feat: add MiniMax as first-class LLM provider#996
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octo-patch wants to merge 1 commit intodataease:mainfrom
Open
feat: add MiniMax as first-class LLM provider#996octo-patch wants to merge 1 commit intodataease:mainfrom
octo-patch wants to merge 1 commit intodataease:mainfrom
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Add MiniMax AI as a built-in LLM supplier alongside existing providers (OpenAI, DeepSeek, Gemini, Kimi, etc.) via OpenAI-compatible API. Changes: - Add MiniMax supplier entry (id=13) in supplier.ts with M2.7, M2.5, M2.5-highspeed models and temperature range [0, 1] - Add MiniMax icon (96x96 PNG) to frontend assets - Add i18n translations for MiniMax in en, zh-CN, ko-KR locales - Add supported LLM providers table to both README files - Add 24 unit tests + 3 integration tests
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Summary
Add MiniMax as a built-in LLM supplier in SQLBot, alongside existing providers like OpenAI, DeepSeek, Gemini, and Kimi.
MiniMax provides an OpenAI-compatible API at
https://api.minimax.io/v1, making it a seamless addition to SQLBot's existing LangChain-based architecture.Changes
frontend/src/entity/supplier.ts): Add MiniMax entry (id=13) with:https://api.minimax.io/v1MiniMax-M2.7,MiniMax-M2.5,MiniMax-M2.5-highspeed[0, 1]with default 0.7How It Works
MiniMax uses the OpenAI-compatible protocol, so it works through the existing
OpenAILLM→BaseChatOpenAIpath inmodel_factory.py. No backend changes are needed — users simply configure MiniMax via the model settings UI.Test Plan
Screenshots
The MiniMax provider appears in the "Select supplier" list alongside existing providers, with its brand icon and pre-configured models.