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AI Native › AI Agent › Structured Output › BAML

CRASH COURSE · AI-NATIVE · beginner · 9 min read · v0.5

BAML.

structured-outputai-nativebamlschema

TL;DR — BAML defines schemas and prompt functions in a dedicated language, then compiles them into runtime clients.

What it is

It separates prompt and schema contracts from application code with typed interfaces.

Why it exists

Large teams need maintainable prompt contracts and versioned structured outputs.

Install

npm install @boundaryml/baml

Basic usage

# define baml schema and functions
# generate typed client and call from app

When to use, when to skip

Use it when this category is a bottleneck in your agent stack and you want faster delivery with fewer custom components.

Skip it when your workload is tiny, requirements are fixed, or a plain provider SDK plus a few local functions is enough.

Alternatives

Compare with adjacent tools in the same AI Native category and choose based on interface style, deployment model (hosted vs self-hosted), and team familiarity.

Verified against project documentation, June 2026.

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