Strands Agents (tracing)

pip install respan-ai respan-instrumentation-strands-agents "strands-agents[openai]"

npm install @respan/respan @respan/instrumentation-strands-agents @strands-agents/sdk openai zod

import os

from strands import Agent
from strands.models.openai import OpenAIModel
from strands.tools import tool
from respan import Respan
from respan_instrumentation_strands_agents import StrandsAgentsInstrumentor

respan = Respan(instrumentations=[StrandsAgentsInstrumentor()])

@tool
def get_weather(location: str) -> str:
    """Get the current weather for a location."""
    return f"The weather in {location} is sunny, 72F."

model = OpenAIModel(
    model_id="gpt-4o-mini",
    client_args={"api_key": os.environ["OPENAI_API_KEY"]},
)

agent = Agent(model=model, tools=[get_weather])
response = agent("What is the weather in Seattle?")
print(response)

import { Agent, tool } from "@strands-agents/sdk";
import { OpenAIModel } from "@strands-agents/sdk/models/openai";
import { Respan } from "@respan/respan";
import { StrandsAgentsInstrumentor } from "@respan/instrumentation-strands-agents";
import { z } from "zod";

const respan = new Respan({
  apiKey: process.env.RESPAN_API_KEY,
  baseURL: process.env.RESPAN_BASE_URL,
  instrumentations: [new StrandsAgentsInstrumentor()],
});
await respan.initialize();

const model = new OpenAIModel({
  api: "chat",
  modelId: "gpt-4.1-nano",
  apiKey: process.env.OPENAI_API_KEY,
});

const getWeather = tool({
  name: "get_weather",
  description: "Get the current weather for a city.",
  inputSchema: z.object({ city: z.string() }),
  callback: ({ city }) => `The weather in ${city} is sunny and 72F.`,
});

const agent = new Agent({
  name: "WeatherAgent",
  model,
  tools: [getWeather],
  systemPrompt: "You are a concise weather assistant.",
  printer: false,
});

await agent.invoke("What is the weather in Seattle?");