Boundary AI
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Boundary AI

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What is Boundary AI?

A type-safe language for building AI agents with structured outputs, testing, and multi-language support.

BAML is a domain-specific language for building AI agents with type safety and reliability. It provides a complete development workflow: define prompt functions, test them in VSCode or CI/CD, call them from any programming language (Python, TypeScript, Ruby, Go), and deploy anywhere. BAML generates native code, supports structured outputs, automatic retry and fallback, and works with every LLM provider.

Key Features

Type-safe AI interfaces
Structured outputs (JSON, XML, YAML)
Multi-language code generation
VSCode extension
CI/CD testing
Automatic retry and fallback
Works with all LLM providers
Native code generation
Prompt function definition
Testing playground

Use Cases

Developers define type-safe prompt functions in BAML and call them from Python, ensuring structured outputs and eliminating manual parsing.
Engineering teams test their AI agents in CI/CD pipelines with baml-cli test, catching regressions before deployment.
Data scientists extract structured data from resumes by writing a BAML schema and calling the generated function, getting validated JSON output.
Backend engineers integrate LLM calls into their TypeScript codebase with auto-generated types, reducing runtime errors.
AI researchers iterate on prompt designs using the VSCode playground, improving response quality by an order of magnitude.
Startups deploy BAML-generated agents on AWS Lambda or Vercel without additional infrastructure changes, leveraging existing deployment workflows.
Product teams build multi-step agent pipelines with automatic retry and fallback, ensuring reliability even when LLM providers experience outages.
AItype safetyprompt engineeringLLMstructured outputdeveloper toolsagent frameworkPythonTypeScriptVSCode extension

Alternatives

LangChain Marvin DSPy
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Frequently Asked Questions

What does Boundary AI do?

A type-safe language for building AI agents with structured outputs, testing, and multi-language support.

What are alternatives to Boundary AI?

Popular alternatives to Boundary AI include LangChain, Marvin, DSPy.

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