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chore: enrich pyproject.toml files with links to new references, others (#33343)

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Mason Daugherty
2025-10-07 16:17:14 -04:00
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commit cda336295f
37 changed files with 159 additions and 621 deletions
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56
libs/partners/mistralai/README.md
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@@ -1,57 +1,3 @@
# langchain-mistralai
This package contains the LangChain integrations for [MistralAI](https://docs.mistral.ai) through their [mistralai](https://pypi.org/project/mistralai/) SDK.
## Installation
```bash
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.
```bash
export MISTRAL_API_KEY=your-api-key
```
Then initialize
```python
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:
```python
# 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"])`
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/mistralai) for more details.

10
libs/partners/mistralai/pyproject.toml
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@@ -19,9 +19,13 @@ description = "An integration package connecting Mistral and LangChain"
readme = "README.md"
[project.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/mistralai"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-mistralai%3D%3D0%22&expanded=true"
repository = "https://github.com/langchain-ai/langchain"
homepage = "https://docs.langchain.com/oss/python/integrations/providers/mistralai"
repository = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/mistralai"
changelog = "https://github.com/langchain-ai/langchain/releases?q=%22langchain-mistralai%22"
docs = "https://reference.langchain.com/python/integrations/langchain_mistralai/"
twitter = "https://x.com/LangChainAI"
slack = "https://www.langchain.com/join-community"
reddit = "https://www.reddit.com/r/LangChain/"
[dependency-groups]
test = [