUG - cash: 1419496.4962941925, stock a: 18299, stock b:57811, debt: [{'loan': 'yes', 'amount': 350051.6942597548, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - cash: 1005449.5745970849, stock a: 56671, stock b:31214, debt: [{'loan': 'yes', 'amount': 127641.33374126186, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - cash: 1023901.1513987512, stock a: 12978, stock b:88138, debt: [{'loan': 'yes', 'amount': 2779779.511352364, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - cash: 441186.63829025015, stock a: 44502, stock b:76726, debt: [{'loan': 'yes', 'amount': 3770768.6189312343, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - cash: 1171282.3210386364, stock a: 51095, stock b:44668, debt: [{'loan': 'yes', 'amount': 2872798.073698214, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - cash: 407827.99805787863, stock a: 50792, stock b:52348, debt: [{'loan': 'yes', 'amount': 2584397.3155022394, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - cash: 362215.28933724045, stock a: 63540, stock b:37169, debt: [{'loan': 'yes', 'amount': 697897.4852055626, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - cash: 1951277.6130588055, stock a: 25507, stock b:29626, debt: [{'loan': 'yes', 'amount': 3422287.040756295, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:02:13,871 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:02:39,741 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:02:39,741 - Stocklogger - DEBUG - cash: 1928822.4034324202, stock a: 11112, stock b:1789, debt: [{'loan': 'yes', 'amount': 1353555.2123407258, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 16:02:39,741 - Stocklogger - DEBUG - cash: 361845.6118707353, stock a: 35895, stock b:85230, debt: [{'loan': 'yes', 'amount': 2314215.76970614, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:02:39,741 - Stocklogger - DEBUG - cash: 733945.2243413575, stock a: 62571, stock b:21572, debt: [{'loan': 'yes', 'amount': 2731073.4008336114, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:02:39,741 - Stocklogger - DEBUG - cash: 1231297.450667259, stock a: 62519, stock b:11515, debt: [{'loan': 'yes', 'amount': 690314.8154552163, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:02:39,741 - Stocklogger - DEBUG - cash: 2477513.3729000464, stock a: 56062, stock b:12956, debt: [{'loan': 'yes', 'amount': 3836402.6562854773, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:02:39,741 - Stocklogger - DEBUG - cash: 1402563.9691401836, stock a: 20334, stock b:14175, debt: [{'loan': 'yes', 'amount': 2224444.169235126, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 1232922.842345564, stock a: 29165, stock b:55507, debt: [{'loan': 'yes', 'amount': 2767306.876232301, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 236880.6695627973, stock a: 46175, stock b:55737, debt: [{'loan': 'yes', 'amount': 562447.8760959578, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 3071607.2950842693, stock a: 5533, stock b:28193, debt: [{'loan': 'yes', 'amount': 470845.1447814238, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 862672.8037234566, stock a: 53466, stock b:52019, debt: [{'loan': 'yes', 'amount': 136308.27773426447, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 3708889.9008733523, stock a: 395, stock b:21041, debt: [{'loan': 'yes', 'amount': 4347568.40526109, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 1589149.391092387, stock a: 37326, stock b:43040, debt: [{'loan': 'yes', 'amount': 2352962.830493251, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 1637881.046243876, stock a: 79417, stock b:1850, debt: [{'loan': 'yes', 'amount': 1951959.3733816599, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 942378.2608059334, stock a: 25213, stock b:32181, debt: [{'loan': 'yes', 'amount': 1188278.8555647694, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 669747.544081728, stock a: 130328, stock b:8912, debt: [{'loan': 'yes', 'amount': 1156979.413412216, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 314951.6772433331, stock a: 9026, stock b:107266, debt: [{'loan': 'yes', 'amount': 1574649.0517644223, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 1393216.0281814076, stock a: 20109, stock b:67953, debt: [{'loan': 'yes', 'amount': 2660009.299148536, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 16:02:39,742 - Stocklogger - DEBUG - cash: 417877.8763099217, stock a: 53308, stock b:70509, debt: [{'loan': 'yes', 'amount': 4453276.269655228, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 3396.7675047863468, stock a: 57566, stock b:64806, debt: [{'loan': 'yes', 'amount': 2679852.7302118903, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 1876539.388673526, stock a: 68904, stock b:15143, debt: [{'loan': 'yes', 'amount': 1702518.6056482494, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 2809379.539712329, stock a: 11579, stock b:36992, debt: [{'loan': 'yes', 'amount': 4236393.538161026, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 1586015.006365451, stock a: 4467, stock b:33863, debt: [{'loan': 'yes', 'amount': 2484411.831169366, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 1338037.0327151692, stock a: 76488, stock b:18417, debt: [{'loan': 'yes', 'amount': 3408258.4264357626, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 332244.1627785383, stock a: 94099, stock b:35292, debt: [{'loan': 'yes', 'amount': 3016161.589419675, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 2285.2583999560807, stock a: 13620, stock b:67694, debt: [{'loan': 'yes', 'amount': 1763823.0358459062, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 2096259.919945081, stock a: 30124, stock b:39428, debt: [{'loan': 'yes', 'amount': 1054117.2070037352, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:02:39,743 - Stocklogger - DEBUG - cash: 3376873.5451470274, stock a: 33424, stock b:3071, debt: [{'loan': 'yes', 'amount': 2157329.0940211066, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 1263239.592453464, stock a: 21265, stock b:64735, debt: [{'loan': 'yes', 'amount': 423557.1320892023, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 442394.47514923924, stock a: 79419, stock b:19099, debt: [{'loan': 'yes', 'amount': 753041.2407047588, 'loan_type': 1, 'repayment_date': 110}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 599404.5701718265, stock a: 89854, stock b:30588, debt: [{'loan': 'yes', 'amount': 416973.7758336245, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 47462.13982629477, stock a: 66100, stock b:71992, debt: [{'loan': 'yes', 'amount': 3801828.2665146706, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 2757536.7475505746, stock a: 17239, stock b:34942, debt: [{'loan': 'yes', 'amount': 4187268.990301033, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 2305475.441287667, stock a: 21188, stock b:46737, debt: [{'loan': 'yes', 'amount': 2739935.8354435484, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 3106332.6122098058, stock a: 50833, stock b:3993, debt: [{'loan': 'yes', 'amount': 456931.0919926589, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 759394.5342260561, stock a: 62891, stock b:37010, debt: [{'loan': 'yes', 'amount': 436736.7129044014, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 189342.83649883143, stock a: 94071, stock b:46533, debt: [{'loan': 'yes', 'amount': 2909925.5973625323, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:02:39,744 - Stocklogger - DEBUG - cash: 2074627.1024490504, stock a: 52798, stock b:1360, debt: [{'loan': 'yes', 'amount': 3214281.8753098696, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - cash: 1399110.5071865073, stock a: 5175, stock b:27125, debt: [{'loan': 'yes', 'amount': 1269482.6829855805, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - cash: 303905.10620089964, stock a: 91376, stock b:18106, debt: [{'loan': 'yes', 'amount': 2795740.8869800502, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - cash: 3097740.766596114, stock a: 13325, stock b:21589, debt: [{'loan': 'yes', 'amount': 3749074.919745185, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - cash: 1701829.3641118214, stock a: 7718, stock b:3571, debt: [{'loan': 'yes', 'amount': 1570709.8944799437, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - cash: 472185.2351556688, stock a: 628, stock b:70587, debt: [{'loan': 'yes', 'amount': 373912.35418813064, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - cash: 855190.8529531471, stock a: 34069, stock b:62470, debt: [{'loan': 'yes', 'amount': 1556687.2506208478, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - cash: 2104471.9774432546, stock a: 73778, stock b:9619, debt: [{'loan': 'yes', 'amount': 2359320.985823238, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:02:39,745 - Stocklogger - DEBUG - 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Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:02:39,746 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:03:08,179 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:03:08,179 - Stocklogger - DEBUG - cash: 2628014.0188357686, stock a: 10327, stock b:51450, debt: [{'loan': 'yes', 'amount': 4644250.344831375, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:03:08,179 - Stocklogger - DEBUG - cash: 1575628.5029605287, stock a: 55775, stock b:19139, debt: [{'loan': 'yes', 'amount': 248107.81677528704, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 1227637.4636867049, stock a: 59483, stock b:23775, debt: [{'loan': 'yes', 'amount': 1296563.5203279573, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 876039.8885004605, stock a: 62761, stock b:9595, debt: [{'loan': 'yes', 'amount': 993297.4995183136, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 2423664.477855701, stock a: 6994, stock b:22976, debt: [{'loan': 'yes', 'amount': 2704921.7909743655, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 2058925.3147623339, stock a: 5385, stock b:59647, debt: [{'loan': 'yes', 'amount': 2474371.3589736633, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 713992.8207120327, stock a: 78841, stock b:23863, debt: [{'loan': 'yes', 'amount': 2277298.0493941354, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 844368.0379330548, stock a: 86290, stock b:4977, debt: [{'loan': 'yes', 'amount': 1645818.8215394858, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 987615.5422011773, stock a: 86530, stock b:5124, debt: [{'loan': 'yes', 'amount': 2195899.0027785487, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 1347021.3634425905, stock a: 46810, stock b:20942, debt: [{'loan': 'yes', 'amount': 774982.5160154855, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 3586417.6998416516, stock a: 41883, stock b:1309, debt: [{'loan': 'yes', 'amount': 4044021.3525270354, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:03:08,180 - Stocklogger - DEBUG - cash: 706319.9926034353, stock a: 45870, stock b:54234, debt: [{'loan': 'yes', 'amount': 2337198.1439261697, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 438575.62570376595, stock a: 72074, stock b:29299, debt: [{'loan': 'yes', 'amount': 1794451.6248822622, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 2236784.1836264594, stock a: 54846, stock b:16176, debt: [{'loan': 'yes', 'amount': 2736779.6910646344, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 446206.26214482874, stock a: 121338, stock b:13651, debt: [{'loan': 'yes', 'amount': 2172631.857682243, 'loan_type': 0, 'repayment_date': 66}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 719374.0988250902, stock a: 21497, stock b:39774, debt: [{'loan': 'yes', 'amount': 1145542.5654920104, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 1207302.9943838913, stock a: 76376, stock b:13328, debt: [{'loan': 'yes', 'amount': 1267120.38334236, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 816314.3075697938, stock a: 71737, stock b:18823, debt: [{'loan': 'yes', 'amount': 894327.6118896615, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 1107587.8722931321, stock a: 2229, stock b:88834, debt: [{'loan': 'yes', 'amount': 3738821.883965082, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 21716.744226327744, stock a: 4303, stock b:72189, debt: [{'loan': 'yes', 'amount': 451868.2694524656, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 421469.52530078887, stock a: 104721, stock b:32170, debt: [{'loan': 'yes', 'amount': 1496311.2565241754, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 287486.30799195654, stock a: 145918, stock b:1639, debt: [{'loan': 'yes', 'amount': 2270831.2720787823, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 316971.3011806985, stock a: 24446, stock b:18812, debt: [{'loan': 'yes', 'amount': 1296399.8888750693, 'loan_type': 1, 'repayment_date': 110}] +2025-10-24 16:03:08,181 - Stocklogger - DEBUG - cash: 2632833.899492248, stock a: 7636, stock b:36647, debt: [{'loan': 'yes', 'amount': 945986.2117676276, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - cash: 1161623.0978763031, stock a: 68785, stock b:27672, debt: [{'loan': 'yes', 'amount': 745326.2318084275, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - cash: 21364.550522861013, stock a: 11743, stock b:34839, debt: [{'loan': 'yes', 'amount': 300190.49708657985, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - cash: 612637.0268820719, stock a: 3703, stock b:67355, debt: [{'loan': 'yes', 'amount': 799038.436524987, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - cash: 1058622.835393662, stock a: 22116, stock b:51633, debt: [{'loan': 'yes', 'amount': 1124803.1466094942, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - cash: 1640874.4919648704, stock a: 92427, stock b:6819, debt: [{'loan': 'yes', 'amount': 3958827.9959644545, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - cash: 292805.3420100607, stock a: 19988, stock b:33463, debt: [{'loan': 'yes', 'amount': 1807345.163207969, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - cash: 658341.1215092916, stock a: 23446, stock b:17238, debt: [{'loan': 'yes', 'amount': 336032.5427131927, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:03:08,182 - Stocklogger - DEBUG - 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Stocklogger - DEBUG - cash: 1391693.4898696076, stock a: 72652, stock b:22587, debt: [{'loan': 'yes', 'amount': 3233433.656341099, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:08,183 - Stocklogger - DEBUG - cash: 1369311.3805324924, stock a: 37955, stock b:37921, debt: [{'loan': 'yes', 'amount': 3380428.454978519, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:03:08,183 - Stocklogger - DEBUG - cash: 445591.1288279618, stock a: 12342, stock b:21094, debt: [{'loan': 'yes', 'amount': 821227.6764383203, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:03:08,183 - Stocklogger - DEBUG - cash: 2053585.3048055856, stock a: 54001, stock b:20496, debt: [{'loan': 'yes', 'amount': 644438.019813347, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:03:08,183 - Stocklogger - DEBUG - cash: 2636859.4626757107, stock a: 33791, stock b:29395, debt: [{'loan': 'yes', 'amount': 1888605.025988991, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:03:08,183 - Stocklogger - DEBUG - cash: 906094.7229950811, stock a: 15254, stock b:45495, debt: [{'loan': 'yes', 'amount': 1281806.7440144627, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:03:08,183 - Stocklogger - DEBUG - cash: 2003.5962026365705, stock a: 29157, stock b:89602, debt: [{'loan': 'yes', 'amount': 2059739.337042018, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - cash: 2446405.2716107606, stock a: 20380, stock b:46685, debt: [{'loan': 'yes', 'amount': 3803692.8822117234, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - cash: 3035444.872180986, stock a: 21826, stock b:9617, debt: [{'loan': 'yes', 'amount': 1718121.5058540478, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - cash: 949853.0306795188, stock a: 12980, stock b:66142, debt: [{'loan': 'yes', 'amount': 1680998.287422193, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - cash: 1272593.154430191, stock a: 72053, stock b:18748, debt: [{'loan': 'yes', 'amount': 4148762.489183309, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - cash: 382586.6763392249, stock a: 35122, stock b:28133, debt: [{'loan': 'yes', 'amount': 1291883.2802241864, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - cash: 20784.725433406482, stock a: 61668, stock b:45837, debt: [{'loan': 'yes', 'amount': 2116301.280517322, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:03:08,184 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:03:42,052 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:03:42,052 - Stocklogger - DEBUG - cash: 164169.43992627776, stock a: 56788, stock b:45620, debt: [{'loan': 'yes', 'amount': 2302979.2312148716, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:03:42,052 - Stocklogger - DEBUG - cash: 147425.03728431277, stock a: 9225, stock b:99296, debt: [{'loan': 'yes', 'amount': 931912.3262590274, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:03:42,052 - Stocklogger - DEBUG - cash: 3094104.8734811316, stock a: 15198, stock b:27234, debt: [{'loan': 'yes', 'amount': 4432112.508195672, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 364325.5214978397, stock a: 19589, stock b:58627, debt: [{'loan': 'yes', 'amount': 2362218.779352973, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 37871.62471707573, stock a: 58514, stock b:58551, debt: [{'loan': 'yes', 'amount': 1537692.652419549, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 205009.80695702997, stock a: 137304, stock b:4590, debt: [{'loan': 'yes', 'amount': 4140968.69933372, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 1556736.2137471747, stock a: 30469, stock b:55214, debt: [{'loan': 'yes', 'amount': 2449404.859397493, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 180167.58321323822, stock a: 36411, stock b:86624, debt: [{'loan': 'yes', 'amount': 3015503.723155795, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 1770587.6965900136, stock a: 4794, stock b:58444, debt: [{'loan': 'yes', 'amount': 93760.32399082024, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 1322091.912241538, stock a: 105750, stock b:4274, debt: [{'loan': 'yes', 'amount': 417399.8263113121, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:03:42,053 - Stocklogger - DEBUG - cash: 572978.7558653044, stock a: 77931, stock b:17302, debt: [{'loan': 'yes', 'amount': 2143016.559448312, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 2920271.412955147, stock a: 9676, stock b:23432, debt: [{'loan': 'yes', 'amount': 1187018.929489086, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 772232.1508928682, stock a: 71384, stock b:47775, debt: [{'loan': 'yes', 'amount': 693721.6729892209, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 831409.7433917978, stock a: 54130, stock b:46613, debt: [{'loan': 'yes', 'amount': 3647464.4809543896, 'loan_type': 1, 'repayment_date': 110}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 1499559.6082636453, stock a: 89634, stock b:50, debt: [{'loan': 'yes', 'amount': 1737644.7280586793, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 1104283.7836374408, stock a: 39041, stock b:47315, debt: [{'loan': 'yes', 'amount': 3465757.199407071, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 1926393.8639541357, stock a: 45280, stock b:7861, debt: [{'loan': 'yes', 'amount': 452395.49322963646, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 2304414.9497516593, stock a: 2652, stock b:845, debt: [{'loan': 'yes', 'amount': 735995.614889367, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 1288298.2748378485, stock a: 57709, stock b:35699, debt: [{'loan': 'yes', 'amount': 1368693.2472897212, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 469753.01202057453, stock a: 48649, stock b:39822, debt: [{'loan': 'yes', 'amount': 1377142.5430046453, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 1132654.4931622462, stock a: 21235, stock b:54255, debt: [{'loan': 'yes', 'amount': 3777183.5273830867, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:03:42,054 - Stocklogger - DEBUG - cash: 1287756.1838525808, stock a: 49462, stock b:33661, debt: [{'loan': 'yes', 'amount': 3416015.933733134, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 3342115.225360849, stock a: 20788, stock b:1151, debt: [{'loan': 'yes', 'amount': 2087875.5291276285, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 1325656.7820787334, stock a: 7996, stock b:30197, debt: [{'loan': 'yes', 'amount': 1733657.9017805692, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 3915096.3153092125, stock a: 16261, stock b:10836, debt: [{'loan': 'yes', 'amount': 1746075.3563335158, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 1345368.125064148, stock a: 10051, stock b:63452, debt: [{'loan': 'yes', 'amount': 568330.3858680138, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 1230358.450502244, stock a: 56372, stock b:27143, debt: [{'loan': 'yes', 'amount': 2261762.2188114845, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 1572463.092586308, stock a: 6094, stock b:46975, debt: [{'loan': 'yes', 'amount': 3402457.106264234, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 740900.8527880656, stock a: 45557, stock b:41248, debt: [{'loan': 'yes', 'amount': 1755039.030827667, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 287849.33975570416, stock a: 10104, stock b:75265, debt: [{'loan': 'yes', 'amount': 634424.9921046047, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 2723749.8841824476, stock a: 11163, stock b:42984, debt: [{'loan': 'yes', 'amount': 1676074.9039477368, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 606541.5780529315, stock a: 97461, stock b:29302, debt: [{'loan': 'yes', 'amount': 3746610.457198696, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:03:42,055 - Stocklogger - DEBUG - cash: 3488191.327772551, stock a: 20446, stock b:7008, debt: [{'loan': 'yes', 'amount': 3111579.4234752296, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 2328407.6037961226, stock a: 64926, stock b:14058, debt: [{'loan': 'yes', 'amount': 3892576.797523147, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 1525115.5244321574, stock a: 85066, stock b:9692, debt: [{'loan': 'yes', 'amount': 738879.1687197338, 'loan_type': 2, 'repayment_date': 198}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 3065964.244959643, stock a: 2471, stock b:46454, debt: [{'loan': 'yes', 'amount': 4705051.91166967, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 1348456.2816599156, stock a: 15458, stock b:63202, debt: [{'loan': 'yes', 'amount': 617432.1558226431, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 387890.34412013646, stock a: 126955, stock b:14706, debt: [{'loan': 'yes', 'amount': 957033.7837665993, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 2655719.5028566434, stock a: 57108, stock b:10030, debt: [{'loan': 'yes', 'amount': 1879918.2143304765, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 1241240.6486391497, stock a: 39953, stock b:37077, debt: [{'loan': 'yes', 'amount': 3660597.4355508103, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 3055113.3510750546, stock a: 5022, stock b:2495, debt: [{'loan': 'yes', 'amount': 1635457.8010551168, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 905489.3965660332, stock a: 52451, stock b:6141, debt: [{'loan': 'yes', 'amount': 1568212.2251023506, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 16:03:42,056 - Stocklogger - DEBUG - cash: 1002691.8234353882, stock a: 10443, stock b:87239, debt: [{'loan': 'yes', 'amount': 4605164.329210034, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - cash: 945616.138451112, stock a: 55741, stock b:30001, debt: [{'loan': 'yes', 'amount': 660279.9804771104, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - cash: 572412.9387488991, stock a: 125989, stock b:15189, debt: [{'loan': 'yes', 'amount': 1273615.9639320916, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - cash: 3358868.820088406, stock a: 24343, stock b:18039, debt: [{'loan': 'yes', 'amount': 1143267.654184012, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - cash: 581015.6847952746, stock a: 135351, stock b:3091, debt: [{'loan': 'yes', 'amount': 3710674.2044452545, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - cash: 2075729.2461682125, stock a: 13049, stock b:56135, debt: [{'loan': 'yes', 'amount': 833882.6435993346, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - cash: 2463967.8883658196, stock a: 47000, stock b:25225, debt: [{'loan': 'yes', 'amount': 974588.5929889287, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - cash: 2370482.8722505243, stock a: 44994, stock b:25442, debt: [{'loan': 'yes', 'amount': 3809096.869968763, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:03:42,057 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:03:42,344 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:43,444 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:44,445 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:44,561 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:45,624 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:46,625 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:46,784 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:47,866 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:48,866 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:48,965 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:50,049 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:51,049 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:51,221 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:52,288 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:53,289 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:53,390 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:54,462 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:55,463 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:55,576 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:56,641 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:57,642 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:57,745 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:58,819 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:03:59,820 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:03:59,926 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:04:01,000 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:04:02,000 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:04:02,279 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:04:03,348 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:04:04,348 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:04:04,451 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:04:05,512 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:04:06,513 - Stocklogger - ERROR - ERROR: OPENAI API FAILED. SKIP THIS INTERACTION. +2025-10-24 16:04:06,624 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:04:07,703 - Stocklogger - WARNING - OpenAI api retry...Error code: 401 - {'error': {'message': "You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.", 'type': 'invalid_request_error', 'param': None, 'code': None}} +2025-10-24 16:05:00,006 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:05:00,007 - Stocklogger - DEBUG - cash: 1988917.0480964796, stock a: 21136, stock b:34884, debt: [{'loan': 'yes', 'amount': 1673170.7586466437, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:05:00,007 - Stocklogger - DEBUG - cash: 1459803.581309611, stock a: 43750, stock b:2873, debt: [{'loan': 'yes', 'amount': 397574.43021949555, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:05:00,007 - Stocklogger - DEBUG - cash: 244183.56880907487, stock a: 80597, stock b:54300, debt: [{'loan': 'yes', 'amount': 1937637.351186417, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:05:00,008 - Stocklogger - DEBUG - cash: 1243171.9624311938, stock a: 50453, stock b:51488, debt: [{'loan': 'yes', 'amount': 52788.80875485448, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:05:00,008 - Stocklogger - DEBUG - cash: 3508409.4973358475, stock a: 17334, stock b:7166, debt: [{'loan': 'yes', 'amount': 2654024.0363341756, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:05:00,008 - Stocklogger - DEBUG - cash: 9095.79506037761, stock a: 17805, stock b:5035, debt: [{'loan': 'yes', 'amount': 259774.0337861626, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:05:00,008 - Stocklogger - DEBUG - cash: 1887657.1429756894, stock a: 52151, stock b:31940, debt: [{'loan': 'yes', 'amount': 1067710.9325647866, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:05:00,008 - Stocklogger - DEBUG - cash: 4030411.1982034235, stock a: 16213, stock b:3332, debt: [{'loan': 'yes', 'amount': 1584628.3357201512, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:05:00,008 - Stocklogger - DEBUG - cash: 945286.2543379775, stock a: 112662, stock b:15436, debt: [{'loan': 'yes', 'amount': 3628426.587963763, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:05:00,008 - Stocklogger - DEBUG - cash: 2117000.5995960594, stock a: 79127, stock b:6032, debt: [{'loan': 'yes', 'amount': 490084.26457937906, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 1044741.6674265697, stock a: 66825, stock b:23264, debt: [{'loan': 'yes', 'amount': 2684270.681079663, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 1932747.0919187772, stock a: 13435, stock b:28825, debt: [{'loan': 'yes', 'amount': 1557687.8489286539, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 499500.7445368155, stock a: 99270, stock b:9346, debt: [{'loan': 'yes', 'amount': 1357654.793854383, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 1147509.9976787146, stock a: 85552, stock b:31860, debt: [{'loan': 'yes', 'amount': 3358846.364683549, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 1250588.7330281434, stock a: 35831, stock b:58907, debt: [{'loan': 'yes', 'amount': 4169876.904271951, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 761008.0676584635, stock a: 96782, stock b:9674, debt: [{'loan': 'yes', 'amount': 3532968.3727121013, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 2051682.696111477, stock a: 31124, stock b:2173, debt: [{'loan': 'yes', 'amount': 1811965.6261296002, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 1527818.1659294765, stock a: 50032, stock b:2892, debt: [{'loan': 'yes', 'amount': 2517934.3182363426, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 467925.4315162273, stock a: 33741, stock b:52345, debt: [{'loan': 'yes', 'amount': 896867.1776059845, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 1472675.1682109507, stock a: 100245, stock b:9007, debt: [{'loan': 'yes', 'amount': 4026302.14034215, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:05:00,009 - Stocklogger - DEBUG - cash: 3094989.873821696, stock a: 24354, stock b:17037, debt: [{'loan': 'yes', 'amount': 3819236.1645509964, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 2478707.864142312, stock a: 15475, stock b:41593, debt: [{'loan': 'yes', 'amount': 3647910.5145067736, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 1355916.5715178112, stock a: 78532, stock b:27755, debt: [{'loan': 'yes', 'amount': 2391101.971838174, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 474870.5771679884, stock a: 49317, stock b:56507, debt: [{'loan': 'yes', 'amount': 1530191.7791637843, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 325090.5521630809, stock a: 94956, stock b:43316, debt: [{'loan': 'yes', 'amount': 2858907.004952354, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 591402.6464781852, stock a: 58753, stock b:21765, debt: [{'loan': 'yes', 'amount': 1279448.8088530176, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 1524487.8217075197, stock a: 30241, stock b:50620, debt: [{'loan': 'yes', 'amount': 3304088.930366407, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 2001887.966356653, stock a: 28496, stock b:19468, debt: [{'loan': 'yes', 'amount': 2558350.8277743096, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 205290.17176719956, stock a: 112057, stock b:5577, debt: [{'loan': 'yes', 'amount': 1253474.9652761235, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 791714.1603169236, stock a: 45010, stock b:53022, debt: [{'loan': 'yes', 'amount': 737252.9683280393, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 358888.4569619416, stock a: 30858, stock b:83258, debt: [{'loan': 'yes', 'amount': 454935.2383744415, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:05:00,010 - Stocklogger - DEBUG - cash: 1050136.9404241107, stock a: 24636, stock b:18264, debt: [{'loan': 'yes', 'amount': 36120.0813065976, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 981889.7327135134, stock a: 2388, stock b:82656, debt: [{'loan': 'yes', 'amount': 36124.22963217732, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 1922667.0487036535, stock a: 45442, stock b:8611, debt: [{'loan': 'yes', 'amount': 2649788.8885399904, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 1612553.1870141434, stock a: 34334, stock b:7508, debt: [{'loan': 'yes', 'amount': 1781377.1240577875, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 176.1241116471357, stock a: 31204, stock b:95813, debt: [{'loan': 'yes', 'amount': 2460392.6112510855, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 397325.3071997634, stock a: 67332, stock b:50214, debt: [{'loan': 'yes', 'amount': 741128.3540101516, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 907931.8167764106, stock a: 86847, stock b:35062, debt: [{'loan': 'yes', 'amount': 462599.48744106217, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 1857178.5631877512, stock a: 55072, stock b:14250, debt: [{'loan': 'yes', 'amount': 1760467.2612432798, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 3398713.249019869, stock a: 38629, stock b:161, debt: [{'loan': 'yes', 'amount': 3891229.1946997982, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 2231675.535563858, stock a: 76578, stock b:6881, debt: [{'loan': 'yes', 'amount': 3129641.473939735, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:05:00,011 - Stocklogger - DEBUG - cash: 322248.68257340224, stock a: 63493, stock b:41877, debt: [{'loan': 'yes', 'amount': 917443.3261516895, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 469199.4238696262, stock a: 1641, stock b:31874, debt: [{'loan': 'yes', 'amount': 1076738.1819282968, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 1332944.8148218382, stock a: 37747, stock b:5011, debt: [{'loan': 'yes', 'amount': 1560644.22479062, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 1630872.3691560244, stock a: 50417, stock b:11093, debt: [{'loan': 'yes', 'amount': 1902464.9271136145, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 147781.4533594052, stock a: 33366, stock b:39431, debt: [{'loan': 'yes', 'amount': 1893381.9318071876, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 852782.9985713775, stock a: 50222, stock b:42021, debt: [{'loan': 'yes', 'amount': 2242479.687765445, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 566597.2020124671, stock a: 54917, stock b:16593, debt: [{'loan': 'yes', 'amount': 2557668.303849497, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 2013155.4959101833, stock a: 25063, stock b:34226, debt: [{'loan': 'yes', 'amount': 706087.9930631475, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - cash: 239320.2815185075, stock a: 8944, stock b:72148, debt: [{'loan': 'yes', 'amount': 1570958.9571100213, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:05:00,012 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:05:01,594 - Stocklogger - INFO - INFO: Agent 0 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2000000, 'repayment_date': 45} +2025-10-24 16:05:03,427 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 16:05:03,891 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 16:05:05,620 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 16:05:07,855 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 16:05:09,141 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 16:05:10,481 - Stocklogger - INFO - INFO: Agent 6 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1000000, 'repayment_date': 45} +2025-10-24 16:05:11,221 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 16:05:12,072 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 16:05:12,735 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 16:05:13,910 - Stocklogger - INFO - INFO: Agent 10 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1295780.986346907, 'repayment_date': 45} +2025-10-24 16:05:15,399 - Stocklogger - INFO - INFO: Agent 11 decide not to loan +2025-10-24 16:05:16,795 - Stocklogger - INFO - INFO: Agent 12 decide not to loan +2025-10-24 16:05:17,293 - Stocklogger - INFO - INFO: Agent 13 decide not to loan +2025-10-24 16:05:18,060 - Stocklogger - INFO - INFO: Agent 14 decide not to loan +2025-10-24 16:05:18,796 - Stocklogger - INFO - INFO: Agent 15 decide not to loan +2025-10-24 16:05:19,477 - Stocklogger - INFO - INFO: Agent 16 decide not to loan +2025-10-24 16:05:20,412 - Stocklogger - INFO - INFO: Agent 17 decide not to loan +2025-10-24 16:05:21,573 - Stocklogger - INFO - INFO: Agent 18 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 500000, 'repayment_date': 45} +2025-10-24 16:05:22,899 - Stocklogger - INFO - INFO: Agent 19 decide not to loan +2025-10-24 16:05:32,103 - Stocklogger - INFO - INFO: Agent 20 decide not to loan +2025-10-24 16:05:32,764 - Stocklogger - INFO - INFO: Agent 21 decide not to loan +2025-10-24 16:05:33,634 - Stocklogger - INFO - INFO: Agent 22 decide not to loan +2025-10-24 16:05:34,421 - Stocklogger - INFO - INFO: Agent 23 decide not to loan +2025-10-24 16:05:36,089 - Stocklogger - INFO - INFO: Agent 24 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2000000, 'repayment_date': 45} +2025-10-24 16:05:37,820 - Stocklogger - INFO - INFO: Agent 25 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 1945143.8376251678, 'repayment_date': 23} +2025-10-24 16:05:38,307 - Stocklogger - INFO - INFO: Agent 26 decide not to loan +2025-10-24 16:05:39,431 - Stocklogger - INFO - INFO: Agent 27 decide not to loan +2025-10-24 16:05:39,938 - Stocklogger - INFO - INFO: Agent 28 decide not to loan +2025-10-24 16:05:40,481 - Stocklogger - INFO - INFO: Agent 29 decide not to loan +2025-10-24 16:05:41,358 - Stocklogger - INFO - INFO: Agent 30 decide not to loan +2025-10-24 16:05:41,889 - Stocklogger - INFO - INFO: Agent 31 decide not to loan +2025-10-24 16:05:42,525 - Stocklogger - INFO - INFO: Agent 32 decide not to loan +2025-10-24 16:05:42,992 - Stocklogger - INFO - INFO: Agent 33 decide not to loan +2025-10-24 16:05:43,549 - Stocklogger - INFO - INFO: Agent 34 decide not to loan +2025-10-24 16:05:44,105 - Stocklogger - INFO - INFO: Agent 35 decide not to loan +2025-10-24 16:05:44,728 - Stocklogger - INFO - INFO: Agent 36 decide not to loan +2025-10-24 16:05:45,607 - Stocklogger - INFO - INFO: Agent 37 decide not to loan +2025-10-24 16:05:46,262 - Stocklogger - INFO - INFO: Agent 38 decide not to loan +2025-10-24 16:05:47,066 - Stocklogger - INFO - INFO: Agent 39 decide not to loan +2025-10-24 16:05:47,629 - Stocklogger - INFO - INFO: Agent 40 decide not to loan +2025-10-24 16:05:48,207 - Stocklogger - INFO - INFO: Agent 41 decide not to loan +2025-10-24 16:05:49,492 - Stocklogger - INFO - INFO: Agent 42 decide not to loan +2025-10-24 16:05:50,629 - Stocklogger - INFO - INFO: Agent 43 decide not to loan +2025-10-24 16:05:51,664 - Stocklogger - INFO - INFO: Agent 44 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1684637.44204241, 'repayment_date': 45} +2025-10-24 16:05:52,415 - Stocklogger - INFO - INFO: Agent 45 decide not to loan +2025-10-24 16:05:54,131 - Stocklogger - INFO - INFO: Agent 46 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 1797803, 'repayment_date': 67} +2025-10-24 16:05:54,844 - Stocklogger - INFO - INFO: Agent 47 decide not to loan +2025-10-24 16:05:55,477 - Stocklogger - INFO - INFO: Agent 48 decide not to loan +2025-10-24 16:05:56,101 - Stocklogger - INFO - INFO: Agent 49 decide not to loan +2025-10-24 16:05:56,101 - Stocklogger - DEBUG - SESSION 1 +2025-10-24 16:05:58,271 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 41} +2025-10-24 16:21:48,855 - Stocklogger - DEBUG - Agents initial... +2025-10-24 16:21:48,856 - Stocklogger - DEBUG - cash: 3648438.6702980977, stock a: 7927, stock b:25249, debt: [{'loan': 'yes', 'amount': 2339455.269618133, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:21:48,856 - Stocklogger - DEBUG - cash: 2491604.387976668, stock a: 12651, stock b:49049, debt: [{'loan': 'yes', 'amount': 336840.712750438, 'loan_type': 0, 'repayment_date': 220}] +2025-10-24 16:21:48,856 - Stocklogger - DEBUG - cash: 310336.0863603588, stock a: 42830, stock b:81270, debt: [{'loan': 'yes', 'amount': 2907246.815329219, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 2810141.658942213, stock a: 32324, stock b:24221, debt: [{'loan': 'yes', 'amount': 1502468.6286202671, 'loan_type': 2, 'repayment_date': 198}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 872798.4911796644, stock a: 33156, stock b:44472, debt: [{'loan': 'yes', 'amount': 3228154.8742705947, 'loan_type': 1, 'repayment_date': 44}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 1032023.3582376787, stock a: 16181, stock b:18663, debt: [{'loan': 'yes', 'amount': 920800.567386914, 'loan_type': 2, 'repayment_date': 154}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 151140.25267346067, stock a: 15388, stock b:66563, debt: [{'loan': 'yes', 'amount': 1933131.2156763892, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 399858.2215775881, stock a: 139294, stock b:3141, debt: [{'loan': 'yes', 'amount': 2297340.0627793334, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 196312.139293377, stock a: 13479, stock b:8182, debt: [{'loan': 'yes', 'amount': 308825.16406163573, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 2590663.772754004, stock a: 31098, stock b:26287, debt: [{'loan': 'yes', 'amount': 4133118.6706156707, 'loan_type': 2, 'repayment_date': 176}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 592962.2762614173, stock a: 19506, stock b:22087, debt: [{'loan': 'yes', 'amount': 500284.485902725, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 3441190.42068338, stock a: 14931, stock b:23878, debt: [{'loan': 'yes', 'amount': 1948510.3901920759, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 16:21:48,857 - Stocklogger - DEBUG - cash: 882913.092719762, stock a: 7655, stock b:23287, debt: [{'loan': 'yes', 'amount': 420784.572522187, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 1610502.4305203536, stock a: 29646, stock b:58545, debt: [{'loan': 'yes', 'amount': 148506.0594122556, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 187695.14877910732, stock a: 12080, stock b:11251, debt: [{'loan': 'yes', 'amount': 415368.67016414844, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 1640436.765145225, stock a: 54522, stock b:6853, debt: [{'loan': 'yes', 'amount': 526778.9636279219, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 673735.5743854617, stock a: 46589, stock b:53366, debt: [{'loan': 'yes', 'amount': 879317.8164614895, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 2066109.6224689519, stock a: 57061, stock b:18918, debt: [{'loan': 'yes', 'amount': 164712.93942827982, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 728901.4168795366, stock a: 132834, stock b:3539, debt: [{'loan': 'yes', 'amount': 4217735.492015767, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 840343.2391352967, stock a: 116495, stock b:12319, debt: [{'loan': 'yes', 'amount': 2199356.476399629, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 529308.9550861946, stock a: 19020, stock b:48264, debt: [{'loan': 'yes', 'amount': 1002078.2117200516, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 2441595.503087133, stock a: 6420, stock b:25731, debt: [{'loan': 'yes', 'amount': 1722243.1682001343, 'loan_type': 0, 'repayment_date': 176}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 2157760.0177429523, stock a: 14848, stock b:59487, debt: [{'loan': 'yes', 'amount': 3284108.7737011993, 'loan_type': 2, 'repayment_date': 198}] +2025-10-24 16:21:48,858 - Stocklogger - DEBUG - cash: 4536272.703214253, stock a: 1076, stock b:5384, debt: [{'loan': 'yes', 'amount': 2661951.090610586, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 1225726.2237234246, stock a: 25481, stock b:65286, debt: [{'loan': 'yes', 'amount': 3403786.1554816053, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 2819613.9206951186, stock a: 65892, stock b:1415, debt: [{'loan': 'yes', 'amount': 3173515.1055531553, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 305736.3637274374, stock a: 30937, stock b:71436, debt: [{'loan': 'yes', 'amount': 1702035.8926571428, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 759427.1273447812, stock a: 41389, stock b:11624, debt: [{'loan': 'yes', 'amount': 406234.27801465994, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 240343.83993055075, stock a: 71024, stock b:64700, debt: [{'loan': 'yes', 'amount': 1004790.8978687653, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 2845462.8827739493, stock a: 13848, stock b:33746, debt: [{'loan': 'yes', 'amount': 3548833.005783274, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 3513633.5715164584, stock a: 25649, stock b:11913, debt: [{'loan': 'yes', 'amount': 3680140.9141911534, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 1745790.165051156, stock a: 40672, stock b:37413, debt: [{'loan': 'yes', 'amount': 2754064.023816813, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 1626813.8696657612, stock a: 59173, stock b:19281, debt: [{'loan': 'yes', 'amount': 1932668.3015953817, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 16:21:48,859 - Stocklogger - DEBUG - cash: 1141810.6815418373, stock a: 22125, stock b:45915, debt: [{'loan': 'yes', 'amount': 3256720.3671193514, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 2973363.344873069, stock a: 2619, stock b:40796, debt: [{'loan': 'yes', 'amount': 3978444.099382567, 'loan_type': 0, 'repayment_date': 110}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 1033992.5728010169, stock a: 62088, stock b:20878, debt: [{'loan': 'yes', 'amount': 531182.234272638, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 203070.74383971223, stock a: 32349, stock b:87539, debt: [{'loan': 'yes', 'amount': 743899.4202183868, 'loan_type': 1, 'repayment_date': 66}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 2384071.724025017, stock a: 70640, stock b:9993, debt: [{'loan': 'yes', 'amount': 2044007.1116374375, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 1806695.7211890954, stock a: 50152, stock b:14318, debt: [{'loan': 'yes', 'amount': 695129.2208495408, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 3218385.898352533, stock a: 6676, stock b:14691, debt: [{'loan': 'yes', 'amount': 133454.30145386027, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 3085373.3218233055, stock a: 12185, stock b:19185, debt: [{'loan': 'yes', 'amount': 1779069.6325731308, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 128903.3746670426, stock a: 7422, stock b:29983, debt: [{'loan': 'yes', 'amount': 856570.4716525812, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 660021.2744014355, stock a: 52493, stock b:42157, debt: [{'loan': 'yes', 'amount': 2899066.090108625, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 45201.601457441895, stock a: 45114, stock b:72575, debt: [{'loan': 'yes', 'amount': 2780512.387305886, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 609648.1887012129, stock a: 21794, stock b:82294, debt: [{'loan': 'yes', 'amount': 2401315.734495465, 'loan_type': 1, 'repayment_date': 88}] +2025-10-24 16:21:48,860 - Stocklogger - DEBUG - cash: 2543137.676586133, stock a: 12078, stock b:2896, debt: [{'loan': 'yes', 'amount': 1436593.8818196545, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 16:21:48,861 - Stocklogger - DEBUG - cash: 697663.8075471892, stock a: 6031, stock b:98870, debt: [{'loan': 'yes', 'amount': 347244.6874638879, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 16:21:48,861 - Stocklogger - DEBUG - cash: 5503.703516432923, stock a: 53758, stock b:52145, debt: [{'loan': 'yes', 'amount': 3047837.8812143365, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 16:21:48,861 - Stocklogger - DEBUG - cash: 451685.2770596008, stock a: 37200, stock b:48469, debt: [{'loan': 'yes', 'amount': 2909867.667041817, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 16:21:48,861 - Stocklogger - DEBUG - cash: 1476804.8793899608, stock a: 90921, stock b:17837, debt: [{'loan': 'yes', 'amount': 4758538.943431102, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 16:21:48,861 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 16:21:48,861 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 16:21:49,805 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 16:21:50,994 - Stocklogger - INFO - INFO: Agent 1 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 1000000, 'repayment_date': 67} +2025-10-24 16:21:51,917 - Stocklogger - INFO - INFO: Agent 2 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 1938789.2710311394, 'repayment_date': 67} +2025-10-24 16:21:53,803 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 16:21:54,362 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 16:21:55,105 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 16:21:55,762 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 16:21:58,388 - Stocklogger - INFO - INFO: Agent 7 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2400000, 'repayment_date': 45} +2025-10-24 16:21:59,386 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 16:21:59,967 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 16:22:01,343 - Stocklogger - INFO - INFO: Agent 10 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 1561337.7903586922, 'repayment_date': 23} +2025-10-24 16:22:01,898 - Stocklogger - INFO - INFO: Agent 11 decide not to loan +2025-10-24 16:22:02,665 - Stocklogger - INFO - INFO: Agent 12 decide not to loan +2025-10-24 16:22:03,685 - Stocklogger - INFO - INFO: Agent 13 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 100000, 'repayment_date': 45} +2025-10-24 16:22:04,251 - Stocklogger - INFO - INFO: Agent 14 decide not to loan +2025-10-24 16:22:04,925 - Stocklogger - INFO - INFO: Agent 15 decide not to loan +2025-10-24 16:22:05,385 - Stocklogger - INFO - INFO: Agent 16 decide not to loan +2025-10-24 16:22:06,257 - Stocklogger - INFO - INFO: Agent 17 decide not to loan +2025-10-24 16:22:06,796 - Stocklogger - INFO - INFO: Agent 18 decide not to loan +2025-10-24 16:22:07,969 - Stocklogger - INFO - INFO: Agent 19 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 2628596.762735668, 'repayment_date': 67} +2025-10-24 16:22:08,919 - Stocklogger - INFO - INFO: Agent 20 decide not to loan +2025-10-24 16:22:09,484 - Stocklogger - INFO - INFO: Agent 21 decide not to loan +2025-10-24 16:22:10,098 - Stocklogger - INFO - INFO: Agent 22 decide not to loan +2025-10-24 16:22:10,819 - Stocklogger - INFO - INFO: Agent 23 decide not to loan +2025-10-24 16:22:11,341 - Stocklogger - INFO - INFO: Agent 24 decide not to loan +2025-10-24 16:22:11,921 - Stocklogger - INFO - INFO: Agent 25 decide not to loan +2025-10-24 16:22:12,561 - Stocklogger - INFO - INFO: Agent 26 decide not to loan +2025-10-24 16:22:13,265 - Stocklogger - INFO - INFO: Agent 27 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 16:22:13,871 - Stocklogger - INFO - INFO: Agent 28 decide not to loan +2025-10-24 16:22:14,410 - Stocklogger - INFO - INFO: Agent 29 decide not to loan +2025-10-24 16:22:15,607 - Stocklogger - INFO - INFO: Agent 30 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1079482.6573253046, 'repayment_date': 45} +2025-10-24 16:22:16,198 - Stocklogger - INFO - INFO: Agent 31 decide not to loan +2025-10-24 16:22:16,979 - Stocklogger - INFO - INFO: Agent 32 decide not to loan +2025-10-24 16:22:17,488 - Stocklogger - INFO - INFO: Agent 33 decide not to loan +2025-10-24 16:22:18,416 - Stocklogger - INFO - INFO: Agent 34 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 705329.2454905016, 'repayment_date': 23} +2025-10-24 16:22:19,223 - Stocklogger - INFO - INFO: Agent 35 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 3200570.338528379, 'repayment_date': 23} +2025-10-24 16:22:20,010 - Stocklogger - INFO - INFO: Agent 36 decide not to loan +2025-10-24 16:22:21,157 - Stocklogger - INFO - INFO: Agent 37 decide not to loan +2025-10-24 16:22:22,242 - Stocklogger - INFO - INFO: Agent 38 decide not to loan +2025-10-24 16:22:22,667 - Stocklogger - INFO - INFO: Agent 39 decide not to loan +2025-10-24 16:22:23,672 - Stocklogger - INFO - INFO: Agent 40 decide not to loan +2025-10-24 16:22:24,267 - Stocklogger - INFO - INFO: Agent 41 decide not to loan +2025-10-24 16:22:24,816 - Stocklogger - INFO - INFO: Agent 42 decide not to loan +2025-10-24 16:22:25,323 - Stocklogger - INFO - INFO: Agent 43 decide not to loan +2025-10-24 16:22:25,848 - Stocklogger - INFO - INFO: Agent 44 decide not to loan +2025-10-24 16:22:26,782 - Stocklogger - INFO - INFO: Agent 45 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1500000, 'repayment_date': 45} +2025-10-24 16:22:27,272 - Stocklogger - INFO - INFO: Agent 46 decide not to loan +2025-10-24 16:22:27,817 - Stocklogger - INFO - INFO: Agent 47 decide not to loan +2025-10-24 16:22:28,456 - Stocklogger - INFO - INFO: Agent 48 decide not to loan +2025-10-24 16:22:29,165 - Stocklogger - INFO - INFO: Agent 49 decide not to loan +2025-10-24 16:22:29,165 - Stocklogger - DEBUG - SESSION 1 +2025-10-24 16:22:30,025 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 1000, 'price': 41} +2025-10-24 16:22:31,200 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 2000, 'price': 31} +2025-10-24 16:22:32,308 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 2000, 'price': 31} +2025-10-24 16:22:33,883 - Stocklogger - INFO - INFO: Agent 33 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4000, 'price': 31.5} +2025-10-24 16:22:34,823 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4000, 'price': 31.5} +2025-10-24 16:22:35,747 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 31.5} +2025-10-24 16:22:36,569 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32} +2025-10-24 16:22:38,378 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32} +2025-10-24 16:22:39,002 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4000, 'price': 32} +2025-10-24 16:22:40,206 - Stocklogger - DEBUG - Sell more than hold: ```json +{"action_type":"sell", "stock":"A", "amount":4000, "price":32} +``` +2025-10-24 16:22:40,888 - Stocklogger - INFO - INFO: Agent 23 decide not to action +2025-10-24 16:22:41,717 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32} +2025-10-24 16:22:42,862 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32} +2025-10-24 16:22:43,966 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32} +2025-10-24 16:22:45,698 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32} +2025-10-24 16:22:46,740 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 16:22:47,584 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 16:22:48,514 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 16:22:49,525 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 16:22:52,176 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:22:53,039 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:22:54,543 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:22:55,452 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:22:57,789 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:22:59,305 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 16:23:00,428 - Stocklogger - INFO - INFO: Agent 49 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:23:01,805 - Stocklogger - INFO - INFO: Agent 40 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:23:03,771 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 16:23:04,880 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:23:06,001 - Stocklogger - INFO - INFO: Agent 19 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 12000, 'price': 33} +2025-10-24 16:23:07,064 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:23:08,048 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:09,197 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 12000, 'price': 33} +2025-10-24 16:23:10,226 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 12000, 'price': 33.5} +2025-10-24 16:23:11,289 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 12000, 'price': 33.5} +2025-10-24 16:23:12,261 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:23:13,838 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:14,730 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:23:15,988 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:17,153 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:17,980 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:19,130 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:20,800 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:23:22,718 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:24,064 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:25,463 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 12000, 'price': 33.5} +2025-10-24 16:23:26,669 - Stocklogger - DEBUG - Sell more than hold: ```json +{"action_type": "sell", "stock": "A", "amount": 12000, "price": 34} +``` +2025-10-24 16:23:27,497 - Stocklogger - INFO - INFO: Agent 34 decide not to action +2025-10-24 16:23:28,597 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 12000, 'price': 33.5} +2025-10-24 16:23:30,053 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:30,945 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:31,973 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:23:31,996 - Stocklogger - DEBUG - SESSION 2 +2025-10-24 16:23:35,763 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 2000, 'price': 42} +2025-10-24 16:23:38,067 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:23:40,107 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 41} +2025-10-24 16:23:42,160 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 33.5} +2025-10-24 16:23:43,653 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 41} +2025-10-24 16:23:46,461 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 43} +2025-10-24 16:23:48,228 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 2000, 'price': 43} +2025-10-24 16:23:50,694 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 2000, 'price': 42} +2025-10-24 16:23:55,099 - Stocklogger - DEBUG - Buy more than cash: ```json +{"action_type": "buy", "stock": "B", "amount": 1000, "price": 42} +``` +2025-10-24 16:23:58,204 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41} +2025-10-24 16:23:59,231 - Stocklogger - INFO - INFO: Agent 19 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:00,347 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:01,779 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:03,088 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 2000, 'price': 43} +2025-10-24 16:24:04,892 - Stocklogger - INFO - INFO: Agent 40 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 2000, 'price': 42} +2025-10-24 16:24:06,074 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:07,197 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:09,474 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:10,754 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:12,993 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:13,835 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:14,822 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:15,838 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:17,476 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:19,003 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:19,953 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:20,952 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:21,831 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:22,797 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:23,951 - Stocklogger - DEBUG - Buy more than cash: ```json +{"action_type": "buy", "stock": "B", "amount": 3000, "price": 42} +``` +2025-10-24 16:24:26,561 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 1000, 'price': 41} +2025-10-24 16:24:28,716 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:30,416 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:33,600 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:36,192 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:37,742 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 500, 'price': 33} +2025-10-24 16:24:39,116 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:40,153 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 2000, 'price': 42} +2025-10-24 16:24:42,585 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:44,127 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:45,749 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:46,974 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:48,049 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:49,315 - Stocklogger - INFO - INFO: Agent 33 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 43} +2025-10-24 16:24:52,261 - Stocklogger - INFO - INFO: Agent 49 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:53,634 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:54,788 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:55,873 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:24:57,117 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:00,017 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:01,152 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:25:03,717 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:03,751 - Stocklogger - DEBUG - SESSION 3 +2025-10-24 16:25:07,055 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 33.5} +2025-10-24 16:25:08,350 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4000, 'price': 33.5} +2025-10-24 16:25:09,632 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:11,015 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4000, 'price': 33.5} +2025-10-24 16:25:12,124 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:25:21,136 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:27,642 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:25:29,081 - Stocklogger - INFO - INFO: Agent 49 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:25:31,648 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:33,781 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 33.5} +2025-10-24 16:25:35,106 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 4000, 'price': 42} +2025-10-24 16:25:36,976 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:25:42,095 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41} +2025-10-24 16:25:44,089 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:25:45,882 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 7000, 'price': 33.5} +2025-10-24 16:25:47,779 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33} +2025-10-24 16:25:49,112 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:50,385 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:51,624 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:25:55,413 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 2000, 'price': 43} +2025-10-24 16:25:55,446 - Stocklogger - INFO - ACTION - BUY:4, SELL:20, STOCK:B, PRICE:43, AMOUNT:2000 +2025-10-24 16:25:56,939 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:26:00,313 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 33.5} +2025-10-24 16:26:01,696 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:26:03,894 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:26:04,985 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:26:06,868 - Stocklogger - INFO - INFO: Agent 19 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 12000, 'price': 33.5} +2025-10-24 16:26:08,842 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:26:13,125 - Stocklogger - DEBUG - Sell more than hold: {"action_type": "sell", "stock": "A", "amount": 8000, "price": 33.5} +2025-10-24 16:26:14,174 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:26:22,286 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 33.5} +2025-10-24 16:26:32,321 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 34} +2025-10-24 16:26:41,473 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:26:43,386 - Stocklogger - INFO - INFO: Agent 33 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 3000, 'price': 43} +2025-10-24 16:26:43,425 - Stocklogger - INFO - ACTION - BUY:4, SELL:33, STOCK:B, PRICE:43, AMOUNT:1000 +2025-10-24 16:26:43,432 - Stocklogger - INFO - ACTION - BUY:15, SELL:33, STOCK:B, PRICE:43, AMOUNT:2000 +2025-10-24 16:26:48,942 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 34} +2025-10-24 16:26:53,267 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 34} +2025-10-24 16:26:54,368 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 500, 'price': 33} +2025-10-24 16:26:55,746 - Stocklogger - INFO - INFO: Agent 40 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:27:03,931 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 34} +2025-10-24 16:27:05,403 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 1000, 'price': 41} +2025-10-24 16:27:16,222 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:27:18,268 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 34} +2025-10-24 16:27:19,451 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 34} +2025-10-24 16:27:23,062 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:27:24,143 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 34} +2025-10-24 16:27:29,323 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 34} +2025-10-24 16:27:30,496 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4000, 'price': 34} +2025-10-24 16:27:31,968 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:27:33,429 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:27:40,882 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 3000, 'price': 44} +2025-10-24 16:27:50,746 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4000, 'price': 34} +2025-10-24 16:27:52,147 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 3000, 'price': 42} +2025-10-24 16:27:53,638 - Stocklogger - INFO - Agent 0 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:27:54,702 - Stocklogger - INFO - Agent 1 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:00,076 - Stocklogger - INFO - Agent 2 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:01,497 - Stocklogger - INFO - Agent 3 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:02,867 - Stocklogger - INFO - Agent 4 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'yes', 'loan': 'no'} +2025-10-24 16:28:09,291 - Stocklogger - INFO - Agent 5 tomorrow estimation: {'buy_A': 'yes', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'yes', 'loan': 'no'} +2025-10-24 16:28:10,961 - Stocklogger - INFO - Agent 6 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:17,505 - Stocklogger - INFO - Agent 7 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:19,001 - Stocklogger - INFO - Agent 8 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:20,343 - Stocklogger - INFO - Agent 9 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:21,754 - Stocklogger - INFO - Agent 10 tomorrow estimation: {'buy_A': 'yes', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'yes'} +2025-10-24 16:28:31,751 - Stocklogger - INFO - Agent 11 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'no', 'sell_B': 'yes', 'loan': 'no'} +2025-10-24 16:28:32,930 - Stocklogger - INFO - Agent 12 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:34,799 - Stocklogger - INFO - Agent 13 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:38,967 - Stocklogger - INFO - Agent 14 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:44,126 - Stocklogger - INFO - Agent 15 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:47,934 - Stocklogger - INFO - Agent 16 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:51,738 - Stocklogger - INFO - Agent 17 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:52,765 - Stocklogger - INFO - Agent 18 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:28:53,803 - Stocklogger - INFO - Agent 19 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:04,092 - Stocklogger - INFO - Agent 20 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:05,086 - Stocklogger - INFO - Agent 21 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:07,052 - Stocklogger - INFO - Agent 22 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:08,532 - Stocklogger - INFO - Agent 23 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:15,702 - Stocklogger - INFO - Agent 24 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:17,658 - Stocklogger - INFO - Agent 25 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:19,432 - Stocklogger - INFO - Agent 26 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:20,654 - Stocklogger - INFO - Agent 27 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:22,618 - Stocklogger - INFO - Agent 28 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:32,491 - Stocklogger - INFO - Agent 29 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:33,521 - Stocklogger - INFO - Agent 30 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:34,486 - Stocklogger - INFO - Agent 31 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:40,026 - Stocklogger - INFO - Agent 32 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:41,181 - Stocklogger - INFO - Agent 33 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:48,900 - Stocklogger - INFO - Agent 34 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:50,330 - Stocklogger - INFO - Agent 35 tomorrow estimation: {'buy_A': 'yes', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:51,665 - Stocklogger - INFO - Agent 36 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:29:58,222 - Stocklogger - INFO - Agent 37 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:06,064 - Stocklogger - INFO - Agent 38 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:07,358 - Stocklogger - INFO - Agent 39 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:08,722 - Stocklogger - INFO - Agent 40 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:09,598 - Stocklogger - INFO - Agent 41 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:17,318 - Stocklogger - INFO - Agent 42 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:18,623 - Stocklogger - INFO - Agent 43 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:20,286 - Stocklogger - INFO - Agent 44 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:21,844 - Stocklogger - INFO - Agent 45 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:23,701 - Stocklogger - INFO - Agent 46 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:25,495 - Stocklogger - INFO - Agent 47 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:30,629 - Stocklogger - INFO - Agent 48 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:34,790 - Stocklogger - INFO - Agent 49 tomorrow estimation: {'buy_A': 'no', 'buy_B': 'yes', 'sell_A': 'yes', 'sell_B': 'no', 'loan': 'no'} +2025-10-24 16:30:34,810 - Stocklogger - DEBUG - DAY 1 ends, display forum messages... +2025-10-24 16:30:38,076 - Stocklogger - INFO - Agent 0 says: **Trading Tips for Today:** + +1. **Market Overview:** The market has shown significant fluctuations today, particularly in technology stocks, which may affect future price movements. Keep an eye on Company B, as it is expected to rebound with strong buying interest. + +2. **Stock A:** Despite recent sell-offs, I believe Company A remains a stable long-term investment. However, short-term traders may want to take advantage of price increase opportunities. + +3. **Stock B:** With the projected revenue growth and the recent positive corporate news, it could be a good time to accumulate shares while prices are still reasonable. + +4. **Loan Decisions:** For conservative investors, avoiding loans may provide a safer strategy during uncertain times. Focus on trading based on available cash reserves. + +5. **Actionable Strategy:** Consider short-term trades in Stock B but maintain a balanced portfolio by holding onto a portion of Stock A for stability. + +Happy trading and stay informed! +2025-10-24 16:30:51,289 - Stocklogger - INFO - Agent 1 says: **Trading Tips for Today:** + +1. **Company A**: Despite the recent sell-offs, there remains potential for recovery due to new strategic directions under the new CEO. Monitor closely for upward trends and trading volume. Consider selling selective portions to capitalize on positive movements. + +2. **Company B**: With robust growth expected and positive market sentiment, now is a good time to consider accumulating shares. The recent activities suggest increasing interest, indicating a potential bullish run. + +3. **General Strategy**: Keep an eye on market news and sentiments which may impact stock prices, especially any government policies affecting these sectors. Diversification remains key to managing risk. + +Happy Trading! 📈💼 +2025-10-24 16:30:54,664 - Stocklogger - INFO - Agent 2 says: **Trading Tips for Today:** + +1. **Company A** is showing promising price resistance at $33.5, and despite recent sell-offs, the overall trend remains stable. Consider executing sells in the upcoming sessions if it approaches resistance levels. + +2. **Company B** continues to exhibit growth potential, recommended for buying, especially with its recent price movements around $42. It is advisable to take advantage of any dips to accumulate more shares in anticipation of future gains. + +3. Keep an eye on market sentiments and news developments as they can greatly influence stock prices, particularly in volatile sectors. + +4. As for financing strategies, it might be prudent to avoid new loans unless absolutely necessary, given the current market conditions. + +Happy trading! +2025-10-24 16:30:57,629 - Stocklogger - INFO - Agent 3 says: **Trading Tips:** + +Today, we witnessed some interesting movements in both Company A and Company B's stocks. Company A has shown resilience despite a steady decline in revenue over the past few years, suggesting potential opportunities for profit on the selling side as we see upward pressure on prices. + +For Company B, the continuous demand in the tech sector despite recent fluctuations points to a robust growth potential, making it a good candidate for buying. Keep an eye on news regarding government inquiries and operational transparency, as this could affect stock performance. + +Overall, consider balancing your portfolio by selling some shares of A while investing in the growth potential of B. Happy trading! +2025-10-24 16:31:01,404 - Stocklogger - INFO - Agent 4 says: **Trading Tips for Today:** + +1. **Company A**: Despite experiencing some volatility, the overall sentiment remains cautiously optimistic. I recommend considering selling shares at higher price levels as the market is seeing increased selling activity. Monitor for any news or announcements that may influence the company's trajectory. + +2. **Company B**: With a strong buying interest and promising future growth potential, I suggest taking advantage of current opportunities to acquire more shares if the price dips below 42. Keep an eye on market reactions to ongoing government inquiries, but overall confidence in the stock seems strong. + +3. **General Advice**: Ensure to manage risk, especially in fluctuating markets, by diversifying your holdings and being aware of the latest market news. Happy trading! +2025-10-24 16:31:05,276 - Stocklogger - INFO - Agent 5 says: **Trading Tips for Today's Market:** + +1. **Stock A:** The recent sell-off pressure indicates that it might be a good time to accumulate shares at lower prices. With potential improvements in the company's outlook, consider buying if the price dips further. + +2. **Stock B:** Strong buying interest has been noted, coupled with anticipated revenue growth. The stock appears to be a strong buy for those looking to capitalize on future performance. + +3. **Loan Considerations:** While the current cash position is healthy, be mindful of market volatility. Utilizing leverage might amplify gains, but assess risks carefully. + +4. **General Advice:** Diversifying your portfolio with both established companies and promising growth stocks can mitigate risks. Keep an eye on market trends and always perform due diligence. + +Happy trading! +2025-10-24 16:31:15,949 - Stocklogger - INFO - Agent 6 says: **Trading Tips for Today:** + +1. **Company A:** While the recent sell-off presented opportunities, the overall performance trends suggest a cautious approach. It's advisable to monitor market sentiment before engaging further. + +2. **Company B:** With the expected revenue growth and strong demand, I recommend considering buying shares at the current price levels. The bullish outlook paired with government support bodes well for future gains. + +3. **Overall Market Insight:** Keep an eye on external market factors and upcoming financial reports. Staying informed will help guide your trading decisions. + +Happy trading, everyone! +2025-10-24 16:31:19,274 - Stocklogger - INFO - Agent 7 says: **Trading Tips:** + +As we conclude today's trading session, here are some key insights: + +1. **Company A**: While it has shown resilience, the upward momentum seems limited due to persistent operational challenges. Consider selling if you hold significant shares. + +2. **Company B**: A promising tech stock that is experiencing a strong demand. The recent buy orders indicate confidence in its growth potential. Now might be a good time to accumulate more shares. + +3. **Market Trends**: Keep an eye on fluctuations and trends over the next few days. Stay informed about company news and regulatory inquiries that may impact prices. + +4. **Loan Strategy**: With current market conditions, it may be prudent to avoid additional loans unless significant opportunities arise. + +Happy trading, and let’s make informed decisions together! +2025-10-24 16:31:22,338 - Stocklogger - INFO - Agent 8 says: **Trading Tips:** + +1. **Stock A**: Despite recent sell-offs, Company A appears to be stabilizing. Monitor closely for potential rebounds as new initiatives from management take shape. Consider selective selling if prices meet your targets. + +2. **Stock B**: With positive outlooks on forthcoming revenue growth and current buy interest, now may be a good time to accumulate more shares. However, due diligence is necessary due to past transparency issues. + +3. **General Market**: Keep an eye on market trends and sentiment. Economic factors may influence stock performance significantly in the upcoming sessions. + +4. **Loans**: Proceed cautiously with loans unless absolutely necessary for strategic investments. Focus on managing cash flow effectively for stability. + +Happy trading! Always assess risks before making significant moves. +2025-10-24 16:31:25,006 - Stocklogger - INFO - Agent 9 says: **Trading Tips for Today:** + +1. **Stock A**: Despite some recent selling pressure, I see potential for a rebound given the new CEO's proactive approach and efforts to explore new business avenues. Consider monitoring entry points for when the stock stabilizes. + +2. **Stock B**: With a strong growth trajectory ahead and increasing buy interest, I recommend accumulating shares. The company's commitment to transparency and societal contributions may foster positive sentiment. + +3. **Market Outlook**: With government support and operational improvements expected, a cautious but optimistic approach is warranted. Keep an eye on macroeconomic factors that could impact the tech sector. + +Happy Trading! +2025-10-24 16:31:28,829 - Stocklogger - INFO - Agent 10 says: **Trading Tips for Today:** + +1. **Stock A**: Despite recent sell-offs, there are signs of potential recovery with the new management in place. Watch for buying opportunities, especially if the price dips below 32.5. + +2. **Stock B**: Strong growth potential remains, particularly given the promising tech outlook. Consider increasing positions, especially if prices stabilize around 42. + +3. **Market Strategy**: Keeping an eye on government support initiatives can provide lucrative trading windows. Don’t hesitate to utilize loans to amplify your trading capabilities during this favorable period. + +4. **General Advice**: Monitor market reactions closely and adjust your strategies accordingly. Diversifying between A and B may help hedge against risks. + +Happy trading! +2025-10-24 16:31:31,375 - Stocklogger - INFO - Agent 11 says: **Trading Tips for Today:** + +1. **Stock A:** Despite a stable revenue trend in the past, recent sell-offs indicate that caution is warranted. Expect volatility; focus on holding rather than selling unless the price surpasses recent highs. + +2. **Stock B:** The growth potential looks promising, especially considering the expected revenue growth rate resurgence. Buyers may want to consider accumulating shares as the tech market is showing signs of recovery. + +3. **General Advice:** Before making any transactions, assess market sentiment and be wary of overleveraging. It's crucial to stay informed about the company's operational outlook and any potential regulatory impacts. + +**Happy Trading!** +2025-10-24 16:31:39,531 - Stocklogger - INFO - Agent 12 says: **Trading Tips for Today:** + +1. **Stock A Performance:** Despite some volatility, Stock A showed resilience with potential for profit-taking at higher price levels. Keep an eye on market trends and consider selling if prices rise further. + +2. **Stock B Opportunities:** Stock B remains a solid buy opportunity due to expected growth in the tech sector. With plans for expansion and increasing demand, it's wise to accumulate shares while prices are still favorable. + +3. **Market Sentiment:** Traders should stay informed about developments related to both companies, particularly on government policies and subsidies that could impact stock performance. + +4. **Loan Considerations:** Given current market conditions, maintaining cash reserves without new loans is advisable. Focus on strategic buying and selling based on market movements. + +Stay vigilant and happy trading! +2025-10-24 16:31:42,105 - Stocklogger - INFO - Agent 13 says: **Trading Tips:** + +"As we close today's trading session, keep an eye on the growth potential of Company B. Despite some recent scrutiny, its revenue growth trajectory remains promising, especially with expected growth rates surpassing 20%. Meanwhile, Company A, with a stable but uncertain outlook due to past performance, offers selling opportunities if the price continues to rise. Always consider your risk tolerance when deciding to buy or sell. Stay informed and happy trading!" +2025-10-24 16:31:46,208 - Stocklogger - INFO - Agent 14 says: **Trading Tips:** + +1. **Focus on Company B:** Given the current growth trajectory and positive outlook, consider buying shares of Company B. The stock has shown resilience and the potential for significant gains as market conditions improve. + +2. **Watch Company A:** While Company A has a stable operational outlook due to recent management changes, the overall revenue trend is declining. Short-term selling opportunities may present themselves, especially if prices rise from the current levels. + +3. **No Loans Needed:** The current cash reserves are sufficient for trading activities. Avoid taking on additional debt unless a compelling investment opportunity arises. + +4. **Stay Informed:** Keep an eye on market trends and news related to both companies, especially any governmental actions or financial reports that may influence stock prices. + +Let’s stay proactive and informed in our trading strategies! +2025-10-24 17:28:00,273 - Stocklogger - DEBUG - Agents initial... +2025-10-24 17:28:00,273 - Stocklogger - DEBUG - cash: 2971416.381922153, stock a: 27269, stock b:13284, debt: [{'loan': 'yes', 'amount': 418350.6010166338, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 17:28:00,273 - Stocklogger - DEBUG - cash: 257791.36671634228, stock a: 43389, stock b:83984, debt: [{'loan': 'yes', 'amount': 4461073.2824422745, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 17:28:00,273 - Stocklogger - DEBUG - cash: 2119670.217033741, stock a: 54871, stock b:17962, debt: [{'loan': 'yes', 'amount': 1259273.963112424, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 17:28:00,273 - Stocklogger - DEBUG - cash: 1559981.0359118015, stock a: 56302, stock b:31923, debt: [{'loan': 'yes', 'amount': 35730.35012764625, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 243348.3725143637, stock a: 23236, stock b:50955, debt: [{'loan': 'yes', 'amount': 1323771.0441515504, 'loan_type': 2, 'repayment_date': 198}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 2352484.226942778, stock a: 830, stock b:56428, debt: [{'loan': 'yes', 'amount': 2710966.1366604636, 'loan_type': 0, 'repayment_date': 154}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 1255679.385476886, stock a: 2485, stock b:88355, debt: [{'loan': 'yes', 'amount': 1038237.1430997817, 'loan_type': 0, 'repayment_date': 242}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 241133.65770470686, stock a: 29604, stock b:58027, debt: [{'loan': 'yes', 'amount': 112831.95242583477, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 462197.41808303236, stock a: 44410, stock b:34709, debt: [{'loan': 'yes', 'amount': 1750828.648905275, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 152939.41868231297, stock a: 64888, stock b:57260, debt: [{'loan': 'yes', 'amount': 3939112.824741554, 'loan_type': 1, 'repayment_date': 132}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 1466126.0716949708, stock a: 32892, stock b:16179, debt: [{'loan': 'yes', 'amount': 1456093.6871134073, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 2229968.4760598154, stock a: 15589, stock b:8350, debt: [{'loan': 'yes', 'amount': 1808389.4557595032, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 3938525.8176220306, stock a: 11966, stock b:4887, debt: [{'loan': 'yes', 'amount': 248891.0131130345, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 17:28:00,274 - Stocklogger - DEBUG - cash: 1188859.1052084928, stock a: 97937, stock b:16777, debt: [{'loan': 'yes', 'amount': 1098144.035233966, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 652031.2734327477, stock a: 96405, stock b:15740, debt: [{'loan': 'yes', 'amount': 3414646.0151750525, 'loan_type': 0, 'repayment_date': 44}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 1738823.5547042452, stock a: 10437, stock b:61906, debt: [{'loan': 'yes', 'amount': 1289523.6492951545, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 919811.0479914246, stock a: 30585, stock b:44461, debt: [{'loan': 'yes', 'amount': 754132.6128214742, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 2229080.606079838, stock a: 23452, stock b:42523, debt: [{'loan': 'yes', 'amount': 1313419.3016837297, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 2678723.268656016, stock a: 5574, stock b:22278, debt: [{'loan': 'yes', 'amount': 2433082.229863293, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 2482121.711450139, stock a: 65751, stock b:3816, debt: [{'loan': 'yes', 'amount': 1795420.3488654646, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 585833.5573255308, stock a: 14976, stock b:73493, debt: [{'loan': 'yes', 'amount': 1910465.7881913423, 'loan_type': 1, 'repayment_date': 220}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 1146648.3040369856, stock a: 32309, stock b:49532, debt: [{'loan': 'yes', 'amount': 1190141.8156267186, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 1255043.7261302595, stock a: 89769, stock b:8644, debt: [{'loan': 'yes', 'amount': 1354954.289722818, 'loan_type': 2, 'repayment_date': 264}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 1551323.009407985, stock a: 104396, stock b:4381, debt: [{'loan': 'yes', 'amount': 3598203.6810443457, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 17:28:00,275 - Stocklogger - DEBUG - cash: 595864.8431036089, stock a: 32839, stock b:22713, debt: [{'loan': 'yes', 'amount': 1112805.5407413524, 'loan_type': 1, 'repayment_date': 22}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 312986.32885195245, stock a: 19451, stock b:12877, debt: [{'loan': 'yes', 'amount': 1040843.3329357913, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 1936757.3630143087, stock a: 32639, stock b:9012, debt: [{'loan': 'yes', 'amount': 1103925.6194409796, 'loan_type': 2, 'repayment_date': 110}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 735428.4418644647, stock a: 3520, stock b:95952, debt: [{'loan': 'yes', 'amount': 479112.3071269027, 'loan_type': 2, 'repayment_date': 198}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 786887.2218549106, stock a: 94454, stock b:31938, debt: [{'loan': 'yes', 'amount': 3796521.4959727176, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 123726.71322173289, stock a: 26756, stock b:74581, debt: [{'loan': 'yes', 'amount': 692623.4970890455, 'loan_type': 1, 'repayment_date': 264}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 276327.84603076, stock a: 29382, stock b:32501, debt: [{'loan': 'yes', 'amount': 1845114.9156081525, 'loan_type': 1, 'repayment_date': 198}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 1328996.5592399922, stock a: 10218, stock b:27398, debt: [{'loan': 'yes', 'amount': 1422009.104208719, 'loan_type': 2, 'repayment_date': 242}] +2025-10-24 17:28:00,276 - Stocklogger - DEBUG - cash: 43683.85666781549, stock a: 9675, stock b:37786, debt: [{'loan': 'yes', 'amount': 1838166.416922763, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 17:28:00,328 - Stocklogger - DEBUG - cash: 435227.25621618517, stock a: 94854, stock b:2499, debt: [{'loan': 'yes', 'amount': 661509.6339606197, 'loan_type': 0, 'repayment_date': 198}] +2025-10-24 17:28:00,328 - Stocklogger - DEBUG - cash: 941400.0276917383, stock a: 69330, stock b:13601, debt: [{'loan': 'yes', 'amount': 2434419.9684983892, 'loan_type': 2, 'repayment_date': 22}] +2025-10-24 17:28:00,328 - Stocklogger - DEBUG - cash: 339381.250134978, stock a: 141935, stock b:8753, debt: [{'loan': 'yes', 'amount': 1885068.1177880906, 'loan_type': 1, 'repayment_date': 242}] +2025-10-24 17:28:00,328 - Stocklogger - DEBUG - cash: 1192354.6996584504, stock a: 79224, stock b:22062, debt: [{'loan': 'yes', 'amount': 819621.8814971035, 'loan_type': 2, 'repayment_date': 220}] +2025-10-24 17:28:00,328 - Stocklogger - DEBUG - cash: 4173173.2436399255, stock a: 9886, stock b:9107, debt: [{'loan': 'yes', 'amount': 2989290.5441342187, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 2161447.813836956, stock a: 18426, stock b:28131, debt: [{'loan': 'yes', 'amount': 307632.49958768446, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 3953149.586093615, stock a: 4441, stock b:4609, debt: [{'loan': 'yes', 'amount': 717925.6941291612, 'loan_type': 2, 'repayment_date': 88}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 139035.07363418277, stock a: 69949, stock b:63491, debt: [{'loan': 'yes', 'amount': 3081864.817790975, 'loan_type': 0, 'repayment_date': 264}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 259575.74896684045, stock a: 76317, stock b:38715, debt: [{'loan': 'yes', 'amount': 400415.5312823088, 'loan_type': 1, 'repayment_date': 154}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 459759.7375704143, stock a: 45124, stock b:65966, debt: [{'loan': 'yes', 'amount': 2554198.062232491, 'loan_type': 2, 'repayment_date': 66}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 1950088.5582819432, stock a: 43213, stock b:11459, debt: [{'loan': 'yes', 'amount': 692917.3167105517, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 1917454.3565207392, stock a: 24237, stock b:45100, debt: [{'loan': 'yes', 'amount': 1570910.133182448, 'loan_type': 0, 'repayment_date': 132}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 1760846.4293656957, stock a: 34717, stock b:35982, debt: [{'loan': 'yes', 'amount': 1519077.0219426875, 'loan_type': 0, 'repayment_date': 88}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 592583.5485640713, stock a: 49186, stock b:27368, debt: [{'loan': 'yes', 'amount': 2804796.8000175115, 'loan_type': 2, 'repayment_date': 44}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 467124.7001672474, stock a: 105501, stock b:858, debt: [{'loan': 'yes', 'amount': 1481456.1450906594, 'loan_type': 0, 'repayment_date': 22}] +2025-10-24 17:28:00,329 - Stocklogger - DEBUG - cash: 4126498.0328997974, stock a: 9749, stock b:11970, debt: [{'loan': 'yes', 'amount': 1553133.3923160657, 'loan_type': 1, 'repayment_date': 176}] +2025-10-24 17:28:00,330 - Stocklogger - DEBUG - cash: 620679.8254100487, stock a: 40465, stock b:14890, debt: [{'loan': 'yes', 'amount': 1536372.450772282, 'loan_type': 2, 'repayment_date': 132}] +2025-10-24 17:28:00,330 - Stocklogger - DEBUG - --------Simulation Start!-------- +2025-10-24 17:28:00,330 - Stocklogger - DEBUG - --------DAY 1--------- +2025-10-24 17:28:01,437 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:28:01,933 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:28:03,597 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:28:04,751 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 17:28:05,292 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:28:06,040 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:28:07,592 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 17:28:08,046 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 17:32:37,706 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:32:37,706 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:32:38,436 - Stocklogger - INFO - INFO: Agent 0 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 17:32:38,436 - Stocklogger - INFO - INFO: Agent 0 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 17:32:38,962 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:32:38,962 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:32:39,505 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:32:39,505 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:32:41,961 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 3000000, 'repayment_date': 67} +2025-10-24 17:32:41,961 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 3000000, 'repayment_date': 67} +2025-10-24 17:32:44,465 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:32:44,465 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:32:45,746 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:32:45,746 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:32:46,550 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 17:32:46,550 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 17:32:47,534 - Stocklogger - INFO - INFO: Agent 7 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1176535.821773331, 'repayment_date': 45} +2025-10-24 17:32:47,534 - Stocklogger - INFO - INFO: Agent 7 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1176535.821773331, 'repayment_date': 45} +2025-10-24 17:32:48,346 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 17:32:48,346 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 17:32:49,017 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 17:32:49,017 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 17:32:49,896 - Stocklogger - INFO - INFO: Agent 10 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1292358.8295984368, 'repayment_date': 45} +2025-10-24 17:32:49,896 - Stocklogger - INFO - INFO: Agent 10 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1292358.8295984368, 'repayment_date': 45} +2025-10-24 17:32:50,665 - Stocklogger - INFO - INFO: Agent 11 decide not to loan +2025-10-24 17:32:50,665 - Stocklogger - INFO - INFO: Agent 11 decide not to loan +2025-10-24 17:32:51,134 - Stocklogger - INFO - INFO: Agent 12 decide not to loan +2025-10-24 17:32:51,134 - Stocklogger - INFO - INFO: Agent 12 decide not to loan +2025-10-24 17:32:51,654 - Stocklogger - INFO - INFO: Agent 13 decide not to loan +2025-10-24 17:32:51,654 - Stocklogger - INFO - INFO: Agent 13 decide not to loan +2025-10-24 17:32:52,433 - Stocklogger - INFO - INFO: Agent 14 decide not to loan +2025-10-24 17:32:52,433 - Stocklogger - INFO - INFO: Agent 14 decide not to loan +2025-10-24 17:32:53,114 - Stocklogger - INFO - INFO: Agent 15 decide not to loan +2025-10-24 17:32:53,114 - Stocklogger - INFO - INFO: Agent 15 decide not to loan +2025-10-24 17:32:53,787 - Stocklogger - INFO - INFO: Agent 16 decide not to loan +2025-10-24 17:32:53,787 - Stocklogger - INFO - INFO: Agent 16 decide not to loan +2025-10-24 17:32:54,436 - Stocklogger - INFO - INFO: Agent 17 decide not to loan +2025-10-24 17:32:54,436 - Stocklogger - INFO - INFO: Agent 17 decide not to loan +2025-10-24 17:32:54,983 - Stocklogger - INFO - INFO: Agent 18 decide not to loan +2025-10-24 17:32:54,983 - Stocklogger - INFO - INFO: Agent 18 decide not to loan +2025-10-24 17:32:56,677 - Stocklogger - INFO - INFO: Agent 19 decide not to loan +2025-10-24 17:32:56,677 - Stocklogger - INFO - INFO: Agent 19 decide not to loan +2025-10-24 17:32:57,687 - Stocklogger - INFO - INFO: Agent 20 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 464514.6622505295, 'repayment_date': 67} +2025-10-24 17:32:57,687 - Stocklogger - INFO - INFO: Agent 20 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 464514.6622505295, 'repayment_date': 67} +2025-10-24 17:32:58,344 - Stocklogger - INFO - INFO: Agent 21 decide not to loan +2025-10-24 17:32:58,344 - Stocklogger - INFO - INFO: Agent 21 decide not to loan +2025-10-24 17:32:59,500 - Stocklogger - INFO - INFO: Agent 22 decide not to loan +2025-10-24 17:32:59,500 - Stocklogger - INFO - INFO: Agent 22 decide not to loan +2025-10-24 17:33:00,447 - Stocklogger - INFO - INFO: Agent 23 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2333821, 'repayment_date': 45} +2025-10-24 17:33:00,447 - Stocklogger - INFO - INFO: Agent 23 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2333821, 'repayment_date': 45} +2025-10-24 17:33:01,279 - Stocklogger - INFO - INFO: Agent 24 decide not to loan +2025-10-24 17:33:01,279 - Stocklogger - INFO - INFO: Agent 24 decide not to loan +2025-10-24 17:33:01,933 - Stocklogger - INFO - INFO: Agent 25 decide not to loan +2025-10-24 17:33:01,933 - Stocklogger - INFO - INFO: Agent 25 decide not to loan +2025-10-24 17:33:02,595 - Stocklogger - INFO - INFO: Agent 26 decide not to loan +2025-10-24 17:33:02,595 - Stocklogger - INFO - INFO: Agent 26 decide not to loan +2025-10-24 17:33:03,069 - Stocklogger - INFO - INFO: Agent 27 decide not to loan +2025-10-24 17:33:03,069 - Stocklogger - INFO - INFO: Agent 27 decide not to loan +2025-10-24 17:33:03,815 - Stocklogger - INFO - INFO: Agent 28 decide not to loan +2025-10-24 17:33:03,815 - Stocklogger - INFO - INFO: Agent 28 decide not to loan +2025-10-24 17:33:04,215 - Stocklogger - INFO - INFO: Agent 29 decide not to loan +2025-10-24 17:33:04,215 - Stocklogger - INFO - INFO: Agent 29 decide not to loan +2025-10-24 17:33:05,931 - Stocklogger - INFO - INFO: Agent 30 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 2806811.511804586, 'repayment_date': 23} +2025-10-24 17:33:05,931 - Stocklogger - INFO - INFO: Agent 30 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 2806811.511804586, 'repayment_date': 23} +2025-10-24 17:33:06,461 - Stocklogger - INFO - INFO: Agent 31 decide not to loan +2025-10-24 17:33:06,461 - Stocklogger - INFO - INFO: Agent 31 decide not to loan +2025-10-24 17:33:07,848 - Stocklogger - INFO - INFO: Agent 32 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1500000, 'repayment_date': 45} +2025-10-24 17:33:07,848 - Stocklogger - INFO - INFO: Agent 32 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1500000, 'repayment_date': 45} +2025-10-24 17:33:09,159 - Stocklogger - INFO - INFO: Agent 33 decide not to loan +2025-10-24 17:33:09,159 - Stocklogger - INFO - INFO: Agent 33 decide not to loan +2025-10-24 17:33:09,912 - Stocklogger - INFO - INFO: Agent 34 decide not to loan +2025-10-24 17:33:09,912 - Stocklogger - INFO - INFO: Agent 34 decide not to loan +2025-10-24 17:33:10,575 - Stocklogger - INFO - INFO: Agent 35 decide not to loan +2025-10-24 17:33:10,575 - Stocklogger - INFO - INFO: Agent 35 decide not to loan +2025-10-24 17:33:11,287 - Stocklogger - INFO - INFO: Agent 36 decide not to loan +2025-10-24 17:33:11,287 - Stocklogger - INFO - INFO: Agent 36 decide not to loan +2025-10-24 17:33:11,833 - Stocklogger - INFO - INFO: Agent 37 decide not to loan +2025-10-24 17:33:11,833 - Stocklogger - INFO - INFO: Agent 37 decide not to loan +2025-10-24 17:33:12,302 - Stocklogger - INFO - INFO: Agent 38 decide not to loan +2025-10-24 17:33:12,302 - Stocklogger - INFO - INFO: Agent 38 decide not to loan +2025-10-24 17:33:13,101 - Stocklogger - INFO - INFO: Agent 39 decide not to loan +2025-10-24 17:33:13,101 - Stocklogger - INFO - INFO: Agent 39 decide not to loan +2025-10-24 17:33:14,109 - Stocklogger - INFO - INFO: Agent 40 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1800000, 'repayment_date': 45} +2025-10-24 17:33:14,109 - Stocklogger - INFO - INFO: Agent 40 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1800000, 'repayment_date': 45} +2025-10-24 17:33:15,215 - Stocklogger - INFO - INFO: Agent 41 decide not to loan +2025-10-24 17:33:15,215 - Stocklogger - INFO - INFO: Agent 41 decide not to loan +2025-10-24 17:33:15,949 - Stocklogger - INFO - INFO: Agent 42 decide not to loan +2025-10-24 17:33:15,949 - Stocklogger - INFO - INFO: Agent 42 decide not to loan +2025-10-24 17:33:16,973 - Stocklogger - INFO - INFO: Agent 43 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2304505.0200585444, 'repayment_date': 45} +2025-10-24 17:33:16,973 - Stocklogger - INFO - INFO: Agent 43 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2304505.0200585444, 'repayment_date': 45} +2025-10-24 17:33:17,521 - Stocklogger - INFO - INFO: Agent 44 decide not to loan +2025-10-24 17:33:17,521 - Stocklogger - INFO - INFO: Agent 44 decide not to loan +2025-10-24 17:33:18,154 - Stocklogger - INFO - INFO: Agent 45 decide not to loan +2025-10-24 17:33:18,154 - Stocklogger - INFO - INFO: Agent 45 decide not to loan +2025-10-24 17:33:18,828 - Stocklogger - INFO - INFO: Agent 46 decide not to loan +2025-10-24 17:33:18,828 - Stocklogger - INFO - INFO: Agent 46 decide not to loan +2025-10-24 17:33:19,336 - Stocklogger - INFO - INFO: Agent 47 decide not to loan +2025-10-24 17:33:19,336 - Stocklogger - INFO - INFO: Agent 47 decide not to loan +2025-10-24 17:33:20,299 - Stocklogger - INFO - INFO: Agent 48 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 17:33:20,299 - Stocklogger - INFO - INFO: Agent 48 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 17:33:20,802 - Stocklogger - INFO - INFO: Agent 49 decide not to loan +2025-10-24 17:33:20,802 - Stocklogger - INFO - INFO: Agent 49 decide not to loan +2025-10-24 17:33:21,798 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 41.0} +2025-10-24 17:33:21,798 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 41.0} +2025-10-24 17:33:23,734 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 17:33:23,734 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 17:33:24,847 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 17:33:24,847 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 17:33:26,044 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 17:33:26,044 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 17:33:27,101 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 17:33:27,101 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 17:33:28,365 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:28,365 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:29,844 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:33:29,844 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:33:31,029 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:31,029 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:33,202 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:33:33,202 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:33:34,216 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.0} +2025-10-24 17:33:34,216 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.0} +2025-10-24 17:33:35,174 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:35,174 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:36,608 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:36,608 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:38,018 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.5} +2025-10-24 17:33:38,018 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.5} +2025-10-24 17:33:39,125 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:39,125 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:40,124 - Stocklogger - INFO - INFO: Agent 40 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:40,124 - Stocklogger - INFO - INFO: Agent 40 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:41,291 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:41,291 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:42,455 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:42,455 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:43,522 - Stocklogger - DEBUG - Sell more than hold: {"action_type": "sell", "stock": "A", "amount": 5000, "price": 32.0} +2025-10-24 17:33:43,522 - Stocklogger - DEBUG - Sell more than hold: {"action_type": "sell", "stock": "A", "amount": 5000, "price": 32.0} +2025-10-24 17:33:44,762 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4917, 'price': 32.0} +2025-10-24 17:33:44,762 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 4917, 'price': 32.0} +2025-10-24 17:33:48,485 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:48,485 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:49,887 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:49,887 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:53,730 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:53,730 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:56,491 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:56,491 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:57,511 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:57,511 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:58,691 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:58,691 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:33:59,884 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:33:59,884 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:00,838 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:00,838 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:01,985 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:01,985 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:02,782 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:34:02,782 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:34:04,304 - Stocklogger - DEBUG - Sell more than hold: ```json +{"action_type":"sell", "stock":"A", "amount":10000, "price":32.0} +``` +2025-10-24 17:34:04,304 - Stocklogger - DEBUG - Sell more than hold: ```json +{"action_type":"sell", "stock":"A", "amount":10000, "price":32.0} +``` +2025-10-24 17:34:08,442 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:34:08,442 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:34:09,424 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:09,424 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:10,594 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:10,594 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:13,211 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:13,211 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:14,208 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:14,208 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:15,688 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:15,688 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:16,854 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 32.5} +2025-10-24 17:34:16,854 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 32.5} +2025-10-24 17:34:18,074 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:18,074 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:22,070 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:34:22,070 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 32.0} +2025-10-24 17:34:23,394 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:23,394 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:24,329 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:24,329 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:31,069 - Stocklogger - INFO - INFO: Agent 49 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:31,069 - Stocklogger - INFO - INFO: Agent 49 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:32,075 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:32,075 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:33,231 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:33,231 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:34,204 - Stocklogger - INFO - INFO: Agent 33 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:34,204 - Stocklogger - INFO - INFO: Agent 33 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:35,236 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:35,236 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:36,121 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:34:36,121 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:34:37,361 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:37,361 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:38,489 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:38,489 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:39,631 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:34:39,631 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:34:42,436 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:42,436 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:43,744 - Stocklogger - INFO - INFO: Agent 19 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:43,744 - Stocklogger - INFO - INFO: Agent 19 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:45,962 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 2000, 'price': 32.5} +2025-10-24 17:34:45,962 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 2000, 'price': 32.5} +2025-10-24 17:34:47,057 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:34:47,057 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:34:48,555 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:48,555 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:49,714 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:49,714 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:34:50,951 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:50,951 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:52,299 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:52,299 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:53,744 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:34:53,744 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.0} +2025-10-24 17:34:54,870 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:54,870 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:56,147 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:56,147 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:57,033 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:57,033 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:34:59,148 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:34:59,148 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:35:00,405 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:35:00,405 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 10000, 'price': 32.5} +2025-10-24 17:35:01,619 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:01,619 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:03,124 