Structured outputs you can trust
Define your expected format once. Every response matches your schema, every time.
Visual
Schema enforcement path
Prompt → provider → validator → structured JSON or retry.
Prompt
with schema
Provider
raw text response
Validator
json-schema enforcement
Decision
Valid → structured JSON
Invalid → retry / reject
Logged
Trace + replayable
structure: "product_card"
schema:
type: object
required: ["title", "price", "bullets"]
properties:
title: { type: "string" }
price: { type: "number" }
bullets: { type: "array", items: { type: "string" } }
on_invalid: "reject"
Define once
Store schemas and reuse them across workflows and providers.
Validate outputs
Responses are checked against your schema; invalid payloads retry or reject.
Log what shipped
Request logs include the final structured body for auditing and replays.
Output shape
Guaranteed
Clients always get the schema you define.
Recovery
Retry or reject
Choose how to handle invalid outputs.
Traceability
Logged
See the final structured payload in logs.
01 · Define
Create JSON schemas for outputs your app consumes.
02 · Enforce
Validate responses; retry or reject on drift.
03 · Deliver
Return predictable objects to downstream systems.
04 · Audit
Log final payloads to trace what shipped.
Use cases
- ● Product catalogs, pricing cards, or summaries that must stay consistent.
- ● Guardrails for downstream parsers and renderers.
- ● Governance where outputs need audit trails.
What’s unique
- ● Schema validation tied to your workflows.
- ● Integrates with streaming and failover.
- ● Final payloads visible in request logs.
Make AI outputs production-ready
Pair schemas with streaming and webhooks to deliver predictable, live, and verifiable results.