OpenAI Agents SDK#

Summary#

The OpenAI Agents SDK is a production-ready Python framework for building multi-agent systems, launched as the successor to the experimental openai-swarm. With 26.2K GitHub stars, it provides handoffs, guardrails, tracing, and MCP integration on top of OpenAI models.

Key Takeaways#

Swarm is now legacy: The Agents SDK is the official production path. Swarm remains educational only.
Two core primitives: Agents (model + tools + instructions) and Handoffs (functions that return another agent). Same conceptual model as Swarm but with production features.
Guardrails: Built-in input/output validation — a major gap in Swarm.
Tracing: Native OpenTelemetry support for debugging reasoning paths and handoff decisions.
MCP support: Native Model Context Protocol integration for external tools.
Sandbox environments (May 2026): Agents can inspect files, run commands, edit code in isolated containers — positioning for coding agent use cases.
OpenAI-model-locked: No multi-provider support. This is the key limitation vs google-adk and microsoft-agent-framework.
Python-only: No .NET, Go, Java, or TypeScript SDK (TypeScript planned).

Architecture#

Flat handoff-based coordination (not graph-based):

Agent wraps model config + tools
Handoff = function returning another Agent
SDK handles context switch automatically
Cheaper models for routing, stronger for reasoning

Production Control Patterns (April 2026)#

Guardrails — validate/block risky work
Human approvals — pause before sensitive actions
Orchestration — specialist ownership vs bounded helper
MCP trust boundaries — control external capability access
Tracing + trace-based evals — score workflow behavior

Positioning#

Dimension	OpenAI Agents SDK
Model support	OpenAI only
Languages	Python
Orchestration	Flat handoffs
State	Session-based
Interop	MCP (tools)
Production features	Guardrails, tracing, sandboxes
Graph workflows	No

Openai Agents Sdk