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:03,124 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:04,824 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:04,824 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:05,889 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:35:05,889 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:35:07,172 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:07,172 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:08,145 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:08,145 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:09,370 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:09,370 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:10,641 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:10,641 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:12,477 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:12,477 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:13,373 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:13,373 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:15,653 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:35:15,653 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:35:16,778 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:16,778 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:19,082 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:35:19,082 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:35:20,907 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:20,907 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:22,310 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:22,310 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:23,966 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:23,966 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:25,055 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:25,055 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:26,582 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:26,582 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:28,060 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:28,060 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:30,151 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:30,151 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:31,431 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:31,431 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:34,513 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:34,513 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:35:37,950 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:37,950 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:39,429 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:39,429 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:41,794 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:41,794 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:42,858 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:42,858 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:43,904 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:43,904 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:45,982 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:45,982 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:47,009 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:47,009 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:48,172 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:48,172 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:49,348 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:49,348 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:52,969 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:35:52,969 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:41:29,495 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:41:29,495 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:41:30,122 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:41:30,122 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:41:30,796 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:41:30,796 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:41:31,831 - Stocklogger - INFO - INFO: Agent 2 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 1535527.084900642, 'repayment_date': 67} +2025-10-24 17:41:31,831 - Stocklogger - INFO - INFO: Agent 2 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 1535527.084900642, 'repayment_date': 67} +2025-10-24 17:41:32,726 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1500000, 'repayment_date': 45} +2025-10-24 17:41:32,726 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1500000, 'repayment_date': 45} +2025-10-24 17:41:33,452 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:41:33,452 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:41:34,043 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:41:34,043 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:41:35,946 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 17:41:35,946 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 17:41:36,574 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 17:41:36,574 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 17:41:37,073 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 17:41:37,073 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 17:41:38,259 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 17:41:38,259 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 17:41:38,730 - Stocklogger - INFO - INFO: Agent 10 decide not to loan +2025-10-24 17:41:38,730 - Stocklogger - INFO - INFO: Agent 10 decide not to loan +2025-10-24 17:41:39,671 - Stocklogger - INFO - INFO: Agent 11 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 613969.1926603939, 'repayment_date': 45} +2025-10-24 17:41:39,671 - Stocklogger - INFO - INFO: Agent 11 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 613969.1926603939, 'repayment_date': 45} +2025-10-24 17:41:40,195 - Stocklogger - INFO - INFO: Agent 12 decide not to loan +2025-10-24 17:41:40,195 - Stocklogger - INFO - INFO: Agent 12 decide not to loan +2025-10-24 17:41:40,693 - Stocklogger - INFO - INFO: Agent 13 decide not to loan +2025-10-24 17:41:40,693 - Stocklogger - INFO - INFO: Agent 13 decide not to loan +2025-10-24 17:41:41,110 - Stocklogger - INFO - INFO: Agent 14 decide not to loan +2025-10-24 17:41:41,110 - Stocklogger - INFO - INFO: Agent 14 decide not to loan +2025-10-24 17:41:42,456 - Stocklogger - DEBUG - Wrong json content in response: {"loan": "yes", "loan_type": 1, "amount": 2500000} +2025-10-24 17:41:42,456 - Stocklogger - DEBUG - Wrong json content in response: {"loan": "yes", "loan_type": 1, "amount": 2500000} +2025-10-24 17:41:43,545 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 17:41:43,545 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 17:41:44,766 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 17:41:44,766 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 17:41:45,626 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 17:41:45,626 - Stocklogger - DEBUG - Wrong json content in response: 1 +2025-10-24 17:41:45,626 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 17:41:45,626 - Stocklogger - WARNING - WARNING: Loan format try times > MAX_TRY_TIMES. Skip as no loan today. +2025-10-24 17:41:45,626 - Stocklogger - INFO - INFO: Agent 15 decide not to loan +2025-10-24 17:41:45,626 - Stocklogger - INFO - INFO: Agent 15 decide not to loan +2025-10-24 17:41:46,243 - Stocklogger - INFO - INFO: Agent 16 decide not to loan +2025-10-24 17:41:46,243 - Stocklogger - INFO - INFO: Agent 16 decide not to loan +2025-10-24 17:41:46,756 - Stocklogger - INFO - INFO: Agent 17 decide not to loan +2025-10-24 17:41:46,756 - Stocklogger - INFO - INFO: Agent 17 decide not to loan +2025-10-24 17:41:47,446 - Stocklogger - INFO - INFO: Agent 18 decide not to loan +2025-10-24 17:41:47,446 - Stocklogger - INFO - INFO: Agent 18 decide not to loan +2025-10-24 17:41:48,229 - Stocklogger - INFO - INFO: Agent 19 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 300000, 'repayment_date': 45} +2025-10-24 17:41:48,229 - Stocklogger - INFO - INFO: Agent 19 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 300000, 'repayment_date': 45} +2025-10-24 17:41:48,680 - Stocklogger - INFO - INFO: Agent 20 decide not to loan +2025-10-24 17:41:48,680 - Stocklogger - INFO - INFO: Agent 20 decide not to loan +2025-10-24 17:41:49,568 - Stocklogger - INFO - INFO: Agent 21 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 1963085.8964035409, 'repayment_date': 23} +2025-10-24 17:41:49,568 - Stocklogger - INFO - INFO: Agent 21 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 1963085.8964035409, 'repayment_date': 23} +2025-10-24 17:41:50,122 - Stocklogger - INFO - INFO: Agent 22 decide not to loan +2025-10-24 17:41:50,122 - Stocklogger - INFO - INFO: Agent 22 decide not to loan +2025-10-24 17:41:50,891 - Stocklogger - INFO - INFO: Agent 23 decide not to loan +2025-10-24 17:41:50,891 - Stocklogger - INFO - INFO: Agent 23 decide not to loan +2025-10-24 17:41:51,838 - Stocklogger - INFO - INFO: Agent 24 decide not to loan +2025-10-24 17:41:51,838 - Stocklogger - INFO - INFO: Agent 24 decide not to loan +2025-10-24 17:41:52,538 - Stocklogger - INFO - INFO: Agent 25 decide not to loan +2025-10-24 17:41:52,538 - Stocklogger - INFO - INFO: Agent 25 decide not to loan +2025-10-24 17:41:53,636 - Stocklogger - INFO - INFO: Agent 26 decide not to loan +2025-10-24 17:41:53,636 - Stocklogger - INFO - INFO: Agent 26 decide not to loan +2025-10-24 17:41:54,255 - Stocklogger - INFO - INFO: Agent 27 decide not to loan +2025-10-24 17:41:54,255 - Stocklogger - INFO - INFO: Agent 27 decide not to loan +2025-10-24 17:41:54,886 - Stocklogger - INFO - INFO: Agent 28 decide not to loan +2025-10-24 17:41:54,886 - Stocklogger - INFO - INFO: Agent 28 decide not to loan +2025-10-24 17:41:55,477 - Stocklogger - INFO - INFO: Agent 29 decide not to loan +2025-10-24 17:41:55,477 - Stocklogger - INFO - INFO: Agent 29 decide not to loan +2025-10-24 17:41:55,887 - Stocklogger - INFO - INFO: Agent 30 decide not to loan +2025-10-24 17:41:55,887 - Stocklogger - INFO - INFO: Agent 30 decide not to loan +2025-10-24 17:41:56,257 - Stocklogger - INFO - INFO: Agent 31 decide not to loan +2025-10-24 17:41:56,257 - Stocklogger - INFO - INFO: Agent 31 decide not to loan +2025-10-24 17:41:57,120 - Stocklogger - INFO - INFO: Agent 32 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 1419975.7602803316, 'repayment_date': 67} +2025-10-24 17:41:57,120 - Stocklogger - INFO - INFO: Agent 32 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 1419975.7602803316, 'repayment_date': 67} +2025-10-24 17:41:57,680 - Stocklogger - INFO - INFO: Agent 33 decide not to loan +2025-10-24 17:41:57,680 - Stocklogger - INFO - INFO: Agent 33 decide not to loan +2025-10-24 17:41:58,135 - Stocklogger - INFO - INFO: Agent 34 decide not to loan +2025-10-24 17:41:58,135 - Stocklogger - INFO - INFO: Agent 34 decide not to loan +2025-10-24 17:41:58,894 - Stocklogger - INFO - INFO: Agent 35 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 100000, 'repayment_date': 45} +2025-10-24 17:41:58,894 - Stocklogger - INFO - INFO: Agent 35 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 100000, 'repayment_date': 45} +2025-10-24 17:41:59,537 - Stocklogger - INFO - INFO: Agent 36 decide not to loan +2025-10-24 17:41:59,537 - Stocklogger - INFO - INFO: Agent 36 decide not to loan +2025-10-24 17:42:00,065 - Stocklogger - INFO - INFO: Agent 37 decide not to loan +2025-10-24 17:42:00,065 - Stocklogger - INFO - INFO: Agent 37 decide not to loan +2025-10-24 17:42:00,609 - Stocklogger - INFO - INFO: Agent 38 decide not to loan +2025-10-24 17:42:00,609 - Stocklogger - INFO - INFO: Agent 38 decide not to loan +2025-10-24 17:42:01,167 - Stocklogger - INFO - INFO: Agent 39 decide not to loan +2025-10-24 17:42:01,167 - Stocklogger - INFO - INFO: Agent 39 decide not to loan +2025-10-24 17:42:02,078 - Stocklogger - INFO - INFO: Agent 40 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2000000, 'repayment_date': 45} +2025-10-24 17:42:02,078 - Stocklogger - INFO - INFO: Agent 40 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2000000, 'repayment_date': 45} +2025-10-24 17:42:02,603 - Stocklogger - INFO - INFO: Agent 41 decide not to loan +2025-10-24 17:42:02,603 - Stocklogger - INFO - INFO: Agent 41 decide not to loan +2025-10-24 17:42:03,549 - Stocklogger - INFO - INFO: Agent 42 decide not to loan +2025-10-24 17:42:03,549 - Stocklogger - INFO - INFO: Agent 42 decide not to loan +2025-10-24 17:42:04,303 - Stocklogger - INFO - INFO: Agent 43 decide not to loan +2025-10-24 17:42:04,303 - Stocklogger - INFO - INFO: Agent 43 decide not to loan +2025-10-24 17:42:05,173 - Stocklogger - INFO - INFO: Agent 44 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 4714070.392596438, 'repayment_date': 67} +2025-10-24 17:42:05,173 - Stocklogger - INFO - INFO: Agent 44 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 4714070.392596438, 'repayment_date': 67} +2025-10-24 17:42:05,794 - Stocklogger - INFO - INFO: Agent 45 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2000000, 'repayment_date': 45} +2025-10-24 17:42:05,794 - Stocklogger - INFO - INFO: Agent 45 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 2000000, 'repayment_date': 45} +2025-10-24 17:42:06,630 - Stocklogger - INFO - INFO: Agent 46 decide not to loan +2025-10-24 17:42:06,630 - Stocklogger - INFO - INFO: Agent 46 decide not to loan +2025-10-24 17:42:07,112 - Stocklogger - INFO - INFO: Agent 47 decide not to loan +2025-10-24 17:42:07,112 - Stocklogger - INFO - INFO: Agent 47 decide not to loan +2025-10-24 17:42:07,986 - Stocklogger - INFO - INFO: Agent 48 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1175968.1859453148, 'repayment_date': 45} +2025-10-24 17:42:07,986 - Stocklogger - INFO - INFO: Agent 48 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1175968.1859453148, 'repayment_date': 45} +2025-10-24 17:42:08,472 - Stocklogger - INFO - INFO: Agent 49 decide not to loan +2025-10-24 17:42:08,472 - Stocklogger - INFO - INFO: Agent 49 decide not to loan +2025-10-24 17:42:09,466 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 42.0} +2025-10-24 17:42:09,466 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 42.0} +2025-10-24 17:42:10,295 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 17:42:10,295 - Stocklogger - INFO - INFO: Agent 29 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 17:42:11,293 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 31.0} +2025-10-24 17:42:11,293 - Stocklogger - INFO - INFO: Agent 15 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 31.0} +2025-10-24 17:42:12,962 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 31.5} +2025-10-24 17:42:12,962 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 31.5} +2025-10-24 17:42:13,821 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.0} +2025-10-24 17:42:13,821 - Stocklogger - INFO - INFO: Agent 48 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.0} +2025-10-24 17:42:14,937 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 2000, 'price': 31.0} +2025-10-24 17:42:14,937 - Stocklogger - INFO - INFO: Agent 17 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 2000, 'price': 31.0} +2025-10-24 17:42:16,559 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.5} +2025-10-24 17:42:16,559 - Stocklogger - INFO - INFO: Agent 21 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.5} +2025-10-24 17:42:17,850 - Stocklogger - DEBUG - Sell more than hold: {"action_type": "sell", "stock": "A", "amount": 1000, "price": 31.5} +2025-10-24 17:42:17,850 - Stocklogger - DEBUG - Sell more than hold: {"action_type": "sell", "stock": "A", "amount": 1000, "price": 31.5} +2025-10-24 17:42:18,398 - Stocklogger - INFO - INFO: Agent 8 decide not to action +2025-10-24 17:42:18,398 - Stocklogger - INFO - INFO: Agent 8 decide not to action +2025-10-24 17:42:19,272 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.5} +2025-10-24 17:42:19,272 - Stocklogger - INFO - INFO: Agent 11 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.5} +2025-10-24 17:42:20,327 - Stocklogger - INFO - INFO: Agent 40 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:20,327 - Stocklogger - INFO - INFO: Agent 40 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:21,319 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:21,319 - Stocklogger - INFO - INFO: Agent 26 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:23,461 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:23,461 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:25,095 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:25,095 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:25,916 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:25,916 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:26,836 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:26,836 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:28,122 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:28,122 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:29,030 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:29,030 - Stocklogger - INFO - INFO: Agent 46 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:30,555 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:30,555 - Stocklogger - INFO - INFO: Agent 42 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.0} +2025-10-24 17:42:31,605 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:42:31,605 - Stocklogger - INFO - INFO: Agent 27 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:42:32,688 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:32,688 - Stocklogger - INFO - INFO: Agent 24 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:33,547 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:33,547 - Stocklogger - INFO - INFO: Agent 22 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:34,836 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:42:34,836 - Stocklogger - INFO - INFO: Agent 47 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:42:35,951 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:35,951 - Stocklogger - INFO - INFO: Agent 10 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:37,477 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:37,477 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:39,108 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:39,108 - Stocklogger - INFO - INFO: Agent 12 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:40,254 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:40,254 - Stocklogger - INFO - INFO: Agent 32 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:41,036 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:41,036 - Stocklogger - INFO - INFO: Agent 31 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:41,987 - Stocklogger - INFO - INFO: Agent 19 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:41,987 - Stocklogger - INFO - INFO: Agent 19 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:43,206 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:43,206 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:45,707 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:45,707 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:47,078 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:47,078 - Stocklogger - INFO - INFO: Agent 34 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:48,492 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:48,492 - Stocklogger - INFO - INFO: Agent 23 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:49,523 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:49,523 - Stocklogger - INFO - INFO: Agent 43 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:50,720 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:50,720 - Stocklogger - INFO - INFO: Agent 35 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:51,649 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:51,649 - Stocklogger - INFO - INFO: Agent 28 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:53,498 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:42:53,498 - Stocklogger - INFO - INFO: Agent 37 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:42:54,541 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:54,541 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:55,699 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:55,699 - Stocklogger - INFO - INFO: Agent 44 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:56,542 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:56,542 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:57,367 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:57,367 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:58,269 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:42:58,269 - Stocklogger - INFO - INFO: Agent 20 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:00,098 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:00,098 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:01,050 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:01,050 - Stocklogger - INFO - INFO: Agent 41 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:01,912 - Stocklogger - INFO - INFO: Agent 49 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.0} +2025-10-24 17:43:01,912 - Stocklogger - INFO - INFO: Agent 49 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.0} +2025-10-24 17:43:03,132 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:03,132 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:04,942 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:04,942 - Stocklogger - INFO - INFO: Agent 45 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:06,101 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:06,101 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:07,077 - Stocklogger - INFO - INFO: Agent 33 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.5} +2025-10-24 17:43:07,077 - Stocklogger - INFO - INFO: Agent 33 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.5} +2025-10-24 17:43:08,316 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.5} +2025-10-24 17:43:08,316 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 32.5} +2025-10-24 17:43:09,771 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:09,771 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:11,127 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:11,127 - Stocklogger - INFO - INFO: Agent 38 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:12,082 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:12,082 - Stocklogger - INFO - INFO: Agent 18 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:13,385 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:13,385 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:14,584 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:14,584 - Stocklogger - INFO - INFO: Agent 39 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.5} +2025-10-24 17:43:15,721 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.5} +2025-10-24 17:43:15,721 - Stocklogger - INFO - INFO: Agent 16 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.5} +2025-10-24 17:43:16,792 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 1000, 'price': 42.0} +2025-10-24 17:43:16,792 - Stocklogger - INFO - INFO: Agent 30 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 1000, 'price': 42.0} +2025-10-24 17:43:16,802 - Stocklogger - INFO - ACTION - BUY:36, SELL:30, STOCK:B, PRICE:42.0, AMOUNT:50 +2025-10-24 17:43:16,802 - Stocklogger - INFO - ACTION - BUY:36, SELL:30, STOCK:B, PRICE:42.0, AMOUNT:50 +2025-10-24 17:43:18,041 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:18,041 - Stocklogger - INFO - INFO: Agent 14 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:19,031 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 17:43:19,031 - Stocklogger - INFO - INFO: Agent 13 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 17:43:20,316 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:20,316 - Stocklogger - INFO - INFO: Agent 25 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:43:20,328 - Stocklogger - INFO - ACTION - BUY:38, SELL:25, STOCK:B, PRICE:41.5, AMOUNT:100 +2025-10-24 17:43:20,328 - Stocklogger - INFO - ACTION - BUY:38, SELL:25, STOCK:B, PRICE:41.5, AMOUNT:100 +2025-10-24 17:43:22,042 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:43:22,042 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 32.0} +2025-10-24 17:43:23,015 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 17:43:23,015 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 17:43:24,397 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:43:24,397 - Stocklogger - INFO - INFO: Agent 36 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 32.5} +2025-10-24 17:44:07,323 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:44:07,323 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:44:08,084 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:44:08,084 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:44:09,297 - Stocklogger - INFO - INFO: Agent 1 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 706263.3939059642, 'repayment_date': 45} +2025-10-24 17:44:09,297 - Stocklogger - INFO - INFO: Agent 1 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 706263.3939059642, 'repayment_date': 45} +2025-10-24 17:44:09,890 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:44:09,890 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:44:10,388 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:44:10,388 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:44:10,998 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:44:10,998 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:44:11,662 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:44:11,662 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:44:12,545 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:44:12,545 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:44:13,596 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:44:13,596 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:44:14,498 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:44:14,498 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:44:15,591 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:44:15,591 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:44:16,611 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:44:16,611 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:44:18,013 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:44:18,013 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:44:19,410 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:44:19,410 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:44:19,421 - Stocklogger - INFO - ACTION - BUY:1, SELL:3, STOCK:B, PRICE:42.0, AMOUNT:100 +2025-10-24 17:44:19,421 - Stocklogger - INFO - ACTION - BUY:1, SELL:3, STOCK:B, PRICE:42.0, AMOUNT:100 +2025-10-24 17:44:20,696 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:44:20,696 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 42.5} +2025-10-24 17:44:22,093 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 43.0} +2025-10-24 17:44:22,093 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 43.0} +2025-10-24 17:44:23,513 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 43.0} +2025-10-24 17:44:23,513 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 43.0} +2025-10-24 17:44:25,419 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 43.5} +2025-10-24 17:44:25,419 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 43.5} +2025-10-24 17:44:27,764 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 43.0} +2025-10-24 17:44:27,764 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 43.0} +2025-10-24 17:44:52,623 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:44:52,623 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:44:53,647 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:44:53,647 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:44:57,828 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:44:57,828 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:45:00,938 - Stocklogger - INFO - INFO: Agent 4 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 2000000, 'repayment_date': 24} +2025-10-24 17:45:00,938 - Stocklogger - INFO - INFO: Agent 4 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 2000000, 'repayment_date': 24} +2025-10-24 17:45:02,265 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:45:02,265 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:45:03,836 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:45:03,836 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:49:34,400 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:49:34,400 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:49:35,123 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:49:35,123 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:49:35,859 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:49:35,859 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:49:36,466 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:49:36,466 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:49:37,230 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:49:37,230 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:49:37,971 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:49:37,971 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:49:38,551 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:49:38,551 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:49:39,279 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 40.5} +2025-10-24 17:49:39,279 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 40.5} +2025-10-24 17:49:40,309 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.0} +2025-10-24 17:49:40,309 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.0} +2025-10-24 17:49:41,606 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 50, 'price': 45.0} +2025-10-24 17:49:41,606 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 50, 'price': 45.0} +2025-10-24 17:49:43,314 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:43,314 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:44,370 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:44,370 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:45,434 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:45,434 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:46,604 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:49:46,604 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:49:47,663 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:49:47,663 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:49:48,693 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:49:48,693 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:49:49,537 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:49,537 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:49:50,524 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:49:50,524 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:49:51,549 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:49:51,549 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:50:25,926 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:50:25,926 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:50:26,975 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:50:26,975 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:50:28,118 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:50:28,118 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:50:29,232 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 2251678.8665688443, 'repayment_date': 68} +2025-10-24 17:50:29,232 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 2251678.8665688443, 'repayment_date': 68} +2025-10-24 17:50:30,188 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:50:30,188 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:50:31,313 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:50:31,313 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:50:32,711 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:50:32,711 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:50:33,968 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:33,968 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:35,416 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:35,416 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:36,659 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.0} +2025-10-24 17:50:36,659 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.0} +2025-10-24 17:50:37,478 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:37,478 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:38,644 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 1000, 'price': 45.0} +2025-10-24 17:50:38,644 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 1000, 'price': 45.0} +2025-10-24 17:50:40,472 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:40,472 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.5} +2025-10-24 17:50:41,616 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:50:41,616 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:50:42,497 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 45.0} +2025-10-24 17:50:42,497 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 45.0} +2025-10-24 17:50:44,323 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:50:44,323 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:50:45,482 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 500, 'price': 45.0} +2025-10-24 17:50:45,482 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 500, 'price': 45.0} +2025-10-24 17:50:46,498 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.0} +2025-10-24 17:50:46,498 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 45.0} +2025-10-24 17:51:27,496 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:51:27,496 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:51:28,320 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:51:28,320 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 17:51:28,825 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:51:28,825 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:51:29,601 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:51:29,601 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:51:30,609 - Stocklogger - INFO - INFO: Agent 5 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 3034247.749039442, 'repayment_date': 69} +2025-10-24 17:51:30,609 - Stocklogger - INFO - INFO: Agent 5 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 3034247.749039442, 'repayment_date': 69} +2025-10-24 17:51:31,846 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 41.0} +2025-10-24 17:51:31,846 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 50, 'price': 41.0} +2025-10-24 17:51:32,802 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 50, 'price': 41.5} +2025-10-24 17:51:32,802 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 50, 'price': 41.5} +2025-10-24 17:51:38,284 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 50, 'price': 41.5} +2025-10-24 17:51:38,284 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 50, 'price': 41.5} +2025-10-24 17:51:39,431 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:39,431 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:40,844 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:40,844 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:42,156 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:42,156 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:43,446 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:43,446 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:44,538 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 39.5} +2025-10-24 17:51:44,538 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 39.5} +2025-10-24 17:51:45,694 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:45,694 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:48,680 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:48,680 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:51:49,966 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 39.0} +2025-10-24 17:51:49,966 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 39.0} +2025-10-24 17:51:50,998 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 39.0} +2025-10-24 17:51:50,998 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 39.0} +2025-10-24 17:53:59,891 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:53:59,891 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 17:54:00,625 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:54:00,625 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 17:54:01,684 - Stocklogger - INFO - INFO: Agent 1 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 17:54:01,684 - Stocklogger - INFO - INFO: Agent 1 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 200000, 'repayment_date': 45} +2025-10-24 17:54:02,371 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:54:02,371 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 17:54:03,195 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:54:03,195 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 17:54:03,859 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:54:03,859 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 17:54:04,633 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:54:04,633 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 17:54:05,318 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 17:54:05,318 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 17:54:06,545 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 17:54:06,545 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 17:54:07,282 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 17:54:07,282 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 17:54:07,748 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 17:54:07,748 - Stocklogger - INFO - INFO: Agent 9 decide not to loan +2025-10-24 17:54:09,384 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:09,384 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:10,426 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 50, 'price': 30.5} +2025-10-24 17:54:10,426 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 50, 'price': 30.5} +2025-10-24 17:54:11,790 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 31.0} +2025-10-24 17:54:11,790 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 31.0} +2025-10-24 17:54:13,612 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 31.5} +2025-10-24 17:54:13,612 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 31.5} +2025-10-24 17:54:14,757 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:14,757 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:15,381 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 31.5} +2025-10-24 17:54:15,381 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 31.5} +2025-10-24 17:54:16,610 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:16,610 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:17,681 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:17,681 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:18,741 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:18,741 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:20,000 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:20,000 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:21,480 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:21,480 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:22,906 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 32.5} +2025-10-24 17:54:22,906 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 32.5} +2025-10-24 17:54:23,860 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:23,860 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:25,036 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.5} +2025-10-24 17:54:25,036 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.5} +2025-10-24 17:54:26,017 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:54:26,017 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:54:26,904 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:26,904 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 32.0} +2025-10-24 17:54:27,767 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 17:54:27,767 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 17:54:28,834 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:54:28,834 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:54:30,736 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:30,736 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:32,183 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:32,183 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:33,344 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 17:54:33,344 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 17:54:34,381 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:34,381 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:36,893 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:54:36,893 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:54:37,784 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:54:37,784 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:54:38,893 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:54:38,893 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:54:39,948 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:54:39,948 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:54:40,962 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:54:40,962 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:54:41,942 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:54:41,942 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:54:43,207 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 17:54:43,207 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 17:54:44,708 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:54:44,708 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.0} +2025-10-24 17:54:45,559 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:45,559 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:46,810 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:46,810 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:48,445 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:48,445 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:50,367 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:50,367 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 17:54:54,183 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 17:54:54,183 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 17:54:56,539 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 250, 'price': 42.5} +2025-10-24 17:54:56,539 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 250, 'price': 42.5} +2025-10-24 17:54:58,058 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:58,058 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:54:58,983 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:54:58,983 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 17:55:00,072 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:55:00,072 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 17:55:01,389 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.5} +2025-10-24 17:55:01,389 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.5} +2025-10-24 17:55:03,713 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 17:55:03,713 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 17:55:04,634 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:55:04,634 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 17:55:06,847 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:55:06,847 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:55:08,255 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 17:55:08,255 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 17:55:09,953 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.5} +2025-10-24 17:55:09,953 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.5} +2025-10-24 17:55:11,749 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 300, 'price': 42.5} +2025-10-24 17:55:11,749 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 300, 'price': 42.5} +2025-10-24 17:55:12,739 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:55:12,739 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:55:14,325 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 17:55:14,325 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 17:55:15,538 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:55:15,538 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 17:55:16,775 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 17:55:16,775 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'B', 'amount': 200, 'price': 42.5} +2025-10-24 18:10:23,077 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 18:10:23,077 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 18:10:25,453 - Stocklogger - INFO - INFO: Agent 0 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 648148.4391193846, 'repayment_date': 45} +2025-10-24 18:10:25,453 - Stocklogger - INFO - INFO: Agent 0 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 648148.4391193846, 'repayment_date': 45} +2025-10-24 18:10:26,971 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 18:10:26,971 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 18:10:27,578 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 18:10:27,578 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 18:10:29,094 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1415116.1833927361, 'repayment_date': 45} +2025-10-24 18:10:29,094 - Stocklogger - INFO - INFO: Agent 3 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 1415116.1833927361, 'repayment_date': 45} +2025-10-24 18:10:30,195 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 18:10:30,195 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 18:10:31,223 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 18:10:31,223 - Stocklogger - INFO - INFO: Agent 5 decide not to loan +2025-10-24 18:10:32,541 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 18:10:32,541 - Stocklogger - INFO - INFO: Agent 6 decide not to loan +2025-10-24 18:10:33,966 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 18:10:33,966 - Stocklogger - INFO - INFO: Agent 7 decide not to loan +2025-10-24 18:10:35,336 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 18:10:35,336 - Stocklogger - INFO - INFO: Agent 8 decide not to loan +2025-10-24 18:10:36,058 - Stocklogger - INFO - INFO: Agent 9 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 200000, 'repayment_date': 67} +2025-10-24 18:10:36,058 - Stocklogger - INFO - INFO: Agent 9 decide to loan: {'loan': 'yes', 'loan_type': 2, 'amount': 200000, 'repayment_date': 67} +2025-10-24 18:10:36,990 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 18:10:36,990 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.0} +2025-10-24 18:10:37,957 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 18:10:37,957 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 42.5} +2025-10-24 18:10:39,026 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 30.5} +2025-10-24 18:10:39,026 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 30.5} +2025-10-24 18:10:40,628 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 30.5} +2025-10-24 18:10:40,628 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 30.5} +2025-10-24 18:10:42,339 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:42,339 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:43,538 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:43,538 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:45,255 - Stocklogger - DEBUG - Sell more than hold: {"action_type": "sell", "stock": "A", "amount": 6000, "price": 30.5} +2025-10-24 18:10:45,255 - Stocklogger - DEBUG - Sell more than hold: {"action_type": "sell", "stock": "A", "amount": 6000, "price": 30.5} +2025-10-24 18:10:47,101 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:10:47,101 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:10:48,228 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:48,228 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:49,390 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:49,390 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:50,435 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:50,435 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:10:51,897 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.0} +2025-10-24 18:10:51,897 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 3000, 'price': 31.0} +2025-10-24 18:10:53,619 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:10:53,619 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:10:55,906 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.0} +2025-10-24 18:10:55,906 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.0} +2025-10-24 18:10:57,219 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:10:57,219 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:10:58,138 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:10:58,138 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:11:00,202 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:11:00,202 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:11:01,251 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.5} +2025-10-24 18:11:01,251 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.5} +2025-10-24 18:11:02,373 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:11:02,373 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:11:04,534 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 31.0} +2025-10-24 18:11:04,534 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 31.0} +2025-10-24 18:11:06,196 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:06,196 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:08,868 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:11:08,868 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:11:10,631 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 18:11:10,631 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.0} +2025-10-24 18:11:11,946 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:11:11,946 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 30.5} +2025-10-24 18:11:13,181 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 400, 'price': 41.0} +2025-10-24 18:11:13,181 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 400, 'price': 41.0} +2025-10-24 18:11:14,121 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:14,121 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:15,952 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 31.0} +2025-10-24 18:11:15,952 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 31.0} +2025-10-24 18:11:17,102 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 400, 'price': 41.0} +2025-10-24 18:11:17,102 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 400, 'price': 41.0} +2025-10-24 18:11:21,756 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:21,756 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:22,982 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 31.0} +2025-10-24 18:11:22,982 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 6000, 'price': 31.0} +2025-10-24 18:11:24,245 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 1000, 'price': 41.0} +2025-10-24 18:11:24,245 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 1000, 'price': 41.0} +2025-10-24 18:11:25,297 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 400, 'price': 41.0} +2025-10-24 18:11:25,297 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 400, 'price': 41.0} +2025-10-24 18:11:26,552 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:26,552 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:28,091 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} +2025-10-24 18:11:28,091 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} +2025-10-24 18:11:29,578 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} +2025-10-24 18:11:29,578 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} +2025-10-24 18:11:31,086 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:31,086 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:11:42,385 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:11:42,385 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:11:44,490 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} +2025-10-24 18:11:44,490 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} +2025-10-24 18:11:45,612 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:45,612 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:47,460 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:47,460 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:49,284 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:49,284 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:50,722 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:50,722 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:11:52,412 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:11:52,412 - Stocklogger - INFO - INFO: Agent 5 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:11:53,444 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:11:53,444 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:11:54,929 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 1000, 'price': 41.0} +2025-10-24 18:11:54,929 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 1000, 'price': 41.0} +2025-10-24 18:12:07,331 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 31.5} +2025-10-24 18:12:07,331 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 8000, 'price': 31.5} +2025-10-24 18:12:09,200 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:12:09,200 - Stocklogger - INFO - INFO: Agent 6 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:12:10,677 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:12:10,677 - Stocklogger - INFO - INFO: Agent 8 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.0} +2025-10-24 18:12:12,418 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.5} +2025-10-24 18:12:12,418 - Stocklogger - INFO - INFO: Agent 9 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.5} +2025-10-24 18:12:16,954 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:12:16,954 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 600, 'price': 41.0} +2025-10-24 18:12:18,100 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.5} +2025-10-24 18:12:18,100 - Stocklogger - INFO - INFO: Agent 7 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 5000, 'price': 31.5} +2025-10-24 18:13:04,861 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 18:13:04,861 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 18:13:05,469 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 18:13:05,469 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 18:13:45,252 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 18:13:45,252 - Stocklogger - INFO - 🤖 Initializing LLM agents... +2025-10-24 18:13:45,931 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 18:13:45,931 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 18:13:46,756 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 18:13:46,756 - Stocklogger - INFO - INFO: Agent 1 decide not to loan +2025-10-24 18:13:47,352 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 18:13:47,352 - Stocklogger - INFO - INFO: Agent 2 decide not to loan +2025-10-24 18:13:48,030 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 18:13:48,030 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 18:13:49,189 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 18:13:49,189 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 18:13:50,174 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 18:13:50,174 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.0} +2025-10-24 18:13:52,047 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 30.5} +2025-10-24 18:13:52,047 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 30.5} +2025-10-24 18:13:52,907 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 30.5} +2025-10-24 18:13:52,907 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 100, 'price': 30.5} +2025-10-24 18:13:53,771 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 30.8} +2025-10-24 18:13:53,771 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 30.8} +2025-10-24 18:13:54,691 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 30.9} +2025-10-24 18:13:54,691 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 30.9} +2025-10-24 18:13:55,603 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.5} +2025-10-24 18:13:55,603 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.5} +2025-10-24 18:13:57,112 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 31.0} +2025-10-24 18:13:57,112 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 200, 'price': 31.0} +2025-10-24 18:13:58,327 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 18:13:58,327 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 150, 'price': 41.0} +2025-10-24 18:13:59,477 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:13:59,477 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 41.5} +2025-10-24 18:14:00,461 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 18:14:00,461 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 41.5} +2025-10-24 18:14:30,504 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 18:14:30,504 - Stocklogger - INFO - INFO: Agent 0 decide not to loan +2025-10-24 18:14:34,542 - Stocklogger - INFO - INFO: Agent 1 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 205178.1873629014, 'repayment_date': 46} +2025-10-24 18:14:34,542 - Stocklogger - INFO - INFO: Agent 1 decide to loan: {'loan': 'yes', 'loan_type': 1, 'amount': 205178.1873629014, 'repayment_date': 46} +2025-10-24 18:14:35,675 - Stocklogger - INFO - INFO: Agent 2 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 100000, 'repayment_date': 24} +2025-10-24 18:14:35,675 - Stocklogger - INFO - INFO: Agent 2 decide to loan: {'loan': 'yes', 'loan_type': 0, 'amount': 100000, 'repayment_date': 24} +2025-10-24 18:14:36,279 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 18:14:36,279 - Stocklogger - INFO - INFO: Agent 3 decide not to loan +2025-10-24 18:14:37,821 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 18:14:37,821 - Stocklogger - INFO - INFO: Agent 4 decide not to loan +2025-10-24 18:14:38,967 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 40.5} +2025-10-24 18:14:38,967 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 100, 'price': 40.5} +2025-10-24 18:14:42,031 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 40.5} +2025-10-24 18:14:42,031 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 200, 'price': 40.5} +2025-10-24 18:14:42,660 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 250, 'price': 41.0} +2025-10-24 18:14:42,660 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 250, 'price': 41.0} +2025-10-24 18:14:43,637 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:14:43,637 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:14:44,775 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:14:44,775 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:14:50,903 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:14:50,903 - Stocklogger - INFO - INFO: Agent 1 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 300, 'price': 41.0} +2025-10-24 18:14:51,698 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:14:51,698 - Stocklogger - INFO - INFO: Agent 0 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:14:52,728 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:14:52,728 - Stocklogger - INFO - INFO: Agent 3 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 30.5} +2025-10-24 18:14:54,158 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 31.0} +2025-10-24 18:14:54,158 - Stocklogger - INFO - INFO: Agent 2 decide to action: {'action_type': 'sell', 'stock': 'A', 'amount': 1000, 'price': 31.0} +2025-10-24 18:14:55,663 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} +2025-10-24 18:14:55,663 - Stocklogger - INFO - INFO: Agent 4 decide to action: {'action_type': 'buy', 'stock': 'B', 'amount': 500, 'price': 41.0} diff --git a/examples/Stockagent/main.py b/examples/Stockagent/main.py new file mode 100644 index 0000000..f5a1ec0 --- /dev/null +++ b/examples/Stockagent/main.py @@ -0,0 +1,208 @@ +import argparse +import random +import pandas as pd +import openai +import tiktoken + +import util +from agent import Agent +from secretary import Secretary +from stock import Stock +from log.custom_logger import log +from record import create_stock_record, create_trade_record, AgentRecordDaily, create_agentses_record + +def get_agent(all_agents, order): + for agent in all_agents: + if agent.order == order: + return agent + return None + +def handle_action(action, stock_deals, all_agents, stock, session): + # action = JSON{"agent": 1, "action_type": "buy"|"sell", "stock": "A"|"B", "amount": 10, "price": 10} + try: + if action["action_type"] == "buy": + for sell_action in stock_deals["sell"][:]: + if action["price"] == sell_action["price"]: + # 交易成交 + close_amount = min(action["amount"], sell_action["amount"]) + get_agent(all_agents, action["agent"]).buy_stock(stock.name, close_amount, action["price"]) + if not sell_action["agent"] == -1: # B发行 + get_agent(all_agents, sell_action["agent"]).sell_stock(stock.name, close_amount, action["price"]) + stock.add_session_deal({"price": action["price"], "amount": close_amount}) + create_trade_record(action["date"], session, stock.name, action["agent"], sell_action["agent"], + close_amount, action["price"]) + + if action["amount"] > close_amount: # 买单未结束，卖单结束，继续循环 + log.logger.info(f"ACTION - BUY:{action['agent']}, SELL:{sell_action['agent']}, " + f"STOCK:{stock.name}, PRICE:{action['price']}, AMOUNT:{close_amount}") + stock_deals["sell"].remove(sell_action) + action["amount"] -= close_amount + else: # 卖单未结束，买单结束 + log.logger.info(f"ACTION - BUY:{action['agent']}, SELL:{sell_action['agent']}, " + f"STOCK:{stock.name}, PRICE:{action['price']}, AMOUNT:{close_amount}") + sell_action["amount"] -= close_amount + return + # 遍历卖单后仍然有剩余 + stock_deals["buy"].append(action) + + else: + for buy_action in stock_deals["buy"][:]: + if action["price"] == buy_action["price"]: + # 交易成交 + close_amount = min(action["amount"], buy_action["amount"]) + get_agent(all_agents, action["agent"]).sell_stock(stock.name, close_amount, action["price"]) + get_agent(all_agents, buy_action["agent"]).buy_stock(stock.name, close_amount, action["price"]) + stock.add_session_deal({"price": action["price"], "amount": close_amount}) + create_trade_record(action["date"], session, stock.name, buy_action["agent"], action["agent"], + close_amount, action["price"]) + + if action["amount"] > close_amount: # 卖单未结束，买单结束，继续循环 + log.logger.info(f"ACTION - BUY:{buy_action['agent']}, SELL:{action['agent']}, " + f"STOCK:{stock.name}, PRICE:{action['price']}, AMOUNT:{close_amount}") + stock_deals["buy"].remove(buy_action) + action["amount"] -= close_amount + else: # 买单未结束，卖单结束 + log.logger.info(f"ACTION - BUY:{buy_action['agent']}, SELL:{action['agent']}, " + f"STOCK:{stock.name}, PRICE:{action['price']}, AMOUNT:{close_amount}") + buy_action["amount"] -= close_amount + return + stock_deals["sell"].append(action) + except Exception as e: + log.logger.error(f"handle_action error: {e}") + return + + +def simulation(args): + # init + secretary = Secretary(args.model) + stock_a = Stock("A", util.STOCK_A_INITIAL_PRICE, 0, is_new=False) + #stock_b = Stock("B", util.STOCK_B_INITIAL_PRICE, util.STOCK_B_PUBLISH, is_new=True) + stock_b = Stock("B", util.STOCK_B_INITIAL_PRICE, 0, is_new=False) + all_agents = [] + log.logger.debug("Agents initial...") + for i in range(0, util.AGENTS_NUM): # agents start from 0, -1 refers to admin + agent = Agent(i, stock_a.get_price(), stock_b.get_price(), secretary, args.model) + all_agents.append(agent) + log.logger.debug("cash: {}, stock a: {}, stock b:{}, debt: {}".format(agent.cash, agent.stock_a_amount, + agent.stock_b_amount, agent.loans)) + + # start simulation + last_day_forum_message = [] + stock_a_deals = {"sell": [], "buy": []} + stock_b_deals = {"sell": [], "buy": []} + # stock b publish + # stock_b_deals["sell"].append({"agent": -1, "amount": util.STOCK_B_PUBLISH, "price": util.STOCK_B_INITIAL_PRICE}) + + log.logger.debug("--------Simulation Start!--------") + for date in range(1, util.TOTAL_DATE + 1): + + log.logger.debug(f"--------DAY {date}---------") + # 除b发行外，删除前一天的所有交易 + stock_a_deals["sell"].clear() + stock_a_deals["buy"].clear() + stock_b_deals["buy"].clear() + + # tmp_action = next((action for action in stock_b_deals["sell"] if action["agent"] == -1), None) + stock_b_deals["sell"].clear() + # if tmp_action: + # tmp_action["price"] *= 0.9 # B发行折价 + # if tmp_action["price"] < 1: + # log.logger.warning("WARNING: STOCK B WITHDRAW FROM MARKET!!!") + # stock_b_deals["sell"].append(tmp_action) + + # check if an agent needs to repay loans + for agent in all_agents[:]: + agent.chat_history.clear() # 只保存当天的聊天记录 + agent.loan_repayment(date) + + # repayment days + if date in util.REPAYMENT_DAYS: + for agent in all_agents[:]: + agent.interest_payment() + + # deal with cash<0 agents + for agent in all_agents[:]: + if agent.is_bankrupt: + quit_sig = agent.bankrupt_process(stock_a.get_price(), stock_b.get_price()) + if quit_sig: + agent.quit = True + all_agents.remove(agent) + + # special events + if date == util.EVENT_1_DAY: + util.LOAN_RATE = util.EVENT_1_LOAN_RATE + last_day_forum_message.append({"name": -1, "message": util.EVENT_1_MESSAGE}) + if date == util.EVENT_2_DAY: + util.LOAN_RATE = util.EVENT_2_LOAN_RATE + last_day_forum_message.append({"name": -1, "message": util.EVENT_2_MESSAGE}) + + # agent decide whether to loan + daily_agent_records = [] + for agent in all_agents: + loan = agent.plan_loan(date, stock_a.get_price(), stock_b.get_price(), last_day_forum_message) + daily_agent_records.append(AgentRecordDaily(date, agent.order, loan)) + + for session in range(1, util.TOTAL_SESSION + 1): + log.logger.debug(f"SESSION {session}") + # 随机定义交易顺序 + sequence = list(range(len(all_agents))) + random.shuffle(sequence) + for i in sequence: + agent = all_agents[i] + # if agent.is_bankrupt: # cash<0的当天停止交易，交易时段结束后贩卖股票 + # continue + + action = agent.plan_stock(date, session, stock_a, stock_b, stock_a_deals, stock_b_deals) + proper, cash, valua_a, value_b = agent.get_proper_cash_value(stock_a.get_price(), stock_b.get_price()) + create_agentses_record(agent.order, date, session, proper, cash, valua_a, value_b, action) + action["agent"] = agent.order + action["date"] = date + if not action["action_type"] == "no": + if action["stock"] == 'A': + handle_action(action, stock_a_deals, all_agents, stock_a, session) + else: + handle_action(action, stock_b_deals, all_agents, stock_b, session) + + # 交易时段结束，更新股票价格 + stock_a.update_price(date) + stock_b.update_price(date) + create_stock_record(date, session, stock_a.get_price(), stock_b.get_price()) + + + # agent预测明天行动 + for idx, agent in enumerate(all_agents): + estimation = agent.next_day_estimate() + log.logger.info("Agent {} tomorrow estimation: {}".format(agent.order, estimation)) + if idx >= len(daily_agent_records): + break + daily_agent_records[idx].add_estimate(estimation) + daily_agent_records[idx].write_to_excel() + daily_agent_records.clear() + + # 交易日结束，论坛信息更新 + last_day_forum_message.clear() + log.logger.debug(f"DAY {date} ends, display forum messages...") + for agent in all_agents: + chat_history = agent.chat_history + message = agent.post_message() + log.logger.info("Agent {} says: {}".format(agent.order, message)) + last_day_forum_message.append({"name": agent.order, "message": message}) + + + + log.logger.debug("--------Simulation finished!--------") + log.logger.debug("--------Agents action history--------") + # for agent in all_agents: + # log.logger.debug(f"Agent {agent.order} action history:") + # log.logger.info(agent.action_history) + # log.logger.debug("--------Stock deal history--------") + # for stock in [stock_a, stock_b]: + # log.logger.debug(f"Stock {stock.name} deal history:") + # log.logger.info(stock.history) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--model", type=str, default="gemini-pro", help="model name") + args = parser.parse_args() + simulation(args) diff --git a/examples/Stockagent/prompt/agent_prompt.py b/examples/Stockagent/prompt/agent_prompt.py new file mode 100644 index 0000000..c363584 --- /dev/null +++ b/examples/Stockagent/prompt/agent_prompt.py @@ -0,0 +1,292 @@ +from procoder.prompt import * + +# BACKGROUND_PROMPT = NamedBlock( +# name="Background", +# content=""" +# 你是一名股票交易员，接下来你将在市场中模拟与其他交易员的交互。市场中一共有两支股票，分别为A和B，其中B为新上市的股票。 +# 接下来，请根据指令完成你的交易行动。 +# """ +# ) + +BACKGROUND_PROMPT = NamedBlock( + name="Background", + content=""" + You are a stock trader, and next you will simulate interactions with other traders in the market. + There are two stocks in the market, A and B, where B is the newly listed stock. + Next, please complete your trading actions according to the order. + """ +) + +# LASTDAY_FORUM_AND_STOCK_PROMPT = NamedBlock( +# name="Last Day Forum and Stock", +# content=""" +# 昨天交易截止后，A公司股票和B公司股票的股价分别是{stock_a_price}元/股和{stock_b_price}元/股。 +# 其他交易员在论坛上发布的帖子如下： +# {lastday_forum_message} +# """ +# ) + +LASTDAY_FORUM_AND_STOCK_PROMPT = NamedBlock( + name="Last Day Forum and Stock", + content=""" + After the close of trading yesterday, the stock prices of Company A and Company B + were {stock_a_price} dollars per share and {stock_b_price} dollars per share, respectively. + Posts by other traders on the forum are as follows: {lastday_forum_message} + """ +) + +# LOAN_TYPE_PROMPT = NamedVariable( +# refname="loan_type_prompt", +# name="Loan Type", +# content=""" +# 0. 1年期，基准利率{loan_rate1} +# 1. 2年期，基准利率{loan_rate2} +# 2. 3年期，基准利率{loan_rate3} +# """ +# ) + +LOAN_TYPE_PROMPT = NamedVariable( + refname="loan_type_prompt", + name="Loan Type", + content=""" + 0. 22days, the benchmark interest rate {loan_rate1} + 1. 44days, the benchmark interest rate {loan_rate2} + 2. 66days, the benchmark interest rate {loan_rate3} + """ +) + +# DECIDE_IF_LOAN_PROMPT = NamedBlock( +# name="Instruction", +# content=""" +# 现在是第{date}天，你当前的性格是{character}，持有{stock_a}股A公司股票，持有{stock_b}股B公司股票， +# 现在你有{cash}元现金，贷款情况为{debt}。 +# 你需要决定是否继续贷款和贷款金额。 +# 可供选择的种类为{loan_type_prompt}，你应当用编号选择一个贷款种类。贷款金额不得超过{max_loan}。 +# 用json形式返回结果，例如： +# {{"loan": "yes", "loan_type": 3, "amount": 1000}} +# 如果不需贷款，则返回： +# {{"loan" : "no"}} +# """ +# ) + +DECIDE_IF_LOAN_PROMPT = NamedBlock( + name="Instruction", + content=""" + It is the {date} day, and your current character is {character}. + You hold {stock_a} shares of Company A, {stock_b} shares of Company B, + Now you have {cash} dollars in cash and {debt} in your loan situation. + You need to decide whether to continue the loan and the amount of the loan. + The alternative type is {loan_type_prompt}, and you should use the number to select a loan type. + The loan amount shall not exceed {max_loan}. + + Return the result as json, for example: + {{"loan": "yes", "loan_type": 3, "amount": 1000}} + + If no loan is required, return: + {{"loan" : "no"}} + """ +) + +# LOAN_RETRY_PROMPT = NamedBlock( +# name="Instruction", +# content=""" +# The following questions appeared in the loan format you last answered: {fail_response}. +# 你应当用json形式返回结果，例如： +# {{"loan": "yes", "loan_type": 2, "amount": 1000}} +# 如果不需贷款，则返回： +# {{"loan" : "no"}} +# Please answer again.""" +# ) + +LOAN_RETRY_PROMPT = NamedBlock( + name="Instruction", + content=""" + The following questions appeared in the loan format you last answered: {fail_response}. + You should return the results as json, for example: + {{"loan": "yes", "loan_type": 2, "amount": 1000}} + If no loan is required, return: + {{"loan" : "no"}} + Please answer again.""" +) + +# DECIDE_BUY_STOCK_PROMPT = NamedBlock( +# name="Instruction", +# content=""" +# 现在是第{date}天的{time}交易时段，前一时段结束后，A公司的股票股价为{stock_a_price}，B公司的股票股价为{stock_b_price}。 +# 在目前时段，股票A的买卖盘为{stock_a_deals}，股票B的买卖盘为{stock_b_deals} +# 你当前持有{stock_a}股A公司股票，持有{stock_b}股B公司股票，{cash}元现金。 +# 你需要决定是否购买/卖出A公司或B公司的股票，以及购买/卖出的数量与价格。你可以参考当前股价和大盘自己决定价格，无需确定为当前股价。数量必须为整数。 +# 鼓励尽可能多地买入和卖出。 +# 用json形式返回结果，例如： +# {{"action_type":"buy"|"sell", "stock":"A"|"B", amount: 100, price : 30}} +# 如果既不购买也不卖出，则返回： +# {{"action_type" : "no"}}""" +# ) + +DECIDE_BUY_STOCK_PROMPT = NamedBlock( + name="Instruction", + content=""" + It is the {time} trading session on the {date} day, and after the previous session, + the stock price of Company A is {stock_a_price} and the stock price of Company B is {stock_b_price}. + In the current session, the buy and sell order of stock A is {stock_a_deals}, + and the buy and sell order of stock B is {stock_b_deals} + You currently hold {stock_a} shares of Company A, {stock_b} shares of Company B, and {cash} yuan in cash. + You need to decide whether to buy/sell shares of Company A or Company B, and how much to buy/sell and at what price. + You can refer to the current share price and the market to determine the price yourself, not the current share price. + The quantity must be an integer. + We encourage you to buy and sell more. You can only answer one json action. + Return the result as json, for example: + {{"action_type":"buy"|"sell", "stock":"A"|"B", amount: 100, price : 30.1}} + If neither buy nor sell, return: + {{"action_type" : "no"}} + """ +) + +# BUY_STOCK_RETRY_PROMPT = NamedBlock( +# name="Instruction", +# content=""" +# The following questions appeared in the action format you last answered: {fail_response}. +# 你应当用json形式返回结果，例如： +# {{"action_type":"buy"|"sell", "stock":"A"|"B", amount: 100, price: 30}} +# 如果既不购买也不卖出，则返回： +# {{"action_type" : "no"}} +# Please answer again.""" +# ) + +BUY_STOCK_RETRY_PROMPT = NamedBlock( + name="Instruction", + content=""" + The following questions appeared in the action format you last answered: {fail_response}. + You should return the result as json, for example: + {{"action_type":"buy"|"sell", "stock":"A"|"B", amount: 100, price: 30.1}} + If neither buy nor sell, return: + {{"action_type" : "no"}} + Please answer again. You can only answer one json action. + """ +) + +# FIRST_DAY_FINANCIAL_REPORT = NamedVariable( +# refname="first_day_financial_report", +# name="The initial financial situation of Stock A and B", +# content=""" +# ●公司A：这只股票超级棒！ +# ●公司B：这只股票风险大收益大！""" +# ) + +FIRST_DAY_FINANCIAL_REPORT = NamedVariable( + refname="first_day_financial_prompt", + name="The last 3 years financial report of Stock A and B", + content=""" + The following lists the financial data for the past three years, covering a total of twelve quarters. + Stock A: + Revenue million: 3696.19, 3578.00, 3595.49, 3215.64, 3973.40, 3810.57, 3840.70, 3433.02, 4344.52, 4095.22, 4114.16, 3717.96 + Net profit million: 127.711441, 217.9586418, 360.756337, 358.08228, 650.8868033, 693.3022798, 433.2338757, 517.0593354, 712.7358875, 628.310145, 250.5046675, 325.5147258 + Cash flow million: 30.0950631, 135.4141818, 344.3249477, 279.5563512, 564.624197, 642.8122273, 350.3899245, 493.4058465, 650.6526937, 579.0037013, 185.7066407, 273.1287018 + Stock B: + Revenue million: 570.00, 774.00, 643.00, 995.00, 684.46, 934.37, 782.08, 1204.05, 788.29, 1100.32, 914.96, 1418.37 + Net profit million: 85.9691, 142.086, 87.5419224, 135.7643678, 132.7973368, 169.6505746, 194.9436163, 272.1084953, 225.1707811, 356.7201332 + Cash flow million: 68.97, 90.171, 82.1754, 124.773, 75.4954968, 123.5240842, 132.7191287, 153.7571212, 194.9436163, 261.1053212, 216.3871992, 345.6568448 + """ +) + +FIRST_DAY_BACKGROUND_KNOWLEDGE = NamedBlock( + name="The initial financial situation of Stock A and B", + content=""" + + Company A has been listed for 10 years, deeply rooted in the chemical industry. However, the company's operations + have encountered bottlenecks, with revenues declining over the past three years. + Although Company A's performance has declined over the past five years, the overall trend is stable. With the recent + CEO change and the exploration of new business avenues, the new CEO appears more proactive compared to the + previous one. The future operational outlook is expected to improve. + + Company B, as a technology company, has just been listed for three years and is in a period of business growth. + Last year, its revenue declined due to the overall tech environment, but the company's operations remain robust. + According to the latest corporate news, it is expected that the future revenue growth rate will return to over 20%. + In the short term, the stock price is expected to continue rising. + While Company B's operations are good, there is a history of concealing critical data before its IPO, casting doubt + on the reliability of its revenue. + Company B recently received government inquiries regarding recent operational and stock price fluctuations, and it + provided explanations while committing to allocate more resources to social services. + + The government recently held talks with both Company A and Company B, actively encouraging their contributions + to society. Subsequently, agreements on government subsidies were signed with both companies. + + The last 3 years financial report of stock A and B is listed in {first_day_financial_prompt}. + """ +) + +# SEASONAL_FINANCIAL_REPORT = NamedVariable( +# refname="seasonal_financial_report", +# name="The Seasonal financial report of Stock A and B", +# content=""" +# Stock A: {stock_a_report} +# Stock B: {stock_b_report} +# """ +# ) + +SEASONAL_FINANCIAL_REPORT = NamedVariable( + refname="seasonal_financial_report", + name="The Seasonal financial report of Stock A and B", + content=""" + Stock A: {stock_a_report} + Stock B: {stock_b_report} + """ +) + +# POST_MESSAGE_PROMPT = NamedBlock( +# refname="post_message", +# name="Instruction", +# content=""" +# 当前交易日结束了，请在论坛上简短地发表你的交易心得，并将其发布在论坛上。你发布的内容将对所有交易员公开可见。回答中只包含需要发布的内容。""" +# ) + +POST_MESSAGE_PROMPT = NamedBlock( + refname="post_message", + name="Instruction", + content=""" + The current trading day is over, please briefly post your trading tips on the forum and post them on the forum. + What you post will be publicly visible to all traders. The responses contain only what needs to be posted. + """ +) + +# NEXT_DAY_ESTIMATE_PROMPT = NamedBlock( +# refname="next_day_estimate", +# name="Instruction", +# content=""" +# 请根据当前交易日的大盘信息和论坛信息，预估明天你是否会买入、卖出股票A和股票B，以及是否会选择贷款。预计会进行的行动标记为yes，不会进行标记为no。 +# 用json格式返回结果，例如： +# {{"buy_A":"yes", "buy_B":"no", "sell_A":"yes", "sell_B": "no", "loan": "yes"}} +# """ +# ) + +NEXT_DAY_ESTIMATE_PROMPT = NamedBlock( + refname="next_day_estimate", + name="Instruction", + content=""" + Based on the market information and forum information of the current trading day, + please estimate whether you will buy and sell stock A and stock B tomorrow, and whether you will choose loan. + Actions that are expected to take place are marked yes, and actions that will not take place are marked no. + Return the result in json format, for example: + {{"buy_A":"yes", "buy_B":"no", "sell_A":"yes", "sell_B": "no", "loan": "yes"}} + """ +) + +# NEXT_DAY_ESTIMATE_RETRY = NamedBlock( +# refname="next_day_estimate_retry", +# name="Instruction", +# content=""" +# The following questions appeared in the JSON format you last answered: {fail_response}. +# 用json格式返回结果，例如： +# {{"buy_A":"yes", "buy_B":"no", "sell_A":"yes", "sell_B": "no", "loan": "yes"}} +# """ +# ) + +NEXT_DAY_ESTIMATE_RETRY = NamedBlock( + refname="next_day_estimate_retry", + name="Instruction", + content=""" + The following questions appeared in the JSON format you last answered: {fail_response}. + Return the result in json format, for example: + {{"buy_A":"yes", "buy_B":"no", "sell_A":"yes", "sell_B": "no", "loan": "yes"}} + """ +) \ No newline at end of file diff --git a/examples/Stockagent/record.py b/examples/Stockagent/record.py new file mode 100644 index 0000000..13685e8 --- /dev/null +++ b/examples/Stockagent/record.py @@ -0,0 +1,141 @@ +import pandas as pd +import os + +# 交易记录 +class TradeRecord: + def __init__(self, date, session, stock_type, buyer, seller, quantity, price): + self.date = date + self.session = session + self.stock_type = stock_type + self.buyer = buyer + self.seller = seller + self.quantity = quantity + self.price = price + + def write_to_excel(self, file_name="res/trades.xlsx"): + if os.path.isfile(file_name): + existing_df = pd.read_excel(file_name) + else: + existing_df = pd.DataFrame(columns=["交易日", "交易阶段", "股票类型", "买入交易员", "卖出交易员", "交易数量", "交易价格"]) + + # 将新的交易记录合并到现有DataFrame + new_records = [[self.date, self.session, self.stock_type, self.buyer, self.seller, self.quantity, self.price]] + new_df = pd.DataFrame(new_records, columns=existing_df.columns) + all_records_df = pd.concat([existing_df, new_df], ignore_index=True) + + # 将所有记录写入到Excel文件 + all_records_df.to_excel(file_name, index=False) + +def create_trade_record(date, stage, stock, buy_trader, sell_trader, amount, price): + record = TradeRecord(date, stage, stock, buy_trader, sell_trader, amount, price) + record.write_to_excel() + record = None + +# 将交易记录列表写入Excel文件（如果文件不存在则创建） + +class StockRecord: + def __init__(self, date, session, stock_a_price, stock_b_price): + self.date = date + self.session = session + self.stock_a_price = stock_a_price + self.stock_b_price = stock_b_price + + def write_to_excel(self, file_name="res/stocks.xlsx"): + if os.path.isfile(file_name): + existing_df = pd.read_excel(file_name) + else: + existing_df = pd.DataFrame(columns=["交易日", "第几个交易阶段", "阶段结束后股票A价格", "阶段结束后股票B价格"]) + + # 将新的交易记录合并到现有DataFrame + new_records = [[self.date, self.session, self.stock_a_price, self.stock_b_price]] + new_df = pd.DataFrame(new_records, columns=existing_df.columns) + all_records_df = pd.concat([existing_df, new_df], ignore_index=True) + + # 将所有记录写入到Excel文件 + all_records_df.to_excel(file_name, index=False) + +def create_stock_record(date, session, stock_a_price, stock_b_price): + record = StockRecord(date, session, stock_a_price, stock_b_price) + record.write_to_excel() + record = None + + +class AgentRecordDaily: + def __init__(self, agent, date, loan_json): + self.agent = agent + self.date = date + self.if_loan = loan_json["loan"] + self.loan_type = 0 + self.loan_amount = 0 + if self.if_loan == "yes": + self.loan_type = loan_json["loan_type"] + self.loan_amount = loan_json["amount"] + self.will_loan = "no" + self.will_buy_a = "no" + self.will_sell_a = "no" + self.will_buy_b = "no" + self.will_sell_b = "no" + + def add_estimate(self, js): + self.will_loan = js["loan"] + self.will_buy_a = js["buy_A"] + self.will_sell_a = js["sell_A"] + self.will_buy_b = js["buy_B"] + self.will_sell_b = js["sell_B"] + + def write_to_excel(self, file_name="res/agent_day_record.xlsx"): + if os.path.isfile(file_name): + existing_df = pd.read_excel(file_name) + else: + existing_df = pd.DataFrame(columns=["交易员", "交易日", "是否贷款", "贷款类型", "贷款数量", + "明日是否贷款", "明日是否买入A", "明日是否卖出A", "明日是否买入B", "明日是否卖出B"]) + + # 将新的交易记录合并到现有DataFrame + new_records = [[self.agent, self.date, self.if_loan, self.loan_type, self.loan_amount, + self.will_loan, self.will_buy_a, self.will_sell_a, self.will_buy_b, self.will_sell_b]] + new_df = pd.DataFrame(new_records, columns=existing_df.columns) + all_records_df = pd.concat([existing_df, new_df], ignore_index=True) + + # 将所有记录写入到Excel文件 + all_records_df.to_excel(file_name, index=False) + +class AgentRecordSession: + def __init__(self, agent, date, session, proper, cash, stock_a_value, stock_b_value, action_json): + self.agent = agent + self.date = date + self.session = session + self.proper = proper + self.cash = cash + self.stock_a_value = stock_a_value + self.stock_b_value = stock_b_value + self.action_stock = "-" + self.amount = 0 + self.price = 0 + self.action_type = action_json["action_type"] + if not self.action_type == "no": + self.action_stock = action_json["stock"] + self.amount = action_json["amount"] + self.price = action_json["price"] + + def write_to_excel(self, file_name="res/agent_session_record.xlsx"): + if os.path.isfile(file_name): + existing_df = pd.read_excel(file_name) + else: + existing_df = pd.DataFrame(columns=["交易员", "交易日", "交易阶段", "交易前资产总额", + "交易前持有现金", "交易前持有的A股价值", "交易前持有的B股价值", + "挂单类型", "挂单股票类别", "挂单数量", "挂单价格"]) + + # 将新的交易记录合并到现有DataFrame + new_records = [[self.agent, self.date, self.session, self.proper, self.cash, + self.stock_a_value, self.stock_b_value, self.action_type, self.action_stock, + self.amount, self.price]] + new_df = pd.DataFrame(new_records, columns=existing_df.columns) + all_records_df = pd.concat([existing_df, new_df], ignore_index=True) + + # 将所有记录写入到Excel文件 + all_records_df.to_excel(file_name, index=False) + +def create_agentses_record(agent, date, session, proper, cash, stock_a_value, stock_b_value, action_json): + record = AgentRecordSession(agent, date, session, proper, cash, stock_a_value, stock_b_value, action_json) + record.write_to_excel() + record = None diff --git a/examples/Stockagent/requirements.txt b/examples/Stockagent/requirements.txt new file mode 100644 index 0000000..5d5c00e --- /dev/null +++ b/examples/Stockagent/requirements.txt @@ -0,0 +1,58 @@ +annotated-types==0.7.0 +anyio==4.11.0 +black==25.9.0 +cachetools==6.2.1 +certifi==2025.10.5 +charset-normalizer==3.4.4 +click==8.3.0 +colorama==0.4.4 +distro==1.9.0 +et_xmlfile==2.0.0 +google-ai-generativelanguage==0.6.15 +google-api-core==2.27.0 +google-api-python-client==2.185.0 +google-auth==2.41.1 +google-auth-httplib2==0.2.0 +google-generativeai==0.8.5 +googleapis-common-protos==1.71.0 +grpcio==1.76.0 +grpcio-status==1.71.2 +h11==0.16.0 +httpcore==1.0.9 +httplib2==0.31.0 +httpx==0.28.1 +idna==3.11 +jiter==0.11.1 +mypy_extensions==1.1.0 +numpy==2.3.4 +openai==2.6.1 +openpyxl==3.1.5 +packaging==25.0 +pandas==2.3.3 +pathspec==0.12.1 +platformdirs==4.5.0 +procoder @ git+https://github.com/dhh1995/PromptCoder@87155427e93f6ab95dbd658d7f500c2cedc05af6 +proto-plus==1.26.1 +protobuf==5.29.5 +pyasn1==0.6.1 +pyasn1_modules==0.4.2 +pydantic==2.12.3 +pydantic_core==2.41.4 +pyparsing==3.2.5 +python-dateutil==2.9.0.post0 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z9YXmv3;kMMEs7wo>l!qTM|q@^N_Y?c>}+As(Hvf{vN{d{l1*3R2CSz$Y!pZK$isU~ z#8+Wf+tVDdg%`x924dRBEO{QgxSiz#Ob4Es9OuTg-Xz)QJH8W${P-?y;;_%s2w99; z!@{P-`QOtV3~PQLP)vmX|7_7gwQI>-OJJeT*>qM-{&cyjlnU2Fl#{ zYvuo`idVr`^ZajcDyF7l;`TqX{;Hj;sr0uUC}y(vUlL149S@`H0RRHbDTArt1HYzc Gfd2zppa3xd literal 0 HcmV?d00001 diff --git a/examples/Stockagent/runagent.config.json b/examples/Stockagent/runagent.config.json new file mode 100644 index 0000000..cf4e4c0 --- /dev/null +++ b/examples/Stockagent/runagent.config.json @@ -0,0 +1,32 @@ +{ + "agent_name": "StockAgent Multi-Agent Trading Simulator", + "description": "LLM-based multi-agent stock trading simulation with real-world market factors", + "framework": "default", + "template": "stockagent", + "version": "1.0.0", + "created_at": "2025-10-24 00:00:00", + "template_source": { + "repo_url": "https://github.com/dhh1995/StockAgent", + "path": "templates/stockagent", + "author": "stockagent-team" + }, + "agent_architecture": { + "entrypoints": [ + + { + "file": "runagent_wrapper.py", + "module": "stream_simulation", + "tag": "simulate_stream" + }, + { + "file": "runagent_wrapper.py", + "module": "get_simulation_status", + "tag": "status" + } + ] + }, + "env_vars": { + "OPENAI_API_KEY": "", + "GOOGLE_API_KEY": "" + } +} \ No newline at end of file diff --git a/examples/Stockagent/runagent_wrapper.py b/examples/Stockagent/runagent_wrapper.py new file mode 100644 index 0000000..4939732 --- /dev/null +++ b/examples/Stockagent/runagent_wrapper.py @@ -0,0 +1,374 @@ +""" +RunAgent Wrapper for StockAgent - RUNS REAL SIMULATION WITH FULL LOGGING +""" +import json +import time +import sys +import io +import logging +from typing import Dict, Any, Iterator +from dataclasses import dataclass, asdict +import os +import random +from contextlib import redirect_stdout, redirect_stderr + +# Import StockAgent modules +from main import handle_action +from agent import Agent +from stock import Stock +import util + + +@dataclass +class SimulationUpdate: + """Structure for simulation updates""" + type: str + day: int + session: int = 0 + message: str = "" + data: Dict[str, Any] = None + timestamp: float = None + + def __post_init__(self): + if self.timestamp is None: + self.timestamp = time.time() + if self.data is None: + self.data = {} + + +class LogCapture: + """Captures all log output and yields it""" + def __init__(self): + self.buffer = io.StringIO() + self.logs = [] + + def write(self, text): + if text and text.strip(): + self.logs.append(text) + self.buffer.write(text) + + def flush(self): + self.buffer.flush() + + def get_logs(self): + """Get and clear accumulated logs""" + logs = self.logs.copy() + self.logs.clear() + return logs + + +class StockAgentRunner: + """Wrapper class to run StockAgent simulations""" + + def __init__(self): + self.simulation_state = { + "status": "ready", + "current_day": 0, + "total_days": 0, + "agents": [], + "stocks": {}, + "events": [] + } + + def stream_simulation( + self, + num_agents: int = 10, + total_days: int = 30, + sessions_per_day: int = 3, + model: str = "gpt-4o-mini", + stock_a_price: float = 30.0, + stock_b_price: float = 40.0, + enable_events: bool = True + ) -> Iterator[Dict[str, Any]]: + """Stream REAL simulation with LLM agents and ALL logs""" + + # Setup log capturing + log_capture = LogCapture() + + # Get the StockAgent logger and add our handler + from log.custom_logger import log as stock_logger + capture_handler = logging.StreamHandler(log_capture) + capture_handler.setLevel(logging.DEBUG) + stock_logger.logger.addHandler(capture_handler) + + try: + yield asdict(SimulationUpdate( + type="init", + day=0, + message="🚀 Initializing REAL StockAgent simulation...", + data={ + "num_agents": num_agents, + "total_days": total_days, + "sessions_per_day": sessions_per_day, + "model": model + } + )) + + # Update util settings + util.AGENTS_NUM = num_agents + util.TOTAL_DATE = total_days + util.TOTAL_SESSION = sessions_per_day + util.STOCK_A_INITIAL_PRICE = stock_a_price + util.STOCK_B_INITIAL_PRICE = stock_b_price + + if not enable_events: + util.EVENT_1_DAY = total_days + 1 + util.EVENT_2_DAY = total_days + 2 + + # Run REAL simulation with log streaming + for update in self._run_real_simulation_streaming(model, log_capture): + yield asdict(update) + + yield asdict(SimulationUpdate( + type="complete", + day=total_days, + message="🎉 Real simulation completed!", + data=self._collect_results() + )) + + except Exception as e: + import traceback + yield asdict(SimulationUpdate( + type="error", + day=0, + message=f"❌ Error: {str(e)}", + data={"error": str(e), "traceback": traceback.format_exc()} + )) + finally: + # Remove our handler + stock_logger.logger.removeHandler(capture_handler) + + def _run_real_simulation_streaming(self, model: str, log_capture: LogCapture) -> Iterator[SimulationUpdate]: + """REAL simulation with actual LLM calls and log streaming""" + from secretary import Secretary + from log.custom_logger import log + from record import create_stock_record + + secretary = Secretary(model) + stock_a = Stock("A", util.STOCK_A_INITIAL_PRICE, 0, is_new=False) + stock_b = Stock("B", util.STOCK_B_INITIAL_PRICE, 0, is_new=False) + + all_agents = [] + log.logger.info("🤖 Initializing LLM agents...") + + # Yield any logs from initialization + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=0, + message=log_line.strip() + ) + + for i in range(util.AGENTS_NUM): + agent = Agent(i, stock_a.get_price(), stock_b.get_price(), secretary, model) + all_agents.append(agent) + + # Yield logs after each agent creation + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=0, + message=log_line.strip() + ) + + yield SimulationUpdate( + type="agents_initialized", + day=0, + message=f"✅ Initialized {len(all_agents)} REAL LLM agents", + data={"num_agents": len(all_agents)} + ) + + last_day_forum_message = [] + stock_a_deals = {"sell": [], "buy": []} + stock_b_deals = {"sell": [], "buy": []} + + for date in range(1, util.TOTAL_DATE + 1): + stock_a_deals["sell"].clear() + stock_a_deals["buy"].clear() + stock_b_deals["buy"].clear() + stock_b_deals["sell"].clear() + + for agent in all_agents[:]: + agent.chat_history.clear() + agent.loan_repayment(date) + + # Yield logs + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + message=log_line.strip() + ) + + if date in util.REPAYMENT_DAYS: + for agent in all_agents[:]: + agent.interest_payment() + + # Yield logs + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + message=log_line.strip() + ) + + for agent in all_agents[:]: + if agent.is_bankrupt: + quit_sig = agent.bankrupt_process(stock_a.get_price(), stock_b.get_price()) + if quit_sig: + agent.quit = True + all_agents.remove(agent) + + # Yield logs + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + message=log_line.strip() + ) + + if date == util.EVENT_1_DAY: + util.LOAN_RATE = util.EVENT_1_LOAN_RATE + last_day_forum_message.append({"name": -1, "message": util.EVENT_1_MESSAGE}) + + if date == util.EVENT_2_DAY: + util.LOAN_RATE = util.EVENT_2_LOAN_RATE + last_day_forum_message.append({"name": -1, "message": util.EVENT_2_MESSAGE}) + + yield SimulationUpdate( + type="day_start", + day=date, + message=f"📅 Day {date}/{util.TOTAL_DATE}", + data={ + "stock_a_price": stock_a.get_price(), + "stock_b_price": stock_b.get_price(), + "active_agents": len(all_agents) + } + ) + + # REAL LLM CALLS FOR LOANS + for agent in all_agents: + loan = agent.plan_loan(date, stock_a.get_price(), stock_b.get_price(), last_day_forum_message) + + # Yield logs after each loan decision + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + message=log_line.strip() + ) + + for session in range(1, util.TOTAL_SESSION + 1): + trades_count = 0 + sequence = list(range(len(all_agents))) + random.shuffle(sequence) + + # REAL LLM CALLS FOR TRADING + for i in sequence: + agent = all_agents[i] + action = agent.plan_stock(date, session, stock_a, stock_b, stock_a_deals, stock_b_deals) + + # Yield logs after each trading decision + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + session=session, + message=log_line.strip() + ) + + if action.get("action_type") != "no": + trades_count += 1 + action["agent"] = agent.order + action["date"] = date + + if action["stock"] == 'A': + handle_action(action, stock_a_deals, all_agents, stock_a, session) + else: + handle_action(action, stock_b_deals, all_agents, stock_b, session) + + # Yield logs after action handling + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + session=session, + message=log_line.strip() + ) + + stock_a.update_price(date) + stock_b.update_price(date) + create_stock_record(date, session, stock_a.get_price(), stock_b.get_price()) + + yield SimulationUpdate( + type="session", + day=date, + session=session, + message=f"⏰ Session {session} - {trades_count} trades", + data={ + "stock_a_price": stock_a.get_price(), + "stock_b_price": stock_b.get_price(), + "trades": trades_count + } + ) + + # Yield any remaining logs from session + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + session=session, + message=log_line.strip() + ) + + # REAL LLM CALLS FOR FORUM POSTS + last_day_forum_message.clear() + for agent in all_agents: + message = agent.post_message() + last_day_forum_message.append({"name": agent.order, "message": message}) + + # Yield logs after each forum post + for log_line in log_capture.get_logs(): + yield SimulationUpdate( + type="log", + day=date, + message=log_line.strip() + ) + + yield SimulationUpdate( + type="day_end", + day=date, + message=f"✅ Day {date} done", + data={ + "stock_a_price": stock_a.get_price(), + "stock_b_price": stock_b.get_price(), + "surviving_agents": len(all_agents) + } + ) + + + + def _collect_results(self) -> Dict[str, Any]: + results = {"trades": [], "stock_prices": [], "agent_performance": []} + try: + import pandas as pd + if os.path.exists("res/trades.xlsx"): + results["trades"] = pd.read_excel("res/trades.xlsx").to_dict('records') + if os.path.exists("res/stocks.xlsx"): + results["stock_prices"] = pd.read_excel("res/stocks.xlsx").to_dict('records') + except: pass + return results + + +runner = StockAgentRunner() + + +def stream_simulation(**kwargs) -> Iterator[Dict[str, Any]]: + """Streaming simulation - yields updates AND logs in real-time""" + for update in runner.stream_simulation(**kwargs): + yield update + + +def get_simulation_status() -> Dict[str, Any]: + """Get current simulation status""" + return runner.simulation_state \ No newline at end of file diff --git a/examples/Stockagent/secretary.py b/examples/Stockagent/secretary.py new file mode 100644 index 0000000..369ce87 --- /dev/null +++ b/examples/Stockagent/secretary.py @@ -0,0 +1,221 @@ +import json +import os +import openai +from log.custom_logger import log + + +def run_api(model, prompt, temperature: float = 0): + openai.api_key = "" + client = openai.OpenAI(api_key=openai.api_key) + response = client.chat.completions.create( + model=model, + messages=[ + {"role": "user", "content": prompt}, + ], + temperature=temperature, + ) + resp = response.choices[0].message.content + return resp + + +class Secretary: + def __init__(self, model): + self.model = model + + def get_response(self, prompt): + return run_api(self.model, prompt) + + """ + 用json形式返回结果，例如： + {{{{"loan": "yes", "loan_type": 3, "amount": 1000}}}} + 如果不需贷款，则返回： + {{{{"loan" : "no"}}}} + :returns: loan_format_check, fail_response, loan + """ + + def check_loan(self, resp, max_loan) -> (bool, str, dict): + # format check + if isinstance(resp, str) and resp.count('{') == 1 and resp.count('}') == 1: + start_idx = resp.index('{') + end_idx = resp.index('}') + else: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Wrong json format, there is no {} or more than one {} in response." + return False, fail_response, None + + action_json = resp[start_idx: end_idx + 1] + action_json = action_json.replace("\n", "").replace(" ", "") + try: + parsed_json = json.loads(action_json) + except json.JSONDecodeError as e: + print(e) + log.logger.debug("Illegal json content in response: {}".format(resp)) + fail_response = "Illegal json format." + return False, fail_response, None + + # content check + try: + if "loan" not in parsed_json: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Key 'loan' not in response." + return False, fail_response, None + + if parsed_json["loan"].lower() not in ["yes", "no"]: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Value of key 'loan' should be yes or no." + return False, fail_response, None + + if parsed_json["loan"].lower() == "no": + if "loan_type" in parsed_json or "amount" in parsed_json: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Don't include loan_type or amount in response if value of key 'loan' is no." + return False, fail_response, None + else: + return True, "", parsed_json + + if parsed_json["loan"].lower() == "yes": + if "loan_type" not in parsed_json or "amount" not in parsed_json: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Should include loan_type and amount in response if value of key 'loan' is yes." + return False, fail_response, None + if parsed_json["loan_type"] not in [0, 1, 2]: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Value of key 'loan_type' should be 0, 1 or 2." + return False, fail_response, None + if parsed_json["amount"] <= 0 or parsed_json["amount"] > max_loan: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = f"Value of key 'amount' should be positive and less than {max_loan}" + return False, fail_response, None + return True, "", parsed_json + + log.logger.error("UNSOLVED LOAN JSON RESPONSE:{}".format(parsed_json)) + return False, "", None + except Exception as e: + log.logger.error("UNSOLVED LOAN JSON RESPONSE:{}".format(parsed_json)) + return False, "", None + + def check_action(self, resp, cash, stock_a_amount, + stock_b_amount, stock_a_price, stock_b_price) -> (bool, str, dict): + # format check + if isinstance(resp, str) and resp.count('{') == 1 and resp.count('}') == 1: + start_idx = resp.index('{') + end_idx = resp.index('}') + else: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Wrong json format, there is no {} or more than one {} in response." + return False, fail_response, None + + action_json = resp[start_idx: end_idx + 1] + action_json = action_json.replace("\n", "").replace(" ", "") + try: + parsed_json = json.loads(action_json) + except json.JSONDecodeError as e: + print(e) + log.logger.debug("Illegal json content in response: {}".format(resp)) + fail_response = "Illegal json format." + return False, fail_response, None + + # content check + try: + prices = {"A": stock_a_price, "B": stock_b_price} + holds = {"A": stock_a_amount, "B": stock_b_amount} + if "action_type" not in parsed_json: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Key 'action_type' not in response." + return False, fail_response, None + + if parsed_json["action_type"].lower() not in ["buy", "sell", "no"]: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Value of key 'action_type' should be 'buy', 'sell' or 'no'." + return False, fail_response, None + + if parsed_json["action_type"].lower() == "no": + if "stock" in parsed_json or "amount" in parsed_json: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Don't include stock or amount in response if value of key 'action_type' is no." + return False, fail_response, None + else: + return True, "", parsed_json + else: + if "stock" not in parsed_json or "amount" not in parsed_json or "price" not in parsed_json: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Should include stock, amount and price in response " \ + "if value of key 'action_type' is buy or sell." + return False, fail_response, None + if parsed_json["stock"] not in ['A', 'B']: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Value of key 'stock' should be 'A' or 'B'." + return False, fail_response, None + if parsed_json["price"] <= 0: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = f"Value of key 'price' should be positive." + return False, fail_response, None + if not isinstance(parsed_json["amount"], int): + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = f"Value of key 'amount' should be integer." + return False, fail_response, None + + # buy more than cash or sell more than hold amount + # price = prices[parsed_json["stock"]] + price = parsed_json["price"] + if parsed_json["action_type"].lower() == "buy": + if parsed_json["amount"] <= 0 or parsed_json["amount"] * price > cash: + log.logger.debug("Buy more than cash: {}".format(resp)) + fail_response = f"The cash you have now is {cash}, " \ + f"the value of 'amount' * 'price' " \ + f"should be positive and not exceed cash." + return False, fail_response, None + + hold_amount = holds[parsed_json["stock"]] + if parsed_json["action_type"].lower() == "sell": + if parsed_json["amount"] <= 0 or parsed_json["amount"] > hold_amount: + log.logger.debug("Sell more than hold: {}".format(resp)) + fail_response = f"The amount of stock you hold is {hold_amount}, " \ + f"the value of 'amount' should be positive and not exceed the " \ + f"amount of stock you hold." + return False, fail_response, None + return True, "", parsed_json + + except Exception as e: + log.logger.error("UNSOLVED ACTION JSON RESPONSE:{}".format(parsed_json)) + return False, "", None + + def check_estimate(self, resp): + # format check + if isinstance(resp, str) and resp.count('{') == 1 and resp.count('}') == 1: + start_idx = resp.index('{') + end_idx = resp.index('}') + else: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Wrong json format, there is no {} or more than one {} in response." + return False, fail_response, None + + action_json = resp[start_idx: end_idx + 1] + action_json = action_json.replace("\n", "").replace(" ", "") + try: + parsed_json = json.loads(action_json) + except json.JSONDecodeError as e: + print(e) + log.logger.debug("Illegal json content in response: {}".format(resp)) + fail_response = "Illegal json format." + return False, fail_response, None + + # content check + try: + if "buy_A" not in parsed_json or "buy_B" not in parsed_json \ + or "sell_A" not in parsed_json or "sell_B" not in parsed_json \ + or "loan" not in parsed_json: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Key 'buy_A', 'buy_B', 'sell_A', 'sell_B' and 'loan' should in response." + return False, fail_response, None + + for key, item in parsed_json.items(): + if item not in ['yes', 'no']: + log.logger.debug("Wrong json content in response: {}".format(resp)) + fail_response = "Value of all keys should be 'yes' or 'no'." + return False, fail_response, None + return True, "", parsed_json + + except Exception as e: + log.logger.error("UNSOLVED ESTIMATE JSON RESPONSE:{}".format(parsed_json)) + return False, "", None diff --git a/examples/Stockagent/stock.py b/examples/Stockagent/stock.py new file mode 100644 index 0000000..964c635 --- /dev/null +++ b/examples/Stockagent/stock.py @@ -0,0 +1,31 @@ +import util + +class Stock: + def __init__(self, name, initial_price, initial_stock, is_new=False): + self.name = name + self.price = initial_price + self.ideal_price = 0 + self.initial_stock = initial_stock + self.history = {} # {date: session_deal} + self.session_deal = [] # [{"price", "amount"}] + + def gen_financial_report(self, index): + if self.name == "A": + return util.FINANCIAL_REPORT_A[index] + elif self.name == "B": + return util.FINANCIAL_REPORT_B[index] + + def add_session_deal(self, price_and_amount): + self.session_deal.append(price_and_amount) + + def update_price(self, date): + if len(self.session_deal) == 0: + return + self.price = self.session_deal[-1]["price"] + self.history[date] = self.session_deal + self.session_deal.clear() + + def get_price(self): + return self.price + + diff --git a/examples/Stockagent/test_agent.py b/examples/Stockagent/test_agent.py new file mode 100644 index 0000000..c1a4f69 --- /dev/null +++ b/examples/Stockagent/test_agent.py @@ -0,0 +1,21 @@ +from runagent import RunAgentClient + +client = RunAgentClient( + agent_id="93f061de-1b0c-4b97-b9bd-0cabd43b2619 ", + entrypoint_tag="simulate_stream", +) + +# Run and print ALL output including logs +for update in client.run( + num_agents=5, + total_days=2, + sessions_per_day=2, + model="gpt-4o-mini" +): + # Print everything + if update.get('type') == 'log': + # Raw log output + print(update['message']) + else: + # Structured events + print(f"[{update['type']}] {update.get('message', '')}") \ No newline at end of file diff --git a/examples/Stockagent/util.py b/examples/Stockagent/util.py new file mode 100644 index 0000000..01d5cf1 --- /dev/null +++ b/examples/Stockagent/util.py @@ -0,0 +1,50 @@ +""" +DONT FORGET TO DELETE!!! +""" +OPENAI_API_KEY = "" +GOOGLE_API_KEY = "" + +# 基础设置 +AGENTS_NUM = 50 # 交易员数量 +TOTAL_DATE = 264 # 模拟时长 +TOTAL_SESSION = 3 # 每日交易次数 + +# 股票初始价格 +STOCK_A_INITIAL_PRICE = 30 +STOCK_B_INITIAL_PRICE = 40 +# STOCK_B_PUBLISH = 100 # 股票B发行数量 + +# agent初始财产 +MAX_INITIAL_PROPERTY = 5000000.0 +MIN_INITIAL_PROPERTY = 100000.0 + + +# 贷款 +LOAN_TYPE = ["one-month", "two-month", "three-month"] +LOAN_TYPE_DATE = [22, 44, 66] # 贷款时长 +LOAN_RATE = [0.027, 0.03, 0.033] # 贷款利率 + +REPAYMENT_DAYS = [22, 44, 66, 88, 110, 132, 154, 176, 198, 220, 242, 264] # 付息日 + +# 财报 +SEASONAL_DAYS = 66 # 一季度的时间 +SEASON_REPORT_DAYS = [12, 78, 144, 210] # 财报发布时间 +FINANCIAL_REPORT_A = ["Last quarter's financial report of Company A. Revenue growth rate (YoY): 9.49%, Revenue million: 4483.99, Gross margin: 41.05%, Income Tax as a percentage of Revenue: 11.31%, Selling Expense Rate:6.83%, Management Expense Rate: 3.83%, Net profit million: 856.6705, Depreciation and Amortization: 0.91%, Capital Expenditures: 2.30%, Changes in working capital: 0.82%, Cash Flow(million): 756.7537", + "Last quarter's financial report of Company A. Revenue growth rate (YoY): 7.38%, Revenue million: 4417.79, Gross margin: 35.68%, Income Tax as a percentage of Revenue: 11.75%, Selling Expense Rate:8.13%, Management Expense Rate: 4.62%, Net profit million: 493.9451, Depreciation and Amortization: 1.34%, Capital Expenditures: 2.68%, Changes in working capital: 0.86%, Cash Flow(million): 396.5329", + "Last quarter's financial report of Company A. Revenue growth rate (YoY): 8.70%, Revenue million: 4041.30, Gross margin: 37.45%, Income Tax as a percentage of Revenue: 9.34%, Selling Expense Rate:6.79%, Management Expense Rate: 3.41%, Net profit million: 724.3648, Depreciation and Amortization: 1.27%, Capital Expenditures: 2.44%, Changes in working capital: 0.94%, Cash Flow(million): 639.5329", + "Last quarter's financial report of Company A. Revenue growth rate (YoY): 7.75%, Revenue million: 5024.04, Gross margin: 42.47%, Income Tax as a percentage of Revenue: 10.67%, Selling Expense Rate:6.56%, Management Expense Rate: 4.72%, Net profit million: 1031.214, Depreciation and Amortization: 1.08%, Capital Expenditures: 2.71%, Changes in working capital: 0.08%, Cash Flow(million): 945.5034"] # 各个季度的财报 +FINANCIAL_REPORT_B = ["Last quarter's financial report of Company B. Revenue growth rate (YoY): 19.96%, Revenue million: 1319.94, Gross margin: 31.21%, Income Tax as a percentage of Revenue: 0.70%, Selling Expense Rate:4.69%, Management Expense Rate: 8.78%, Net profit million: 224.9179, Depreciation and Amortization: 1.13%, Capital Expenditures: 1.77%, Changes in working capital: 0.59%, Cash Flow(million): 208.7266", + "Last quarter's financial report of Company B. Revenue growth rate (YoY): 19.86%, Revenue million: 1096.70, Gross margin: 31.26%, Income Tax as a percentage of Revenue: 0.71%, Selling Expense Rate:3.62%, Management Expense Rate: 9.90%, Net profit million: 186.7678, Depreciation and Amortization: 0.67%, Capital Expenditures: 1.44%, Changes in working capital: -0.31%, Cash Flow(million): 181.6862", + "Last quarter's financial report of Company B. Revenue growth rate (YoY): 18.21%, Revenue million: 1676.70, Gross margin: 31.58%, Income Tax as a percentage of Revenue: 0.92%, Selling Expense Rate:3.78%, Management Expense Rate: 10.27%, Net profit million: 278.3327, Depreciation and Amortization: 0.77%, Capital Expenditures: 1.56%, Changes in working capital: -0.06%, Cash Flow(million): 266.1486", + "Last quarter's financial report of Company B. Revenue growth rate (YoY): 15.98%, Revenue million: 1075.13, Gross margin: 32.41%, Income Tax as a percentage of Revenue: 1.08%, Selling Expense Rate:3.79%, Management Expense Rate: 10.70%, Net profit million: 181.1602, Depreciation and Amortization: 1.09%, Capital Expenditures: 2.28%, Changes in working capital: 0.67%, Cash Flow(million): 161.1985"] + +# 特殊事件 + +EVENT_1_DAY = 78 +EVENT_1_MESSAGE = "The government has announced a reduction in the reserve requirement ratio. " \ + "The lending interest rates have been lowered." +EVENT_1_LOAN_RATE = [0.024, 0.027, 0.030] # 降准后的利率放在这里 + +EVENT_2_DAY = 144 +EVENT_2_MESSAGE = "The government has announced an increase in interest rates." +EVENT_2_LOAN_RATE = [0.0255, 0.0285, 0.0315] \ No newline at end of file From 731cac5c89660ab737025ab76895ce8631d291e7 Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Fri, 24 Oct 2025 20:41:39 +0000 Subject: [PATCH 08/22] fixing stock agent for deployment --- examples/Stockagent/frontend.html | 630 ------------------------ examples/Stockagent/runagent_wrapper.py | 23 +- examples/Stockagent/test_agent.py | 3 +- runagent/sdk/socket_client.py | 2 +- 4 files changed, 24 insertions(+), 634 deletions(-) delete mode 100644 examples/Stockagent/frontend.html diff --git a/examples/Stockagent/frontend.html b/examples/Stockagent/frontend.html deleted file mode 100644 index ed53ed8..0000000 --- a/examples/Stockagent/frontend.html +++ /dev/null @@ -1,630 +0,0 @@ - - - - - - StockAgent Trading Simulator - - - -
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Multi-Agent LLM-Based Stock Market Simulation

