feat: add MiniMax AI provider support with M2.7 default model#1802
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octo-patch wants to merge 2 commits intoCodePhiliaX:mainfrom
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feat: add MiniMax AI provider support with M2.7 default model#1802octo-patch wants to merge 2 commits intoCodePhiliaX:mainfrom
octo-patch wants to merge 2 commits intoCodePhiliaX:mainfrom
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March 15, 2026 20:03
Add MiniMax as an AI provider option for SQL generation. MiniMax provides OpenAI-compatible API endpoints, making integration straightforward. Changes: - Backend: Add MiniMax provider with client, stream client, event listener, and response model classes following the existing provider pattern - Backend: Register MiniMax in AiSqlSourceEnum, ChatController dispatch, and ConfigController save/load logic - Frontend: Add MINIMAXAI to AIType enum, display name, and form config with default API host and model settings Supported models: - MiniMax-M2.5 (default) - 204K context window - MiniMax-M2.5-highspeed - Same performance, faster API Documentation: - OpenAI Compatible: https://platform.minimax.io/docs/api-reference/text-openai-api
- Update default model from MiniMax-M2.5 to MiniMax-M2.7 in frontend config and backend stream client - MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities - Users can still manually specify any MiniMax model via the settings UI
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Summary
Add MiniMax as an AI provider option for intelligent SQL generation in Chat2DB. MiniMax offers OpenAI-compatible API endpoints, enabling seamless integration with the existing provider architecture.
Changes
Backend
controller/ai/minimax/):MiniMaxAIClient.java- Singleton factory for client managementMiniMaxAIStreamClient.java- OkHttp-based streaming client with Builder patternMiniMaxAIEventSourceListener.java- SSE event handler for streaming responsesMiniMaxChatCompletions.java- Response model for chat completionsFrontend
MiniMax-M2.7Model Configuration
https://api.minimax.io/v1/chat/completionsMiniMax-M2.7-highspeedfor low-latency scenarios)Why
MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities, making it well-suited for SQL generation tasks.
Testing