Incident Timeline Reconstruction with Codex: API Runtime Pattern
A production playbook for incident timeline reconstruction in cross-industry operations using Codex: api runtime pattern, run-scoped inputs, logs, typed results, and artifacts.
Audience: SRE and engineering leaders
The problem
SRE and engineering leaders need incident timeline reconstruction to run repeatedly against logs, deploy events, alerts, and chat exports. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.
Implementation path
Package the incident timeline reconstruction instructions as a skill, send logs, deploy events, alerts, and chat exports as run-scoped inputs, execute with Codex, poll terminal status, and consume argo.result.v1 instead of parsing a transcript.
Tradeoffs and failure modes
The API boundary forces the workflow to define inputs, terminal states, and result shape before customers depend on it. For incident timeline reconstruction, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.
Run request
POST /api/skills/<skill_id>/run
provider=codex
workflow=incident-timeline
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo