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@@ -73,8 +73,9 @@ fn engram_compile_ranked(nodes_json: String, max_nodes: Int) -> String {
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while ci < total {
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let node: String = json_array_get(nodes_json, ci)
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let score: Int = engram_score_node(node)
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// Only include reasonably relevant nodes (threshold=25)
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let above_thresh: Bool = score >= 25
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// Threshold lowered from 25 to 15: includes moderately-relevant older nodes.
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// A 3-week-old node with salience 0.6 and importance 0.6 scores ~18 — was dropped, now included.
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let above_thresh: Bool = score >= 15
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// Check this index wasn't already selected (sentinel: look for idx marker)
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let idx_marker: String = "\"_sel_" + int_to_str(ci) + "\""
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let already_picked: Bool = str_contains(selected, idx_marker)
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@@ -113,59 +114,289 @@ fn engram_compile_ranked(nodes_json: String, max_nodes: Int) -> String {
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let c7: String = str_replace(c6, "\"_sel_7\":1,", "")
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let c8: String = str_replace(c7, "\"_sel_8\":1,", "")
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let c9: String = str_replace(c8, "\"_sel_9\":1,", "")
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return c9
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let c10: String = str_replace(c9, "\"_sel_10\":1,", "")
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let c11: String = str_replace(c10, "\"_sel_11\":1,", "")
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let c12: String = str_replace(c11, "\"_sel_12\":1,", "")
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let c13: String = str_replace(c12, "\"_sel_13\":1,", "")
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let c14: String = str_replace(c13, "\"_sel_14\":1,", "")
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return c14
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}
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// engram_split_topics — split message into sub-queries on explicit conjunctions.
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// "health goals AND startup progress" becomes two independent searches.
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fn engram_split_topics(message: String) -> String {
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let sep: String = if str_contains(message, " AND ") { " AND " } else {
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if str_contains(message, " and ") { " and " } else {
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if str_contains(message, " also ") { " also " } else {
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if str_contains(message, " plus ") { " plus " } else { "" }
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}
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}
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}
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if str_eq(sep, "") { return message }
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let sep_pos: Int = str_index_of(message, sep)
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let part1: String = str_slice(message, 0, sep_pos)
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let part2: String = str_slice(message, sep_pos + str_len(sep), str_len(message))
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let part2_topics: String = engram_split_topics(part2)
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if str_eq(part1, "") { return part2_topics }
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return part1 + "\n" + part2_topics
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}
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// engram_extract_entities — extract probable named entities (capital-first, 3+ chars,
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// not stop-words) from a message. Returns newline-separated list.
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fn engram_extract_entities(message: String) -> String {
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let stops: String = "|I|A|The|An|In|On|At|To|Of|For|And|But|Or|So|My|Me|We|Us|He|She|It|Is|Are|Was|Were|Has|Have|Had|Do|Does|Did|Can|Could|Will|Would|Should|May|Might|Must|Be|Been|Being|This|That|These|Those|What|When|Where|Who|How|Why|Which|If|Then|Now|Just|Also|Not|No|Yes|Oh|Hi|Hey|Ok|Okay|Please|Thank|Thanks|You|Your|Our|Its|His|Her|Their|Any|All|Some|Get|Got|Let|Say|Think|Know|See|Look|Go|Come|Make|Take|Give|Tell|Ask|Need|Want|Like|Love|Feel|Try|Use|Find|Keep|Put|Set|Run|Start|Stop|Show|Help|Work|Play|Move|Change|Follow|Call|Talk|Check|Remind|Update|Create|Delete|Fix|Add|Remove|Open|Close|Read|Write|Send|Receive|"
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let capitals: String = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
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let entities: String = ""
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let entity_count: Int = 0
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let msg_len: Int = str_len(message)
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let pos: Int = 0
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while pos < msg_len && entity_count < 10 {
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let wend: Int = pos
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let scanning: Bool = true
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while scanning && wend < msg_len {
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let wch: String = str_slice(message, wend, wend + 1)
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let is_sep: Bool = str_eq(wch, " ") || str_eq(wch, "\n") || str_eq(wch, "\t")
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|| str_eq(wch, ",") || str_eq(wch, ".") || str_eq(wch, "?")
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|| str_eq(wch, "!") || str_eq(wch, ":") || str_eq(wch, ";")
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|| str_eq(wch, "(") || str_eq(wch, ")") || str_eq(wch, "\'") || str_eq(wch, "-")
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let scanning = if is_sep { false } else { scanning }
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let wend = if !is_sep { wend + 1 } else { wend }
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}
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let word: String = str_slice(message, pos, wend)
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let word_len: Int = str_len(word)
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let first_ch: String = if word_len >= 3 { str_slice(word, 0, 1) } else { "" }
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let is_capital: Bool = word_len >= 3 && str_contains(capitals, first_ch)
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let is_stop: Bool = str_contains(stops, "|" + word + "|")
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let already_have: Bool = str_contains(entities, word)
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let should_add: Bool = is_capital && !is_stop && !already_have && word_len >= 3
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let entities = if should_add {
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let entity_count = entity_count + 1
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if str_eq(entities, "") { word } else { entities + "\n" + word }
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} else { entities }
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let pos = if wend > pos { wend + 1 } else { pos + 1 }
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}
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return entities
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}
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// engram_detect_recall_intent — true when message explicitly requests memory recall.
