openai-agents

Automate building AI agents with the OpenAI Agents SDK.

Updated Dec 31, 2025
One-click install
npx skills add https://github.com/Jawad-Chaudhary/Hackathone-2-TODO-Spec-Driven-Development --skill openai-agents-jawad-chaudhary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-agents
Source: https://github.com/Jawad-Chaudhary/Hackathone-2-TODO-Spec-Driven-Development/tree/main/Phase03/.claude/skills/openai-agents
Command: npx skills add https://github.com/Jawad-Chaudhary/Hackathone-2-TODO-Spec-Driven-Development --skill openai-agents-jawad-chaudhary

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates building AI agents with OpenAI Agents SDK to coordinate tools, conversation history, and stateless execution.

Core Features & Use Cases

  • OpenAI Agents SDK integration for initializing and running agents
  • Tool registration and management to extend agent capabilities
  • Conversation history handling with stateless execution for reproducible results
  • Run agents with recorded history and extract tool calls from results
  • Message format guidance for multi-turn conversations

Quick Start

Create an Agent with a name, model, and tools, then run it against a sample conversation to observe responses.

Frequently Asked Questions about openai-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents with the OpenAI SDK that can use tools and remember conversation history?

You build AI agents by initializing them with a name, model, and tools, then running them against conversations. This manages conversation history and executes stateless agent runs for reproducible results.

What is the process for registering tools with an AI agent using the OpenAI Agents SDK?

Tool registration extends agent capabilities by linking specific functions to the agent during initialization. You register tools when creating the agent to define what actions it can execute during a run.

Can I extract tool calls from results when running stateless AI agents?

Yes, you can extract tool calls from results after running stateless AI agents. The execution process supports extracting tool calls directly from the run output to analyze agent interactions.

Does the OpenAI Agents SDK support stateless execution for multi-turn conversations?

Yes, the SDK supports stateless execution for multi-turn conversations. It provides conversation history handling and message format guidance to maintain reproducible results across interactions.

When should I use stateless agent runs instead of persistent sessions?

Use stateless agent runs when you need reproducible results and explicit conversation history handling. This approach records history externally and passes it back in, rather than relying on persistent internal sessions.