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- - - - \ No newline at end of file diff --git a/examples/Stockagent/runagent_wrapper.py b/examples/Stockagent/runagent_wrapper.py index 4939732..4d0d251 100644 --- a/examples/Stockagent/runagent_wrapper.py +++ b/examples/Stockagent/runagent_wrapper.py @@ -82,6 +82,26 @@ def stream_simulation( ) -> Iterator[Dict[str, Any]]: """Stream REAL simulation with LLM agents and ALL logs""" + # FIX: Convert string parameters to appropriate types + try: + num_agents = int(num_agents) if isinstance(num_agents, str) else num_agents + total_days = int(total_days) if isinstance(total_days, str) else total_days + sessions_per_day = int(sessions_per_day) if isinstance(sessions_per_day, str) else sessions_per_day + stock_a_price = float(stock_a_price) if isinstance(stock_a_price, str) else stock_a_price + stock_b_price = float(stock_b_price) if isinstance(stock_b_price, str) else stock_b_price + + # Convert string boolean to actual boolean + if isinstance(enable_events, str): + enable_events = enable_events.lower() in ('true', '1', 'yes', 'on') + except (ValueError, TypeError) as e: + yield asdict(SimulationUpdate( + type="error", + day=0, + message=f"❌ Parameter conversion error: {str(e)}", + data={"error": str(e)} + )) + return + # Setup log capturing log_capture = LogCapture() @@ -104,7 +124,7 @@ def stream_simulation( } )) - # Update util settings + # Update util settings with converted values util.AGENTS_NUM = num_agents util.TOTAL_DATE = total_days util.TOTAL_SESSION = sessions_per_day @@ -346,7 +366,6 @@ def _run_real_simulation_streaming(self, model: str, log_capture: LogCapture) -> } ) - def _collect_results(self) -> Dict[str, Any]: results = {"trades": [], "stock_prices": [], "agent_performance": []} diff --git a/examples/Stockagent/test_agent.py b/examples/Stockagent/test_agent.py index c1a4f69..c46cc2d 100644 --- a/examples/Stockagent/test_agent.py +++ b/examples/Stockagent/test_agent.py @@ -1,8 +1,9 @@ from runagent import RunAgentClient client = RunAgentClient( - agent_id="93f061de-1b0c-4b97-b9bd-0cabd43b2619 ", + agent_id="528bfbf3-433f-4728-a203-3310dad42dee", entrypoint_tag="simulate_stream", + local=False ) # Run and print ALL output including logs diff --git a/runagent/sdk/socket_client.py b/runagent/sdk/socket_client.py index 4514d0a..9f7d112 100644 --- a/runagent/sdk/socket_client.py +++ b/runagent/sdk/socket_client.py @@ -119,4 +119,4 @@ def run_stream(self, agent_id: str, entrypoint_tag: str, input_args, input_kwarg continue # Skip status messages elif message_type == "data": # Yield the actual chunk data - yield message.get("content") + yield message.get("content") \ No newline at end of file From 8c7614083d1fe43f1e39d1704145425543780980 Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Fri, 24 Oct 2025 22:03:01 +0000 Subject: [PATCH 09/22] fixed stockagent with python sdk --- examples/Stockagent/test_agent.py | 23 +++---- runagent/sdk/socket_client.py | 106 ++++++++++++++++++++++++------ 2 files changed, 98 insertions(+), 31 deletions(-) diff --git a/examples/Stockagent/test_agent.py b/examples/Stockagent/test_agent.py index c46cc2d..3acadf2 100644 --- a/examples/Stockagent/test_agent.py +++ b/examples/Stockagent/test_agent.py @@ -1,22 +1,23 @@ from runagent import RunAgentClient client = RunAgentClient( - agent_id="528bfbf3-433f-4728-a203-3310dad42dee", + agent_id="6cf5351f-b228-4648-9a07-20608ef490be", entrypoint_tag="simulate_stream", local=False ) # Run and print ALL output including logs for update in client.run( - num_agents=5, - total_days=2, - sessions_per_day=2, + num_agents="5", + total_days="2", + sessions_per_day="2", model="gpt-4o-mini" ): - # Print everything - if update.get('type') == 'log': - # Raw log output - print(update['message']) - else: - # Structured events - print(f"[{update['type']}] {update.get('message', '')}") \ No newline at end of file + print(update) + # # Print everything + # if update.get('type') == 'log': + # # Raw log output + # print(update['message']) + # else: + # # Structured events + # print(f"[{update['type']}] {update.get('message', '')}") \ No newline at end of file diff --git a/runagent/sdk/socket_client.py b/runagent/sdk/socket_client.py index 9f7d112..8e3b149 100644 --- a/runagent/sdk/socket_client.py +++ b/runagent/sdk/socket_client.py @@ -10,7 +10,10 @@ class SocketClient: - """WebSocket client for agent streaming with both async and sync support""" + """WebSocket client for agent streaming with both async and sync support + + FIXED: Now properly handles cloud deployments with correct WSS URLs + """ def __init__( self, @@ -19,23 +22,59 @@ def __init__( api_prefix: Optional[str] = "/api/v1", is_local: Optional[bool] = True ): - if not base_socket_url: - base_url = Config.get_base_url() - base_url = base_url.lstrip("http://").lstrip("https://") - base_socket_url = f"ws://{base_url}" - self.is_local = is_local - self.base_socket_url = base_socket_url.rstrip("/") + api_prefix self.api_key = api_key or Config.get_api_key() self.serializer = CoreSerializer() + # FIXED: Handle cloud vs local URL construction + if base_socket_url: + # Use provided URL + self.base_socket_url = base_socket_url.rstrip("/") + api_prefix + else: + if is_local: + # Local: Use localhost + base_url = "ws://127.0.0.1:8450" + self.base_socket_url = base_url + api_prefix + else: + # Cloud: Convert HTTP(S) base URL to WS(S) + base_url = Config.get_base_url() + + # Convert https:// to wss:// or http:// to ws:// + if base_url.startswith("https://"): + ws_base = base_url.replace("https://", "wss://") + elif base_url.startswith("http://"): + ws_base = base_url.replace("http://", "ws://") + else: + # No protocol, assume secure for cloud + ws_base = f"wss://{base_url}" + + self.base_socket_url = ws_base.rstrip("/") + api_prefix + + print(f"[DEBUG] SocketClient initialized:") + print(f" - is_local: {self.is_local}") + print(f" - base_socket_url: {self.base_socket_url}") + print(f" - api_key: {'SET' if self.api_key else 'NOT SET'}") + async def run_stream_async(self, agent_id: str, entrypoint_tag: str, *input_args, **input_kwargs) -> AsyncIterator[Any]: """Stream agent execution results (async version)""" - uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream?token={self.api_key}" + # FIXED: Build proper cloud URL with query param auth + if self.is_local: + uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream" + else: + # Cloud: Add token as query parameter + uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream?token={self.api_key}" + + # print(f"[DEBUG] Connecting to: {uri}") + + # FIXED: Add proper headers for cloud authentication + extra_headers = {} + if not self.is_local and self.api_key: + extra_headers["Authorization"] = f"Bearer {self.api_key}" async with websockets.connect( uri, + extra_headers=extra_headers if extra_headers else None, ping_interval=20, ping_timeout=60, close_timeout=10, @@ -44,11 +83,14 @@ async def run_stream_async(self, agent_id: str, entrypoint_tag: str, *input_args # Send start stream request in the exact format required request_data = { "entrypoint_tag": entrypoint_tag, - "input_args": input_args, - "input_kwargs": input_kwargs, + "input_args": list(input_args), # Ensure JSON serializable + "input_kwargs": dict(input_kwargs), # Ensure JSON serializable "timeout_seconds": 600, "async_execution": False } + + print(f"[DEBUG] Sending request: {request_data}") + # Send the request as direct JSON await websocket.send(json.dumps(request_data)) @@ -57,18 +99,22 @@ async def run_stream_async(self, agent_id: str, entrypoint_tag: str, *input_args try: message = json.loads(raw_message) except json.JSONDecodeError: - continue # Skip invalid messages + print(f"[WARN] Invalid JSON message: {raw_message}") + continue message_type = message.get("type") if message_type == "error": - raise Exception(f"Stream error: {message.get('error')}") + error_msg = message.get('error') or message.get('detail', 'Unknown error') + raise Exception(f"Stream error: {error_msg}") elif message_type == "status": status = message.get("status") if status == "stream_completed": + print("[DEBUG] Stream completed") break elif status == "stream_started": - continue # Skip status messages + print("[DEBUG] Stream started") + continue elif message_type == "data": # Yield the actual chunk data yield message.get("content") @@ -77,26 +123,42 @@ def run_stream(self, agent_id: str, entrypoint_tag: str, input_args, input_kwarg """Stream agent execution results (sync version)""" from websockets.sync.client import connect - uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream?token={self.api_key}" + # FIXED: Build proper cloud URL with query param auth + if self.is_local: + uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream" + else: + # Cloud: Add token as query parameter + uri = f"{self.base_socket_url}/agents/{agent_id}/run-stream?token={self.api_key}" + + # print(f"[DEBUG] Connecting to: {uri}") + + # FIXED: Add proper headers for cloud authentication + extra_headers = {} + if not self.is_local and self.api_key: + extra_headers["Authorization"] = f"Bearer {self.api_key}" # Add proper timeout and keepalive settings with connect( uri, + additional_headers=extra_headers if extra_headers else None, ping_interval=20, # Send ping every 20 seconds ping_timeout=60, # Wait up to 60 seconds for pong close_timeout=10, # Timeout for closing handshake - max_size=10 * 1024 * 1024 # 10MB max message size + max_size=10 * 1024 * 1024, # 10MB max message size + open_timeout=30 # FIXED: Add connection timeout ) as websocket: # Send start stream request in the exact format required request_data = { "entrypoint_tag": entrypoint_tag, - "input_args": input_args, - "input_kwargs": input_kwargs, + "input_args": list(input_args) if input_args else [], + "input_kwargs": dict(input_kwargs) if input_kwargs else {}, "timeout_seconds": 600, "async_execution": False } + print(f"[DEBUG] Sending request: {request_data}") + # Send the request as direct JSON websocket.send(json.dumps(request_data)) @@ -105,18 +167,22 @@ def run_stream(self, agent_id: str, entrypoint_tag: str, input_args, input_kwarg try: message = json.loads(raw_message) except json.JSONDecodeError: - continue # Skip invalid messages + print(f"[WARN] Invalid JSON message: {raw_message}") + continue message_type = message.get("type") if message_type == "error": - raise Exception(f"Stream error: {message.get('error')}") + error_msg = message.get('error') or message.get('detail', 'Unknown error') + raise Exception(f"Stream error: {error_msg}") elif message_type == "status": status = message.get("status") if status == "stream_completed": + print("[DEBUG] Stream completed") break elif status == "stream_started": - continue # Skip status messages + print("[DEBUG] Stream started") + continue elif message_type == "data": # Yield the actual chunk data yield message.get("content") \ No newline at end of file From 56ffdda22af75fc549b45ce4f22293d4af4f336c Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Sat, 25 Oct 2025 07:31:28 +0000 Subject: [PATCH 10/22] fixed stock agent for python sdk remote deployment --- .../{ => sdk_test/python}/test_agent.py | 0 examples/Stockagent/sdk_test/rust/Cargo.toml | 11 ++ examples/Stockagent/sdk_test/rust/src/main.rs | 103 ++++++++++++++++++ 3 files changed, 114 insertions(+) rename examples/Stockagent/{ => sdk_test/python}/test_agent.py (100%) create mode 100644 examples/Stockagent/sdk_test/rust/Cargo.toml create mode 100644 examples/Stockagent/sdk_test/rust/src/main.rs diff --git a/examples/Stockagent/test_agent.py b/examples/Stockagent/sdk_test/python/test_agent.py similarity index 100% rename from examples/Stockagent/test_agent.py rename to examples/Stockagent/sdk_test/python/test_agent.py diff --git a/examples/Stockagent/sdk_test/rust/Cargo.toml b/examples/Stockagent/sdk_test/rust/Cargo.toml new file mode 100644 index 0000000..683ee71 --- /dev/null +++ b/examples/Stockagent/sdk_test/rust/Cargo.toml @@ -0,0 +1,11 @@ +[package] +name = "temp_rust_test" +version = "0.1.1" +edition = "2021" + +[dependencies] +runagent = "0.1.1" +tokio = { version = "1.0", features = ["full"] } +serde_json = "1.0" +anyhow = "1.0" +futures = "0.3" \ No newline at end of file diff --git a/examples/Stockagent/sdk_test/rust/src/main.rs b/examples/Stockagent/sdk_test/rust/src/main.rs new file mode 100644 index 0000000..9f48aff --- /dev/null +++ b/examples/Stockagent/sdk_test/rust/src/main.rs @@ -0,0 +1,103 @@ +use runagent::client::RunAgentClient; +use serde_json::json; +use futures::StreamExt; + +#[tokio::main] +async fn main() -> Result<(), Box> { + println!("🧪 Testing StockAgent with Rust SDK"); + println!("===================================="); + + // Replace with your actual agent ID from `runagent serve` + let agent_id = "6cf5351f-b228-4648-9a07-20608ef490be"; + + println!("\n📡 Testing StockAgent Streaming Simulation"); + println!("{}", "=".repeat(50)); + + // Connect to the streaming entrypoint + let client = RunAgentClient::new( + agent_id, + "simulate_stream", // The streaming entrypoint tag + false // local = true + ).await?; + + println!("✅ Client initialized"); + + // Run simulation with parameters + let mut stream = client.run_stream(&[ + ("num_agents", json!(5)), // Number of trading agents + ("total_days", json!(3)), // Simulation duration in days + ("sessions_per_day", json!(2)), // Trading sessions per day + ("model", json!("gpt-4o-mini")), // LLM model to use + ("stock_a_price", json!(30.0)), // Initial stock A price + ("stock_b_price", json!(40.0)), // Initial stock B price + ("enable_events", json!(true)) // Enable market events + ]).await?; + + println!("🚀 Simulation started, streaming updates...\n"); + + // Process the stream + let mut update_count = 0; + while let Some(chunk_result) = stream.next().await { + match chunk_result { + Ok(chunk) => { + update_count += 1; + + // Parse the chunk to see what type of update it is + if let Some(obj) = chunk.as_object() { + match obj.get("type").and_then(|v| v.as_str()) { + Some("init") => { + println!("🔧 {}", obj.get("message").unwrap()); + }, + Some("agents_initialized") => { + println!("✅ {}", obj.get("message").unwrap()); + }, + Some("day_start") => { + let day = obj.get("day").unwrap(); + println!("\n📅 Day {} started", day); + if let Some(data) = obj.get("data") { + println!(" Stock A: ${}", data["stock_a_price"]); + println!(" Stock B: ${}", data["stock_b_price"]); + } + }, + Some("session") => { + let session = obj.get("session").unwrap(); + let message = obj.get("message").unwrap(); + println!(" ⏰ {}", message); + }, + Some("day_end") => { + println!(" ✅ Day complete\n"); + }, + Some("log") => { + // Print log messages + if let Some(msg) = obj.get("message") { + println!(" 📝 {}", msg); + } + }, + Some("complete") => { + println!("\n🎉 {}", obj.get("message").unwrap()); + if let Some(data) = obj.get("data") { + println!("\n📊 Simulation Results:"); + println!("{}", serde_json::to_string_pretty(data)?); + } + }, + Some("error") => { + println!("❌ Error: {}", obj.get("message").unwrap()); + }, + _ => { + println!("📦 Update {}: {}", update_count, chunk); + } + } + } + }, + Err(e) => { + println!("❌ Stream Error: {}", e); + break; + } + } + } + + println!("\n✅ Received {} total updates", update_count); + println!("✅ StockAgent test completed successfully!"); + + Ok(()) +} \ No newline at end of file From 0159593b3317c5bed5ea5b8764b6328996c4d5f0 Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Sat, 25 Oct 2025 14:02:22 +0000 Subject: [PATCH 11/22] fix the rust sdk for remote deployment --- examples/Stockagent/sdk_test/rust/Cargo.toml | 2 +- examples/Stockagent/sdk_test/rust/src/main.rs | 82 +++--------------- .../runagent/src/client/rest_client.rs | 11 +-- .../runagent/src/client/runagent_client.rs | 64 +++++++++++--- .../runagent/src/client/socket_client.rs | 83 ++++++++++--------- runagent-rust/runagent/src/constants.rs | 2 +- runagent-rust/runagent/src/types/schema.rs | 2 + runagent-rust/runagent/src/utils/config.rs | 15 +++- test_scripts/rust/test_agno/Cargo.toml | 2 +- test_scripts/rust/test_agno/src/main.rs | 58 ++++++------- 10 files changed, 163 insertions(+), 158 deletions(-) diff --git a/examples/Stockagent/sdk_test/rust/Cargo.toml b/examples/Stockagent/sdk_test/rust/Cargo.toml index 683ee71..6012193 100644 --- a/examples/Stockagent/sdk_test/rust/Cargo.toml +++ b/examples/Stockagent/sdk_test/rust/Cargo.toml @@ -4,7 +4,7 @@ version = "0.1.1" edition = "2021" [dependencies] -runagent = "0.1.1" +runagent = { path = "../../../../runagent-rust/runagent" } tokio = { version = "1.0", features = ["full"] } serde_json = "1.0" anyhow = "1.0" diff --git a/examples/Stockagent/sdk_test/rust/src/main.rs b/examples/Stockagent/sdk_test/rust/src/main.rs index 9f48aff..7b0652a 100644 --- a/examples/Stockagent/sdk_test/rust/src/main.rs +++ b/examples/Stockagent/sdk_test/rust/src/main.rs @@ -7,87 +7,32 @@ async fn main() -> Result<(), Box> { println!("🧪 Testing StockAgent with Rust SDK"); println!("===================================="); - // Replace with your actual agent ID from `runagent serve` - let agent_id = "6cf5351f-b228-4648-9a07-20608ef490be"; - - println!("\n📡 Testing StockAgent Streaming Simulation"); - println!("{}", "=".repeat(50)); - - // Connect to the streaming entrypoint + // Initialize the client let client = RunAgentClient::new( - agent_id, - "simulate_stream", // The streaming entrypoint tag - false // local = true + "6cf5351f-b228-4648-9a07-20608ef490be", // Agent ID + "simulate_stream", // Entrypoint + false // Remote connection ).await?; println!("✅ Client initialized"); - // Run simulation with parameters + println!("🔄 Starting simulation..."); + // Run simulation with parameters (matching Python SDK exactly) let mut stream = client.run_stream(&[ - ("num_agents", json!(5)), // Number of trading agents - ("total_days", json!(3)), // Simulation duration in days - ("sessions_per_day", json!(2)), // Trading sessions per day - ("model", json!("gpt-4o-mini")), // LLM model to use - ("stock_a_price", json!(30.0)), // Initial stock A price - ("stock_b_price", json!(40.0)), // Initial stock B price - ("enable_events", json!(true)) // Enable market events + ("num_agents", json!("5")), // String values like Python + ("total_days", json!("2")), // String values like Python + ("sessions_per_day", json!("2")), // String values like Python + ("model", json!("gpt-4o-mini")) // String values like Python ]).await?; println!("🚀 Simulation started, streaming updates...\n"); - // Process the stream - let mut update_count = 0; + // Process the stream - simple output like Python SDK while let Some(chunk_result) = stream.next().await { match chunk_result { Ok(chunk) => { - update_count += 1; - - // Parse the chunk to see what type of update it is - if let Some(obj) = chunk.as_object() { - match obj.get("type").and_then(|v| v.as_str()) { - Some("init") => { - println!("🔧 {}", obj.get("message").unwrap()); - }, - Some("agents_initialized") => { - println!("✅ {}", obj.get("message").unwrap()); - }, - Some("day_start") => { - let day = obj.get("day").unwrap(); - println!("\n📅 Day {} started", day); - if let Some(data) = obj.get("data") { - println!(" Stock A: ${}", data["stock_a_price"]); - println!(" Stock B: ${}", data["stock_b_price"]); - } - }, - Some("session") => { - let session = obj.get("session").unwrap(); - let message = obj.get("message").unwrap(); - println!(" ⏰ {}", message); - }, - Some("day_end") => { - println!(" ✅ Day complete\n"); - }, - Some("log") => { - // Print log messages - if let Some(msg) = obj.get("message") { - println!(" 📝 {}", msg); - } - }, - Some("complete") => { - println!("\n🎉 {}", obj.get("message").unwrap()); - if let Some(data) = obj.get("data") { - println!("\n📊 Simulation Results:"); - println!("{}", serde_json::to_string_pretty(data)?); - } - }, - Some("error") => { - println!("❌ Error: {}", obj.get("message").unwrap()); - }, - _ => { - println!("📦 Update {}: {}", update_count, chunk); - } - } - } + // Just print the raw data like Python SDK + println!("{}", chunk); }, Err(e) => { println!("❌ Stream Error: {}", e); @@ -96,7 +41,6 @@ async fn main() -> Result<(), Box> { } } - println!("\n✅ Received {} total updates", update_count); println!("✅ StockAgent test completed successfully!"); Ok(()) diff --git a/runagent-rust/runagent/src/client/rest_client.rs b/runagent-rust/runagent/src/client/rest_client.rs index a21b51a..44ba3e3 100644 --- a/runagent-rust/runagent/src/client/rest_client.rs +++ b/runagent-rust/runagent/src/client/rest_client.rs @@ -163,13 +163,14 @@ impl RestClient { input_kwargs: &HashMap, ) -> RunAgentResult { let data = serde_json::json!({ - "input_data": { - "input_args": input_args, - "input_kwargs": input_kwargs - } + "entrypoint_tag": entrypoint_tag, + "input_args": input_args, + "input_kwargs": input_kwargs, + "timeout_seconds": 60, + "async_execution": false }); - let path = format!("agents/{}/execute/{}", agent_id, entrypoint_tag); + let path = format!("agents/{}/run", agent_id); self.post(&path, &data).await } diff --git a/runagent-rust/runagent/src/client/runagent_client.rs b/runagent-rust/runagent/src/client/runagent_client.rs index d80e77c..330204b 100644 --- a/runagent-rust/runagent/src/client/runagent_client.rs +++ b/runagent-rust/runagent/src/client/runagent_client.rs @@ -135,9 +135,20 @@ impl RunAgentClient { db_service, }; - // Get agent architecture - client.agent_architecture = Some(client.get_agent_architecture_internal().await?); - client.validate_entrypoint()?; + // Get agent architecture (skip validation to match Python SDK behavior) + match client.get_agent_architecture_internal().await { + Ok(architecture) => { + client.agent_architecture = Some(architecture); + tracing::debug!("Agent architecture loaded, skipping client-side validation"); + } + Err(e) => { + tracing::debug!("Failed to get agent architecture, skipping validation: {}", e); + // Set a minimal architecture to avoid validation errors + client.agent_architecture = Some(serde_json::json!({ + "entrypoints": [{"tag": "simulate_stream", "file": "main.py", "module": "simulate_stream"}] + })); + } + } Ok(client) } @@ -146,7 +157,7 @@ impl RunAgentClient { match self.rest_client.get_agent_architecture(&self.agent_id).await { Ok(architecture) => Ok(architecture), Err(_) => { - // Fallback: provide default architecture + // Fallback: provide default architecture with common entrypoints Ok(serde_json::json!({ "entrypoints": [ { @@ -158,6 +169,16 @@ impl RunAgentClient { "tag": "generic_stream", "file": "main.py", "module": "run_stream" + }, + { + "tag": "simulate_stream", + "file": "main.py", + "module": "simulate_stream" + }, + { + "tag": "run", + "file": "main.py", + "module": "run" } ] })) @@ -219,17 +240,36 @@ impl RunAgentClient { .await?; if response.get("success").and_then(|s| s.as_bool()).unwrap_or(false) { + // Handle new response format with nested data (matching Python SDK) + if let Some(data) = response.get("data") { + if let Some(result_data) = data.get("result_data") { + if let Some(output_data) = result_data.get("data") { + return self.serializer.deserialize_object(output_data.clone()); + } + } + } + // Fallback to old format for backward compatibility if let Some(output_data) = response.get("output_data") { - self.serializer.deserialize_object(output_data.clone()) - } else { - Ok(Value::Null) + return self.serializer.deserialize_object(output_data.clone()); } + Ok(Value::Null) } else { - let error_msg = response - .get("error") - .and_then(|e| e.as_str()) - .unwrap_or("Unknown error"); - Err(RunAgentError::server(error_msg)) + // Handle new error format with ErrorDetail object (matching Python SDK) + if let Some(error_info) = response.get("error") { + if let Some(error_obj) = error_info.as_object() { + if let (Some(message), Some(code)) = ( + error_obj.get("message").and_then(|m| m.as_str()), + error_obj.get("code").and_then(|c| c.as_str()) + ) { + return Err(RunAgentError::server(format!("[{}] {}", code, message))); + } + } + // Fallback to old format + if let Some(error_msg) = error_info.as_str() { + return Err(RunAgentError::server(error_msg)); + } + } + Err(RunAgentError::server("Unknown error")) } } diff --git a/runagent-rust/runagent/src/client/socket_client.rs b/runagent-rust/runagent/src/client/socket_client.rs index f936a1c..86bc476 100644 --- a/runagent-rust/runagent/src/client/socket_client.rs +++ b/runagent-rust/runagent/src/client/socket_client.rs @@ -1,8 +1,7 @@ //! WebSocket client for streaming agent interactions use crate::types::{ - RunAgentError, RunAgentResult, SafeMessage, WebSocketActionType, WebSocketAgentRequest, - AgentInputArgs, MessageType, + RunAgentError, RunAgentResult, SafeMessage, MessageType, }; use crate::utils::config::Config; use crate::utils::serializer::CoreSerializer; @@ -55,9 +54,14 @@ impl SocketClient { Self::new(&ws_url, config.api_key(), Some("/api/v1")) } - fn get_websocket_url(&self, agent_id: &str, entrypoint_tag: &str) -> RunAgentResult { - let path = format!("agents/{}/execute/{}", agent_id, entrypoint_tag); - let full_url = format!("{}{}/{}", self.base_socket_url, self.api_prefix, path); + fn get_websocket_url(&self, agent_id: &str, _entrypoint_tag: &str) -> RunAgentResult { + let path = format!("agents/{}/run-stream", agent_id); + let mut full_url = format!("{}{}/{}", self.base_socket_url, self.api_prefix, path); + + // Add API key as token parameter if available + if let Some(ref api_key) = self.api_key { + full_url = format!("{}?token={}", full_url, api_key); + } Url::parse(&full_url) .map_err(|e| RunAgentError::validation(format!("Invalid WebSocket URL: {}", e))) @@ -81,39 +85,34 @@ impl SocketClient { let (mut write, mut read) = ws_stream.split(); - // Prepare start stream request - let request = WebSocketAgentRequest { - action: WebSocketActionType::StartStream, - agent_id: agent_id.to_string(), - input_data: AgentInputArgs { - input_args: input_args.to_vec(), - input_kwargs: input_kwargs.clone(), - }, - stream_config: HashMap::new(), - }; - - let start_msg = SafeMessage::new( - "stream_start".to_string(), - MessageType::Status, - serde_json::to_value(&request)?, - ); - - // Send start stream message - let serialized_msg = self.serializer.serialize_message(&start_msg)?; + // Prepare start stream request with id field (as middleware expects) + let request_data = serde_json::json!({ + "id": "stream_start", + "entrypoint_tag": entrypoint_tag, + "input_args": input_args, + "input_kwargs": input_kwargs, + "timeout_seconds": 600, + "async_execution": false + }); + + // Send the request data directly (matching Python SDK format) + let serialized_msg = serde_json::to_string(&request_data)?; write.send(Message::Text(serialized_msg)).await .map_err(|e| RunAgentError::connection(format!("Failed to send start message: {}", e)))?; - // Create stream that processes incoming messages - let serializer = self.serializer.clone(); + // Create stream that processes incoming messages (matching Python SDK behavior) let stream = async_stream::stream! { while let Some(message) = read.next().await { match message { Ok(Message::Text(text)) => { - match serializer.deserialize_message(&text) { - Ok(safe_msg) => { - match safe_msg.message_type { - MessageType::Status => { - if let Some(status) = safe_msg.data.get("status") { + // Parse as plain JSON (matching Python SDK) + match serde_json::from_str::(&text) { + Ok(msg) => { + let message_type = msg.get("type").and_then(|v| v.as_str()); + + match message_type { + Some("status") => { + if let Some(status) = msg.get("status").and_then(|v| v.as_str()) { if status == "stream_completed" { break; } else if status == "stream_started" { @@ -121,20 +120,28 @@ impl SocketClient { } } } - MessageType::Error => { - yield Err(RunAgentError::server( - safe_msg.error.unwrap_or_else(|| "Agent error".to_string()) - )); + Some("error") => { + let error_msg = msg.get("error") + .or_else(|| msg.get("detail")) + .and_then(|v| v.as_str()) + .unwrap_or("Unknown error"); + yield Err(RunAgentError::server(format!("Stream error: {}", error_msg))); break; } + Some("data") => { + // Yield the content field (matching Python SDK) + if let Some(content) = msg.get("content") { + yield Ok(content.clone()); + } + } _ => { - // Yield the actual chunk data - yield Ok(safe_msg.data); + // For other message types, yield the whole message + yield Ok(msg); } } } Err(e) => { - yield Err(RunAgentError::server(format!("Stream error: {}", e))); + yield Err(RunAgentError::server(format!("Stream error: JSON error: {}", e))); break; } } diff --git a/runagent-rust/runagent/src/constants.rs b/runagent-rust/runagent/src/constants.rs index 36cde3d..f8175f6 100644 --- a/runagent-rust/runagent/src/constants.rs +++ b/runagent-rust/runagent/src/constants.rs @@ -31,7 +31,7 @@ pub const ENV_LOCAL_CACHE_DIRECTORY: &str = "RUNAGENT_CACHE_DIR"; pub const ENV_RUNAGENT_LOGGING_LEVEL: &str = "RUNAGENT_LOGGING_LEVEL"; /// Default base URL -pub const DEFAULT_BASE_URL: &str = "http://52.237.88.147:8330/"; +pub const DEFAULT_BASE_URL: &str = "http://20.84.81.110:8333/"; /// Agent config file name pub const AGENT_CONFIG_FILE_NAME: &str = "runagent.config.json"; diff --git a/runagent-rust/runagent/src/types/schema.rs b/runagent-rust/runagent/src/types/schema.rs index 1ff7f15..81d1511 100644 --- a/runagent-rust/runagent/src/types/schema.rs +++ b/runagent-rust/runagent/src/types/schema.rs @@ -94,6 +94,7 @@ pub enum WebSocketActionType { pub struct WebSocketAgentRequest { pub action: WebSocketActionType, pub agent_id: String, + pub entrypoint_tag: String, pub input_data: AgentInputArgs, #[serde(default)] pub stream_config: HashMap, @@ -147,6 +148,7 @@ pub enum MessageType { AgentThought, FinalResponse, Error, + ExecutionError, Status, RawData, Data, diff --git a/runagent-rust/runagent/src/utils/config.rs b/runagent-rust/runagent/src/utils/config.rs index c09fa44..cd0b3ed 100644 --- a/runagent-rust/runagent/src/utils/config.rs +++ b/runagent-rust/runagent/src/utils/config.rs @@ -15,6 +15,11 @@ use std::path::PathBuf; pub struct Config { pub api_key: Option, pub base_url: String, + pub user_email: Option, + pub user_id: Option, + pub user_tier: Option, + pub auth_validated: Option, + #[serde(default)] pub user_info: HashMap, } @@ -23,6 +28,10 @@ impl Default for Config { Self { api_key: None, base_url: DEFAULT_BASE_URL.to_string(), + user_email: None, + user_id: None, + user_tier: None, + auth_validated: None, user_info: HashMap::new(), } } @@ -69,8 +78,10 @@ impl Config { let content = fs::read_to_string(&config_path) .map_err(|e| RunAgentError::config(format!("Failed to read config file: {}", e)))?; - serde_json::from_str(&content) - .map_err(|e| RunAgentError::config(format!("Failed to parse config file: {}", e))) + match serde_json::from_str::(&content) { + Ok(parsed_config) => Ok(parsed_config), + Err(_) => Ok(Self::default()) + } } else { Ok(Self::default()) } diff --git a/test_scripts/rust/test_agno/Cargo.toml b/test_scripts/rust/test_agno/Cargo.toml index d7d2e8a..5cf216a 100644 --- a/test_scripts/rust/test_agno/Cargo.toml +++ b/test_scripts/rust/test_agno/Cargo.toml @@ -5,7 +5,7 @@ edition = "2021" [dependencies] # Assuming you're using the runagent Rust SDK -runagent = { path = "/home/riamdriad5/runagent/runagent/runagent-rust/runagent" } +runagent = { path = "/home/azureuser/runagent/runagent-rust/runagent" } # Required dependencies tokio = { version = "1.0", features = ["full"] } diff --git a/test_scripts/rust/test_agno/src/main.rs b/test_scripts/rust/test_agno/src/main.rs index 48b636b..a337b26 100644 --- a/test_scripts/rust/test_agno/src/main.rs +++ b/test_scripts/rust/test_agno/src/main.rs @@ -1,40 +1,40 @@ -use runagent::client::RunAgentClient; -use serde_json::json; +// use runagent::client::RunAgentClient; +// use serde_json::json; -#[tokio::main] -async fn main() -> Result<(), Box> { - println!("🧪 Testing agno Agent with Rust SDK"); +// #[tokio::main] +// async fn main() -> Result<(), Box> { +// println!("🧪 Testing agno Agent with Rust SDK"); - // Replace with the actual agent ID from `runagent serve` - let agent_id = "aacf274a-32b8-497d-85a4-aa8597686c40"; +// // Replace with the actual agent ID from `runagent serve` +// let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; - // Test: Non-streaming execution - println!("\n🚀 Testing Non-Streaming Execution"); - println!("=================================="); +// // Test: Non-streaming execution +// println!("\n🚀 Testing Non-Streaming Execution"); +// println!("=================================="); - // Connect directly with host and port since we know where the server is running - let client = RunAgentClient::new( - agent_id, - "agno_print_response", - true, // local = true - // Some("127.0.0.1"), - // Some(8452) // Use the port from your server output - ).await?; +// // Connect directly with host and port since we know where the server is running +// let client = RunAgentClient::new( +// agent_id, +// "agno_print_response", +// true, // local = true +// // Some("127.0.0.1"), +// // Some(8452) // Use the port from your server output +// ).await?; - // println!("🔗 Connected to agent at 127.0.0.1:8452"); +// // println!("🔗 Connected to agent at 127.0.0.1:8452"); - let response = client.run_with_args( - &[json!("Write a report on NVDA")], // positional args - &[] // no keyword args - ).await?; +// let response = client.run_with_args( +// &[json!("Write a report on Apple Inc")], // positional args +// &[] // no keyword args +// ).await?; - println!("✅ Response received:"); - println!("{}", serde_json::to_string_pretty(&response)?); +// println!("✅ Response received:"); +// println!("{}", serde_json::to_string_pretty(&response)?); - println!("\n✅ Test completed successfully!"); +// println!("\n✅ Test completed successfully!"); - Ok(()) -} +// Ok(()) +// } // ******************************Streaming Part with agno**************************************** @@ -46,7 +46,7 @@ use futures::StreamExt; #[tokio::main] async fn main() -> Result<(), Box> { - let agent_id = "d31336a7-7c02-43cb-a906-6019b06a1249"; + let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; println!("🌊 ag2 Streaming Test"); let client = RunAgentClient::new(agent_id, "agno_print_response_stream", true).await?; From 56e0c22e4079e05d43e901834013f99512658498 Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Sat, 25 Oct 2025 14:13:15 +0000 Subject: [PATCH 12/22] fix non stream local deployment rust sdk --- .../runagent/src/client/runagent_client.rs | 16 +++ templates/agno/default/simple_assistant.py | 2 +- test_scripts/rust/test_agno/src/main.rs | 100 +++++++++--------- 3 files changed, 67 insertions(+), 51 deletions(-) diff --git a/runagent-rust/runagent/src/client/runagent_client.rs b/runagent-rust/runagent/src/client/runagent_client.rs index 330204b..ce28691 100644 --- a/runagent-rust/runagent/src/client/runagent_client.rs +++ b/runagent-rust/runagent/src/client/runagent_client.rs @@ -244,12 +244,28 @@ impl RunAgentClient { if let Some(data) = response.get("data") { if let Some(result_data) = data.get("result_data") { if let Some(output_data) = result_data.get("data") { + // Check if the output contains a generator object string + if let Some(content_str) = output_data.as_str() { + if content_str.contains("generator object") { + tracing::warn!("Agent returned generator object instead of content. Consider using streaming endpoint for this agent."); + // Return the raw string for now + return Ok(output_data.clone()); + } + } return self.serializer.deserialize_object(output_data.clone()); } } } // Fallback to old format for backward compatibility if let Some(output_data) = response.get("output_data") { + // Check if the output contains a generator object string + if let Some(content_str) = output_data.as_str() { + if content_str.contains("generator object") { + tracing::warn!("Agent returned generator object instead of content. Consider using streaming endpoint for this agent."); + // Return the raw string for now + return Ok(output_data.clone()); + } + } return self.serializer.deserialize_object(output_data.clone()); } Ok(Value::Null) diff --git a/templates/agno/default/simple_assistant.py b/templates/agno/default/simple_assistant.py index 6052041..4e24098 100644 --- a/templates/agno/default/simple_assistant.py +++ b/templates/agno/default/simple_assistant.py @@ -19,7 +19,7 @@ def agent_print_response(prompt: str): # Return structured data that can be serialized return { - "content": response.content if hasattr(response, 'content') else str(response), + "content": response.content } def agent_print_response_stream(prompt: str): diff --git a/test_scripts/rust/test_agno/src/main.rs b/test_scripts/rust/test_agno/src/main.rs index a337b26..aec56a6 100644 --- a/test_scripts/rust/test_agno/src/main.rs +++ b/test_scripts/rust/test_agno/src/main.rs @@ -1,69 +1,69 @@ -// use runagent::client::RunAgentClient; -// use serde_json::json; +use runagent::client::RunAgentClient; +use serde_json::json; -// #[tokio::main] -// async fn main() -> Result<(), Box> { -// println!("🧪 Testing agno Agent with Rust SDK"); +#[tokio::main] +async fn main() -> Result<(), Box> { + println!("🧪 Testing agno Agent with Rust SDK"); -// // Replace with the actual agent ID from `runagent serve` -// let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; + // Replace with the actual agent ID from `runagent serve` + let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; -// // Test: Non-streaming execution -// println!("\n🚀 Testing Non-Streaming Execution"); -// println!("=================================="); + // Test: Non-streaming execution + println!("\n🚀 Testing Non-Streaming Execution"); + println!("=================================="); -// // Connect directly with host and port since we know where the server is running -// let client = RunAgentClient::new( -// agent_id, -// "agno_print_response", -// true, // local = true -// // Some("127.0.0.1"), -// // Some(8452) // Use the port from your server output -// ).await?; + // Connect directly with host and port since we know where the server is running + let client = RunAgentClient::new( + agent_id, + "agno_print_response", + true, // local = true + // Some("127.0.0.1"), + // Some(8452) // Use the port from your server output + ).await?; -// // println!("🔗 Connected to agent at 127.0.0.1:8452"); + // println!("🔗 Connected to agent at 127.0.0.1:8452"); -// let response = client.run_with_args( -// &[json!("Write a report on Apple Inc")], // positional args -// &[] // no keyword args -// ).await?; + let response = client.run_with_args( + &[json!("Write a report on Apple Inc")], // positional args + &[] // no keyword args + ).await?; -// println!("✅ Response received:"); -// println!("{}", serde_json::to_string_pretty(&response)?); + println!("✅ Response received:"); + println!("{}", serde_json::to_string_pretty(&response)?); -// println!("\n✅ Test completed successfully!"); + println!("\n✅ Test completed successfully!"); -// Ok(()) -// } + Ok(()) +} // ******************************Streaming Part with agno**************************************** -use runagent::client::RunAgentClient; -use serde_json::json; -use futures::StreamExt; +// use runagent::client::RunAgentClient; +// use serde_json::json; +// use futures::StreamExt; -#[tokio::main] -async fn main() -> Result<(), Box> { - let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; +// #[tokio::main] +// async fn main() -> Result<(), Box> { +// let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; - println!("🌊 ag2 Streaming Test"); - let client = RunAgentClient::new(agent_id, "agno_print_response_stream", true).await?; +// println!("🌊 ag2 Streaming Test"); +// let client = RunAgentClient::new(agent_id, "agno_print_response_stream", true).await?; - let mut stream = client.run_stream(&[ - ("prompt", json!("Tell me about solar system")) - ]).await?; +// let mut stream = client.run_stream(&[ +// ("prompt", json!("Tell me about solar system")) +// ]).await?; - while let Some(chunk_result) = stream.next().await { - match chunk_result { - Ok(chunk) => println!("{}", chunk), - Err(e) => { - println!("Error: {}", e); - break; - } - } - } +// while let Some(chunk_result) = stream.next().await { +// match chunk_result { +// Ok(chunk) => println!("{}", chunk), +// Err(e) => { +// println!("Error: {}", e); +// break; +// } +// } +// } - Ok(()) -} \ No newline at end of file +// Ok(()) +// } \ No newline at end of file From a5290b285b95545c7abfba23437436241b96b61b Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Sun, 26 Oct 2025 17:36:46 +0000 Subject: [PATCH 13/22] lead scoring example --- examples/lead-score-flow/.gitignore | 2 + .../Automating_Tasks_with_CrewAI.md | 1946 +++++++++++++++++ examples/lead-score-flow/README.md | 85 + examples/lead-score-flow/pyproject.toml | 26 + examples/lead-score-flow/requirements.txt | 3 + examples/lead-score-flow/runagent.config.json | 31 + .../lead-score-flow/runagent_entrypoints.py | 335 +++ .../runagent_sdk/python/test_sdk.py | 14 + .../src/lead_score_flow/__init__.py | 0 .../src/lead_score_flow/constants.py | 47 + .../lead_response_crew/config/agents.yaml | 9 + .../lead_response_crew/config/tasks.yaml | 26 + .../lead_response_crew/lead_response_crew.py | 35 + .../crews/lead_score_crew/config/agents.yaml | 9 + .../crews/lead_score_crew/config/tasks.yaml | 32 + .../crews/lead_score_crew/lead_score_crew.py | 35 + .../src/lead_score_flow/leads.csv | 31 + .../src/lead_score_flow/main.py | 206 ++ .../src/lead_score_flow/types.py | 31 + .../lead_score_flow/utils/candidateUtils.py | 36 + .../runagent/src/client/rest_client.rs | 19 +- templates/agno/default/simple_assistant.py | 4 +- test_scripts/python/client_test_agno.py | 8 +- test_scripts/rust/test_agno/src/main.rs | 13 +- 24 files changed, 2963 insertions(+), 20 deletions(-) create mode 100644 examples/lead-score-flow/.gitignore create mode 100644 examples/lead-score-flow/Automating_Tasks_with_CrewAI.md create mode 100644 examples/lead-score-flow/README.md create mode 100644 examples/lead-score-flow/pyproject.toml create mode 100644 examples/lead-score-flow/requirements.txt create mode 100644 examples/lead-score-flow/runagent.config.json create mode 100644 examples/lead-score-flow/runagent_entrypoints.py create mode 100644 examples/lead-score-flow/runagent_sdk/python/test_sdk.py create mode 100644 examples/lead-score-flow/src/lead_score_flow/__init__.py create mode 100644 examples/lead-score-flow/src/lead_score_flow/constants.py create mode 100644 examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/agents.yaml create mode 100644 examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/tasks.yaml create mode 100644 examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/lead_response_crew.py create mode 100644 examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/agents.yaml create mode 100644 examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/tasks.yaml create mode 100644 examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/lead_score_crew.py create mode 100644 examples/lead-score-flow/src/lead_score_flow/leads.csv create mode 100644 examples/lead-score-flow/src/lead_score_flow/main.py create mode 100644 examples/lead-score-flow/src/lead_score_flow/types.py create mode 100644 examples/lead-score-flow/src/lead_score_flow/utils/candidateUtils.py diff --git a/examples/lead-score-flow/.gitignore b/examples/lead-score-flow/.gitignore new file mode 100644 index 0000000..d50a09f --- /dev/null +++ b/examples/lead-score-flow/.gitignore @@ -0,0 +1,2 @@ +.env +__pycache__/ diff --git a/examples/lead-score-flow/Automating_Tasks_with_CrewAI.md b/examples/lead-score-flow/Automating_Tasks_with_CrewAI.md new file mode 100644 index 0000000..5dc03cb --- /dev/null +++ b/examples/lead-score-flow/Automating_Tasks_with_CrewAI.md @@ -0,0 +1,1946 @@ +# Introduction to CrewAI + +In the digital age, businesses and organizations are continually searching for ways to optimize their workflows, enhance productivity, and reduce costs. One significant advancement in this pursuit is task automation, which leverages technology to perform repetitive tasks efficiently and accurately. Among the various tools available for task automation, CrewAI stands out as a robust and versatile solution. This chapter will introduce you to CrewAI, explore its capabilities, and explain its role in modern workflows. + +## What is CrewAI? + +CrewAI is an advanced AI architecture that leverages multiple intelligent agents working together to accomplish a variety of tasks. The term "crew" refers to AI agents that collaborate in a coordinated fashion to achieve complex goals. This framework is designed to automate multi-agent workflows, providing a robust solution for efficient task management and execution. + +### Key Features of CrewAI + +1. **Role-Based Agent Design**: + Each agent in CrewAI is designed with specific roles and responsibilities. This modular approach allows for specialized agents that can handle distinct aspects of a task, leading to better performance and efficiency. + +2. **Autonomous Inter-Agent Delegation**: + CrewAI supports autonomous delegation of tasks among agents. This means that agents can dynamically assign tasks to each other based on their capabilities and current workload, optimizing the workflow without human intervention. + +3. **Flexible Task Management**: + CrewAI offers a flexible task management system that supports both sequential and hierarchical task execution. This allows for complex workflows to be broken down into manageable sub-tasks, which can be executed in a coordinated manner. + +4. **Asynchronous Task Execution**: + Tasks within CrewAI can be executed asynchronously, meaning that agents can perform their tasks independently and simultaneously. This reduces bottlenecks and speeds up the overall process. + +5. **Tool Integration**: + CrewAI can integrate with various tools and systems, enabling seamless data flow and interaction between different software environments. This makes it easier to incorporate CrewAI into existing workflows. + +6. **Human Input Review and Output Customization**: + While CrewAI automates many processes, it also allows for human input and review at critical stages. This ensures that the final output meets quality standards and can be customized as needed. + +7. **Real-Time Management Dashboards**: + CrewAI provides real-time management dashboards that allow users to monitor agent performance, track progress, and automate alerts for specific events. This enhances transparency and control over the automated processes. + +## Why Automate Tasks with CrewAI? + +Task automation is crucial in modern workflows for several reasons: + +1. **Efficiency and Productivity**: + Automating repetitive and time-consuming tasks frees up human resources to focus on more strategic and creative activities. This leads to higher productivity and more efficient use of time. + +2. **Consistency and Accuracy**: + Automated processes are less prone to errors compared to manual tasks. CrewAI ensures that tasks are performed consistently and accurately, reducing the risk of mistakes. + +3. **Scalability**: + As businesses grow, the volume of tasks increases. Automation with CrewAI allows for scalable solutions that can handle larger workloads without additional human resources. + +4. **Cost Savings**: + By reducing the need for manual intervention, automation with CrewAI can lead to significant cost savings. It minimizes labor costs and improves operational efficiency. + +5. **Enhanced Collaboration**: + CrewAI's multi-agent framework promotes collaboration between AI agents, ensuring that tasks are completed more efficiently and effectively. + +## Real-World Examples of Task Automation with CrewAI + +### 1. Automating Email Responses + +CrewAI can be used to automate email responses, categorizing and replying to common queries without human intervention. This can save significant time for customer support teams. + +### 2. Data Analysis and Report Generation + +In a business setting, CrewAI can automate the process of data analysis and report generation. Agents can collect data from various sources, analyze it, and generate comprehensive reports, all without manual effort. + +### 3. Content Creation and Marketing Workflows + +CrewAI can streamline content creation and marketing workflows by automating tasks such as social media posting, blog writing, and email marketing campaigns. This ensures consistency and timely delivery of content. + +### 4. Automating SQL Tasks + +By integrating with databases and other tools, CrewAI can automate SQL tasks, such as data queries, updates, and backups. This reduces the need for manual database management. + +### 5. Automating YouTube Channel Management + +CrewAI can be used to automate various aspects of YouTube channel management, including video uploads, metadata optimization, and audience engagement. This helps content creators focus on producing high-quality videos. + +## Best Practices for Task Automation with CrewAI + +1. **Define Clear Goals and Roles**: + Before automating tasks, it's important to define clear goals and assign specific roles to each agent. This ensures that every aspect of the workflow is covered and that agents can work efficiently. + +2. **Start Small and Scale Up**: + When implementing CrewAI, start with automating simple tasks to understand the framework and its capabilities. Gradually scale up to more complex workflows as you become more comfortable with the system. + +3. **Monitor and Optimize**: + Regularly monitor the performance of your automated processes using CrewAI's real-time dashboards. Identify areas for improvement and optimize your workflows to enhance efficiency. + +4. **Incorporate Human Review**: + While automation can handle many tasks, it's important to incorporate human review at critical stages to ensure quality and accuracy. This hybrid approach combines the best of both worlds. + +5. **Stay Updated with New Features**: + CrewAI is continuously evolving, with new features and capabilities being added regularly. Stay updated with the latest developments to leverage the full potential of the framework. + +## Conclusion + +CrewAI is a powerful tool for task automation that can transform the way businesses operate. By leveraging its multi-agent framework, role-based design, and flexible task management capabilities, organizations can achieve higher efficiency, accuracy, and scalability. Whether automating simple tasks or complex workflows, CrewAI provides a robust solution that fits seamlessly into modern workflows. As you explore the possibilities of task automation with CrewAI, remember to start small, monitor performance, and continuously optimize your processes for the best results. + +# Getting Started with CrewAI + +In this chapter, readers will learn how to set up CrewAI, including installation and initial configuration. The chapter will guide users through the CrewAI interface and key components, culminating in the creation of their first AI agent. This foundational knowledge is essential for effectively using CrewAI. + +## Introduction + +CrewAI is a robust AI-based task automation platform designed to streamline workflows and improve efficiency. By leveraging AI agents, users can automate a wide range of tasks, from simple data retrieval to complex data analysis. This chapter will provide step-by-step instructions on setting up CrewAI, configuring it to suit your needs, navigating its interface, and creating your first AI agent. + +## System Requirements + +Before installing CrewAI, ensure your system meets the following requirements: + +### Hardware Requirements + +- **CPU**: Intel Broadwell or later, or an equivalent AMD processor. +- **RAM**: At least 8GB of RAM. +- **Disk Space**: Minimum of 200GB of free disk space. +- **GPU (optional but recommended for AI tasks)**: NVIDIA GPU with CUDA support. + +### Software Requirements + +- **Operating Systems**: + - Windows 10 or later + - macOS 10.15 (Catalina) or later + - Linux (Ubuntu 18.04 or later, CentOS 7 or later) +- **Python**: Python 3.7 or later. + +## Installation Steps + +The installation process for CrewAI varies slightly depending on your operating system. Follow the steps below for your respective OS. + +### Windows + +1. **Install Python**: + + - Download and install Python from the official website: [Python Downloads](https://www.python.org/downloads/). + - Ensure that you add Python to your system PATH during installation. + +2. **Install Git**: + + - Download and install Git from the official website: [Git for Windows](https://gitforwindows.org/). + +3. **Set Up Virtual Environment**: + + - Open Command Prompt and create a virtual environment: + ```sh + python -m venv crewai_env + ``` + - Activate the virtual environment: + ```sh + crewai_env\Scripts\activate + ``` + +4. **Clone CrewAI Repository**: + + - Clone the CrewAI repository from GitHub: + ```sh + git clone https://github.com/crewAIInc/crewAI.git + cd crewAI + ``` + +5. **Install Dependencies**: + + - Install the required dependencies using pip: + ```sh + pip install -r requirements.txt + ``` + +6. **Run CrewAI**: + - Start the CrewAI application: + ```sh + python run.py + ``` + +### macOS + +1. **Install Python**: + + - macOS comes with Python pre-installed, but it's recommended to install the latest version using Homebrew: + ```sh + brew install python + ``` + +2. **Install Git**: + + - Install Git using Homebrew: + ```sh + brew install git + ``` + +3. **Set Up Virtual Environment**: + + - Open Terminal and create a virtual environment: + ```sh + python3 -m venv crewai_env + ``` + - Activate the virtual environment: + ```sh + source crewai_env/bin/activate + ``` + +4. **Clone CrewAI Repository**: + + - Clone the CrewAI repository from GitHub: + ```sh + git clone https://github.com/crewAIInc/crewAI.git + cd crewAI + ``` + +5. **Install Dependencies**: + + - Install the required dependencies using pip: + ```sh + pip install -r requirements.txt + ``` + +6. **Run CrewAI**: + - Start the CrewAI application: + ```sh + python run.py + ``` + +### Linux (Ubuntu) + +1. **Install Python**: + + - Update package list and install Python: + ```sh + sudo apt update + sudo apt install python3 python3-venv python3-pip + ``` + +2. **Install Git**: + + - Install Git: + ```sh + sudo apt install git + ``` + +3. **Set Up Virtual Environment**: + + - Create a virtual environment: + ```sh + python3 -m venv crewai_env + ``` + - Activate the virtual environment: + ```sh + source crewai_env/bin/activate + ``` + +4. **Clone CrewAI Repository**: + + - Clone the CrewAI repository from GitHub: + ```sh + git clone https://github.com/crewAIInc/crewAI.git + cd crewAI + ``` + +5. **Install Dependencies**: + + - Install the required dependencies using pip: + ```sh + pip install -r requirements.txt + ``` + +6. **Run CrewAI**: + - Start the CrewAI application: + ```sh + python run.py + ``` + +## Initial Configuration + +After installing CrewAI, the next step is to configure it to suit your preferences and requirements. This involves setting up user preferences, configuring necessary settings, and connecting to any required services. + +### Setting Up User Preferences + +1. **Create Configuration File**: + + - In your project directory, create a file named `config.py`. + - Define your custom tool settings and parameters within this file. + +2. **Example Configuration**: + ```python + # config.py + DATABASE_URI = 'your_database_uri' + API_KEY = 'your_api_key' + USER_PREFERENCES = { + 'theme': 'dark', + 'notifications': True, + } + ``` + +### Connecting to Required Services + +1. **Database Connection**: + + - If your project requires a database connection, configure the database URI in your `config.py` file. + - Example: + ```python + DATABASE_URI = 'your_database_uri' + ``` + +2. **API Integrations**: + - For external APIs, configure the API keys and endpoints in your `config.py` file. + - Example: + ```python + API_KEY = 'your_api_key' + ``` + +### Running Your First CrewAI Project + +1. **Initialize CrewAI Agent**: + + - Create an instance of the CrewAI class and configure it using the parameters defined in your `config.py` file. + - Example: + + ```python + from crewai import CrewAI + from config import DATABASE_URI, API_KEY, USER_PREFERENCES + + agent = CrewAI(database_uri=DATABASE_URI, api_key=API_KEY, user_preferences=USER_PREFERENCES) + ``` + +2. **Start Agent**: + - Start the agent to begin processing tasks. + - Example: + ```python + agent.start() + ``` + +## Navigating the CrewAI Interface + +Understanding the CrewAI interface is crucial for effectively managing your projects and agents. Here are the main components of the interface and tips for efficient use. + +### Main Components + +1. **Dashboard**: + + - The dashboard provides an overview of your projects, recent activity, and key metrics. + - Customize the dashboard widgets to display the information most relevant to your workflow. + +2. **Projects**: + + - This section lists all your active and archived projects. + - Use tags and categories to organize your projects for easier navigation. + +3. **Agents**: + + - Define and manage your AI agents, view agent details, training status, and performance metrics. + - Regularly update and retrain your agents to ensure optimal performance. + +4. **Tasks**: + + - Assign tasks to your agents and track their progress and results. + - Utilize task templates for repetitive processes to save time. + +5. **Tools**: + + - Access various tools that can be integrated into your projects. + - Explore and experiment with new tools to enhance your agent's capabilities. + +6. **Settings**: + - Configure system-wide settings and preferences. + - Regularly review your settings to ensure they align with your current requirements. + +### Accessing Different Features + +- **Navigation Bar**: Located at the top or side of the interface, providing quick access to the main sections (Dashboard, Projects, Agents, Tasks, Tools, Settings). +- **Search Functionality**: Use the search bar to quickly locate projects, agents, or specific tasks. +- **Notifications Panel**: Stay updated with system notifications and alerts, accessible from the top-right corner of the interface. + +### Tips for Efficient Use + +1. **Customization**: Tailor the interface to your workflow by arranging dashboard widgets, setting up shortcuts, and configuring notification preferences. +2. **Shortcuts**: Learn and use keyboard shortcuts to navigate the interface more quickly. +3. **Documentation**: Regularly refer to the official CrewAI documentation for detailed guides and updates on new features. +4. **Community Support**: Engage with the CrewAI community through forums or social media to exchange tips, ask questions, and share experiences. +5. **Regular Reviews**: Periodically review your agent configurations, project setups, and task assignments to ensure everything is optimized for performance and efficiency. + +## Key Components of CrewAI + +Understanding the key components of CrewAI is essential for leveraging its full capabilities. Below are the core features and their roles in task automation: + +### Agents + +Agents are the fundamental building blocks of the CrewAI framework. Each agent is designed to perform specific tasks, and they can be specialized to handle various functions such as data analysis, web searching, or even collaborating and delegating tasks among coworkers. + +- **Agent Specialization and Role Assignment**: Agents can be assigned specific roles based on their capabilities, making them highly specialized in certain areas. This specialization ensures that tasks are handled by the most competent agents available. +- **Dynamic Task Decomposition**: Agents can break down complex tasks into smaller, manageable sub-tasks, which can then be handled either by the same agent or delegated to other agents. +- **Inter-Agent Communication and Collaboration**: Effective communication protocols allow agents to collaborate seamlessly, ensuring that tasks are completed efficiently and accurately. + +### Tasks + +Tasks are the specific activities or actions that need to be completed. In CrewAI, tasks can range from simple data retrieval to complex data processing and analysis. + +- **Task Creation and Management**: Tasks can be easily created, assigned, and managed within the CrewAI framework. The system allows for dynamic task allocation based on agent availability and specialization. +- **Focused Tasks to Reduce Hallucination**: Tasks are designed to be highly focused to minimize errors and improve accuracy, ensuring that agents provide reliable and relevant outputs. + +### Tools + +Tools in CrewAI are the resources and utilities that empower agents to perform their tasks. These can include anything from web searching capabilities and data analysis software to collaborative platforms and integration with external APIs. + +- **Empowering Agents with Capabilities**: Tools provide the necessary functionalities that agents need to execute their tasks effectively. For example, an agent tasked with data analysis might use specialized statistical software to complete its work. +- **Access to External Tools**: CrewAI agents have the ability to access and utilize external tools, enhancing their versatility and effectiveness in handling diverse tasks. + +### Processes + +Processes are the structured sequences of tasks that need to be completed to achieve a specific goal. In CrewAI, processes are designed to be adaptive and efficient, ensuring that tasks are completed in the most effective manner. + +- **Adaptive Workflow Execution**: Processes in CrewAI are designed to adapt to changing conditions and requirements, ensuring that workflows remain efficient and effective even in dynamic environments. +- **Workflow Automation**: CrewAI automates the entire workflow, from task initiation to completion, reducing the need for human intervention and thereby increasing efficiency. + +### Crews + +Crews are groups of agents that work together to complete complex tasks. Each crew is composed of agents with complementary skills, ensuring that all aspects of a task are covered. + +- **Collaborative Task Completion**: Crews enable efficient collaboration among agents, allowing for the division of labor and the pooling of expertise to tackle complex tasks. +- **Role-Playing for Context**: Within a crew, agents can assume specific roles that provide context and focus for their tasks, further enhancing their effectiveness. + +## Creating Your First AI Agent + +Now that you have set up and configured CrewAI, it’s time to create your first AI agent. Follow these steps to get started: + +### Define Agent’s Role and Goal + +1. **Identify the Task**: Determine the specific task or series of tasks you want the agent to perform. +2. **Set Goals**: Define clear goals for the agent. For example, if the task is data analysis, the goal could be to generate a detailed report. + +### Create Agent Configuration + +1. **Define Agent Parameters**: + - Open your `config.py` file and add parameters specific to your agent. + - Example: + ```python + AGENT_CONFIG = { + 'name': 'DataAnalyzer', + 'role': 'data_analysis', + 'goal': 'Generate detailed analysis report', + } + ``` + +### Initialize and Train the Agent + +1. **Initialize Agent**: + + - Create an instance of the CrewAI class and configure it using the parameters defined in your `config.py` file. + - Example: + + ```python + from crewai import CrewAI + from config import AGENT_CONFIG + + agent = CrewAI(config=AGENT_CONFIG) + ``` + +2. **Train Agent**: + - Depending on the complexity of the task, you may need to train the agent. This could involve feeding it data, adjusting its parameters, and iterating until it performs optimally. + - Example: + ```python + agent.train(training_data) + ``` + +### Deploy and Monitor the Agent + +1. **Deploy Agent**: + + - Once trained, deploy the agent to start performing its designated tasks. + - Example: + ```python + agent.deploy() + ``` + +2. **Monitor Agent**: + - Regularly monitor the agent’s performance through the CrewAI interface. Adjust its parameters as necessary to ensure it continues to perform optimally. + - Example: + ```python + agent.monitor() + ``` + +## Conclusion + +By following the steps outlined in this chapter, you should now have a well-configured CrewAI setup, understand how to navigate its interface, and have created your first AI agent. This foundational knowledge is crucial for effectively using CrewAI to automate tasks and improve workflow efficiency. Continue exploring the capabilities of CrewAI and experiment with different configurations and agents to unlock its full potential. + +# Core Concepts of CrewAI + +## Introduction to CrewAI Core Concepts + +CrewAI is an open-source multi-agent orchestration framework designed to facilitate the automation of tasks through the use of AI agents. It leverages advanced AI technologies to manage and automate tasks efficiently, enabling users to streamline their workflows and boost productivity. + +In this chapter, we will delve into the core concepts of CrewAI, including defining custom agents with flexible roles and goals, understanding tasks and workflows, and utilizing the CrewAI framework to manage tasks. By the end of this chapter, you will have a deeper understanding of how CrewAI operates and how you can leverage its capabilities for effective task automation. + +## Defining Custom Agents + +One of the fundamental aspects of CrewAI is the ability to define custom agents tailored to specific roles, capabilities, and goals. This section will explore the detailed process of defining these agents, their roles, and the importance of role flexibility and capability enhancement. + +### Roles + +Roles in CrewAI define the primary function of an agent. Each role comes with a set of responsibilities and expected behaviors. Assigning roles helps in organizing the workflow and ensuring that each agent knows its function and interacts with other agents accordingly. + +#### Role Assignment + +Role assignment involves specifying the primary function of an agent within CrewAI. For instance, an agent can be assigned as a data analyst, a manager, or a customer support representative. + +**Example:** + +```python +data_analyst_agent = CrewAIAgent(role='Data Analyst') +manager_agent = CrewAIAgent(role='Manager') +``` + +#### Importance of Roles + +Roles provide structure and clarity, helping to avoid role conflicts and ensuring that each agent performs its designated tasks effectively. This organization is crucial for maintaining an efficient workflow. + +### Capabilities + +Capabilities refer to the specific skills or functionalities an agent possesses. These can range from simple tasks like data entry to more complex abilities like natural language processing or executing machine learning models. + +#### Defining Capabilities + +Defining capabilities involves specifying the skills or functions an agent can perform. + +**Example:** + +```python +data_analyst_agent.add_capability('data_analysis') +manager_agent.add_capability('task_management') +``` + +#### Enhancing Capabilities + +Enhancing an agent’s capabilities allows it to adapt to evolving tasks by integrating new tools or updating existing ones. + +**Example:** + +```python +data_analyst_agent.enhance_capability('data_analysis', 'machine_learning') +``` + +### Goals + +Goals are the specific objectives an agent aims to achieve. These goals guide the agent’s actions and decision-making processes. + +#### Setting Goals + +Setting goals involves defining specific objectives for the agent. + +**Example:** + +```python +data_analyst_agent.set_goal('analyze_sales_data') +manager_agent.set_goal('optimize_team_performance') +``` + +#### Importance of Goals + +Clearly defined goals help agents remain focused and aligned with the overall objectives of the task or project. Goals also facilitate performance tracking and adjustments. + +### Role Flexibility and Capability Enhancement + +#### Role Flexibility + +Role flexibility allows agents to adapt to changing conditions and requirements, reducing the need for creating new agents for every new task. + +**Example:** + +```python +data_entry_agent.change_role('Data Analyst') +``` + +#### Capability Enhancement + +Enhancing capabilities ensures that agents can handle more complex and varied tasks over time. + +**Example:** + +```python +customer_support_agent.add_capability('sentiment_analysis') +``` + +### Real-World Examples + +#### Customer Support Crew + +- **Support Agent**: Handles customer queries, provides solutions, and escalates issues. + + ```python + support_agent = CrewAIAgent(role='Support Agent') + support_agent.add_capability('query_handling') + support_agent.set_goal('resolve_customer_issues') + ``` + +- **Manager Agent**: Oversees support agents, tracks performance, and optimizes processes. + + ```python + manager_agent = CrewAIAgent(role='Manager') + manager_agent.add_capability('performance_tracking') + manager_agent.set_goal('improve_support_efficiency') + ``` + +#### Data Analysis Crew + +- **Data Analyst**: Analyzes datasets, generates reports, and provides insights. + + ```python + data_analyst_agent = CrewAIAgent(role='Data Analyst') + data_analyst_agent.add_capability('data_analysis') + data_analyst_agent.set_goal('generate_insights') + ``` + +- **Visualization Specialist**: Creates visual representations of data for better understanding. + + ```python + visualization_agent = CrewAIAgent(role='Visualization Specialist') + visualization_agent.add_capability('data_visualization') + visualization_agent.set_goal('create_charts') + ``` + +## Understanding Tasks and Workflows + +A core component of CrewAI is its ability to define, assign, monitor, and complete tasks efficiently. This section will explore how tasks and workflows are managed within CrewAI, supported by real-world examples. + +### Defining Tasks + +Tasks in CrewAI are specific actions or sets of actions that need to be completed. Each task is defined with clear objectives, required inputs, and expected outcomes. + +### Assigning Tasks + +Tasks can be assigned to individual agents or groups of agents based on their roles, capabilities, and current workload. This ensures that tasks are distributed efficiently and completed in a timely manner. + +### Monitoring Tasks + +CrewAI provides tools for monitoring the progress of tasks, allowing users to track completion rates, identify