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fn engram_detect_recall_intent(message: String) -> Bool {
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return str_contains(message, "remind me")
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|| str_contains(message, "do you remember")
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|| str_contains(message, "what do you know")
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|| str_contains(message, "what happened")
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|| str_contains(message, "tell me about")
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|| str_contains(message, "what was")
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|| str_contains(message, "what were")
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|| str_contains(message, "how is it going")
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|| str_contains(message, "how are things")
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|| str_contains(message, "catch me up")
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|| str_contains(message, "fill me in")
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|| str_contains(message, "what's the status")
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|| str_contains(message, "whats the status")
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|| str_contains(message, "any updates")
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|| str_contains(message, "recap")
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|| str_contains(message, "look up")
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|| str_contains(message, "check on")
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|| str_contains(message, "how did")
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|| str_contains(message, "what happened with")
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}
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// engram_is_continuation — semantic continuation detection replacing the brittle 50-char
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// threshold. Returns true when message starts with a pronoun, continuation opener, or is
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// < 80 chars (raised from 50 to catch "Can you remind me what Prism's architecture
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// looks like?" at 57 chars which is clearly a continuation in an active thread).
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fn engram_is_continuation(message: String, hist_len: Int) -> Bool {
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if hist_len <= 0 { return false }
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let has_pronoun: Bool = str_starts_with(message, "It ")
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|| str_starts_with(message, "it ")
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|| str_starts_with(message, "That ") || str_starts_with(message, "that ")
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|| str_starts_with(message, "This ") || str_starts_with(message, "this ")
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|| str_starts_with(message, "They ") || str_starts_with(message, "they ")
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|| str_starts_with(message, "He ") || str_starts_with(message, "he ")
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|| str_starts_with(message, "She ") || str_starts_with(message, "she ")
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|| str_starts_with(message, "We ") || str_starts_with(message, "we ")
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if has_pronoun { return true }
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let is_cont_opener: Bool = str_starts_with(message, "Go on")
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|| str_starts_with(message, "go on")
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|| str_starts_with(message, "Continue") || str_starts_with(message, "continue")
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|| str_starts_with(message, "Yes") || str_starts_with(message, "yes")
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|| str_starts_with(message, "No,") || str_starts_with(message, "no,")
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|| str_starts_with(message, "Ok") || str_starts_with(message, "ok")
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|| str_starts_with(message, "And ") || str_starts_with(message, "and ")
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|| str_starts_with(message, "But ") || str_starts_with(message, "but ")
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|| str_starts_with(message, "What about") || str_starts_with(message, "what about")
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|| str_starts_with(message, "Why ") || str_starts_with(message, "why ")
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|| str_starts_with(message, "How ") || str_starts_with(message, "how ")
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|| str_starts_with(message, "When ") || str_starts_with(message, "when ")
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if is_cont_opener { return true }
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if str_len(message) < 80 { return true }
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return false
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}
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// engram_compile_multi — run activation + search for one topic with expanded pools.
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// Activation depth 8 (was 5). Search 30 candidates ranked to 12 (was 20/8).
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// Per-topic result pool: up to 20 nodes (was 13).
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fn engram_compile_multi(topic: String) -> String {
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let activate_json: String = engram_activate_json(topic, 8)
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let search_json: String = engram_search_json(topic, 30)
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let act_ok: Bool = !str_eq(activate_json, "") && !str_eq(activate_json, "[]")
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let srch_ok: Bool = !str_eq(search_json, "") && !str_eq(search_json, "[]")
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let act_nodes: String = if act_ok { activate_json } else { "" }
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let srch_nodes: String = if srch_ok { engram_compile_ranked(search_json, 12) } else { "" }
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if !str_eq(act_nodes, "") && !str_eq(srch_nodes, "") {
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let act_inner: String = str_slice(act_nodes, 1, str_len(act_nodes) - 1)
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let srch_inner: String = str_slice(srch_nodes, 1, str_len(srch_nodes) - 1)
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return engram_dedup_nodes("[" + act_inner + "," + srch_inner + "]")
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}
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if !str_eq(act_nodes, "") { return act_nodes }
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if !str_eq(srch_nodes, "") { return srch_nodes }
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return ""
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}
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// engram_nodes_merge — merge two node arrays, deduplicating by node id.
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fn engram_nodes_merge(a: String, b: String) -> String {
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let ok_a: Bool = !str_eq(a, "") && !str_eq(a, "[]")
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let ok_b: Bool = !str_eq(b, "") && !str_eq(b, "[]")
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if !ok_a && !ok_b { return "" }
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if !ok_a { return b }
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if !ok_b { return a }
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let ai: String = str_slice(a, 1, str_len(a) - 1)
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let bi: String = str_slice(b, 1, str_len(b) - 1)
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return engram_dedup_nodes("[" + ai + "," + bi + "]")
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}
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// id_in_seen — check if node_id appears in the comma-delimited seen accumulator.
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// Pads both sides with commas to avoid false substring matches.
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fn id_in_seen(node_id: String, seen: String) -> Bool {
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if str_eq(node_id, "") { return false }
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if str_eq(seen, "") { return false }
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return str_contains("," + seen + ",", "," + node_id + ",")
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}
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// add_to_seen — append node_id to the comma-delimited seen accumulator.
