BYOK Rollout with Claude Code: Result JSON Schema

A production playbook for BYOK rollout in cross-industry operations using Claude Code: result json schema, run-scoped inputs, logs, typed results, and artifacts.

Audience: B2B SaaS teams selling to enterprises

The problem

B2B SaaS teams selling to enterprises need BYOK rollout to run repeatedly against customer credential requirements, rotation policy, and audit expectations. In cross-industry operations, the pain is not one good answer; it is repeatability, auditability, exception handling, and evidence that survives handoff.

Implementation path

Define the outer result contract once, let the BYOK rollout skill own body.data, and reject terminal output that does not match the expected schema.

Tradeoffs and failure modes

Schema enforcement adds upfront design work, but removes prompt parsing from the product surface. For BYOK rollout, the practical test is whether a second run can be debugged, retried, and consumed by a product without reading the raw agent transcript.

Result shape

{
  "schema_version": "argo.result.v1",
  "summary": "BYOK rollout completed",
  "body": { "type": "byok_rollout", "data": {}, "exceptions": [] },
  "artifacts": []
}

Run this on Argo