MistralAI 集成

使用 LangChain JavaScript 与 MistralAI LLM 集成。

您当前所在的页面正在记录 Mistral 模型作为文本完成模型的使用方法。Mistral 上提供的许多流行模型是 对话完成模型。

您可能需要查找 这个页面。

想要在本地运行 Mistral 的模型？查看我们的 Ollama 集成。

Mistral AI 是一个提供其强大 开源模型 托管的平台。

这将帮助您使用 LangChain 开始使用 MistralAI 完成模型（LLM）。有关 MistralAI 功能和配置选项的详细文档，请参考 API 参考。

概述

集成详情

类	包	本地	可序列化	PY 支持	下载	版本
MistralAI	@langchain/mistralai	❌	✅	❌

设置

要访问 MistralAI 模型，您需要创建一个 MistralAI 账户，获取一个 API 密钥，并安装 @langchain/mistralai 集成包。

凭证

前往 console.mistral.ai 注册 MistralAI 并生成 API 密钥。完成后，设置 MISTRAL_API_KEY 环境变量：

export MISTRAL_API_KEY="your-api-key"

如果您希望自动跟踪您的模型调用，可以通过取消注释以下内容来设置您的 LangSmith API 密钥：

# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"

安装

LangChain MistralAI 集成位于 @langchain/mistralai 包中：

npm

npm install @langchain/mistralai @langchain/core

实例化

现在您可以实例化模型并生成文本完成：

import { MistralAI } from "@langchain/mistralai"

const llm = new MistralAI({
  model: "codestral-latest",
  temperature: 0,
  maxTokens: undefined,
  maxRetries: 2,
  // other params...
})

调用

const inputText = "MistralAI is an AI company that "

const completion = await llm.invoke(inputText)
completion

 has developed Mistral 7B, a large language model (LLM) that is open-source and available for commercial use. Mistral 7B is a 7 billion parameter model that is trained on a diverse and high-quality dataset, and it has been fine-tuned to perform well on a variety of tasks, including text generation, question answering, and code interpretation.

MistralAI has made Mistral 7B available under a permissive license, allowing anyone to use the model for commercial purposes without having to pay any fees. This has made Mistral 7B a popular choice for businesses and organizations that want to leverage the power of large language models without incurring high costs.

Mistral 7B has been trained on a diverse and high-quality dataset, which has enabled it to perform well on a variety of tasks. It has been fine-tuned to generate coherent and contextually relevant text, and it has been shown to be capable of answering complex questions and interpreting code.

Mistral 7B is also a highly efficient model, capable of processing text at a fast pace. This makes it well-suited for applications that require real-time responses, such as chatbots and virtual assistants.

Overall, Mistral 7B is a powerful and versatile large language model that is open-source and available for commercial use. Its ability to perform well on a variety of tasks, its efficiency, and its permissive license make it a popular choice for businesses and organizations that want to leverage the power of large language models.

钩子

Mistral AI 支持三种事件的定制钩子：beforeRequest、requestError 和 response。每种钩子类型的函数签名示例如下所示：

const beforeRequestHook = (req: Request): Request | void | Promise<Request | void> => {
    // Code to run before a request is processed by Mistral
};

const requestErrorHook = (err: unknown, req: Request): void | Promise<void> => {
    // Code to run when an error occurs as Mistral is processing a request
};

const responseHook = (res: Response, req: Request): void | Promise<void> => {
    // Code to run before Mistral sends a successful response
};

要将这些钩子添加到模型中，可以直接作为参数传递，它们将自动添加：

import { MistralAI } from "@langchain/mistralai"

const modelWithHooks = new MistralAI({
    model: "codestral-latest",
    temperature: 0,
    maxRetries: 2,
    beforeRequestHooks: [ beforeRequestHook ],
    requestErrorHooks: [ requestErrorHook ],
    responseHooks: [ responseHook ],
    // other params...
});

或者实例化后手动分配和添加：

import { MistralAI } from "@langchain/mistralai"

const model = new MistralAI({
    model: "codestral-latest",
    temperature: 0,
    maxRetries: 2,
    // other params...
});

model.beforeRequestHooks = [ ...model.beforeRequestHooks, beforeRequestHook ];
model.requestErrorHooks = [ ...model.requestErrorHooks, requestErrorHook ];
model.responseHooks = [ ...model.responseHooks, responseHook ];

model.addAllHooksToHttpClient();

方法 addAllHooksToHttpClient 在分配整个更新后的钩子列表之前会清除所有当前添加的钩子，以避免钩子重复。

钩子可以逐个移除，或者一次清除模型中的所有钩子。

model.removeHookFromHttpClient(beforeRequestHook);

model.removeAllHooksFromHttpClient();

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API 参考

有关所有 MistralAI 功能和配置的详细文档，请前往 API 参考。

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官方原文：src/oss/javascript/integrations/llms/mistral.mdx · 非官方翻译，译文由 AI 生成，以英文原文为准。