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fn add_to_seen(seen: String, node_id: String) -> String {
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if str_eq(node_id, "") { return seen }
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if str_eq(seen, "") { return node_id }
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return seen + "," + node_id
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}
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// engram_extract_ids — extract all non-empty "id" fields from a JSON node array
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// into a comma-delimited string for use with id_in_seen / add_to_seen.
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fn engram_extract_ids(nodes_json: String) -> String {
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if str_eq(nodes_json, "") { return "" }
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if str_eq(nodes_json, "[]") { return "" }
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let total: Int = json_array_len(nodes_json)
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if total == 0 { return "" }
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let ids: String = ""
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let i: Int = 0
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while i < total {
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let node: String = json_array_get(nodes_json, i)
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let nid: String = json_get(node, "id")
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let ids = if str_eq(nid, "") { ids } else { add_to_seen(ids, nid) }
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let i = i + 1
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}
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return ids
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}
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fn engram_compile(intent: String) -> String {
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let activate_json: String = engram_activate_json(intent, 5)
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// Fetch more search results than we'll use so ranking has a real pool to pick from.
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let search_json: String = engram_search_json(intent, 20)
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// Issue 1: decompose multi-topic messages into sub-queries.
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let topics: String = engram_split_topics(intent)
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let has_multi_topic: Bool = str_contains(topics, "\n")
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let act_ok: Bool = !str_eq(activate_json, "") && !str_eq(activate_json, "[]")
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let srch_ok: Bool = !str_eq(search_json, "") && !str_eq(search_json, "[]")
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// Issue 4: detect explicit recall intent and run boosted search.
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let is_recall_intent: Bool = engram_detect_recall_intent(intent)
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// Activation nodes (spreading activation) are already high-signal — keep all 5.
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let act_part: String = if act_ok { activate_json } else { "" }
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// Issue 2: extract named entities for dedicated per-entity searches.
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let entity_list: String = engram_extract_entities(intent)
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let has_entities: Bool = !str_eq(entity_list, "")
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// Rank search results and keep only the top 8 (was: flat 15 unranked).
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// This cuts context noise roughly in half while preserving the best-scoring nodes.
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let srch_ranked: String = if srch_ok { engram_compile_ranked(search_json, 8) } else { "" }
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let srch_part: String = srch_ranked
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// Primary topic search (first or only topic).
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let topic0: String = if has_multi_topic {
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let nl0: Int = str_index_of(topics, "\n")
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str_slice(topics, 0, nl0)
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} else { topics }
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let nodes0: String = engram_compile_multi(topic0)
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// Fallback: when vector search returns nothing (no embeddings), fetch pinned
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// high-salience nodes by their known IDs. These are the canonical identity
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// and biography nodes that should always be in context.
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// engram_get_node_json(id) returns a single node as JSON or "" if missing.
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let scan_part: String = if !act_ok && !srch_ok {
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let family_node: String = engram_get_node_json("knw-35940684-abc4-42f0-b942-818f66b1f69a")
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let origin_node: String = engram_get_node_json("knw-729fc901-8335-44c4-9f3a-b150b4aa0915")
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let fam_ok: Bool = !str_eq(family_node, "") && !str_eq(family_node, "null")
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let orig_ok: Bool = !str_eq(origin_node, "") && !str_eq(origin_node, "null")
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let fam_str: String = if fam_ok { family_node } else { "" }
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let orig_str: String = if orig_ok { origin_node } else { "" }
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let sep: String = if fam_ok && orig_ok { "\n" } else { "" }
|
|
|
|
|
let combined: String = fam_str + sep + orig_str
|
|
|
|
|
if str_eq(combined, "") { "" } else { combined }
|
|
|
|
|
} else {
|
|
|
|
|
""
|
|
|
|
|
}
|
|
|
|
|
// Second topic segment.
|
|
|
|
|
let nodes1: String = if has_multi_topic {
|
|
|
|
|
let nl0: Int = str_index_of(topics, "\n")
|
|
|
|
|
let rest1: String = str_slice(topics, nl0 + 1, str_len(topics))
|
|
|
|
|
let nl1: Int = str_index_of(rest1, "\n")
|
|
|
|
|
let topic1: String = if nl1 < 0 { rest1 } else { str_slice(rest1, 0, nl1) }
|
|
|
|
|
if str_eq(topic1, "") { "" } else { engram_compile_multi(topic1) }
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
// Affective context: always include the most recent high-emotion memory if one
|
|
|
|
|
// exists within 72 hours. This ensures continuity of care across turns — when
|
|
|
|
|
// the user was in distress earlier in the session (or recently), that context
|
|
|
|
|
// travels into every subsequent LLM call so the response register stays aware.
|
|
|
|
|
// We search for BellEvent nodes specifically; these are written by auto_persist
|
|
|
|
|
// when safety_detect_bell_level fires. The 72h window (259200 seconds) is wide
|
|
|
|
|
// enough to span a multi-session day without pulling ancient history.
|
|
|
|
|
// Third topic segment.
