feat: add MiniMax LLM provider support#142
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- Add MiniMax LLM provider using OpenAI-compatible Chat Completions API - Support MiniMax-M2.5 and MiniMax-M2.5-highspeed models - Handle temperature constraint (0.0, 1.0] with automatic clamping - Implement structured output via prompt engineering + JSON parsing - Register provider in LLM factory with provider name "minimax" - Add unit tests for MiniMax provider - Update README with MiniMax provider documentation
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to UI model selector - Add minimax to providers list and env hints in frontend - Update test references from M2.5 to M2.7 - Keep all previous models as alternatives Co-Authored-By: Octopus <liyuan851277048@icloud.com>
…default
Address review feedback:
- Use response_format: {"type": "json_object"} for structured output instead
of relying solely on prompt engineering. MiniMax supports this via their
OpenAI-compatible API.
- Only include temperature in API calls when explicitly set by the user,
matching the behavior of the OpenAI and Anthropic providers. Remove the
hardcoded 1.0 default.
- Add null check for response content in both call() and call_async() to raise a clear ValueError instead of surfacing confusing downstream errors when MiniMax returns no content - Add logger.warning when temperature is clamped to (0.01, 1.0] range so users are aware their value was adjusted - Add tests for both changes (4 new test cases) Addresses review feedback from @itsarbit.
…rovider # Conflicts: # README.md
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Resolved merge conflicts from #96 (by @octo-patch) against current main.
Original PR: #96
Changes: MiniMax LLM provider, factory registration, UI dropdown, 26 tests.
Closes #96