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OpenAI Agents SDK

Free

Build sophisticated multi-agent AI workflows with a lightweight, provider-agnostic Python framework

Software DevelopmentFreeFree tier
#multi-agent#agent-framework#ai-sdk#openai#python#agent-workflows#handoffs#guardrails#mcp#model-context-protocol#tracing#human-in-the-loop#sandbox-agents#realtime-agents#voice-agents#open-source#llm-framework#multi-provider
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Type
Saas
Company
OpenAI
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OpenAI Agents SDK screenshot

About OpenAI Agents SDK

The OpenAI Agents SDK is an open-source, lightweight Python framework for building sophisticated multi-agent workflows. It is provider-agnostic, supporting OpenAI's Responses and Chat Completions APIs along with over 100 other LLMs via integrations like LiteLLM. The SDK introduces core concepts such as agents configured with instructions, tools, guardrails, and handoffs; sandbox agents that operate inside containerized environments for long-running tasks; and realtime voice agents using the gpt-realtime-2.1 model. Built-in features include configurable input/output guardrails, human-in-the-loop patterns, automatic session management, and integrated tracing for debugging and optimization. The framework is designed for flexibility—agents can delegate tasks via handoffs, use various tool types (functions, MCP, hosted tools), and run on any platform with Python 3.10+.

Key Features

Agent configuration with instructions, tools, guardrails, and handoff capabilities
Sandbox Agents for operating within controlled container environments with filesystem and command execution access
Inter-agent handoffs for task delegation between specialized agents
Tool support including standard functions, Model Context Protocol (MCP), and hosted tools
Configurable input and output guardrails for safety validation
Built-in human-in-the-loop patterns for human intervention during agent runs
Automatic session management for conversation history across multiple runs
Integrated tracing for debugging, viewing, and optimizing workflows
Realtime Agents support for voice-based workflows using gpt-realtime-1.5
Provider-agnostic: supports OpenAI models and 100+ other LLMs via any-llm and LiteLLM

Pros & Cons

Pros
  • Lightweight and easy to set up with pip or uv
  • Provider-agnostic, works with 100+ LLMs beyond OpenAI
  • Sandbox agents support long-horizon tasks with isolated filesystem and shell
  • Built-in tracing for debugging and optimization
  • Configurable guardrails and human-in-the-loop for safe deployments
  • Realtime voice agents with full agent features (tools, handoffs, guardrails)
  • Free and open-source with an active community on GitHub
Cons
  • Requires Python 3.10 or newer
  • Sandbox agent Windows support requires Docker (DockerSandboxClient)
  • Framework may have a learning curve for complex multi-agent patterns

Best For

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