OpenAI Agents SDK (Python)

Use this skill when developing AI agents using OpenAI Agents SDK (openai-agents package).

Quick Reference

Installation

uv add openai-agents        # or `pip install openai-agents` outside a uv project

Environment Variables

OPENAI_API_KEY=sk-...

Using Azure or another provider instead? See agents.md — don't hardcode provider env vars here, they vary and go stale.

Basic Agent

from agents import Agent, Runner

agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant.",
    model="gpt-5.6-sol",  # or "gpt-5.6-terra" / "gpt-5.6-luna" (cheaper tiers). There is no
                          # bare "gpt-5.6" — every GPT-5.6 call names a variant. Verify
                          # current IDs from the model catalog.
)

# Synchronous
result = Runner.run_sync(agent, "Tell me a joke")
print(result.final_output)

# Asynchronous
result = await Runner.run(agent, "Tell me a joke")

Key Patterns

Preferred: Live Docs via MCP

Model names and API details change frequently. When available, consult the OpenAI Developer Docs MCP server (openaiDeveloperDocs) before relying on the static references below.

Setup (Codex CLI):

codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp

Or config (~/.codex/config.toml, VS Code .vscode/mcp.json, Cursor ~/.cursor/mcp.json):

[mcp_servers.openaiDeveloperDocs]
url = "https://developers.openai.com/mcp"

Key tools: mcp__openaiDeveloperDocs__search_openai_docs, fetch_openai_doc, list_api_endpoints, get_openapi_spec.

Rules: Cite fetched docs. Never speculate on field names, defaults, or current model IDs — fetch first. Keep quotes under 125 chars.

Fallback when MCP is unavailable: https://developers.openai.com/api/docs/llms.txt (plain-text index of all API docs; each entry has a .md twin at /api/docs/<slug>.md).

Reference Documentation

Offline/quick-lookup snippets. Verify model names and API signatures against the MCP or docs when accuracy matters.

• agents.md - Agent creation, multi-provider setup via LiteLLM
• tools.md - Function tools, hosted tools, agents as tools
• structured-output.md - Pydantic output, AgentOutputSchema
• streaming.md - Streaming patterns, SSE with FastAPI
• handoffs.md - Agent delegation
• guardrails.md - Input/output validation
• sessions.md - Sessions, conversation history
• patterns.md - Multi-agent workflows, LLM as judge, tracing

Official Documentation

• Docs: https://openai.github.io/openai-agents-python/
• Examples: https://github.com/openai/openai-agents-python/tree/main/examples
• Major update: https://openai.com/index/the-next-evolution-of-the-agents-sdk/
• Docs MCP setup: https://developers.openai.com/learn/docs-mcp
• Docs index (llms.txt): https://developers.openai.com/api/docs/llms.txt
• Current model IDs: https://platform.openai.com/docs/models