Skip to main content

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)

Metadata

Release files for langchain-mistralai 0.0.2.post1

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 0.0.2.post1
File Size Uploaded
langchain_mistralai-0.0.2.post1.tar.gz 5.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.0.2.post1
File Interpreter ABI Platform
langchain_mistralai-0.0.2.post1-py3-none-any.whl Python 3 none any Details

Total release size: 12.0 kB

Release files / langchain_mistralai-0.0.2.post1.tar.gz

Download URL langchain_mistralai-0.0.2.post1.tar.gz
Size 5.7 kB
Tags Source
SHA-256 checksum
How to use checksums
485c9d2483536b9d48edcea54c74b6bd3227f5c3b9422ab7fa61fcfc935d1589
BLAKE2b-256 checksum
How to use checksums
26d4d7b907df10b72e5cbd3ed8c682fa1b399b43b65d5cdf0b3a0bb4baa83d90
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/4.0.2 CPython/3.11.7

Release files / langchain_mistralai-0.0.2.post1-py3-none-any.whl

Download URL langchain_mistralai-0.0.2.post1-py3-none-any.whl
Size 6.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c0005cc94e87f511d8631e67e310ff96091c3e0ee621949aa24cfeb02f02fce3
BLAKE2b-256 checksum
How to use checksums
03be3c7ac306673f7b699199a53e99ad47dc7b8d9f504e0114a2ec124310091e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/4.0.2 CPython/3.11.7

Release history Release notifications | RSS feed

1.1.6

2 release files

1.1.5

2 release files

1.1.4

2 release files

1.1.3

2 release files

1.1.2

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.2.12

2 release files

0.2.10

2 release files

0.2.9

2 release files

0.2.8

2 release files

0.2.7

2 release files

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.12

2 release files

0.1.11

2 release files

0.1.10

2 release files

0.1.9

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

This release

0.0.2.post1 This release

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page