Improve evaluation harness: concurrent execution, robust error handling, and CLI model configuration

[jsham042]

Summary

Improves the RCA-Agent evaluation harness with concurrent execution, robust error handling, CLI-driven model
configuration, and run resumability.

Changes

Evaluation Runner (run_agent_standard.py)

• Concurrent execution: Add --workers N flag for parallel query evaluation via multiprocessing.Pool
• Run resumability: Detect already-completed queries and skip them on restart, re-tallying existing scores
• CLI model overrides: Add --source, --model, --api_key, --api_base, and --profile flags so model
  configuration no longer requires editing YAML files
• Profile system: Add --profile flag to load named configurations from api_profiles.yaml (e.g., --profile anthropic-sonnet)

API Router (api_router.py)

• Anthropic streaming: Switch from blocking .create() to messages.stream() for Anthropic calls
• Anthropic system messages: Properly extract system messages into the system parameter instead of passing as a
  message
• Google GenAI SDK update: Migrate from deprecated google.generativeai to google.genai client with
  types.Content/types.Part API
• Retry robustness: Increase max retries from 3 to 60 with exponential backoff (capped at 30s), differentiate
  rate-limit vs quota-exhaustion vs connection errors

Controller (controller.py)

• JSON parsing resilience: Replace strict re.search(r"```json\n(.*)\n```") with flexible fallback patterns that
  handle varied whitespace and formatting from different models
• Null response handling: Guard against None API responses with graceful recovery instead of crashes

Configuration

• API profiles: Add api_profiles.example.yaml with profile templates for Anthropic, OpenAI, and Google models
• Gitignore: Exclude api_config.yaml, api_profiles.yaml, and submission/ from version control

Security

• No API keys or credentials are included in this PR
• Credentials files are gitignored; only .example templates with placeholder values are committed

Testing

Changes were validated by running the full OpenRCA benchmark across multiple model providers.

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