OpenAI Agents SDK turns orchestration patterns into inspectable primitives
OpenAI's Agents SDK packages multi-agent workflows around agents, tools, guardrails, handoffs, sessions, human-in-the-loop controls, sandbox agents, and tracing.
Why this signal matters
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.
Actionable summary
When comparing agent orchestration frameworks, inspect support for tools, MCP, guardrails, handoffs, session history, human review, sandboxed workspaces, and trace visibility.
- Agent usefulness
- 94/100
- Confidence
- 85%
- Canonical data
- JSON + Markdown