BAML Code Generation

소개

Accelerate the development of AI-powered applications using BoundaryML (BAML) through automated code generation and validation. This skill leverages real-time MCP queries to official repositories to synthesize types, functions, and client integrations for complex workflows like data extraction, classification, and RAG. By providing multi-language support and optimized token usage, it ensures highly accurate, type-safe implementations that adhere to the latest syntax and best practices, significantly reducing the barrier to building robust structured output systems.

주요 기능

• Automated generation of type-safe BAML functions, classes, and multi-language client integrations
• Advanced token optimization achieving 50-70% reduction in prompt overhead
• Comprehensive validation pipeline including syntax checks, type safety, and test generation
• Multi-stage pattern recognition for extraction, classification, RAG, and agent workflows
• 3 GitHub stars
• Real-time syntax validation and pattern modernization via official BoundaryML MCP servers

사용 사례

• Automating the creation of type-safe LLM prompts and model client configurations across multiple programming languages
• Building structured data extraction pipelines from multimodal inputs like images and audio
• Developing high-performance classification systems and citation-aware RAG applications