What OpenAI Agents SDK is built for.
A lightweight SDK for tools, handoffs, guardrails, tracing and multi-agent workflows.
Official project and living documentationgithub.com/openai/openai-agents-python
How the architecture works
A run loop coordinates agents, tool calls and handoffs while tracing records how the workflow executed.
Who should choose it
Teams seeking a small SDK for tools, handoffs, guardrails and traceable multi-agent flows.
VCA DECISION RULE
Choose OpenAI Agents SDK when its core abstraction matches the system you need to operate. Do not choose it only because it is popular: first map the workflow, data, permissions, failure modes and deployment constraints.
How to evaluate the repository
- Run the smallest official example and identify where state, models and tools enter the system.
- Replace the demo task with one bounded use case and define acceptance tests before adding complexity.
- Trace cost, latency, tool permissions and failure recovery under realistic inputs.
- Review the project license, release activity and migration notes before committing production architecture.
Reviewed by VibeCode Academy on August 25, 2026. This independent guide synthesizes the official public README and repository metadata; it is not affiliated with or endorsed by the project owner. Names and marks belong to their respective owners.
Read the complete current README at the source →