respan-instrumentation-openai-agents 1.1.1

Respan instrumentation plugin for the OpenAI Agents SDK

respan-instrumentation-openai-agents

Respan instrumentation plugin for the OpenAI Agents SDK. Captures agent traces, tool calls, handoffs, and LLM generations via the OTEL pipeline.

Configuration

1. Install

pip install respan-instrumentation-openai-agents

2. Set Environment Variables

Variable	Required	Description
RESPAN_API_KEY	Yes	Your Respan API key. Authenticates both proxy and tracing.
RESPAN_BASE_URL	No	Defaults to https://api.respan.ai.

All vendor-specific variables (e.g. OPENAI_API_KEY) are derived from these in your application code.

Quickstart

3. Run Script

import asyncio
import os
from agents import Agent, Runner
from respan import Respan
from respan_instrumentation_openai_agents import OpenAIAgentsInstrumentor

respan_api_key = os.environ["RESPAN_API_KEY"]
respan_base_url = os.getenv("RESPAN_BASE_URL", "https://api.respan.ai")

os.environ["OPENAI_API_KEY"] = respan_api_key
os.environ["OPENAI_BASE_URL"] = f"{respan_base_url}/api/openai"

respan = Respan(
    api_key=respan_api_key,
    base_url=respan_base_url,
    instrumentations=[OpenAIAgentsInstrumentor()],
)

agent = Agent(name="Assistant", instructions="You are a helpful assistant.")

async def main():
    result = await Runner.run(agent, "Hello!")
    print(result.final_output)

asyncio.run(main())
respan.flush()

4. View Dashboard

After running the script, traces appear on your Respan dashboard.

Further Reading

See the examples/openai-agents-sdk/ directory for runnable examples including tool use, handoffs, multi-agent workflows, guardrails, and streaming.