Structured Output

About

This skill provides a standardized way to enforce and parse structured JSON responses across different AI providers including OpenAI, Anthropic, Google Gemini, and Ollama. It simplifies data extraction by allowing developers to define schemas once and receive pre-parsed Python dictionaries, eliminating the need for manual string parsing or custom prompt engineering for different models. With support for strict validation, nested objects, and enums, it ensures that model outputs are reliable, type-safe, and ready for immediate use in production applications.

Key Features

• Support for complex nested structures, arrays, and enum-based classification
• Automatic adaptation of JSON schemas to provider-specific requirements
• Strict mode enforcement to guarantee outputs match schemas exactly
• Unified JSON schema API compatible with OpenAI, Anthropic, Google, and Ollama
• 3 GitHub stars
• Automatic validation and parsing of LLM responses into Python dictionaries

Use Cases

• Generating structured content like blog posts or product lists for direct database entry
• Extracting specific entities and contact information from unstructured text
• Classifying sentiment or status with guaranteed valid enum values