bottlenecks, and make necessary adjustments. + +### Completing Tasks + +Once tasks are completed, CrewAI records the outcomes and provides feedback. This information can be used to improve future task assignments and workflows. + +### Real-World Examples + +#### Automating Email Responses + +A common use case for CrewAI is automating email responses. An email response agent can be defined with the following roles and capabilities: + +**Email Response Agent:** + +- **Role**: Customer Support +- **Capabilities**: Natural Language Processing, Email Handling +- **Goal**: Respond to customer inquiries + +```python +email_response_agent = CrewAIAgent(role='Customer Support') +email_response_agent.add_capability('natural_language_processing') +email_response_agent.add_capability('email_handling') +email_response_agent.set_goal('respond_to_inquiries') +``` + +#### Data Analysis and Report Generation + +Another example is automating data analysis and report generation. A data analyst agent can be defined with the following roles and capabilities: + +**Data Analyst Agent:** + +- **Role**: Data Analyst +- **Capabilities**: Data Analysis, Report Generation +- **Goal**: Generate Monthly Sales Reports + +```python +data_analyst_agent = CrewAIAgent(role='Data Analyst') +data_analyst_agent.add_capability('data_analysis') +data_analyst_agent.add_capability('report_generation') +data_analyst_agent.set_goal('generate_monthly_sales_reports') +``` + +## Utilizing the CrewAI Framework + +This section will provide a step-by-step guide on setting up the CrewAI environment, insights into agent communication, and workflow automation. Additionally, we will explore the integration of tools like Google Gemini, Groq, and LLama3 for enhanced task automation. + +### Setting Up the CrewAI Environment + +Setting up the CrewAI environment involves installing the necessary software, configuring settings, and initializing agents. + +**Step-by-Step Guide:** + +1. **Install CrewAI**: Download and install the CrewAI software from the official repository. +2. **Configure Settings**: Configure the necessary settings, including agent roles, capabilities, and goals. +3. **Initialize Agents**: Initialize agents and assign tasks. + +```python +# Install CrewAI +!pip install crewai + +# Configure Settings +crewai_config = { + 'agent_roles': ['Data Analyst', 'Manager'], + 'agent_capabilities': ['data_analysis', 'task_management'], + 'goals': ['generate_insights', 'optimize_team_performance'] +} + +# Initialize Agents +data_analyst_agent = CrewAIAgent(role='Data Analyst') +manager_agent = CrewAIAgent(role='Manager') +``` + +### Agent Communication and Workflow Automation + +Agents in CrewAI communicate with each other to coordinate tasks and workflows. This communication is facilitated through predefined protocols and messaging systems. + +### Integration of Tools + +CrewAI can integrate with various tools to enhance task automation. Some of the commonly used tools include Google Gemini, Groq, and LLama3. + +#### Google Gemini + +Google Gemini is a powerful tool for natural language processing and data analysis. Integration with CrewAI allows agents to leverage Google Gemini’s capabilities for tasks such as sentiment analysis and text summarization. + +#### Groq + +Groq is a high-performance computing platform that can be used for executing complex machine learning models. Integration with CrewAI enables agents to perform advanced data analysis and model execution. + +#### LLama3 + +LLama3 is an AI model designed for natural language understanding and generation. Integrating LLama3 with CrewAI allows agents to handle tasks involving natural language processing and text generation. + +### Example Integration + +**Integrating Google Gemini with CrewAI:** + +```python +# Import Google Gemini +from google_gemini import Gemini + +# Initialize Gemini +gemini = Gemini(api_key='your_api_key') + +# Define Agent with Gemini Capability +data_analyst_agent.add_capability('gemini_analysis') + +# Use Gemini for Data Analysis +def analyze_data_with_gemini(data): + analysis = gemini.analyze(data) + return analysis + +# Assign Task to Agent +data_analyst_agent.set_task(analyze_data_with_gemini, data) +``` + +## Best Practices and Tips + +To make the most of CrewAI, it’s essential to follow best practices for efficient task automation. This section will cover strategies, common pitfalls, and tips for maintaining and updating automated workflows. + +### Strategies for Efficient Task Automation + +1. **Define Clear Roles and Goals**: Ensure that each agent has well-defined roles and goals to prevent overlaps and ensure focused task execution. +2. **Enhance Capabilities Regularly**: Continuously update and enhance agent capabilities to keep up with evolving tasks and requirements. +3. **Monitor and Adjust Workflows**: Regularly monitor task progress and make necessary adjustments to optimize workflows. + +### Common Pitfalls and How to Avoid Them + +1. **Overloading Agents**: Avoid assigning too many tasks to a single agent. Distribute tasks evenly to ensure efficient completion. +2. **Neglecting Updates**: Regularly update agent capabilities and roles to keep up with changing requirements. +3. **Lack of Monitoring**: Continuously monitor task progress to identify and address bottlenecks promptly. + +### Tips for Maintaining and Updating Automated Workflows + +1. **Regular Reviews**: Conduct regular reviews of automated workflows to identify areas for improvement. +2. **Feedback Mechanisms**: Implement feedback mechanisms to gather insights and make data-driven improvements. +3. **Scalability**: Design workflows to be scalable, allowing for easy addition of new agents and tasks as needed. + +## Conclusion + +Understanding the core concepts of CrewAI is essential for leveraging its full potential in task automation. By defining custom agents with specific roles, capabilities, and goals, and effectively managing tasks and workflows, users can significantly enhance their productivity and streamline their operations. + +This chapter has provided a comprehensive overview of CrewAI’s core concepts, including practical examples and best practices. With this knowledge, you are now well-equipped to start automating tasks using CrewAI and optimizing your workflows for better efficiency and performance. + +# Automating Simple Tasks + +## Introduction to Automating Simple Tasks with CrewAI + +Automation has become an increasingly vital part of modern workflows, streamlining processes and boosting productivity. CrewAI is a powerful tool designed to automate tasks by leveraging AI agents. It is particularly useful in improving efficiency by handling repetitive tasks, allowing users to focus on more strategic activities. + +CrewAI allows for the creation of custom agents with specific roles and goals, making it adaptable to various domains such as content creation, marketing, data analysis, and more. In this chapter, we will provide a step-by-step guide to automating basic tasks using CrewAI, including a real-world example of automating email responses. We will also offer tips for optimizing simple automation processes. + +## Step-by-Step Guide to Automating Basic Tasks + +### Setting Up CrewAI + +Before you can start automating tasks with CrewAI, you need to set up the tool. Follow these steps to get started: + +#### 1. Installation + +**Step 1: Install Python** + +Ensure that you have Python installed on your system. You can download the latest version of Python from the [official website](https://www.python.org/downloads/). + +**Step 2: Install CrewAI** + +To install CrewAI, open your terminal (Command Prompt for Windows, Terminal for macOS and Linux) and run the following command: + +```sh +pip install crewai +``` + +For additional tools, you can use: + +```sh +pip install 'crewai[tools]' +``` + +#### 2. Configuration + +**Step 3: Setting Up Configuration Files** + +CrewAI requires some configuration to function correctly. Create a configuration file named `crewai_config.yaml` in your project directory. Here is a basic template: + +```yaml +api_key: YOUR_API_KEY +project_id: YOUR_PROJECT_ID +``` + +Replace `YOUR_API_KEY` and `YOUR_PROJECT_ID` with your actual API key and project ID from CrewAI. + +**Step 4: Setting Environment Variables** + +You can also set environment variables for sensitive information, such as API keys. For example, on Unix-based systems, you can add to your `.bashrc` or `.zshrc`: + +```sh +export CREWAI_API_KEY="YOUR_API_KEY" +export CREWAI_PROJECT_ID="YOUR_PROJECT_ID" +``` + +#### 3. Creating the First AI Agent + +**Step 5: Import CrewAI and Set Up the Agent** + +Open your Python IDE or text editor and create a new Python file (e.g., `create_agent.py`). Add the following code: + +```python +import crewai + +# Initialize CrewAI client +client = crewai.Client(api_key="YOUR_API_KEY", project_id="YOUR_PROJECT_ID") + +# Define the AI agent +agent = { + "name": "EmailResponder", + "description": "Automates email responses based on predefined templates.", + "tasks": [ + { + "name": "Check new emails", + "action": "check_email", + "frequency": "every 5 minutes" + }, + { + "name": "Respond to emails", + "action": "respond_email", + "template": "Thank you for your email. We will get back to you shortly." + } + ] +} + +# Create the agent +response = client.create_agent(agent) + +print(f"Agent created: {response}") +``` + +**Step 6: Running the Agent** + +Run your Python script to create and start the AI agent: + +```sh +python create_agent.py +``` + +You should see an output indicating that the agent has been successfully created. + +### Defining Tasks and Workflows + +Once you have set up CrewAI and created your first AI agent, the next step is to define the tasks you want to automate and manage the workflows. + +#### Task Definition + +Clearly define the tasks you want to automate. For example, automating email responses involves tasks such as reading emails, categorizing them, and generating appropriate responses. + +#### Workflow Management + +Use CrewAI's workflow management features to sequence tasks and ensure smooth execution. This includes setting up triggers and conditions for task execution. + +## Real-World Example: Automating Email Responses + +To demonstrate the power of CrewAI, let's walk through a real-world example of automating email responses. This example will cover reading emails, categorizing them, generating responses, and sending the responses. + +### Task Breakdown + +1. **Reading Emails:** The AI agent reads incoming emails and categorizes them based on pre-defined criteria (e.g., urgency, subject matter). +2. **Generating Responses:** The agent uses templates and machine learning models to generate appropriate responses. +3. **Sending Emails:** The agent sends the generated responses to the respective recipients. + +### Implementation + +#### Step 1: Reading Emails + +You need to access your email inbox to read incoming emails. Here’s a basic example of how to use an email library like `imaplib` to read emails: + +```python +import imaplib +import email + +# Connect to the server +mail = imaplib.IMAP4_SSL('imap.gmail.com') + +# Login to your account +mail.login('your-email@gmail.com', 'your-password') + +# Select the mailbox you want to check +mail.select('inbox') + +# Search for all emails in the inbox +status, messages = mail.search(None, 'ALL') + +# Convert messages to a list of email IDs +email_ids = messages[0].split() + +# Fetch the latest email +status, msg_data = mail.fetch(email_ids[-1], '(RFC822)') + +# Parse the email content +msg = email.message_from_bytes(msg_data[0][1]) + +# Print the subject of the email +print(msg['subject']) +``` + +#### Step 2: Categorizing Emails + +Next, categorize the emails using CrewAI’s natural language processing capabilities. For simplicity, let’s assume you are categorizing emails into "urgent," "normal," and "spam." + +```python +from crewai import CrewAI + +# Initialize CrewAI +crew = CrewAI(api_key='your-crewai-api-key') + +def categorize_email(subject): + response = crew.classify_text(subject) + return response['category'] + +subject = msg['subject'] +category = categorize_email(subject) +print(f"Email Category: {category}") +``` + +#### Step 3: Generating Responses + +Once the email is categorized, you can generate an appropriate response. CrewAI can assist in generating context-specific responses. + +```python +def generate_response(category): + if category == 'urgent': + response = "Thank you for your urgent email. We will get back to you shortly." + elif category == 'normal': + response = "Thank you for your email. We will respond at our earliest convenience." + elif category == 'spam': + response = "This email has been marked as spam." + else: + response = "Thank you for your email." + return response + +response_text = generate_response(category) +print(f"Generated Response: {response_text}") +``` + +#### Step 4: Sending Responses + +Finally, send the generated response back to the sender using an email sending library like `smtplib`. + +```python +import smtplib +from email.mime.text import MIMEText + +def send_email_response(to_email, subject, body): + # Setup the MIME + message = MIMEText(body, 'plain') + message['From'] = 'your-email@gmail.com' + message['To'] = to_email + message['Subject'] = f"Re: {subject}" + + # Use the SMTP server to send the email + server = smtplib.SMTP('smtp.gmail.com', 587) + server.starttls() + server.login('your-email@gmail.com', 'your-password') + server.sendmail('your-email@gmail.com', to_email, message.as_string()) + server.quit() + +send_email_response(msg['from'], msg['subject'], response_text) +``` + +This example covers the basic workflow of reading an email, categorizing it, generating a response, and sending it back to the sender using CrewAI. + +**Note:** For a production environment, you should use environment variables or secure vaults to manage sensitive information like email credentials and API keys. Additionally, you can leverage advanced CrewAI functionalities and libraries to handle more complex scenarios and improve the accuracy of email categorization and response generation. + +## Tips for Optimizing Simple Automation Processes + +To ensure that your automation processes are efficient and reliable, consider the following tips: + +### 1. Modularize Tasks + +Break down complex tasks into smaller, manageable modules. This improves maintainability and allows for easier updates. For instance, separate the email reading, categorization, response generation, and sending processes into distinct functions or modules. + +### 2. Use Pre-defined Templates + +Leverage pre-defined templates for common tasks to save time and ensure consistency. For instance, use email response templates for different scenarios. This not only speeds up the process but also ensures that the responses are professional and accurate. + +### 3. Implement Error Handling + +Ensure that your automation processes have robust error handling mechanisms. This includes logging errors and implementing fallback procedures. For example, if an email fails to send, log the error and attempt to resend it after a specified interval. + +### 4. Monitor and Review + +Regularly monitor the performance of your automated tasks and review the outcomes. Use analytics and reporting tools to identify areas for improvement. This helps in fine-tuning the processes and ensuring that they continue to meet the desired objectives. + +## Best Practices for Task Automation with CrewAI + +To make the most out of CrewAI, follow these best practices: + +### 1. Start Small + +Begin with automating simple tasks to gain familiarity with CrewAI. Gradually move on to more complex workflows as you become more comfortable. This incremental approach helps in building confidence and understanding the nuances of the tool. + +### 2. Customize AI Agents + +Tailor the AI agents to suit specific use-cases. This involves fine-tuning the agents' roles, goals, and workflows to match the requirements of the tasks. For example, you can create specialized agents for different types of email responses, such as customer support, sales inquiries, and more. + +### 3. Ensure Data Quality + +High-quality data is crucial for effective automation. Ensure that the data used by CrewAI is accurate, complete, and up-to-date. This enhances the performance of the AI agents and ensures that the outcomes are reliable and relevant. + +### 4. Integrate with Other Tools + +Maximize the potential of CrewAI by integrating it with other tools and APIs. This creates a seamless automation ecosystem and enhances functionality. For instance, integrate CrewAI with CRM systems, marketing platforms, and other enterprise tools to streamline workflows across different departments. + +## Conclusion + +Automating simple tasks using CrewAI can significantly improve efficiency and productivity. By following the step-by-step guide, leveraging real-world examples, and adhering to best practices, users can effectively get started with task automation. As you gain experience, you can explore more advanced features and tackle complex workflows, unlocking the full potential of CrewAI. + +This comprehensive guide provides actionable insights and practical steps to help readers automate tasks using CrewAI, enabling them to reap the benefits of task automation swiftly and efficiently. + +# Automating Complex Workflows with CrewAI + +### Advanced Task Automation Techniques + +In this chapter, we'll explore advanced techniques for automating complex workflows using CrewAI. We'll delve into real-world examples, such as automating data analysis and report generation, and provide best practices for managing intricate automation tasks. By the end of this chapter, you'll be equipped to tackle more sophisticated automation challenges with confidence. + +### Real-World Example: Automating Data Analysis and Report Generation + +#### Step 1: Setting Up Your CrewAI Environment + +Before diving into automation, ensure that you have CrewAI properly set up. Follow these steps to configure your environment: + +1. **Install CrewAI**: Download and install the latest version of CrewAI from the official website or repository. + ```bash + pip install crewai + ``` +2. **Initial Configuration**: Set up your CrewAI environment by configuring API keys, data sources, and other necessary credentials. Securely manage and handle API keys by storing them in environment variables or using a secrets management service. + +3. **Create Your First AI Agent**: Develop a basic AI agent to familiarize yourself with the interface and functionalities of CrewAI. + +#### Step 2: Data Collection + +For our example, let's automate the analysis of financial data. We'll use SEC 10-K reports as our data source. + +1. **Data Source Integration**: Connect CrewAI to a reliable data source, such as an SEC database or a financial data API. +2. **Data Ingestion**: Use CrewAI's data ingestion capabilities to fetch and store the necessary financial data. + + ```python + from crewai.connectors import DatabaseConnector + + db_connector = DatabaseConnector( + host="your_database_host", + user="your_username", + password="your_password", + database="your_database_name" + ) + + data = db_connector.query("SELECT * FROM financial_reports WHERE type='10-K'") + ``` + +#### Step 3: Data Analysis + +With the data collected, we'll move on to analyzing it using CrewAI. + +1. **Define Analysis Parameters**: Specify the financial metrics and key performance indicators (KPIs) you want to analyze. +2. **Create Analysis Workflows**: Develop workflows within CrewAI to automate the analysis process. This includes tasks such as data preprocessing, statistical analysis, and trend identification. + + ```python + analysis_params = { + "threshold": 0.8, + "time_frame": "last_30_days", + "metrics": ["revenue", "profit_margin", "expenses"] + } + + from crewai.tasks import Task + + data_preprocessing_task = Task( + name="Data Preprocessing", + function=data_preprocessing_function, + parameters={"source": "financial_reports"} + ) + + statistical_analysis_task = Task( + name="Statistical Analysis", + function=statistical_analysis_function, + parameters=analysis_params + ) + + trend_identification_task = Task( + name="Trend Identification", + function=trend_identification_function, + parameters={"metrics": analysis_params["metrics"]} + ) + + analysis_workflow = [data_preprocessing_task, statistical_analysis_task, trend_identification_task] + for task in analysis_workflow: + task.execute() + ``` + +#### Step 4: Report Generation + +Finally, we'll automate the generation of comprehensive reports based on the analyzed data. + +1. **Template Creation**: Design report templates that outline the structure and format of your reports. +2. **Automated Report Writing**: Use CrewAI's natural language generation (NLG) capabilities to populate the templates with analyzed data, creating well-structured and insightful reports. +3. **Report Distribution**: Set up automated workflows to distribute the generated reports via email, Slack, or other communication channels. + + ```python + def report_generation_function(analysis_results, params): + # Generate a PDF report with the analysis results + from fpdf import FPDF + + pdf = FPDF() + pdf.add_page() + pdf.set_font("Arial", size=12) + pdf.cell(200, 10, txt="Financial Analysis Report", ln=True) + pdf.cell(200, 10, txt=f"Total Revenue: {analysis_results['revenue']}", ln=True) + pdf.cell(200, 10, txt=f"Profit Margin: {analysis_results['profit_margin']}", ln=True) + pdf.cell(200, 10, txt=f"Total Expenses: {analysis_results['expenses']}", ln=True) + pdf.output("financial_analysis_report.pdf") + ``` + +### Best Practices for Managing Complex Workflows + +#### Modular Workflow Design + +Break down complex workflows into smaller, manageable modules. This approach simplifies troubleshooting and allows for easier updates and modifications. + +1. **Task Segmentation**: Divide tasks into distinct modules, each responsible for a specific aspect of the workflow. +2. **Dependency Management**: Clearly define dependencies between modules to ensure smooth execution and avoid bottlenecks. + +#### Error Handling and Recovery + +Implement robust error handling mechanisms to manage exceptions and ensure workflow continuity. + +1. **Automated Error Detection**: Use CrewAI to automatically detect and flag errors or anomalies during workflow execution. + + ```python + try: + task.execute() + except Exception as e: + print(f"Error executing task: {e}") + ``` + +2. **Recovery Procedures**: Develop automated recovery procedures to address common errors and resume workflow execution without manual intervention. + + ```python + from retry import retry + + @retry(tries=3, delay=2) + def execute_task(task): + task.execute() + ``` + +#### Continuous Improvement + +Regularly review and optimize your workflows to enhance efficiency and effectiveness. + +1. **Performance Monitoring**: Continuously monitor the performance of your workflows using CrewAI's analytics tools. + + ```python + import time + + start_time = time.time() + # Workflow execution + end_time = time.time() + execution_time = end_time - start_time + print(f"Workflow execution time: {execution_time} seconds") + ``` + +2. **Feedback Loop**: Establish a feedback loop to gather insights from users and stakeholders, and use this information to refine and improve your workflows. + +3. **Automation Updates**: Regularly update your automation scripts to incorporate new features, optimize performance, and address any identified issues. + +### Tackling Intricate Automation Challenges + +As you become more proficient with CrewAI, you'll encounter increasingly complex automation challenges. Here are some tips to help you navigate these challenges: + +1. **Leverage AI Capabilities**: Utilize CrewAI's advanced AI features, such as machine learning and natural language processing, to enhance your workflows. +2. **Integration with Other Tools**: Seamlessly integrate CrewAI with other software and APIs to create a cohesive automation ecosystem. +3. **Scalability**: Design workflows with scalability in mind, ensuring they can handle increased data volumes and complexity as your automation needs grow. + +### Conclusion + +By mastering advanced task automation techniques and best practices for managing complex workflows, you'll be well-equipped to leverage CrewAI for sophisticated automation projects. Whether you're automating data analysis and report generation or tackling intricate automation challenges, CrewAI provides the tools and capabilities to achieve your goals efficiently and effectively. + +This comprehensive guide should provide the necessary insights and information to write the chapter on automating complex workflows using CrewAI, fitting well with the rest of the book and meeting the author's goals. + +# Real-World Examples of Task Automation + +## Introduction + +In the modern digital landscape, task automation has emerged as a powerful tool for enhancing productivity, consistency, and efficiency. CrewAI, with its advanced capabilities, offers a robust framework for automating a diverse array of tasks. This chapter delves into three detailed case studies that showcase real-world applications of CrewAI: automating YouTube channel management, Instagram content strategy, and a daily technology news digest. Through these examples, you will gain insights into the practical steps, benefits, and best practices for leveraging CrewAI in your workflows. + +## Automating YouTube Channel Management Using CrewAI + +### Detailed Steps + +1. **Setting Up CrewAI** + +- **Sign Up and Access:** Start by signing up on the CrewAI platform and accessing the dashboard. +- **Create a New Project:** Initiate a new project specifically for YouTube channel management. This will help in organizing tasks and agents. + +2. **Defining Tasks and Agents** + +- **Identify Key Tasks:** Break down the YouTube management process into key tasks such as video creation, content scheduling, SEO optimization, and engagement tracking. +- **Assign Agents:** CrewAI allows you to create and deploy agents for each task. For instance, an agent for video scripting, another for editing, and one for SEO optimization. + +3. **Automating Video Creation** + +- **Script Writing:** Use a content generation agent to create video scripts based on trending topics and keywords. +- **Video Editing:** Implement an agent that can automate basic video editing tasks such as trimming, adding effects, and inserting intros/outros. +- **Thumbnail Creation:** Employ an image processing agent to generate eye-catching thumbnails. + +4. **Content Scheduling and Posting** + +- **Scheduling Agent:** Create an agent that schedules videos for upload at optimal times to maximize audience engagement. +- **Auto-Post:** Configure the agent to automatically post videos and updates across various social media platforms. + +5. **SEO Optimization** + +- **Keyword Research:** Use an SEO agent to perform keyword research and suggest tags, titles, and descriptions. +- **Performance Tracking:** Implement an agent to monitor video performance and suggest improvements based on analytics. + +6. **Audience Engagement** + +- **Comment Management:** Deploy an agent to manage comments, including filtering spam and highlighting important feedback. +- **Community Interaction:** Use an agent to interact with the community by responding to comments and messages. + +### Benefits + +- **Time Savings:** Automating repetitive tasks such as editing and scheduling frees up time to focus on content creation and strategy. +- **Consistency:** Ensures a consistent posting schedule and uniform quality of videos. +- **Enhanced Engagement:** Automated engagement tools help to maintain active communication with the audience, increasing viewer loyalty. +- **Data-Driven Decisions:** SEO and performance tracking agents provide actionable insights for optimizing content and strategy. + +### Tips and Best Practices + +- **Start Small:** Begin with automating a few simple tasks and gradually add more complex ones as you become comfortable with the platform. +- **Monitor Performance:** Regularly review the performance of your agents and make necessary adjustments to improve efficiency. +- **Stay Updated:** Keep an eye on new features and updates from CrewAI to leverage the latest advancements in AI technology. +- **Human Oversight:** While automation can handle many tasks, human oversight is essential to maintain quality and authenticity. + +## Automating Instagram Content Strategy Using CrewAI + +### Detailed Steps + +1. **Setup and Initialization** + +- **Install CrewAI:** First, you need to install the CrewAI framework. This can typically be done via a package manager like pip. + +```bash +pip install crewai +``` + +- **Initialize a New Project:** Create a new project directory and initialize CrewAI. + +```bash +mkdir instagram-automation +cd instagram-automation +crewai init +``` + +2. **Create AI Agents** + +- **Define Agent Roles:** Decide on the roles of your AI agents. For Instagram, you might need agents for Content Creation, Scheduling, Hashtag Optimization, and Analytics. +- **Content Creation Agent:** This agent can use language models to generate post captions, image descriptions, and even create images using generative models. + +```python +from crewai import Agent + +class ContentCreationAgent(Agent): +def generate_caption(self, topic): +# Logic to generate caption +return "This is a generated caption about " + topic +``` + +- **Scheduling Agent:** This agent schedules posts at optimal times for maximum engagement. + +```python +class SchedulingAgent(Agent): +def schedule_post(self, post, time): +# Logic to schedule post +return "Post scheduled for " + str(time) +``` + +- **Hashtag Optimization Agent:** This agent researches and suggests the best hashtags to use. + +```python +class HashtagOptimizationAgent(Agent): +def suggest_hashtags(self, topic): +# Logic to suggest hashtags +return ["#AI", "#Automation", "#Instagram"] +``` + +3. **Integrate Agents** + +- **Collaborative Workflow:** Define how these agents will work together. For example, the Content Creation Agent generates the content, the Hashtag Optimization Agent suggests hashtags, and the Scheduling Agent schedules the post. + +```python +from crewai import Crew + +class InstagramCrew(Crew): +def __init__(self): +self.content_agent = ContentCreationAgent() +self.hashtag_agent = HashtagOptimizationAgent() +self.schedule_agent = SchedulingAgent() + +def automate_instagram(self, topic, time): +caption = self.content_agent.generate_caption(topic) +hashtags = self.hashtag_agent.suggest_hashtags(topic) +post = f"{caption}\n\n{' '.join(hashtags)}" +return self.schedule_agent.schedule_post(post, time) +``` + +4. **Execution and Testing** + +- **Run and Test:** Run the CrewAI script and test the automation process with sample data. + +```python +if __name__ == "__main__": +crew = InstagramCrew() +print(crew.automate_instagram("AI in Social Media", "2024-04-05 10:00:00")) +``` + +5. **Deployment** + +- **Deploy:** Once tested, you can deploy the agents using a cloud service or run them on a local server. +- **Monitor and Improve:** Continuously monitor the performance of your agents and make improvements as necessary. + +### Benefits + +1. **Time Efficiency:** Automation significantly reduces the time spent on content creation, scheduling, and posting. +2. **Consistency:** Ensures that content is posted consistently, maintaining your audience's engagement. +3. **Enhanced Creativity:** AI can suggest new content ideas and hashtags that you might not have thought of. +4. **Data-Driven Decisions:** AI agents can analyze engagement data and adjust strategies accordingly. +5. **Scalability:** Easily scale your content strategy without a proportional increase in workload. + +### Tips and Best Practices + +1. **Start Small:** Begin with a few agents and gradually add more as you become comfortable with the system. +2. **Regular Updates:** Keep your models and agents updated to ensure they use the latest data and techniques. +3. **Human Oversight:** While automation is powerful, human oversight is necessary to ensure content aligns with your brand voice and values. +4. **Engage with Followers:** Automation can handle posting, but personal engagement with followers can significantly boost your account's performance. +5. **Leverage Analytics:** Use analytics agents to gain insights into what works and what doesn't, and adjust your strategy accordingly. + +## Automating a Daily Technology News Digest Using CrewAI + +### Detailed Steps + +1. **Agent Setup for News Collection** + +- **Identify Sources:** Determine the technology news sources you want to include in your digest. These could be well-known tech news websites, RSS feeds, or social media platforms. +- **Scraping Agents:** Set up CrewAI agents to scrape data from these sources. This involves configuring the agents to fetch the latest articles, headlines, and summaries. +- **API Integration:** If scraping is not feasible, integrate APIs from news sources to pull the latest data. + +2. **Organizing Data** + +- **Data Cleaning:** Use CrewAI's data processing capabilities to clean and filter the collected data. Remove any duplicates, irrelevant content, or spam. +- **Categorization:** Organize the news articles into relevant categories (e.g., AI, cybersecurity, startups). This helps in creating a structured digest that is easy to navigate. + +3. **Markdown Compilation** + +- **Content Formatting:** Convert the organized data into a readable format using Markdown. This step involves generating the content layout, including headlines, summaries, and links. +- **Template Design:** Create a Markdown template that your CrewAI agents can use to compile the daily news digest. This ensures consistency in the format. + +4. **Scheduling and Automation** + +- **Task Scheduling:** Use CrewAI's scheduling capabilities to automate the process. Set the agents to run at specific times (e.g., every morning) to gather, organize, and compile the news. +- **Delivery Mechanism:** Automate the delivery of the compiled digest. This could be via email, a blog post, or a social media update. Configure CrewAI to handle the posting automatically. + +### Benefits + +1. **Time Efficiency:** Automating the news digest saves considerable time that would otherwise be spent manually collecting and compiling news articles. +2. **Consistency:** Automated processes ensure that the news digest is consistently delivered at the same time each day, maintaining reliability and trust with your audience. +3. **Comprehensive Coverage:** CrewAI can monitor multiple sources simultaneously, ensuring that no significant news is missed. +4. **Customization:** The automation can be tailored to specific interests or needs, allowing for a highly customized news digest. + +### Tips and Best Practices + +1. **Regular Updates:** Ensure that your CrewAI agents are regularly updated to adapt to any changes in the news sources' structure or API endpoints. +2. **Quality Control:** Periodically review the automated digests to ensure the quality and relevance of the content. Make adjustments to the scraping and filtering processes as needed. +3. **Feedback Loop:** Incorporate user feedback to continuously improve the content and format of the news digest. This can help in keeping the digest relevant and engaging. +4. **Security:** Ensure that any data collected and processed by CrewAI complies with relevant data protection regulations. + +By following these steps and best practices, you can effectively use CrewAI to automate a daily technology news digest, providing timely and relevant news to your audience with minimal manual effort. + +## Conclusion + +The examples provided in this chapter illustrate the diverse applications of CrewAI in automating various tasks. Whether it's managing a YouTube channel, strategizing Instagram content, or compiling a daily technology news digest, CrewAI offers robust solutions that enhance efficiency, consistency, and engagement. By understanding and implementing the detailed steps, benefits, and best practices outlined here, you can harness the power of CrewAI to streamline your workflows and achieve greater productivity. + +# Integrating CrewAI with Other Tools + +## Introduction + +Integrating CrewAI with other tools and APIs is a crucial step in creating a cohesive and efficient automation ecosystem. CrewAI, built on the LangChain framework, allows users to create, manage, and deploy AI agents that can work collaboratively to achieve complex goals. This chapter focuses on how to connect CrewAI with other software, specifically providing a real-world example of automating SQL tasks with CrewAI and Groq. Additionally, it offers tips for seamless integration and data flow, ensuring that readers can effectively leverage CrewAI in their workflows. + +## 1. Introduction to CrewAI and Its Capabilities + +CrewAI is a powerful multi-agent framework designed to automate a wide range of tasks. Its capabilities include: + +- **Agent Specialization and Role Assignment:** Users can define specific roles for each agent, allowing for targeted task execution. +- **Dynamic Task Decomposition:** Tasks can be broken down into smaller, manageable sub-tasks, which are then assigned to appropriate agents. +- **Inter-Agent Communication:** Agents can communicate and collaborate to complete tasks more efficiently. +- **Integration with Third-Party Tools:** CrewAI can be integrated with various software and APIs, enhancing its utility in diverse automation scenarios. + +## 2. Automating SQL Tasks with CrewAI and Groq + +One of the real-world applications of CrewAI is automating SQL tasks, which can significantly streamline database management and data analysis processes. By integrating CrewAI with Groq, users can create an SQL Agent that automates various SQL operations. Below is a step-by-step guide to achieve this: + +### Step 1: Set Up CrewAI and Groq + +#### Install CrewAI + +1. **Create a Virtual Environment:** + + ```bash + python -m venv crewai_env + source crewai_env/bin/activate # On Windows use `crewai_env\Scripts\activate` + ``` + +2. **Install CrewAI:** + ```bash + pip install crewai + ``` + +#### Configure CrewAI + +1. **Create and Configure CrewAI Agents:** + - Once installed, create and configure your CrewAI agents. This typically involves setting up configuration files or using command-line parameters. + +#### Obtain API Keys + +**For CrewAI:** + +1. **Register on CrewAI Platform:** + + - Go to the CrewAI website and create an account if you don't already have one. + +2. **Generate API Key:** + - Navigate to the API section in your account settings and generate a new API key. + +**For Groq:** + +1. **Create or Log in to Your Groq Account:** + + - Visit the Groq website and either log in or create a new account. + +2. **Obtain Groq API Key:** + - Once logged in, navigate to the API section and generate a new API key. + - Save the API key securely as you will need it for configuration. + +#### Install Groq + +1. **Ensure Your Python Environment is Ready:** + + - Make sure you have the necessary Python environment set up. This can be the same virtual environment you created for CrewAI. + +2. **Install Groq:** + ```bash + pip install groq + ``` + +#### Add Groq to CrewAI + +1. **Integrate Groq with CrewAI:** + + - Integrate Groq into your CrewAI setup. This typically involves modifying configuration files or using initialization scripts to include Groq. + +2. **Configuration:** + + - Update your configuration settings to include the Groq API key. This can often be done in a configuration file or through environmental variables. + + ```python + import crewai + import groq + + crewai.init(api_key='YOUR_CREWAI_API_KEY') + groq.init(api_key='YOUR_GROQ_API_KEY') + ``` + +### Step 2: Define the SQL Agent + +1. **Create an Agent Class:** + + - Define a custom agent class in CrewAI to handle SQL tasks. + + ```python + import crewai + + class SQLAgent(crewai.Agent): + def __init__(self): + super().__init__("SQLAgent") + + def query_database(self, query): + # Example function to execute SQL query using Groq + return groq.execute(query) + ``` + +2. **Set Roles and Goals:** + - Assign specific roles and goals to the agent, such as querying data, updating records, or generating reports. + +### Step 3: Implement Task Automation + +1. **Task Decomposition:** + + - Break down the SQL tasks into smaller sub-tasks. For example, a data analysis task can be divided into data extraction, data cleaning, and data visualization. + +2. **Agent Collaboration:** + - Utilize CrewAI's inter-agent communication capabilities to enable the SQL agent to collaborate with other agents for tasks like data processing and reporting. + +### Step 4: Execute and Monitor + +1. **Run the Automation:** + + - Execute the automated tasks and monitor the performance using CrewAI's built-in observability tools. + + ```python + def main(): + sql_agent = SQLAgent() + query = "SELECT * FROM users" + result = sql_agent.query_database(query) + print(result) + + if __name__ == "__main__": + main() + ``` + +2. **Error Handling:** + - Implement error handling mechanisms to ensure smooth task execution and minimal downtime. + +## 3. Tips for Seamless Integration and Data Flow + +Integrating CrewAI with other tools and ensuring seamless data flow requires careful planning and execution. Here are some tips to help you achieve this: + +### 1. Understand the APIs and Tools: + +- **API Documentation:** + - Familiarize yourself with the documentation of the APIs and tools you plan to integrate with CrewAI. +- **Authentication:** + - Ensure you have the necessary API keys and tokens for authentication. + +### 2. Data Mapping and Transformation: + +- **Data Consistency:** + - Ensure that the data formats are consistent across different tools to avoid compatibility issues. +- **Data Transformation:** + - Use data transformation tools or scripts to convert data into the required formats for each tool. + +### 3. Error Handling and Logging: + +- **Error Logs:** + - Implement logging mechanisms to capture and analyze errors during task execution. +- **Retry Mechanisms:** + - Set up retry mechanisms to handle transient errors and ensure task completion. + +### 4. Performance Optimization: + +- **Task Prioritization:** + - Prioritize tasks based on their importance and urgency to optimize resource utilization. +- **Load Balancing:** + - Use load balancing techniques to distribute tasks evenly across agents and avoid bottlenecks. + +### 5. Security and Compliance: + +- **Data Security:** + - Ensure that sensitive data is encrypted and secure during transmission and storage. +- **Compliance:** + - Adhere to relevant data protection regulations and industry standards. + +## 4. Best Practices for Integrating CrewAI with Other Tools + +To create a cohesive automation ecosystem, follow these best practices: + +### 1. Start Small and Scale Gradually: + +- Begin with small, manageable tasks and gradually scale up to more complex workflows. +- Test each integration thoroughly before moving on to the next. + +### 2. Use Modularity and Reusability: + +- Design your agents and workflows to be modular and reusable. +- Create templates and libraries for common tasks to streamline future integrations. + +### 3. Maintain Documentation: + +- Keep detailed documentation of your integrations, including configurations, workflows, and troubleshooting steps. +- Regularly update the documentation to reflect changes and improvements. + +### 4. Collaborate and Share Knowledge: + +- Collaborate with other users and developers to share knowledge and best practices. +- Participate in community forums and contribute to open-source projects related to CrewAI. + +### 5. Monitor and Optimize Continuously: + +- Continuously monitor the performance of your automated tasks and integrations. +- Optimize the workflows based on performance metrics and user feedback. + +## Conclusion + +Integrating CrewAI with other tools and automating tasks such as SQL operations can significantly enhance productivity and efficiency. By following the steps and best practices outlined in this chapter, readers will be equipped to create a cohesive automation ecosystem using CrewAI. Whether you are a developer or a non-developer, CrewAI's versatile framework offers powerful capabilities to streamline your workflows and achieve your automation goals. + +--- + +This chapter is designed to provide readers with a comprehensive understanding of how to integrate CrewAI with other tools, focusing on practical examples and best practices to ensure successful implementation. + +# Best Practices for Task Automation with CrewAI + +Task automation has become a cornerstone of modern workflows, enabling individuals and organizations to save time, reduce errors, and enhance productivity. CrewAI, with its multi-agent framework, stands out as a powerful tool for achieving these goals. This chapter provides strategies for efficient task automation, highlights common pitfalls and how to avoid them, and offers tips for maintaining and updating automated workflows. By following these best practices, readers can implement and sustain effective automation solutions using CrewAI. + +## Strategies for Efficient Task Automation Using CrewAI + +### 1. Clear Task Descriptions + +Effective task automation begins with clear and concise task descriptions. When assigning tasks to CrewAI agents, it’s crucial to provide detailed explanations and expectations. This ensures that agents understand their roles and can execute them efficiently. + +- **Best Practice**: Use specific and unambiguous language when defining tasks. Avoid vagueness and ensure that all necessary information is included. +- **Example**: Instead of saying “Handle customer queries,” specify “Respond to customer queries regarding product returns within 24 hours.” + +### 2. Agent Specialization and Role Assignment + +CrewAI allows for the creation of specialized agents with specific roles. Designing agents for particular tasks ensures that each task is handled by the agent best suited for it, thereby increasing efficiency. + +- **Best Practice**: Define agents with clear roles and assign tasks accordingly. Regularly review and refine these roles to match evolving requirements. +- **Example**: Create distinct agents for customer support, data analysis, and social media management rather than having one agent handle all these tasks. + +### 3. Dynamic Task Decomposition + +Breaking down complex tasks into smaller, manageable subtasks is a key strategy for efficient task automation. This approach allows multiple agents to work on different parts of a task simultaneously, leading to faster completion. + +- **Best Practice**: Decompose large tasks into subtasks that can be easily distributed among agents. Use CrewAI’s task management features to orchestrate the execution of these subtasks. +- **Example**: For a project involving data analysis, divide the task into data collection, data cleaning, statistical analysis, and report generation, and assign each subtask to specialized agents. + +### 4. Inter-Agent Communication and Collaboration + +Seamless communication and collaboration among agents are essential for the successful execution of tasks. CrewAI’s built-in communication protocols facilitate this process. + +- **Best Practice**: Set up robust communication channels between agents to ensure they can share information and collaborate effectively. +- **Example**: Use CrewAI's messaging system to enable agents working on related tasks to exchange updates and coordinate their efforts. + +## Common Pitfalls in Task Automation and Solutions + +### 1. Incomplete Task Outputs + +One common issue in task automation is incomplete outputs from agents, often due to task complexity or insufficient resources. + +- **Solution**: Regularly monitor agent outputs and ensure adequate resources are allocated to each agent. Adjust task complexity as needed. +- **Example**: If an agent consistently fails to complete its task, review its resource allocation and simplify the task if necessary. + +### 2. Errors in Agent Definition + +Incorrectly defining agents and their roles can lead to inefficiencies and errors in task execution. + +- **Solution**: Follow a structured approach to defining agents, specifying their roles and goals clearly. Regularly review and update these definitions. +- **Example**: Use a checklist to ensure all relevant aspects of an agent’s role are defined before deployment. + +### 3. Callback Hell + +Using too many nested callbacks can make workflows difficult to manage and debug. + +- **Solution**: Avoid excessive use of callbacks. Instead, use promises or async/await patterns to manage asynchronous tasks more effectively. +- **Example**: Refactor code to replace nested callbacks with promise chains or async functions, improving readability and maintainability. + +## Tips for Maintaining and Updating Automated Workflows + +### 1. Robust Testing and Validation + +Implementing thorough testing and validation processes helps identify and address issues in automated workflows, ensuring reliability and performance. + +- **Best Practice**: Use automated testing tools to validate workflows regularly. Establish a routine schedule for testing. +- **Example**: Create unit tests for individual tasks and integration tests for entire workflows to catch errors early. + +### 2. Incremental Deployment + +Deploying automated workflows incrementally rather than all at once allows for better control and easier adjustments based on feedback and observed performance. + +- **Best Practice**: Break down the deployment process into manageable stages and monitor each stage carefully. +- **Example**: Deploy a new workflow to a small group of users first and gather feedback before rolling it out to the entire organization. + +### 3. Regular Updates and Monitoring + +Continuous monitoring and regular updates are essential to adapt to changing requirements and incorporate new features and improvements. + +- **Best Practice**: Set up monitoring tools to track workflow performance and schedule regular updates to address any issues or improvements. +- **Example**: Use CrewAI’s analytics features to monitor workflow performance and identify areas for improvement. + +### 4. Documentation and Training + +Maintaining detailed documentation of workflows and providing training to team members ensures that everyone involved understands the automated processes and can contribute to their maintenance and improvement. + +- **Best Practice**: Create comprehensive documentation for each workflow, including setup instructions, process descriptions, and troubleshooting tips. Offer regular training sessions for team members. +- **Example**: Develop a knowledge base with articles and tutorials on using and maintaining CrewAI workflows. + +By adhering to these strategies, being aware of common pitfalls, and following the tips for maintenance, readers can effectively implement and sustain automated workflows using CrewAI. These practices will lead to more efficient task automation and better overall performance, enabling organizations to leverage the full potential of CrewAI in their operations. + +--- + +In conclusion, task automation with CrewAI offers immense potential for improving efficiency and productivity. By following the best practices outlined in this chapter, users can navigate the complexities of automation, avoid common pitfalls, and ensure their workflows remain effective and up-to-date. As automation continues to evolve, staying informed and adaptable will be key to leveraging the full benefits of CrewAI. + +# Advanced Topics + +In this chapter, we will explore advanced topics such as customizing AI agents for specific use-cases, utilizing machine learning within CrewAI for smarter automation, and discussing future trends in AI-based task automation. By mastering these concepts, readers will be well-prepared for ongoing advancements in the field of AI and automation. + +### Customizing AI Agents for Specific Use-Cases in CrewAI + +#### Understanding Custom AI Agents + +CrewAI provides the flexibility to customize AI agents to perform specific roles and tasks, which is crucial for creating effective and efficient automation workflows. Custom AI agents can be tailored to fit unique requirements by defining their roles, setting precise goals, selecting appropriate tools, and fine-tuning their parameters. + +#### Steps to Customize AI Agents + +**1. Define Roles:** + +- **Identify Specific Roles:** Determine the distinct roles that the AI agents will play within your workflow. Examples include a data researcher, content creator, or customer service representative. Each role should have a clear purpose and set of responsibilities. +- **Example:** A data researcher agent may be responsible for gathering and analyzing data, while a content creator agent focuses on generating written content. + +**2. Set Goals:** + +- **Outline Clear Goals:** Establish specific, measurable, achievable, relevant, and time-bound (SMART) goals for each role. These goals should align with the overall objectives of your project. +- **Example:** For a data researcher, a goal might be to gather 10 relevant sources on a given topic within a week. + +**3. Select Tools:** + +- **Identify Necessary Tools:** Determine which tools and technologies will support the roles and goals defined. This includes software, APIs, and other resources. +- **Integrate Tools into CrewAI:** Ensure that each AI agent has access to the necessary tools within the CrewAI framework. This may involve configuring APIs, connecting databases, or integrating third-party services. + +**4. Fine-Tuning:** + +- **Customize Agent Parameters:** Adjust the parameters of each AI agent to optimize their performance. This includes setting the language model, defining the agent’s persona, and tweaking other attributes. +- **Test and Iterate:** Continuously test the performance of AI agents, gather feedback, and make necessary adjustments to improve efficiency and accuracy. + +#### Example of Customization: Creating a Custom Data Processing Tool + +**1. Define the Role:** + +- **Role:** Data Processor +- **Responsibilities:** Collect, clean, and analyze data from various sources. + +**2. Set Goals:** + +- **Goals:** Collect data from at least three different sources, clean the data to remove inconsistencies, analyze the data to identify key trends, and deliver a comprehensive report within two weeks. + +**3. Select Tools:** + +- **Data Collection:** APIs, web scraping tools. +- **Data Cleaning:** Python libraries like Pandas. +- **Data Analysis:** Statistical tools, machine learning frameworks. + +**4. Customize Agent Parameters:** + +- **Language Model:** Use a specialized language model trained on data processing tasks. +- **Persona:** The agent should be detail-oriented and analytical. +- **Tools:** Integrate APIs for data collection, Python libraries for data cleaning, and machine learning frameworks for analysis. + +**5. Test and Iterate:** + +- **Initial Tests:** Run tests to ensure the agent collects and processes data correctly. +- **Feedback and Adjustments:** Gather feedback on the quality of the reports and make necessary adjustments to improve performance. + +### Utilizing Machine Learning within CrewAI for Smarter Automation + +#### Machine Learning Integration + +CrewAI leverages machine learning (ML) to enhance the intelligence and efficiency of its agents. By integrating ML models, agents can learn from data, make predictions, and continuously improve their performance. + +#### Key Techniques + +**1. Supervised Learning:** + +- **Training with Labeled Data:** Train agents using labeled datasets to perform specific tasks such as classification, regression, or prediction. +- **Example:** Training an agent to classify customer service inquiries based on historical data. + +**2. Unsupervised Learning:** + +- **Identifying Patterns:** Enable agents to identify patterns and relationships within data without predefined labels. This technique is useful for clustering and anomaly detection. +- **Example:** Grouping similar customer profiles based on purchasing behavior. + +**3. Reinforcement Learning:** + +- **Reward-Based Training:** Employ reward-based training to help agents learn optimal strategies through trial and error. +- **Example:** Training an agent to navigate a virtual environment by rewarding successful navigation and penalizing incorrect paths. + +#### Implementing ML Models + +**1. Data Preparation:** + +- **Gather and Preprocess Data:** Collect and preprocess the data needed for training your ML model. Ensure data quality and relevance. + +**2. Model Selection:** + +- **Choose Appropriate Model:** Select the ML model that best fits the task requirements. Options include decision trees, neural networks, support vector machines, etc. + +**3. Training:** + +- **Train the Model:** Use your prepared dataset to train the model. Utilize CrewAI’s integration capabilities to streamline this process. + +**4. Deployment:** + +- **Deploy Trained Model:** Deploy the trained model within CrewAI, allowing agents to utilize it for smarter task automation. + +### Future Trends in AI-Based Task Automation + +#### Increased Personalization + +As AI technology advances, there will be a greater emphasis on personalization. AI agents will be able to tailor their actions and responses based on individual user preferences and behaviors, leading to more customized and effective automation solutions. + +#### Enhanced Inter-Agent Collaboration + +Future developments will likely focus on improving the collaboration between multiple AI agents. This will include better communication protocols and the ability to dynamically delegate tasks among agents, enhancing overall efficiency and effectiveness. + +#### Integration with IoT + +The integration of AI-based task automation with the Internet of Things (IoT) will open new possibilities. Smart devices and sensors will work in tandem with AI agents to automate complex workflows, from smart home management to industrial automation. + +#### Ethical AI and Transparency + +As AI becomes more prevalent in task automation, there will be a growing need for ethical considerations and transparency. Ensuring that AI systems are fair, unbiased, and explainable will be crucial for gaining user trust and complying with regulatory standards. + +#### Continuous Learning and Adaptation + +Future AI agents will need to continuously learn and adapt to changing environments and new information. This will involve ongoing training and updates, allowing agents to stay current and effective in their roles. + +### Conclusion + +By understanding and implementing advanced customization techniques, leveraging machine learning, and staying informed about future trends, users can maximize the potential of CrewAI for task automation. These insights provide a robust foundation for creating intelligent, efficient, and adaptable AI agents tailored to specific use-cases. + +# Conclusion and Next Steps + +As we reach the conclusion of our journey through the world of CrewAI, it's essential to reflect on the key points we've covered and look forward to the exciting possibilities that lie ahead. This chapter aims to recap the essential takeaways from each chapter, encourage you to experiment and innovate with CrewAI, and provide resources for further learning and support. Our goal is to inspire and equip you to continue your journey in task automation with confidence and creativity. + +## Recap of Key Points + +### Introduction to CrewAI + +We began by introducing CrewAI, a powerful tool designed to streamline and automate tasks across various domains. We explored its capabilities and its role in modern workflows, emphasizing the importance of task automation in today's fast-paced world. CrewAI fits into the broader automation landscape by offering a flexible and scalable solution that can adapt to diverse needs. + +### Getting Started with CrewAI + +In the second chapter, we guided you through the initial setup of CrewAI. From installation to configuration, we covered the essential steps to get you started. We also introduced the CrewAI interface and key components, culminating in the creation of your first AI agent. This foundational knowledge is crucial for effectively using CrewAI and sets the stage for more advanced topics. + +### Core Concepts of CrewAI + +We then delved into the core concepts of CrewAI, exploring how to define custom agents with flexible roles and goals, understand tasks and workflows, and utilize the CrewAI framework to manage tasks efficiently. This chapter provided a deeper understanding of how CrewAI operates and how you can leverage its capabilities to automate various processes. + +### Automating Simple Tasks + +Building on the core concepts, we provided a step-by-step guide to automating basic tasks using CrewAI. Through a real-world example of automating email responses, we demonstrated how to define tasks, train agents with sample data, and deploy them effectively. We also offered tips for optimizing simple automation processes, helping you to see the immediate benefits of task automation. + +### Automating Complex Workflows + +With a solid foundation in simple task automation, we moved on to more complex workflows. We covered advanced techniques, including a real-world example of automating data analysis and report generation. Best practices for managing complex workflows were also discussed, enabling you to tackle more intricate automation challenges with confidence. + +### Real-World Examples of Task Automation + +To illustrate the diverse applications of CrewAI, we presented several case studies of task automation. From YouTube channel management to Instagram content strategy and daily technology news digest, these examples showcased the versatility and effectiveness of CrewAI in real-world scenarios. + +### Integrating CrewAI with Other Tools + +Recognizing the importance of a cohesive automation ecosystem, we explored how to integrate CrewAI with other software and APIs. We provided a real-world example of automating SQL tasks with CrewAI and Groq, along with tips for seamless integration and data flow. This knowledge is crucial for enhancing CrewAI's functionality and creating a robust automation environment. + +### Best Practices for Task Automation with CrewAI + +We shared strategies for efficient task automation, highlighted common pitfalls and how to avoid them, and offered tips for maintaining and updating automated workflows. These best practices ensure that you can implement and sustain effective automation solutions, maximizing the benefits of CrewAI. + +### Advanced Topics + +In the penultimate chapter, we ventured into advanced topics such as customizing AI agents for specific use-cases and utilizing machine learning within CrewAI for smarter automation. We also discussed future trends in AI-based task automation, preparing you for ongoing advancements in the field. + +## Encouragement to Experiment and Innovate + +As you continue your journey with CrewAI, we encourage you to experiment and innovate. Task automation is a rapidly evolving field, and the possibilities are vast. Here are some ways to keep pushing the boundaries: + +1. **Experiment with Different Tasks and Workflows:** Don't hesitate to try out new tasks and workflows. Experimentation is key to discovering what works best for your specific needs. + +2. **Look for Innovative Applications:** Think creatively about how CrewAI can be applied to various projects. Whether it's automating routine tasks or exploring new areas, innovation is at the heart of successful automation. + +3. **Stay Updated with Advancements:** The field of AI and task automation is continuously evolving. Stay informed about the latest advancements and trends to make the most of CrewAI's capabilities. + +4. **Join the CrewAI Community:** Collaboration and knowledge-sharing are invaluable. Join the CrewAI community to connect with other users, share experiences, and gain insights from experts. + +## Resources for Further Learning and Support + +To further your understanding and skills in task automation, we have compiled a list of valuable resources: + +### Official CrewAI Documentation + +The official documentation is a comprehensive resource that covers everything from basic setup to advanced features. It is an essential guide for mastering CrewAI. + +- [CrewAI Documentation](https://docs.crewai.com) + +### CrewAI Community Forum + +The community forum is a great place to ask questions, share ideas, and connect with other CrewAI users. It's a supportive environment where you can find solutions and collaborate on projects. + +- [CrewAI Community Forum](https://forum.crewai.com) + +### Tutorials and Guides + +Online tutorials and guides offer step-by-step instructions and practical examples to help you get the most out of CrewAI. These resources are perfect for both beginners and advanced users. + +- [CrewAI Tutorials on YouTube](https://youtube.com/crewai) + +### Books and Articles + +There are numerous books and articles available on AI and task automation. These resources provide deeper insights and broader perspectives on the subject, enhancing your knowledge and expertise. + +### Webinars and Workshops + +Participating in webinars and workshops can provide hands-on experience and direct interaction with experts. Keep an eye out for events hosted by CrewAI and other industry leaders. + +## Conclusion + +In conclusion, CrewAI offers powerful capabilities for automating a wide range of tasks. By following the steps outlined in this book, you can start with simple tasks and gradually move to more complex workflows. The integration of CrewAI with other tools allows you to create a cohesive automation ecosystem, enhancing efficiency and productivity. + +Remember, the journey doesn't end here. Continue to experiment, innovate, and learn. Utilize the resources provided, and don't hesitate to seek support from the CrewAI community. By leveraging CrewAI's capabilities and following best practices, you can significantly enhance your productivity and efficiency through task automation. + +Thank you for embarking on this journey with us. We hope that this book has provided you with the knowledge and inspiration to harness the power of CrewAI and achieve your automation goals. Happy automating! + +--- + +By leveraging CrewAI's capabilities and following best practices, you can significantly enhance your productivity and efficiency through task automation. Continue exploring and pushing the boundaries of what you can achieve with CrewAI! + +Begin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it! diff --git a/examples/lead-score-flow/README.md b/examples/lead-score-flow/README.md new file mode 100644 index 0000000..3dce794 --- /dev/null +++ b/examples/lead-score-flow/README.md @@ -0,0 +1,85 @@ +# Lead Score Flow + +Welcome to the Lead Score Flow project, powered by [crewAI](https://crewai.com). This example demonstrates how you can leverage Flows from crewAI to automate the process of scoring leads, including data collection, analysis, and scoring. By utilizing Flows, the process becomes much simpler and more efficient. + +## Overview + +This flow will guide you through the process of setting up an automated lead scoring system. Here's a brief overview of what will happen in this flow: + +1. **Load Leads**: The flow starts by loading lead data from a CSV file named `leads.csv`. + +2. **Score Leads**: The `LeadScoreCrew` is kicked off to score the loaded leads based on predefined criteria. + +3. **Human in the Loop**: The top 3 candidates are presented for human review, allowing for additional feedback or proceeding with writing emails. + +4. **Write and Save Emails**: Emails are generated and saved for all leads, with special attention to the top 3 candidates. + +By following this flow, you can efficiently automate the process of scoring leads, leveraging the power of multiple AI agents to handle different aspects of the lead scoring workflow. + +## Installation + +Ensure you have Python >=3.10 <=3.13 installed on your system. First, if you haven't already, install CrewAI: + +```bash +pip install crewai==0.130.0 +``` + +Next, navigate to your project directory and install the dependencies: + +1. First lock the dependencies and then install them: + +```bash +crewai install +``` + +### Customizing & Dependencies + +**Add your `OPENAI_API_KEY` into the `.env` file** +**Add your `SERPER_API_KEY` into the `.env` file** + +To customize the behavior of the lead score flow, you can update the agents and tasks defined in the `LeadDataCollectionCrew`, `LeadAnalysisCrew`, and `LeadScoringCrew`. If you want to adjust the flow itself, you will need to modify the flow in `main.py`. + +- **Agents and Tasks**: Modify `src/lead_score_flow/config/agents.yaml` to define your agents and `src/lead_score_flow/config/tasks.yaml` to define your tasks. This is where you can customize how lead data is collected, analyzed, and scored. + +- **Flow Adjustments**: Modify `src/lead_score_flow/main.py` to adjust the flow. This is where you can change how the flow orchestrates the different crews and tasks. + +## Running the Project + +To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project: + +```bash +crewai run +``` + +This command initializes the lead_score_flow, assembling the agents and assigning them tasks as defined in your configuration. + +When you kickstart the flow, it will orchestrate multiple crews to perform the tasks. The flow will first collect lead data, then analyze the data, score the leads, save the scores to a CSV file, and generate email drafts. + +## Understanding Your Flow + +The lead_score_flow is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in `config/tasks.yaml`, leveraging their collective skills to achieve complex objectives. The `config/agents.yaml` file outlines the capabilities and configurations of each agent in your flow. + +### Flow Structure + +1. **Collect Lead Data**: This step collects lead data from various sources. + +2. **Analyze Lead Data**: The `LeadAnalysisCrew` is kicked off to analyze the collected lead data. + +3. **Score Leads**: The analyzed data is then used to score the leads based on predefined criteria. + +4. **Save Lead Scores**: The lead scores are saved to a CSV file named `lead_scores.csv`. + +5. **Write and Save Emails**: Emails are generated and saved for all leads, with special attention to the top 3 candidates. + +By understanding the flow structure, you can see how multiple crews are orchestrated to work together, each handling a specific part of the lead scoring process. This modular approach allows for efficient and scalable lead scoring automation. + +## Support + +For support, questions, or feedback regarding the Lead Score Flow or crewAI: + +- Visit our [documentation](https://docs.crewai.com) +- Reach out to us through our [GitHub repository](https://github.com/joaomdmoura/crewai) +- [Join our Discord](https://discord.com/invite/X4JWnZnxPb) +- [Chat with our docs](https://chatg.pt/DWjSBZn) + +Let's create wonders together with the power and simplicity of crewAI. diff --git a/examples/lead-score-flow/pyproject.toml b/examples/lead-score-flow/pyproject.toml new file mode 100644 index 0000000..17920cc --- /dev/null +++ b/examples/lead-score-flow/pyproject.toml @@ -0,0 +1,26 @@ +[project] +name = "lead_score_flow" +version = "0.1.0" +description = "lead_score_flow using crewAI" +authors = [ + { name = "Your Name", email = "you@example.com" }, +] +requires-python = ">=3.10,<=3.13" +dependencies = [ + "crewai[tools]>=0.152.0", + "langchain-tools>=0.1.34", + "crewai-tools>=0.58.0", + "google-auth-oauthlib>=1.2.1", + "google-api-python-client>=2.145.0", + "pyvis>=0.3.2", +] + +[project.scripts] +kickoff = "lead_score_flow.main:kickoff" +plot = "lead_score_flow.main:plot" + +[build-system] +requires = [ + "hatchling", +] +build-backend = "hatchling.build" diff --git a/examples/lead-score-flow/requirements.txt b/examples/lead-score-flow/requirements.txt new file mode 100644 index 0000000..55f48c6 --- /dev/null +++ b/examples/lead-score-flow/requirements.txt @@ -0,0 +1,3 @@ +crewai +pydantic +nest-asyncio \ No newline at end of file diff --git a/examples/lead-score-flow/runagent.config.json b/examples/lead-score-flow/runagent.config.json new file mode 100644 index 0000000..d39695a --- /dev/null +++ b/examples/lead-score-flow/runagent.config.json @@ -0,0 +1,31 @@ +{ + "agent_name": "Lead Score Flow", + "description": "AI-powered lead scoring and response system using CrewAI", + "framework": "crewai", + "template": "lead_score", + "version": "1.0.0", + "created_at": "2025-10-26", + "template_source": { + "repo_url": "https://github.com/runagent-dev/runagent.git", + "path": "flows/lead-score-flow", + "author": "runagent" + }, + "agent_architecture": { + "entrypoints": [ + { + "file": "runagent_entrypoints.py", + "module": "run_flow", + "tag": "lead_score_flow" + }, + { + "file": "runagent_entrypoints.py", + "module": "score_single_candidate", + "tag": "score_candidate" + } + ] + }, + "env_vars": { + "OPENAI_API_KEY": "", + "SERPER_API_KEY": "" + } + } \ No newline at end of file diff --git a/examples/lead-score-flow/runagent_entrypoints.py b/examples/lead-score-flow/runagent_entrypoints.py new file mode 100644 index 0000000..b9bcafe --- /dev/null +++ b/examples/lead-score-flow/runagent_entrypoints.py @@ -0,0 +1,335 @@ +#!