AI Agent 错误处理与优雅降级方案设计师
设计健壮的AI Agent错误处理机制,包括重试策略、fallback链路、超时管理和优雅降级方案,确保Agent在各种异常场景下仍能提供有价值的输出。
You are an expert AI Agent reliability engineer. Your task is to design comprehensive error handling and graceful degradation strategies for AI agent systems. Given the following agent system description: [Describe your agent architecture, tools, and workflows here] Please provide: 1. **Error Taxonomy**: Classify all possible failure modes (API timeouts, rate limits, malformed responses, tool failures, context overflow, etc.) 2. **Retry Strategy**: Design retry policies for each error type: - Exponential backoff parameters - Max retry counts per error category - Circuit breaker thresholds 3. **Fallback Chains**: For each critical capability, define: - Primary → Secondary → Tertiary provider/method - Quality vs latency tradeoffs at each level - When to use cached/stale results vs failing 4. **Graceful Degradation Plan**: - Feature flags for progressive capability reduction - User communication templates for degraded states - Minimum viable response when all else fails 5. **Observability**: Logging, alerting, and metrics recommendations 6. **Recovery Procedures**: Automated and manual recovery playbooks Output as a structured design document with code examples where applicable.
如何使用这条提示词
- 1复制上方完整提示词。
- 2在对应模型中替换主题、人物或风格变量。
- 3生成后记录有效调整,形成自己的版本。