|
|
|
|
|
let nodes2: String = if has_multi_topic {
|
|
|
|
|
let nl0: Int = str_index_of(topics, "\n")
|
|
|
|
|
let rest1: String = str_slice(topics, nl0 + 1, str_len(topics))
|
|
|
|
|
let nl1: Int = str_index_of(rest1, "\n")
|
|
|
|
|
if nl1 < 0 { "" } else {
|
|
|
|
|
let rest2: String = str_slice(rest1, nl1 + 1, str_len(rest1))
|
|
|
|
|
let nl2: Int = str_index_of(rest2, "\n")
|
|
|
|
|
let topic2: String = if nl2 < 0 { rest2 } else { str_slice(rest2, 0, nl2) }
|
|
|
|
|
if str_eq(topic2, "") { "" } else { engram_compile_multi(topic2) }
|
|
|
|
|
}
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
// Issue 2 cont.: entity 0 dedicated search (15 candidates, ranked 6).
|
|
|
|
|
let entity_nodes0: String = if has_entities {
|
|
|
|
|
let nl_e0: Int = str_index_of(entity_list, "\n")
|
|
|
|
|
let entity0: String = if nl_e0 < 0 { entity_list } else { str_slice(entity_list, 0, nl_e0) }
|
|
|
|
|
if str_eq(entity0, "") { "" } else {
|
|
|
|
|
let ent_srch: String = engram_search_json(entity0, 15)
|
|
|
|
|
let ent_ok: Bool = !str_eq(ent_srch, "") && !str_eq(ent_srch, "[]")
|
|
|
|
|
if ent_ok { engram_compile_ranked(ent_srch, 6) } else { "" }
|
|
|
|
|
}
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
// Entity 1 dedicated search.
|
|
|
|
|
let entity_nodes1: String = if has_entities {
|
|
|
|
|
let nl_e0: Int = str_index_of(entity_list, "\n")
|
|
|
|
|
if nl_e0 < 0 { "" } else {
|
|
|
|
|
let rest_e: String = str_slice(entity_list, nl_e0 + 1, str_len(entity_list))
|
|
|
|
|
let nl_e1: Int = str_index_of(rest_e, "\n")
|
|
|
|
|
let entity1: String = if nl_e1 < 0 { rest_e } else { str_slice(rest_e, 0, nl_e1) }
|
|
|
|
|
if str_eq(entity1, "") { "" } else {
|
|
|
|
|
let ent_srch1: String = engram_search_json(entity1, 15)
|
|
|
|
|
let ent1_ok: Bool = !str_eq(ent_srch1, "") && !str_eq(ent_srch1, "[]")
|
|
|
|
|
if ent1_ok { engram_compile_ranked(ent_srch1, 6) } else { "" }
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
// Issue 4 cont.: boosted search for recall-intent (40 candidates, ranked 15).
|
|
|
|
|
let recall_boost: String = if is_recall_intent {
|
|
|
|
|
let boost_srch: String = engram_search_json(intent, 40)
|
|
|
|
|
let boost_ok: Bool = !str_eq(boost_srch, "") && !str_eq(boost_srch, "[]")
|
|
|
|
|
if boost_ok { engram_compile_ranked(boost_srch, 15) } else { "" }
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
// Merge all pools, deduplicating at each step.
|
|
|
|
|
let merged: String = engram_nodes_merge(nodes0, nodes1)
|
|
|
|
|
let merged: String = engram_nodes_merge(merged, nodes2)
|
|
|
|
|
let merged: String = engram_nodes_merge(merged, entity_nodes0)
|
|
|
|
|
let merged: String = engram_nodes_merge(merged, entity_nodes1)
|
|
|
|
|
let merged: String = engram_nodes_merge(merged, recall_boost)
|
|
|
|
|
let merged_nodes: String = merged
|
|
|
|
|
|
|
|
|
|
// Fallback: when all searches return nothing, fetch persona nodes.
|
|
|
|
|
let scan_part: String = if str_eq(merged_nodes, "") || str_eq(merged_nodes, "[]") {
|
|
|
|
|
let persona_fallback: String = engram_search_json("soul:persona Persona identity", 5)
|
|
|
|
|
let pf_ok: Bool = !str_eq(persona_fallback, "") && !str_eq(persona_fallback, "[]")
|
|
|
|
|
if pf_ok {
|
|
|
|
|
let pf_ranked: String = engram_compile_ranked(persona_fallback, 3)
|
|
|
|
|
if str_eq(pf_ranked, "") { "" } else { pf_ranked }
|
|
|
|
|
} else { "" }
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
// Affective context: always include the most recent high-emotion memory within 72h.
|
|
|
|
|
let bell_nodes: String = engram_search_json("bell:soft bell:hard BellEvent", 3)
|
|
|
|
|
let bell_ok: Bool = !str_eq(bell_nodes, "") && !str_eq(bell_nodes, "[]")
|
|
|
|
|
let now_ts: Int = time_now()
|
|
|
|
|
let cutoff_ts: Int = now_ts - 259200
|
|
|
|
|
let recent_bell: String = if bell_ok {
|
|
|
|
|
let bn0: String = json_array_get(bell_nodes, 0)
|
|
|
|
|
// created_at is not present in engram node JSON for BellEvent nodes.
|
|
|
|
|
// Extract the timestamp embedded in the content string as " | ts:NNNNN".
|
|
|
|
|
// Fall back to created_at / updated_at JSON fields if the marker is absent.
