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## Summary Add flat profiling fields to `codex_turn_event` so analytics can explain where turn wall-clock time is spent without changing tool execution behavior. The profile reports: - time before the first sampling request - sampling time across all attempts and follow-ups - overhead between sampling requests - time blocked in the post-sampling tool drain - time after the final sampling request - sampling request and retry counts ## Implementation - Extend the existing turn timing state with constant-memory phase accounting and one RAII phase guard. - Observe sampling and the existing post-sampling drain only at turn orchestration boundaries. - Keep tool runtime, tool futures, response item handling, and turn lifecycle values unchanged. - Add the profiling fields directly to the existing analytics turn event without changing app-server protocol or rollout persistence. - Use the existing turn `status` to distinguish completed, failed, and interrupted profiles. Exact sampling/tool overlap is intentionally omitted because measuring tool completion accurately would require hooks in the tool execution path. ## Validation - Add app-server end-to-end coverage for a single-sampling turn with no blocking tool work. - Add app-server end-to-end coverage for `request_user_input` blocking followed by a second sampling request. - CI is running on the PR; tests were not executed locally per repository guidance.
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