langchain-mistralai
An integration package connecting Mistral and LangChain
Decision gist · record as of 2026-08-14
Yes, if you are already using LangChain and want to integrate Mistral models. The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. Install it when you need Mistral as your LLM provider within a LangChain application; skip it if you are not using LangChain or do not need Mistral specifically.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Mistral API key and Python 3.10 or later.
- Low friction install with a pure-Python wheel.
- Active maintenance with a recent release 40 days ago; the parent LangChain project has substantial community engagement (144266 stars) and ongoing development.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-07-05 (40 days) · last repo commit 2026-08-14 · 144,266 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,319,121 downloads/mo, #4,065 on PyPI
Alternatives
Verify before relying
pip install langchain-mistralai
from langchain_mistralai import ChatMistralAI
model = ChatMistralAI(api_key="your-key")
response = model.invoke("Hello")- Whether the package supports streaming responses or only synchronous calls.
- Which Mistral models are available through this integration and their current availability.
- Whether tool-calling or function-calling features are supported.
What it is and what it does
langchain-mistralai is a bridge package that integrates Mistral AI's language models into the LangChain ecosystem. It wraps Mistral's API behind LangChain's standard model interfaces, so you can drop Mistral models into existing LangChain agents, chains, and workflows without rewriting integration code. The package depends on langchain-core for the base interfaces, httpx and httpx-sse for HTTP communication with Mistral's servers, pydantic for configuration validation, and tokenizers for token counting.
It's designed for developers already working within LangChain who want to experiment with or deploy Mistral models as their LLM backbone. The integration is maintained as part of the larger LangChain project and follows its release and versioning policies. You provide your Mistral API credentials, instantiate a model class, and use it like any other LangChain LLM—no special Mistral-specific code needed in your application logic.
Use it for
- Build a LangChain agent that uses Mistral models instead of OpenAI or Anthropic.
- Swap Mistral into an existing LangChain RAG pipeline without rewriting the retrieval or chain logic.
- Prototype multi-model applications by comparing Mistral outputs alongside other providers in the same LangChain workflow.
- Deploy a production chatbot using LangChain's memory and tool-calling features backed by Mistral's API.
- Integrate Mistral models into a LangChain-based data analysis or summarization pipeline.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using LangChain and want to integrate Mistral models.
The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. Install it when you need Mistral as your LLM provider within a LangChain application; skip it if you are not using LangChain or do not need Mistral specifically.
Install
langchain-mistralai on PyPI
Before you install
Low friction install with a pure-Python wheel. Active maintenance with a recent release 40 days ago; the parent LangChain project has substantial community engagement (144266 stars) and ongoing development.
Requires a valid Mistral API key and Python 3.10 or later.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install langchain-mistralai
from langchain_mistralai import ChatMistralAI
model = ChatMistralAI(api_key="your-key")
response = model.invoke("Hello")Verify before relying
- Whether the package supports streaming responses or only synchronous calls.
- Which Mistral models are available through this integration and their current availability.
- Whether tool-calling or function-calling features are supported.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0.0,>=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packageshttpx-ssehttpxlangchain-corepydantictokenizers |
| Maintenance | Actively maintained 40 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,319,121 / month, #4,065 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: langchain_mistralai-1.1.6-py3-none-any.whl
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See also langchain-ollama · langchain-openai · langchain-xai · langchain-anthropic · langchain-perplexity · langchain-fireworks · langchain-modal · langchain-deepseek · langchain-openrouter · langchain-aws