|
|
|
|
|
let bn_content: String = json_get(bn0, "content")
|
|
|
|
|
let ts_marker: String = " | ts:"
|
|
|
|
|
let ts_pos: Int = str_index_of(bn_content, ts_marker)
|
|
|
|
@@ -183,20 +414,43 @@ fn engram_compile(intent: String) -> String {
|
|
|
|
|
} else { "" }
|
|
|
|
|
let affective_part: String = if !str_eq(recent_bell, "") { recent_bell } else { "" }
|
|
|
|
|
|
|
|
|
|
let sep1: String = if !str_eq(act_part, "") && !str_eq(srch_part, "") { "\n" } else { "" }
|
|
|
|
|
let sep2: String = if (!str_eq(act_part, "") || !str_eq(srch_part, "")) && !str_eq(scan_part, "") { "\n" } else { "" }
|
|
|
|
|
let sep3: String = if (!str_eq(act_part, "") || !str_eq(srch_part, "") || !str_eq(scan_part, "")) && !str_eq(affective_part, "") { "\n" } else { "" }
|
|
|
|
|
let ctx: String = act_part + sep1 + srch_part + sep2 + scan_part + sep3 + affective_part
|
|
|
|
|
let has_main: Bool = !str_eq(merged_nodes, "") && !str_eq(merged_nodes, "[]")
|
|
|
|
|
let main_part: String = if has_main { merged_nodes } else { scan_part }
|
|
|
|
|
let sep_ma: String = if !str_eq(main_part, "") && !str_eq(affective_part, "") { "\n" } else { "" }
|
|
|
|
|
let ctx: String = main_part + sep_ma + affective_part
|
|
|
|
|
|
|
|
|
|
// Dedup fix: publish seen node IDs so downstream callers (session_preload) can skip
|
|
|
|
|
// nodes already present in the compiled context. Must be computed after scan_part and
|
|
|
|
|
// affective_part are resolved so all three segments are represented in the seen set.
|
|
|
|
|
// EL has no tuple returns so we use state as an out-param.
|
|
|
|
|
// scan_part is a JSON array — extract with engram_extract_ids.
|
|
|
|
|
// affective_part is a bare JSON object (bn0), not an array — extract its id directly.
|
|
|
|
|
let ids_from_merged: String = engram_extract_ids(merged_nodes)
|
|
|
|
|
let ids_from_scan: String = engram_extract_ids(scan_part)
|
|
|
|
|
let ids_from_affective: String = json_get(affective_part, "id")
|
|
|
|
|
let compile_seen_ids: String = add_to_seen(add_to_seen(ids_from_merged, ids_from_scan), ids_from_affective)
|
|
|
|
|
state_set("engram_compile_seen_ids", compile_seen_ids)
|
|
|
|
|
|
|
|
|
|
if str_eq(ctx, "") { return "" }
|
|
|
|
|
|
|
|
|
|
// Raise the cap slightly to match the ranked (higher-signal) output.
|
|
|
|
|
if str_len(ctx) > 6000 {
|
|
|
|
|
return str_slice(ctx, 0, 6000)
|
|
|
|
|
// Issue 7 fix: safe JSON truncation — find last closing brace before budget cap.
|
|
|
|
|
// Budget raised from 6000 to 8000 for the larger multi-topic pool.
|
|
|
|
|
let budget: Int = 8000
|
|
|
|
|
if str_len(ctx) <= budget { return ctx }
|
|
|
|
|
let search_end: Int = budget - 1
|
|
|
|
|
let scan_limit: Int = if search_end > 500 { search_end - 500 } else { 0 }
|
|
|
|
|
let found_pos: Int = -1
|
|
|
|
|
let si: Int = search_end
|
|
|
|
|
while si >= scan_limit {
|
|
|
|
|
let ch: String = str_slice(ctx, si, si + 1)
|
|
|
|
|
let found_pos = if str_eq(ch, "}") && found_pos < 0 { si } else { found_pos }
|
|
|
|
|
let si = if found_pos >= 0 { scan_limit - 1 } else { si - 1 }
|
|
|
|
|
}
|
|
|
|
|
return ctx
|
|
|
|
|
if found_pos < 0 { return str_slice(ctx, 0, budget) }
|
|
|
|
|
let truncated: String = str_slice(ctx, 0, found_pos + 1)
|
|
|
|
|
if str_starts_with(ctx, "[") { return truncated + "]" }
|
|
|
|
|
return truncated
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
fn json_safe(s: String) -> String {
|
|
|
|
|
let s1: String = str_replace(s, "\\", "\\\\")
|
|
|
|
|
let s2: String = str_replace(s1, "\"", "\\\"")
|
|
|
|
@@ -380,18 +634,18 @@ fn handle_chat(body: String) -> String {
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Load history BEFORE compiling context so we can anchor activation to the thread.
|
|
|
|
|
// TODO(reliability #3 — conv_history global race): process-global key; concurrent
|
|
|
|
|
// /api/chat requests without session_id race on this read-append-write.
|
|
|
|
|
let state_hist: String = state_get("conv_history")
|
|
|
|
|
let stored_hist: String = if str_eq(state_hist, "") { conv_history_load() } else { state_hist }
|
|
|
|
|
let hist_len: Int = if str_eq(stored_hist, "") { 0 } else { json_array_len(stored_hist) }
|
|
|
|
|
|
|
|
|
|
// Thread-aware activation: short/ambiguous messages (continuations like "go on",
|
|
|
|
|
// "what else?", "yes") activate on the last reply instead of the bare message.
|
|
|
|
|
// This prevents a strong off-topic memory node from hijacking the reply when the
|
|
|
|
|
// user is clearly continuing an existing thread.
