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 sga_drop(s: String, n: Int) -> String
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extern fn sga_first(s: String) -> String
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extern fn sga_rest(s: String) -> String
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extern fn sga_slot(person: String, number: String) -> Int
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extern fn sga_lenite(word: String) -> String
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extern fn sga_copula_present(slot: Int) -> String
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extern fn sga_bith_present(slot: Int) -> String
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extern fn sga_bith_past(slot: Int) -> String
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extern fn sga_teit_present(slot: Int) -> String
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extern fn sga_teit_past(slot: Int) -> String
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extern fn sga_gaibid_present(slot: Int) -> String
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extern fn sga_adci_present(slot: Int) -> String
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extern fn sga_asbeir_present(slot: Int) -> String
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extern fn sga_map_canonical(verb: String) -> String
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extern fn sga_ai_present(stem: String, slot: Int) -> String
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extern fn sga_conjugate(verb: String, tense: String, person: String, number: String) -> String
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extern fn sga_decline_ostem(noun: String, gram_case: String, number: String) -> String
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extern fn sga_decline_astem(noun: String, gram_case: String, number: String) -> String
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extern fn sga_detect_gender(noun: String) -> String
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extern fn sga_decline(noun: String, gram_case: String, number: String) -> String
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extern fn sga_noun_phrase(noun: String, gram_case: String, number: String, definite: String) -> String
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