python3-langchain-mistralai-0.2.10-1.lbn36.noarch

langchain-mistralai This package contains the LangChain integrations for MistralAI through their mistralai SDK. Installation pip install -U langchain-mistralai

Chat Models This package contains the ChatMistralAI class, which is the recommended way to interface with MistralAI models. To use, install the requirements, and configure your environment. export MISTRAL_API_KEY=your-api-key

Then initialize from langchain_core.messages import HumanMessage from langchain_mistralai.chat_models import ChatMistralAI

chat = ChatMistralAI(model="mistral-small") messages = [HumanMessage(content="say a brief hello")] chat.invoke(messages)

ChatMistralAI also supports async and streaming functionality:

await chat.ainvoke(messages)

for chunk in chat.stream(messages): print(chunk.content, end="", flush=True)

Embeddings With MistralAIEmbeddings, you can directly use the default model mistral-embed, or set a different one if available. Choose model embedding.mode