LMQL

What it is

Natural language querying for large models\nNatural language querying for large models is a tool that allows users to input natural language queries and receive output from a large language model. It also provides features such as constraints, debugging, retrieval, control flow, automatic token generation and validation, and support for arbitrary Python code.

Features

• Constraints—Specify conditions for the generated output to meet specific criteria.
• Debugging—Analyze and understand how the LLM generates the output, helping in fine-tuning and error identification.
• Retrieval—Access pre-built prompts for common tasks, providing a convenient starting point.
• Control Flow—Use Python control flow statements to have more control over the generation process.
• Automatic Token Generation and Validation—Generate the required tokens automatically and validate the produced sequence based on provided constraints.
• Support for Arbitrary Python Code—Include dynamic prompts and text processing using Python code.

Pricing

Pricing model: Free