BAML

Boundary is a developer platform focused on making AI more reliable by providing tools that help create structured, predictable outputs from large language models (LLMs). Its core technology, BAML (Basically a Made-up Language), lets users define, test, and manage prompts with type-safety and model flexibility, working across all major AI providers. This ensures that the outputs of AI systems are consistent and correct, reducing errors and making them suitable for real-world applications by everyone from tech startups to nonprofit organizations.

Key Features:

• Type-safe prompt and agent definitions, minimizing errors and inconsistencies in AI outputs.
• Supports multi-model workflows—compatible with OpenAI, Anthropic, Cohere, Gemini, and more.
• Easy integration with popular programming languages, including Python, TypeScript, and Ruby.
• Built-in testing, streaming, and automatic retry/fallback for robust performance in production.

Use Cases:

• Automating structured document analysis and data extraction (e.g., for processing freedom of information requests).
• Building reliable chatbots and virtual assistants that require strict output formats and multi-step reasoning.
• Ensuring highly accurate AI-driven workflow automation in enterprise or nonprofit environments.

Technical Specifications:

• BAML is an open-source, schema-focused prompting language—only prompts need rewriting, not your whole app.
• Offers a VSCode playground for fast prototyping, along with CI/CD test integration for agent workflows.
• Wide language and model support, letting developers utilize whichever tools and backends fit their needs.