agentops/examples/openai

OpenAI Examples with AgentOps

This directory contains examples of using the OpenAI API with AgentOps instrumentation.

Prerequisites

• Python >= 3.10 < 3.13
• Install required dependencies:

  pip install agentops openai
  

Examples

1. Multi-Tool Orchestration

Example: multi_tool_orchestration This example demonstrates:

• Complex tool orchestration

2. Asynchronous OpenAI API calls

Example: openai_example_async

This example demonstrates:

• Asynchronous OpenAI API calls

3. Synchronous OpenAI API calls

Example: openai_example_sync

This example demonstrates:

• Synchronous OpenAI API calls

4. Web Search

Example: web_search

This example demonstrates:

• Web search functionality

5. o3 Responses API

Example: o3_responses_example

This example demonstrates:

• OpenAI's o3 reasoning model with the Responses API
• Tool calls and structured reasoning
• Complex decision-making scenarios
• AgentOps integration with reasoning models

AgentOps Integration

These examples show how to use AgentOps to monitor and analyze your AI applications. AgentOps automatically instruments your OpenAI calls to provide insights into performance, usage patterns, and model behavior.

To learn more about AgentOps, visit https://www.agentops.ai