Structured Output Playground

Test LLM structured outputs with real API calls. Define schemas using TypeScript interfaces, Python Pydantic models, or JSON example data (types auto-inferred). Get guaranteed JSON responses that match your types.

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Example: sk-proj-abc123...

Examples:

schema.ts

Valid

Valid typescript schema

Keyboard Shortcuts

TabIndent

Cmd+SExecute

OpenAI JSON Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string"
    },
    "email": {
      "type": "string"
    },
    "age": {
      "type": "number"
    },
    "isActive": {
      "type": "boolean"
    },
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "name",
    "email",
    "age",
    "isActive",
    "tags"
  ],
  "additionalProperties": false
}

System

System Instruction

Optional: Sets the assistant's behavior and context. Leave empty to use default.

User

Prompt

Type-Safe Outputs

Get guaranteed JSON responses that match your TypeScript interfaces or Python Pydantic models. No more parsing failures.

Production Testing

Test your schemas with real LLM calls before deploying to production. Validate outputs and tune prompts.

Multi-Language

Define schemas in your preferred language: TypeScript interfaces, Python Pydantic models, or JSON example data (we infer the schema). Zero boilerplate.