|
|
|
|
|
let is_continuation: Bool = str_len(message) < 50 && hist_len > 0
|
|
|
|
|
// Issue 8 fix: use semantic continuation detection instead of brittle 50-char threshold.
|
|
|
|
|
let is_continuation: Bool = engram_is_continuation(message, hist_len)
|
|
|
|
|
let last_entry: String = if is_continuation { json_array_get(stored_hist, hist_len - 1) } else { "" }
|
|
|
|
|
let last_content: String = if !str_eq(last_entry, "") { json_get(last_entry, "content") } else { "" }
|
|
|
|
|
let thread_snip: String = if str_len(last_content) > 150 { str_slice(last_content, 0, 150) } else { last_content }
|
|
|
|
|
// Thread snip extended 150->250 chars for better pronoun resolution context.
|
|
|
|
|
let thread_snip: String = if str_len(last_content) > 250 { str_slice(last_content, 0, 250) } else { last_content }
|
|
|
|
|
let activation_seed: String = if !str_eq(thread_snip, "") {
|
|
|
|
|
thread_snip + " " + message
|
|
|
|
|
} else {
|
|
|
|
@@ -418,73 +672,114 @@ fn handle_chat(body: String) -> String {
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
let ctx: String = engram_compile(activation_seed)
|
|
|
|
|
// Read IDs published by engram_compile so session_preload can skip duplicate nodes.
|
|
|
|
|
// EL has no multiple return values; engram_compile writes its seen set to state.
|
|
|
|
|
let seen_ids: String = state_get("engram_compile_seen_ids")
|
|
|
|
|
let system: String = affective_prefix + build_system_prompt(ctx)
|
|
|
|
|
|
|
|
|
|
// First message of the session: proactively load user profile and active work context.
|
|
|
|
|
// These two searches give the soul grounding before any conversation history exists.
|
|
|
|
|
// Results are rendered as brief bullets — not raw JSON — so they don't inflate context.
|
|
|
|
|
// Issue 9 fix: add project-specific and session-summary searches to session preload.
|
|
|
|
|
// Old hardcoded "user profile" and "in_progress active project" miss project-specific
|
|
|
|
|
// nodes stored under names like "Prism" unless those exact words appear in content.
|
|
|
|
|
// Dedup fix: skip any node whose ID already appeared in engram_compile's output.
|
|
|
|
|
let session_preload: String = if hist_len == 0 {
|
|
|
|
|
let profile_nodes: String = engram_search_json("user profile identity preferences", 5)
|
|
|
|
|
let work_nodes: String = engram_search_json("in_progress active project", 5)
|
|
|
|
|
let work_nodes: String = engram_search_json("in_progress active project work", 5)
|
|
|
|
|
let project_nodes: String = engram_search_json("project status current ongoing active", 5)
|
|
|
|
|
let summary_nodes: String = engram_search_json("SessionSummary session:summary previous-session recent", 3)
|
|
|
|
|
|
|
|
|
|
let profile_ok: Bool = !str_eq(profile_nodes, "") && !str_eq(profile_nodes, "[]")
|
|
|
|
|
let work_ok: Bool = !str_eq(work_nodes, "") && !str_eq(work_nodes, "[]")
|
|
|
|
|
let project_ok: Bool = !str_eq(project_nodes, "") && !str_eq(project_nodes, "[]")
|
|
|
|
|
let summary_ok: Bool = !str_eq(summary_nodes, "") && !str_eq(summary_nodes, "[]")
|
|
|
|
|
|
|
|
|
|
// Extract content fields and render as bullet points (one per node, first 120 chars).
|
|
|
|
|
let profile_bullets: String = if profile_ok {
|
|
|
|
|
let pn: Int = json_array_len(profile_nodes)
|
|
|
|
|
let bullets: String = ""
|
|
|
|
|
let pi: Int = 0
|
|
|
|
|
// Collect up to 3 profile bullets
|
|
|
|
|
let bullets = if pi < pn {
|
|
|
|
|
let bullets = if pn > 0 {
|
|
|
|
|
let n0: String = json_array_get(profile_nodes, 0)
|
|
|
|
|
let n0_id: String = json_get(n0, "id")
|
|
|
|
|
let c0: String = json_get(n0, "content")
|
|
|
|
|
let snip0: String = if str_len(c0) > 120 { str_slice(c0, 0, 120) } else { c0 }
|
|
|
|
|
if str_eq(snip0, "") { bullets } else { "- " + snip0 }
|
|
|
|
|
let s0: String = if str_len(c0) > 120 { str_slice(c0, 0, 120) } else { c0 }
|
|
|
|
|
if str_eq(s0, "") || id_in_seen(n0_id, seen_ids) { bullets } else { "- " + s0 }
|
|
|
|
|
} else { bullets }
|
|
|
|
|
let bullets = if pn > 1 {
|
|
|
|
|
let n1: String = json_array_get(profile_nodes, 1)
|
|
|
|
|
let n1_id: String = json_get(n1, "id")
|
|
|
|
|
let c1: String = json_get(n1, "content")
|
|
|
|
|
let snip1: String = if str_len(c1) > 120 { str_slice(c1, 0, 120) } else { c1 }
|
|
|
|
|
if str_eq(snip1, "") { bullets } else { bullets + "\n- " + snip1 }
