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Closes #37007 --- `ChatMistralAI` was POSTing `HumanMessage` content lists verbatim, so canonical `ImageContentBlock` dicts (`{"type": "image", "url"/"base64": ...}`) reached the Mistral API unchanged and were rejected — the API expects OpenAI-shape `{"type": "image_url", "image_url": {"url": "..."}}`. Multimodal inputs failed for both URL and base64 images. ## Changes - Introduce `_format_message_content` in `langchain_mistralai.chat_models`, which delegates to `is_data_content_block` and `convert_to_openai_data_block(api="chat/completions")` from `langchain-core`. Reuses the same translator `langchain-openai` and `langchain-fireworks` (#37090) use, so v0 `source_type` blocks, v1 `url`/`base64` blocks, and `file_id` references are all handled by one canonical path. - Route `HumanMessage` content through `_format_message_content` in `_convert_message_to_mistral_chat_message`. Strings, already-translated `image_url` blocks, and Mistral-specific blocks (`document_url`, `input_audio`) pass through unchanged; the API surfaces an error for anything it doesn't recognize. --------- Co-authored-by: Akash Choudhary <achoudhary@lenovo.com> Co-authored-by: Mason Daugherty <github@mdrxy.com>
langchain-mistralai
Looking for the JS/TS version? Check out LangChain.js.
Quick Install
pip install langchain-mistralai
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.
📕 Releases & Versioning
See our Releases and Versioning policies.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.