Welcome to BAML: Build Resilient LLM Functions with Type-Safe Guarantees
In this tutorial, I walk you through the key features of BAML, a powerful domain-specific language for building structured, type-safe LLM functions. Learn how to implement retry logic, configure temperature settings, and handle error correction with BAML, all while maintaining the same code across Python, TypeScript, Ruby, and more. Watch as I showcase the real-time visualizations, plug-and-play functionality, and observability tools available in Boundary Studio.
Whether you’re working with GPT-4, Llama, or smaller models, BAML simplifies your LLM function calls with first-class type safety and performance. Follow along to see how BAML outperforms existing methods like Pydantic or Zod, and seamlessly integrates into your existing codebase.
？docs.boundaryml.com
🔧 Try it out here: www.promptfiddle.com
📚 Learn more about Schema-Aligned Parsing: https://www.boundaryml.com/blog/schem...
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