OpenAI Agents SDK: Lightweight Python Framework for Multi-Agent Orchestration

by | Dec 7, 2025

OpenAI Agents SDK concept illustration with interconnected agent nodes.

Overview

The OpenAI Agents SDK is a Python-first framework designed to simplify the orchestration of multi-agent systems. Unlike monolithic agent architectures, it focuses on composability through distinct primitives: Agents (LLMs with instructions and tools), Handoffs (mechanisms for delegating tasks between agents), Guardrails (input/output validation), and Tracing (observability). It supports both the OpenAI Responses API and Chat Completions API, as well as non-OpenAI models via LiteLLM integration. The SDK automates the “agent loop”—managing tool calls and execution—while allowing developers to define workflows using standard Python code rather than complex new abstractions.

Provider: OpenAI

Agentic ID: openai-agents-sdk

Release: 2025-12-04

Status: Public Preview

Architecture

Summary

The architecture centers on the Runner, which executes an Agent Loop. The flow begins with a User input processed by a Triage Agent. If the task exceeds the agent’s scope, a Handoff is triggered, transferring context to a Specialist Agent. All interactions are wrapped in Guardrails for safety and logged via Tracing. Tools are executed locally or via API, with results fed back into the loop until a final response is generated.

OpenAI Agents SDK Architecture: Flow of control from User to Runner, utilizing Handoffs between Triage and Specialist Agents with integrated Guardrails.
v20251207

Supported Models

🤖 GPT-5.1

🤖 GPT-4o

🤖 o1-preview

🤖 Claude 3.5 Sonnet (via LiteLLM)

Capabilities & Deployment Modes

Agent Capabilities: Tool Use, Planning, Memory, Multi-Agent, Safety, Guardrails, Monitoring

Deployment Modes: Cloud, Local, Hybrid

Key Features

🟢 Lightweight agent definitions using Python classes with instructions and tools.

🟢 Explicit **Handoffs** allowing agents to delegate tasks to specialized peers.

🟢 Built-in **Guardrails** for input/output validation and safety checks.

🟢 Automatic **Agent Loop** management for tool execution and result processing.

🟢 Integrated **Tracing** for visualizing and debugging multi-agent workflows.

Feature Details

Handoffs

Status: Public Preview

Announced: 2025-12-04

Description: Mechanism for one agent to transfer responsibility and context to another specialized agent.

Guardrails

Status: Public Preview

Announced: 2025-12-04

Description: Validation layer for checking inputs and outputs against safety policies.

Tracing

Status: Public Preview

Announced: 2025-12-04

Description: Built-in observability to monitor agent reasoning, tool usage, and execution flows.

Integration Methods

Python SDK

OpenAI Responses API

LiteLLM Integration