- Increase max_retries to 10 for all LLM providers (was 2-3)
- OpenAI: Use built-in retry with exponential backoff, jitter, Retry-After header support
- Anthropic: Use built-in retry with intelligent error classification
- Groq: Use built-in retry with capacity exceeded handling (498 errors)
- Google: Implement custom retry logic with pattern-based error detection
- Azure: Inherits improved retry from OpenAI base class
Benefits:
- More resilient to temporary API issues during automation
- Leverages provider SDKs' optimized retry logic
- Reduces custom retry code maintenance burden
- Automatically handles provider-specific error patterns
All providers now retry rate limits, server errors, and connection issues
while skipping authentication errors and bad requests.
Magnus Müller