/usr/bin/env python +""" +RunAgent-compatible entry points for Lead Score Flow +""" +import asyncio +import csv +import json +import os +import re +import sys +from pathlib import Path +from typing import Dict, Any, List + +# Add the src directory to Python path +current_dir = Path(__file__).parent +src_dir = current_dir / "src" +if src_dir.exists(): + sys.path.insert(0, str(src_dir)) + +# Now import the modules +from lead_score_flow.constants import JOB_DESCRIPTION +from lead_score_flow.crews.lead_response_crew.lead_response_crew import LeadResponseCrew +from lead_score_flow.crews.lead_score_crew.lead_score_crew import LeadScoreCrew +from lead_score_flow.types import Candidate, CandidateScore +from lead_score_flow.utils.candidateUtils import combine_candidates_with_scores + + +def load_candidates_from_csv() -> List[Candidate]: + """Load candidates from the CSV file""" + csv_file = current_dir / "src" / "lead_score_flow" / "leads.csv" + + if not csv_file.exists(): + raise FileNotFoundError(f"CSV file not found at {csv_file}") + + candidates = [] + with open(csv_file, mode="r", newline="", encoding="utf-8") as file: + reader = csv.DictReader(file) + for row in reader: + candidate = Candidate(**row) + candidates.append(candidate) + + return candidates + + +async def score_single_candidate_async( + candidate: Candidate, + job_description: str, + additional_instructions: str = "" +) -> CandidateScore: + """Score a single candidate asynchronously""" + result = await ( + LeadScoreCrew() + .crew() + .kickoff_async( + inputs={ + "candidate_id": candidate.id, + "name": candidate.name, + "bio": candidate.bio, + "job_description": job_description, + "additional_instructions": additional_instructions, + } + ) + ) + return result.pydantic + + +def score_single_candidate( + candidate_id: str = None, + name: str = None, + email: str = None, + bio: str = None, + skills: str = None, + additional_instructions: str = "" +) -> Dict[str, Any]: + """ + RunAgent entry point: Score a single candidate + + Args: + candidate_id: Unique identifier for the candidate + name: Candidate's name + email: Candidate's email + bio: Candidate's biography/description + skills: Candidate's skills (comma-separated) + additional_instructions: Additional scoring criteria + + Returns: + Dictionary with candidate score and reasoning + """ + try: + # Create candidate object + candidate = Candidate( + id=candidate_id or "unknown", + name=name or "Unknown", + email=email or "unknown@example.com", + bio=bio or "", + skills=skills or "" + ) + + # Run async scoring + try: + loop = asyncio.get_event_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + if loop.is_running(): + # Create new loop if one is already running + try: + import nest_asyncio + nest_asyncio.apply() + except ImportError: + pass + score = loop.run_until_complete( + score_single_candidate_async(candidate, JOB_DESCRIPTION, additional_instructions) + ) + else: + score = asyncio.run( + score_single_candidate_async(candidate, JOB_DESCRIPTION, additional_instructions) + ) + + return { + "success": True, + "candidate_id": score.id, + "candidate_name": name, + "score": score.score, + "reason": score.reason, + "job_description": JOB_DESCRIPTION + } + + except Exception as e: + import traceback + return { + "success": False, + "error": str(e), + "traceback": traceback.format_exc(), + "candidate_id": candidate_id, + "candidate_name": name + } + + +async def score_all_candidates_async( + candidates: List[Candidate], + additional_instructions: str = "" +) -> List[CandidateScore]: + """Score all candidates asynchronously""" + tasks = [] + + for candidate in candidates: + task = asyncio.create_task( + score_single_candidate_async(candidate, JOB_DESCRIPTION, additional_instructions) + ) + tasks.append(task) + + scores = await asyncio.gather(*tasks) + return scores + + +async def generate_email_async( + candidate_id: str, + name: str, + bio: str, + proceed_with_candidate: bool +) -> str: + """Generate follow-up email for a candidate""" + result = await ( + LeadResponseCrew() + .crew() + .kickoff_async( + inputs={ + "candidate_id": candidate_id, + "name": name, + "bio": bio, + "proceed_with_candidate": proceed_with_candidate, + } + ) + ) + return result.raw + + +def run_flow( + top_n: int = 3, + additional_instructions: str = "", + generate_emails: bool = True +) -> Dict[str, Any]: + """ + RunAgent entry point: Run the complete lead scoring flow + + Args: + top_n: Number of top candidates to select (default: 3) + additional_instructions: Additional scoring criteria + generate_emails: Whether to generate follow-up emails (default: True) + + Returns: + Dictionary with scored candidates and email generation status + """ + try: + # Load candidates + candidates = load_candidates_from_csv() + + # Score all candidates + try: + loop = asyncio.get_event_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + if loop.is_running(): + try: + import nest_asyncio + nest_asyncio.apply() + except ImportError: + pass + scores = loop.run_until_complete( + score_all_candidates_async(candidates, additional_instructions) + ) + else: + scores = asyncio.run( + score_all_candidates_async(candidates, additional_instructions) + ) + + # Combine candidates with scores + scored_candidates = combine_candidates_with_scores(candidates, scores) + + # Sort by score + sorted_candidates = sorted( + scored_candidates, key=lambda c: c.score, reverse=True + ) + + # Get top N candidates + top_candidates = sorted_candidates[:top_n] + top_candidate_ids = {c.id for c in top_candidates} + + result = { + "success": True, + "total_candidates": len(candidates), + "top_candidates": [ + { + "id": c.id, + "name": c.name, + "email": c.email, + "score": c.score, + "reason": c.reason, + "bio": c.bio, + "skills": c.skills + } + for c in top_candidates + ], + "all_candidates": [ + { + "id": c.id, + "name": c.name, + "email": c.email, + "score": c.score, + "reason": c.reason + } + for c in sorted_candidates + ] + } + + # Generate emails if requested + if generate_emails: + emails_generated = [] + + async def generate_all_emails(): + tasks = [] + for candidate in sorted_candidates: + proceed = candidate.id in top_candidate_ids + task = asyncio.create_task( + generate_email_async( + candidate.id, + candidate.name, + candidate.bio, + proceed + ) + ) + tasks.append((candidate, proceed, task)) + + results = [] + for candidate, proceed, task in tasks: + email_content = await task + results.append({ + "candidate_id": candidate.id, + "candidate_name": candidate.name, + "candidate_email": candidate.email, + "proceed_with_candidate": proceed, + "email_content": email_content + }) + return results + + if loop.is_running(): + emails_generated = loop.run_until_complete(generate_all_emails()) + else: + emails_generated = asyncio.run(generate_all_emails()) + + result["emails_generated"] = emails_generated + result["emails_saved"] = len(emails_generated) + + return result + + except Exception as e: + import traceback + return { + "success": False, + "error": str(e), + "traceback": traceback.format_exc() + } + + +if __name__ == "__main__": + # Test the RunAgent-compatible entry points + print("Testing RunAgent-compatible Lead Score Flow") + print("=" * 50) + + # Test 1: Score a single candidate + print("\n1. Testing single candidate scoring:") + single_result = score_single_candidate( + candidate_id="test-1", + name="Test User", + email="test@example.com", + bio="Experienced React developer with 3 years of Next.js experience and AI integration skills.", + skills="React, Next.js, JavaScript, Vercel AI SDK" + ) + print(json.dumps(single_result, indent=2)) + + # Test 2: Run full flow + print("\n2. Testing full flow:") + flow_result = run_flow(top_n=3, generate_emails=False) + print(f"Total candidates: {flow_result.get('total_candidates')}") + print(f"Success: {flow_result.get('success')}") + if flow_result.get('success'): + print(f"Top {len(flow_result.get('top_candidates', []))} candidates:") + for candidate in flow_result.get('top_candidates', []): + print(f" - {candidate['name']}: {candidate['score']}") + else: + print(f"Error: {flow_result.get('error')}") \ No newline at end of file diff --git a/examples/lead-score-flow/runagent_sdk/python/test_sdk.py b/examples/lead-score-flow/runagent_sdk/python/test_sdk.py new file mode 100644 index 0000000..9ca9d0b --- /dev/null +++ b/examples/lead-score-flow/runagent_sdk/python/test_sdk.py @@ -0,0 +1,14 @@ +from runagent import RunAgentClient + +client = RunAgentClient( + agent_id="dbf63fb6-a11c-40a9-aae0-84e57b16ad01", + entrypoint_tag="lead_score_flow", + local=True +) + +result = client.run( + top_n=3, + generate_emails=True +) + +print(result) \ No newline at end of file diff --git a/examples/lead-score-flow/src/lead_score_flow/__init__.py b/examples/lead-score-flow/src/lead_score_flow/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/examples/lead-score-flow/src/lead_score_flow/constants.py b/examples/lead-score-flow/src/lead_score_flow/constants.py new file mode 100644 index 0000000..7139d5f --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/constants.py @@ -0,0 +1,47 @@ +JOB_DESCRIPTION = """ +# Junior React Developer + +**Position:** Junior React Developer +**Duration:** 12-month contract with the possibility of extension based on performance and project needs. + +We are seeking a motivated Junior React Developer to join our team and assist in the development of our cutting-edge Next.js web application. This project integrates the Vercel AI SDK to enhance user experience with advanced AI-driven features. + +**Key Responsibilities:** +- Develop and maintain React components and Next.js applications. +- Integrate AI-driven features using the Vercel AI SDK. +- Collaborate with senior developers to design and implement new features. +- Optimize application performance and ensure responsiveness across different devices. +- Participate in code reviews and contribute to best practices. +- Troubleshoot and debug issues to ensure the highest quality of the web application. + +**Qualifications:** +- 1-2 years of experience in front-end development with React and Next.js. +- Proficiency in JavaScript, TypeScript, CSS, and HTML. +- Experience with Git and RESTful APIs. +- Familiarity with Vercel AI SDK is a plus. +- Strong problem-solving skills and attention to detail. +- Excellent communication and teamwork abilities. +- Ability to work independently and take initiative on projects. + +**What We Offer:** +- Opportunity to work with cutting-edge technologies and AI integration. +- Collaborative and supportive work environment. +- Mentorship from senior developers to help grow your skills. +- Potential for role extension and career advancement within the company. +- Flexible working hours and the possibility of remote work. + +This role is ideal for someone looking to grow their skills in Next.js, React, and AI-powered web applications while contributing to impactful projects. +""" + +SKILLS = [ + "React", + "Next.js", + "JavaScript", + "TypeScript", + "Vercel AI SDK", + "CSS", + "HTML", + "Git", + "REST APIs", + "CrewAI", +] diff --git a/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/agents.yaml b/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/agents.yaml new file mode 100644 index 0000000..738e21b --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/agents.yaml @@ -0,0 +1,9 @@ +email_followup_agent: + role: > + HR Coordinator + goal: > + Compose personalized follow-up emails to candidates based on their bio and whether they are being pursued for the job. + If we are proceeding, request availability for a Zoom call. Otherwise, send a polite rejection email. + backstory: > + You are an HR professional named Sarah who works at CrewAI with excellent communication skills and a talent for crafting personalized and thoughtful + emails to job candidates. You understand the importance of maintaining a positive and professional tone in all correspondence. diff --git a/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/tasks.yaml b/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/tasks.yaml new file mode 100644 index 0000000..8dd9d17 --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/tasks.yaml @@ -0,0 +1,26 @@ +send_followup_email: + description: > + Compose personalized follow-up emails for candidates who applied to a specific job. + + You will use the candidate's name, bio, and whether the company wants to proceed with them to generate the email. + If the candidate is proceeding, ask them for their availability for a Zoom call in the upcoming days. + If not, send a polite rejection email. + + CANDIDATE DETAILS + ----------------- + Candidate ID: {candidate_id} + Name: {name} + Bio: + {bio} + + PROCEEDING WITH CANDIDATE: {proceed_with_candidate} + + ADDITIONAL INSTRUCTIONS + ----------------------- + - If we are proceeding, ask for their availability for a Zoom call within the next few days. + - If we are not proceeding, send a polite rejection email, acknowledging their effort in applying and appreciating their time. + + expected_output: > + A personalized email based on the candidate's information. It should be professional and respectful, + either inviting them for a Zoom call or letting them know we are pursuing other candidates. + agent: email_followup_agent diff --git a/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/lead_response_crew.py b/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/lead_response_crew.py new file mode 100644 index 0000000..62be8d1 --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/lead_response_crew.py @@ -0,0 +1,35 @@ +from crewai import Agent, Crew, Process, Task +from crewai.project import CrewBase, agent, crew, task + + +@CrewBase +class LeadResponseCrew: + """Lead Response Crew""" + + agents_config = "config/agents.yaml" + tasks_config = "config/tasks.yaml" + + @agent + def email_followup_agent(self) -> Agent: + return Agent( + config=self.agents_config["email_followup_agent"], + verbose=True, + allow_delegation=False, + ) + + @task + def send_followup_email_task(self) -> Task: + return Task( + config=self.tasks_config["send_followup_email"], + verbose=True, + ) + + @crew + def crew(self) -> Crew: + """Creates the Lead Response Crew""" + return Crew( + agents=self.agents, + tasks=self.tasks, + process=Process.sequential, + verbose=True, + ) diff --git a/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/agents.yaml b/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/agents.yaml new file mode 100644 index 0000000..e029f7a --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/agents.yaml @@ -0,0 +1,9 @@ +hr_evaluation_agent: + role: > + Senior HR Evaluation Expert + goal: > + Analyze candidates' qualifications and compare them against the job description to provide a score and reasoning. + backstory: > + As a Senior HR Evaluation Expert, you have extensive experience in assessing candidate profiles. You excel at + evaluating how well candidates match job descriptions by analyzing their skills, experience, cultural fit, and + growth potential. Your professional background allows you to provide comprehensive evaluations with clear reasoning. diff --git a/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/tasks.yaml b/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/tasks.yaml new file mode 100644 index 0000000..8548712 --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/tasks.yaml @@ -0,0 +1,32 @@ +evaluate_candidate: + description: > + Evaluate a candidate's bio based on the provided job description. + + Use your expertise to carefully assess how well the candidate fits the job requirements. Consider key factors such as: + - Skill match + - Relevant experience + - Cultural fit + - Growth potential + + CANDIDATE BIO + ------------- + Candidate ID: {candidate_id} + Name: {name} + Bio: + {bio} + + JOB DESCRIPTION + --------------- + {job_description} + + ADDITIONAL INSTRUCTIONS + ----------------------- + Your final answer MUST include: + - The candidates unique ID + - A score between 1 and 100. Don't use numbers like 100, 75, or 50. Instead, use specific numbers like 87, 63, or 42. + - A detailed reasoning, considering the candidate’s skill match, experience, cultural fit, and growth potential. + {additional_instructions} + + expected_output: > + A very specific score from 1 to 100 for the candidate, along with a detailed reasoning explaining why you assigned this score. + agent: hr_evaluation_agent diff --git a/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/lead_score_crew.py b/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/lead_score_crew.py new file mode 100644 index 0000000..c16c25b --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/lead_score_crew.py @@ -0,0 +1,35 @@ +from crewai import Agent, Crew, Process, Task +from crewai.project import CrewBase, agent, crew, task +from lead_score_flow.types import CandidateScore + + +@CrewBase +class LeadScoreCrew: + """Lead Score Crew""" + + agents_config = "config/agents.yaml" + tasks_config = "config/tasks.yaml" + + @agent + def hr_evaluation_agent(self) -> Agent: + return Agent( + config=self.agents_config["hr_evaluation_agent"], + verbose=True, + ) + + @task + def evaluate_candidate_task(self) -> Task: + return Task( + config=self.tasks_config["evaluate_candidate"], + output_pydantic=CandidateScore, + ) + + @crew + def crew(self) -> Crew: + """Creates the Lead Score Crew""" + return Crew( + agents=self.agents, + tasks=self.tasks, + process=Process.sequential, + verbose=True, + ) diff --git a/examples/lead-score-flow/src/lead_score_flow/leads.csv b/examples/lead-score-flow/src/lead_score_flow/leads.csv new file mode 100644 index 0000000..b381be3 --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/leads.csv @@ -0,0 +1,31 @@ +id,name,email,bio,skills +1,John Doe,johndoe@example.com,"John is a passionate junior developer with a strong background in front-end technologies. He recently completed a web development bootcamp, where he built multiple responsive websites using React, CSS, and HTML. John is eager to apply his skills in a real-world setting and grow as a developer. He is highly detail-oriented and a fast learner.","React, CSS, HTML, Git" +2,Sarah Lee,sarahlee@example.com,"Sarah is a self-taught developer who has been building personal projects for the past year. Her portfolio includes a fully responsive personal blog and a task manager app, both built using React and Next.js. She enjoys the challenge of problem-solving and is constantly expanding her skill set through online courses. Sarah thrives in collaborative environments and is excited to contribute to team projects.","React, Next.js, JavaScript, CSS, HTML" +3,Michael Young,michaelyoung@example.com,"Michael recently graduated from a coding bootcamp and is skilled in web development, particularly in React-based applications. During his bootcamp, he worked on a capstone project where he developed a social media dashboard using React, JavaScript, and Git for version control. Michael is passionate about technology and is looking for an opportunity to apply his skills in a dynamic team environment.","React, JavaScript, CSS, Git" +4,Linda Smith,lindasmith@example.com,"Linda is an experienced full-stack developer with a focus on front-end technologies. She has over three years of experience working with React and Next.js. Recently, she has been exploring AI integrations, using the Vercel AI SDK and CrewAI to enhance user experiences in web applications. Linda excels at creating seamless, user-friendly interfaces and optimizing performance.","React, Next.js, JavaScript, Vercel AI SDK, CrewAI, REST APIs" +5,Tom Brown,tombrown@example.com,"Tom is a mid-level developer with hands-on experience working on commercial projects using React and Next.js. He has built several customer-facing websites and eCommerce platforms, focusing on performance optimization and SEO. He is proficient in REST APIs and enjoys building scalable web solutions that improve user engagement.","React, Next.js, CSS, HTML, Git, REST APIs" +6,Kate Adams,kateadams@example.com,"Kate is an AI enthusiast with a solid background in front-end development and experience using the Vercel AI SDK and CrewAI. She has contributed to projects that leverage AI to improve user interaction and personalization. Kate is passionate about staying at the cutting edge of technology and is excited to work on projects that push the boundaries of what's possible.","React, Next.js, Vercel AI SDK, CrewAI, JavaScript, Git" +7,Robert Johnson,robertjohnson@example.com,"Robert is a highly skilled front-end developer with a deep knowledge of React and AI-powered applications. He has worked on multiple projects that integrate AI to provide enhanced user experiences, including a recommendation engine built using the Vercel AI SDK. Robert is known for his attention to detail and ability to produce high-quality, maintainable code.","React, Next.js, JavaScript, Vercel AI SDK, CrewAI, CSS, Git, REST APIs" +8,Emily Davis,emilydavis@example.com,"Emily is a beginner developer with a passion for learning and growing within the web development space. She has been building her foundation in HTML, CSS, and JavaScript by working on personal projects and completing online tutorials. Emily is looking for an opportunity to work on real-world projects and contribute to a team while continuing to develop her technical skills.","HTML, CSS, JavaScript" +9,James Wilson,jameswilson@example.com,"James is an intermediate developer with experience working primarily with React. He is eager to explore AI-driven projects and has recently started experimenting with Next.js and the Vercel AI SDK. James enjoys learning new technologies and applying them to solve real-world problems. He is looking for a role that will allow him to grow his skills and work on innovative projects.","React, JavaScript, Next.js, Git" +10,Amy White,amywhite@example.com,"Amy is a senior developer with extensive experience in full-stack development and AI integrations. She has led multiple projects, working with AI-powered tools such as CrewAI and the Vercel AI SDK to create dynamic, personalized web applications. Amy is passionate about mentoring junior developers and has a proven track record of delivering high-quality products.","React, Next.js, JavaScript, Vercel AI SDK, CrewAI, REST APIs, Git" +11,Jessica Brown,jessicabrown@example.com,"Jessica is a motivated junior developer with a strong foundation in React and Next.js. She has recently completed an internship where she worked on a team to build a responsive web application for a local business. Jessica is eager to continue building her skills and gain more experience in AI technologies.","React, Next.js, JavaScript, CSS" +12,Daniel Martinez,danielmartinez@example.com,"Daniel is a front-end developer with several years of experience working with React. He has recently started integrating AI-driven features into his projects using the Vercel AI SDK and CrewAI. Daniel enjoys working on projects that challenge him to think outside the box and is always looking for ways to improve the user experience.","React, Next.js, Vercel AI SDK, CrewAI, JavaScript, Git" +13,Olivia Clark,oliviaclark@example.com,"Olivia is a self-starter with a passion for web development. She has built several personal projects using React, focusing on improving her problem-solving skills. Olivia has a basic understanding of AI integrations and is eager to apply what she's learned in a professional setting.","React, JavaScript, CSS, HTML, Git" +14,Matthew Evans,matthewevans@example.com,"Matthew is an experienced developer with expertise in full-stack development. He has worked on several AI-driven front-end applications, integrating advanced technologies such as the Vercel AI SDK and CrewAI. Matthew is passionate about creating user-friendly, high-performance web applications and enjoys tackling complex technical challenges.","React, Next.js, JavaScript, Vercel AI SDK, CrewAI, Git, REST APIs" +15,Sophia Baker,sophiabaker@example.com,"Sophia is an entry-level developer who has recently started learning React and building personal projects. She is excited to continue growing her skills and has a particular interest in AI-powered web applications. Sophia is eager to learn from more experienced developers and contribute to a collaborative team.","React, CSS, HTML, Git" +16,Joshua Harris,joshuaharris@example.com,"Joshua is a mid-level developer specializing in React and Next.js. He has experience building scalable web applications for eCommerce platforms and is familiar with REST APIs. Joshua is always looking for new ways to improve his code and enjoys working in a fast-paced, dynamic environment.","React, Next.js, JavaScript, REST APIs, Git" +17,Chloe Turner,chloeturner@example.com,"Chloe is a developer passionate about AI-powered applications. She has strong skills in both CrewAI and the Vercel AI SDK, which she has used to create personalized, data-driven user experiences. Chloe is looking to work on cutting-edge projects where she can continue to grow her skills and contribute to innovative solutions.","React, Next.js, JavaScript, Vercel AI SDK, CrewAI, REST APIs, CSS" +18,Luke Roberts,lukeroberts@example.com,"Luke is a junior developer focused on building user-friendly React applications with clean, efficient code. He has a strong understanding of front-end fundamentals and is eager to continue building his skills in more advanced technologies, such as Next.js and AI integrations.","React, JavaScript, CSS, HTML" +19,Emma Mitchell,emmamitchell@example.com,"Emma is a web developer with strong skills in integrating AI solutions into front-end projects. She has experience working with both the Vercel AI SDK and CrewAI and enjoys creating applications that provide a seamless user experience. Emma is looking to join a team where she can contribute her technical skills and continue to grow as a developer.","React, Next.js, JavaScript, Vercel AI SDK, CrewAI, REST APIs" +20,Henry Garcia,henrygarcia@example.com,"Henry is a recent graduate with a focus on AI-powered web applications. He has completed several projects, including a Next.js app that leverages the Vercel AI SDK for personalized recommendations. Henry is passionate about applying AI to solve real-world problems and is eager to join a team that shares his enthusiasm.","React, JavaScript, Vercel AI SDK, CrewAI, Next.js, Git" +21,Grace Hill,gracehill@example.com,"Grace is a junior developer with a strong foundation in web development and a growing interest in AI technologies. She has built multiple personal projects using React and JavaScript, including a weather app and a blog site. Grace is eager to join a team where she can expand her knowledge of Next.js and AI-driven solutions.","React, JavaScript, CSS, HTML, Git" +22,David Foster,davidfoster@example.com,"David is a mid-level React developer with experience in building responsive web applications using Next.js. He has worked on several eCommerce projects and is proficient in modern front-end technologies. David has recently started exploring AI integrations using the Vercel AI SDK and is looking for a role where he can apply these skills.","React, Next.js, JavaScript, CSS, HTML, Git" +23,Isabella Russell,isabellarussell@example.com,"Isabella is an entry-level developer with basic React knowledge and a passion for learning new technologies. She has completed several online courses and built personal projects focused on improving her front-end development skills. Isabella is looking for an opportunity to gain hands-on experience and contribute to a real-world project.","React, CSS, HTML, JavaScript" +24,Ethan Reed,ethanreed@example.com,"Ethan is a self-taught web developer with experience in full-stack development and AI-driven solutions. He has built several web applications using React, Next.js, and the Vercel AI SDK. Ethan enjoys tackling complex problems and is excited to continue working on AI-powered projects that enhance user experience.","React, Next.js, JavaScript, CrewAI, Vercel AI SDK, REST APIs" +25,Abigail Ward,abigailward@example.com,"Abigail is an intermediate developer with strong React skills and experience in integrating AI into web applications. She has worked on projects that leverage the Vercel AI SDK to deliver personalized content to users. Abigail is passionate about user experience and enjoys building applications that are both functional and visually appealing.","React, Next.js, JavaScript, Vercel AI SDK, CSS, Git" +26,Aiden Bailey,aidenbailey@example.com,"Aiden is an experienced full-stack developer with a focus on front-end technologies and AI-powered tools. He has led several projects that use CrewAI and the Vercel AI SDK to provide advanced AI-driven features. Aiden is excited to join a team where he can continue building innovative solutions and mentor junior developers.","React, Next.js, JavaScript, CrewAI, Vercel AI SDK, REST APIs" +27,Lily King,lilyking@example.com,"Lily is a junior developer with a solid understanding of React. She has worked on a few personal projects, including a to-do list app and a portfolio website. Lily is eager to contribute to AI-driven projects and is currently learning Next.js to improve her front-end development skills.","React, JavaScript, CSS, HTML, Git" +28,Benjamin Turner,benjaminturner@example.com,"Benjamin is a front-end developer with experience in modern web technologies and AI integrations. He has contributed to several projects that use the Vercel AI SDK and CrewAI to provide personalized user experiences. Benjamin is passionate about building scalable web applications and improving his skills in AI-powered solutions.","React, Next.js, Vercel AI SDK, CrewAI, JavaScript, CSS" +29,Zoe Barnes,zoebarnes@example.com,"Zoe is a junior developer looking to grow her skills in React and AI-driven web applications. She has built several personal projects and is constantly learning new technologies to improve her code. Zoe is excited to work on real-world projects where she can continue developing her skills and gain experience in AI integrations.","React, CSS, HTML, JavaScript, Git" +30,Alexander Cook,alexandercook@example.com,"Alexander is an experienced developer specializing in building high-performance web applications using React and Next.js. He has worked on projects that leverage CrewAI and the Vercel AI SDK to enhance user engagement through personalized features. Alexander enjoys working in fast-paced environments and collaborating with teams to build innovative solutions.","React, Next.js, JavaScript, CrewAI, Vercel AI SDK, REST APIs" diff --git a/examples/lead-score-flow/src/lead_score_flow/main.py b/examples/lead-score-flow/src/lead_score_flow/main.py new file mode 100644 index 0000000..1c95c0c --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/main.py @@ -0,0 +1,206 @@ +#!/usr/bin/env python +import asyncio +from typing import List + +from crewai.flow.flow import Flow, listen, or_, router, start +from pydantic import BaseModel + +from lead_score_flow.constants import JOB_DESCRIPTION +from lead_score_flow.crews.lead_response_crew.lead_response_crew import LeadResponseCrew +from lead_score_flow.crews.lead_score_crew.lead_score_crew import LeadScoreCrew +from lead_score_flow.types import Candidate, CandidateScore, ScoredCandidate +from lead_score_flow.utils.candidateUtils import combine_candidates_with_scores + + +class LeadScoreState(BaseModel): + candidates: List[Candidate] = [] + candidate_score: List[CandidateScore] = [] + hydrated_candidates: List[ScoredCandidate] = [] + scored_leads_feedback: str = "" + + +class LeadScoreFlow(Flow[LeadScoreState]): + initial_state = LeadScoreState + + @start() + def load_leads(self): + import csv + from pathlib import Path + + # Get the path to leads.csv in the same directory + current_dir = Path(__file__).parent + csv_file = current_dir / "leads.csv" + + candidates = [] + with open(csv_file, mode="r", newline="", encoding="utf-8") as file: + reader = csv.DictReader(file) + for row in reader: + # Create a Candidate object for each row + print("Row:", row) + candidate = Candidate(**row) + candidates.append(candidate) + + # Update the state with the loaded candidates + self.state.candidates = candidates + + @listen(or_(load_leads, "scored_leads_feedback")) + async def score_leads(self): + print("Scoring leads") + tasks = [] + + async def score_single_candidate(candidate: Candidate): + result = await ( + LeadScoreCrew() + .crew() + .kickoff_async( + inputs={ + "candidate_id": candidate.id, + "name": candidate.name, + "bio": candidate.bio, + "job_description": JOB_DESCRIPTION, + "additional_instructions": self.state.scored_leads_feedback, + } + ) + ) + + self.state.candidate_score.append(result.pydantic) + + for candidate in self.state.candidates: + print("Scoring candidate:", candidate.name) + task = asyncio.create_task(score_single_candidate(candidate)) + tasks.append(task) + + candidate_scores = await asyncio.gather(*tasks) + print("Finished scoring leads: ", len(candidate_scores)) + + @router(score_leads) + def human_in_the_loop(self): + print("Finding the top 3 candidates for human to review") + + # Combine candidates with their scores using the helper function + self.state.hydrated_candidates = combine_candidates_with_scores( + self.state.candidates, self.state.candidate_score + ) + + # Sort the scored candidates by their score in descending order + sorted_candidates = sorted( + self.state.hydrated_candidates, key=lambda c: c.score, reverse=True + ) + self.state.hydrated_candidates = sorted_candidates + + # Select the top 3 candidates + top_candidates = sorted_candidates[:3] + + print("Here are the top 3 candidates:") + for candidate in top_candidates: + print( + f"ID: {candidate.id}, Name: {candidate.name}, Score: {candidate.score}, Reason: {candidate.reason}" + ) + + # Present options to the user + print("\nPlease choose an option:") + print("1. Quit") + print("2. Redo lead scoring with additional feedback") + print("3. Proceed with writing emails to all leads") + + choice = input("Enter the number of your choice: ") + + if choice == "1": + print("Exiting the program.") + exit() + elif choice == "2": + feedback = input( + "\nPlease provide additional feedback on what you're looking for in candidates:\n" + ) + self.state.scored_leads_feedback = feedback + print("\nRe-running lead scoring with your feedback...") + return "scored_leads_feedback" + elif choice == "3": + print("\nProceeding to write emails to all leads.") + return "generate_emails" + else: + print("\nInvalid choice. Please try again.") + return "human_in_the_loop" + + @listen("generate_emails") + async def write_and_save_emails(self): + import re + from pathlib import Path + + print("Writing and saving emails for all leads.") + + # Determine the top 3 candidates to proceed with + top_candidate_ids = { + candidate.id for candidate in self.state.hydrated_candidates[:3] + } + + tasks = [] + + # Create the directory 'email_responses' if it doesn't exist + output_dir = Path(__file__).parent / "email_responses" + print("output_dir:", output_dir) + output_dir.mkdir(parents=True, exist_ok=True) + + async def write_email(candidate): + # Check if the candidate is among the top 3 + proceed_with_candidate = candidate.id in top_candidate_ids + + # Kick off the LeadResponseCrew for each candidate + result = await ( + LeadResponseCrew() + .crew() + .kickoff_async( + inputs={ + "candidate_id": candidate.id, + "name": candidate.name, + "bio": candidate.bio, + "proceed_with_candidate": proceed_with_candidate, + } + ) + ) + + # Sanitize the candidate's name to create a valid filename + safe_name = re.sub(r"[^a-zA-Z0-9_\- ]", "", candidate.name) + filename = f"{safe_name}.txt" + print("Filename:", filename) + + # Write the email content to a text file + file_path = output_dir / filename + with open(file_path, "w", encoding="utf-8") as f: + f.write(result.raw) + + # Return a message indicating the email was saved + return f"Email saved for {candidate.name} as {filename}" + + # Create tasks for all candidates + for candidate in self.state.hydrated_candidates: + task = asyncio.create_task(write_email(candidate)) + tasks.append(task) + + # Run all email-writing tasks concurrently and collect results + email_results = await asyncio.gather(*tasks) + + # After all emails have been generated and saved + print("\nAll emails have been written and saved to 'email_responses' folder.") + for message in email_results: + print(message) + + +def kickoff(): + """ + Run the flow. + """ + lead_score_flow = LeadScoreFlow() + lead_score_flow.kickoff() + + +def plot(): + """ + Plot the flow. + """ + lead_score_flow = LeadScoreFlow() + lead_score_flow.plot() + + +if __name__ == "__main__": + kickoff() diff --git a/examples/lead-score-flow/src/lead_score_flow/types.py b/examples/lead-score-flow/src/lead_score_flow/types.py new file mode 100644 index 0000000..09b78f5 --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/types.py @@ -0,0 +1,31 @@ +from pydantic import BaseModel + + +class JobDescription(BaseModel): + title: str + description: str + skills: str + + +class Candidate(BaseModel): + id: str + name: str + email: str + bio: str + skills: str + + +class CandidateScore(BaseModel): + id: str + score: int + reason: str + + +class ScoredCandidate(BaseModel): + id: str + name: str + email: str + bio: str + skills: str + score: int + reason: str diff --git a/examples/lead-score-flow/src/lead_score_flow/utils/candidateUtils.py b/examples/lead-score-flow/src/lead_score_flow/utils/candidateUtils.py new file mode 100644 index 0000000..e3a7130 --- /dev/null +++ b/examples/lead-score-flow/src/lead_score_flow/utils/candidateUtils.py @@ -0,0 +1,36 @@ +from typing import List + +from lead_score_flow.types import Candidate, CandidateScore, ScoredCandidate + + +def combine_candidates_with_scores( + candidates: List[Candidate], candidate_scores: List[CandidateScore] +) -> List[ScoredCandidate]: + """ + Combine the candidates with their scores using a dictionary for efficient lookups. + """ + print("COMBINING CANDIDATES WITH SCORES") + print("SCORES:", candidate_scores) + print("CANDIDATES:", candidates) + # Create a dictionary to map score IDs to their corresponding CandidateScore objects + score_dict = {score.id: score for score in candidate_scores} + print("SCORE DICT:", score_dict) + + scored_candidates = [] + for candidate in candidates: + score = score_dict.get(candidate.id) + if score: + scored_candidates.append( + ScoredCandidate( + id=candidate.id, + name=candidate.name, + email=candidate.email, + bio=candidate.bio, + skills=candidate.skills, + score=score.score, + reason=score.reason, + ) + ) + + print("SCORED CANDIDATES:", scored_candidates) + return scored_candidates diff --git a/runagent-rust/runagent/src/client/rest_client.rs b/runagent-rust/runagent/src/client/rest_client.rs index 44ba3e3..4a046ec 100644 --- a/runagent-rust/runagent/src/client/rest_client.rs +++ b/runagent-rust/runagent/src/client/rest_client.rs @@ -100,14 +100,15 @@ impl RestClient { data: Option<&Value>, params: Option<&HashMap>, ) -> RunAgentResult { - let url = self.get_url(path)?; + let mut url = self.get_url(path)?; - let mut request_builder = self.client.request(method, url); - - // Add authorization header if API key is available + // Add API key as token query parameter if available (matching WebSocket behavior) if let Some(ref api_key) = self.api_key { - request_builder = request_builder.header("Authorization", format!("Bearer {}", api_key)); + url.query_pairs_mut() + .append_pair("token", api_key); } + + let mut request_builder = self.client.request(method, url); // Add query parameters if let Some(params) = params { @@ -121,6 +122,11 @@ impl RestClient { .json(data); } + // Add Authorization header if API key is available + if let Some(ref api_key) = self.api_key { + request_builder = request_builder.header("Authorization", format!("Bearer {}", api_key)); + } + let response = request_builder.send().await?; self.handle_response(response).await } @@ -163,10 +169,11 @@ impl RestClient { input_kwargs: &HashMap, ) -> RunAgentResult { let data = serde_json::json!({ + "id": "run_start", "entrypoint_tag": entrypoint_tag, "input_args": input_args, "input_kwargs": input_kwargs, - "timeout_seconds": 60, + "timeout_seconds": 600, "async_execution": false }); diff --git a/templates/agno/default/simple_assistant.py b/templates/agno/default/simple_assistant.py index 4e24098..10f29c5 100644 --- a/templates/agno/default/simple_assistant.py +++ b/templates/agno/default/simple_assistant.py @@ -18,9 +18,7 @@ def agent_print_response(prompt: str): response = agent.run(prompt) # Return structured data that can be serialized - return { - "content": response.content - } + return response def agent_print_response_stream(prompt: str): """Streaming response that yields serializable chunks""" diff --git a/test_scripts/python/client_test_agno.py b/test_scripts/python/client_test_agno.py index 3a409af..0658916 100644 --- a/test_scripts/python/client_test_agno.py +++ b/test_scripts/python/client_test_agno.py @@ -1,9 +1,9 @@ # from runagent import RunAgentClient # ra = RunAgentClient( -# agent_id="27f68f00-e8cd-4965-9b91-fac501e132e3", +# agent_id="71b31b58-c2d6-49ab-b564-d72b1a449df7", # entrypoint_tag="agno_print_response", -# local=True +# local=False # ) @@ -17,9 +17,9 @@ from runagent import RunAgentClient ra = RunAgentClient( - agent_id="27f68f00-e8cd-4965-9b91-fac501e132e3", + agent_id="af662135-5c00-4a89-b947-300e34787f03", entrypoint_tag="agno_print_response_stream", - local=True + local=False ) for chunk in ra.run( diff --git a/test_scripts/rust/test_agno/src/main.rs b/test_scripts/rust/test_agno/src/main.rs index aec56a6..3231c1c 100644 --- a/test_scripts/rust/test_agno/src/main.rs +++ b/test_scripts/rust/test_agno/src/main.rs @@ -5,8 +5,7 @@ use serde_json::json; async fn main() -> Result<(), Box> { println!("🧪 Testing agno Agent with Rust SDK"); - // Replace with the actual agent ID from `runagent serve` - let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; + let agent_id = "af662135-5c00-4a89-b947-300e34787f03"; // Test: Non-streaming execution println!("\n🚀 Testing Non-Streaming Execution"); @@ -16,7 +15,7 @@ async fn main() -> Result<(), Box> { let client = RunAgentClient::new( agent_id, "agno_print_response", - true, // local = true + false, // local = true // Some("127.0.0.1"), // Some(8452) // Use the port from your server output ).await?; @@ -24,12 +23,12 @@ async fn main() -> Result<(), Box> { // println!("🔗 Connected to agent at 127.0.0.1:8452"); let response = client.run_with_args( - &[json!("Write a report on Apple Inc")], // positional args + &[json!("Write small paragraph on breaking bad tv series")], // positional args &[] // no keyword args ).await?; println!("✅ Response received:"); - println!("{}", serde_json::to_string_pretty(&response)?); + println!("{}",(&response)); println!("\n✅ Test completed successfully!"); @@ -46,10 +45,10 @@ async fn main() -> Result<(), Box> { // #[tokio::main] // async fn main() -> Result<(), Box> { -// let agent_id = "62718bcb-4292-4bb6-a65b-f2fe48e76a3a"; +// let agent_id = "af662135-5c00-4a89-b947-300e34787f03"; // println!("🌊 ag2 Streaming Test"); -// let client = RunAgentClient::new(agent_id, "agno_print_response_stream", true).await?; +// let client = RunAgentClient::new(agent_id, "agno_print_response_stream", false).await?; // let mut stream = client.run_stream(&[ // ("prompt", json!("Tell me about solar system")) From af4a7fab4e67378f7324184ab9666a56fd2daaf4 Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Sun, 26 Oct 2025 22:57:06 +0000 Subject: [PATCH 14/22] adding lead score agent example --- examples/lead-agent/backend/app.py | 147 + examples/lead-agent/deployment_guide.md | 378 ++ examples/lead-agent/frontend/index.html | 13 + .../lead-agent/frontend/package-lock.json | 3349 +++++++++++++++++ examples/lead-agent/frontend/package.json | 32 + .../lead-agent/frontend/postcss.config.js | 6 + examples/lead-agent/frontend/src/App.tsx | 713 ++++ examples/lead-agent/frontend/src/index.css | 17 + examples/lead-agent/frontend/src/main.tsx | 10 + .../lead-agent/frontend/tailwind.config.js | 11 + examples/lead-agent/frontend/tsconfig.json | 24 + .../lead-agent/frontend/tsconfig.node.json | 10 + examples/lead-agent/frontend/vite.config.ts | 18 + .../lead-score-flow/.gitignore | 0 .../Automating_Tasks_with_CrewAI.md | 0 .../lead-score-flow/README.md | 0 .../lead-score-flow/main.py} | 67 +- .../lead-score-flow/pyproject.toml | 0 .../lead-score-flow/requirements.txt | 0 .../lead-score-flow/runagent.config.json | 4 +- .../runagent_sdk/python/test_sdk.py | 4 +- .../runagent_sdk/rust/Cargo.toml | 13 + .../runagent_sdk/rust/src/main.rs | 37 + .../src/lead_score_flow/__init__.py | 0 .../src/lead_score_flow/constants.py | 0 .../lead_response_crew/config/agents.yaml | 0 .../lead_response_crew/config/tasks.yaml | 0 .../lead_response_crew/lead_response_crew.py | 0 .../crews/lead_score_crew/config/agents.yaml | 0 .../crews/lead_score_crew/config/tasks.yaml | 0 .../crews/lead_score_crew/lead_score_crew.py | 0 .../src/lead_score_flow/types.py | 0 .../lead_score_flow/utils/candidateUtils.py | 0 .../src/lead_score_flow/leads.csv | 31 - .../src/lead_score_flow/main.py | 206 - runagent/sdk/rest_client.py | 3 +- 36 files changed, 4812 insertions(+), 281 deletions(-) create mode 100644 examples/lead-agent/backend/app.py create mode 100644 examples/lead-agent/deployment_guide.md create mode 100644 examples/lead-agent/frontend/index.html create mode 100644 examples/lead-agent/frontend/package-lock.json create mode 100644 examples/lead-agent/frontend/package.json create mode 100644 examples/lead-agent/frontend/postcss.config.js create mode 100644 examples/lead-agent/frontend/src/App.tsx create mode 100644 examples/lead-agent/frontend/src/index.css create mode 100644 examples/lead-agent/frontend/src/main.tsx create mode 100644 examples/lead-agent/frontend/tailwind.config.js create mode 100644 examples/lead-agent/frontend/tsconfig.json create mode 100644 examples/lead-agent/frontend/tsconfig.node.json create mode 100644 examples/lead-agent/frontend/vite.config.ts rename examples/{ => lead-agent}/lead-score-flow/.gitignore (100%) rename examples/{ => lead-agent}/lead-score-flow/Automating_Tasks_with_CrewAI.md (100%) rename examples/{ => lead-agent}/lead-score-flow/README.md (100%) rename examples/{lead-score-flow/runagent_entrypoints.py => lead-agent/lead-score-flow/main.py} (82%) rename examples/{ => lead-agent}/lead-score-flow/pyproject.toml (100%) rename examples/{ => lead-agent}/lead-score-flow/requirements.txt (100%) rename examples/{ => lead-agent}/lead-score-flow/runagent.config.json (89%) rename examples/{ => lead-agent}/lead-score-flow/runagent_sdk/python/test_sdk.py (73%) create mode 100644 examples/lead-agent/lead-score-flow/runagent_sdk/rust/Cargo.toml create mode 100644 examples/lead-agent/lead-score-flow/runagent_sdk/rust/src/main.rs rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/__init__.py (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/constants.py (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/agents.yaml (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/config/tasks.yaml (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/crews/lead_response_crew/lead_response_crew.py (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/agents.yaml (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/config/tasks.yaml (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/crews/lead_score_crew/lead_score_crew.py (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/types.py (100%) rename examples/{ => lead-agent}/lead-score-flow/src/lead_score_flow/utils/candidateUtils.py (100%) delete mode 100644 examples/lead-score-flow/src/lead_score_flow/leads.csv delete mode 100644 examples/lead-score-flow/src/lead_score_flow/main.py diff --git a/examples/lead-agent/backend/app.py b/examples/lead-agent/backend/app.py new file mode 100644 index 0000000..300f191 --- /dev/null +++ b/examples/lead-agent/backend/app.py @@ -0,0 +1,147 @@ +from flask import Flask, request, jsonify +from flask_cors import CORS +from runagent import RunAgentClient +import os +from typing import List, Dict, Any +import traceback + +app = Flask(__name__) +CORS(app, resources={ + r"/api/*": { + "origins": [ + "http://localhost:5173", + "http://127.0.0.1:5173", + "http://10.1.0.5:5173", + "http://20.84.81.110:5173" + ] + } +}) + +@app.route('/api/score-leads', methods=['POST']) +def score_leads(): + """ + API endpoint to score leads using RunAgent + + Expected JSON body: + { + "agent_id": "your-agent-id", + "candidates": [...], + "job_description": "...", + "top_n": 3, + "generate_emails": true + } + """ + try: + data = request.json + + # Validate required fields + if not data.get('agent_id'): + return jsonify({'error': 'agent_id is required'}), 400 + + if not data.get('candidates'): + return jsonify({'error': 'candidates list is required'}), 400 + + agent_id = data['agent_id'] + candidates = data.get('candidates', []) + top_n = data.get('top_n', 3) + job_description = data.get('job_description', '') + generate_emails = data.get('generate_emails', True) + additional_instructions = data.get('additional_instructions', '') + + # Initialize RunAgent client + client = RunAgentClient( + agent_id=agent_id, + entrypoint_tag="lead_score_flow", + local=True # Set to False when using RunAgent Cloud + ) + + # Run the lead scoring flow + result = client.run( + top_n=top_n, + job_description=job_description, + additional_instructions=additional_instructions, + generate_emails=generate_emails, + candidates=candidates + ) + + return jsonify(result), 200 + + except Exception as e: + error_trace = traceback.format_exc() + print(f"Error in score_leads: {error_trace}") + return jsonify({ + 'error': str(e), + 'traceback': error_trace + }), 500 + + +@app.route('/api/score-single', methods=['POST']) +def score_single_candidate(): + """ + API endpoint to score a single candidate + + Expected JSON body: + { + "agent_id": "your-agent-id", + "candidate_id": "1", + "name": "John Doe", + "email": "john@example.com", + "bio": "...", + "skills": "React, Node.js", + "job_description": "...", + "additional_instructions": "" + } + """ + try: + data = request.json + + # Validate required fields + required_fields = ['agent_id', 'name', 'bio'] + for field in required_fields: + if not data.get(field): + return jsonify({'error': f'{field} is required'}), 400 + + agent_id = data['agent_id'] + + # Initialize RunAgent client + client = RunAgentClient( + agent_id=agent_id, + entrypoint_tag="score_candidate", + local=True + ) + + # Score single candidate + result = client.run( + candidate_id=data.get('candidate_id', 'temp-id'), + name=data['name'], + email=data.get('email', ''), + bio=data['bio'], + skills=data.get('skills', ''), + job_description=data.get('job_description', ''), + additional_instructions=data.get('additional_instructions', '') + ) + + return jsonify(result), 200 + + except Exception as e: + error_trace = traceback.format_exc() + print(f"Error in score_single_candidate: {error_trace}") + return jsonify({ + 'error': str(e), + 'traceback': error_trace + }), 500 + + +@app.route('/api/health', methods=['GET']) +def health_check(): + """Health check endpoint""" + return jsonify({ + 'status': 'healthy', + 'service': 'lead-score-api', + 'version': '1.0.0' + }), 200 + + +if __name__ == '__main__': + port = int(os.getenv('PORT', 8000)) + app.run(host='0.0.0.0', port=port, debug=True) \ No newline at end of file diff --git a/examples/lead-agent/deployment_guide.md b/examples/lead-agent/deployment_guide.md new file mode 100644 index 0000000..a0dc6ef --- /dev/null +++ b/examples/lead-agent/deployment_guide.md @@ -0,0 +1,378 @@ +# Lead Score SaaS - Complete Deployment Guide + +## 🚀 Quick Start + +This is a complete SaaS solution for AI-powered lead scoring using RunAgent and CrewAI. Users can upload their candidates' CSV, provide a job description, and get AI-scored results with automated email generation. + +## 📋 Prerequisites + +- Python 3.10 or higher +- Node.js 18 or higher +- npm or yarn +- OpenAI API key +- Serper API key (for web search) + +## 🏗️ Architecture + +``` +┌─────────────────┐ +│ React Frontend │ +│ (Port 5173) │ +└────────┬────────┘ + │ HTTP REST API + ↓ +┌─────────────────┐ +│ Flask Backend │ +│ (Port 8000) │ +└────────┬────────┘ + │ RunAgent Python SDK + ↓ +┌─────────────────┐ +│ RunAgent Agent │ +│ (CrewAI Flow) │ +└─────────────────┘ +``` + +## 📦 Part 1: Deploy RunAgent Agent + +### Step 1: Setup Environment + +```bash +cd examples/lead-score-flow + +# Create .env file +cat > .env << EOF +OPENAI_API_KEY=your_openai_key_here +SERPER_API_KEY=your_serper_key_here +EOF +``` + +### Step 2: Install Dependencies + +```bash +# Install RunAgent +pip install runagent + +# Install project dependencies +crewai install +``` + +### Step 3: Deploy Locally + +```bash +# Start the RunAgent server +runagent serve . + +# You'll see output like: +# ✓ Agent deployed successfully! +# Agent ID: dbf63fb6-a11c-40a9-aae0-84e57b16ad01 +# Entrypoints: +# - lead_score_flow +# - score_candidate +``` + +**🔑 IMPORTANT: Copy the Agent ID - you'll need it for the frontend!** + +### Step 4: Test the Agent (Optional) + +```bash +# Test in a new terminal +python test_agent.py +``` + +```python +# test_agent.py +from runagent import RunAgentClient + +client = RunAgentClient( + agent_id="YOUR_AGENT_ID_HERE", + entrypoint_tag="lead_score_flow", + local=True +) + +result = client.run(top_n=3, generate_emails=True) +print(result) +``` + +## 🔧 Part 2: Deploy Backend API + +### Step 1: Setup Backend + +```bash +cd ../../backend # Go to backend folder + +# Create virtual environment +python -m venv venv +source venv/bin/activate # On Windows: venv\Scripts\activate + +# Install dependencies +pip install -r requirements.txt +``` + +### Step 2: Start Backend Server + +```bash +python app.py + +# Server will start on http://localhost:8000 +``` + +### Step 3: Test Backend (Optional) + +```bash +curl http://localhost:8000/api/health +``` + +## 🎨 Part 3: Deploy Frontend + +### Step 1: Setup Frontend + +```bash +cd ../frontend # Go to frontend folder + +# Install dependencies +npm install + +# Or with yarn +yarn install +``` + +### Step 2: Start Development Server + +```bash +npm run dev + +# Or with yarn +yarn dev + +# Frontend will start on http://localhost:5173 +``` + +### Step 3: Build for Production + +```bash +npm run build + +# Serve the built files +npm run preview +``` + +## 🎯 Usage Guide + +### For End Users + +1. **Open the Application** + - Navigate to `http://localhost:5173` + +2. **Configure Settings** + - Enter your RunAgent Agent ID (from Step 3 of Part 1) + - Paste the job description + - Set the number of top candidates (default: 3) + +3. **Upload Candidates** + - Prepare a CSV file with columns: `id,name,email,bio,skills` + - Drag and drop or click to upload + +4. **View Results** + - See scored candidates ranked by AI + - Download all scores as CSV + - Download personalized emails for all candidates + +### Sample CSV Format + +```csv +id,name,email,bio,skills +1,John Doe,john@example.com,"Experienced React developer with 5 years","React, Node.js, TypeScript" +2,Jane Smith,jane@example.com,"Full-stack developer specializing in AI","Python, React, TensorFlow" +``` + +## 🌐 Deployment to Production + +### Option 1: Deploy with RunAgent Cloud + +```bash +# Deploy agent to RunAgent Cloud +runagent deploy . + +# This will give you a cloud agent ID +# Update the backend to use this ID +``` + +### Option 2: Deploy with Docker + +**Create docker-compose.yml:** + +```yaml +version: '3.8' + +services: + backend: + build: ./backend + ports: + - "8000:8000" + environment: + - AGENT_ID=${AGENT_ID} + depends_on: + - agent + + frontend: + build: ./frontend + ports: + - "80:80" + depends_on: + - backend + + agent: + build: ./examples/lead-score-flow + environment: + - OPENAI_API_KEY=${OPENAI_API_KEY} + - SERPER_API_KEY=${SERPER_API_KEY} +``` + +**Deploy:** + +```bash +docker-compose up -d +``` + +### Option 3: Deploy to Cloud Platforms + +#### Backend (Flask API) +- **Heroku**: `git push heroku main` +- **Railway**: Connect GitHub repo +- **AWS EB**: `eb deploy` +- **Google Cloud Run**: `gcloud run deploy` + +#### Frontend (React) +- **Vercel**: `vercel --prod` +- **Netlify**: `netlify deploy --prod` +- **AWS S3 + CloudFront**: Build and upload to S3 +- **GitHub Pages**: `npm run build` and push to gh-pages + +## 🔒 Security Best Practices + +1. **API Keys** + - Never commit `.env` files + - Use environment variables + - Rotate keys regularly + +2. **CORS** + - Configure proper CORS origins in production + - Don't use `*` for allowed origins + +3. **Rate Limiting** + - Implement rate limiting on API endpoints + - Use tools like `flask-limiter` + +4. **Authentication** + - Add user authentication (JWT, OAuth) + - Implement API key authentication for backend + +## 🐛 Troubleshooting + +### Agent Not Found Error +```bash +# Ensure agent is running +runagent serve . + +# Check agent status +runagent list +``` + +### Connection Refused Error +```bash +# Check if backend is running +curl http://localhost:8000/api/health + +# Check if all services are running +ps aux | grep -E '(runagent|flask|node)' +``` + +### CSV Upload Error +- Ensure CSV has required columns: id, name, email, bio, skills +- Check CSV encoding (should be UTF-8) +- Verify no special characters in CSV + +## 📊 Monitoring and Logs + +### View Agent Logs +```bash +# In the terminal where runagent serve is running +# Logs will show agent activity +``` + +### View Backend Logs +```bash +# Backend logs show in terminal +# For production, use logging services like: +# - Datadog +# - New Relic +# - CloudWatch +``` + +## 🎓 Customization + +### Adding More Features + +1. **Custom Scoring Criteria** + - Edit `src/lead_score_flow/constants.py` + - Modify agent prompts in `config/tasks.yaml` + +2. **Different Email Templates** + - Update `lead_response_crew` configuration + - Modify email generation logic + +3. **Additional Data Points** + - Add columns to CSV + - Update Candidate model in `types.py` + - Update frontend to handle new fields + +### Scaling for High Volume + +1. **Use Background Jobs** + ```python + # Use Celery or RQ for async processing + from celery import Celery + + @celery.task + def score_leads_async(data): + # Process in background + ``` + +2. **Cache Results** + ```python + # Use Redis for caching + from flask_caching import Cache + cache = Cache(app, config={'CACHE_TYPE': 'redis'}) + ``` + +## 💡 Tips for Best Results + +1. **Job Descriptions** + - Be specific and detailed + - Include must-have vs nice-to-have skills + - Mention company culture and values + +2. **Candidate Bios** + - Encourage detailed bios + - Include years of experience + - Mention specific projects or achievements + +3. **Scoring** + - Use `additional_instructions` for specific criteria + - Adjust `top_n` based on your hiring needs + - Review and refine based on results + +## 📞 Support + +- **Documentation**: https://docs.run-agent.ai +- **Discord**: https://discord.gg/Q9P9AdHVHz +- **GitHub Issues**: https://github.com/runagent-dev/runagent + +## 📄 License + +This project is licensed under the MIT License. + +--- + +**Made with ❤️ using RunAgent, CrewAI, React, and Flask** \ No newline at end of file diff --git a/examples/lead-agent/frontend/index.html b/examples/lead-agent/frontend/index.html new file mode 100644 index 0000000..ba0aaf1 --- /dev/null +++ b/examples/lead-agent/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + AI Lead Scoring System + + +
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--report-unused-disable-directives --max-warnings 0" + }, + "dependencies": { + "react": "^18.2.0", + "react-dom": "^18.2.0", + "axios": "^1.6.0", + "react-dropzone": "^14.2.3", + "lucide-react": "^0.263.1", + "tailwindcss": "^3.3.0", + "papaparse": "^5.4.1" + }, + "devDependencies": { + "@types/react": "^18.2.43", + "@types/react-dom": "^18.2.17", + "@types/papaparse": "^5.3.14", + "@vitejs/plugin-react": "^4.2.1", + "typescript": "^5.2.2", + "vite": "^5.0.8", + "autoprefixer": "^10.4.16", + "postcss": "^8.4.32" + } +} \ No newline at end of file diff --git a/examples/lead-agent/frontend/postcss.config.js b/examples/lead-agent/frontend/postcss.config.js new file mode 100644 index 0000000..70d778e --- /dev/null +++ b/examples/lead-agent/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, + } \ No newline at end of file diff --git a/examples/lead-agent/frontend/src/App.tsx b/examples/lead-agent/frontend/src/App.tsx new file mode 100644 index 0000000..3fc6471 --- /dev/null +++ b/examples/lead-agent/frontend/src/App.tsx @@ -0,0 +1,713 @@ +import React, { useState } from 'react'; +import { Upload, FileText, Mail, CheckCircle, AlertCircle, Loader2, ArrowRight, ArrowLeft } from 'lucide-react'; +import Papa from 'papaparse'; + +interface Candidate { + id: string; + name: string; + email: string; + bio: string; + skills: string; +} + +interface ScoredCandidate extends Candidate { + score: number; + reason: string; +} + +interface EmailGenerated { + candidate_id: string; + candidate_name: string; + candidate_email: string; + proceed_with_candidate: boolean; + email_content: string; +} + +interface FlowResult { + success: boolean; + total_candidates: number; + top_candidates: ScoredCandidate[]; + all_candidates: ScoredCandidate[]; + emails_generated?: EmailGenerated[]; + error?: string; +} + +interface CSVMapping { + id: string; + name: string; + email: string; + bio: string; + skills: string; +} + +function App() { + const [step, setStep] = useState<'config' | 'upload' | 'mapping' | 'processing' | 'results'>('config'); + const [agentId, setAgentId] = useState(''); + const [jobDescription, setJobDescription] = useState(''); + const [topN, setTopN] = useState(3); + const [candidates, setCandidates] = useState([]); + const [results, setResults] = useState(null); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(null); + + // CSV mapping state + const [csvHeaders, setCsvHeaders] = useState([]); + const [csvData, setCsvData] = useState([]); + const [columnMapping, setColumnMapping] = useState({ + id: '', + name: '', + email: '', + bio: '', + skills: '' + }); + + // Smart column detection + const detectColumn = (header: string, targetField: string): boolean => { + const headerLower = header.toLowerCase(); + const patterns: Record = { + id: ['id', 'candidate_id', 'applicant_id', 'number', '#'], + name: ['name', 'full_name', 'fullname', 'candidate_name', 'applicant_name', 'first_name'], + email: ['email', 'e-mail', 'mail', 'email_address', 'contact'], + bio: ['bio', 'biography', 'description', 'about', 'summary', 'profile', 'experience', 'background'], + skills: ['skills', 'skill', 'expertise', 'technologies', 'tech_stack', 'competencies'] + }; + + return patterns[targetField]?.some(pattern => headerLower.includes(pattern)) || false; + }; + + const autoMapColumns = (headers: string[]) => { + const mapping: CSVMapping = { + id: '', + name: '', + email: '', + bio: '', + skills: '' + }; + + headers.forEach(header => { + Object.keys(mapping).forEach(field => { + if (!mapping[field as keyof CSVMapping] && detectColumn(header, field)) { + mapping[field as keyof CSVMapping] = header; + } + }); + }); + + // If no ID column found, we'll generate IDs + if (!mapping.id && headers.length > 0) { + mapping.id = '_auto_generate_'; + } + + setColumnMapping(mapping); + }; + + const handleFileUpload = (file: File) => { + setError(null); + Papa.parse(file, { + header: true, + skipEmptyLines: true, + complete: (results) => { + if (results.data.length === 0) { + setError('CSV file is empty'); + return; + } + + const headers = Object.keys(results.data[0] as object); + setCsvHeaders(headers); + setCsvData(results.data); + + // Auto-detect columns + autoMapColumns(headers); + + setStep('mapping'); + }, + error: (error) => { + setError(`Error parsing CSV: ${error.message}`); + } + }); + }; + + const mapAndProcessCandidates = () => { + // Validate required mappings + if (!columnMapping.name) { + setError('Please map the "Name" column'); + return; + } + + const mappedCandidates: Candidate[] = csvData.map((row, index) => { + return { + id: columnMapping.id === '_auto_generate_' + ? `candidate_${index + 1}` + : (row[columnMapping.id] || `candidate_${index + 1}`), + name: row[columnMapping.name] || 'Unknown', + email: columnMapping.email ? (row[columnMapping.email] || '') : '', + bio: columnMapping.bio ? (row[columnMapping.bio] || '') : '', + skills: columnMapping.skills ? (row[columnMapping.skills] || '') : '' + }; + }).filter(candidate => candidate.name && candidate.name !== 'Unknown'); + + if (mappedCandidates.length === 0) { + setError('No valid candidates found after mapping'); + return; + } + + setCandidates(mappedCandidates); + setStep('processing'); + runLeadScoring(mappedCandidates); + }; + + const runLeadScoring = async (candidateList: Candidate[]) => { + setLoading(true); + setError(null); + + try { + const response = await fetch('http://localhost:8000/api/score-leads', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + agent_id: agentId, + candidates: candidateList, + job_description: jobDescription, + top_n: topN, + generate_emails: true + }), + }); + + if (!response.ok) { + throw new Error('Failed to score leads'); + } + + const result: FlowResult = await response.json(); + setResults(result); + setStep('results'); + } catch (err) { + setError(err instanceof Error ? err.message : 'An error occurred'); + setStep('mapping'); // Go back to mapping on error + } finally { + setLoading(false); + } + }; + + const downloadEmails = () => { + if (!results?.emails_generated) return; + + results.emails_generated.forEach((email) => { + const blob = new Blob([email.email_content], { type: 'text/plain' }); + const url = URL.createObjectURL(blob); + const a = document.createElement('a'); + a.href = url; + a.download = `${email.candidate_name.replace(/\s+/g, '_')}_email.txt`; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); + }); + }; + + const downloadCSV = () => { + if (!results?.all_candidates) return; + + const csv = Papa.unparse(results.all_candidates.map(c => ({ + id: c.id, + name: c.name, + email: c.email, + score: c.score, + reason: c.reason + }))); + + const blob = new Blob([csv], { type: 'text/csv' }); + const url = URL.createObjectURL(blob); + const a = document.createElement('a'); + a.href = url; + a.download = 'lead_scores.csv'; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); + }; + + const getMappingStatus = () => { + const required = ['name']; + const optional = ['email', 'bio', 'skills']; + const requiredMapped = required.every(field => columnMapping[field as keyof CSVMapping]); + const optionalMapped = optional.filter(field => columnMapping[field as keyof CSVMapping]).length; + + return { requiredMapped, optionalMapped, totalOptional: optional.length }; + }; + + return ( +
+
+
+

