Boundary

BAML is an open-source toolkit designed to help developers build AI applications with a strong focus on type safety and reliability. It introduces a new language and workflow for defining, testing, and deploying AI agents, making it easier to create robust and maintainable AI pipelines.

With BAML, developers can define prompts and functions in a schema that automatically generates TypeScript types, ensuring that interactions with large language models (LLMs) are type-safe and validated. This approach reduces errors and increases confidence in the outputs, regardless of the LLM provider or programming language used.

The platform supports a variety of output formats, including JSON, XML, and YAML, and integrates seamlessly with CI/CD pipelines for automated testing. Features like automatic retries, fallback responses, and a dedicated testing playground help teams iterate quickly and maintain high-quality AI agents.

BAML is praised by users for its ability to streamline AI development, improve code organization, and deliver structured data from LLMs without complex prompt engineering. Its compatibility with popular languages like Python and TypeScript makes it a versatile choice for modern AI projects.