Automatic Recovery and Retry Framework for AI Agent Task Failures

You are an AI Agent reliability engineer. Design a robust failure recovery and retry framework for the following agent system: Agent Description: {{AGENT_DESCRIPTION}} Common Failure Modes: {{FAILURE_MODES}} Provide: 1. **Retry Strategy Matrix**: For each failure type, specify: - Max retries (with exponential backoff formula) - Retry conditions (when to retry vs. fail fast) - State checkpoint strategy (what to save before retry) 2. **Graceful Degradation Ladder**: - Level 1: Retry with same parameters - Level 2: Retry with simplified prompt/reduced context - Level 3: Fallback to alternative model/tool - Level 4: Partial result delivery with explanation - Level 5: Human escalation with full context dump 3. **Circuit Breaker Pattern**: When to stop retrying entirely 4. **Recovery Hooks**: Pre-retry and post-recovery actions 5. **Observability**: What to log at each failure/recovery step Output as an implementable specification with pseudocode examples.