Where the workflow shifted
OpenAI Agents tracing treats agent runs, spans, and workflow inspection as part of the developer path, which makes every agent step explainable.
Teams should record the task entry, model steps, tool calls, output version, and failure point instead of only showing the final response.
Tool names are not outcomes
The signal matters when it changes how a team ships, reviews, or recovers work, not when it only names another tool.
Check permissions and failure
- Add run id, tool call, input, output, failure reason, and human handoff fields to one agent task
- Keep the test narrow: one low-risk task or tool entry before connecting permissions, logs, failure handling, and human takeover to production
What still needs proof
Without traces, failures become screenshots and guesses, and client responsibility becomes unclear. Keep the original source open so the announcement, the evidence, and this site's interpretation stay separate.