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
Define expected JSON structure
AI provider responds
Raw text or JSON from model
Schema validation
JSON-schema enforcement
Decision point
Valid → return structured JSON
Invalid → retry or reject
Trace + replayable
Full request logged for debugging
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.
Programmatic access
Attach structured outputs to workflows or pass inline
POST https://api.modelriver.com/v1/ai Authorization: Bearer mr_live_your_key { "workflow": "product-extractor", "messages": [...] } // Response returns validated structured data: { "data": { "name": "Widget Pro", "price": 49.99, "category": "Electronics" }, "meta": { "structured_output": true } }
Define JSON schemas in the console and attach them to workflows. Responses are validated automatically.
Make AI outputs production-ready
Pair schemas with streaming and webhooks to deliver predictable, live, and verifiable results.