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Defining dedicated fields in an output schema to force models to provide a chain-of-thought justification.
Distinguishing note: No candidate describes the architectural embedding of reasoning fields into a structured output schema to enforce justification.
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BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg
Includes dedicated fields within the output object to force the model to provide justifications.