BAML

BAML is a domain-specific language designed to build type-safe, reliable AI agents and workflows, aimed at elevating the engineering maturity of LLM applications through structured outputs and an optimized developer experience.

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BAML AIAI agent development languagetype-safe LLM workflowsstructured output programmingmulti-model AI development toolsAI application engineering

Features of BAML

Type-safe prompt function definitions that convert LLM outputs into structured data

Supports major LLM providers and open-source models with multi-model orchestration

SDKs in multiple languages including Python and TypeScript for easy integration into existing projects

Equipped with VSCode extensions and other editors, offering real-time previews, autocompletion, and sandbox testing

Utilizes fuzzy parsing and related techniques to improve data extraction from unstructured text

Use Cases of BAML

When developers build AI agents or chatbots that require reliable structured outputs

Extracting and validating key data from unstructured documents such as PDFs and webpages

Integrating and managing complex LLM invocation logic in existing Python or TypeScript projects

Teams needing maintainable, testable engineering standards for AI workflows

FAQ about BAML

QWhat is BAML and what is it mainly used for?

BAML is a domain-specific language designed to build type-safe AI agents and workflows. Its core idea is turning LLM prompt engineering into maintainable, testable functions to improve development reliability and efficiency.

QWhat programming languages and AI models does BAML support?

It provides SDKs for Python, TypeScript, Go, Ruby, Java, and more, and is compatible with major LLM providers such as OpenAI, Anthropic, Google, and open-source models.

QIs there a cost to use BAML?

BAML offers a free starter plan that includes CLI tools and editor extensions, with paid options such as Team and Enterprise editions.

QHow does BAML help improve the development experience for AI apps?

It reduces maintenance costs in prompt engineering through type safety, compile-time checks, editor integration, and sandbox testing, while increasing the reliability of obtaining structured outputs from LLMs.

QWhat is the difference between BAML and Baidu BML platform?

BAML is an open-source programming language by BoundaryML focused on AI agent development, while Baidu BML is an AI development platform based on PaddlePaddle; they are completely different products.

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