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:

# For async...
await chat.ainvoke(messages)

# For streaming...
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.model = 'mistral-embed'

Simple query

res_query = embedding.embed_query("The test information")

Documents

res_document = embedding.embed_documents(["test1", "another test"])

Metadata

Release files for langchain-mistralai 0.2.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for langchain-mistralai 0.2.8
File	Size	Uploaded
langchain_mistralai-0.2.8.tar.gz	20.5 kB	Mar 13, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.2.8
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.2.8-py3-none-any.whl 16.3 kB Mar 13, 2025	Python 3	none	any	Details

Total release size: 36.8 kB

Release files / langchain_mistralai-0.2.8.tar.gz

Download URL	langchain_mistralai-0.2.8.tar.gz
Size	20.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`fbeee35d559999fb28fd831683602706b6ba49a4ee5235d4e292dce01f40a700`
BLAKE2b-256 checksum How to use checksums	`44de9233ac417fc75362d37e8893e842672e53fbac5d90727145c88707572542`
Upload date	Mar 13, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Release files / langchain_mistralai-0.2.8-py3-none-any.whl

Download URL	langchain_mistralai-0.2.8-py3-none-any.whl
Size	16.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2d081b1a22d4588508c737492c62713ece14646d02168ebe06ca1060866a9318`
BLAKE2b-256 checksum How to use checksums	`a2709b100cb15698afaf2e009b17d9531096d88dce4ea7fd3b2b072e6dd04699`
Upload date	Mar 13, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`