Prompt ➔ JSON
Convert unstructured developer prompts, commands, and fields lists into production-ready JSON validation schemas in-browser.
1. Input Prompt Specifications
2. Generated JSON Schema
How It Works
This utility parses variable names, data types (string, number, boolean, array, enum), and descriptors directly from your meta-prompts. It maps identified entities to draft properties under a standard JSON Schema draft-07 document structure, automatically configuring nested arrays and enum constraints.
Use Cases
- Generating schemas for structured LLM API calls (e.g. OpenAI function calling, Gemini structured output).
- Bootstrapping validation parameters for local JSON parser APIs.
- Enforcing validation guardrails over raw multi-agent loop handoffs.
Planned CLI
Deploy prompt validations offline inside your local codebase via our planned command:
ℹ Planned install command: pip install tesserakit-core tesserakit-prompts