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Agency Swarm supports multiple observability approaches to help you track and analyze your agent’s behavior and performance.

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Supported Observability Platforms

Agency Swarm supports three main observability approaches:

OpenAI Tracing

Built-in tracing using OpenAI’s native tools

Langfuse

Advanced tracing and debugging platform

AgentOps

Specialized agent monitoring and analytics

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Getting Started

Let’s walk through setting up each tracing solution. You can use them individually or combine them for monitoring.
  • OpenAI Tracing
  • Langfuse
  • AgentOps
1

Basic Setup

OpenAI tracing is built into Agency Swarm and requires no additional packages.
2

Implementation

from agency_swarm import trace

async def openai_tracing(input_message: str) -> str:
    agency_instance = create_agency()
    with trace("OpenAI tracing"):
        response = await agency_instance.get_response(message=input_message)
    return response.final_output
3

View Traces

After running your code, view your traces at platform.openai.com/traces

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Implementation Example

For a complete working example that demonstrates all three tracing methods with a multi-agent agency, see observability.py in the examples directory. The example shows:
  • How to set up a basic agency with CEO, Developer, and Data Analyst roles
  • Implementation of all three tracing methods (OpenAI, Langfuse, AgentOps)
  • A sample tool for data analysis
  • Error handling and proper tracing setup
You can run the example with: 
python examples/observability_demo.py
For more information about each platform’s capabilities and configuration options, refer to their respective documentation:
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