baml-integration

To generate type-safe LLM prompts for Python and TypeScript, define framework-agnostic BAML schemas and DTO patterns. This workflow produces consistent typed DTOs, wrappers, and cross-language clients across both ecosystems.

The best way to standardize LLM prompting and cross-language code generation is using framework-agnostic BAML patterns. This approach ensures consistent schema design, DTO generation, and client wrappers across multi-language workflows.

Yes, you can use BAML to build a wrapped LLM gateway because it is framework-agnostic. It supports cross-language tooling and multi-language workflows by generating typed DTOs and client wrappers across Python and TypeScript.

To design BAML DTOs and generate cross-language clients, follow a framework-agnostic workflow to define your schema. This process generates typed Python and TypeScript clients and builds a safe, maintainable wrapped LLM gateway.

You need framework-agnostic patterns for LLM schema design to address the lack of standardized, type-safe prompting. This ensures safe, maintainable prompts and consistent DTO generation across different project services.