+ AI Lead Scoring System +

+

Powered by RunAgent & CrewAI

+
+ + {/* Configuration Step */} + {step === 'config' && ( +
+

+ + Configuration +

+ +
+
+ + setAgentId(e.target.value)} + placeholder="Enter your deployed agent ID" + className="w-full px-4 py-2 border border-gray-300 rounded-md focus:ring-2 focus:ring-blue-500 focus:border-transparent" + /> +

+ Get this from running: runagent serve . +

+
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + +
+ +
+ + + + + + +
+

Powered by RunAgent & Agno AI

+
+
+ + + + \ No newline at end of file diff --git a/examples/recipe_creator/frontend/package-lock.json b/examples/recipe_creator/frontend/package-lock.json new file mode 100644 index 0000000..f5f7e9a --- /dev/null +++ b/examples/recipe_creator/frontend/package-lock.json @@ -0,0 +1,2398 @@ +{ + "name": "chefgenius-frontend", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "chefgenius-frontend", + "version": "1.0.0", + "devDependencies": { + "live-server": "^1.2.2" + } + }, + "node_modules/accepts": { + "version": "1.3.8", + "resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz", + "integrity": "sha512-PYAthTa2m2VKxuvSD3DPC/Gy+U+sOA1LAuT8mkmRuvw+NACSaeXEQ+NHcVF7rONl6qcaxV3Uuemwawk+7+SJLw==", + "dev": true, + "license": "MIT", + "dependencies": { + "mime-types": "~2.1.34", + "negotiator": "0.6.3" + }, + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/accepts/node_modules/mime-db": { + "version": "1.52.0", + 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padding: 0; + box-sizing: border-box; +} + +body { + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif; + background: linear-gradient(135deg, #667eea 0%, #764ba2 50%, #f093fb 100%); + background-attachment: fixed; + min-height: 100vh; + padding: 20px; + position: relative; + overflow-x: hidden; +} + +body::before { + content: ''; + position: fixed; + top: -50%; + left: -50%; + width: 200%; + height: 200%; + background: radial-gradient(circle at 30% 20%, rgba(255,255,255,0.1) 0%, transparent 50%), + radial-gradient(circle at 70% 80%, rgba(255,255,255,0.1) 0%, transparent 50%); + animation: float 20s ease-in-out infinite; + pointer-events: none; + z-index: 0; +} + +.container { + max-width: 900px; + margin: 0 auto; + position: relative; + z-index: 1; +} + +/* Header */ +header { + text-align: center; + color: white; + margin-bottom: 40px; + animation: fadeInDown 0.8s ease; +} + +header h1 { + font-size: 3.5em; + margin-bottom: 10px; + text-shadow: 2px 2px 20px rgba(0,0,0,0.3); + background: linear-gradient(135deg, #fff 0%, #f0f0f0 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + font-weight: 700; + letter-spacing: -1px; +} + +.tagline { + font-size: 1.2em; + opacity: 0.95; + text-shadow: 1px 1px 10px rgba(0,0,0,0.2); + font-weight: 300; +} + +/* Main Content */ +main { + background: rgba(255, 255, 255, 0.98); + backdrop-filter: blur(10px); + border-radius: 24px; + padding: 50px; + box-shadow: 0 25px 80px rgba(0,0,0,0.25), + 0 0 0 1px rgba(255,255,255,0.5); + animation: fadeInUp 0.8s ease; + border: 1px solid rgba(255, 255, 255, 0.2); +} + +/* Examples Section */ +.examples-section { + margin-bottom: 40px; +} + +.examples-section h2 { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + margin-bottom: 24px; + font-size: 1.6em; + font-weight: 700; +} + +.examples-grid { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); + gap: 15px; + margin-bottom: 30px; +} + +.example-card { + background: linear-gradient(135deg, #f8f9fa 0%, #ffffff 100%); + border: 2px solid #e9ecef; + border-radius: 16px; + padding: 20px; + cursor: pointer; + transition: all 0.4s cubic-bezier(0.4, 0, 0.2, 1); + position: relative; + overflow: hidden; +} + +.example-card::before { + content: ''; + position: absolute; + top: 0; + left: -100%; + width: 100%; + height: 100%; + background: linear-gradient(90deg, transparent, rgba(255,255,255,0.4), transparent); + transition: left 0.5s ease; +} + +.example-card:hover::before { + left: 100%; +} + +.example-card:hover { + border-color: #667eea; + background: #fff; + transform: translateY(-4px); + box-shadow: 0 6px 20px rgba(102, 126, 234, 0.25); +} + +.example-card h3 { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + font-size: 1.05em; + margin-bottom: 10px; + font-weight: 600; + position: relative; + z-index: 1; +} + +.example-card p { + font-size: 0.9em; + color: #666; + margin: 6px 0; + position: relative; + z-index: 1; +} + +/* Form Section */ +.form-section h2 { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + margin-bottom: 30px; + font-size: 1.6em; + font-weight: 700; +} + +.form-group { + margin-bottom: 20px; +} + +.form-group label { + display: block; + font-weight: 600; + color: #555; + margin-bottom: 8px; + font-size: 1em; +} + +.form-group input, +.form-group textarea { + width: 100%; + padding: 14px 16px; + border: 2px solid #e9ecef; + border-radius: 12px; + font-size: 1em; + transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1); + font-family: inherit; + background: white; +} + +.form-group input:focus, +.form-group textarea:focus { + outline: none; + border-color: #667eea; + box-shadow: 0 0 0 4px rgba(102, 126, 234, 0.1), + inset 0 0 0 1px #667eea; + transform: translateY(-1px); +} + +.form-group textarea { + resize: vertical; +} + +/* Buttons */ +.form-actions { + display: flex; + gap: 15px; + margin-top: 30px; +} + +.btn { + flex: 1; + padding: 15px 30px; + border: none; + border-radius: 8px; + font-size: 1em; + font-weight: 600; + cursor: pointer; + transition: all 0.3s ease; +} + +.btn-primary { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + color: white; + position: relative; + overflow: hidden; +} + +.btn-primary::before { + content: ''; + position: absolute; + top: 50%; + left: 50%; + width: 0; + height: 0; + border-radius: 50%; + background: rgba(255, 255, 255, 0.2); + transform: translate(-50%, -50%); + transition: width 0.6s, height 0.6s; +} + +.btn-primary:hover::before { + width: 300px; + height: 300px; +} + +.btn-primary:hover { + transform: translateY(-3px); + box-shadow: 0 8px 25px rgba(102, 126, 234, 0.5); +} + +.btn-secondary { + background: linear-gradient(135deg, #6c757d 0%, #5a6268 100%); + color: white; +} + +.btn-secondary:hover { + background: linear-gradient(135deg, #5a6268 0%, #495057 100%); + transform: translateY(-3px); + box-shadow: 0 8px 25px rgba(108, 117, 125, 0.4); +} + +.btn-clear { + background: #dc3545; + color: white; + padding: 8px 16px; + font-size: 0.9em; +} + +.btn-clear:hover { + background: #c82333; +} + +.btn:disabled { + opacity: 0.6; + cursor: not-allowed; + transform: none !important; +} + +/* Results Section */ +.results-section { + margin-top: 40px; + padding-top: 40px; + border-top: 2px solid #e9ecef; +} + +.results-header { + display: flex; + justify-content: space-between; + align-items: center; + margin-bottom: 20px; +} + +.results-header h2 { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + font-size: 1.6em; + font-weight: 700; +} + +.recipe-content { + background: linear-gradient(135deg, #f8f9fa 0%, #ffffff 100%); + border: 1px solid #e9ecef; + border-radius: 16px; + padding: 30px; + line-height: 1.9; + color: #333; + animation: fadeIn 0.5s ease; + box-shadow: inset 0 2px 8px rgba(0,0,0,0.05); +} + +.recipe-content h3 { + background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + margin-top: 24px; + margin-bottom: 12px; + font-weight: 700; +} + +.recipe-content h3:first-child { + margin-top: 0; +} + +.recipe-content ul, +.recipe-content ol { + margin-left: 25px; + margin-bottom: 15px; +} + +.recipe-content li { + margin-bottom: 8px; +} + +.recipe-content p { + margin-bottom: 15px; +} + +.recipe-content strong { + color: #555; +} + +/* Loading Indicator */ +.loading { + text-align: center; + padding: 40px; +} + +.spinner { + width: 60px; + height: 60px; + margin: 0 auto 20px; + border: 5px solid rgba(102, 126, 234, 0.1); + border-top: 5px solid #667eea; + border-right: 5px solid #764ba2; + border-radius: 50%; + animation: spin 1s linear infinite; +} + +@keyframes spin { + 0% { transform: rotate(0deg); } + 100% { transform: rotate(360deg); } +} + +.loading p { + color: #666; + font-size: 1.1em; +} + +/* Footer */ +footer { + text-align: center; + color: white; + margin-top: 30px; + padding: 20px; + opacity: 0.8; +} + +/* Animations */ +@keyframes fadeInDown { + from { + opacity: 0; + transform: translateY(-30px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + transform: translateY(30px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + to { + opacity: 1; + } +} + +@keyframes float { + 0%, 100% { + transform: translateY(0) translateX(0); + } + 33% { + transform: translateY(-20px) translateX(10px); + } + 66% { + transform: translateY(20px) translateX(-10px); + } +} + +/* Responsive Design */ +@media (max-width: 768px) { + body { + padding: 10px; + } + + main { + padding: 25px; + } + + header h1 { + font-size: 2em; + } + + .form-actions { + flex-direction: column; + } + + .examples-grid { + grid-template-columns: 1fr; + } +} \ No newline at end of file diff --git a/examples/recipe_creator/sdk/python/test.py b/examples/recipe_creator/sdk/python/test.py new file mode 100644 index 0000000..d15cf0f --- /dev/null +++ b/examples/recipe_creator/sdk/python/test.py @@ -0,0 +1,156 @@ +""" +Simple test script for ChefGenius Recipe Agent using RunAgent Python SDK + +Usage: + python test_agent.py +""" + +from runagent import RunAgentClient +from dotenv import load_dotenv +import os + + + + +print("🧪 Testing ChefGenius Recipe Agent") +print("=" * 50) + +# Test 1: Non-streaming recipe creation +def test_non_streaming(): + print("\n1️⃣ Test: Non-Streaming Recipe Creation") + print("-" * 50) + + client = RunAgentClient( + agent_id="0c95d974-249d-412f-b543-2cada015c945", + entrypoint_tag="recipe_create", + local=False + ) + + result = client.run( + ingredients="chicken breast, broccoli, rice, garlic", + dietary_restrictions="", + time_limit="30 minutes" + ) + + print("✅ Result:") + if result.get("success"): + print(result["recipe"]) + else: + print("❌ Error:", result) + + return result + + +# Test 2: Streaming recipe creation +def test_streaming(): + print("\n2️⃣ Test: Streaming Recipe Creation") + print("-" * 50) + + client = RunAgentClient( + agent_id="26aa9224-adc4-4c49-9cc5-d35be2a3f09b", + entrypoint_tag="recipe_stream", + local=False + ) + + print("✅ Streaming output:\n") + + for chunk in client.run( + ingredients="pasta, mushrooms, spinach, cream", + dietary_restrictions="vegetarian", + time_limit="25 minutes" + ): + print(chunk) + + print("\n\n✅ Stream complete!") + + +# Test 3: Quick test with minimal params +def test_quick(): + print("\n3️⃣ Test: Quick Recipe (minimal params)") + print("-" * 50) + + client = RunAgentClient( + agent_id=AGENT_ID, + entrypoint_tag="recipe_create", + local=LOCAL_MODE + ) + + result = client.run( + ingredients="eggs, cheese, tomatoes" + ) + + print("✅ Result:") + if result.get("success"): + print(result["recipe"][:500] + "...") # Show first 500 chars + else: + print("❌ Error:", result) + + +# Test 4: Vegan recipe +def test_vegan(): + print("\n4️⃣ Test: Vegan Recipe") + print("-" * 50) + + client = RunAgentClient( + agent_id=AGENT_ID, + entrypoint_tag="recipe_create", + local=LOCAL_MODE + ) + + result = client.run( + ingredients="quinoa, chickpeas, sweet potato, kale", + dietary_restrictions="vegan", + time_limit="40 minutes" + ) + + print("✅ Result:") + if result.get("success"): + print(result["recipe"][:500] + "...") + else: + print("❌ Error:", result) + + +# Main test runner +def run_all_tests(): + try: + # Validate agent ID + if AGENT_ID == "your-agent-id-here": + print("❌ ERROR: Please set AGENT_ID in .env file") + print(" Run 'runagent serve .' in the agent directory first") + return + + print(f"Agent ID: {AGENT_ID}") + print(f"Local Mode: {LOCAL_MODE}") + + # Run tests + test_non_streaming() + print("\n" + "=" * 50) + + test_streaming() + print("\n" + "=" * 50) + + test_quick() + print("\n" + "=" * 50) + + test_vegan() + print("\n" + "=" * 50) + + print("\n🎉 All tests completed!") + + except Exception as e: + print(f"\n❌ Test failed with error: {e}") + import traceback + traceback.print_exc() + + +if __name__ == "__main__": + # You can run individual tests or all tests + + # Run all tests + # run_all_tests() + + # Or run individual tests: + # test_non_streaming() + test_streaming() + # test_quick() + # test_vegan() \ No newline at end of file diff --git a/test_scripts/python/client_test_agno.py b/test_scripts/python/client_test_agno.py index 0658916..0c8b9d9 100644 --- a/test_scripts/python/client_test_agno.py +++ b/test_scripts/python/client_test_agno.py @@ -17,7 +17,7 @@ from runagent import RunAgentClient ra = RunAgentClient( - agent_id="af662135-5c00-4a89-b947-300e34787f03", + agent_id="c12d3486-cbf6-4d3a-b58b-e5a9c0dfe311", entrypoint_tag="agno_print_response_stream", local=False ) From f9881612b36f1195f0739aeb48f5caae67292795 Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Mon, 27 Oct 2025 23:43:30 +0000 Subject: [PATCH 16/22] adding new examples --- examples/book_writer/backend/app.py | 180 + .../book_writer/frontend/package-lock.json | 3361 +++++++++++++++++ examples/book_writer/frontend/package.json | 28 + .../book_writer/frontend/postcss.config.js | 0 .../book_writer/frontend/public/index.html | 0 examples/book_writer/frontend/src/App.tsx | 397 ++ examples/book_writer/frontend/src/index.css | 20 + examples/book_writer/frontend/src/main.tsx | 10 + .../book_writer/frontend/tailwind.config.js | 11 + examples/book_writer/frontend/tsconfig.json | 22 + examples/book_writer/frontend/vite.config.ts | 17 + examples/book_writer/sdk/python/test.py | 22 + .../write_a_book_with_flows/.gitignore | 3 + .../Automating_Tasks_with_CrewAI.md | 1946 ++++++++++ .../write_a_book_with_flows/README.md | 79 + .../The_Current_State_of_AI_in_July_2025.md | 891 +++++ .../write_a_book_with_flows/main.py | 313 ++ .../write_a_book_with_flows/pyproject.toml | 24 + .../write_a_book_with_flows/requirements.txt | 6 + .../runagent.config.json | 40 + .../src/write_a_book_with_flows/__init__.py | 0 .../write_a_book_with_flows/crews/__init__.py | 2 + .../crews/outline_book_crew/__init__.py | 2 + .../outline_book_crew/config/agents.yaml | 20 + .../crews/outline_book_crew/config/tasks.yaml | 22 + .../crews/outline_book_crew/outline_crew.py | 54 + .../crews/write_book_chapter_crew/__init__.py | 2 + .../config/agents.yaml | 20 + .../write_book_chapter_crew/config/tasks.yaml | 35 + .../write_book_chapter_crew.py | 50 + .../src/write_a_book_with_flows/main_back.py | 128 + .../src/write_a_book_with_flows/types.py | 17 + .../lead-score-flow/requirements.txt | 3 +- .../lead_response_crew/lead_response_crew.py | 2 +- .../crews/lead_score_crew/lead_score_crew.py | 2 +- .../runagent_sdk/python/test_sdk.py | 13 +- .../runagent_sdk/rust/Cargo.toml | 0 .../runagent_sdk/rust/src/main.rs | 0 runagent/client/client.py | 1 + runagent/constants.py | 1 + runagent/sdk/rest_client.py | 3 +- 41 files changed, 7739 insertions(+), 8 deletions(-) create mode 100644 examples/book_writer/backend/app.py create mode 100644 examples/book_writer/frontend/package-lock.json create mode 100644 examples/book_writer/frontend/package.json create mode 100644 examples/book_writer/frontend/postcss.config.js create mode 100644 examples/book_writer/frontend/public/index.html create mode 100644 examples/book_writer/frontend/src/App.tsx create mode 100644 examples/book_writer/frontend/src/index.css create mode 100644 examples/book_writer/frontend/src/main.tsx create mode 100644 examples/book_writer/frontend/tailwind.config.js create mode 100644 examples/book_writer/frontend/tsconfig.json create mode 100644 examples/book_writer/frontend/vite.config.ts create mode 100644 examples/book_writer/sdk/python/test.py create mode 100644 examples/book_writer/write_a_book_with_flows/.gitignore create mode 100644 examples/book_writer/write_a_book_with_flows/Automating_Tasks_with_CrewAI.md create mode 100644 examples/book_writer/write_a_book_with_flows/README.md create mode 100644 examples/book_writer/write_a_book_with_flows/The_Current_State_of_AI_in_July_2025.md create mode 100644 examples/book_writer/write_a_book_with_flows/main.py create mode 100644 examples/book_writer/write_a_book_with_flows/pyproject.toml create mode 100644 examples/book_writer/write_a_book_with_flows/requirements.txt create mode 100644 examples/book_writer/write_a_book_with_flows/runagent.config.json create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/__init__.py create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/__init__.py create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/outline_book_crew/__init__.py create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/outline_book_crew/config/agents.yaml create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/outline_book_crew/config/tasks.yaml create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/outline_book_crew/outline_crew.py create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/write_book_chapter_crew/__init__.py create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/write_book_chapter_crew/config/agents.yaml create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/write_book_chapter_crew/config/tasks.yaml create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/crews/write_book_chapter_crew/write_book_chapter_crew.py create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/main_back.py create mode 100644 examples/book_writer/write_a_book_with_flows/src/write_a_book_with_flows/types.py rename examples/lead-agent/{lead-score-flow => }/runagent_sdk/python/test_sdk.py (53%) rename examples/lead-agent/{lead-score-flow => }/runagent_sdk/rust/Cargo.toml (100%) rename examples/lead-agent/{lead-score-flow => }/runagent_sdk/rust/src/main.rs (100%) diff --git a/examples/book_writer/backend/app.py b/examples/book_writer/backend/app.py new file mode 100644 index 0000000..a44b72f --- /dev/null +++ b/examples/book_writer/backend/app.py @@ -0,0 +1,180 @@ +from flask import Flask, request, jsonify, send_file +from flask_cors import CORS +from runagent import RunAgentClient +import os +import traceback +from datetime import datetime +import io + +app = Flask(__name__) +CORS(app, resources={ + r"/api/*": { + "origins": [ + "http://localhost:5173", + "http://127.0.0.1:5173", + ] + } +}) + +@app.route('/api/generate-outline', methods=['POST']) +def generate_outline(): + """ + Generate book outline + + Expected JSON body: + { + "agent_id": "your-agent-id", + "title": "Book Title", + "topic": "Book topic", + "goal": "Book goal description" + } + """ + try: + data = request.json + + # Validate required fields + if not data.get('agent_id'): + return jsonify({'error': 'agent_id is required'}), 400 + + if not data.get('topic'): + return jsonify({'error': 'topic is required'}), 400 + + agent_id = data['agent_id'] + title = data.get('title', 'Untitled Book') + topic = data['topic'] + goal = data.get('goal', '') + + # Initialize RunAgent client for outline generation + client = RunAgentClient( + agent_id=agent_id, + entrypoint_tag="generate_outline", + local=True # Set to False when using RunAgent Cloud + ) + + # Generate the outline + result = client.run( + title=title, + topic=topic, + goal=goal + ) + + return jsonify(result), 200 + + except Exception as e: + error_trace = traceback.format_exc() + print(f"Error in generate_outline: {error_trace}") + return jsonify({ + 'error': str(e), + 'traceback': error_trace + }), 500 + + +@app.route('/api/write-book', methods=['POST']) +def write_book(): + """ + Write complete book with all chapters + + Expected JSON body: + { + "agent_id": "your-agent-id", + "title": "Book Title", + "topic": "Book topic", + "goal": "Book goal description", + "num_chapters": 5 + } + """ + try: + data = request.json + + # Validate required fields + if not data.get('agent_id'): + return jsonify({'error': 'agent_id is required'}), 400 + + if not data.get('topic'): + return jsonify({'error': 'topic is required'}), 400 + + agent_id = data['agent_id'] + title = data.get('title', 'Untitled Book') + topic = data['topic'] + goal = data.get('goal', '') + num_chapters = data.get('num_chapters', 5) + + # Initialize RunAgent client + client = RunAgentClient( + agent_id=agent_id, + entrypoint_tag="write_full_book", + local=True + ) + + # Write the complete book + result = client.run( + title=title, + topic=topic, + goal=goal, + num_chapters=num_chapters + ) + + return jsonify(result), 200 + + except Exception as e: + error_trace = traceback.format_exc() + print(f"Error in write_book: {error_trace}") + return jsonify({ + 'error': str(e), + 'traceback': error_trace + }), 500 + + +@app.route('/api/download-book', methods=['POST']) +def download_book(): + """ + Download book as markdown file + + Expected JSON body: + { + "title": "Book Title", + "content": "Book content in markdown" + } + """ + try: + data = request.json + + title = data.get('title', 'book') + content = data.get('content', '') + + # Create filename + filename = f"{title.replace(' ', '_')}.md" + + # Create file in memory + file_stream = io.BytesIO(content.encode('utf-8')) + file_stream.seek(0) + + return send_file( + file_stream, + mimetype='text/markdown', + as_attachment=True, + download_name=filename + ) + + except Exception as e: + error_trace = traceback.format_exc() + print(f"Error in download_book: {error_trace}") + return jsonify({ + 'error': str(e), + 'traceback': error_trace + }), 500 + + +@app.route('/api/health', methods=['GET']) +def health_check(): + """Health check endpoint""" + return jsonify({ + 'status': 'healthy', + 'service': 'book-writer-api', + 'version': '1.0.0' + }), 200 + + +if __name__ == '__main__': + port = int(os.getenv('PORT', 8000)) + app.run(host='0.0.0.0', port=port, debug=True) \ No newline at end of file diff --git a/examples/book_writer/frontend/package-lock.json b/examples/book_writer/frontend/package-lock.json new file mode 100644 index 0000000..85478e1 --- /dev/null +++ b/examples/book_writer/frontend/package-lock.json @@ -0,0 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/dev/null +++ b/examples/book_writer/frontend/package.json @@ -0,0 +1,28 @@ +{ + "name": "book-writer-saas", + "version": "1.0.0", + "type": "module", + "description": "AI Book Writer SaaS Frontend", + "private": true, + "scripts": { + "dev": "vite", + "build": "tsc && vite build", + "preview": "vite preview" + }, + "dependencies": { + "react": "^18.2.0", + "react-dom": "^18.2.0", + "axios": "^1.6.0", + "lucide-react": "^0.263.1" + }, + "devDependencies": { + "@types/react": "^18.2.43", + "@types/react-dom": "^18.2.17", + "@vitejs/plugin-react": "^4.2.1", + "typescript": "^5.2.2", + "vite": "^5.0.8", + "tailwindcss": "^3.3.0", + "autoprefixer": "^10.4.16", + "postcss": "^8.4.32" + } + } \ No newline at end of file diff --git a/examples/book_writer/frontend/postcss.config.js b/examples/book_writer/frontend/postcss.config.js new file mode 100644 index 0000000..e69de29 diff --git a/examples/book_writer/frontend/public/index.html b/examples/book_writer/frontend/public/index.html new file mode 100644 index 0000000..e69de29 diff --git a/examples/book_writer/frontend/src/App.tsx b/examples/book_writer/frontend/src/App.tsx new file mode 100644 index 0000000..2d6d4ad --- /dev/null +++ b/examples/book_writer/frontend/src/App.tsx @@ -0,0 +1,397 @@ +import React, { useState } from 'react'; +import { BookOpen, FileText, Download, Loader2, ArrowRight, ArrowLeft, Sparkles, Check } from 'lucide-react'; + +interface Chapter { + number: number; + title: string; + description?: string; + content?: string; + word_count?: number; +} + +interface BookResult { + success: boolean; + title: string; + topic: string; + goal: string; + book_content: string; + chapters: Chapter[]; + total_chapters: number; + total_words: number; + outline: Chapter[]; + error?: string; +} + +function App() { + const [step, setStep] = useState<'config' | 'processing' | 'results'>('config'); + const [agentId, setAgentId] = useState(''); + const [bookTitle, setBookTitle] = useState(''); + const [topic, setTopic] = useState(''); + const [goal, setGoal] = useState(''); + const [numChapters, setNumChapters] = useState(5); + const [result, setResult] = useState(null); + const [loading, setLoading] = useState(false); + const [error, setError] = useState(null); + const [progress, setProgress] = useState(''); + + const generateBook = async () => { + setLoading(true); + setError(null); + setStep('processing'); + setProgress('Initializing book generation...'); + + try { + setProgress('Generating book outline...'); + + const response = await fetch('http://localhost:8000/api/write-book', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + agent_id: agentId, + title: bookTitle, + topic: topic, + goal: goal, + num_chapters: numChapters + }), + }); + + if (!response.ok) { + throw new Error('Failed to generate book'); + } + + const data: BookResult = await response.json(); + + if (data.success) { + setResult(data); + setStep('results'); + } else { + throw new Error(data.error || 'Book generation failed'); + } + } catch (err) { + setError(err instanceof Error ? err.message : 'An error occurred'); + setStep('config'); + } finally { + setLoading(false); + } + }; + + const downloadBook = async () => { + if (!result) return; + + try { + const response = await fetch('http://localhost:8000/api/download-book', { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + }, + body: JSON.stringify({ + title: result.title, + content: result.book_content + }), + }); + + const blob = await response.blob(); + const url = window.URL.createObjectURL(blob); + const a = document.createElement('a'); + a.href = url; + a.download = `${result.title.replace(/\s+/g, '_')}.md`; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + window.URL.revokeObjectURL(url); + } catch (err) { + console.error('Download error:', err); + alert('Failed to download book'); + } + }; + + const resetForm = () => { + setStep('config'); + setResult(null); + setError(null); + setProgress(''); + }; + + return ( +
+
+ {/* Header */} +
+
+ +

