feat: add MiniMax as LLM provider with M3 as default model#247
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feat: add MiniMax as LLM provider with M3 as default model#247octo-patch wants to merge 3 commits into
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…work MiniMax offers OpenAI-compatible LLM APIs with models like MiniMax-M2.5 (204K context). This commit adds MiniMax support in three areas: - New minimax provider in qwen-agent LLM registry with auto-detection for model names containing "minimax" - Fallback to MINIMAX_API_KEY in tool_visit.py for page summarization - Configuration examples in .env.example and README documentation
- Set MiniMax-M2.7 as default model (was M2.5) - Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to model documentation - Keep all previous models (M2.5, M2.5-highspeed) as alternatives - Update tool_visit.py, minimax.py provider, README, and .env.example
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Summary
Add MiniMax as an LLM provider for the summary model and qwen-agent framework, with the latest MiniMax-M3 as the default model. MiniMax-M2.7 is preserved for backward compatibility; earlier M2.5 / M2.5-highspeed entries have been removed.
Changes
TextChatAtMiniMax) in the qwen-agent framework with auto-detection by model nameMINIMAX_API_KEYfallback intool_visit.pyfor page summarization (default fallback model:MiniMax-M3).env.examplewith MiniMax configurationWhy
MiniMax-M3 is the latest flagship model with 512K context length and 128K max output, well-suited for long document summarization tasks. Existing users of MiniMax-M2.7 remain supported without code changes.
Testing
TextChatAtOAI(OpenAI-compatible), minimal riskMiniMax-M3is the default model inminimax.pyandtool_visit.py;MiniMax-M2.5andMiniMax-M2.5-highspeedreferences removed