OpenAI Agents Python
ActiveDescription
A lightweight, powerful framework from OpenAI for building multi-agent workflows with tool calling, agent handoffs, and guardrails.
Key Features
- Multi-agent workflow orchestration — Agent-to-agent task delegation via Handoffs and Agents-as-tools patterns
- Sandbox Agent — Pre-configured containerized agents with filesystem, commands, patches for long-running tasks
- Guardrails — Configurable input/output validation to ensure agent behavior is safe and controlled
- Built-in tracing — Automatic tracking of agent runs for viewing, debugging, and optimizing workflows
- Realtime voice agents — Build voice interaction agents with gpt-realtime-2 and full agent capabilities
- Provider agnostic — Supports OpenAI Responses/Chat Completions APIs plus 100+ other LLMs
Use Cases
💡 Customer service multi-turn system — Build multi-agent pipelines with routing, specialized responses, human escalation
💡 Code review & modification — Use Sandbox Agent to review code, run tests, and apply patches in isolated environments
💡 Data analysis workflow — Orchestrate specialized agents for data collection, cleaning, analysis, and report generation
💡 Voice interaction applications — Build real-time voice conversation agents for customer service or voice assistants
💡 Content moderation & safety — Use Guardrails to review agent inputs/outputs for safety and content filtering
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (29.1k stars)
- • Permissive open-source license (MIT)
- • Responsive to issues, low backlog
Categories
Quick Start
pip install openai-agents
export OPENAI_API_KEY={your-key}
from agents import Agent, Runner
agent = Agent(
name="assistant",
instructions="You are a helpful assistant."
)
result = Runner.run_sync(agent, "What are multi-agent systems?")
print(result.final_output)