+ AI Book Writer +

+
+

+ Generate complete books with AI-powered research and writing +

+
+ + Powered by CrewAI & RunAgent +
+
+ + {/* Configuration Step */} + {step === 'config' && ( +
+

+ + Book Configuration +

+ +
+ {/* Agent ID */} +
+ + setAgentId(e.target.value)} + placeholder="Enter your deployed agent ID" + className="w-full px-4 py-3 border border-gray-300 rounded-lg focus:ring-2 focus:ring-purple-500 focus:border-transparent transition" + /> +

+ Get this from: runagent serve . +

+
+ + {/* Book Title */} +
+ + setBookTitle(e.target.value)} + placeholder="e.g., The Future of AI in Healthcare" + className="w-full px-4 py-3 border border-gray-300 rounded-lg focus:ring-2 focus:ring-purple-500 focus:border-transparent transition" + /> +
+ + {/* Topic */} +
+ + setTopic(e.target.value)} + placeholder="e.g., AI applications in medical diagnosis and treatment" + className="w-full px-4 py-3 border border-gray-300 rounded-lg focus:ring-2 focus:ring-purple-500 focus:border-transparent transition" + /> +
+ + {/* Goal */} +
+ + + Tell us what you're interested in (food, culture, history, adventure, etc.) +
+ +
+ + +
+ +
+ + + + + + +
+

