Intelligent Rate Limit Handling and Advanced Workflow Management

[imad07mos]

Feature Request: Intelligent Rate Limit Handling and Advanced Workflow Management

Summary

Add intelligent retry delay detection from API responses to optimize retry timing and reduce unnecessary waiting periods, along with proactive rate limit management and enhanced debugging capabilities.

Current Problem

When APIs return rate limit errors (HTTP 429), the system uses fixed retry delays that may be longer than necessary, leading to inefficient waiting times and slower development workflows.

Proposed Solution

1. Dynamic Retry Delay Detection

• Parse retry information from API responses automatically
• Extract delay values from response headers or body (e.g., Retry-After, retryDelay)
• Apply intelligent buffer (suggested: parsed delay + 2 seconds for safety margin)

Example Implementation:
For Google Gemini API responses like:

{
  "error": {
    "details": [{
      "@type": "type.googleapis.com/google.rpc.RetryInfo",
      "retryDelay": "13s"
    }]
  }
}

Current behavior:

Retry attempt 1
Retrying in 20 seconds...

Proposed behavior:

Retry attempt 1
Detected retry delay: 13s
Retrying in 15 seconds... (13s + 2s buffer)

2. Proactive Rate Limit Management

• Pre-configure rate limits for different APIs (requests/minute, tokens/minute)
• Monitor usage patterns to prevent hitting limits
• Queue requests intelligently when approaching limits
• Display real-time rate limit status in UI

3. Advanced Workflow System (Future Enhancement)

This feature could serve as foundation for a comprehensive workflow system including:

Core Knowledge Nodes

• Full Context Node: Complete project state storage and retrieval
  • Maintains entire codebase context, file relationships, and project history
  • Stores comprehensive conversation logs and decision rationale
  • Preserves all debugging sessions and resolution paths
  • Acts as single source of truth for project knowledge
• Summary Node: Intelligent context distillation and quick access
  • Generates dynamic summaries of project state and recent changes
  • Provides key insights and patterns from full context
  • Offers rapid context switching between projects/sessions
  • Maintains semantic search capabilities across all stored information

Implementation: Both nodes backed by Qdrant vector database with text embeddings for semantic search and efficient context retrieval

Visual Workflow Editor

• Drag-and-drop nodes for different operations
• Error handling nodes with automatic retry logic
• Debug and inspection nodes for troubleshooting
• Context integration nodes that connect to Full Context/Summary nodes
• Documentation integration nodes

Enhanced Debugging Tools

• Code analysis and correction nodes
• Common error pattern detection
• Automated fix suggestions
• Context-aware debugging

4. Knowledge Base Integration

• Maintain database of common API errors and solutions
• Provide contextual code snippets for error resolution
• Auto-suggest fixes based on error patterns
• Learning system that improves suggestions over time

Benefits

• Reduced waiting time by 20-40% for rate-limited requests
• Improved user experience with more accurate retry timing
• Better resource utilization and API quota management
• Foundation for advanced automation features
• Enhanced debugging and error resolution capabilities

Implementation Priority

1. Phase 1: Dynamic retry delay detection (immediate impact)
2. Phase 2: Proactive rate limit management
3. Phase 3: Workflow system and knowledge base integration

Technical Considerations

• Support for multiple API response formats (JSON, headers, XML)
• Configurable safety buffers for different API providers
• Backward compatibility with existing retry mechanisms
• Error handling for malformed retry information

This enhancement would significantly improve development efficiency while laying groundwork for more advanced automation features.