> ## 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.

# LangSmith 部署

当您准备将 LangChain 智能体部署到生产环境时，LangSmith 提供了一个专为智能体工作负载设计的托管平台。传统的托管平台是为无状态、短生命周期的 Web 应用构建的，而 LangGraph 是**专为有状态、长时间运行的智能体而构建的**，这些智能体需要持久化状态和后台执行。LangSmith 处理基础设施、扩展和运维问题，让您可以直接从代码仓库进行部署。

## 前提条件

开始之前，请确保您具备以下条件：

* 一个 [GitHub 账户](https://github.com/)
* 一个 [LangSmith 账户](https://smith.langchain.com?utm_source=docs\&utm_medium=cta\&utm_campaign=langsmith-signup\&utm_content=oss-langchain-deploy)（免费注册）

## 部署您的智能体

### 1. 在 GitHub 上创建仓库

您的应用代码必须存放在 GitHub 仓库中才能部署到 LangSmith。支持公开和私有仓库。在此快速入门中，首先按照[本地服务器设置指南](/oss/javascript/langchain/studio)确保您的应用与 LangGraph 兼容。然后，将代码推送到仓库。

### 2. Deploy to LangSmith

<Steps>
  <Step title="Navigate to LangSmith Deployment">
    Log in to [LangSmith](https://smith.langchain.com?utm_source=docs\&utm_medium=cta\&utm_campaign=langsmith-signup\&utm_content=snippets-oss-deploy-js). In the left sidebar, select **Deployments**.
  </Step>

  <Step title="Create new deployment">
    Click the **+ New Deployment** button. A pane will open where you can fill in the required fields.
  </Step>

  <Step title="Link repository">
    If you are a first time user or adding a private repository that has not been previously connected, click the **Add new account** button and follow the instructions to connect your GitHub account.
  </Step>

  <Step title="Deploy repository">
    Select your application's repository. Click **Submit** to deploy. This may take about 15 minutes to complete. You can check the status in the **Deployment details** view.
  </Step>
</Steps>

### 3. Test your application in Studio

Once your application is deployed:

1. Select the deployment you just created to view more details.
2. Click the **Studio** button in the top right corner. Studio will open to display your graph.

### 4. Get the API URL for your deployment

1. In the **Deployment details** view in LangGraph, click the **API URL** to copy it to your clipboard.
2. Click the `URL` to copy it to the clipboard.

### 5. Test the API

You can now test the API:

<Tabs>
  <Tab title="JavaScript">
    1. Install LangGraph JS:

    ```shell theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    npm install @langchain/langgraph-sdk
    ```

    2. Send a message to the agent:

    ```ts theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    const { Client } = await import("@langchain/langgraph-sdk");

    const client = new Client({ apiUrl: "your-deployment-url", apiKey: "your-langsmith-api-key" });

    const streamResponse = client.runs.stream(
        null,    // Threadless run
        "agent", // Name of agent. Defined in langgraph.json.
        {
            input: {
                "messages": [
                    { "role": "user", "content": "What is LangGraph?"}
                ]
            },
            streamMode: "messages",
        }
    );

    for await (const chunk of streamResponse) {
        console.log(`Receiving new event of type: ${chunk.event}...`);
        console.log(JSON.stringify(chunk.data));
        console.log("\n\n");
    }
    ```
  </Tab>

  <Tab title="Rest API">
    ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    curl -s --request POST \
        --url <DEPLOYMENT_URL>/runs/stream \
        --header 'Content-Type: application/json' \
        --header "X-Api-Key: <LANGSMITH API KEY> \
        --data "{
            \"assistant_id\": \"agent\", `# Name of agent. Defined in langgraph.json.`
            \"input\": {
                \"messages\": [
                    {
                        \"role\": \"human\",
                        \"content\": \"What is LangGraph?\"
                    }
                ]
            },
            \"stream_mode\": \"updates\"
        }"
    ```
  </Tab>
</Tabs>

<Tip>
  LangSmith offers additional hosting options, including self-hosted and hybrid. For more information, please see the [Platform setup overview](/langsmith/platform-setup).
</Tip>

***

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  <Callout icon="terminal-2">
    [将这些文档连接到](/use-these-docs) Claude、VSCode 等工具，通过 MCP 获取实时答案。
  </Callout>

  <Callout icon="edit">
    [在 GitHub 上编辑此页面](https://github.com/langchain-ai/docs/edit/main/src/oss/langchain/deploy.mdx) 或 [提交问题](https://github.com/langchain-ai/docs/issues/new/choose)。
  </Callout>
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