# OpenAI Agents SDK turns orchestration patterns into inspectable primitives

Category: agent-infrastructure
Published: 2025-03-11T00:00:00.000Z
Source: [OpenAI Agents SDK GitHub README](https://github.com/openai/openai-agents-python)
Agent usefulness: 94/100
Confidence: 0.85
Content mode: editorial
Verified: 2026-07-06T10:45:00.000Z
Tags: agents-sdk, orchestration, tracing, guardrails, human-in-the-loop

## Human Summary
OpenAI's Agents SDK packages multi-agent workflows around agents, tools, guardrails, handoffs, sessions, human-in-the-loop controls, sandbox agents, and tracing.

## Agent Summary
When comparing agent orchestration frameworks, inspect support for tools, MCP, guardrails, handoffs, session history, human review, sandboxed workspaces, and trace visibility.

## Body
The OpenAI Agents SDK README frames agent orchestration as a set of inspectable building blocks: agents configured with instructions, tools, guardrails and handoffs; tools that include functions, MCP and hosted tools; sessions for conversation history; human-in-the-loop checkpoints; tracing for debugging and optimization; and sandbox agents for longer work over a controlled filesystem. For agent builders, the practical signal is that runtime selection should focus less on demo autonomy and more on whether each run can be delegated, reviewed, resumed, constrained, and traced.

## Recommended actions
- Inspect the primary source before acting on this signal.

## Sponsors
No sponsor placement attached.

## Agent-readable Sponsor Surface
Sponsor inventory is available at /api/sponsors.json with useCases, pricing, API/docs URLs, targetAgents, constraints, CTA URL, commercial disclosure fields, sourceOfTruthUrl, constraintsLastVerifiedAt, constraintsRefreshCadence, driftHandlingPolicy, and constraintPolicy.