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

# 拒绝并发执行

本指南假设您已了解什么是双重发送（double-texting），您可以在[双重发送概念指南](/langsmith/double-texting)中了解更多。

本指南介绍双重发送的 `reject` 选项，该选项通过抛出错误来拒绝图的新运行，并继续执行原始运行直至完成。以下是使用 `reject` 选项的简单示例。

## 设置

首先，我们将定义一个快速辅助函数，用于打印 JS 和 CURL 模型输出（如果使用 Python，可以跳过此步骤）：

<Tabs>
  <Tab title="Javascript">
    ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    function prettyPrint(m) {
      const padded = " " + m['type'] + " ";
      const sepLen = Math.floor((80 - padded.length) / 2);
      const sep = "=".repeat(sepLen);
      const secondSep = sep + (padded.length % 2 ? "=" : "");

      console.log(`${sep}${padded}${secondSep}`);
      console.log("\n\n");
      console.log(m.content);
    }
    ```
  </Tab>

  <Tab title="CURL">
    ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    # 将此内容放入名为 pretty_print.sh 的文件中
    pretty_print() {
      local type="$1"
      local content="$2"
      local padded=" $type "
      local total_width=80
      local sep_len=$(( (total_width - ${#padded}) / 2 ))
      local sep=$(printf '=%.0s' $(eval "echo {1.."${sep_len}"}"))
      local second_sep=$sep
      if (( (total_width - ${#padded}) % 2 )); then
        second_sep="${second_sep}="
      fi

      echo "${sep}${padded}${second_sep}"
      echo
      echo "$content"
    }
    ```
  </Tab>
</Tabs>

现在，让我们导入所需的包并实例化客户端、助手和线程。

<Tabs>
  <Tab title="Python">
    ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    import httpx
    from langchain_core.messages import convert_to_messages
    from langgraph_sdk import get_client

    client = get_client(url=<DEPLOYMENT_URL>)
    # 使用名为 "agent" 的已部署图
    assistant_id = "agent"
    thread = await client.threads.create()
    ```
  </Tab>

  <Tab title="Javascript">
    ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    import { Client } from "@langchain/langgraph-sdk";

    const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
    // 使用名为 "agent" 的已部署图
    const assistantId = "agent";
    const thread = await client.threads.create();
    ```
  </Tab>

  <Tab title="CURL">
    ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    curl --request POST \
      --url <DEPLOYMENT_URL>/threads \
      --header 'Content-Type: application/json' \
      --data '{}'
    ```
  </Tab>
</Tabs>

## 创建运行

现在我们可以运行一个线程，并尝试使用 "reject" 选项运行第二个线程，由于我们已经启动了一个运行，这应该会失败：

<Tabs>
  <Tab title="Python">
    ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    run = await client.runs.create(
        thread["thread_id"],
        assistant_id,
        input={"messages": [{"role": "user", "content": "what's the weather in sf?"}]},
    )
    try:
        await client.runs.create(
            thread["thread_id"],
            assistant_id,
            input={
                "messages": [{"role": "user", "content": "what's the weather in nyc?"}]
            },
            multitask_strategy="reject",
        )
    except httpx.HTTPStatusError as e:
        print("Failed to start concurrent run", e)
    ```
  </Tab>

  <Tab title="Javascript">
    ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    const run = await client.runs.create(
      thread["thread_id"],
      assistantId,
      input={"messages": [{"role": "user", "content": "what's the weather in sf?"}]},
    );

    try {
      await client.runs.create(
        thread["thread_id"],
        assistantId,
        {
          input: {"messages": [{"role": "user", "content": "what's the weather in nyc?"}]},
          multitask_strategy:"reject"
        },
      );
    } catch (e) {
      console.error("Failed to start concurrent run", e);
    }
    ```
  </Tab>

