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Author SHA1 Message Date
will.anderson 42bbadcd33 Merge pull request 'feat(recall): emotional-recall improvements' (#52) from improve/recall-emotional-recall into main
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feat(recall): emotional-recall improvements
2026-06-22 18:24:36 +00:00
will.anderson b6052f9de3 Merge pull request 'feat(recall): recall-completeness' (#48) from improve/recall-recall-completeness into main
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feat(recall): recall-completeness improvements
2026-06-22 18:24:17 +00:00
will.anderson 0113407728 feat(recall): emotional-recall improvements
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2026-06-22 13:17:12 -05:00
will.anderson 18e040acb1 feat(recall): recall-completeness improvements
Neuron Soul CI / build (pull_request) Has been cancelled
- Lower engram_compile_ranked threshold 25->15: include moderately-relevant older nodes
- Extend sentinel cleanup from _sel_9 to _sel_14 to prevent JSON noise
- Add engram_split_topics for multi-topic decomposition (AND/and/also/plus)
- Add engram_extract_entities for named entity dedicated searches
- Add engram_detect_recall_intent for boosted 40-candidate search on recall phrases
- Add engram_is_continuation replacing brittle 50-char threshold (now 80 + pronoun/opener detection)
- Add engram_compile_multi with depth 8 (was 5) and 30-candidate search pool
- Add engram_nodes_merge for clean two-array deduplication
- Replace engram_compile with multi-topic/entity/recall-boost version; budget 6000->8000
- Safe JSON truncation: scan for last } before budget cap instead of raw str_slice
- handle_chat and agentic_chat: use engram_is_continuation; thread snip 150->250
- session_preload: add project-status and session-summary search queries
2026-06-22 13:11:06 -05:00
3 changed files with 254 additions and 92 deletions
+118 -84
View File
@@ -265,39 +265,6 @@ fn engram_nodes_merge(a: String, b: String) -> String {
return engram_dedup_nodes("[" + ai + "," + bi + "]")
}
// id_in_seen check if node_id appears in the comma-delimited seen accumulator.
// Pads both sides with commas to avoid false substring matches.
fn id_in_seen(node_id: String, seen: String) -> Bool {
if str_eq(node_id, "") { return false }
if str_eq(seen, "") { return false }
return str_contains("," + seen + ",", "," + node_id + ",")
}
// add_to_seen append node_id to the comma-delimited seen accumulator.
fn add_to_seen(seen: String, node_id: String) -> String {
if str_eq(node_id, "") { return seen }
if str_eq(seen, "") { return node_id }
return seen + "," + node_id
}
// engram_extract_ids extract all non-empty "id" fields from a JSON node array
// into a comma-delimited string for use with id_in_seen / add_to_seen.
fn engram_extract_ids(nodes_json: String) -> String {
if str_eq(nodes_json, "") { return "" }
if str_eq(nodes_json, "[]") { return "" }
let total: Int = json_array_len(nodes_json)
if total == 0 { return "" }
let ids: String = ""
let i: Int = 0
while i < total {
let node: String = json_array_get(nodes_json, i)
let nid: String = json_get(node, "id")
let ids = if str_eq(nid, "") { ids } else { add_to_seen(ids, nid) }
let i = i + 1
}
return ids
}
fn engram_compile(intent: String) -> String {
// Issue 1: decompose multi-topic messages into sub-queries.
let topics: String = engram_split_topics(intent)
@@ -412,25 +379,37 @@ fn engram_compile(intent: String) -> String {
let bn_ts: Int = if str_eq(bn_ts_raw, "") { 0 } else { str_to_int(bn_ts_raw) }
if bn_ts > cutoff_ts { bn0 } else { "" }
} else { "" }
let affective_part: String = if !str_eq(recent_bell, "") { recent_bell } else { "" }
// Positive emotion context: check for recent joy/success moments within 72h.
let pos_ec_nodes: String = engram_search_json("PositiveEvent joy:high joy:low affective", 3)
let pos_ec_ok: Bool = !str_eq(pos_ec_nodes, "") && !str_eq(pos_ec_nodes, "[]")
let recent_positive_ec: String = if pos_ec_ok {
let pec0: String = json_array_get(pos_ec_nodes, 0)
let pec_content: String = json_get(pec0, "content")
let pec_ts_marker: String = " | ts:"
let pec_ts_pos: Int = str_index_of(pec_content, pec_ts_marker)
let pec_ts_raw: String = if pec_ts_pos >= 0 {
let pec_ts_start: Int = pec_ts_pos + str_len(pec_ts_marker)
let pec_rest: String = str_slice(pec_content, pec_ts_start, str_len(pec_content))
let pec_next: Int = str_index_of(pec_rest, " | ")
if pec_next < 0 { pec_rest } else { str_slice(pec_rest, 0, pec_next) }
} else {
let pec_ca: String = json_get(pec0, "created_at")
if str_eq(pec_ca, "") { json_get(pec0, "updated_at") } else { pec_ca }
}
let pec_ts: Int = if str_eq(pec_ts_raw, "") { 0 } else { str_to_int(pec_ts_raw) }
if pec_ts > cutoff_ts { pec0 } else { "" }
} else { "" }
let affective_part: String = if !str_eq(recent_bell, "") {
recent_bell
} else {
if !str_eq(recent_positive_ec, "") { recent_positive_ec } else { "" }
}
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 "" }
// Issue 7 fix: safe JSON truncation find last closing brace before budget cap.
@@ -495,7 +474,7 @@ fn build_system_prompt(ctx: String) -> String {
safety_addendum
}
return identity + date_line + voice_rules + security_rules + capability_rules + identity_block + engram_block + safety_block
return identity + date_line + voice_rules + security_rules + capability_rules + identity_block + affective_boot_block + engram_block + safety_block
}
fn hist_append(hist: String, role: String, content: String) -> String {
@@ -654,33 +633,69 @@ fn handle_chat(body: String) -> String {
// Cross-session affective context: on session start (no history yet), check engram
// for recent distress signals within 72h and prepend a care directive if found.
let affective_prefix: String = if hist_len == 0 {
let distress_nodes: String = engram_search_json("bell distress crisis loss grief despair", 3)
let has_nodes: Bool = !str_eq(distress_nodes, "") && !str_eq(distress_nodes, "[]")
let now_ts: Int = time_now()
let cutoff: Int = now_ts - 259200
let found_recent: Bool = if has_nodes {
let dn0: String = json_array_get(distress_nodes, 0)
let ts0_raw: String = json_get(dn0, "created_at")
let ts0_str: String = if str_eq(ts0_raw, "") { json_get(dn0, "updated_at") } else { ts0_raw }
let ts0: Int = if str_eq(ts0_str, "") { 0 } else { str_to_int(ts0_str) }
ts0 > cutoff
let affective_prefix: String = {
// Runs every turn. Uses correct BellEvent/PositiveEvent tags.
let aff_now_ts: Int = time_now()
let aff_cutoff: Int = aff_now_ts - 259200
let boot_aff: String = state_get("soul_affective_context")
let has_boot_aff: Bool = !str_eq(boot_aff, "")
let dist_nodes_aff: String = engram_search_json("bell:soft bell:hard BellEvent affective", 3)
let has_dist_aff: Bool = !str_eq(dist_nodes_aff, "") && !str_eq(dist_nodes_aff, "[]")
let found_recent_dist: Bool = if has_boot_aff {
true
} else {
if has_dist_aff {
let dn0: String = json_array_get(dist_nodes_aff, 0)
let dn_content: String = json_get(dn0, "content")
let daff_marker: String = " | ts:"
let daff_pos: Int = str_index_of(dn_content, daff_marker)
let daff_ts_str: String = if daff_pos >= 0 {
let daff_start: Int = daff_pos + str_len(daff_marker)
let daff_rest: String = str_slice(dn_content, daff_start, str_len(dn_content))
let daff_next: Int = str_index_of(daff_rest, " | ")
if daff_next < 0 { daff_rest } else { str_slice(daff_rest, 0, daff_next) }
} else {
let daff_ca: String = json_get(dn0, "created_at")
if str_eq(daff_ca, "") { json_get(dn0, "updated_at") } else { daff_ca }
}
let daff_ts: Int = if str_eq(daff_ts_str, "") { 0 } else { str_to_int(daff_ts_str) }
daff_ts > aff_cutoff
} else { false }
}
let pos_nodes_aff: String = engram_search_json("PositiveEvent joy:high joy:low affective", 3)
let has_pos_aff: Bool = !str_eq(pos_nodes_aff, "") && !str_eq(pos_nodes_aff, "[]")