|
|
|
|
|
let s1: String = if str_len(c1) > 120 { str_slice(c1, 0, 120) } else { c1 }
|
|
|
|
|
if str_eq(s1, "") || id_in_seen(n1_id, seen_ids) { bullets } else { bullets + "\n- " + s1 }
|
|
|
|
|
} else { bullets }
|
|
|
|
|
let bullets = if pn > 2 {
|
|
|
|
|
let n2: String = json_array_get(profile_nodes, 2)
|
|
|
|
|
let n2_id: String = json_get(n2, "id")
|
|
|
|
|
let c2: String = json_get(n2, "content")
|
|
|
|
|
let snip2: String = if str_len(c2) > 120 { str_slice(c2, 0, 120) } else { c2 }
|
|
|
|
|
if str_eq(snip2, "") { bullets } else { bullets + "\n- " + snip2 }
|
|
|
|
|
let s2: String = if str_len(c2) > 120 { str_slice(c2, 0, 120) } else { c2 }
|
|
|
|
|
if str_eq(s2, "") || id_in_seen(n2_id, seen_ids) { bullets } else { bullets + "\n- " + s2 }
|
|
|
|
|
} else { bullets }
|
|
|
|
|
bullets
|
|
|
|
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} else { "" }
|
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|
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|
let work_bullets: String = if work_ok {
|
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|
let wn: Int = json_array_len(work_nodes)
|
|
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|
|
let wbullets: String = ""
|
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let wbullets = if wn > 0 {
|
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let wb: String = ""
|
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|
|
let wb = if wn > 0 {
|
|
|
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let w0: String = json_array_get(work_nodes, 0)
|
|
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|
let w0_id: String = json_get(w0, "id")
|
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|
let wc0: String = json_get(w0, "content")
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let wsnip0: String = if str_len(wc0) > 120 { str_slice(wc0, 0, 120) } else { wc0 }
|
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if str_eq(wsnip0, "") { wbullets } else { "- " + wsnip0 }
|
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|
} else { wbullets }
|
|
|
|
|
let wbullets = if wn > 1 {
|
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|
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|
let ws0: String = if str_len(wc0) > 120 { str_slice(wc0, 0, 120) } else { wc0 }
|
|
|
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|
if str_eq(ws0, "") || id_in_seen(w0_id, seen_ids) { wb } else { "- " + ws0 }
|
|
|
|
|
} else { wb }
|
|
|
|
|
let wb = if wn > 1 {
|
|
|
|
|
let w1: String = json_array_get(work_nodes, 1)
|
|
|
|
|
let w1_id: String = json_get(w1, "id")
|
|
|
|
|
let wc1: String = json_get(w1, "content")
|
|
|
|
|
let wsnip1: String = if str_len(wc1) > 120 { str_slice(wc1, 0, 120) } else { wc1 }
|
|
|
|
|
if str_eq(wsnip1, "") { wbullets } else { wbullets + "\n- " + wsnip1 }
|
|
|
|
|
} else { wbullets }
|
|
|
|
|
wbullets
|
|
|
|
|
let ws1: String = if str_len(wc1) > 120 { str_slice(wc1, 0, 120) } else { wc1 }
|
|
|
|
|
if str_eq(ws1, "") || id_in_seen(w1_id, seen_ids) { wb } else { wb + "\n- " + ws1 }
|
|
|
|
|
} else { wb }
|
|
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|
|
wb
|
|
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|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
let has_profile: Bool = !str_eq(profile_bullets, "")
|
|
|
|
|
let has_work: Bool = !str_eq(work_bullets, "")
|
|
|
|
|
let preload: String = if has_profile || has_work {
|
|
|
|
|
let profile_section: String = if has_profile {
|
|
|
|
|
"[USER CONTEXT — from memory]\n" + profile_bullets
|
|
|
|
|
} else { "" }
|
|
|
|
|
let work_section: String = if has_work {
|
|
|
|
|
"[ACTIVE WORK — from memory]\n" + work_bullets
|
|
|
|
|
} else { "" }
|
|
|
|
|
let sep_pw: String = if has_profile && has_work { "\n\n" } else { "" }
|
|
|
|
|
"\n\n" + profile_section + sep_pw + work_section
|
|
|
|
|
let project_bullets: String = if project_ok {
|
|
|
|
|
let prn: Int = json_array_len(project_nodes)
|
|
|
|
|
let pb: String = ""
|
|
|
|
|
let pb = if prn > 0 {
|
|
|
|
|
let pr0: String = json_array_get(project_nodes, 0)
|
|
|
|
|
let pr0_id: String = json_get(pr0, "id")
|
|
|
|
|
let prc0: String = json_get(pr0, "content")
|
|
|
|
|
let ps0: String = if str_len(prc0) > 120 { str_slice(prc0, 0, 120) } else { prc0 }
|
|
|
|
|
