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HassanRJ-3108
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OpenAI Agents SDK Skill

Create and orchestrate multi-agent AI systems with the OpenAI Agents SDK.

Updated Feb 8, 2026
Search Tags:#sdk#ai agents#orchestration#multi-agent systems#openai#guardrails#function calling
One-click install
npx skills add https://github.com/HassanRJ-3108/phase-4 --skill openai-agents-sdk-skill-hassanrj-3108
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: OpenAI Agents SDK Skill
Source: https://github.com/HassanRJ-3108/phase-4/tree/main/.claude/skills/openai-agents-sdk
Command: npx skills add https://github.com/HassanRJ-3108/phase-4 --skill openai-agents-sdk-skill-hassanrj-3108

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a robust framework for developing sophisticated multi-agent AI systems, enabling complex interactions, tool usage, and stateful conversations.

Core Features & Use Cases

  • Agent Orchestration: Define, configure, and coordinate multiple specialized AI agents.
  • Function Calling & Tools: Integrate Python functions as tools for agents, with Pydantic-based validation.
  • Handoffs & Guardrails: Implement seamless agent handoffs and robust input/output validation for safety and control.
  • Use Case: Create a customer support system where a triage agent routes user queries to specialized agents (e.g., billing, technical support), which can then use tools to fetch information or perform actions.

Quick Start

Use the openai-agents skill to create a simple agent that responds to a greeting.

Frequently Asked Questions about OpenAI Agents SDK Skill

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

FAQPage Schema
How do I build a multi-agent AI system for routing customer support queries?▼

The framework enables multi-agent orchestration by defining specialized agents and configuring handoffs to route queries. It supports agent coordination, allowing a triage agent to delegate tasks to specialized agents like billing or technical support.

How does function calling with Pydantic validation work for AI agents?▼

Function calling integrates Python functions as tools for agents, using Pydantic validation to enforce input schemas. This ensures agents interact with external tools safely and receive validated data structures during execution.

What are input and output guardrails in multi-agent AI orchestration?▼

Input and output guardrails provide robust validation for multi-agent systems, ensuring safety and control. They validate data entering and leaving agents, preventing invalid inputs from executing tools and restricting harmful outputs.

Can I use the OpenAI Agents SDK to manage stateful conversations across multiple agents?▼

Yes, the SDK supports session management to maintain stateful conversations across multiple agents. This enables production-grade applications to preserve context during complex interactions and multi-agent handoffs.

Do I need Pydantic to integrate function tools in my AI agent orchestration?▼

Pydantic is used for function tool integration to validate the inputs passed to Python functions. Using it ensures that the data agents send to your tools matches the expected schemas before execution occurs.

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