QA Regression Triage with Codex: API Runtime Pattern
A production playbook for QA regression triage in cross-industry operations using Codex: api runtime pattern, run-scoped inputs, logs, typed results, and artifacts.
Audience: QA automation teams
The problem
QA automation teams need QA regression triage to run repeatedly against test failures, screenshots, logs, and recent changes. 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 QA regression triage instructions as a skill, send test failures, screenshots, logs, and recent changes 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 QA regression triage, 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=qa-regression-triage
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo