feat: add MiniMax as LLM provider for film skill extraction#8
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octo-patch wants to merge 1 commit intoForget-C:mainfrom
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feat: add MiniMax as LLM provider for film skill extraction#8octo-patch wants to merge 1 commit intoForget-C:mainfrom
octo-patch wants to merge 1 commit intoForget-C:mainfrom
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Thank you for your submission. @octo-patch I have updated the code version, the new version is for the model supplier in the database. If convenient, please merge the code and submit again. |
- Add MiniMax chat model provider (OpenAI-compatible interface) - Register MiniMax with default base URL https://api.minimax.io/v1 - Support MiniMax-M2.7 and MiniMax-M2.7-highspeed models - Add MINIMAX_API_KEY environment variable support via existing Provider API - Add unit tests for MiniMax provider registration and model names
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Summary
Add MiniMax as an alternative LLM provider for film skill extraction. MiniMax provides an OpenAI-compatible API, enabling seamless integration via
langchain-openai'sChatOpenAIwith a custombase_url.Changes
Backend (3 files):
config.py: AddMINIMAX_API_KEY,MINIMAX_BASE_URL,MINIMAX_MODEL, andLLM_PROVIDERenv varsdependencies.py: Refactorget_llm()to support provider auto-detection (OpenAI > MiniMax) and explicit selection viaLLM_PROVIDER.env.example: Add MiniMax configuration section with documentationFrontend (2 files):
constants.ts: AddPROVIDER_PRESETSwith Base URL and description for OpenAI, MiniMax, 火山引擎, 阿里百炼ProvidersTab.tsx: Auto-populate Base URL and description when selecting a preset providerTests (2 files):
test_llm_provider.py: 18 unit tests + 2 integration tests for provider resolution, config defaults, error handling, and real MiniMax API callstest_skills_integration.py: Update real LLM integration tests to supportMINIMAX_API_KEYUsage
Set in
.env:Or explicitly select the provider:
Test Plan
pytest tests/test_llm_provider.py -k "not Integration")MINIMAX_API_KEY=... pytest tests/test_llm_provider.py -m integration)