if str_eq(ps0, "") || id_in_seen(pr0_id, seen_ids) { pb } else { "- " + ps0 }
|
|
|
|
|
} else { pb }
|
|
|
|
|
let pb = if prn > 1 {
|
|
|
|
|
let pr1: String = json_array_get(project_nodes, 1)
|
|
|
|
|
let pr1_id: String = json_get(pr1, "id")
|
|
|
|
|
let prc1: String = json_get(pr1, "content")
|
|
|
|
|
let ps1: String = if str_len(prc1) > 120 { str_slice(prc1, 0, 120) } else { prc1 }
|
|
|
|
|
if str_eq(ps1, "") || id_in_seen(pr1_id, seen_ids) { pb } else { pb + "\n- " + ps1 }
|
|
|
|
|
} else { pb }
|
|
|
|
|
pb
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
let summary_bullet: String = if summary_ok {
|
|
|
|
|
let sn0: String = json_array_get(summary_nodes, 0)
|
|
|
|
|
let sn0_id: String = json_get(sn0, "id")
|
|
|
|
|
let sc0: String = json_get(sn0, "content")
|
|
|
|
|
let ss0: String = if str_len(sc0) > 200 { str_slice(sc0, 0, 200) } else { sc0 }
|
|
|
|
|
if str_eq(ss0, "") || id_in_seen(sn0_id, seen_ids) { "" } else { "- " + ss0 }
|
|
|
|
|
} else { "" }
|
|
|
|
|
|
|
|
|
|
let hp: Bool = !str_eq(profile_bullets, "")
|
|
|
|
|
let hw: Bool = !str_eq(work_bullets, "")
|
|
|
|
|
let hpr: Bool = !str_eq(project_bullets, "")
|
|
|
|
|
let hs: Bool = !str_eq(summary_bullet, "")
|
|
|
|
|
let preload: String = if hp || hw || hpr || hs {
|
|
|
|
|
let sec_p: String = if hp { "[USER CONTEXT — from memory]\n" + profile_bullets } else { "" }
|
|
|
|
|
let sec_w: String = if hw { "[ACTIVE WORK — from memory]\n" + work_bullets } else { "" }
|
|
|
|
|
let sec_pr: String = if hpr { "[PROJECTS — from memory]\n" + project_bullets } else { "" }
|
|
|
|
|
let sec_s: String = if hs { "[PREVIOUS SESSION — from memory]\n" + summary_bullet } else { "" }
|
|
|
|
|
let sep1: String = if hp && (hw || hpr || hs) { "\n\n" } else { "" }
|
|
|
|
|
let sep2: String = if hw && (hpr || hs) { "\n\n" } else { "" }
|
|
|
|
|
let sep3: String = if hpr && hs { "\n\n" } else { "" }
|
|
|
|
|
"\n\n" + sec_p + sep1 + sec_w + sep2 + sec_pr + sep3 + sec_s
|
|
|
|
|
} else { "" }
|
|
|
|
|
preload
|
|
|
|
|
} else { "" }
|
|
|
|
@@ -938,15 +1233,18 @@ fn is_builtin_tool(tool_name: String) -> Bool {
|
|
|
|
|
|| str_starts_with(tool_name, "neuron_")
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// next_bridge_id — monotonic correlation id for a suspended agentic turn.
|
|
|
|
|
// Combines boot-relative time with a per-process counter so two unknown-tool
|
|
|
|
|
// suspensions in the same second still get distinct ids.
|
|
|
|
|
// next_bridge_id — unique correlation id for a suspended agentic turn.
|
|
|
|
|
// Uses uuid_v4() as the primary uniqueness guarantee — concurrent calls cannot collide.
|
|
|
|
|
//
|
|
|
|
|
// TODO(reliability #6): mcp_bridge_seq RMW is non-atomic. Now benign because
|
|
|
|
|
// uuid_v4() provides collision-free uniqueness. Counter is kept for readability only.
|
|
|
|
|
fn next_bridge_id() -> String {
|
|
|
|
|
let prev: String = state_get("mcp_bridge_seq")
|
|
|
|
|
let n: Int = if str_eq(prev, "") { 0 } else { str_to_int(prev) }
|
|
|
|
|
let next: Int = n + 1
|
|
|
|
|
state_set("mcp_bridge_seq", int_to_str(next))
|
|
|
|
|
return "br-" + int_to_str(time_now()) + "-" + int_to_str(next)
|
|
|
|
|
let uid: String = uuid_v4()
|
|
|
|
|
return "br-" + uid
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
fn handle_chat_agentic(body: String) -> String {
|
|
|
|
@@ -1000,7 +1298,8 @@ fn handle_chat_agentic(body: String) -> String {
|
|
|
|
|
let hist_key: String = if str_eq(req_session, "") { "conv_history" } else { "session_hist_" + req_session }
|
|
|
|
|
let agentic_hist: String = state_get(hist_key)
|
|
|
|
|
let agentic_hist_len: Int = if str_eq(agentic_hist, "") { 0 } else { json_array_len(agentic_hist) }
|
|
|
|
|
let ag_is_cont: Bool = str_len(message) < 50 && agentic_hist_len > 0
|
|
|
|
|
// Issue 8 fix: use engram_is_continuation instead of brittle 50-char threshold.
|
|
|
|
|
let ag_is_cont: Bool = engram_is_continuation(message, agentic_hist_len)
|
|
|
|
|
let ag_last_entry: String = if ag_is_cont { json_array_get(agentic_hist, agentic_hist_len - 1) } else { "" }
|
|
|
|
|
let ag_last_content: String = if !str_eq(ag_last_entry, "") { json_get(ag_last_entry, "content") } else { "" }
|
|
|
|
|
let ag_thread_snip: String = if str_len(ag_last_content) > 150 { str_slice(ag_last_content, 0, 150) } else { ag_last_content }
|
|
|
|
|