Project Title

baml — The AI framework that adds engineering to prompt engineering, compatible with multiple languages

Overview

BAML is a versatile AI framework designed to simplify prompt engineering by transforming it into schema engineering, focusing on the models of your prompts to achieve more reliable outputs. It allows developers to integrate LLM functions into their applications using various programming languages, including Python, TypeScript, Ruby, Java, C#, Rust, and Go. BAML offers a robust solution with full type safety, streaming, retries, and wide model support.

Key Features

Full type safety for reliable outputs
Supports streaming and retries for robust operations
Wide model support, even for models without native tool-calling APIs
Compatible with multiple programming languages for LLM function integration
Native tooling for IDEs like VSCode for faster testing and development

Use Cases

Building AI workflows and agents with reliable outputs
Integrating LLM functions into applications written in various programming languages
Developing chatbots and other conversational agents with structured prompts
Enhancing developer productivity with IDE tooling for prompt visualization and testing

Advantages

Simplifies prompt engineering by focusing on schema engineering
Generates type-safe outputs for each chunk in the stream
Enables the creation of complex agents and workflows using chained BAML functions
Provides a structured approach to prompt engineering, reducing the need for extensive trial and error

Limitations / Considerations

The project's license is currently unknown, which may affect its use in commercial applications
As a relatively new framework, there may be a learning curve for developers unfamiliar with schema engineering
The effectiveness of BAML depends on the quality and compatibility of the underlying models used

OpenAI's GPT: A large language model that can be used for various AI applications, but lacks the structured prompting approach of BAML.
Hugging Face's Transformers: A library of pre-trained models for natural language processing, which can be used in conjunction with BAML for enhanced functionality.
LangChain: A framework for building applications with LLMs, offering a different approach to integrating language models into workflows.

Basic Information

GitHub: https://github.com/BoundaryML/baml
Stars: 6,779
License: Unknown
Last Commit: 2025-11-17

📊 Project Information

Project Name: baml
GitHub URL: https://github.com/BoundaryML/baml
Programming Language: Rust
⭐ Stars: 6,779
🍴 Forks: 329
📅 Created: 2023-10-06
🔄 Last Updated: 2025-11-17

🏷️ Project Topics

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📚 Documentation

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baml

Project Description