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AnasAhmed001
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openai-agents-sdk

Build and orchestrate multi-agent systems with the OpenAI Agents SDK in Python.

1|Updated Jan 2, 2026
Search Tags:#python#multi-agent#openai#OpenRouter#agents-sdk#liteLLM
One-click install
npx skills add https://github.com/AnasAhmed001/Q4-Hackathon-2 --skill openai-agents-sdk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-agents-sdk
Source: https://github.com/AnasAhmed001/Q4-Hackathon-2/tree/main/phase-3-todo-chatbot/.claude/skills/openai-agents-sdk
Command: npx skills add https://github.com/AnasAhmed001/Q4-Hackathon-2 --skill openai-agents-sdk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-agents[litellm], python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill provides expert guidance for building and debugging applications with the OpenAI Agents SDK in Python, helping teams implement robust multi-agent workflows and tool integrations without spending valuable time digging through docs.

Core Features & Use Cases

  • Multi-agent orchestration: configure and coordinate multiple agents to solve complex tasks.
  • Tool integration: define and use function tools for deterministic actions and data processing.
  • Model integration: connect to providers via OpenRouter LiteLLM for flexible model access.
  • Debugging and observability: guidance on tracing, error handling, and monitoring agent performance.
  • Real-world patterns: practical templates for handoffs, coordination, and collaboration among agents.

Quick Start

Create a simple Weather Assistant or Math Tutor using two function tools, then extend to cross-provider models with LiteLLM integration for OpenRouter.

Frequently Asked Questions about openai-agents-sdk

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

FAQPage Schema
How do I orchestrate multi-agent systems in Python using the OpenAI Agents SDK?▼

You orchestrate multi-agent systems by configuring and coordinating multiple agents within the OpenAI Agents SDK. It provides templates for handoffs, coordination, and collaboration among agents to solve complex tasks like data processing and decision making.

Can I connect the OpenAI Agents SDK to OpenRouter using LiteLLM?▼

Yes, you can connect the OpenAI Agents SDK to OpenRouter using LiteLLM for flexible model access. This integration enables cross-provider model access, allowing you to route agent requests to various external providers beyond the default OpenAI models.

How do I define and use function tools with OpenAI Agents SDK for deterministic actions?▼

You define and use function tools within the OpenAI Agents SDK to execute deterministic actions and data processing. This allows your agents to interact with external systems and perform specific, reliable operations rather than relying solely on model generation.

What is the best way to debug and trace agent performance in the OpenAI Agents SDK?▼

The best way to debug agent performance is by utilizing the OpenAI Agents SDK's observability features for tracing and error handling. This approach helps monitor execution paths, resolve issues across real-world tasks, and ensure robust multi-agent workflows.

Do I need Python and python-dotenv to build agents with the OpenAI Agents SDK?▼

Yes, you need Python and python-dotenv to build agents with the OpenAI Agents SDK. The python-dotenv dependency manages environment variables for API keys, while the core SDK requires Python to execute the multi-agent orchestration logic.

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