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feat: add MiniMax-M2.7 as recommended LLM provider#26

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octo-patch:feat/add-minimax-m2.7-support
Open

feat: add MiniMax-M2.7 as recommended LLM provider#26
octo-patch wants to merge 1 commit into
1sdv:mainfrom
octo-patch:feat/add-minimax-m2.7-support

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Summary

  • Documents MiniMax-M2.7 as a recommended OpenAI-compatible LLM provider
  • Adds a concrete configuration example for MiniMax-M2.7 in backend/.env.example
  • Updates README.md, README_en.md, and README_ja.md to mention MiniMax-M2.7

Why MiniMax-M2.7?

MiniMax-M2.7 supports the OpenAI-compatible API, making it a zero-configuration drop-in. Users only need to set three env vars:

LLM_MODEL_ID=MiniMax-M2.7
LLM_API_KEY=your-minimax-api-key
LLM_BASE_URL=https://api.minimax.io/v1

No code changes are required since the project already uses an OpenAI-compatible client.

Test plan

  • Verified .env.example contains correct MiniMax base URL and model ID
  • Verified README changes in all three language variants (zh/en/ja)
  • Confirmed MiniMax API is OpenAI-compatible

Document MiniMax-M2.7 (OpenAI-compatible) as a supported model option
in the env.example and all README files (zh/en/ja).

- Add MiniMax-M2.7 configuration example in backend/.env.example
- Update README.md, README_en.md, README_ja.md to mention MiniMax-M2.7

Co-Authored-By: Octopus <octo-patch@github.com>
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