# Error Handling Enhancement Changelog ## Overview Extended the existing `AnthropicException - Overloaded` error handling to support comprehensive error detection and fallback strategies for multiple LLM providers. ## Changes Made ### 1. Enhanced `services/llm.py` **Added:** - `detect_error_and_suggest_fallback()` function (lines 102-175) - Detects specific error types from different LLM providers - Suggests appropriate fallback models based on current model and error type - Returns tuple: (should_fallback, fallback_model, error_type) **Modified:** - `make_llm_api_call()` function (lines 320-340) - Enhanced retry logic to use new error detection function - Better handling of fallback-eligible errors on final retry attempt ### 2. Updated `agentpress/thread_manager.py` **Modified:** - Auto-continue wrapper exception handling (lines 479-495) - Replaced hardcoded `AnthropicException - Overloaded` check - Integrated `detect_error_and_suggest_fallback()` function - Enhanced logging with specific error types - Dynamic fallback model selection **Before:** ```python if ("AnthropicException - Overloaded" in str(e)): logger.error(f"AnthropicException - Overloaded detected - Falling back to OpenRouter: {str(e)}", exc_info=True) llm_model = f"openrouter/{llm_model}" ``` **After:** ```python should_fallback, fallback_model, error_type = detect_error_and_suggest_fallback(e, llm_model) if should_fallback: logger.error(f"{error_type} detected - Falling back to {fallback_model}: {str(e)}", exc_info=True) llm_model = fallback_model ``` ### 3. Updated `agentpress/response_processor.py` **Modified:** - Streaming response processing exception handling (lines 802-820) - Replaced hardcoded `AnthropicException - Overloaded` check - Integrated `detect_error_and_suggest_fallback()` function - Enhanced error logging with specific error types - Improved trace event naming **Before:** ```python if (not "AnthropicException - Overloaded" in str(e)): # Handle non-Anthropic errors else: logger.error(f"AnthropicException - Overloaded detected - Falling back to OpenRouter: {str(e)}", exc_info=True) ``` **After:** ```python should_fallback, fallback_model, error_type = detect_error_and_suggest_fallback(e, llm_model) if not should_fallback: # Handle non-fallback errors else: logger.error(f"{error_type} detected - Falling back to {fallback_model}: {str(e)}", exc_info=True) ``` ### 4. Added Comprehensive Testing **Created:** - `tests/test_error_handling.py` - Comprehensive test suite covering: - All supported error types (15 test cases) - Case insensitivity testing - Model-specific fallback strategies - Edge cases and error conditions **Test Coverage:** - Anthropic-specific errors (overloaded) - OpenRouter-specific errors (connection, rate limit) - OpenAI-specific errors (rate limit, connection, service unavailable) - xAI-specific errors (rate limit, connection) - Generic errors (connection, rate limit, service unavailable) - Unknown error handling - Case insensitivity validation ### 5. Documentation **Created:** - `docs/ERROR_HANDLING.md` - Comprehensive documentation covering: - System overview and architecture - Supported error types and fallback strategies - Implementation details and usage examples - Testing procedures and benefits ## Supported Error Types ### Provider-Specific Errors 1. **Anthropic:** `AnthropicException - Overloaded` 2. **OpenRouter:** Connection/timeout, rate limit errors 3. **OpenAI:** Rate limit, connection, service unavailable errors 4. **xAI:** Rate limit, connection errors ### Generic Error Patterns 1. **Connection/Timeout:** `"connection"`, `"timeout"` 2. **Rate Limiting:** `"rate limit"`, `"quota"` 3. **Service Issues:** `"service unavailable"`, `"internal server error"`, `"bad gateway"` ## Fallback Strategies ### Hierarchical Approach 1. **Provider-Specific:** Use provider-specific fallback models 2. **OpenRouter Migration:** Switch to OpenRouter versions if not already using them 3. **Model Family:** Within OpenRouter, try different models of the same family 4. **No Fallback:** Return `False` if no appropriate fallback is found ### Model Mapping Examples - `anthropic/claude-3-sonnet` → `openrouter/anthropic/claude-sonnet-4` - `gpt-4o` → `openrouter/openai/gpt-4o` - `xai/grok-4` → `openrouter/x-ai/grok-4` - `openrouter/anthropic/claude-3-sonnet` → `openrouter/anthropic/claude-sonnet-4` (for connection issues) ## Benefits 1. **Improved Reliability:** Automatic fallback to alternative models 2. **Better User Experience:** Reduced downtime due to provider issues 3. **Comprehensive Coverage:** Handles multiple error types from different providers 4. **Intelligent Fallbacks:** Context-aware fallback suggestions 5. **Enhanced Logging:** Specific error types for better monitoring 6. **Backward Compatibility:** Maintains existing functionality while extending capabilities ## Testing Results All 15 test cases pass successfully, covering: - ✅ Anthropic overloaded errors - ✅ OpenRouter connection and rate limit errors - ✅ OpenAI rate limit, connection, and service errors - ✅ xAI rate limit and connection errors - ✅ Generic error patterns - ✅ Case insensitivity - ✅ Unknown error handling ## Future Considerations 1. **Configurable Fallbacks:** Allow user configuration of preferred fallback models 2. **Fallback Chains:** Support multiple sequential fallback attempts 3. **Performance Tracking:** Monitor fallback success rates and response times 4. **Health Monitoring:** Proactive provider health assessment 5. **Cost Optimization:** Consider pricing when suggesting fallbacks