jxxghp afcc071d07 feat: optimize tool selection middleware to cache and reuse tool selection per agent run ...

- Refactor MoviePilotToolSelectorMiddleware to perform tool selection once per agent execution and cache the result in state, avoiding redundant LLM calls for each model round.
- Add abefore_agent to select tools at the start of agent execution and store selected tool names in state.
- Update awrap_model_call to reuse cached tool selection from state for subsequent model calls.
- Enhance test coverage for tool selection caching and reuse logic.
- Improve error logging in skill version extraction.

2026-04-30 18:29:54 +08:00

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callback

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defaults

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llm

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memory

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middleware

feat: optimize tool selection middleware to cache and reuse tool selection per agent run

2026-04-30 18:29:54 +08:00

prompt

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tools

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__init__.py

feat: optimize tool selection middleware to cache and reuse tool selection per agent run

2026-04-30 18:29:54 +08:00

runtime.py

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