Turn agent output into a reviewed action register
Build a typed OpenAI Agents SDK result from your own notes, review its source evidence and meaning, then pass the accepted result to a local Markdown action register with hash readback.
The big change
What changed: The OpenAI Agents SDK accepts a Pydantic output_type, so an application can ask an agent for a defined result and check it again before using it. This example adds source citations and a versioned contract around that result.
Why it matters: A developer connecting an agent to another work step can stop malformed, incomplete or unsupported output before it becomes an action list. A reviewer still has to judge whether the quoted notes actually support every task, owner and date, and whether the model omitted anything.
What to watch: The decision point is the consumer boundary. This recipe produces a local triage register only after approval of the exact run, source and candidate. A later task-system import would need its own authority, retry policy and destination readback.