Powered by RunAgent & AG2 AI

+
+
+ + + + \ No newline at end of file diff --git a/examples/trip_planner/frontend/package-lock.json b/examples/trip_planner/frontend/package-lock.json new file mode 100644 index 0000000..fa26495 --- /dev/null +++ b/examples/trip_planner/frontend/package-lock.json @@ -0,0 +1,642 @@ +{ + "name": "tripgenius-frontend", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "tripgenius-frontend", + "version": "1.0.0", + "devDependencies": { + "http-server": "^14.1.1" + } + }, + "node_modules/ansi-styles": { + "version": "4.3.0", + "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz", + "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==", + "dev": true, + "license": "MIT", + "dependencies": { + "color-convert": "^2.0.1" + }, + "engines": { + "node": ">=8" + }, + "funding": { + "url": "https://github.com/chalk/ansi-styles?sponsor=1" + } + }, + "node_modules/async": { 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0000000..13df131 --- /dev/null +++ b/examples/trip_planner/frontend/package.json @@ -0,0 +1,11 @@ +{ + "name": "tripgenius-frontend", + "version": "1.0.0", + "description": "AI-Powered Trip Planner Frontend", + "scripts": { + "dev": "http-server -p 3001 -o" + }, + "devDependencies": { + "http-server": "^14.1.1" + } + } \ No newline at end of file diff --git a/examples/trip_planner/frontend/style.css b/examples/trip_planner/frontend/style.css new file mode 100644 index 0000000..e57f11f --- /dev/null +++ b/examples/trip_planner/frontend/style.css @@ -0,0 +1,495 @@ +* { + margin: 0; + padding: 0; + box-sizing: border-box; +} + +body { + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif; + background: linear-gradient(135deg, #4facfe 0%, #00f2fe 50%, #43e97b 100%); + background-attachment: fixed; + min-height: 100vh; + padding: 20px; + position: relative; + overflow-x: hidden; +} + +body::before { + content: ''; + position: fixed; + top: -50%; + left: -50%; + width: 200%; + height: 200%; + background: radial-gradient(circle at 30% 20%, rgba(255,255,255,0.15) 0%, transparent 50%), + radial-gradient(circle at 70% 80%, rgba(255,255,255,0.15) 0%, transparent 50%); + animation: float 20s ease-in-out infinite; + pointer-events: none; + z-index: 0; +} + +.container { + max-width: 1000px; + margin: 0 auto; + position: relative; + z-index: 1; +} + +/* Header */ +header { + text-align: center; + color: white; + margin-bottom: 40px; + animation: fadeInDown 0.8s ease; +} + +header h1 { + font-size: 3.5em; + margin-bottom: 10px; + text-shadow: 2px 2px 20px rgba(0,0,0,0.3); + background: linear-gradient(135deg, #fff 0%, #f0f0f0 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + font-weight: 700; + letter-spacing: -1px; +} + +.tagline { + font-size: 1.2em; + opacity: 0.95; + text-shadow: 1px 1px 10px rgba(0,0,0,0.2); + font-weight: 300; +} + +/* Main Content */ +main { + background: rgba(255, 255, 255, 0.98); + backdrop-filter: blur(10px); + border-radius: 24px; + padding: 50px; + box-shadow: 0 25px 80px rgba(0,0,0,0.25), + 0 0 0 1px rgba(255,255,255,0.5); + animation: fadeInUp 0.8s ease; + border: 1px solid rgba(255, 255, 255, 0.2); +} + +/* Examples Section */ +.examples-section { + margin-bottom: 40px; +} + +.examples-section h2 { + background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + margin-bottom: 24px; + font-size: 1.6em; + font-weight: 700; +} + +.examples-grid { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); + gap: 15px; + margin-bottom: 30px; +} + +.example-card { + background: linear-gradient(135deg, #f8f9fa 0%, #ffffff 100%); + border: 2px solid #e9ecef; + border-radius: 16px; + padding: 20px; + cursor: pointer; + transition: all 0.4s cubic-bezier(0.4, 0, 0.2, 1); + position: relative; + overflow: hidden; +} + +.example-card::before { + content: ''; + position: absolute; + top: 0; + left: -100%; + width: 100%; + height: 100%; + background: linear-gradient(90deg, transparent, rgba(255,255,255,0.4), transparent); + transition: left 0.5s ease; +} + +.example-card:hover::before { + left: 100%; +} + +.example-card:hover { + border-color: #4facfe; + background: #fff; + transform: translateY(-4px); + box-shadow: 0 6px 20px rgba(79, 172, 254, 0.25); +} + +.example-card h3 { + background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + font-size: 1.05em; + margin-bottom: 10px; + font-weight: 600; + position: relative; + z-index: 1; +} + +.example-card p { + font-size: 0.9em; + color: #666; + margin: 6px 0; + position: relative; + z-index: 1; +} + +.example-card .days { + font-weight: 600; + color: #4facfe; +} + +/* Form Section */ +.form-section h2 { + background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + margin-bottom: 30px; + font-size: 1.6em; + font-weight: 700; +} + +.form-group { + margin-bottom: 20px; +} + +.form-group label { + display: block; + font-weight: 600; + color: #555; + margin-bottom: 8px; + font-size: 1em; +} + +.form-group input, +.form-group textarea { + width: 100%; + padding: 14px 16px; + border: 2px solid #e9ecef; + border-radius: 12px; + font-size: 1em; + transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1); + font-family: inherit; + background: white; +} + +.form-group input:focus, +.form-group textarea:focus { + outline: none; + border-color: #4facfe; + box-shadow: 0 0 0 4px rgba(79, 172, 254, 0.1), + inset 0 0 0 1px #4facfe; + transform: translateY(-1px); +} + +.form-group textarea { + resize: vertical; +} + +.form-group small { + display: block; + color: #999; + font-size: 0.85em; + margin-top: 5px; +} + +/* Buttons */ +.form-actions { + display: flex; + gap: 15px; + margin-top: 30px; +} + +.btn { + flex: 1; + padding: 15px 30px; + border: none; + border-radius: 8px; + font-size: 1em; + font-weight: 600; + cursor: pointer; + transition: all 0.3s ease; +} + +.btn-primary { + background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%); + color: white; + position: relative; + overflow: hidden; +} + +.btn-primary::before { + content: ''; + position: absolute; + top: 50%; + left: 50%; + width: 0; + height: 0; + border-radius: 50%; + background: rgba(255, 255, 255, 0.2); + transform: translate(-50%, -50%); + transition: width 0.6s, height 0.6s; +} + +.btn-primary:hover::before { + width: 300px; + height: 300px; +} + +.btn-primary:hover { + transform: translateY(-3px); + box-shadow: 0 8px 25px rgba(79, 172, 254, 0.5); +} + +.btn-secondary { + background: linear-gradient(135deg, #6c757d 0%, #5a6268 100%); + color: white; +} + +.btn-secondary:hover { + background: linear-gradient(135deg, #5a6268 0%, #495057 100%); + transform: translateY(-3px); + box-shadow: 0 8px 25px rgba(108, 117, 125, 0.4); +} + +.btn-clear { + background: #dc3545; + color: white; + padding: 8px 16px; + font-size: 0.9em; +} + +.btn-clear:hover { + background: #c82333; +} + +.btn:disabled { + opacity: 0.6; + cursor: not-allowed; + transform: none !important; +} + +/* Results Section */ +.results-section { + margin-top: 40px; + padding-top: 40px; + border-top: 2px solid #e9ecef; +} + +.results-header { + display: flex; + justify-content: space-between; + align-items: center; + margin-bottom: 20px; +} + +.results-header h2 { + background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + font-size: 1.6em; + font-weight: 700; +} + +.itinerary-content { + background: linear-gradient(135deg, #f8f9fa 0%, #ffffff 100%); + border: 1px solid #e9ecef; + border-radius: 16px; + padding: 30px; + line-height: 1.9; + color: #333; + animation: fadeIn 0.5s ease; + box-shadow: inset 0 2px 8px rgba(0,0,0,0.05); +} + +.itinerary-content .day { + margin-bottom: 30px; + padding-bottom: 30px; + border-bottom: 2px solid #e9ecef; +} + +.itinerary-content .day:last-child { + border-bottom: none; + margin-bottom: 0; + padding-bottom: 0; +} + +.itinerary-content .day-header { + background: linear-gradient(135deg, #4facfe 0%, #00f2fe 100%); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; + font-size: 1.4em; + font-weight: 700; + margin-bottom: 20px; +} + +.events-grid { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); + gap: 16px; +} + +.itinerary-content .event { + margin-bottom: 0; + padding: 16px; + background: white; + border-radius: 12px; + border: 1px solid #e9ecef; + box-shadow: 0 4px 12px rgba(0,0,0,0.06); +} + +.event-header { + display: flex; + justify-content: space-between; + align-items: center; + margin-bottom: 8px; +} + +.itinerary-content .event-type { + font-weight: 700; + color: #4facfe; + letter-spacing: 0.2px; +} + +.itinerary-content .event-location { + font-size: 1.1em; + font-weight: 600; + color: #333; + margin-bottom: 8px; +} + +.itinerary-content .event-description { + color: #666; + line-height: 1.6; +} + +.maps-link { + font-size: 0.85em; + color: #0d6efd; + text-decoration: none; +} + +.maps-link:hover { + text-decoration: underline; +} + +/* Loading Indicator */ +.loading { + text-align: center; + padding: 40px; +} + +.spinner { + width: 60px; + height: 60px; + margin: 0 auto 20px; + border: 5px solid rgba(79, 172, 254, 0.1); + border-top: 5px solid #4facfe; + border-right: 5px solid #00f2fe; + border-radius: 50%; + animation: spin 1s linear infinite; +} + +@keyframes spin { + 0% { transform: rotate(0deg); } + 100% { transform: rotate(360deg); } +} + +.loading p { + color: #666; + font-size: 1.1em; +} + +/* Footer */ +footer { + text-align: center; + color: white; + margin-top: 30px; + padding: 20px; + opacity: 0.8; +} + +/* Animations */ +@keyframes fadeInDown { + from { + opacity: 0; + transform: translateY(-30px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +@keyframes fadeInUp { + from { + opacity: 0; + transform: translateY(30px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +@keyframes fadeIn { + from { + opacity: 0; + } + to { + opacity: 1; + } +} + +@keyframes float { + 0%, 100% { + transform: translateY(0) translateX(0); + } + 33% { + transform: translateY(-20px) translateX(10px); + } + 66% { + transform: translateY(20px) translateX(-10px); + } +} + +/* Responsive Design */ +@media (max-width: 768px) { + body { + padding: 10px; + } + + main { + padding: 25px; + } + + header h1 { + font-size: 2em; + } + + .form-actions { + flex-direction: column; + } + + .examples-grid { + grid-template-columns: 1fr; + } +} \ No newline at end of file diff --git a/examples/trip_planner/sdk/python/test.py b/examples/trip_planner/sdk/python/test.py new file mode 100644 index 0000000..ad26871 --- /dev/null +++ b/examples/trip_planner/sdk/python/test.py @@ -0,0 +1,58 @@ +""" +Minimal RunAgent SDK Test for TripGenius + +Update AGENT_ID and run! +""" + +from runagent import RunAgentClient + +# UPDATE THIS! +AGENT_ID = "be1eef6e-2700-4980-b808-e94b3394e747" + + +# ============================================ +# NON-STREAMING TEST +# ============================================ + +print("\n🧪 Test 1: Non-Streaming") +print("-" * 50) + +client = RunAgentClient( + agent_id=AGENT_ID, + entrypoint_tag="trip_create", + local=False +) + +result = client.run( + destination="Kanazawa", + num_days=2, + preferences="Cuisine, Landscape" +) + +print(f"\n✅ Result:") +print(result) + + +# ============================================ +# STREAMING TEST +# ============================================ + +# print("\n\n🧪 Test 2: Streaming") +# print("-" * 50) + +# stream_client = RunAgentClient( +# agent_id=AGENT_ID, +# entrypoint_tag="trip_stream", +# local=True +# ) + +# print("\n📡 Streaming response:\n") + +# for chunk in stream_client.run( +# destination="Paris", +# num_days=2, +# preferences="art museums, French cuisine" +# ): +# print(chunk, end="", flush=True) + +# print("\n\n✅ Done!") \ No newline at end of file diff --git a/runagent/client/client.py b/runagent/client/client.py index 30cafa9..561dc66 100644 --- a/runagent/client/client.py +++ b/runagent/client/client.py @@ -56,7 +56,7 @@ def run(self, *input_args, **input_kwargs): response = self.rest_client.run_agent( self.agent_id, self.entrypoint_tag, input_args=input_args, input_kwargs=input_kwargs ) - print(f"response#######################################: {response}") + # print(f"response#######################################: {response}") if response.get("success"): # Handle new response format with nested data if "data" in response and "result_data" in response["data"]: From 34b8f3e971c40fccb912709763dc3ea19796e4ed Mon Sep 17 00:00:00 2001 From: RadeenXALNW Date: Wed, 5 Nov 2025 16:11:29 +0000 Subject: [PATCH 19/22] rad/examples_v2 --- examples/ai_lead_generation/agents/README.md | 117 ++++ examples/ai_lead_generation/agents/main.py | 419 +++++++++++ .../agents/requirements.txt | 6 + .../agents/runagent.config.json | 27 + .../ai_lead_generation/sdk/python/test.py | 14 + .../agent/__init__.py | 15 + .../agent/config.py | 235 +++++++ .../agent/lightrag_agent.py | 564 +++++++++++++++ .../agent/storage.py | 356 ++++++++++ .../requirements.txt | 32 + .../runagent.config.json | 76 ++ .../sdk/python/test.py | 39 ++ .../services/__init__.py | 16 + .../services/document_processor.py | 314 +++++++++ .../services/neon_service.py | 193 +++++ .../services/rag_service.py | 468 +++++++++++++ .../utils/__init__.py | 3 + .../utils/helpers.py | 36 + examples/rag_agent/README.md | 166 +++++ examples/rag_agent/agent/agent.py | 318 +++++++++ examples/rag_agent/agent/requirements.txt | 11 + examples/rag_agent/agent/runagent.config.json | 32 + examples/rag_agent/backend/app.py | 276 ++++++++ examples/rag_agent/backend/requirements.txt | 16 + examples/rag_agent/frontend/app.js | 639 +++++++++++++++++ examples/rag_agent/frontend/index.html | 145 ++++ examples/rag_agent/frontend/package-lock.json | 642 +++++++++++++++++ examples/rag_agent/frontend/package.json | 12 + examples/rag_agent/frontend/style.css | 661 ++++++++++++++++++ examples/rag_agent/manage_documents.py | 249 +++++++ examples/rag_agent/nvidia_fin.pdf | Bin 0 -> 215707 bytes examples/rag_agent/sdk/python/test.py | 47 ++ examples/rag_agent/test_connection.py | 54 ++ examples/recipe_creator/sdk/python/test.py | 4 +- leads_20251102_115848.csv | 4 + leads_20251102_120327.csv | 4 + 36 files changed, 6208 insertions(+), 2 deletions(-) create mode 100644 examples/ai_lead_generation/agents/README.md create mode 100644 examples/ai_lead_generation/agents/main.py create mode 100644 examples/ai_lead_generation/agents/requirements.txt create mode 100644 examples/ai_lead_generation/agents/runagent.config.json create mode 100644 examples/ai_lead_generation/sdk/python/test.py create mode 100644 examples/lightrag_agent_(developing)/agent/__init__.py create mode 100644 examples/lightrag_agent_(developing)/agent/config.py create mode 100644 examples/lightrag_agent_(developing)/agent/lightrag_agent.py create mode 100644 examples/lightrag_agent_(developing)/agent/storage.py create mode 100644 examples/lightrag_agent_(developing)/requirements.txt create mode 100644 examples/lightrag_agent_(developing)/runagent.config.json create mode 100644 examples/lightrag_agent_(developing)/sdk/python/test.py create mode 100644 examples/lightrag_agent_(developing)/services/__init__.py create mode 100644 examples/lightrag_agent_(developing)/services/document_processor.py create mode 100644 examples/lightrag_agent_(developing)/services/neon_service.py create mode 100644 examples/lightrag_agent_(developing)/services/rag_service.py create mode 100644 examples/lightrag_agent_(developing)/utils/__init__.py create mode 100644 examples/lightrag_agent_(developing)/utils/helpers.py create mode 100644 examples/rag_agent/README.md create mode 100644 examples/rag_agent/agent/agent.py create mode 100644 examples/rag_agent/agent/requirements.txt create mode 100644 examples/rag_agent/agent/runagent.config.json create mode 100644 examples/rag_agent/backend/app.py create mode 100644 examples/rag_agent/backend/requirements.txt create mode 100644 examples/rag_agent/frontend/app.js create mode 100644 examples/rag_agent/frontend/index.html create mode 100644 examples/rag_agent/frontend/package-lock.json create mode 100644 examples/rag_agent/frontend/package.json create mode 100644 examples/rag_agent/frontend/style.css create mode 100644 examples/rag_agent/manage_documents.py create mode 100644 examples/rag_agent/nvidia_fin.pdf create mode 100644 examples/rag_agent/sdk/python/test.py create mode 100644 examples/rag_agent/test_connection.py create mode 100644 leads_20251102_115848.csv create mode 100644 leads_20251102_120327.csv diff --git a/examples/ai_lead_generation/agents/README.md b/examples/ai_lead_generation/agents/README.md new file mode 100644 index 0000000..171a104 --- /dev/null +++ b/examples/ai_lead_generation/agents/README.md @@ -0,0 +1,117 @@ +# 🎯 AI Lead Generation Agent - RunAgent + +Automated lead generation from Quora using Firecrawl's Extract endpoint and Google Sheets integration. This RunAgent-powered agent finds and qualifies potential leads, extracting valuable information and organizing it into Google Sheets. + +## Features + +- **Intelligent Search**: Uses Firecrawl's search to find relevant Quora URLs +- **Smart Extraction**: Leverages Firecrawl's Extract endpoint to pull user information +- **Automated Processing**: Formats data into clean, structured format +- **Google Sheets Integration**: Automatically creates and populates sheets with lead data +- **RunAgent Compatible**: Deploy as a cloud API endpoint + +## Setup + +### 1. Install Dependencies + +```bash +pip install -r requirements.txt +``` + +### 2. Configure Composio + +```bash +composio add googlesheets +``` + +Make sure the Google Sheets integration is active in your Composio dashboard. + +### 3. Set Environment Variables + +Update `runagent.config.json` with your API keys: +- `FIRECRAWL_API_KEY`: Get from [Firecrawl](https://www.firecrawl.dev/app/api-keys) +- `COMPOSIO_API_KEY`: Get from [Composio](https://composio.ai) +- `OPENAI_API_KEY`: Get from [OpenAI](https://platform.openai.com/api-keys) + +## Usage + +### Local Testing + +```python +from main import generate_leads + +result = generate_leads( + search_query="AI customer support chatbots", + num_links=3, + firecrawl_api_key="your-key", + composio_api_key="your-key", + openai_api_key="your-key" +) + +print(result) +``` + +### Deploy with RunAgent + +```bash +# Test locally +runagent serve . --local + +# Deploy to cloud +runagent deploy . +``` + +### Use the SDK + +```python +from runagent import RunAgentClient + +client = RunAgentClient( + agent_id="your-deployed-agent-id", + entrypoint_tag="generate_leads", + local=False +) + +result = client.run( + search_query="AI video editing software", + num_links=5 +) + +print(f"Google Sheet: {result['google_sheet_url']}") +print(f"Leads found: {result['leads_count']}") +``` + +## Parameters + +- `search_query` (str): Description of leads to find (e.g., "AI customer support chatbots") +- `num_links` (int): Number of Quora URLs to process (1-10, default: 3) +- `firecrawl_api_key` (str): Your Firecrawl API key +- `composio_api_key` (str): Your Composio API key +- `openai_api_key` (str): Your OpenAI API key + +## Response Format + +```json +{ + "success": true, + "search_query": "AI video editing software", + "urls_processed": 3, + "leads_count": 15, + "google_sheet_url": "https://docs.google.com/spreadsheets/d/...", + "leads_data": [...] +} +``` + +## How It Works + +1. **Search**: Queries Quora for relevant discussions using Firecrawl search +2. **Extract**: Uses Firecrawl Extract to pull user profiles and interactions +3. **Format**: Structures data with username, bio, post type, timestamp, upvotes, and links +4. **Save**: Creates a new Google Sheet with all lead information + +## Support + +For issues or questions, refer to: +- [RunAgent Documentation](https://docs.runagent.dev) +- [Firecrawl Documentation](https://docs.firecrawl.dev) +- [Composio Documentation](https://docs.composio.dev) \ No newline at end of file diff --git a/examples/ai_lead_generation/agents/main.py b/examples/ai_lead_generation/agents/main.py new file mode 100644 index 0000000..a77a3a3 --- /dev/null +++ b/examples/ai_lead_generation/agents/main.py @@ -0,0 +1,419 @@ +#!/usr/bin/env python +""" +RunAgent-compatible entry points for AI Lead Generation Agent +""" +import os +import requests +from firecrawl import FirecrawlApp +from pydantic import BaseModel, Field +from typing import List, Dict, Any +import json +import csv +from datetime import datetime +from dotenv import load_dotenv +from openai import OpenAI + +# Load environment variables +load_dotenv() + + +class QuoraUserInteractionSchema(BaseModel): + username: str = Field(description="The username of the user who posted the question or answer") + bio: str = Field(description="The bio or description of the user") + post_type: str = Field(description="The type of post, either 'question' or 'answer'") + timestamp: str = Field(description="When the question or answer was posted") + upvotes: int = Field(default=0, description="Number of upvotes received") + links: List[str] = Field(default_factory=list, description="Any links included in the post") + + +class QuoraPageSchema(BaseModel): + interactions: List[QuoraUserInteractionSchema] = Field( + description="List of all user interactions (questions and answers) on the page" + ) + + +def search_quora_urls(query: str, firecrawl_api_key: str, num_links: int = 3) -> List[str]: + """Search for relevant Quora URLs based on query""" + url = "https://api.firecrawl.dev/v1/search" + headers = { + "Authorization": f"Bearer {firecrawl_api_key}", + "Content-Type": "application/json" + } + + search_query = f"quora websites where people are looking for {query} services" + print(f" 🔍 Search query: {search_query}") + + payload = { + "query": search_query, + "limit": num_links, + "lang": "en", + "location": "United States", + "timeout": 60000, + } + + try: + response = requests.post(url, json=payload, headers=headers) + print(f" 📡 Search API status: {response.status_code}") + + if response.status_code == 200: + data = response.json() + print(f" 📡 Search success: {data.get('success')}") + + if data.get("success"): + results = data.get("data", []) + urls = [result["url"] for result in results] + print(f" ✅ Found {len(urls)} URLs:") + for i, found_url in enumerate(urls, 1): + print(f" {i}. {found_url}") + return urls + else: + print(f" ❌ Search API error: {response.text}") + + except Exception as e: + print(f" ❌ Error searching URLs: {e}") + + return [] + + +def extract_leads_with_openai(url: str, page_content: str, openai_api_key: str) -> List[dict]: + """Use OpenAI to intelligently extract lead information from page content""" + try: + client = OpenAI(api_key=openai_api_key) + + prompt = f"""Analyze this Quora page content and extract information about users who are asking questions or providing answers related to the topic. + +Page URL: {url} + +Page Content: +{page_content[:8000]} # Limit content to avoid token limits + +Extract the following information for each user you find: +1. Username (if visible) +2. Bio/Description (if available) +3. Whether they asked a question or provided an answer +4. Timestamp (if available) +5. Number of upvotes (if visible) +6. Any relevant links they shared + +Return a JSON array of users. If you can't find specific information, use reasonable defaults like "Unknown" or "Not specified". + +Example format: +[ + {{ + "username": "John Doe", + "bio": "Software Engineer at Tech Corp", + "post_type": "question", + "timestamp": "2 days ago", + "upvotes": 15, + "links": [] + }} +] + +If no users are clearly identifiable, return at least one entry with the page URL and basic information.""" + + response = client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": "You are a lead generation expert who extracts user information from web pages."}, + {"role": "user", "content": prompt} + ], + response_format={"type": "json_object"}, + temperature=0.3 + ) + + result = json.loads(response.choices[0].message.content) + + # Handle different possible response structures + if isinstance(result, dict) and 'users' in result: + return result['users'] + elif isinstance(result, list): + return result + elif isinstance(result, dict): + # If it's a dict but not with 'users' key, wrap it + return [result] + else: + return [] + + except Exception as e: + print(f" ⚠️ OpenAI extraction failed: {str(e)}") + return [] + + +def extract_leads_from_urls(urls: List[str], firecrawl_api_key: str, openai_api_key: str = None) -> List[dict]: + """Extract user information from Quora URLs using Firecrawl + OpenAI""" + user_info_list = [] + firecrawl_app = FirecrawlApp(api_key=firecrawl_api_key) + use_openai = openai_api_key is not None + + for url in urls: + try: + print(f" 📊 Extracting from: {url}") + + # First, try to scrape the page content + scrape_response = firecrawl_app.scrape_url( + url=url, + params={'formats': ['markdown', 'html']} + ) + + if not scrape_response.get('success'): + print(f" ❌ Failed to scrape {url}") + # Create basic fallback + user_info_list.append({ + "website_url": url, + "user_info": [{ + 'username': 'Quora User', + 'bio': 'Lead from Quora - Manual review needed', + 'post_type': 'discussion', + 'timestamp': 'Recent', + 'upvotes': 0, + 'links': [url] + }] + }) + continue + + page_content = scrape_response.get('markdown', '') or scrape_response.get('html', '') + + if not page_content: + print(f" ⚠️ No content extracted from {url}") + continue + + print(f" ✅ Scraped {len(page_content)} characters") + + # Use OpenAI to intelligently extract user information + if use_openai: + print(f" 🤖 Using OpenAI to extract lead information...") + interactions = extract_leads_with_openai(url, page_content, openai_api_key) + + if interactions and len(interactions) > 0: + print(f" ✅ OpenAI extracted {len(interactions)} leads") + user_info_list.append({ + "website_url": url, + "user_info": interactions + }) + else: + print(f" ⚠️ OpenAI found no leads, creating basic entry") + user_info_list.append({ + "website_url": url, + "user_info": [{ + 'username': 'Quora User', + 'bio': 'Active in discussion', + 'post_type': 'discussion', + 'timestamp': 'Recent', + 'upvotes': 0, + 'links': [url] + }] + }) + else: + # Without OpenAI, create basic entry from URL + print(f" ℹ️ No OpenAI key provided, creating basic entry") + user_info_list.append({ + "website_url": url, + "user_info": [{ + 'username': 'Quora User', + 'bio': 'Lead from Quora discussion', + 'post_type': 'discussion', + 'timestamp': 'Recent', + 'upvotes': 0, + 'links': [url] + }] + }) + + except Exception as e: + print(f" ❌ Error processing {url}: {str(e)}") + # Always create a fallback entry + user_info_list.append({ + "website_url": url, + "user_info": [{ + 'username': 'Quora User', + 'bio': 'Lead from Quora - Manual review needed', + 'post_type': 'discussion', + 'timestamp': 'Recent', + 'upvotes': 0, + 'links': [url] + }] + }) + continue + + print(f"\n📊 Total URLs processed: {len(urls)}") + print(f"📊 URLs with data extracted: {len(user_info_list)}") + + return user_info_list + + +def format_leads_data(user_info_list: List[dict]) -> List[dict]: + """Format extracted data into flattened structure""" + flattened_data = [] + + print(f"\n🔧 Formatting {len(user_info_list)} URL data entries...") + + for info in user_info_list: + website_url = info["website_url"] + user_info = info["user_info"] + + print(f" 📄 Processing {website_url}: {len(user_info)} interactions") + + for interaction in user_info: + # Handle both dict and object types + if isinstance(interaction, dict): + username = interaction.get("username", "Unknown") + bio = interaction.get("bio", "") + post_type = interaction.get("post_type", "") + timestamp = interaction.get("timestamp", "") + upvotes = interaction.get("upvotes", 0) + links = interaction.get("links", []) + else: + # Handle Pydantic model objects + username = getattr(interaction, "username", "Unknown") + bio = getattr(interaction, "bio", "") + post_type = getattr(interaction, "post_type", "") + timestamp = getattr(interaction, "timestamp", "") + upvotes = getattr(interaction, "upvotes", 0) + links = getattr(interaction, "links", []) + + flattened_interaction = { + "Website URL": website_url, + "Username": username, + "Bio": bio, + "Post Type": post_type, + "Timestamp": timestamp, + "Upvotes": upvotes, + "Links": ", ".join(links) if isinstance(links, list) else str(links), + } + flattened_data.append(flattened_interaction) + + print(f" ✅ Formatted {len(flattened_data)} total lead entries\n") + return flattened_data + + +def save_to_csv(data: List[dict], filename: str = None) -> str: + """Save lead data to CSV file""" + if not filename: + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + filename = f"leads_{timestamp}.csv" + + try: + # Ensure we have data + if not data: + return None + + # Write to CSV + with open(filename, 'w', newline='', encoding='utf-8') as csvfile: + fieldnames = ["Website URL", "Username", "Bio", "Post Type", "Timestamp", "Upvotes", "Links"] + writer = csv.DictWriter(csvfile, fieldnames=fieldnames) + + writer.writeheader() + for row in data: + writer.writerow(row) + + return filename + + except Exception as e: + print(f"Error saving to CSV: {e}") + return None + + +def generate_leads( + search_query: str = "AI customer support chatbots", + num_links: int = 3, + firecrawl_api_key: str = None, + openai_api_key: str = None +) -> Dict[str, Any]: + """ + RunAgent entry point: Generate leads from Quora and save to CSV + + Args: + search_query: What kind of leads to search for + num_links: Number of Quora URLs to process (1-10) + firecrawl_api_key: Firecrawl API key (defaults to env var) + openai_api_key: OpenAI API key for intelligent extraction (optional, defaults to env var) + + Returns: + Dictionary with lead generation results and CSV filename + """ + # Load from environment variables if not provided + firecrawl_api_key = firecrawl_api_key or os.getenv("FIRECRAWL_API_KEY") + openai_api_key = openai_api_key or os.getenv("OPENAI_API_KEY") + + if not firecrawl_api_key: + return { + "success": False, + "error": "Missing FIRECRAWL_API_KEY. Please set it in .env file or pass as parameter." + } + + if openai_api_key: + print("🤖 OpenAI integration enabled for intelligent extraction") + else: + print("ℹ️ OpenAI key not provided - using basic extraction") + + try: + print(f"🎯 Searching for leads: {search_query}") + + # Step 1: Search for relevant Quora URLs + print(f"🔍 Searching for {num_links} relevant Quora URLs...") + urls = search_quora_urls(search_query, firecrawl_api_key, num_links) + + if not urls: + return { + "success": False, + "error": "No relevant URLs found" + } + + print(f"✅ Found {len(urls)} URLs") + + # Step 2: Extract lead information + print("📊 Extracting lead information from URLs...") + user_info_list = extract_leads_from_urls(urls, firecrawl_api_key, openai_api_key) + + if not user_info_list: + return { + "success": False, + "error": "No leads extracted from URLs" + } + + # Step 3: Format the data + print("🔧 Formatting lead data...") + formatted_data = format_leads_data(user_info_list) + + print(f"✅ Extracted {len(formatted_data)} leads") + + # Step 4: Save to CSV + print("📝 Saving to CSV file...") + csv_filename = save_to_csv(formatted_data) + + if not csv_filename: + return { + "success": False, + "error": "Failed to create CSV file", + "leads_count": len(formatted_data), + "leads_data": formatted_data + } + + print(f"🎉 Success! CSV file created: {csv_filename}") + + return { + "success": True, + "search_query": search_query, + "urls_processed": len(urls), + "leads_count": len(formatted_data), + "csv_filename": csv_filename, + "csv_path": os.path.abspath(csv_filename), + "openai_used": openai_api_key is not None, + "leads_data": formatted_data + } + + except Exception as e: + import traceback + return { + "success": False, + "error": str(e), + "traceback": traceback.format_exc() + } + + +if __name__ == "__main__": + # Test the function + result = generate_leads( + search_query="AI video editing software", + num_links=2 + ) + print(json.dumps(result, indent=2)) \ No newline at end of file diff --git a/examples/ai_lead_generation/agents/requirements.txt b/examples/ai_lead_generation/agents/requirements.txt new file mode 100644 index 0000000..1f67e91 --- /dev/null +++ b/examples/ai_lead_generation/agents/requirements.txt @@ -0,0 +1,6 @@ +firecrawl-py +agno +pydantic +requests +python-dotenv +openai \ No newline at end of file diff --git a/examples/ai_lead_generation/agents/runagent.config.json b/examples/ai_lead_generation/agents/runagent.config.json new file mode 100644 index 0000000..c1b9eaa --- /dev/null +++ b/examples/ai_lead_generation/agents/runagent.config.json @@ -0,0 +1,27 @@ +{ + "agent_name": "AI Lead Generation Agent", + "description": "Automated lead generation from Quora using Firecrawl Extract endpoint and Google Sheets integration", + "framework": "agno", + "template": "lead_generation", + "version": "1.0.0", + "created_at": "2025-11-02", + "template_source": { + "repo_url": "https://github.com/runagent-dev/runagent.git", + "path": "examples/ai_lead_generation", + "author": "runagent" + }, + "agent_architecture": { + "entrypoints": [ + { + "file": "main.py", + "module": "generate_leads", + "tag": "generate_leads", + "description": "Generate leads from Quora based on search query and save to Google Sheets" + } + ] + }, + "env_vars": { + "FIRECRAWL_API_KEY": "", + "OPENAI_API_KEY": "" + } + } \ No newline at end of file diff --git a/examples/ai_lead_generation/sdk/python/test.py b/examples/ai_lead_generation/sdk/python/test.py new file mode 100644 index 0000000..93253b5 --- /dev/null +++ b/examples/ai_lead_generation/sdk/python/test.py @@ -0,0 +1,14 @@ +from runagent import RunAgentClient + +client = RunAgentClient( + agent_id="bb9bc13a-ced7-4ac7-a350-a101744109ec", + entrypoint_tag="generate_leads", + local=False +) + +result = client.run( + search_query="Ai powered car sell automation", + num_links=3 +) + +print(result) \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/agent/__init__.py b/examples/lightrag_agent_(developing)/agent/__init__.py new file mode 100644 index 0000000..509aa98 --- /dev/null +++ b/examples/lightrag_agent_(developing)/agent/__init__.py @@ -0,0 +1,15 @@ +""" +LightRAG Agent Module +""" + +from agent.config import get_config, get_agent_id, LightRAGConfig +from agent.storage import NeonStorageManager, initialize_neon_storage +from agent.lightrag_agent import * + +__all__ = [ + 'get_config', + 'get_agent_id', + 'LightRAGConfig', + 'NeonStorageManager', + 'initialize_neon_storage', +] \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/agent/config.py b/examples/lightrag_agent_(developing)/agent/config.py new file mode 100644 index 0000000..6d461ef --- /dev/null +++ b/examples/lightrag_agent_(developing)/agent/config.py @@ -0,0 +1,235 @@ +""" +Configuration management for LightRAG Agent +Handles environment variables and settings validation +""" + +import os +from typing import Optional +from pydantic_settings import BaseSettings +from pydantic import Field, validator +from functools import lru_cache + + +class LightRAGConfig(BaseSettings): + """LightRAG Agent Configuration""" + + # ============================================ + # Required: API Keys + # ============================================ + openai_api_key: str = Field(..., env="OPENAI_API_KEY") + openai_base_url: str = Field( + default="https://api.openai.com/v1", + env="OPENAI_BASE_URL" + ) + + # ============================================ + # Required: Neon PostgreSQL + # ============================================ + neon_database_url: str = Field(..., env="NEON_DATABASE_URL") + neon_api_key: Optional[str] = Field(default=None, env="NEON_API_KEY") + neon_project_id: Optional[str] = Field(default=None, env="NEON_PROJECT_ID") + + # ============================================ + # Embedding Configuration + # ============================================ + embedding_dim: int = Field(default=1536, env="EMBEDDING_DIM") + embedding_model: str = Field( + default="text-embedding-3-small", + env="EMBEDDING_MODEL" + ) + + # ============================================ + # LLM Configuration + # ============================================ + llm_model: str = Field(default="gpt-4o-mini", env="LLM_MODEL") + vision_model: str = Field(default="gpt-4o", env="VISION_MODEL") + + # ============================================ + # RAG Configuration + # ============================================ + top_k: int = Field(default=60, env="TOP_K") + chunk_top_k: int = Field(default=20, env="CHUNK_TOP_K") + max_entity_tokens: int = Field(default=0, env="MAX_ENTITY_TOKENS") + max_relation_tokens: int = Field(default=0, env="MAX_RELATION_TOKENS") + max_total_tokens: int = Field(default=30000, env="MAX_TOTAL_TOKENS") + + # ============================================ + # Document Processing + # ============================================ + parser: str = Field(default="mineru", env="PARSER") + parse_method: str = Field(default="auto", env="PARSE_METHOD") + enable_image_processing: bool = Field(default=True, env="ENABLE_IMAGE_PROCESSING") + enable_table_processing: bool = Field(default=True, env="ENABLE_TABLE_PROCESSING") + enable_equation_processing: bool = Field(default=True, env="ENABLE_EQUATION_PROCESSING") + output_dir: str = Field(default="./parsed_output", env="OUTPUT_DIR") + + # ============================================ + # Storage Configuration + # ============================================ + working_dir: str = Field(default="/dev/shm/lightrag", env="WORKING_DIR") + workspace: str = Field(default="default", env="WORKSPACE") + + # ============================================ + # Neo4j Configuration (for Graph Storage) + # Must be defined BEFORE graph_storage for validation + # ============================================ + neo4j_uri: Optional[str] = Field(default=None, env="NEO4J_URI") + neo4j_username: Optional[str] = Field(default=None, env="NEO4J_USERNAME") + neo4j_password: Optional[str] = Field(default=None, env="NEO4J_PASSWORD") + neo4j_workspace: str = Field(default="base", env="NEO4J_WORKSPACE") + + # Storage backend selection (must be after neo4j config) + kv_storage: str = Field(default="PGKVStorage", env="KV_STORAGE") + vector_storage: str = Field(default="PGVectorStorage", env="VECTOR_STORAGE") + graph_storage: str = Field(default="NetworkXStorage", env="GRAPH_STORAGE") # NetworkX by default, use Neo4JStorage for serverless + doc_status_storage: str = Field(default="PGDocStatusStorage", env="DOC_STATUS_STORAGE") + + # ============================================ + # Performance Configuration + # ============================================ + max_parallel_insert: int = Field(default=4, env="MAX_PARALLEL_INSERT") + llm_model_max_async: int = Field(default=4, env="LLM_MODEL_MAX_ASYNC") + embedding_func_max_async: int = Field(default=16, env="EMBEDDING_FUNC_MAX_ASYNC") + embedding_batch_num: int = Field(default=32, env="EMBEDDING_BATCH_NUM") + + # ============================================ + # Optional Configuration + # ============================================ + enable_llm_cache: bool = Field(default=True, env="ENABLE_LLM_CACHE") + enable_rerank: bool = Field(default=True, env="ENABLE_RERANK") + log_level: str = Field(default="INFO", env="LOG_LEVEL") + + summary_context_size: int = Field(default=10000, env="SUMMARY_CONTEXT_SIZE") + summary_max_tokens: int = Field(default=500, env="SUMMARY_MAX_TOKENS") + cosine_threshold: float = Field(default=0.2, env="COSINE_THRESHOLD") + + class Config: + env_file = ".env" + case_sensitive = False + extra = "allow" + + @validator("parser") + def validate_parser(cls, v): + """Validate parser selection""" + valid_parsers = ["mineru", "docling"] + if v not in valid_parsers: + raise ValueError(f"Parser must be one of {valid_parsers}") + return v + + @validator("parse_method") + def validate_parse_method(cls, v): + """Validate parse method""" + valid_methods = ["auto", "ocr", "txt"] + if v not in valid_methods: + raise ValueError(f"Parse method must be one of {valid_methods}") + return v + + @validator("neon_database_url") + def validate_neon_url(cls, v): + """Validate Neon database URL format""" + if not v.startswith("postgresql://") and not v.startswith("postgres://"): + raise ValueError("NEON_DATABASE_URL must start with postgresql:// or postgres://") + if "sslmode" not in v: + # Append sslmode=require if not present + separator = "?" if "?" not in v else "&" + v = f"{v}{separator}sslmode=require" + return v + + @validator("graph_storage") + def validate_graph_storage(cls, v, values): + """Validate graph storage configuration""" + if v == "Neo4JStorage": + # Check if Neo4j credentials are provided + neo4j_uri = values.get('neo4j_uri') + if not neo4j_uri: + raise ValueError( + "When GRAPH_STORAGE=Neo4JStorage, you must provide Neo4j configuration in .env:\n" + " NEO4J_URI=neo4j://localhost:7687\n" + " NEO4J_USERNAME=neo4j\n" + " NEO4J_PASSWORD=your-password\n" + " NEO4J_WORKSPACE=base\n\n" + "To use NetworkX instead (not recommended for serverless):\n" + " GRAPH_STORAGE=NetworkXStorage\n\n" + "See NEO4J_SETUP.md for detailed setup instructions." + ) + return v + + def get_postgres_config(self) -> dict: + """Extract PostgreSQL configuration from connection string""" + import re + pattern = r'postgresql://([^:]+):([^@]+)@([^/]+)/([^?]+)' + match = re.match(pattern, self.neon_database_url) + + if not match: + raise ValueError("Invalid PostgreSQL connection string format") + + user, password, host, database = match.groups() + + if ':' in host: + host, port = host.rsplit(':', 1) + else: + port = '5432' + + return { + 'user': user, + 'password': password, + 'host': host, + 'port': port, + 'database': database + } + + def set_env_vars(self): + """Set environment variables for LightRAG and dependencies""" + # OpenAI + os.environ['OPENAI_API_KEY'] = self.openai_api_key + if self.openai_base_url: + os.environ['OPENAI_BASE_URL'] = self.openai_base_url + + # PostgreSQL + pg_config = self.get_postgres_config() + os.environ['POSTGRES_USER'] = pg_config['user'] + os.environ['POSTGRES_PASSWORD'] = pg_config['password'] + os.environ['POSTGRES_HOST'] = pg_config['host'] + os.environ['POSTGRES_PORT'] = pg_config['port'] + os.environ['POSTGRES_DATABASE'] = pg_config['database'] + + # Neo4j (if configured) + if self.neo4j_uri: + os.environ['NEO4J_URI'] = self.neo4j_uri + if self.neo4j_username: + os.environ['NEO4J_USERNAME'] = self.neo4j_username + if self.neo4j_password: + os.environ['NEO4J_PASSWORD'] = self.neo4j_password + if self.neo4j_workspace: + os.environ['NEO4J_WORKSPACE'] = self.neo4j_workspace + + # LightRAG specific + os.environ['EMBEDDING_DIM'] = str(self.embedding_dim) + os.environ['TOP_K'] = str(self.top_k) + os.environ['CHUNK_TOP_K'] = str(self.chunk_top_k) + os.environ['MAX_ENTITY_TOKENS'] = str(self.max_entity_tokens) + os.environ['MAX_RELATION_TOKENS'] = str(self.max_relation_tokens) + os.environ['MAX_TOTAL_TOKENS'] = str(self.max_total_tokens) + os.environ['SUMMARY_CONTEXT_SIZE'] = str(self.summary_context_size) + os.environ['SUMMARY_MAX_TOKENS'] = str(self.summary_max_tokens) + os.environ['COSINE_THRESHOLD'] = str(self.cosine_threshold) + os.environ['MAX_ASYNC'] = str(self.llm_model_max_async) + + # Document processing + os.environ['PARSER'] = self.parser + os.environ['PARSE_METHOD'] = self.parse_method + os.environ['OUTPUT_DIR'] = self.output_dir + + +@lru_cache() +def get_config() -> LightRAGConfig: + """Get cached configuration instance""" + return LightRAGConfig() + + +def get_agent_id() -> str: + """ + Get agent ID from environment or generate a unique one + This is set by RunAgent when the agent is deployed + """ + return os.environ.get('RUNAGENT_AGENT_ID', 'local-agent') \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/agent/lightrag_agent.py b/examples/lightrag_agent_(developing)/agent/lightrag_agent.py new file mode 100644 index 0000000..a895d01 --- /dev/null +++ b/examples/lightrag_agent_(developing)/agent/lightrag_agent.py @@ -0,0 +1,564 @@ +""" +LightRAG Agent - Main Entrypoints for RunAgent +This module exposes all agent functionalities through RunAgent-compatible functions +""" + +import asyncio +from typing import List, Dict, Optional, Any +from loguru import logger + +from agent.config import get_config, get_agent_id +from agent.storage import initialize_neon_storage +from services.rag_service import RAGService +from services.document_processor import DocumentProcessor + + +# ============================================ +# Global State Management +# ============================================ + +_rag_service: Optional[RAGService] = None +_initialized = False + + +async def _ensure_initialized(): + """Ensure RAG service is initialized""" + global _rag_service, _initialized + + if _initialized and _rag_service is not None: + return _rag_service + + try: + # Load configuration + config = get_config() + logger.info(f"🔧 Loading configuration for agent: {get_agent_id()}") + + # Initialize storage + logger.info("🗄️ Initializing Neon PostgreSQL storage...") + storage_manager = await initialize_neon_storage(config) + + # Initialize RAG service + logger.info("🤖 Initializing RAG service...") + _rag_service = RAGService(config, storage_manager) + await _rag_service.initialize() + + _initialized = True + logger.info("✅ Agent initialization complete!") + + return _rag_service + + except Exception as e: + logger.error(f"❌ Agent initialization failed: {e}") + raise + + +def _run_async(coro): + """Helper to run async functions""" + try: + loop = asyncio.get_event_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + return loop.run_until_complete(coro) + + +# ============================================ +# ENTRYPOINT 1: Initialize Agent +# ============================================ + +def initialize_agent() -> Dict[str, Any]: + """ + Initialize the LightRAG agent with Neon PostgreSQL storage + + This should be called once when the agent is first deployed. + Subsequent calls will return the existing instance. + + Returns: + dict: Initialization status and agent information + """ + try: + logger.info("=" * 60) + logger.info("🚀 INITIALIZING LIGHTRAG AGENT") + logger.info("=" * 60) + + rag_service = _run_async(_ensure_initialized()) + stats = _run_async(rag_service.get_stats()) + + return { + "success": True, + "message": "Agent initialized successfully", + "agent_id": get_agent_id(), + "stats": stats + } + + except Exception as e: + logger.error(f"❌ Initialization failed: {e}") + return { + "success": False, + "error": str(e) + } + + +# ============================================ +# ENTRYPOINT 2: Insert Documents +# ============================================ + +def insert_documents( + documents: List[str], + document_ids: Optional[List[str]] = None +) -> Dict[str, Any]: + """ + Insert text documents into the knowledge base + + Args: + documents: List of document texts to insert + document_ids: Optional list of document IDs (auto-generated if not provided) + + Returns: + dict: Insertion result with count and status + + Example: + >>> result = insert_documents( + ... documents=["Document 1 text", "Document 2 text"], + ... document_ids=["doc1", "doc2"] + ... ) + """ + try: + logger.info(f"📝 Inserting {len(documents)} documents...") + + rag_service = _run_async(_ensure_initialized()) + result = _run_async(rag_service.insert_documents(documents, document_ids)) + + logger.info(f"✅ {result['message']}") + return result + + except Exception as e: + logger.error(f"❌ Document insertion failed: {e}") + return { + "success": False, + "error": str(e) + } + + +# ============================================ +# ENTRYPOINT 3: Batch Insert Documents +# ============================================ + +def insert_documents_batch( + documents: List[str], + document_ids: Optional[List[str]] = None, + batch_size: int = 10 +) -> Dict[str, Any]: + """ + Insert documents in batches for better performance with large datasets + + Args: + documents: List of document texts to insert + document_ids: Optional list of document IDs + batch_size: Number of documents per batch + + Returns: + dict: Batch insertion results + + Example: + >>> result = insert_documents_batch( + ... documents=large_document_list, + ... batch_size=20 + ... ) + """ + try: + logger.info(f"📚 Batch inserting {len(documents)} documents (batch_size={batch_size})...") + + rag_service = _run_async(_ensure_initialized()) + + total_inserted = 0 + total_batches = (len(documents) + batch_size - 1) // batch_size + + for i in range(0, len(documents), batch_size): + batch_docs = documents[i:i + batch_size] + batch_ids = document_ids[i:i + batch_size] if document_ids else None + + batch_num = i // batch_size + 1 + logger.info(f" 📦 Processing batch {batch_num}/{total_batches}...") + + result = _run_async(rag_service.insert_documents(batch_docs, batch_ids)) + + if result['success']: + total_inserted += result['document_count'] + else: + logger.warning(f" ⚠️ Batch {batch_num} failed: {result.get('error')}") + + return { + "success": True, + "total_documents": len(documents), + "total_inserted": total_inserted, + "batch_size": batch_size, + "total_batches": total_batches, + "message": f"Successfully inserted {total_inserted}/{len(documents)} documents" + } + + except Exception as e: + logger.error(f"❌ Batch insertion failed: {e}") + return { + "success": False, + "error": str(e) + } + + +# ============================================ +# ENTRYPOINT 4: Process Multimodal Document +# ============================================ + +def process_multimodal_document( + file_path: str, + parse_method: Optional[str] = None +) -> Dict[str, Any]: + """ + Process a multimodal document (PDF, Office, images, etc.) + Uses RAG-Anything to extract and process all content types + + Args: + file_path: Path to the document file + parse_method: Optional parse method override ("auto", "ocr", or "txt") + + Returns: + dict: Processing result + + Example: + >>> result = process_multimodal_document( + ... file_path="/path/to/research_paper.pdf", + ... parse_method="auto" + ... ) + """ + try: + # Validate file + validation = DocumentProcessor.validate_file(file_path) + if not validation['valid']: + return { + "success": False, + "error": validation['error'] + } + + logger.info(f"📄 Processing multimodal document: {file_path}") + logger.info(f" Type: {validation['type']}, Size: {validation['size'] / 1024:.2f} KB") + + # Estimate processing time + estimate = DocumentProcessor.estimate_processing_time(file_path) + logger.info(f" ⏱️ Estimated processing time: ~{estimate['estimated_seconds']}s") + + rag_service = _run_async(_ensure_initialized()) + result = _run_async( + rag_service.process_multimodal_document(file_path, parse_method) + ) + + if result['success']: + logger.info(f"✅ {result['message']}") + + return result + + except Exception as e: + logger.error(f"❌ Document processing failed: {e}") + return { + "success": False, + "error": str(e) + } + + +# ============================================ +# ENTRYPOINT 5: Process Folder +# ============================================ + +def process_folder( + folder_path: str, + file_extensions: Optional[List[str]] = None, + recursive: bool = True, + max_workers: int = 4 +) -> Dict[str, Any]: + """ + Process all documents in a folder + + Args: + folder_path: Path to the folder + file_extensions: List of extensions to process (default: all supported) + recursive: Whether to process subdirectories + max_workers: Number of parallel workers + + Returns: + dict: Processing results + + Example: + >>> result = process_folder( + ... folder_path="/path/to/documents", + ... file_extensions=[".pdf", ".docx"], + ... recursive=True, + ... max_workers=4 + ... ) + """ + try: + # Validate folder + validation = DocumentProcessor.validate_folder(folder_path) + if not validation['valid']: + return { + "success": False, + "error": validation['error'] + } + + logger.info(f"📁 Processing folder: {folder_path}") + logger.info(f" Total files: {validation['file_count']}") + logger.info(f" Supported files: {validation['supported_files']}") + logger.info(f" Files by type: {validation['files_by_type']}") + logger.info(f" Recursive: {recursive}, Workers: {max_workers}") + + rag_service = _run_async(_ensure_initialized()) + result = _run_async( + rag_service.process_folder( + folder_path=folder_path, + file_extensions=file_extensions, + recursive=recursive, + max_workers=max_workers + ) + ) + + if result['success']: + logger.info(f"✅ {result['message']}") + + return result + + except Exception as e: + logger.error(f"❌ Folder processing failed: {e}") + return { + "success": False, + "error": str(e) + } + + +# ============================================ +# ENTRYPOINT 6: Query RAG (Non-Streaming) +# ============================================ + +def query_rag( + query: str, + mode: str = "naive", + top_k: Optional[int] = None, + response_type: str = "Multiple Paragraphs" +) -> str: + """ + Query the knowledge base (non-streaming) + + Args: + query: The question or query text + mode: Query mode - "local", "global", "hybrid", "naive", or "mix" + top_k: Number of results to retrieve (default from config) + response_type: Format of response ("Multiple Paragraphs", "Single Paragraph", "Bullet Points") + + Returns: + str: The answer to the query + + Example: + >>> answer = query_rag( + ... query="What are the main findings in the research papers?", + ... mode="hybrid", + ... response_type="Multiple Paragraphs" + ... ) + """ + try: + logger.info(f"🔍 Querying (mode={mode}): {query[:100]}...") + + rag_service = _run_async(_ensure_initialized()) + response = _run_async( + rag_service.query( + query=query, + mode=mode, + top_k=top_k, + response_type=response_type + ) + ) + + logger.info("✅ Query completed") + return response + + except Exception as e: + logger.error(f"❌ Query failed: {e}") + return f"Error: {str(e)}" + + +# ============================================ +# ENTRYPOINT 7: Query RAG (Streaming) +# ============================================ + +async def query_rag_stream( + query: str, + mode: str = "naive", + top_k: Optional[int] = None, + response_type: str = "Multiple Paragraphs" +): + """ + Query the knowledge base (streaming) + + Args: + query: The question or query text + mode: Query mode - "local", "global", "hybrid", "naive", or "mix" + top_k: Number of results to retrieve + response_type: Format of response + + Yields: + str: Chunks of the response + + Example: + >>> async for chunk in query_rag_stream( + ... query="Explain the methodology used in the papers", + ... mode="hybrid" + ... ): + ... print(chunk, end="") + """ + try: + logger.info(f"🔍 Streaming query (mode={mode}): {query[:100]}...") + + rag_service = await _ensure_initialized() + + async for chunk in rag_service.query_stream( + query=query, + mode=mode, + top_k=top_k, + response_type=response_type + ): + yield chunk + + logger.info("✅ Streaming query completed") + + except Exception as e: + logger.error(f"❌ Streaming query failed: {e}") + yield f"Error: {str(e)}" + + +# ============================================ +# ENTRYPOINT 8: Query with Multimodal Content +# ============================================ + +def query_multimodal( + query: str, + multimodal_content: List[Dict], + mode: str = "naive" +) -> str: + """ + Query with specific multimodal content (images, tables, equations) + + Args: + query: The question or query text + multimodal_content: List of multimodal content items + - For images: {"type": "image", "image_path": "path/to/image.jpg"} + - For tables: {"type": "table", "table_data": "markdown table"} + - For equations: {"type": "equation", "latex": "LaTeX formula"} + mode: Query mode + + Returns: + str: The answer incorporating multimodal context + """ + try: + logger.info(f"🎨 Multimodal query: {query[:100]}...") + logger.info(f" Content items: {len(multimodal_content)}") + + rag_service = _run_async(_ensure_initialized()) + response = _run_async( + rag_service.query_multimodal( + query=query, + multimodal_content=multimodal_content, + mode=mode + ) + ) + + logger.info("✅ Multimodal query completed") + return response + + except Exception as e: + logger.error(f"❌ Multimodal query failed: {e}") + return f"Error: {str(e)}" + + +# ============================================ +# ENTRYPOINT 9: Query with VLM Enhancement +# ============================================ + +def query_with_vlm( + query: str, + mode: str = "naive", + vlm_enhanced: bool = True +) -> str: + """ + Query with VLM-enhanced multimodal analysis + """ + try: + logger.info(f"👁️ VLM-enhanced query: {query[:100]}...") + + rag_service = _run_async(_ensure_initialized()) + response = _run_async( + rag_service.query( + query=query, + mode=mode, + vlm_enhanced=vlm_enhanced + ) + ) + + logger.info("✅ VLM query completed") + return response + + except Exception as e: + logger.error(f"❌ VLM query failed: {e}") + return f"Error: {str(e)}" + + +# ============================================ +# ENTRYPOINT 10: Delete Documents +# ============================================ + +def delete_documents(document_ids: List[str]) -> Dict[str, Any]: + """Delete documents from the knowledge base""" + try: + logger.info(f"🗑️ Deleting {len(document_ids)} documents...") + + rag_service = _run_async(_ensure_initialized()) + result = _run_async(rag_service.delete_documents(document_ids)) + + if result['success']: + logger.info(f"✅ Deleted {result['count']} documents") + + return result + + except Exception as e: + logger.error(f"❌ Deletion failed: {e}") + return {"success": False, "error": str(e)} + + +# ============================================ +# ENTRYPOINT 11: Get Agent Statistics +# ============================================ + +def get_agent_stats() -> Dict[str, Any]: + """Get comprehensive agent statistics""" + try: + logger.info("📊 Fetching statistics...") + + rag_service = _run_async(_ensure_initialized()) + stats = _run_async(rag_service.get_stats()) + + logger.info("✅ Statistics retrieved") + return stats + + except Exception as e: + logger.error(f"❌ Failed to get stats: {e}") + return {"success": False, "error": str(e)} + + +# Helper functions +def validate_file(file_path: str) -> Dict[str, Any]: + return DocumentProcessor.validate_file(file_path) + +def validate_folder(folder_path: str) -> Dict[str, Any]: + return DocumentProcessor.validate_folder(folder_path) + +def list_supported_formats() -> Dict[str, List[str]]: + return DocumentProcessor.SUPPORTED_EXTENSIONS + +def get_file_info(file_path: str) -> Dict[str, Any]: + return DocumentProcessor.get_file_info(file_path) \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/agent/storage.py b/examples/lightrag_agent_(developing)/agent/storage.py new file mode 100644 index 0000000..0031c86 --- /dev/null +++ b/examples/lightrag_agent_(developing)/agent/storage.py @@ -0,0 +1,356 @@ +""" +Storage initialization and management for Neon PostgreSQL +Handles database setup, extension enabling, and connection management +""" + +import os +import asyncpg +import asyncio +from typing import Optional +from loguru import logger + +from agent.config import LightRAGConfig + + +class NeonStorageManager: + """Manages Neon PostgreSQL storage initialization and health""" + + def __init__(self, config: LightRAGConfig): + self.config = config + self.connection_string = config.neon_database_url + self._connection: Optional[asyncpg.Connection] = None + + async def connect(self) -> asyncpg.Connection: + """Establish connection to Neon database""" + if self._connection is None or self._connection.is_closed(): + try: + self._connection = await asyncpg.connect( + self.connection_string, + ssl='require' + ) + logger.info("✅ Connected to Neon PostgreSQL") + except Exception as e: + logger.error(f"❌ Failed to connect to Neon: {e}") + raise + return self._connection + + async def close(self): + """Close database connection""" + if self._connection and not self._connection.is_closed(): + await self._connection.close() + logger.info("🔌 Closed Neon PostgreSQL connection") + + async def initialize_database(self): + """ + Initialize database with required extensions and tables + This should be called once when the agent is first deployed + """ + conn = await self.connect() + + try: + # Enable vector extension for embeddings + await conn.execute("CREATE EXTENSION IF NOT EXISTS vector;") + logger.info("✅ Enabled vector extension") + + # Try to enable AGE extension for graph storage (optional, only needed for PGGraphStorage) + graph_storage = os.environ.get("GRAPH_STORAGE", self.config.workspace if hasattr(self.config, 'graph_storage') else "NetworkXStorage") + + if graph_storage == "PGGraphStorage": + # AGE is required for PGGraphStorage + try: + await conn.execute("CREATE EXTENSION IF NOT EXISTS age;") + logger.info("✅ Enabled AGE extension for PGGraphStorage") + + await conn.execute("LOAD 'age';") + await conn.execute("SET search_path = ag_catalog, '$user', public;") + + graph_name = f"lightrag_{self.config.workspace}" + try: + await conn.execute(f"SELECT create_graph('{graph_name}');") + logger.info(f"✅ Created AGE graph: {graph_name}") + except Exception as e: + if "already exists" in str(e).lower(): + logger.info(f"ℹ️ AGE graph already exists: {graph_name}") + else: + raise + + except Exception as e: + logger.error(f"❌ AGE extension setup failed: {e}") + logger.error(" CRITICAL: PGGraphStorage requires AGE extension") + logger.error(" Please either:") + logger.error(" 1. Enable AGE extension in your Neon database, OR") + logger.error(" 2. Use Neo4JStorage (recommended): Set GRAPH_STORAGE=Neo4JStorage in .env") + raise RuntimeError( + f"AGE extension is required for PGGraphStorage. " + f"Either enable AGE in Neon or use Neo4JStorage (GRAPH_STORAGE=Neo4JStorage)" + ) + else: + # For NetworkX or Neo4j, AGE is not required + logger.info(f"ℹ️ Graph storage: {graph_storage} (AGE extension not required)") + + # Try to enable AGE anyway if available (nice to have, not critical) + try: + await conn.execute("CREATE EXTENSION IF NOT EXISTS age;") + logger.info("✅ AGE extension available (optional)") + except Exception: + logger.info("ℹ️ AGE extension not available (not required for current graph storage)") + + # Create metadata table for agent tracking + await conn.execute(""" + CREATE TABLE IF NOT EXISTS lightrag_agents ( + agent_id VARCHAR(255) PRIMARY KEY, + workspace VARCHAR(255) NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + document_count INTEGER DEFAULT 0, + total_chunks INTEGER DEFAULT 0, + total_entities INTEGER DEFAULT 0, + total_relations INTEGER DEFAULT 0, + metadata JSONB, + UNIQUE(agent_id, workspace) + ); + """) + logger.info("✅ Created lightrag_agents metadata table") + + # Create index for faster lookups + await conn.execute(""" + CREATE INDEX IF NOT EXISTS idx_lightrag_agents_workspace + ON lightrag_agents(workspace); + """) + + logger.info("🎉 Database initialization complete!") + + except Exception as e: + logger.error(f"❌ Database initialization failed: {e}") + raise + + async def register_agent(self, agent_id: str, workspace: str): + """Register agent in metadata table""" + conn = await self.connect() + + try: + await conn.execute(""" + INSERT INTO lightrag_agents (agent_id, workspace, metadata) + VALUES ($1, $2, $3) + ON CONFLICT (agent_id, workspace) + DO UPDATE SET updated_at = CURRENT_TIMESTAMP + """, agent_id, workspace, '{}') + + logger.info(f"✅ Registered agent {agent_id} in workspace {workspace}") + + except Exception as e: + logger.error(f"❌ Failed to register agent: {e}") + raise + + async def update_agent_stats( + self, + agent_id: str, + workspace: str, + document_count: Optional[int] = None, + total_chunks: Optional[int] = None, + total_entities: Optional[int] = None, + total_relations: Optional[int] = None, + metadata: Optional[dict] = None + ): + """Update agent statistics""" + conn = await self.connect() + + updates = [] + values = [] + param_idx = 1 + + if document_count is not None: + updates.append(f"document_count = ${param_idx}") + values.append(document_count) + param_idx += 1 + + if total_chunks is not None: + updates.append(f"total_chunks = ${param_idx}") + values.append(total_chunks) + param_idx += 1 + + if total_entities is not None: + updates.append(f"total_entities = ${param_idx}") + values.append(total_entities) + param_idx += 1 + + if total_relations is not None: + updates.append(f"total_relations = ${param_idx}") + values.append(total_relations) + param_idx += 1 + + if metadata is not None: + import json + updates.append(f"metadata = ${param_idx}") + values.append(json.dumps(metadata)) + param_idx += 1 + + if not updates: + return + + updates.append("updated_at = CURRENT_TIMESTAMP") + values.extend([agent_id, workspace]) + + query = f""" + UPDATE lightrag_agents + SET {', '.join(updates)} + WHERE agent_id = ${param_idx} AND workspace = ${param_idx + 1} + """ + + try: + await conn.execute(query, *values) + logger.debug(f"📊 Updated stats for agent {agent_id}") + except Exception as e: + logger.error(f"❌ Failed to update agent stats: {e}") + + async def get_agent_stats(self, agent_id: str, workspace: str) -> dict: + """Get agent statistics""" + conn = await self.connect() + + try: + row = await conn.fetchrow(""" + SELECT * FROM lightrag_agents + WHERE agent_id = $1 AND workspace = $2 + """, agent_id, workspace) + + if row: + import json + return { + 'agent_id': row['agent_id'], + 'workspace': row['workspace'], + 'created_at': row['created_at'].isoformat() if row['created_at'] else None, + 'updated_at': row['updated_at'].isoformat() if row['updated_at'] else None, + 'document_count': row['document_count'], + 'total_chunks': row['total_chunks'], + 'total_entities': row['total_entities'], + 'total_relations': row['total_relations'], + 'metadata': json.loads(row['metadata']) if row['metadata'] else {} + } + + return None + + except Exception as e: + logger.error(f"❌ Failed to get agent stats: {e}") + return None + + async def health_check(self) -> dict: + """Check database health and connectivity""" + try: + conn = await self.connect() + + # Check basic connectivity + await conn.execute("SELECT 1") + + # Check extensions + vector_enabled = await conn.fetchval(""" + SELECT EXISTS( + SELECT 1 FROM pg_extension WHERE extname = 'vector' + ) + """) + + age_enabled = await conn.fetchval(""" + SELECT EXISTS( + SELECT 1 FROM pg_extension WHERE extname = 'age' + ) + """) + + # Check AGE graph exists + age_graph_exists = False + if age_enabled: + try: + graph_name = f"lightrag_{self.config.workspace}" + await conn.execute("LOAD 'age';") + await conn.execute("SET search_path = ag_catalog, '$user', public;") + + result = await conn.fetchval(f""" + SELECT EXISTS( + SELECT 1 FROM ag_catalog.ag_graph WHERE name = '{graph_name}' + ) + """) + age_graph_exists = bool(result) + except Exception: + pass + + # Check tables + tables = await conn.fetch(""" + SELECT tablename + FROM pg_tables + WHERE schemaname = 'public' + AND tablename LIKE 'lightrag%' + """) + + # Check Neo4j if configured + neo4j_health = None + graph_storage = os.environ.get("GRAPH_STORAGE", getattr(self.config, "graph_storage", "NetworkXStorage")) + if graph_storage == "Neo4JStorage": + try: + from services.neo4j_validator import validate_neo4j_connection + neo4j_uri = os.environ.get("NEO4J_URI") + neo4j_user = os.environ.get("NEO4J_USERNAME") + neo4j_pass = os.environ.get("NEO4J_PASSWORD") + neo4j_workspace = os.environ.get("NEO4J_WORKSPACE", "base") + + if neo4j_uri and neo4j_user and neo4j_pass: + neo4j_result = await validate_neo4j_connection( + neo4j_uri, neo4j_user, neo4j_pass, neo4j_workspace + ) + neo4j_health = neo4j_result.get("health") + except Exception as e: + logger.warning(f"⚠️ Neo4j health check skipped: {e}") + neo4j_health = {"status": "not_configured", "note": "Neo4j check skipped"} + + return { + 'status': 'healthy', + 'connected': True, + 'extensions': { + 'vector': vector_enabled, + 'age': age_enabled, + 'age_graph_ready': age_graph_exists + }, + 'tables': [row['tablename'] for row in tables], + 'database': self.config.get_postgres_config()['database'], + 'neo4j': neo4j_health, + 'serverless_ready': vector_enabled and (age_graph_exists or neo4j_health is not None) + } + + except Exception as e: + logger.error(f"❌ Health check failed: {e}") + return { + 'status': 'unhealthy', + 'connected': False, + 'error': str(e) + } + + async def cleanup_agent_data(self, agent_id: str, workspace: str): + """Clean up agent data (for testing/reset)""" + conn = await self.connect() + + try: + # Delete from metadata table + await conn.execute(""" + DELETE FROM lightrag_agents + WHERE agent_id = $1 AND workspace = $2 + """, agent_id, workspace) + + logger.info(f"🧹 Cleaned up data for agent {agent_id}") + + except Exception as e: + logger.error(f"❌ Failed to cleanup agent data: {e}") + raise + + +async def initialize_neon_storage(config: LightRAGConfig) -> NeonStorageManager: + """ + Initialize Neon storage for LightRAG + This is the main entry point for storage setup + """ + manager = NeonStorageManager(config) + + # Initialize database + await manager.initialize_database() + + # Run health check + health = await manager.health_check() + logger.info(f"🏥 Database health: {health}") + + return manager \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/requirements.txt b/examples/lightrag_agent_(developing)/requirements.txt new file mode 100644 index 0000000..d857c86 --- /dev/null +++ b/examples/lightrag_agent_(developing)/requirements.txt @@ -0,0 +1,32 @@ +# Core LightRAG dependencies +lightrag-hku +raganything + +# PostgreSQL and database +asyncpg +sqlalchemy[asyncio] +psycopg2-binary + +# OpenAI and embeddings +openai + +# Document processing +python-magic +pypdf +python-docx +openpyxl +Pillow + +# Utilities +python-dotenv +pydantic +pydantic-settings +httpx +aiofiles + +# Optional: For advanced document parsing +# magic-pdf>=0.1.0 # MinerU +# docling>=0.1.0 # Alternative parser + +# Monitoring and logging +loguru \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/runagent.config.json b/examples/lightrag_agent_(developing)/runagent.config.json new file mode 100644 index 0000000..89277a1 --- /dev/null +++ b/examples/lightrag_agent_(developing)/runagent.config.json @@ -0,0 +1,76 @@ +{ + "agent_name": "LightRAG Multi-Document Agent", + "description": "Advanced RAG agent with multimodal document processing using LightRAG and RAG-Anything, backed by Neon PostgreSQL", + "framework": "default", + "template": "neon_postgres", + "version": "1.0.0", + "created_at": "2025-01-08", + "template_source": { + "repo_url": "https://github.com/HKUDS/LightRAG.git", + "path": "templates/lightrag_neon", + "author": "runagent-team" + }, + "agent_architecture": { + "entrypoints": [ + { + "file": "agent/lightrag_agent.py", + "module": "initialize_agent", + "tag": "init_agent" + }, + { + "file": "agent/lightrag_agent.py", + "module": "insert_documents", + "tag": "insert_docs" + }, + { + "file": "agent/lightrag_agent.py", + "module": "insert_documents_batch", + "tag": "insert_docs_batch" + }, + { + "file": "agent/lightrag_agent.py", + "module": "process_multimodal_document", + "tag": "process_multimodal" + }, + { + "file": "agent/lightrag_agent.py", + "module": "process_folder", + "tag": "process_folder" + }, + { + "file": "agent/lightrag_agent.py", + "module": "query_rag", + "tag": "query" + }, + { + "file": "agent/lightrag_agent.py", + "module": "query_rag_stream", + "tag": "query_stream" + }, + { + "file": "agent/lightrag_agent.py", + "module": "query_multimodal", + "tag": "query_multimodal" + }, + { + "file": "agent/lightrag_agent.py", + "module": "query_with_vlm", + "tag": "query_vlm" + }, + { + "file": "agent/lightrag_agent.py", + "module": "delete_documents", + "tag": "delete_docs" + }, + { + "file": "agent/lightrag_agent.py", + "module": "get_agent_stats", + "tag": "stats" + } + ] + }, + "env_vars": { + "OPENAI_API_KEY": "required", + "NEON_DATABASE_URL": "required" + } + } \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/sdk/python/test.py b/examples/lightrag_agent_(developing)/sdk/python/test.py new file mode 100644 index 0000000..d274647 --- /dev/null +++ b/examples/lightrag_agent_(developing)/sdk/python/test.py @@ -0,0 +1,39 @@ +from runagent import RunAgentClient + +# # 1. Initialize (first time only) +# client = RunAgentClient( +# agent_id="339d8688-c604-4ff4-bd44-d0968dd80cd4", +# entrypoint_tag="init_agent", +# local=True +# ) +# result = client.run() +# print(result) + +## 2. Process documents +# client = RunAgentClient( +# agent_id="339d8688-c604-4ff4-bd44-d0968dd80cd4", +# entrypoint_tag="process_multimodal", +# local=True +# ) +# result = client.run(file_path="/home/azureuser/magicmind/document_parse/uploads/gold-mine.png") +# print(result) +# 3. Query +client = RunAgentClient( + agent_id="339d8688-c604-4ff4-bd44-d0968dd80cd4", + entrypoint_tag="query", + local=True +) +answer = client.run( + query="What is the content of the document?", + mode="naive" +) +print(answer) +# # 4. Monitor +# client = RunAgentClient( +# agent_id="your-agent-id", +# entrypoint_tag="stats", +# local=True +# ) +# stats = client.run() +# print(f"Documents: {stats['stats']['document_count']}") +# print(stats) \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/services/__init__.py b/examples/lightrag_agent_(developing)/services/__init__.py new file mode 100644 index 0000000..e0da0d6 --- /dev/null +++ b/examples/lightrag_agent_(developing)/services/__init__.py @@ -0,0 +1,16 @@ +""" +Services Module +""" + +from services.neon_service import NeonAPIService +from services.rag_service import RAGService +from services.document_processor import DocumentProcessor +from services.neo4j_validator import Neo4jValidator, validate_neo4j_connection + +__all__ = [ + 'NeonAPIService', + 'RAGService', + 'DocumentProcessor', + 'Neo4jValidator', + 'validate_neo4j_connection', +] \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/services/document_processor.py b/examples/lightrag_agent_(developing)/services/document_processor.py new file mode 100644 index 0000000..69e671d --- /dev/null +++ b/examples/lightrag_agent_(developing)/services/document_processor.py @@ -0,0 +1,314 @@ +""" +Document processing utilities and helpers +""" + +import os +from typing import List, Dict, Optional +from pathlib import Path +from loguru import logger + + +class DocumentProcessor: + """Utilities for document processing and validation""" + + SUPPORTED_EXTENSIONS = { + 'text': ['.txt', '.md'], + 'pdf': ['.pdf'], + 'office': ['.doc', '.docx', '.ppt', '.pptx', '.xls', '.xlsx'], + 'image': ['.jpg', '.jpeg', '.png', '.bmp', '.tiff', '.gif', '.webp'] + } + + @classmethod + def get_all_supported_extensions(cls) -> List[str]: + """Get all supported file extensions""" + extensions = [] + for ext_list in cls.SUPPORTED_EXTENSIONS.values(): + extensions.extend(ext_list) + return extensions + + @classmethod + def validate_file(cls, file_path: str) -> Dict[str, any]: + """ + Validate if file exists and is supported + + Returns: + dict: { + 'valid': bool, + 'exists': bool, + 'supported': bool, + 'extension': str, + 'type': str, + 'size': int (in bytes), + 'error': Optional[str] + } + """ + result = { + 'valid': False, + 'exists': False, + 'supported': False, + 'extension': None, + 'type': None, + 'size': 0, + 'error': None + } + + # Check if file exists + if not os.path.exists(file_path): + result['error'] = f"File not found: {file_path}" + return result + + result['exists'] = True + + # Check if it's a file (not directory) + if not os.path.isfile(file_path): + result['error'] = f"Path is not a file: {file_path}" + return result + + # Get file extension + extension = Path(file_path).suffix.lower() + result['extension'] = extension + + # Check if extension is supported + for doc_type, ext_list in cls.SUPPORTED_EXTENSIONS.items(): + if extension in ext_list: + result['supported'] = True + result['type'] = doc_type + break + + if not result['supported']: + result['error'] = f"Unsupported file extension: {extension}" + return result + + # Get file size + try: + result['size'] = os.path.getsize(file_path) + except Exception as e: + result['error'] = f"Could not read file size: {e}" + return result + + result['valid'] = True + return result + + @classmethod + def find_files_in_folder( + cls, + folder_path: str, + extensions: Optional[List[str]] = None, + recursive: bool = True + ) -> List[str]: + """ + Find all files with specified extensions in a folder + + Args: + folder_path: Path to folder + extensions: List of extensions to include (e.g., ['.pdf', '.docx']) + If None, includes all supported extensions + recursive: Whether to search recursively + + Returns: + List of file paths + """ + if not os.path.exists(folder_path): + logger.error(f"Folder not found: {folder_path}") + return [] + + if not os.path.isdir(folder_path): + logger.error(f"Path is not a folder: {folder_path}") + return [] + + if extensions is None: + extensions = cls.get_all_supported_extensions() + + # Normalize extensions to lowercase + extensions = [ext.lower() if ext.startswith('.') else f'.{ext.lower()}' + for ext in extensions] + + files = [] + + if recursive: + for root, _, filenames in os.walk(folder_path): + for filename in filenames: + if Path(filename).suffix.lower() in extensions: + files.append(os.path.join(root, filename)) + else: + for item in os.listdir(folder_path): + item_path = os.path.join(folder_path, item) + if os.path.isfile(item_path): + if Path(item).suffix.lower() in extensions: + files.append(item_path) + + logger.info(f"Found {len(files)} files in {folder_path}") + return files + + @classmethod + def get_file_info(cls, file_path: str) -> Dict: + """Get detailed file information""" + info = { + 'path': file_path, + 'name': os.path.basename(file_path), + 'directory': os.path.dirname(file_path), + 'exists': os.path.exists(file_path) + } + + if info['exists']: + stat = os.stat(file_path) + info.update({ + 'size': stat.st_size, + 'size_mb': round(stat.st_size / (1024 * 1024), 2), + 'extension': Path(file_path).suffix.lower(), + 'created': stat.st_ctime, + 'modified': stat.st_mtime, + }) + + return info + + @classmethod + def validate_folder(cls, folder_path: str) -> Dict: + """Validate folder and get statistics""" + result = { + 'valid': False, + 'exists': False, + 'is_directory': False, + 'file_count': 0, + 'supported_files': 0, + 'total_size': 0, + 'files_by_type': {}, + 'error': None + } + + if not os.path.exists(folder_path): + result['error'] = f"Folder not found: {folder_path}" + return result + + result['exists'] = True + + if not os.path.isdir(folder_path): + result['error'] = f"Path is not a directory: {folder_path}" + return result + + result['is_directory'] = True + + # Count files + try: + all_extensions = cls.get_all_supported_extensions() + + for root, _, files in os.walk(folder_path): + for file in files: + file_path = os.path.join(root, file) + ext = Path(file).suffix.lower() + + result['file_count'] += 1 + + if ext in all_extensions: + result['supported_files'] += 1 + + # Track by type + if ext not in result['files_by_type']: + result['files_by_type'][ext] = 0 + result['files_by_type'][ext] += 1 + + # Add to total size + try: + result['total_size'] += os.path.getsize(file_path) + except: + pass + + result['valid'] = True + + except Exception as e: + result['error'] = f"Error scanning folder: {e}" + + return result + + @classmethod + def read_text_file(cls, file_path: str) -> Optional[str]: + """Read text from a text file""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + return f.read() + except UnicodeDecodeError: + # Try with different encoding + try: + with open(file_path, 'r', encoding='latin-1') as f: + return f.read() + except Exception as e: + logger.error(f"Failed to read file {file_path}: {e}") + return None + except Exception as e: + logger.error(f"Failed to read file {file_path}: {e}") + return None + + @classmethod + def chunk_text( + cls, + text: str, + chunk_size: int = 1000, + overlap: int = 100 + ) -> List[str]: + """ + Split text into chunks with overlap + + Args: + text: Text to chunk + chunk_size: Maximum chunk size in characters + overlap: Overlap between chunks + + Returns: + List of text chunks + """ + if len(text) <= chunk_size: + return [text] + + chunks = [] + start = 0 + + while start < len(text): + end = start + chunk_size + + # Try to break at sentence boundary + if end < len(text): + # Look for sentence endings + for punct in ['. ', '! ', '? ', '\n\n']: + last_punct = text[start:end].rfind(punct) + if last_punct != -1: + end = start + last_punct + len(punct) + break + + chunks.append(text[start:end].strip()) + start = end - overlap + + return chunks + + @classmethod + def estimate_processing_time(cls, file_path: str) -> Dict: + """ + Estimate processing time for a file + (Very rough estimate based on file size and type) + """ + validation = cls.validate_file(file_path) + + if not validation['valid']: + return { + 'estimated_seconds': 0, + 'error': validation['error'] + } + + size_mb = validation['size'] / (1024 * 1024) + file_type = validation['type'] + + # Rough estimates (seconds per MB) + time_per_mb = { + 'text': 1, + 'pdf': 5, + 'office': 8, + 'image': 3 + } + + base_time = time_per_mb.get(file_type, 5) + estimated_seconds = size_mb * base_time + + return { + 'estimated_seconds': round(estimated_seconds, 1), + 'size_mb': round(size_mb, 2), + 'file_type': file_type + } \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/services/neon_service.py b/examples/lightrag_agent_(developing)/services/neon_service.py new file mode 100644 index 0000000..75974a0 --- /dev/null +++ b/examples/lightrag_agent_(developing)/services/neon_service.py @@ -0,0 +1,193 @@ +""" +Neon API Service for advanced database management +Optional service for creating databases, branches, etc. +""" + +import httpx +from typing import Dict, Optional +from loguru import logger + +from agent.config import LightRAGConfig + + +class NeonAPIService: + """ + Optional service for Neon API operations + Requires NEON_API_KEY and NEON_PROJECT_ID to be set + """ + + def __init__(self, config: LightRAGConfig): + self.config = config + + if not config.neon_api_key or not config.neon_project_id: + logger.warning("⚠️ Neon API credentials not configured") + logger.info(" Advanced database management features will be unavailable") + self.enabled = False + else: + self.enabled = True + self.headers = { + "Authorization": f"Bearer {config.neon_api_key}", + "Content-Type": "application/json", + "Accept": "application/json" + } + self.base_url = "https://console.neon.tech/api/v2" + + async def get_project_info(self) -> Optional[Dict]: + """Get project information""" + if not self.enabled: + return None + + try: + async with httpx.AsyncClient(timeout=30.0) as client: + response = await client.get( + f"{self.base_url}/projects/{self.config.neon_project_id}", + headers=self.headers + ) + + if response.status_code == 200: + return response.json() + else: + logger.error(f"❌ Failed to get project info: {response.text}") + return None + + except Exception as e: + logger.error(f"❌ Error getting project info: {e}") + return None + + async def list_databases(self, branch_id: Optional[str] = None) -> list: + """List databases in a branch""" + if not self.enabled: + return [] + + try: + # If no branch_id, get default branch + if not branch_id: + project = await self.get_project_info() + if not project: + return [] + + branches = project.get("project", {}).get("branches", []) + for branch in branches: + if branch.get("primary") or branch.get("name") == "main": + branch_id = branch["id"] + break + + if not branch_id: + return [] + + async with httpx.AsyncClient(timeout=30.0) as client: + response = await client.get( + f"{self.base_url}/projects/{self.config.neon_project_id}/branches/{branch_id}/databases", + headers=self.headers + ) + + if response.status_code == 200: + data = response.json() + return data.get("databases", []) + + return [] + + except Exception as e: + logger.error(f"❌ Error listing databases: {e}") + return [] + + async def create_database( + self, + database_name: str, + owner_name: str = "neondb_owner", + branch_id: Optional[str] = None + ) -> Optional[Dict]: + """Create a new database""" + if not self.enabled: + logger.warning("⚠️ Cannot create database: Neon API not configured") + return None + + try: + # If no branch_id, get default branch + if not branch_id: + project = await self.get_project_info() + if not project: + return None + + branches = project.get("project", {}).get("branches", []) + for branch in branches: + if branch.get("primary") or branch.get("name") == "main": + branch_id = branch["id"] + break + + if not branch_id: + return None + + async with httpx.AsyncClient(timeout=30.0) as client: + response = await client.post( + f"{self.base_url}/projects/{self.config.neon_project_id}/branches/{branch_id}/databases", + headers=self.headers, + json={ + "database": { + "name": database_name, + "owner_name": owner_name + } + } + ) + + if response.status_code in [200, 201]: + logger.info(f"✅ Created database: {database_name}") + return response.json() + elif response.status_code == 409: + logger.info(f"ℹ️ Database already exists: {database_name}") + return {"database": {"name": database_name}} + else: + logger.error(f"❌ Failed to create database: {response.text}") + return None + + except Exception as e: + logger.error(f"❌ Error creating database: {e}") + return None + + async def get_connection_string( + self, + database_name: str, + branch_id: Optional[str] = None, + pooled: bool = True + ) -> Optional[str]: + """Get connection string for a database""" + if not self.enabled: + return None + + try: + # If no branch_id, get default branch + if not branch_id: + project = await self.get_project_info() + if not project: + return None + + branches = project.get("project", {}).get("branches", []) + for branch in branches: + if branch.get("primary") or branch.get("name") == "main": + branch_id = branch["id"] + break + + if not branch_id: + return None + + async with httpx.AsyncClient(timeout=30.0) as client: + response = await client.get( + f"{self.base_url}/projects/{self.config.neon_project_id}/connection_uri", + headers=self.headers, + params={ + "database_name": database_name, + "branch_id": branch_id, + "role_name": "neondb_owner", + "pooled": str(pooled).lower() + } + ) + + if response.status_code == 200: + data = response.json() + return data.get("uri") + + return None + + except Exception as e: + logger.error(f"❌ Error getting connection string: {e}") + return None \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/services/rag_service.py b/examples/lightrag_agent_(developing)/services/rag_service.py new file mode 100644 index 0000000..3fcbecb --- /dev/null +++ b/examples/lightrag_agent_(developing)/services/rag_service.py @@ -0,0 +1,468 @@ +""" +RAG Service - Core LightRAG and RAG-Anything integration +Handles document processing, insertion, and querying +""" + +import os +import asyncio +from typing import List, Dict, Optional, Any +from pathlib import Path + +from lightrag import LightRAG, QueryParam +from lightrag.llm.openai import openai_complete_if_cache, openai_embed +from lightrag.utils import EmbeddingFunc +from lightrag.kg.shared_storage import initialize_pipeline_status +from raganything import RAGAnything, RAGAnythingConfig + +from loguru import logger + +from agent.config import LightRAGConfig, get_agent_id +from agent.storage import NeonStorageManager + + +class RAGService: + """ + Main RAG service integrating LightRAG and RAG-Anything + """ + + def __init__(self, config: LightRAGConfig, storage_manager: NeonStorageManager): + self.config = config + self.storage_manager = storage_manager + self.agent_id = get_agent_id() + + # Set environment variables + config.set_env_vars() + + # Initialize instances + self._lightrag: Optional[LightRAG] = None + self._raganything: Optional[RAGAnything] = None + self._initialized = False + + async def initialize(self): + """Initialize LightRAG and RAG-Anything""" + if self._initialized: + logger.info("✅ RAG service already initialized") + return + + try: + # Register agent in storage + await self.storage_manager.register_agent( + self.agent_id, + self.config.workspace + ) + + # Create working directory + os.makedirs(self.config.working_dir, exist_ok=True) + os.makedirs(self.config.output_dir, exist_ok=True) + + # Initialize LightRAG + logger.info("🚀 Initializing LightRAG...") + self._lightrag = await self._create_lightrag_instance() + + # Initialize RAG-Anything + logger.info("🚀 Initializing RAG-Anything...") + self._raganything = await self._create_raganything_instance() + + self._initialized = True + logger.info("✅ RAG service initialized successfully") + + except Exception as e: + logger.error(f"❌ Failed to initialize RAG service: {e}") + raise + + async def _create_lightrag_instance(self) -> LightRAG: + """Create and initialize LightRAG instance""" + + # Define LLM function + def llm_model_func( + prompt, + system_prompt=None, + history_messages=[], + **kwargs + ): + return openai_complete_if_cache( + self.config.llm_model, + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=self.config.openai_api_key, + base_url=self.config.openai_base_url, + **kwargs + ) + + # Define embedding function + embedding_func = EmbeddingFunc( + embedding_dim=self.config.embedding_dim, + max_token_size=8192, + func=lambda texts: openai_embed( + texts, + model=self.config.embedding_model, + api_key=self.config.openai_api_key, + base_url=self.config.openai_base_url + ) + ) + + # Create LightRAG instance + rag = LightRAG( + working_dir=self.config.working_dir, + workspace=self.config.workspace, + + # Storage backends + kv_storage=self.config.kv_storage, + vector_storage=self.config.vector_storage, + graph_storage="NetworkXStorage", + doc_status_storage=self.config.doc_status_storage, + + # Vector storage configuration + vector_db_storage_cls_kwargs={ + "embedding_dim": self.config.embedding_dim, + "cosine_better_than_threshold": self.config.cosine_threshold + }, + + # Model functions + llm_model_func=llm_model_func, + embedding_func=embedding_func, + + # Performance settings + llm_model_max_async=self.config.llm_model_max_async, + embedding_func_max_async=self.config.embedding_func_max_async, + embedding_batch_num=self.config.embedding_batch_num, + + # Optional settings + enable_llm_cache=self.config.enable_llm_cache, + ) + + # Initialize storages + await rag.initialize_storages() + await initialize_pipeline_status() + + logger.info("✅ LightRAG instance created") + return rag + + async def _create_raganything_instance(self) -> RAGAnything: + """Create and initialize RAG-Anything instance""" + + # Define vision model function for multimodal processing + def vision_model_func( + prompt, + system_prompt=None, + history_messages=[], + image_data=None, + messages=None, + **kwargs + ): + # If messages format is provided (for multimodal VLM enhanced query) + if messages: + return openai_complete_if_cache( + self.config.vision_model, + "", + system_prompt=None, + history_messages=[], + messages=messages, + api_key=self.config.openai_api_key, + base_url=self.config.openai_base_url, + **kwargs + ) + # Traditional single image format + elif image_data: + return openai_complete_if_cache( + self.config.vision_model, + "", + system_prompt=None, + history_messages=[], + messages=[ + {"role": "system", "content": system_prompt} if system_prompt else None, + { + "role": "user", + "content": [ + {"type": "text", "text": prompt}, + { + "type": "image_url", + "image_url": {"url": f"data:image/jpeg;base64,{image_data}"} + } + ] + } if image_data else {"role": "user", "content": prompt} + ], + api_key=self.config.openai_api_key, + base_url=self.config.openai_base_url, + **kwargs + ) + # Pure text format + else: + return openai_complete_if_cache( + self.config.llm_model, + prompt, + system_prompt=system_prompt, + history_messages=history_messages, + api_key=self.config.openai_api_key, + base_url=self.config.openai_base_url, + **kwargs + ) + + # Create RAG-Anything configuration + rag_config = RAGAnythingConfig( + working_dir=self.config.working_dir, + parser=self.config.parser, + parse_method=self.config.parse_method, + enable_image_processing=self.config.enable_image_processing, + enable_table_processing=self.config.enable_table_processing, + enable_equation_processing=self.config.enable_equation_processing, + ) + + # Create RAG-Anything instance using existing LightRAG + rag_anything = RAGAnything( + lightrag=self._lightrag, + vision_model_func=vision_model_func, + config=rag_config + ) + + logger.info("✅ RAG-Anything instance created") + return rag_anything + + @property + def lightrag(self) -> LightRAG: + """Get LightRAG instance""" + if not self._initialized: + raise RuntimeError("RAG service not initialized. Call initialize() first.") + return self._lightrag + + @property + def raganything(self) -> RAGAnything: + """Get RAG-Anything instance""" + if not self._initialized: + raise RuntimeError("RAG service not initialized. Call initialize() first.") + return self._raganything + + async def insert_documents( + self, + documents: List[str], + document_ids: Optional[List[str]] = None + ) -> Dict[str, Any]: + """Insert text documents into the knowledge base""" + try: + if document_ids: + await self.lightrag.ainsert(documents, ids=document_ids) + else: + await self.lightrag.ainsert(documents) + + # Update stats + await self.storage_manager.update_agent_stats( + self.agent_id, + self.config.workspace, + document_count=len(documents) + ) + + return { + "success": True, + "document_count": len(documents), + "message": f"Successfully inserted {len(documents)} documents" + } + + except Exception as e: + logger.error(f"❌ Failed to insert documents: {e}") + return { + "success": False, + "error": str(e) + } + + async def process_multimodal_document( + self, + file_path: str, + parse_method: Optional[str] = None + ) -> Dict[str, Any]: + """Process a multimodal document (PDF, images, tables, etc.)""" + try: + await self.raganything.process_document_complete( + file_path=file_path, + output_dir=self.config.output_dir, + parse_method=parse_method or self.config.parse_method + ) + + return { + "success": True, + "file_path": file_path, + "message": f"Successfully processed document: {file_path}" + } + + except Exception as e: + logger.error(f"❌ Failed to process document: {e}") + return { + "success": False, + "error": str(e) + } + + async def process_folder( + self, + folder_path: str, + file_extensions: Optional[List[str]] = None, + recursive: bool = True, + max_workers: int = 4 + ) -> Dict[str, Any]: + """Process all documents in a folder""" + try: + await self.raganything.process_folder_complete( + folder_path=folder_path, + output_dir=self.config.output_dir, + file_extensions=file_extensions or [".pdf", ".docx", ".pptx", ".txt"], + recursive=recursive, + max_workers=max_workers + ) + + return { + "success": True, + "folder_path": folder_path, + "message": f"Successfully processed folder: {folder_path}" + } + + except Exception as e: + logger.error(f"❌ Failed to process folder: {e}") + return { + "success": False, + "error": str(e) + } + + async def query( + self, + query: str, + mode: str = "naive", + top_k: Optional[int] = None, + **kwargs + ) -> str: + """Query the knowledge base (non-streaming)""" + try: + params = QueryParam( + mode=mode, + top_k=top_k or self.config.top_k, + chunk_top_k=self.config.chunk_top_k, + max_entity_tokens=0, + max_relation_tokens=0, + max_total_tokens=self.config.max_total_tokens, + enable_rerank=self.config.enable_rerank, + **kwargs + ) + + response = await self.lightrag.aquery(query, param=params) + return response + + except Exception as e: + logger.error(f"❌ Query failed: {e}") + raise + + async def query_stream( + self, + query: str, + mode: str = "naive", + top_k: Optional[int] = None, + **kwargs + ): + """Query the knowledge base (streaming)""" + try: + params = QueryParam( + mode=mode, + stream=True, + top_k=top_k or self.config.top_k, + chunk_top_k=self.config.chunk_top_k, + max_entity_tokens=0, + max_relation_tokens=0, + max_total_tokens=self.config.max_total_tokens, + enable_rerank=self.config.enable_rerank, + **kwargs + ) + + async for chunk in self.lightrag.aquery(query, param=params): + yield chunk + + except Exception as e: + logger.error(f"❌ Streaming query failed: {e}") + raise + + async def query_multimodal( + self, + query: str, + multimodal_content: List[Dict], + mode: str = "hybrid", + **kwargs + ) -> str: + """Query with multimodal content""" + try: + response = await self.raganything.aquery_with_multimodal( + query, + multimodal_content=multimodal_content, + mode=mode, + **kwargs + ) + return response + + except Exception as e: + logger.error(f"❌ Multimodal query failed: {e}") + raise + + async def delete_documents(self, document_ids: List[str]) -> Dict[str, Any]: + """Delete documents by IDs""" + try: + results = [] + for doc_id in document_ids: + await self.lightrag.adelete_by_doc_id(doc_id) + results.append(doc_id) + + return { + "success": True, + "deleted_ids": results, + "count": len(results) + } + + except Exception as e: + logger.error(f"❌ Failed to delete documents: {e}") + return { + "success": False, + "error": str(e) + } + + async def get_stats(self) -> Dict[str, Any]: + """Get agent statistics""" + try: + stats = await self.storage_manager.get_agent_stats( + self.agent_id, + self.config.workspace + ) + + # Add health check + health = await self.storage_manager.health_check() + + return { + "agent_id": self.agent_id, + "workspace": self.config.workspace, + "stats": stats, + "storage_health": health, + "config": { + "embedding_model": self.config.embedding_model, + "llm_model": self.config.llm_model, + "parser": self.config.parser, + "storage_backends": { + "kv": self.config.kv_storage, + "vector": self.config.vector_storage, + "graph": self.config.graph_storage, + "doc_status": self.config.doc_status_storage + } + } + } + + except Exception as e: + logger.error(f"❌ Failed to get stats: {e}") + return { + "error": str(e) + } + + async def cleanup(self): + """Cleanup resources""" + try: + if self._lightrag: + await self._lightrag.finalize_storages() + + if self.storage_manager: + await self.storage_manager.close() + + logger.info("✅ RAG service cleanup complete") + + except Exception as e: + logger.error(f"❌ Cleanup failed: {e}") \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/utils/__init__.py b/examples/lightrag_agent_(developing)/utils/__init__.py new file mode 100644 index 0000000..6d98c29 --- /dev/null +++ b/examples/lightrag_agent_(developing)/utils/__init__.py @@ -0,0 +1,3 @@ +""" +Utilities Module +""" \ No newline at end of file diff --git a/examples/lightrag_agent_(developing)/utils/helpers.py b/examples/lightrag_agent_(developing)/utils/helpers.py new file mode 100644 index 0000000..111a8a1 --- /dev/null +++ b/examples/lightrag_agent_(developing)/utils/helpers.py @@ -0,0 +1,36 @@ +""" +Helper utilities for LightRAG agent +""" + +import os +import json +from typing import Any, Dict +from loguru import logger + + +def format_file_size(size_bytes: int) -> str: + """Format file size in human-readable format""" + for unit in ['B', 'KB', 'MB', 'GB']: + if size_bytes < 1024.0: + return f"{size_bytes:.2f} {unit}" + size_bytes /= 1024.0 + return f"{size_bytes:.2f} TB" + + +def safe_json_loads(json_str: str, default: Any = None) -> Any: + """Safely load JSON with fallback""" + try: + return json.loads(json_str) + except (json.JSONDecodeError, TypeError): + return default + + +def setup_logging(level: str = "INFO"): + """Setup logging configuration""" + logger.remove() + logger.add( + lambda msg: print(msg, end=""), + format="{time:YYYY-MM-DD HH:mm:ss} | {level: <8} | {message}", + level=level, + colorize=True + ) \ No newline at end of file diff --git a/examples/rag_agent/README.md b/examples/rag_agent/README.md new file mode 100644 index 0000000..ba72ce1 --- /dev/null +++ b/examples/rag_agent/README.md @@ -0,0 +1,166 @@ +# RAG Agent SaaS Application + +A full-stack SaaS application for intelligent document querying using RAG (Retrieval-Augmented Generation) with intelligent database routing. + +## Features + +- **PDF Upload**: Upload PDF documents to vector databases (products, support, finance) +- **Query Interface**: Ask questions about uploaded documents +- **Streaming & Non-Streaming**: Support for both streaming and non-streaming query responses +- **Database Statistics**: View statistics about uploaded documents +- **Intelligent Routing**: Automatically routes queries to the appropriate database + +## Architecture + +``` +rag_agent/ +├── agent/ # RunAgent agent implementation +├── backend/ # Flask backend API +│ ├── app.py # Main Flask application +│ └── requirements.txt +├── frontend/ # Frontend web application +│ ├── index.html +│ ├── app.js +│ ├── style.css +│ └── package.json +├── manage_documents.py # Document management utilities +└── README.md +``` + +## Setup Instructions + +### Prerequisites + +- Python 3.8+ +- Node.js 14+ (for frontend) +- Environment variables configured (see below) + +### Backend Setup + +1. Navigate to the backend directory: +```bash +cd backend +``` + +2. Install Python dependencies: +```bash +pip install -r requirements.txt +``` + +3. Set up environment variables: +Create a `.env` file in the `rag_agent` directory (or set environment variables): +```bash +OPENAI_API_KEY=your-openai-api-key +QDRANT_URL=your-qdrant-url +QDRANT_API_KEY=your-qdrant-api-key +RAG_AGENT_ID=your-agent-id # Optional, for local mode +``` + +4. Update the agent ID in `backend/app.py`: + - You can either set the `RAG_AGENT_ID` environment variable + - Or update the default value in `app.py` (line 29) + +5. Start the backend server: +```bash +python app.py +``` + +The backend will run on `http://localhost:5000` + +### Frontend Setup + +1. Navigate to the frontend directory: +```bash +cd frontend +``` + +2. Install Node.js dependencies: +```bash +npm install +``` + +3. Start the frontend server: +```bash +npm run dev +``` + +The frontend will run on `http://localhost:3000` + +## Usage + +### Upload Documents + +1. Open the application in your browser +2. Click on the "📤 Upload Documents" tab +3. Select a PDF file +4. Choose a database type (products, support, or finance) +5. Click "Upload & Process" + +### Query Documents + +1. Click on the "💬 Query Documents" tab +2. Enter your question in the text area +3. Click "Query" for non-streaming response or "Stream Query" for streaming response +4. View the answer and metadata + +### View Statistics + +1. Click on the "📊 Statistics" tab +2. View document counts for each database +3. Click "Refresh" to update statistics + +## API Endpoints + +### Backend API + +- `GET /health` - Health check +- `POST /api/upload` - Upload PDF document +- `POST /api/query` - Query documents (non-streaming) +- `POST /api/query/stream` - Query documents (streaming) +- `GET /api/stats` - Get database statistics +- `GET /api/databases` - Get available database types +- `GET /api/examples` - Get example queries + +## Database Types + +- **products**: Product information, specifications, features +- **support**: Customer support, FAQs, troubleshooting guides +- **finance**: Financial data, revenue, costs, reports + +## Troubleshooting + +### Backend not starting +- Check that all environment variables are set +- Verify that the agent ID is correct +- Ensure all Python dependencies are installed + +### Frontend can't connect to backend +- Verify backend is running on `http://localhost:5000` +- Check browser console for CORS errors +- Update `API_BASE_URL` in `frontend/app.js` if backend is on a different port + +### Upload fails +- Ensure PDF file is under 50MB +- Check that database type is valid +- Verify Qdrant connection is working + +## Development + +### Running in Development Mode + +Backend (Flask debug mode): +```bash +cd backend +python app.py +``` + +Frontend (with hot reload): +```bash +cd frontend +npm run dev +``` + +## License + +This project is part of the RunAgent examples. + diff --git a/examples/rag_agent/agent/agent.py b/examples/rag_agent/agent/agent.py new file mode 100644 index 0000000..907da2e --- /dev/null +++ b/examples/rag_agent/agent/agent.py @@ -0,0 +1,318 @@ +import os +from typing import List, Dict, Any, Literal, Optional, Tuple +from dataclasses import dataclass +import tempfile + +# --- LangChain v0.2+/0.3+ imports --- +from langchain_core.documents import Document +from langchain_core.messages import HumanMessage +from langchain_core.prompts import ChatPromptTemplate +from langchain_core.output_parsers import StrOutputParser +from langchain_core.runnables import RunnablePassthrough + +from langchain_text_splitters import RecursiveCharacterTextSplitter +from langchain_community.document_loaders import PyPDFLoader +from langchain_community.vectorstores import Qdrant +from langchain_community.tools import DuckDuckGoSearchRun +from langchain_openai import OpenAIEmbeddings, ChatOpenAI + +# Qdrant +from qdrant_client import QdrantClient +from qdrant_client.models import Distance, VectorParams + +# Agno (routing agent) +from agno.agent import Agent +from agno.models.openai import OpenAIChat + + +DatabaseType = Literal["products", "support", "finance"] + +@dataclass +class CollectionConfig: + name: str + description: str + collection_name: str + +# Collection configurations +COLLECTIONS: Dict[DatabaseType, CollectionConfig] = { + "products": CollectionConfig( + name="Product Information", + description="Product details, specifications, and features", + collection_name="products_collection" + ), + "support": CollectionConfig( + name="Customer Support & FAQ", + description="Customer support information, frequently asked questions, and guides", + collection_name="support_collection" + ), + "finance": CollectionConfig( + name="Financial Information", + description="Financial data, revenue, costs, and liabilities", + collection_name="finance_collection" + ) +} + + +class RAGRouterAgent: + """RAG Agent with intelligent database routing""" + + def __init__(self): + self.openai_api_key = os.getenv("OPENAI_API_KEY") + self.qdrant_url = os.getenv("QDRANT_URL") + self.qdrant_api_key = os.getenv("QDRANT_API_KEY") + + if not all([self.openai_api_key, self.qdrant_url, self.qdrant_api_key]): + raise ValueError("Missing required environment variables: OPENAI_API_KEY, QDRANT_URL, QDRANT_API_KEY") + + # OpenAI models + self.embeddings = OpenAIEmbeddings( + model="text-embedding-3-small", + api_key=self.openai_api_key + ) + # Pick a concrete model name to avoid defaults changing + self.llm = ChatOpenAI(model="gpt-4o-mini", temperature=0, api_key=self.openai_api_key) + + self.databases: Dict[DatabaseType, Qdrant] = {} + self._initialize_databases() + + def _initialize_databases(self): + """Initialize Qdrant databases (collections)""" + try: + client = QdrantClient( + url=self.qdrant_url, + api_key=self.qdrant_api_key + ) + + # Test connection + client.get_collections() + vector_size = 1536 # text-embedding-3-small dimensionality + + for db_type, config in COLLECTIONS.items(): + try: + client.get_collection(config.collection_name) + except Exception: + # Create collection if it doesn't exist + client.create_collection( + collection_name=config.collection_name, + vectors_config=VectorParams(size=vector_size, distance=Distance.COSINE) + ) + + self.databases[db_type] = Qdrant( + client=client, + collection_name=config.collection_name, + embeddings=self.embeddings + ) + except Exception as e: + raise Exception(f"Failed to initialize Qdrant: {str(e)}") + + def create_routing_agent(self) -> Agent: + """Creates a routing agent using agno framework""" + return Agent( + model=OpenAIChat( + id="gpt-4o-mini", + api_key=self.openai_api_key + ), + tools=[], + description="You are a query routing expert. Analyze questions and determine which database they should be routed to.", + instructions=[ + "Follow these rules strictly:", + "1. For questions about products, features, specifications, or item details → return 'products'", + "2. For questions about help, guidance, troubleshooting, customer service, or FAQ → return 'support'", + "3. For questions about costs, revenue, pricing, financial data, or reports → return 'finance'", + "4. Return ONLY the database name, no other text or explanation", + "5. If you're not confident about the routing, return an empty response" + ], + markdown=False, + show_tool_calls=False + ) + + def route_query(self, question: str) -> Optional[DatabaseType]: + """Route query using vector similarity and LLM fallback""" + try: + best_score = float("-inf") + best_db_type: Optional[DatabaseType] = None + all_scores: Dict[DatabaseType, float] = {} + + # Search each database and compare scores + for db_type, db in self.databases.items(): + results = db.similarity_search_with_score(question, k=3) + if results: + # In LC Qdrant, higher score = closer match (cosine similarity) + avg_score = sum(score for _, score in results) / len(results) + all_scores[db_type] = avg_score + if avg_score > best_score: + best_score = avg_score + best_db_type = db_type + + confidence_threshold = 0.5 + if best_score >= confidence_threshold and best_db_type: + return best_db_type + + # Fallback to LLM routing + routing_agent = self.create_routing_agent() + response = routing_agent.run(question) + + db_type = ( + response.content.strip().lower().translate(str.maketrans('', '', '`\'"')) + ) + + if db_type in COLLECTIONS: + return db_type # type: ignore[return-value] + + return None + + except Exception as e: + print(f"Routing error: {str(e)}") + return None + + def _build_rag_chain(self, retriever): + """Build an LCEL runnable: retrieval → prompt → LLM → parse""" + prompt = ChatPromptTemplate.from_messages([ + ("system", + "You are a helpful assistant. Use ONLY the provided context to answer factually. " + "If the answer isn't in the context, say you don't know."), + ("human", "Question: {question}\n\nContext:\n{context}") + ]) + + def format_docs(docs: List[Document]) -> str: + return "\n\n".join(d.page_content for d in docs) + + return ( + {"context": retriever | format_docs, "question": RunnablePassthrough()} + | prompt + | self.llm + | StrOutputParser() + ) + + def query_database(self, db: Qdrant, question: str) -> Tuple[str, List[Document]]: + """Query the database and return answer and relevant documents""" + try: + # VectorStoreRetriever is a Runnable; call .invoke() to get docs + retriever = db.as_retriever(search_type="similarity", search_kwargs={"k": 4}) + relevant_docs: List[Document] = retriever.invoke(question) + + if not relevant_docs: + raise ValueError("No relevant documents found in database") + + # Build and run the RAG chain (retrieval → prompt → LLM → parse) + rag_chain = self._build_rag_chain(retriever) + answer: str = rag_chain.invoke(question) + return answer, relevant_docs + + except Exception as e: + return f"Error: {str(e)}", [] + + def web_fallback(self, question: str) -> str: + """Fallback to web search when no relevant documents found""" + try: + # Simple: run DDG search and summarize with the LLM + ddg = DuckDuckGoSearchRun(num_results=5) + hits_text = ddg.run(question) + prompt = ChatPromptTemplate.from_messages([ + ("system", "You are a careful researcher. Summarize the findings concisely and cite sources inline if available."), + ("human", "Question: {q}\n\nSearch Results:\n{hits}\n\nWrite a short, factual answer:") + ]) + chain = prompt | self.llm | StrOutputParser() + return chain.invoke({"q": question, "hits": hits_text}) + except Exception: + # Final fallback to general LLM response + return self.llm.invoke(question).content # type: ignore[attr-defined] + + def query(self, question: str) -> Dict[str, Any]: + """Main query function for RunAgent""" + try: + # Route the question + collection_type = self.route_query(question) + + if collection_type is None: + # Use web search fallback + answer = self.web_fallback(question) + return { + "success": True, + "answer": answer, + "source": "web_search", + "database_used": None, + "question": question + } + else: + # Query the routed database + db = self.databases[collection_type] + answer, relevant_docs = self.query_database(db, question) + + return { + "success": True, + "answer": answer, + "source": "database", + "database_used": COLLECTIONS[collection_type].name, + "question": question, + "num_documents": len(relevant_docs) + } + except Exception as e: + return { + "success": False, + "error": str(e), + "question": question + } + + +# RunAgent entrypoint functions +_agent_instance = None + +def get_agent(): + """Get or create agent instance""" + global _agent_instance + if _agent_instance is None: + _agent_instance = RAGRouterAgent() + return _agent_instance + + +def query_rag(question: str) -> Dict[str, Any]: + """ + Query the RAG system with intelligent routing + + Args: + question: The question to ask + + Returns: + Dictionary with answer, source, and metadata + """ + agent = get_agent() + return agent.query(question) + + +# Streaming version for query +async def query_rag_stream(question: str): + """ + Stream the RAG query response + + Args: + question: The question to ask + + Yields: + Chunks of the response + """ + agent = get_agent() + result = agent.query(question) + + # Stream the answer in chunks + if result.get("success"): + answer: str = result["answer"] + chunk_size = 50 + + # First yield metadata + yield { + "type": "metadata", + "source": result["source"], + "database_used": result.get("database_used"), + "question": question + } + + # Stream answer in chunks + for i in range(0, len(answer), chunk_size): + chunk = answer[i:i + chunk_size] + yield {"type": "content", "content": chunk} + + # Final completion signal + yield {"type": "complete", "total_length": len(answer)} + else: + yield {"type": "error", "error": result.get("error", "Unknown error")} diff --git a/examples/rag_agent/agent/requirements.txt b/examples/rag_agent/agent/requirements.txt new file mode 100644 index 0000000..b1a0030 --- /dev/null +++ b/examples/rag_agent/agent/requirements.txt @@ -0,0 +1,11 @@ +langchain +langchain-community +langchain-core +langchain-openai +qdrant-client +pypdf +agno +langgraph +duckduckgo-search +openai +python-dotenv \ No newline at end of file diff --git a/examples/rag_agent/agent/runagent.config.json b/examples/rag_agent/agent/runagent.config.json new file mode 100644 index 0000000..ed6a4c2 --- /dev/null +++ b/examples/rag_agent/agent/runagent.config.json @@ -0,0 +1,32 @@ +{ + "agent_name": "RAG Router Agent", + "description": "Advanced RAG agent with intelligent database routing and web search fallback", + "framework": "agno", + "template": "rag_router", + "version": "1.0.0", + "created_at": "2025-11-04", + "template_source": { + "repo_url": "https://github.com/runagent-dev/runagent.git", + "path": "templates/rag_router", + "author": "runagent" + }, + "agent_architecture": { + "entrypoints": [ + { + "file": "agent.py", + "module": "query_rag", + "tag": "query" + }, + { + "file": "agent.py", + "module": "query_rag_stream", + "tag": "query_stream" + } + ] + }, + "env_vars": { + "OPENAI_API_KEY": "your-openai-api-key", + "QDRANT_URL": "https://e531166d-7d3a-41a5-a330-7b78a2e000cd.us-west-2-0.aws.cloud.qdrant.io:6333", + "QDRANT_API_KEY": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhY2Nlc3MiOiJtIn0.fPMISmabZeHPRXromh2KD7MjIu34ZfpaLZ__862P2hY" + } + } \ No newline at end of file diff --git a/examples/rag_agent/backend/app.py b/examples/rag_agent/backend/app.py new file mode 100644 index 0000000..079f400 --- /dev/null +++ b/examples/rag_agent/backend/app.py @@ -0,0 +1,276 @@ +from flask import Flask, request, jsonify, Response +from flask_cors import CORS +from runagent import RunAgentClient +import os +import json +import tempfile +from werkzeug.utils import secure_filename +from typing import Dict, Any + +# Import DocumentManager from manage_documents +import sys +sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +from manage_documents import DocumentManager, COLLECTIONS + +app = Flask(__name__) +# Configure CORS to allow all origins, methods, and headers +CORS(app, resources={r"/*": {"origins": "*", "methods": ["GET", "POST", "OPTIONS"], "allow_headers": "*"}}) + +# Configuration +UPLOAD_FOLDER = tempfile.gettempdir() +ALLOWED_EXTENSIONS = {'pdf'} +MAX_FILE_SIZE = 50 * 1024 * 1024 # 50MB + +app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER +app.config['MAX_CONTENT_LENGTH'] = MAX_FILE_SIZE + +# Initialize RunAgent clients +# Agent ID can be set via environment variable RAG_AGENT_ID or defaults to local mode +# For local mode, agent_id can be omitted or set to None +agent_id = os.getenv("RAG_AGENT_ID", "08e1a1e2-5931-4931-b3d3-322e91f80eb5") # Update with your agent ID or set via env var + +rag_client = RunAgentClient( + agent_id=agent_id, + entrypoint_tag="query", + local=False +) + +stream_client = RunAgentClient( + agent_id=agent_id, + entrypoint_tag="query_stream", + local=False +) + +# Initialize DocumentManager +document_manager = None + +def get_document_manager(): + """Get or create DocumentManager instance""" + global document_manager + if document_manager is None: + document_manager = DocumentManager() + return document_manager + + +def allowed_file(filename): + """Check if file extension is allowed""" + return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS + + +@app.route('/health', methods=['GET']) +def health(): + """Health check endpoint""" + # Log the request for debugging + print(f"✅ Health check request from: {request.remote_addr}") + print(f" Headers: {dict(request.headers)}") + + return jsonify({ + "status": "healthy", + "agent_id": agent_id, + "mode": "local", + "server_ip": request.host, + "client_ip": request.remote_addr + }) + + +@app.route('/api/upload', methods=['POST']) +def upload_pdf(): + """Upload and process a PDF document""" + try: + if 'file' not in request.files: + return jsonify({"error": "No file provided"}), 400 + + file = request.files['file'] + db_type = request.form.get('db_type', 'products').lower() + + if file.filename == '': + return jsonify({"error": "No file selected"}), 400 + + if not allowed_file(file.filename): + return jsonify({"error": "Only PDF files are allowed"}), 400 + + if db_type not in COLLECTIONS: + return jsonify({ + "error": f"Invalid database type. Must be one of: {list(COLLECTIONS.keys())}" + }), 400 + + # Save file temporarily + filename = secure_filename(file.filename) + temp_path = os.path.join(app.config['UPLOAD_FOLDER'], filename) + file.save(temp_path) + + try: + # Process document using DocumentManager + manager = get_document_manager() + result = manager.add_document(temp_path, db_type) + + if result["success"]: + return jsonify({ + "success": True, + "message": result["message"], + "chunks_added": result["chunks_added"], + "database": result["database"] + }) + else: + return jsonify({"error": result["message"]}), 400 + + finally: + # Clean up temporary file + if os.path.exists(temp_path): + os.remove(temp_path) + + except Exception as e: + return jsonify({"error": str(e)}), 500 + + +@app.route('/api/query', methods=['POST']) +def query_rag(): + """Query the RAG system (non-streaming)""" + try: + data = request.json + question = data.get('question', '').strip() + + if not question: + return jsonify({"error": "Question is required"}), 400 + + # Call the agent + result = rag_client.run(question=question) + + return jsonify(result) + + except Exception as e: + return jsonify({"error": str(e)}), 500 + + +@app.route('/api/query/stream', methods=['POST']) +def query_rag_stream(): + """Query the RAG system (streaming)""" + try: + data = request.json + question = data.get('question', '').strip() + + if not question: + return jsonify({"error": "Question is required"}), 400 + + def generate(): + try: + for chunk in stream_client.run_stream(question=question): + yield f"data: {json.dumps(chunk)}\n\n" + except Exception as e: + yield f"data: {json.dumps({'type': 'error', 'error': str(e)})}\n\n" + + return Response(generate(), mimetype='text/event-stream') + + except Exception as e: + return jsonify({"error": str(e)}), 500 + + +@app.route('/api/stats', methods=['GET']) +def get_stats(): + """Get statistics for all databases""" + try: + manager = get_document_manager() + stats = [] + + for db_type, config in COLLECTIONS.items(): + try: + info = manager.client.get_collection(config["collection_name"]) + stats.append({ + "name": config["name"], + "collection": config["collection_name"], + "documents": info.vectors_count, + "description": config["description"] + }) + except Exception as e: + stats.append({ + "name": config["name"], + "collection": config["collection_name"], + "documents": 0, + "description": config["description"], + "error": str(e) + }) + + return jsonify({"success": True, "stats": stats}) + + except Exception as e: + return jsonify({"error": str(e)}), 500 + + +@app.route('/api/databases', methods=['GET']) +def get_databases(): + """Get available database types""" + databases = [ + { + "id": db_type, + "name": config["name"], + "description": config["description"] + } + for db_type, config in COLLECTIONS.items() + ] + return jsonify({"success": True, "databases": databases}) + + +@app.route('/api/examples', methods=['GET']) +def get_examples(): + """Get example queries""" + examples = [ + { + "name": "Product Information", + "question": "What are the key features of our products?", + "category": "products" + }, + { + "name": "Customer Support", + "question": "How do I troubleshoot common issues?", + "category": "support" + }, + { + "name": "Financial Data", + "question": "What is the revenue breakdown by product category?", + "category": "finance" + }, + { + "name": "General Query", + "question": "What is the pricing strategy for our products?", + "category": "general" + } + ] + return jsonify(examples) + + +# Handle OPTIONS requests for CORS preflight +@app.before_request +def handle_preflight(): + if request.method == "OPTIONS": + print(f"🔍 CORS preflight request from: {request.remote_addr}") + response = Response() + response.headers.add("Access-Control-Allow-Origin", "*") + response.headers.add('Access-Control-Allow-Headers', "*") + response.headers.add('Access-Control-Allow-Methods', "*") + return response + +@app.after_request +def after_request(response): + """Log all requests for debugging""" + print(f"📥 {request.method} {request.path} - {response.status_code} from {request.remote_addr}") + return response + + +if __name__ == '__main__': + import socket + + # Get the local IP address + hostname = socket.gethostname() + local_ip = socket.gethostbyname(hostname) + + print("=" * 60) + print("🚀 RAG Agent Backend Server Starting...") + print(f"📡 Server will run on all interfaces (0.0.0.0)") + print(f"📡 Local access: http://localhost:5000") + print(f"📡 Local IP access: http://{local_ip}:5000") + print(f"📡 Health check: http://0.0.0.0:5000/health") + print("=" * 60) + # Run on all interfaces (0.0.0.0) to allow connections from other devices + # This is necessary for remote access + app.run(debug=True, host='0.0.0.0', port=5000, threaded=True) + diff --git a/examples/rag_agent/backend/requirements.txt b/examples/rag_agent/backend/requirements.txt new file mode 100644 index 0000000..c0d69ed --- /dev/null +++ b/examples/rag_agent/backend/requirements.txt @@ -0,0 +1,16 @@ +flask +flask-cors +werkzeug +runagent +python-dotenv +langchain +langchain-community +langchain-core +langchain-openai +qdrant-client +pypdf +agno +langgraph +duckduckgo-search +openai + diff --git a/examples/rag_agent/frontend/app.js b/examples/rag_agent/frontend/app.js new file mode 100644 index 0000000..95f4b97 --- /dev/null +++ b/examples/rag_agent/frontend/app.js @@ -0,0 +1,639 @@ +// Configuration +// Auto-detect backend URL based on current hostname +// If running on same server, use same hostname; otherwise allow configuration +const getBackendUrl = () => { + const hostname = window.location.hostname; + // If localhost, use localhost for backend + if (hostname === 'localhost' || hostname === '127.0.0.1') { + return 'http://localhost:5000'; + } + // Otherwise use the same hostname with port 5000 + return `http://${hostname}:5000`; +}; + +const API_BASE_URL = getBackendUrl(); +console.log('🔗 Backend URL:', API_BASE_URL); + +// DOM Elements +const queryForm = document.getElementById('queryForm'); +const submitBtn = document.getElementById('submitBtn'); +const streamBtn = document.getElementById('streamBtn'); +const clearBtn = document.getElementById('clearBtn'); +const resultsSection = document.getElementById('resultsSection'); +const answerContent = document.getElementById('answerContent'); +const metadataSection = document.getElementById('metadataSection'); +const metadataContent = document.getElementById('metadataContent'); +const loadingIndicator = document.getElementById('loadingIndicator'); +const examplesContainer = document.getElementById('examplesContainer'); +const questionInput = document.getElementById('question'); + +// Upload elements +const uploadForm = document.getElementById('uploadForm'); +const uploadBtn = document.getElementById('uploadBtn'); +const pdfFileInput = document.getElementById('pdfFile'); +const dbTypeSelect = document.getElementById('dbType'); +const uploadResultsSection = document.getElementById('uploadResultsSection'); +const uploadResultsContent = document.getElementById('uploadResultsContent'); + +// Stats elements +const statsContainer = document.getElementById('statsContainer'); +const refreshStatsBtn = document.getElementById('refreshStatsBtn'); + +// Tab elements +const tabButtons = document.querySelectorAll('.tab-btn'); +const tabContents = document.querySelectorAll('.tab-content'); + +// Tab switching +tabButtons.forEach(btn => { + btn.addEventListener('click', () => { + const targetTab = btn.getAttribute('data-tab'); + + // Update active tab button + tabButtons.forEach(b => b.classList.remove('active')); + btn.classList.add('active'); + + // Update active tab content + tabContents.forEach(content => { + content.style.display = 'none'; + content.classList.remove('active'); + }); + + const targetContent = document.getElementById(`${targetTab}Tab`); + if (targetContent) { + targetContent.style.display = 'block'; + targetContent.classList.add('active'); + } + + // Load data when switching tabs + if (targetTab === 'stats') { + loadStats(); + } else if (targetTab === 'upload') { + // Reload database types when switching to upload tab + if (dbTypeSelect.options.length <= 1 || dbTypeSelect.innerHTML.includes('Loading') || dbTypeSelect.innerHTML.includes('Error')) { + loadDatabaseTypes(); + } + } + }); +}); + +// Markdown to HTML converter (simple version) +function markdownToHtml(markdown) { + if (!markdown) return ''; + + let html = markdown; + + // Headers + html = html.replace(/### (.*$)/gim, '

$1

'); + html = html.replace(/## (.*$)/gim, '

$1

'); + html = html.replace(/# (.*$)/gim, '

$1

'); + + // Bold + html = html.replace(/\*\*(.*?)\*\*/gim, '$1'); + + // Italic + html = html.replace(/\*(.*?)\*/gim, '$1'); + + // Lists + html = html.replace(/^\* (.*$)/gim, '
  • $1
    • '); + html = html.replace(/^\d+\. (.*$)/gim, '
  • $1
    • '); + + // Wrap consecutive
  • in
    • - -
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