AgentOps and OpenAI Agents SDK integration for powerful multi-agent workflow monitoring.
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OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. The SDK provides a comprehensive set of tools for creating, managing, and monitoring agent-based applications.
from agents import Agent, Runnerimport agentops# Initialize AgentOpsagentops.init()agent = Agent(name="Assistant", instructions="You are a helpful assistant")result = Runner.run_sync(agent, "Write a haiku about recursion in programming.")print(result.final_output)# Output:# Code within the code,# Functions calling themselves,# Infinite loop's dance.
import asynciofrom agents import Agent, Runner, function_toolimport agentops# Initialize AgentOpsagentops.init()@function_tooldef get_weather(city: str) -> str: return f"The weather in {city} is sunny."agent = Agent( name="Hello world", instructions="You are a helpful agent.", tools=[get_weather],)async def main(): result = await Runner.run(agent, input="What's the weather in Tokyo?") print(result.final_output) # The weather in Tokyo is sunny.if __name__ == "__main__": asyncio.run(main())
Final output is the last thing the agent produces in the loop:
If you set an output_type on the agent, the final output is when the LLM returns something of that type using structured outputs.
If there’s no output_type (i.e., plain text responses), then the first LLM response without any tool calls or handoffs is considered the final output.
Basic Agent
Multi-Agent
Tool Usage
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