> ## 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.

# ChatPerplexity 集成

> 使用 LangChain JavaScript 集成 ChatPerplexity chat model。

本指南将帮助你开始使用 Perplexity [chat models](/oss/javascript/langchain/models)。有关所有 `ChatPerplexity` 功能和配置的详细文档，请前往 [API 参考](https://reference.langchain.com/javascript/langchain-community/chat_models/perplexity/ChatPerplexity)。

## 概述

### 集成详情

| Class                                                                                                                    | Package                                                          | Serializable | [PY support](https://python.langchain.com/docs/integrations/chat/perplexity/) |                                               Downloads                                              |                                              Version                                              |
| :----------------------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------- | :----------: | :---------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------: |
| [`ChatPerplexity`](https://reference.langchain.com/javascript/langchain-community/chat_models/perplexity/ChatPerplexity) | [`@langchain/community`](https://npmjs.com/@langchain/community) |     beta     |                                       ✅                                       | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square\&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square\&label=%20&) |

### 模型功能

请参阅下表标题中的链接，了解如何使用特定功能。

| [Tool calling](/oss/javascript/langchain/tools) | [Structured output](/oss/javascript/langchain/structured-output) | [Image input](/oss/javascript/langchain/messages#multimodal) | Audio input | Video input | [Token-level streaming](/oss/javascript/langchain/streaming/) | [Token usage](/oss/javascript/langchain/models#token-usage) | [Logprobs](/oss/javascript/langchain/models#log-probabilities) |
| :---------------------------------------------: | :--------------------------------------------------------------: | :----------------------------------------------------------: | :---------: | :---------: | :-----------------------------------------------------------: | :---------------------------------------------------------: | :------------------------------------------------------------: |
|                        ❌                        |                                 ✅                                |                               ❌                              |      ❌      |      ❌      |                               ✅                               |                              ✅                              |                                ❌                               |

Note that at the time of writing, Perplexity only supports structured outputs on certain usage tiers.

## 设置

要访问 Perplexity models，你需要create a Perplexity account, get an API key, and install the `@langchain/community` integration package.

### 凭证

前往 [https://perplexity.ai](https://perplexity.ai) 注册 Perplexity 并生成 API 密钥。完成后设置 `PERPLEXITY_API_KEY` 环境变量：

```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
export PERPLEXITY_API_KEY="your-api-key"
```

如果你想要自动追踪模型调用，还可以设置你的 [LangSmith](/langsmith/home) API 密钥，取消注释以下内容：

```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"
```

### 安装

LangChain 的 Perplexity 集成位于 `@langchain/community` 包中：

<CodeGroup>
  ```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  npm install @langchain/community @langchain/core
  ```

  ```bash yarn theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  yarn add @langchain/community @langchain/core
  ```

  ```bash pnpm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  pnpm add @langchain/community @langchain/core
  ```
</CodeGroup>

## 实例化

现在我们可以实例化模型对象并生成聊天补全：

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { ChatPerplexity } from "@langchain/community/chat_models/perplexity"

const llm = new ChatPerplexity({
  model: "sonar",
  temperature: 0,
  maxTokens: undefined,
  timeout: undefined,
  maxRetries: 2,
  // 其他参数...
})
```

## 调用

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
const aiMsg = await llm.invoke([
  {
    role: "system",
    content: "You are a helpful assistant that translates English to French. Translate the user sentence.",
  },
  {
    role: "user",
    content: "I love programming.",
  },
])
aiMsg
```

```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
AIMessage {
  "id": "run-71853938-aa30-4861-9019-f12323c09f9a",
  "content": "J'adore la programmation.",
  "additional_kwargs": {
    "citations": [
      "https://careersatagoda.com/blog/why-we-love-programming/",
      "https://henrikwarne.com/2012/06/02/why-i-love-coding/",
      "https://forum.freecodecamp.org/t/i-love-programming-but/497502",
      "https://ilovecoding.org",
      "https://thecodinglove.com"
    ]
  },
  "response_metadata": {
    "tokenUsage": {
      "promptTokens": 20,
      "completionTokens": 9,
      "totalTokens": 29
    }
  },
  "tool_calls": [],
  "invalid_tool_calls": []
}
```

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
console.log(aiMsg.content)
```

```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
J'adore la programmation.
```

***

## API 参考

有关所有 `ChatPerplexity` 功能和配置的详细文档，请前往 [API 参考](https://reference.langchain.com/javascript/langchain-community/chat_models/perplexity/ChatPerplexity)。

***

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