feat(core): implement cache execution fallback to AI planning #1685
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close #1640 |
…ext and error handling
…ext and improved error handling
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Pull request overview
This PR implements a cache execution fallback mechanism that gracefully handles failures when executing cached YAML workflows. When a cached workflow fails, the system now automatically falls back to AI planning with detailed failure context, enabling smarter retry strategies.
Key Changes:
- Added fallback logic to catch cache execution errors and retry with AI planning
- Implemented detailed execution context tracking with completed, failed, and pending task information
- Enhanced error messages with structured failure context for better AI decision-making
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 6 comments.
| File | Description |
|---|---|
| packages/core/tests/unit-test/agent-cache-fallback.test.ts | New comprehensive test suite covering cache fallback scenarios, context propagation, and edge cases |
| packages/core/src/yaml/player.ts | Added buildFailureContext() method to generate structured failure information for AI fallback |
| packages/core/src/yaml.ts | Extended ScriptPlayerTaskStatus interface with index field for task position tracking |
| packages/core/src/agent/agent.ts | Implemented try-catch around cached workflow execution with context-aware fallback to AI planning |
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…fter successful execution
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