Intent Architecture & Deterministic Semantic Compilers

Extracts action verbs, target resources, scope boundaries, and latency budgets from user prompts.

Constructs a structured tree representation of dependencies, conditions, and tool execution orders.

Strictly validates parameter types and required fields against schema definitions before dispatch.

Routes simple extraction tasks to sub-cent small models and reserves expensive reasoning models for complex logic.

Caches compiled AST execution graphs, allowing identical future requests to execute with zero LLM API cost.

Evaluates enterprise access policies against the compiled AST before making any mutating API calls.

Provides full auto-complete and compile-time type checking for all agent inputs and outputs.

Automatically updates agent prompts and schemas when underlying backend database models change.

Generates reproducible mock AST fixtures for unit testing without live LLM network calls.