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.
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// auto-generated by elc --emit-header - do not edit
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extern fn pulse_count() -> Int
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extern fn pulse_inc() -> Int
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extern fn make_action(kind: String, payload: String) -> String
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extern fn perceive() -> String
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extern fn attend(node_json: String) -> String
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extern fn respond(action_json: String) -> String
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extern fn record(outcome_json: String) -> Void
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extern fn one_cycle() -> Bool
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extern fn awareness_run() -> Void
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