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feat: add MiniMax LLM provider with M2.7 default#1118
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Add MiniMax as a new LLM provider for Vanna, enabling users to leverage MiniMax's models (MiniMax-M2.5, MiniMax-M2.5-highspeed) with 204K context windows through their OpenAI-compatible API. Changes: - New integration module at src/vanna/integrations/minimax/ - Implements LlmService interface with streaming and tool support - Handles MiniMax-specific temperature constraints (0.0, 1.0] - Adds minimax optional dependency in pyproject.toml - Includes comprehensive unit tests (15 tests) - Updates README to list MiniMax as a supported LLM provider Co-Authored-By: octo-patch <noreply@github.com>
- Set MiniMax-M2.7 as the new default model (was M2.5) - Update docstrings to reference M2.7 model family - Update unit tests to verify M2.7 default - All previous models remain available as alternatives
octo-patch
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- Add MiniMax-M3 to model list and set as default - Keep MiniMax-M2.7 and MiniMax-M2.7-highspeed - Remove older models (M2.5/M2.1/M2/M1) - Update related tests
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Summary
Changes
MinimaxLlmServiceclass implementingLlmServiceinterfaceMiniMax-M2.7(latest flagship with enhanced reasoning and coding)pip install vanna[minimax]Why
MiniMax-M2.7 is the latest flagship model with enhanced reasoning and coding capabilities. The integration uses the standard OpenAI SDK pointed at MiniMax's compatible endpoint.
Testing