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Converts input variables into specific types required by prompt components.
Distinct from Attribute Casting: Distinct from database attribute casting; this occurs during the rendering of a prompt template.
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Poml is a prompt management framework and templating engine designed for authoring, versioning, and rendering structured prompts for large language models. It uses a semantic markup language to organize prompts into reusable templates, combining them with dynamic context and data to generate formatted inputs. The system distinguishes itself by decoupling core prompt logic from final presentation through a stylesheet-based approach. It provides a dedicated JSON schema output generator to enforce strict, machine-parsable model responses and a configuration interface for managing function tool s
Converts input values into booleans, numbers, or objects based on the target component's expected data type.