Files
neuron/dist/semantics.elh
T
Will Anderson 2622bb04bd ELP: two-layer activation pipeline (activate → suppress → reason → generate)
elp-input.el: replace broken engram_search_json with engram_activate_json
as Layer 1. Layer 2 suppress/filter keeps nodes with non-zero salience/
importance. Reason step extracts patient from top activated node content.
ELP grammar realizes the response via generate().

routes.el: add 'elp' event_type to handle_dharma_recv so the studio can
route ELP requests through dharma.
2026-05-03 11:31:04 -05:00

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// auto-generated by elc --emit-header - do not edit
extern fn sem_frame(intent: String, subject: String, obj: String, modifiers: String) -> Any
extern fn sem_frame_lang(intent: String, subject: String, obj: String, modifiers: String, lang_code: String) -> Any
extern fn sem_frame_simple(intent: String, subject: String) -> Any
extern fn sem_frame_obj(intent: String, subject: String, obj: String) -> Any
extern fn sem_intent(frame: Any) -> String
extern fn sem_subject(frame: Any) -> String
extern fn sem_object(frame: Any) -> String
extern fn sem_modifiers(frame: Any) -> String
extern fn sem_lang(frame: Any) -> String
extern fn sem_first_modifier(mods: String) -> String
extern fn sem_intent_to_realize(intent: String) -> String
extern fn sem_to_spec(frame: Any) -> Any
extern fn sem_to_spec_full(frame: Any, verb: String, tense: String, aspect: String) -> Any
extern fn sem_realize_greet(subject: String) -> String
extern fn sem_realize(frame: Any) -> String
extern fn sem_realize_full(frame: Any, verb: String, tense: String, aspect: String) -> String
extern fn sem_realize_lang(frame: Any, lang_code: String) -> String