> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# ChatDeepSeek integration

> Integrate with the ChatDeepSeek chat model using LangChain JavaScript.

This will help you getting started with `ChatDeepSeek` [chat models](/oss/javascript/langchain/models). For detailed documentation of all `ChatDeepSeek` features and configurations head to the [API reference](https://reference.langchain.com/javascript/langchain-deepseek/ChatDeepSeek).

## Overview

### Integration details

| Class                                                                                        | Package                                                        | Serializable | [PY support](https://python.langchain.com/docs/integrations/chat/deepseek) |                                                      Downloads                                                     |                                                     Version                                                     |
| :------------------------------------------------------------------------------------------- | :------------------------------------------------------------- | :----------: | :------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------: |
| [`ChatDeepSeek`](https://reference.langchain.com/javascript/langchain-deepseek/ChatDeepSeek) | [`@langchain/deepseek`](https://npmjs.com/@langchain/deepseek) |     beta     |                                      ✅                                     | <img src="https://img.shields.io/npm/dm/@langchain/deepseek?style=flat-square&label=%20&" alt="NPM - Downloads" /> | <img src="https://img.shields.io/npm/v/@langchain/deepseek?style=flat-square&label=%20&" alt="NPM - Version" /> |

### Model features

See the links in the table headers below for guides on how to use specific features.

| [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 as of 1/27/25, tool calling and structured output are not currently supported for `deepseek-reasoner`.

## Setup

To access DeepSeek models you'll need to create a DeepSeek account, get an API key, and install the `@langchain/deepseek` integration package.

You can also access the DeepSeek API through providers like [Ollama](/oss/javascript/integrations/chat/ollama).

### Credentials

Head to [deepseek.com](https://deepseek.com/) to sign up to DeepSeek and generate an API key. Once you've done this set the `DEEPSEEK_API_KEY` environment variable:

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

If you want to get automated tracing of your model calls you can also set your [LangSmith](/langsmith/observability) API key by uncommenting below:

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

### Installation

The LangChain ChatDeepSeek integration lives in the `@langchain/deepseek` package:

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

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

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

## Instantiation

Now we can instantiate our model object and generate chat completions:

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { ChatDeepSeek } from "@langchain/deepseek";

const llm = new ChatDeepSeek({
  model: "deepseek-reasoner",
  temperature: 0,
  // other params...
})
```

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

```text theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
AIMessage {
  "id": "e2874482-68a7-4552-8154-b6a245bab429",
  "content": "J'adore la programmation.",
  "additional_kwargs": {
    "reasoning_content": "..."
  },
  "response_metadata": {
    "tokenUsage": {
      "promptTokens": 23,
      "completionTokens": 7,
      "totalTokens": 30
    },
    "finish_reason": "stop",
    "model_name": "deepseek-reasoner",
    "usage": {
      "prompt_tokens": 23,
      "completion_tokens": 7,
      "total_tokens": 30,
      "prompt_tokens_details": {
        "cached_tokens": 0
      },
      "prompt_cache_hit_tokens": 0,
      "prompt_cache_miss_tokens": 23
    },
    "system_fingerprint": "fp_3a5770e1b4"
  },
  "tool_calls": [],
  "invalid_tool_calls": [],
  "usage_metadata": {
    "output_tokens": 7,
    "input_tokens": 23,
    "total_tokens": 30,
    "input_token_details": {
      "cache_read": 0
    },
    "output_token_details": {}
  }
}
```

```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 reference

For detailed documentation of all `ChatDeepSeek` features and configurations head to the [API reference](https://reference.langchain.com/javascript/langchain-deepseek/ChatDeepSeek).

***

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