openai-agents

Build OpenAI Agents SDK applications with text and voice agents, tools, handoffs, and guardrails.

264|11|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/coco-research/coco --skill openai-agents-coco-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-agents
Source: https://github.com/coco-research/coco/tree/main/skills/openai-agents
Command: npx skills add https://github.com/coco-research/coco --skill openai-agents-coco-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill removes the guesswork from building OpenAI Agents SDK applications by giving you a reliable, production-minded playbook for agents, tools, handoffs, streaming, guardrails, and voice workflows.

Core Features & Use Cases

  • Text agents and tools: Create assistants that call Zod-validated tools, return structured outputs, and keep responses predictable.
  • Multi-agent orchestration: Build triage, specialist handoffs, parallel execution, and agent-as-tool workflows for complex engineering tasks.
  • Voice and realtime apps: Set up browser or Node.js voice agents with WebRTC or WebSocket transports, plus safe session-token patterns.
  • Safety and reliability: Apply input and output guardrails, human approval gates, tracing, retry logic, and documented fixes for common SDK errors.
  • Platform integrations: Deploy agents in Next.js routes, Cloudflare Workers, Hono apps, and other TypeScript environments.

Quick Start

Ask the AI to design or debug an OpenAI Agents SDK workflow for your app, including the right agent structure, tools, guardrails, and runtime integration.

Frequently Asked Questions about openai-agents

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

FAQPage Schema
How do I build a multi-agent orchestration workflow with handoffs in Next.js?

Multi-agent orchestration in Next.js uses the OpenAI Agents SDK to configure triage, specialist handoffs, and parallel execution. You define agents with inline Zod schemas, structured outputs, and turn limits to keep complex engineering workflows predictable and safe.

Can I deploy realtime voice agents using WebRTC on Cloudflare Workers?

Realtime voice agents can be deployed on Cloudflare Workers using WebRTC or WebSocket transports. The implementation requires ephemeral browser session tokens for safe connections and integrates Node.js voice workflows with the OpenAI Agents SDK.

What's the best way to add guardrails and human-in-the-loop approval to AI agents?

Adding guardrails and human approval gates involves configuring input and output validation within the OpenAI Agents SDK. You enforce safety by applying Zod schemas, tracing, retry logic, and human-in-the-loop approval flows before executing sensitive agent actions.

Why does my streaming response fail with SDK errors during tool calls?

Streaming response failures during tool calls often stem from missing retryable error handling for documented SDK edge cases. You must implement proper tracing, turn limits, and Zod-validated structured outputs to ensure reliable streaming behavior.

Do I need inline Zod schemas for structured outputs in TypeScript agent applications?

Inline Zod schemas are required for structured outputs in TypeScript agent applications. They provide the validation necessary to keep responses predictable, ensure type safety, and satisfy the OpenAI Agents SDK's requirements for reliable tool execution.