openai-agents-sdk

Implement OpenAI Agents Python SDK features for tools, sessions, and handoffs.

Updated Jan 6, 2026

Search Tags:#python #tooling #sdk #agents #sessions #openai #handoffs

Ready to run

npx skills add https://github.com/Ahmednoorani258/Hackathon2-phase3 --skill openai-agents-sdk-ahmednoorani258

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-agents-sdk
Source: https://github.com/Ahmednoorani258/Hackathon2-phase3/tree/main/.claude/skills/openai-agents-sdk
Command: npx skills add https://github.com/Ahmednoorani258/Hackathon2-phase3 --skill openai-agents-sdk-ahmednoorani258

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydantic, agents, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This OpenAI Agents Python SDK provides a production-ready framework for building agentic AI applications in Python, enabling teams to create, orchestrate, and maintain intelligent agents with tools, sessions, and handoffs.

Core Features & Use Cases

Agents: LLMs with instructions and tools, enabling complex decision-making and task execution.
Tools: Function tools from Python functions with automatic schema generation, supporting sync and async workflows.
Sessions: SQLite-backed persistence for maintaining conversation state across turns.
Handoffs: Seamless delegation of tasks to specialized agents for complex workflows.
Guardrails: Input/output validation and safety mechanisms to ensure robust interactions.

Quick Start

Create a basic agent with a name and instructions, then run a simple query using a tool to verify tool integration.

Frequently Asked Questions about openai-agents-sdk

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

FAQPage Schema

How do I build AI agents in Python that use tools and manage sessions?▼

You can build production-grade AI agents in Python using the OpenAI Agents SDK by defining agents with instructions, attaching Python functions as tools via the function_tool decorator, and running them through the Runner class.

What is the best way to delegate tasks between specialized agents in Python?▼

The best way to delegate tasks between specialized agents is using the handoffs feature in the OpenAI Agents SDK, which enables seamless delegation of complex workflows to dedicated agents for targeted execution.

How do I create function tools from Python functions for an AI agent?▼

You create function tools by applying the function_tool decorator to standard Python functions, which generates the necessary schema automatically and supports both synchronous and asynchronous workflows for agent execution.

Can I maintain conversation state across turns with a SQLite-backed session?▼

Yes, you can maintain conversation state across turns by implementing SQLiteSession, a SQLite-backed persistence mechanism provided by the SDK to store and manage conversation history for agents.

Do I need pydantic to validate input and output for AI agents?▼

Yes, pydantic is a required dependency for the SDK. It supports the guardrails feature, which performs input and output validation to ensure robust safety mechanisms during agent interactions.