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JsonGPT

JsonGPT simplifies JSON data generation from LLMs, offering validation, caching, and streaming.

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JsonGPT

JsonGPT's Top Features

Simple API integration
JSON validation
Hallucination removal
Prompt caching for cost savings
JSON streaming for fast updates
Re-fetching mechanism for error handling
Fallback mechanism for reliability
Multi-model LLM support
URL to JSON data extraction
Analytics for API usage monitoring

Frequently asked questions about JsonGPT

JsonGPT is an API that simplifies generating JSON data using AI, addressing the challenges of manually parsing and validating responses from LLMs.

Key features include a simple API, JSON validation, hallucination removal, prompt caching, JSON streaming, automatic re-fetching, fallback mechanisms, support for multiple AI models, and URL-to-JSON conversion.

JsonGPT supports models from OpenAI, Google Gemini, Meta Llama, Azure OpenAI, Groq, and Anthropic Claude, with potential for more.

JsonGPT uses a re-fetching mechanism to retry requests and fallback mechanisms to switch to alternative LLMs if one fails.

Yes, JsonGPT's prompt caching feature avoids redundant AI generation, saving money on repeated requests for the same data.

JsonGPT's 'hallucination removal' filters out inaccurate or irrelevant data in the JSON response, ensuring the data aligns with your request.

Yes, JsonGPT can extract JSON data from URLs, including websites, images, and PDFs, making it easier to integrate data from various external sources.

JsonGPT offers a free playground to test the API with a limited number of requests.

JsonGPT requires an API key for each LLM provider and supports HTTP methods like GET and POST for specifying prompts and schemas.

JsonGPT's API-based design allows for easy integration with various systems and platforms.

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