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.
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.
BAML offers a free starter plan that includes CLI tools and editor extensions, with paid options such as Team and Enterprise editions.
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.
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.
Pydantic AI is a Python-based framework for building generative AI agents and workflows. It combines data validation and type safety to help developers build reliable, structured production-grade AI applications and workflows.
Vellum AI is an end-to-end platform for AI product teams focused on AI agents and application development. It provides a visual workflow designer, prompt engineering, multi-model testing and evaluation, and one-click deployment to help you build, test, and deploy LLM-powered applications more efficiently from concept to production.
