LLM Output Parser

LLMs often return structured data buried inside unstructured text. Instead of writing custom regex or manual parsing, you can now use LLM Output Parser to instantly extract the most relevant JSON/XML structures with just one function call.

Key Features

• Extracts JSON and XML from raw text, markdown code blocks, and mixed content.
• Handles complex formats, including nested structures and multiple objects.
• Converts XML into JSON-compatible dictionaries.
• Intelligently selects the most comprehensive structure.
• Provides robust error handling and recovery.

Benefits

• Simplifies the process of handling LLM outputs.
• Saves time and effort in parsing complex data structures.
• Provides a reliable and efficient solution for developers working with LLMs.

Availability

LLM Output Parser is available as a lightweight yet powerful Python package. Whether you’re working with JSON or XML, this tool ensures seamless extraction of structured data from unstructured text generated by Large Language Models.

Release LLM Output Parser today and streamline your workflow with this essential AI tool!