> ## 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. # 如何在同一个线程上运行多个智能体 在 LangSmith 部署中，线程并不显式地与特定智能体关联。 这意味着您可以在同一个线程上运行多个智能体，从而允许不同的智能体从初始智能体的进度继续执行。 在本示例中，我们将创建两个智能体，然后在同一个线程上调用它们。 您将看到第二个智能体会使用第一个智能体在线程中生成的[检查点](/oss/python/langgraph/persistence#checkpoints)作为上下文来响应。 ## 设置 ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} from langgraph_sdk import get_client client = get_client(url=) openai_assistant = await client.assistants.create( graph_id="agent", config={"configurable": {"model_name": "openai"}} ) # 应该始终存在一个没有配置的默认智能体 assistants = await client.assistants.search() default_assistant = [a for a in assistants if not a["config"]][0] ``` ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} import { Client } from "@langchain/langgraph-sdk"; const client = new Client({ apiUrl: }); const openAIAssistant = await client.assistants.create( { graphId: "agent", config: {"configurable": {"model_name": "openai"}}} ); const assistants = await client.assistants.search(); const defaultAssistant = assistants.find(a => !a.config); ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} curl --request POST \ --url /assistants \ --header 'Content-Type: application/json' \ --data '{ "graph_id": "agent", "config": { "configurable": { "model_name": "openai" } } }' && \ 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]' ``` 我们可以看到这些智能体是不同的： ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} print(openai_assistant) ``` ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} console.log(openAIAssistant); ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} curl --request GET \ --url /assistants/ ``` 输出： ``` { "assistant_id": "db87f39d-b2b1-4da8-ac65-cf81beb3c766", "graph_id": "agent", "created_at": "2024-08-30T21:18:51.850581+00:00", "updated_at": "2024-08-30T21:18:51.850581+00:00", "config": { "configurable": { "model_name": "openai" } }, "metadata": {} } ``` ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} print(default_assistant) ``` ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} console.log(defaultAssistant); ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} curl --request GET \ --url /assistants/ ``` 输出： ``` { "assistant_id": "fe096781-5601-53d2-b2f6-0d3403f7e9ca", "graph_id": "agent", "created_at": "2024-08-08T22:45:24.562906+00:00", "updated_at": "2024-08-08T22:45:24.562906+00:00", "config": {}, "metadata": { "created_by": "system" } } ``` ## 在线程上运行智能体 ### 运行 OpenAI 智能体 我们现在可以首先在线程上运行 OpenAI 智能体。 ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} thread = await client.threads.create() input = {"messages": [{"role": "user", "content": "who made you?"}]} async for event in client.runs.stream( thread["thread_id"], openai_assistant["assistant_id"], input=input, stream_mode="updates", ): print(f"Receiving event of type: {event.event}") print(event.data) print("\n\n") ``` ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} const thread = await client.threads.create(); let input = {"messages": [{"role": "user", "content": "who made you?"}]} const streamResponse = client.runs.stream( thread["thread_id"], openAIAssistant["assistant_id"], { input, streamMode: "updates" } ); for await (const event of streamResponse) { console.log(`Receiving event of type: ${event.event}`); console.log(event.data); console.log("\n\n"); } ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} thread_id=$(curl --request POST \ --url /threads \ --header 'Content-Type: application/json' \ --data '{}' | jq -r '.thread_id') && \ curl --request POST \ --url "/threads/${thread_id}/runs/stream" \ --header 'Content-Type: application/json' \ --data '{ "assistant_id": , "input": { "messages": [ { "role": "user", "content": "who made you?" } ] }, "stream_mode": [ "updates" ] }' | \ sed 's/\r$//' | \ awk ' /^event:/ { if (data_content != "") { print data_content "\n" } sub(/^event: /, "Receiving event of type: ", $0) printf "%s...\n", $0 data_content = "" } /^data:/ { sub(/^data: /, "", $0) data_content = $0 } END { if (data_content != "") { print data_content "\n\n" } } ' ``` 输出： ``` Receiving event of type: metadata {'run_id': '1ef671c5-fb83-6e70-b698-44dba2d9213e'} Receiving event of type: updates {'agent': {'messages': [{'content': 'I was created by OpenAI, a research organization focused on developing and advancing artificial intelligence technology.', 'additional_kwargs': {}, 'response_metadata': {'finish_reason': 'stop', 'model_name': 'gpt-4o-2024-05-13', 'system_fingerprint': 'fp_157b3831f5'}, 'type': 'ai', 'name': None, 'id': 'run-f5735b86-b80d-4c71-8dc3-4782b5a9c7c8', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None}]}} ``` ### 运行默认智能体 现在，我们可以在默认智能体上运行它，并看到第二个智能体知道初始问题，并且能够回答“and you?”这个问题： ```python theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} input = {"messages": [{"role": "user", "content": "and you?"}]} async for event in client.runs.stream( thread["thread_id"], default_assistant["assistant_id"], input=input, stream_mode="updates", ): print(f"Receiving event of type: {event.event}") print(event.data) print("\n\n") ``` ```js theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} let input = {"messages": [{"role": "user", "content": "and you?"}]} const streamResponse = client.runs.stream( thread["thread_id"], defaultAssistant["assistant_id"], { input, streamMode: "updates" } ); for await (const event of streamResponse) { console.log(`Receiving event of type: ${event.event}`); console.log(event.data); console.log("\n\n"); } ``` ```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}} curl --request POST \ --url /threads//runs/stream \ --header 'Content-Type: application/json' \ --data '{ "assistant_id": , "input": { "messages": [ { "role": "user", "content": "and you?" } ] }, "stream_mode": [ "updates" ] }' | \ sed 's/\r$//' | \ awk ' /^event:/ { if (data_content != "") { print data_content "\n" } sub(/^event: /, "Receiving event of type: ", $0) printf "%s...\n", $0 data_content = "" } /^data:/ { sub(/^data: /, "", $0) data_content = $0 } END { if (data_content != "") { print data_content "\n\n" } } ' ``` 输出： ``` Receiving event of type: metadata {'run_id': '1ef6722d-80b3-6fbb-9324-253796b1cd13'} Receiving event of type: updates {'agent': {'messages': [{'content': [{'text': 'I am an artificial intelligence created by Anthropic, not by OpenAI. I should not have stated that OpenAI created me, as that is incorrect. Anthropic is the company that developed and trained me using advanced language models and AI technology. I will be more careful about providing accurate information regarding my origins in the future.', 'type': 'text', 'index': 0}], 'additional_kwargs': {}, 'response_metadata': {'stop_reason': 'end_turn', 'stop_sequence': None}, 'type': 'ai', 'name': None, 'id': 'run-ebaacf62-9dd9-4165-9535-db432e4793ec', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': {'input_tokens': 302, 'output_tokens': 72, 'total_tokens': 374}}]}} ``` ***
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