  <Tab title="CURL">
    ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    curl --request POST \
    --url <DEPLOY<ENT_URL>>/threads/<THREAD_ID>/runs \
    --header 'Content-Type: application/json' \
    --data "{
      \"assistant_id\": \"agent\",
      \"input\": {\"messages\": [{\"role\": \"human\", \"content\": \"what\'s the weather in sf?\"}]},
    }" && curl --request POST \
    --url <DEPLOY<ENT_URL>>/threads/<THREAD_ID>/runs \
    --header 'Content-Type: application/json' \
    --data "{
      \"assistant_id\": \"agent\",
      \"input\": {\"messages\": [{\"role\": \"human\", \"content\": \"what\'s the weather in nyc?\"}]},
      \"multitask_strategy\": \"reject\"
    }" || { echo "Failed to start concurrent run"; echo "Error: $?" >&2; }
    ```
  </Tab>
</Tabs>

输出：

```
Failed to start concurrent run Client error '409 Conflict' for url 'http://localhost:8123/threads/f9e7088b-8028-4e5c-88d2-9cc9a2870e50/runs'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/409
```

## 查看运行结果

我们可以验证原始线程已执行完成：

<Tabs>
  <Tab title="Python">
    ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    # 等待原始运行完成
    await client.runs.join(thread["thread_id"], run["run_id"])

    state = await client.threads.get_state(thread["thread_id"])

    for m in convert_to_messages(state["values"]["messages"]):
        m.pretty_print()
    ```
  </Tab>

  <Tab title="Javascript">
    ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    await client.runs.join(thread["thread_id"], run["run_id"]);

    const state = await client.threads.getState(thread["thread_id"]);

    for (const m of state["values"]["messages"]) {
      prettyPrint(m);
    }
    ```
  </Tab>

  <Tab title="CURL">
    ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
    source pretty_print.sh && curl --request GET \
    --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/<RUN_ID>/join && \
    curl --request GET --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/state | \
    jq -c '.values.messages[]' | while read -r element; do
        type=$(echo "$element" | jq -r '.type')
        content=$(echo "$element" | jq -r '.content | if type == "array" then tostring else . end')
        pretty_print "$type" "$content"
    done
    ```
  </Tab>
</Tabs>

输出：

```
================================ Human Message =================================

what's the weather in sf?
================================== Ai Message ==================================

[{'id': 'toolu_01CyewEifV2Kmi7EFKHbMDr1', 'input': {'query': 'weather in san francisco'}, 'name': 'tavily_search_results_json', 'type': 'tool_use'}]
Tool Calls:
tavily_search_results_json (toolu_01CyewEifV2Kmi7EFKHbMDr1)
Call ID: toolu_01CyewEifV2Kmi7EFKHbMDr1
Args:
query: weather in san francisco
================================= Tool Message =================================
Name: tavily_search_results_json

[{"url": "https://www.accuweather.com/en/us/san-francisco/94103/june-weather/347629", "content": "Get the monthly weather forecast for San Francisco, CA, including daily high/low, historical averages, to help you plan ahead."}]
================================== Ai Message ==================================

根据 Tavily 的搜索结果，旧金山当前的天气情况如下：

旧金山六月的平均高温约为 65°F（18°C），平均低温约为 54°F（12°C）。由于夏季月份经常笼罩城市的海洋雾层，六月往往是旧金山较凉爽和多雾的月份之一。

关于旧金山六月典型天气的一些要点：

* 温和的气温，高温在 60 多华氏度，低温在 50 多华氏度
* 多雾的早晨，午后常转为晴朗
* 几乎没有降雨，因为六月属于旱季
* 有风的条件，受太平洋海风影响
* 建议分层穿衣以应对变化的天气条件

总之，这个时节在旧金山，您可以期待温和多雾的早晨，午后转为晴朗但凉爽的天气。与其他加州地区相比，海洋雾层使六月的气温保持适中。
```

***

<div className="source-links">
  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/i18n\zh-CN\langsmith\reject-concurrent.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>

  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>
</div>
