> ## Documentation Index
> Fetch the complete documentation index at: https://nvd-54.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# ChatMistralAI 集成

> 使用 LangChain Python 集成 ChatMistralAI 聊天模型。

本指南将帮助您开始使用 Mistral [聊天模型](/oss/python/langchain/models). 有关所有 `ChatMistralAI` 功能和配置的详细文档，请前往 [API reference](https://reference.langchain.com/python/langchain-mistralai/chat_models/ChatMistralAI). The `ChatMistralAI` class is built on top of the [Mistral API](https://docs.mistral.ai/api/). 有关 Mistral, 查看 [this page](https://docs.mistral.ai/getting-started/models/).

## 概述

### 集成详情

| 类                                                                                                       | 包                                                                                   | 可序列化 | [JS 支持](https://js.langchain.com/docs/integrations/chat/mistral) |                                                  下载量                                                 |                                                 版本                                                |
| :------------------------------------------------------------------------------------------------------ | :---------------------------------------------------------------------------------- | :--: | :--------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------: |
| [`ChatMistralAI`](https://reference.langchain.com/python/langchain-mistralai/chat_models/ChatMistralAI) | [`langchain-mistralai`](https://reference.langchain.com/python/langchain-mistralai) | beta |                                 ✅                                | ![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain_mistralai?style=flat-square\&label=%20) | ![PyPI - Version](https://img.shields.io/pypi/v/langchain_mistralai?style=flat-square\&label=%20) |

### 模型功能

| [Tool calling](/oss/python/langchain/tools) | [Structured output](/oss/python/langchain/structured-output) | [Image input](/oss/python/langchain/messages#multimodal) | 音频输入 | 视频输入 | [Token-level streaming](/oss/python/langchain/streaming/) | 原生异步 | [Token usage](/oss/python/langchain/models#token-usage) | [Logprobs](/oss/python/langchain/models#log-probabilities) |
| :-----------------------------------------: | :----------------------------------------------------------: | :------------------------------------------------------: | :--: | :--: | :-------------------------------------------------------: | :--: | :-----------------------------------------------------: | :--------------------------------------------------------: |
|                      ✅                      |                               ✅                              |                             ❌                            |   ❌  |   ❌  |                             ✅                             |   ✅  |                            ✅                            |                              ❌                             |

## 设置

要访问 `ChatMistralAI` 模型，您需要创建一个 Mistral 账户，获取 API 密钥，并安装 `langchain-mistralai` 集成包。

### 凭证

需要一个有效的 [API key](https://console.mistral.ai/api-keys/) 来与 API 通信。 完成后设置 MISTRAL\_API\_KEY 环境变量：

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import getpass
import os

if "MISTRAL_API_KEY" not in os.environ:
    os.environ["MISTRAL_API_KEY"] = getpass.getpass("请输入您的 Mistral API 密钥: ")
```

要启用模型调用的自动追踪，请设置您的 [LangSmith](/langsmith/home) API key:

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
os.environ["LANGSMITH_API_KEY"] = getpass.getpass("请输入您的 LangSmith API 密钥: ")
os.environ["LANGSMITH_TRACING"] = "true"
```

### 安装

LangChain 的 Mistral 集成位于 `langchain-mistralai` 包中：

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
pip install -qU langchain-mistralai
```

## 实例化

现在我们可以实例化模型对象并生成聊天补全：

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
from langchain_mistralai import ChatMistralAI

llm = ChatMistralAI(
    model="mistral-large-latest",
    temperature=0,
    max_retries=2,
    # 其他参数...
)
```

## 调用

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
messages = [
    (
        "system",
        "You are a helpful assistant that translates English to French. Translate the user sentence.",
    ),
    ("human", "I love programming."),
]
ai_msg = llm.invoke(messages)
ai_msg
```

```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
AIMessage(content='Sure, I\'d be happy to help you translate that sentence into French! The English sentence "I love programming" translates to "J\'aime programmer" in French. Let me know if you have any other questions or need further assistance!', response_metadata={'token_usage': {'prompt_tokens': 32, 'total_tokens': 84, 'completion_tokens': 52}, 'model': 'mistral-small', 'finish_reason': 'stop'}, id='run-64bac156-7160-4b68-b67e-4161f63e021f-0', usage_metadata={'input_tokens': 32, 'output_tokens': 52, 'total_tokens': 84})
```

```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
print(ai_msg.content)
```

```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
Sure, I'd be happy to help you translate that sentence into French! The English sentence "I love programming" translates to "J'aime programmer" in French. Let me know if you have any other questions or need further assistance!
```

***

## API 参考

Head to the [API reference](https://reference.langchain.com/python/langchain-mistralai/chat_models/ChatMistralAI) 查看所有属性和方法的详细文档。

***

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