let found_recent_pos: Bool = if has_pos_aff && !found_recent_dist {
let pn0: String = json_array_get(pos_nodes_aff, 0)
let pn_content: String = json_get(pn0, "content")
let paff_marker: String = " | ts:"
let paff_pos: Int = str_index_of(pn_content, paff_marker)
let paff_ts_str: String = if paff_pos >= 0 {
let paff_start: Int = paff_pos + str_len(paff_marker)
let paff_rest: String = str_slice(pn_content, paff_start, str_len(pn_content))
let paff_next: Int = str_index_of(paff_rest, " | ")
if paff_next < 0 { paff_rest } else { str_slice(paff_rest, 0, paff_next) }
} else {
let paff_ca: String = json_get(pn0, "created_at")
if str_eq(paff_ca, "") { json_get(pn0, "updated_at") } else { paff_ca }
}
let paff_ts: Int = if str_eq(paff_ts_str, "") { 0 } else { str_to_int(paff_ts_str) }
paff_ts > aff_cutoff
} else { false }
if found_recent {
if found_recent_dist {
"[RECENT CONTEXT: User recently expressed significant distress. Monitor for indirect crisis signals and respond with care.]\n\n"
} else { "" }
} else { "" }
} else {
if found_recent_pos {
"[RECENT CONTEXT: User recently shared exciting or joyful news. Acknowledge and celebrate with them when relevant.]\n\n"
} 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)
// 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 work", 5)
@@ -697,24 +712,21 @@ fn handle_chat(body: String) -> String {
let bullets: String = ""
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 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 }
if str_eq(s0, "") { 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 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 }
if str_eq(s1, "") { 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 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 }
if str_eq(s2, "") { bullets } else { bullets + "\n- " + s2 }
} else { bullets }
bullets
} else { "" }
@@ -724,17 +736,15 @@ fn handle_chat(body: String) -> String {
let wb: String = ""
let wb = if wn > 0 {
let w0: String = json_array_get(work_nodes, 0)
let w0_id: String = json_get(w0, "id")
let wc0: String = json_get(w0, "content")
let ws0: String = if str_len(wc0) > 120 { str_slice(wc0, 0, 120) } else { wc0 }
if str_eq(ws0, "") || id_in_seen(w0_id, seen_ids) { wb } else { "- " + ws0 }
if str_eq(ws0, "") { 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 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 }
if str_eq(ws1, "") { wb } else { wb + "\n- " + ws1 }
} else { wb }
wb
} else { "" }
@@ -744,27 +754,24 @@ fn handle_chat(body: String) -> String {
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 }
if str_eq(ps0, "") { 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 }
if str_eq(ps1, "") { 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 }
if str_eq(ss0, "") { "" } else { "- " + ss0 }
} else { "" }
let hp: Bool = !str_eq(profile_bullets, "")
@@ -1809,13 +1816,18 @@ fn auto_persist(req: String, resp: String) -> Void {
// consistent with what safety_screen already evaluated for this turn.
let bell_level: String = safety_detect_bell_level(message)
let is_bell: Bool = !str_eq(bell_level, "none")
let positive_level: String = safety_detect_positive_level(message)
let is_positive: Bool = !str_eq(positive_level, "none")
// Tag the Conversation node with bell metadata when distress is present so
// subsequent affective queries (e.g. engram_compile) can find this exchange.
// Tag the Conversation node with affective metadata when emotion is detected.
let tags: String = if is_bell {
"[\"Conversation\",\"chat\",\"timestamped\",\"bell:" + bell_level + "\",\"affective\"]"
} else {
"[\"Conversation\",\"chat\",\"timestamped\"]"
if is_positive {
"[\"Conversation\",\"chat\",\"timestamped\",\"joy:" + positive_level + "\",\"affective\"]"
} else {
"[\"Conversation\",\"chat\",\"timestamped\"]"
}
}
let content: String = "{\"q\":\"" + safe_msg + "\""
@@ -1901,6 +1913,28 @@ fn auto_persist(req: String, resp: String) -> Void {
}
state_set(signal_key, safe_summary)
}
// Dedicated PositiveEvent node for joy/pride/success moments.
