Customer Data Redaction with Codex: API Runtime Pattern
A production playbook for customer data redaction in cross-industry operations using Codex: api runtime pattern, run-scoped inputs, logs, typed results, and artifacts.
Audience: Privacy and support teams
The problem
Privacy and support teams need customer data redaction to run repeatedly against documents, logs, screenshots, and redaction policy. 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 customer data redaction instructions as a skill, send documents, logs, screenshots, and redaction policy 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 customer data redaction, 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=customer-data-redaction
inputs[]=@./input-pack.zip
result_schema=argo.result.v1
Run this on Argo