大多数情况下，当您运行图时需要提供一个 thread_id 给您的客户端，以便通过 LangSmith 部署中实现的持久状态来跟踪之前的运行。但是，如果您不需要持久化运行，则不需要使用内置的持久状态，可以创建无状态运行。

设置

首先，让我们设置客户端：

    from langgraph_sdk import get_client

    client = get_client(url=)
    # Using the graph deployed with the name "agent"
    assistant_id = "agent"
    

    const client = new Client({ apiUrl:  });
    // Using the graph deployed with the name "agent"
    const assistantId = "agent";
    

    curl --request POST \
        --url /assistants/search \
        --header 'Content-Type: application/json' \
        --data '{
            "limit": 10,
            "offset": 0
        }' | jq -c 'map(select(.config == null or .config == {})) | .[0].graph_id' && \
    curl --request POST \
        --url /threads \
        --header 'Content-Type: application/json' \
        --data '{}'
    

无状态流式处理

我们可以通过与从带有 state 属性的运行进行流式传输几乎相同的方式对无状态运行的结果进行流式传输，但不是向 thread_id 参数传递值，而是传递 None:

    input = {
        "messages": [
            {"role": "user", "content": "Hello! My name is Bagatur and I am 26 years old."}
        ]
    }

    async for chunk in client.runs.stream(
        # Don't pass in a thread_id and the stream will be stateless
        None,
        assistant_id,
        input=input,
        stream_mode="updates",
    ):
        if chunk.data and "run_id" not in chunk.data:
            print(chunk.data)
    

    let input = {
      messages: [
        { role: "user", content: "Hello! My name is Bagatur and I am 26 years old." }
      ]
    };

    const streamResponse = client.runs.stream(
      // Don't pass in a thread_id and the stream will be stateless
      null,
      assistantId,
      {
        input,
        streamMode: "updates"
      }
    );
    for await (const chunk of streamResponse) {
      if (chunk.data && !("run_id" in chunk.data)) {
        console.log(chunk.data);
      }
    }
    

    curl --request POST \
        --url /runs/stream \
        --header 'Content-Type: application/json' \
        --data "{
            \"assistant_id\": \"agent\",
            \"input\": {\"messages\": [{\"role\": \"human\", \"content\": \"Hello! My name is Bagatur and I am 26 years old.\"}]},
            \"stream_mode\": [
                \"updates\"
            ]
        }" | jq -c 'select(.data and (.data | has("run_id") | not)) | .data'
    

Output:

{'agent': {'messages': [{'content': "Hello Bagatur! It's nice to meet you. Thank you for introducing yourself and sharing your age. Is there anything specific you'd like to know or discuss? I'm here to help with any questions or topics you're interested in.", 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'ai', 'name': None, 'id': 'run-489ec573-1645-4ce2-a3b8-91b391d50a71', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None}]}}

等待无状态结果

除了流式传输之外，您还可以通过使用 .wait 函数来等待无状态结果，如下所示：

    stateless_run_result = await client.runs.wait(
        None,
        assistant_id,
        input=input,
    )
    print(stateless_run_result)
    

    let statelessRunResult = await client.runs.wait(
      null,
      assistantId,
      { input: input }
    );
    console.log(statelessRunResult);
    

    curl --request POST \
        --url /runs/wait \
        --header 'Content-Type: application/json' \
        --data '{
            "assistant_id": ,
        }'
    

Output:

{
    'messages': [
        {
            'content': 'Hello! My name is Bagatur and I am 26 years old.',
            'additional_kwargs': {},
            'response_metadata': {},
            'type': 'human',
            'name': None,
            'id': '5e088543-62c2-43de-9d95-6086ad7f8b48',
            'example': False
        },
        {
            'content': 'Hello Bagatur! It's nice to meet you. Thank you for introducing yourself and sharing your age. Is there anything specific you'd like to know or discuss? I'm here to help with any questions or topics you'd like to explore.',
            'additional_kwargs': {},
            'response_metadata': {},
            'type': 'ai',
            'name': None,
            'id': 'run-d6361e8d-4d4c-45bd-ba47-39520257f773',
            'example': False,
            'tool_calls': [],
            'invalid_tool_calls': [],
            'usage_metadata': None
        }
    ]
}