feat: add MiniMax as a built-in LLM provider (default M3)#158
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octo-patch wants to merge 3 commits into
Open
feat: add MiniMax as a built-in LLM provider (default M3)#158octo-patch wants to merge 3 commits into
octo-patch wants to merge 3 commits into
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Add MiniMax (https://www.minimaxi.com) as a new provider option alongside OpenAI and Fireworks. MiniMax offers the MiniMax-M2.5 model with up to 204K token context, making it well-suited for deep research tasks. The integration uses the existing @ai-sdk/openai package since MiniMax provides an OpenAI-compatible API, so no additional dependencies are needed. To use MiniMax, simply set the MINIMAX_API_KEY environment variable.
- Update default model from MiniMax-M2.5 to MiniMax-M2.7 - Update README documentation to reference M2.7 and M2.7-highspeed - Users can still override via MINIMAX_MODEL env var
- Set MiniMax-M3 as the default model - Keep MiniMax-M2.7 available via MINIMAX_MODEL env var - Update README to mention M3's 512K context window and image input support
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Summary
Add MiniMax as a built-in LLM provider for deep-research, and set MiniMax-M3 as the default model.
Changes
@ai-sdk/openai(OpenAI-compatible API)MINIMAX_MODELenv var)MINIMAX_API_KEYis setWhy
MiniMax-M3 is the latest flagship model, offering a 512K token context window, up to 128K max output, and image input support.
Testing