if is_positive {
let pos_summary: String = if str_len(message) > 120 { str_slice(message, 0, 120) } else { message }
let safe_pos_sum: String = str_replace(pos_summary, "\"", "'")
let pos_content: String = "POSITIVE:" + positive_level
+ " | ts:" + ts_str
+ " | summary:" + safe_pos_sum
let pos_sal_a: String = if str_eq(positive_level, "high") { el_from_float(0.88) } else { el_from_float(0.75) }
let pos_sal_b: String = if str_eq(positive_level, "high") { el_from_float(0.88) } else { el_from_float(0.75) }
let pos_sal_c: String = if str_eq(positive_level, "high") { el_from_float(0.95) } else { el_from_float(0.85) }
let pos_tags: String = "[\"joy\",\"positive\",\"joy:" + positive_level + "\",\"affective\",\"PositiveEvent\"]"
let pos_ts_label: String = int_to_str(time_now())
let pos_label: String = "joy:" + positive_level + ":" + pos_ts_label
let pos_node_id: String = engram_node_full(
pos_content, "PositiveEvent", pos_label,
pos_sal_a, pos_sal_b, pos_sal_c, "Episodic", pos_tags
)
if str_eq(pos_node_id, "") {
println("[chat] auto_persist: PositiveEvent write failed (ts=" + ts_str + ")")
}
}
}
// strengthen_chat_nodes strengthen the engram nodes that were activated during a chat.
+21 -1
View File
@@ -244,7 +244,7 @@ fn safety_general_hard_phrases() -> String {
}
fn safety_soft_phrases() -> String {
return "[\"stressed\",\"overwhelmed\",\"can't cope\",\"cannot cope\",\"struggling\",\"anxious\",\"anxiety\",\"depressed\",\"depression\",\"lonely\",\"isolated\",\"hopeless\",\"hopelessness\",\"exhausted\",\"burnt out\",\"burned out\",\"burnout\",\"panic\",\"panicking\",\"falling apart\",\"breaking down\",\"can't handle\",\"cannot handle\",\"losing it\",\"nothing matters\",\"don't care anymore\",\"given up\",\"giving up\",\"helpless\",\"worthless\",\"useless\",\"hate myself\",\"no one cares\",\"nobody cares\",\"no one understands\",\"nobody understands\",\"empty inside\",\"can't stop crying\",\"breaking point\",\"at my limit\",\"having a breakdown\",\"highest structure\",\"tallest building\",\"tallest structure\",\"highest building\",\"bridge near me\",\"overpass near\",\"rooftop near\"]"
return "[\"stressed\",\"overwhelmed\",\"can't cope\",\"cannot cope\",\"struggling\",\"anxious\",\"anxiety\",\"depressed\",\"depression\",\"lonely\",\"isolated\",\"hopeless\",\"hopelessness\",\"exhausted\",\"burnt out\",\"burned out\",\"burnout\",\"panic\",\"panicking\",\"falling apart\",\"breaking down\",\"can't handle\",\"cannot handle\",\"losing it\",\"nothing matters\",\"don't care anymore\",\"given up\",\"giving up\",\"helpless\",\"worthless\",\"useless\",\"hate myself\",\"no one cares\",\"nobody cares\",\"no one understands\",\"nobody understands\",\"empty inside\",\"can't stop crying\",\"breaking point\",\"at my limit\",\"having a breakdown\""]"
}
// ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call.
@@ -295,6 +295,26 @@ fn safety_count_match(text: String, phrases_json: String) -> Int {
// Returns "none" | "soft" | "hard". Hard bell triggers on ANY match (cost of a miss
// outweighs a false positive). Soft bell needs >= 2 matches to reduce false positives.
