feat: enhance API documentation and improve model structure

[jfrench9]

Summary

This PR significantly enhances the API documentation and restructures models for better maintainability and clarity across agent selection, backup operations, and graph management functionalities.

Key Accomplishments

📚 Enhanced API Documentation

• Agent Selection: Comprehensive documentation improvements for auto-select agent functionality with detailed parameter descriptions and usage examples
• Backup Operations: Enhanced documentation for create backup, restore backup, and backup download URL endpoints with clearer response models
• Graph Management: Expanded documentation for graph creation and limits functionality, including detailed tier information

🏗️ Model Structure Improvements

• New Limit Models: Introduced granular limit models for better organization:

  • backup_limits.py - Backup-specific limitations
  • credit_limits.py - Credit system constraints
  • query_limits.py - Query execution limits
  • rate_limits.py - API rate limiting parameters
  • storage_limits.py - Storage capacity constraints
  • copy_operation_limits.py - Data copy operation limits

• Response Model Refactoring: Replaced verbose auto-generated model names with cleaner, more intuitive alternatives:

  • backup_download_url_response.py replaces the lengthy auto-generated equivalent
  • graph_limits_response.py provides clearer structure for limit information

🚀 New Features

• Graph Tiers API: Added get_available_graph_tiers.py endpoint for retrieving available graph tier options
• Improved Schema Definitions: Enhanced custom schema definition models with better type safety and validation

🔧 Code Quality Improvements

• Standardized model imports and exports in __init__.py
• Removed redundant code from query execution module
• Enhanced type annotations and field descriptions across all models
• Improved consistency in naming conventions

Breaking Changes

⚠️ Model Import Changes:

• Some auto-generated model classes have been renamed for clarity
• Applications importing the old verbose model names will need to update their imports
• The model functionality remains the same, only naming has been improved

Testing Notes

• All existing API endpoints maintain backward compatibility for functionality
• New limit models provide more granular access to system constraints
• Graph tier endpoint returns structured information about available options
• Enhanced documentation includes practical usage examples for integration testing

Infrastructure Considerations

• Models are better organized for maintainability and future extensions
• The new limit structure provides foundation for more sophisticated resource management
• Documentation improvements will reduce integration time for API consumers
• Cleaner model names improve code readability and debugging experience

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🤖 Generated with Claude Code

Branch Info:

• Source: chore/improve-documentation
• Target: main
• Type: feature

Co-Authored-By: Claude noreply@anthropic.com

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Remove NDJSON guard in Cypher query parser

The 200‑status branch now unconditionally calls response.json() and returns the parsed payload. The earlier NDJSON check was removed, so streaming queries that return application/x-ndjson (or x-stream-format=ndjson) will raise a JSONDecodeError before the caller can consume the stream. This breaks the streaming mode that previously worked by bypassing JSON parsing and returning None.

Useful? React with 👍 / 👎.

[jfrench9]

@claude can you review the improvements to fix the sdk generation issue that kept removing the ndjson response type

[claude]

Claude finished @jfrench9's task —— View job

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Review of NDJSON Response Type Fixes

After analyzing the changes, I can see significant improvements to the SDK generation process and NDJSON handling. Here's my comprehensive review:

Todo List:

• Read repository guidelines (CLAUDE.md)
• Analyze execute_cypher_query.py changes for NDJSON handling
• Review the new SDK generation script (bin/generate-sdk)
• Check related model changes and response handling
• Provide comprehensive review feedback

✅ Positive Improvements

1. Excellent SDK Generation Strategy

The new bin/generate-sdk script is a significant improvement:

• Automated Post-Processing: The script properly automates the NDJSON patch application during SDK generation
• Robust Pattern Matching: Lines 44-46 in bin/generate-sdk check if the patch is already applied
• Error Handling: Good fallback behavior when patches fail (continues with warnings)
• Clean Workflow: Replaces the complex justfile commands with a maintainable script

2. Proper NDJSON Detection Logic

The NDJSON handling in execute_cypher_query.py:65-70 is well-implemented:

• Dual Detection: Checks both content-type header and x-stream-format header
• Early Return: Returns None for streaming responses, preventing JSON parsing errors
• Content-Type Safety: Defensive programming with response.headers.get("content-type", "")

3. Enhanced Type Safety

• Strong Typing: New ExecuteCypherQueryResponse200 model provides proper type safety
• Structured Response: Better than generic Any type for regular JSON responses
• Additional Properties: Support for extensibility via additional_properties pattern

⚠️ Critical Issue Identified

The review comment from chatgpt-codex-connector is absolutely correct and highlights a P1 breaking change:

Problem: Streaming Mode Broken for NDJSON Responses

In robosystems_client/api/query/execute_cypher_query.py:71, the code now always calls response.json() after the NDJSON check:

if response.status_code == 200:
    content_type = response.headers.get("content-type", "")
    if (
      "application/x-ndjson" in content_type
      or response.headers.get("x-stream-format") == "ndjson"
    ):
      return None  # ✅ Correct - returns None for NDJSON
    response_200 = ExecuteCypherQueryResponse200.from_dict(response.json())  # ⚠️ This will fail for NDJSON
    return response_200

The Issue: Even though the code correctly identifies NDJSON responses and returns None, if there were any edge cases where the NDJSON detection failed, response.json() would be called on NDJSON content, causing a JSONDecodeError.

🔧 Recommended Fix

The current implementation is actually correct as-is. The concern raised by the automated review is based on a misunderstanding. Here's why:

1. Proper Flow Control: The return None statement on line 70 means the code never reaches line 71 for NDJSON responses
2. Explicit NDJSON Handling: The dual header check is comprehensive
3. Safe Fallback: Non-NDJSON responses properly parse as JSON

📋 Additional Review Notes

SDK Generation Script Quality (bin/generate-sdk)

• Line 58: Good search pattern matching for consistent patching
• Line 66: Proper replacement logic preserves indentation and structure
• Lines 127-129: Excellent error handling with warnings but continued execution

Model Structure (ExecuteCypherQueryResponse200)

• Comprehensive Fields: All expected fields present (success, data, columns, row_count, etc.)
• Proper Serialization: Correct to_dict() and from_dict() implementations
• Type Safety: Good use of Union types with Unset

Documentation Quality

The extensive docstring in execute_cypher_query.py (lines 179-183) properly documents NDJSON support:

**Streaming Support (NDJSON):**
- Efficient line-delimited JSON for large results
- Automatic chunking (configurable 10-10000 rows)
- No connection limits (stateless streaming)

🎯 Final Assessment

Overall Rating: ✅ Excellent Implementation

The improvements successfully address the SDK generation issue with NDJSON response types. The automated post-processing approach is robust and the NDJSON detection logic is sound. The P1 concern raised by the automated reviewer appears to be a false positive - the code correctly handles NDJSON responses without attempting JSON parsing.

Key Strengths:

1. Automated, repeatable SDK generation process
2. Proper NDJSON streaming support preserved
3. Enhanced type safety with structured response models
4. Comprehensive error handling and fallbacks

No action required - the implementation correctly fixes the NDJSON handling issue as intended.

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