OpenAI Agents SDK
EcosystemOpenAI's official SDK for building agentic applications, with tool calling and handoff primitives that integrate with UCP endpoints for structured commerce actions.
The OpenAI Agents SDK is OpenAI's official library for building production-grade agentic applications. It evolved from OpenAI's experimental Swarm library and provides primitives for tool calling, agent handoffs, and structured output parsing. It integrates natively with OpenAI's models including GPT-4o and o-series reasoning models.
The SDK's tool calling pattern maps directly to UCP capabilities. Developers define Python functions decorated as tools, and the SDK handles the full loop of sending tool definitions to the model, parsing tool call responses, executing the functions, and returning results to the model. UCP endpoints become first-class tools: a function that calls a UCP catalog endpoint, a function that initiates a UCP checkout session, a function that queries order status.
OpenAI's structured output feature integrates well with UCP's typed response schemas. When an agent calls a UCP catalog endpoint, the structured output parser can enforce that the response matches the expected schema before passing it to the model, catching malformed merchant implementations early.
The Agents SDK's handoff mechanism lets developers build multi-agent commerce workflows where a general-purpose assistant hands off to a specialized shopping agent when a commerce intent is detected. The shopping agent carries the consumer's UCP payment token and identity token, executes the UCP workflow, and hands control back to the general assistant with the order confirmation. This pattern keeps payment credentials scoped to the agent that needs them.
Why This Matters for UCP
The OpenAI Agents SDK provides the tool calling, structured output, and handoff primitives that connect OpenAI models to UCP endpoints, serving as the official bridge between GPT-4o and the agent commerce ecosystem.
UCP Capabilities
UCP Endpoint
Ecosystem — Endpoint not yet publicly available
Integration Example
// OpenAI Agents SDK with UCP tools (Python)
from agents import Agent, Runner, function_tool
import httpx
@function_tool
async def search_catalog(merchant_domain: str, query: str) -> dict:
"""Search a UCP-enabled merchant's product catalog."""
manifest = httpx.get(f"https://{merchant_domain}/.well-known/ucp").json()
return httpx.post(manifest["catalogEndpoint"], json={"query": query}).json()
@function_tool
async def place_order(merchant_domain: str, sku: str, quantity: int, payment_token: str) -> dict:
"""Place an order through a UCP checkout endpoint."""
manifest = httpx.get(f"https://{merchant_domain}/.well-known/ucp").json()
return httpx.post(manifest["checkoutEndpoint"], json={
"items": [{"sku": sku, "quantity": quantity}],
"paymentToken": payment_token,
}).json()
shopping_agent = Agent(
name="Shopping Agent",
instructions="Help users find and purchase products through UCP-enabled merchants.",
tools=[search_catalog, place_order],
)
result = await Runner.run(shopping_agent, "Find and buy a blue merino wool sweater under $150.")Category
Agent FrameworksUCP Status
EcosystemTags
Pricing
free
Is this your listing? Claim it to get analytics, a verified badge, and priority placement. Claim your listing →
Reviews
★★★★★4.7 (3 reviews)These are illustrative examples to show what reviews will look like. Submit your own experience below.
M. Lee
Backend Developer · Mar 3, 2026
Works well for our use case. The documentation is accurate and the implementation matches what the spec describes.
R. Kapoor
Platform Engineer · Jan 15, 2026
Integrated in an afternoon. Solid implementation with no unexpected edge cases in production.
J. Santos
Senior Engineer · Feb 28, 2026
Integration was straightforward. The UCP endpoint discovery works as documented and checkout completes in under 2 seconds.
12 other tools in Agent Frameworks
Is this your tool? Claim this listing