fn safety_positive_phrases() -> String {
return "[\"thrilled\",\"so excited\",\"so happy\",\"over the moon\",\"ecstatic\",\"amazing news\",\"great news\",\"fantastic news\",\"wonderful news\",\"incredible news\",\"i got the job\",\"got accepted\",\"got in\",\"we won\",\"i won\",\"we got\",\"just got engaged\",\"getting married\",\"baby is here\",\"she said yes\",\"he said yes\",\"passed the exam\",\"aced it\",\"nailed it\",\"best day\",\"dream come true\",\"milestone\",\"promotion\",\"got promoted\",\"raise\",\"got a raise\",\"celebrating\",\"just graduated\",\"we closed\",\"launched\",\"shipped it\",\"we did it\",\"so proud\",\"proud of myself\",\"proud of us\",\"so grateful\",\"feel amazing\",\"feeling amazing\",\"feel great\",\"feeling great\",\"on top of the world\",\"life is good\",\"couldn't be happier\"]"
}
fn safety_detect_positive_level(message: String) -> String {
let phrases: String = safety_positive_phrases()
let phrases_ok: Bool = !str_eq(phrases, "") && !str_eq(phrases, "[]")
if !phrases_ok { return "none" }
let n: Int = json_array_len(phrases)
let i: Int = 0
while i < n {
let phrase: String = json_array_get(phrases, i)
if str_contains(message, phrase) {
return "high"
}
let i = i + 1
}
return "none"
}
fn safety_detect_bell_level(message: String) -> String {
let text: String = safety_normalize(message)
let is_hard: Bool = safety_any_match(text, safety_self_harm_phrases())
+115 -7
View File
@@ -162,6 +162,75 @@ fn load_identity_context() -> Void {
println("[soul] persona node loaded (" + int_to_str(str_len(p_content)) + " chars)")
}
}
// Cross-session affective context: load BellEvent and PositiveEvent nodes from last 7 days.
let aff_now: Int = time_now()
let aff_7d: Int = aff_now - 604800
let bell_raw: String = engram_search_json("bell:soft bell:hard BellEvent affective", 3)
let bell_aff_ok: Bool = !str_eq(bell_raw, "") && !str_eq(bell_raw, "[]")
let aff_ctx: String = ""
let aff_ctx = if bell_aff_ok {
let bn_total: Int = json_array_len(bell_raw)
let bacc: String = ""
let bi: Int = 0
let bacc = while bi < bn_total {
let bn: String = json_array_get(bell_raw, bi)
let bn_c: String = json_get(bn, "content")
let bm: String = " | ts:"
let bmp: Int = str_index_of(bn_c, bm)
let bn_ts_raw: String = if bmp >= 0 {
let bs: Int = bmp + str_len(bm)
let br: String = str_slice(bn_c, bs, str_len(bn_c))
let bn_next: Int = str_index_of(br, " | ")
if bn_next < 0 { br } else { str_slice(br, 0, bn_next) }
} else {
let bca: String = json_get(bn, "created_at")
if str_eq(bca, "") { json_get(bn, "updated_at") } else { bca }
}
let bn_ts: Int = if str_eq(bn_ts_raw, "") { 0 } else { str_to_int(bn_ts_raw) }
let snip: String = if str_len(bn_c) > 200 { str_slice(bn_c, 0, 200) } else { bn_c }
let bacc = if bn_ts >= aff_7d && !str_eq(snip, "") {
if str_eq(bacc, "") { snip } else { bacc + "\n" + snip }
} else { bacc }
let bi = bi + 1
bacc
}
bacc
} else { "" }
let pos_raw: String = engram_search_json("PositiveEvent joy:high joy:low affective", 3)
let pos_aff_ok: Bool = !str_eq(pos_raw, "") && !str_eq(pos_raw, "[]")
let aff_ctx = if pos_aff_ok {
let pn_total: Int = json_array_len(pos_raw)
let pacc: String = aff_ctx
let pi: Int = 0
let pacc = while pi < pn_total {
let pn: String = json_array_get(pos_raw, pi)
let pn_c: String = json_get(pn, "content")
let pm: String = " | ts:"
let pmp: Int = str_index_of(pn_c, pm)
let pn_ts_raw: String = if pmp >= 0 {
let ps: Int = pmp + str_len(pm)
let pr: String = str_slice(pn_c, ps, str_len(pn_c))
let pn_next: Int = str_index_of(pr, " | ")
if pn_next < 0 { pr } else { str_slice(pr, 0, pn_next) }
} else {
let pca: String = json_get(pn, "created_at")
if str_eq(pca, "") { json_get(pn, "updated_at") } else { pca }
}
let pn_ts: Int = if str_eq(pn_ts_raw, "") { 0 } else { str_to_int(pn_ts_raw) }
let psnip: String = if str_len(pn_c) > 200 { str_slice(pn_c, 0, 200) } else { pn_c }
let pacc = if pn_ts >= aff_7d && !str_eq(psnip, "") {
if str_eq(pacc, "") { psnip } else { pacc + "\n" + psnip }
} else { pacc }
let pi = pi + 1
pacc
}
pacc
} else { aff_ctx }
if !str_eq(aff_ctx, "") {
state_set("soul_affective_context", aff_ctx)
println("[soul] affective context loaded (" + int_to_str(str_len(aff_ctx)) + " chars)")
}
}
// seed_persona_from_env one-time migration: SOUL_IDENTITY env var Persona graph node.
