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 0.2.7

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 0.2.7
File	Size	Uploaded
langchain_mistralai-0.2.7.tar.gz	20.0 kB	Feb 20, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.2.7
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.2.7-py3-none-any.whl 16.0 kB Feb 20, 2025	Python 3	none	any	Details

Total release size: 36.0 kB

Release files / langchain_mistralai-0.2.7.tar.gz

Download URL	langchain_mistralai-0.2.7.tar.gz
Size	20.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`957c99104679a4fa74df28f92de50367bd9d2001572a58c522d6761aa439f04b`
BLAKE2b-256 checksum How to use checksums	`4670938414c1b3a085b6c7c04a722a66f000e01703459a79d0107a6286a3d2ff`
Upload date	Feb 20, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Release files / langchain_mistralai-0.2.7-py3-none-any.whl

Download URL	langchain_mistralai-0.2.7-py3-none-any.whl
Size	16.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2e8fc581f6c798b63a53fb8ec389f6e559027af1f3c01dfa3e228bdc58bafa9c`
BLAKE2b-256 checksum How to use checksums	`4dbbaeb45f005995672b9a5438e7ce521890df70247ee43ec9b17c2c717f8516`
Upload date	Feb 20, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`