- Python
- JavaScript
安装
需要 Python SDK 版本
langsmith>=0.3.15。pip install "langsmith[openai-agents]"
环境配置
Shell
export LANGSMITH_API_KEY=<your-api-key>
export OPENAI_API_KEY=<your-openai-api-key>
# 可选：为您的追踪设置一个项目
export LANGSMITH_PROJECT=<your-project-name>
# 对于链接到多个工作区的 LangSmith API 密钥，请设置 LANGSMITH_WORKSPACE_ID 环境变量以指定使用哪个工作区。
export LANGSMITH_WORKSPACE_ID=<your-workspace-id>
快速开始
通过使用OpenAIAgentsTracingProcessor 类，将 LangSmith 追踪与 OpenAI Agents SDK 集成。import asyncio
from agents import Agent, Runner, set_trace_processors
from langsmith.integrations.openai_agents_sdk import OpenAIAgentsTracingProcessor
async def main():
agent = Agent(
name="Captain Obvious",
instructions="You are Captain Obvious, the world's most literal technical support agent.",
)
question = "Why is my code failing when I try to divide by zero? I keep getting this error message."
result = await Runner.run(agent, question)
print(result.final_output)
if __name__ == "__main__":
set_trace_processors([OpenAIAgentsTracingProcessor()])
asyncio.run(main())
安装
需要 JS SDK 版本
langsmith>=0.5.25。npm install langsmith @openai/agents zod
环境配置
Shell
export LANGSMITH_API_KEY=<your-api-key>
export OPENAI_API_KEY=<your-openai-api-key>
# 可选：为您的追踪设置一个项目
export LANGSMITH_PROJECT=<your-project-name>
# 对于链接到多个工作区的 LangSmith API 密钥，请设置 LANGSMITH_WORKSPACE_ID 环境变量以指定使用哪个工作区。
export LANGSMITH_WORKSPACE_ID=<your-workspace-id>
安装
OpenAIAgentsTracingProcessor 是明确选择启用追踪。即使未设置 LANGSMITH_TRACING，该处理器也会发送追踪数据，并且智能体工具内的嵌套 traceable 调用会继承活动的追踪上下文。快速开始
在运行智能体之前，向 OpenAI Agents SDK 注册OpenAIAgentsTracingProcessor。import { Agent, run, setTraceProcessors, tool } from "@openai/agents";
import { z } from "zod";
import { OpenAIAgentsTracingProcessor } from "langsmith/wrappers/openai_agents";
setTraceProcessors([new OpenAIAgentsTracingProcessor()]);
const getWeather = tool({
name: "get_weather",
description: "Get the current weather for a city",
parameters: z.object({
city: z.string().describe("The city to get weather for"),
}),
execute: async ({ city }: { city: string }) => {
return `The weather in ${city} is sunny.`;
},
});
const agent = new Agent({
name: "WeatherAgent",
instructions: "You are a helpful assistant. Use the get_weather tool when asked about weather.",
model: "gpt-5-nano",
tools: [getWeather],
});
const result = await run(agent, "What's the weather in San Francisco?");
console.log(result.finalOutput);
配置处理器
向处理器传递选项以设置 LangSmith 客户端、项目、标签、元数据或根追踪名称。import { Agent, run, setTraceProcessors } from "@openai/agents";
import { Client } from "langsmith";
import { OpenAIAgentsTracingProcessor } from "langsmith/wrappers/openai_agents";
const client = new Client();
const processor = new OpenAIAgentsTracingProcessor({
client,
projectName: "openai-agents-demo",
name: "Support agent workflow",
tags: ["openai-agents"],
metadata: {
environment: "development",
},
});
setTraceProcessors([processor]);
const agent = new Agent({
name: "SupportAgent",
instructions: "You are a concise support agent.",
model: "gpt-5-nano",
});
const result = await run(agent, "Help me reset my password.");
console.log(result.finalOutput);
在工具中嵌套 traceable 调用
您可以在 OpenAI Agents SDK 工具处理器内部使用 traceable。LangSmith 会将这些运行嵌套在活动的工具跨度下。import { Agent, run, setTraceProcessors, tool } from "@openai/agents";
import { z } from "zod";
import { traceable } from "langsmith/traceable";
import { OpenAIAgentsTracingProcessor } from "langsmith/wrappers/openai_agents";
setTraceProcessors([new OpenAIAgentsTracingProcessor()]);
const lookupOrder = traceable(
async (orderId: string) => {
return { orderId, status: "shipped" };
},
{ name: "lookup_order" }
);
const orderStatus = tool({
name: "order_status",
description: "Look up the status of an order",
parameters: z.object({
orderId: z.string().describe("The order ID to look up"),
}),
execute: async ({ orderId }: { orderId: string }) => {
return JSON.stringify(await lookupOrder(orderId));
},
});
const agent = new Agent({
name: "OrdersAgent",
instructions: "Use the order_status tool to answer order questions.",
model: "gpt-5-nano",
tools: [orderStatus],
});
await run(agent, "Where is order 123?");
在无服务器环境中刷新追踪
在无服务器环境中进行追踪时，请在进程退出前刷新待处理的追踪。import { Agent, run, setTraceProcessors } from "@openai/agents";
import { Client } from "langsmith";
import { OpenAIAgentsTracingProcessor } from "langsmith/wrappers/openai_agents";
const client = new Client();
const processor = new OpenAIAgentsTracingProcessor({ client });
setTraceProcessors([processor]);
try {
const agent = new Agent({
name: "SupportAgent",
instructions: "You are a concise support agent.",
model: "gpt-5-nano",
});
const result = await run(agent, "Help me reset my password.");
console.log(result.finalOutput);
} finally {
await processor.forceFlush();
}
将这些文档连接到 Claude、VSCode 等，通过 MCP 获取实时答案。