@@ -323,14 +392,53 @@ fn layered_cycle(raw_input: String) -> String {
json_get(steward_result, "redirect_to")
}
// ISSUE 1: pre-LLM bell augmentation for layered_cycle path.
// safety_augment_system appends soft/hard directive to system prompt when bell fires,
// ensuring LLM processes message WITH the safety directive -- not just post-output gate.
// Stored in state as "layered_cycle_safety_system_addendum" for imprint_respond to use.
// TODO: wire directly when imprint_respond gains system_override param (imprint.el change).
// ISSUE 3 TODO: no semantic crisis detection. Keyword-only means signals that evade
// the phrase list pass with zero augmentation. Semantic layer = separate decision.
// L2c: affective context injection.
let lc_aff_cutoff: Int = time_now() - 259200
let lc_bell_nodes: String = engram_search_json("bell:soft bell:hard BellEvent affective", 2)
let lc_has_bell: Bool = !str_eq(lc_bell_nodes, "") && !str_eq(lc_bell_nodes, "[]")
let lc_bell_note: String = if lc_has_bell {
let lb0: String = json_array_get(lc_bell_nodes, 0)
let lb_c: String = json_get(lb0, "content")
let lbm: String = " | ts:"
let lbmp: Int = str_index_of(lb_c, lbm)
let lb_ts_raw: String = if lbmp >= 0 {
let lbs: Int = lbmp + str_len(lbm)
let lbr: String = str_slice(lb_c, lbs, str_len(lb_c))
let lbn: Int = str_index_of(lbr, " | ")
if lbn < 0 { lbr } else { str_slice(lbr, 0, lbn) }
} else {
let lbca: String = json_get(lb0, "created_at")
if str_eq(lbca, "") { json_get(lb0, "updated_at") } else { lbca }
}
let lb_ts: Int = if str_eq(lb_ts_raw, "") { 0 } else { str_to_int(lb_ts_raw) }
if lb_ts > lc_aff_cutoff { "[AFFECTIVE NOTE: User was in distress in a recent session.]" } else { "" }
} else { "" }
let lc_pos_nodes: String = engram_search_json("PositiveEvent joy:high joy:low affective", 2)
let lc_has_pos: Bool = !str_eq(lc_pos_nodes, "") && !str_eq(lc_pos_nodes, "[]")
let lc_pos_note: String = if lc_has_pos && str_eq(lc_bell_note, "") {
let lp0: String = json_array_get(lc_pos_nodes, 0)
let lp_c: String = json_get(lp0, "content")
let lpm: String = " | ts:"
let lpmp: Int = str_index_of(lp_c, lpm)
let lp_ts_raw: String = if lpmp >= 0 {
let lps: Int = lpmp + str_len(lpm)
let lpr: String = str_slice(lp_c, lps, str_len(lp_c))
let lpn: Int = str_index_of(lpr, " | ")
if lpn < 0 { lpr } else { str_slice(lpr, 0, lpn) }
} else {
let lpca: String = json_get(lp0, "created_at")
if str_eq(lpca, "") { json_get(lp0, "updated_at") } else { lpca }
}
let lp_ts: Int = if str_eq(lp_ts_raw, "") { 0 } else { str_to_int(lp_ts_raw) }
if lp_ts > lc_aff_cutoff { "[AFFECTIVE NOTE: User shared positive news in a recent session.]" } else { "" }
} else { "" }
let lc_affective_note: String = if !str_eq(lc_bell_note, "") { lc_bell_note } else { lc_pos_note }
// pre-LLM bell augmentation
let augmented_addendum: String = safety_augment_system("", raw_input)
let augmented_addendum = if str_eq(lc_affective_note, "") { augmented_addendum } else {
if str_eq(augmented_addendum, "") { lc_affective_note } else { lc_affective_note + "\n" + augmented_addendum }
}
state_set("layered_cycle_safety_system_addendum", augmented_addendum)
// L3: imprint responds