thread_id，以便通过 LangSmith 部署中实现的持久化状态来跟踪先前的运行。但是，如果您不需要持久化运行，则无需使用内置的持久化状态，可以创建无状态运行。
设置
首先，让我们设置客户端：- Python
- Javascript
- CURL
from langgraph_sdk import get_client
client = get_client(url=<DEPLOYMENT_URL>)
# 使用部署名为 "agent" 的图
assistant_id = "agent"
import { Client } from "@langchain/langgraph-sdk";
const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
// 使用部署名为 "agent" 的图
const assistantId = "agent";
curl --request POST \
--url <DEPLOYMENT_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 <DEPLOYMENT_URL>/threads \
--header 'Content-Type: application/json' \
--data '{}'
无状态流式传输
我们可以以与从具有状态属性的运行进行流式传输几乎相同的方式，流式传输无状态运行的结果，但不是向thread_id 参数传递值，而是传递 None：
- Python
- Javascript
- CURL
input = {
"messages": [
{"role": "user", "content": "Hello! My name is Bagatur and I am 26 years old."}
]
}
async for chunk in client.runs.stream(
# 不传入 thread_id，流式传输将是无状态的
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(
// 不传入 thread_id，流式传输将是无状态的
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 <DEPLOYMENT_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'
{'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，您还可以使用.wait 函数等待无状态结果，如下所示：
- Python
- Javascript
- CURL
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 <DEPLOYMENT_URL>/runs/wait \
--header 'Content-Type: application/json' \
--data '{
"assistant_id": <ASSISTANT_IDD>,
}'
{
'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
}
]
}
将这些文档连接到 Claude、VSCode 等，通过 MCP 获取实时答案。