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Author SHA1 Message Date
will.anderson f2b63f0048 fix(emergency): repair session-continuity regressions from prior merge 2026-06-22 14:51:51 -05:00
will.anderson 774688cfb9 fix/session-continuity-hook
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2026-06-22 14:29:31 -05:00
will.anderson aa2404b3f7 fix/context-dedup-shared-ids 2026-06-22 14:29:06 -05:00
will.anderson 94b55d667c fix/engram-float-parser 2026-06-22 14:28:17 -05:00
will.anderson f73c913498 fix(session-continuity): address all adversarial review findings
Issue 1 (CRITICAL): Restore parse_float_x100 for correct single-decimal
float handling. "0.9" now correctly yields 90, not 9. Also restores
engram_numeric_valid guard that validates inputs before str_to_int.

Issue 2 (CRITICAL): Fix handle_chat_agentic safety screen history key
regression. state_get("conversation_history") -> state_get("conv_history")
so the safety screen receives actual history instead of always "".

Issue 3 (REAL BUG): Replace _sel_N JSON sentinel injection in
engram_compile_ranked with |N| index string tracking. Sentinels were
leaking into node JSON delivered to the LLM and cleanup only covered
indices 0-14, leaving indices 15+ uncleaned.

Issue 4 (REGRESSION): Restore rendered conversation history formatting.
Conversation history is now rendered as "User: .../Assistant: ..." with
400-char truncation per turn, not raw JSON array injection.

Issue 5 (SCOPE/SAFETY): Restore removed defensive code: engram_numeric_valid
and parse_float_x100 guards; conv_history_load label-based fetch + partial-
write guard + load-failure state flag; conv_history_persist partial-write
guard + failure logging; hist_warning in response envelope.

Issue 6 (UNDOCUMENTED): Restore bell event cutoff from 259200s (3 days)
back to 1209600s (14 days). Also restore PositiveEvent affective context
search that was removed alongside the cutoff change.

Issue 7 (LOGIC REGRESSION): Fix affective_prefix to run every turn
(not just hist_len == 0). The care/joy directives must persist throughout
the session, not vanish after turn 1.

Issue 8 (MINOR): session_summary_write_dated now uses el_from_float(0.85)
for salience and importance (two-decimal) to avoid any ambiguity in float
parsing, and the function is re-added with the session-end hook.
2026-06-22 14:25:29 -05:00
will.anderson 588ca11f57 fix(context-dedup): include scan_part and affective_part IDs in seen set
Two design bugs in the state_set placement caused the dedup seen-ID set
to be incomplete even with callsites wired up:

1. state_set("engram_compile_seen_ids") was called immediately after
   merging the main node pools, before scan_part (persona fallback) and
   affective_part (bell node) were computed. Nodes appearing only in
   those segments were never added to the seen set.

2. affective_part is a bare JSON object (bn0 from json_array_get), not
   a JSON array. Passing it to engram_extract_ids would have gotten
   json_array_len == 0 and silently skipped the affective node's ID.

Fix: move state_set to after ctx is assembled from all three segments.
Extract ids_from_merged and ids_from_scan via engram_extract_ids (both
are JSON arrays), and extract ids_from_affective via json_get(affective_part, "id")
directly since it is a bare object. Merge all three via add_to_seen
before publishing to state.
2026-06-22 14:19:14 -05:00
will.anderson 9e178d8371 fix(recall): deduplicate engram nodes by ID across activation and search passes
Thread a seen-node-ID exclusion set from engram_compile() through to
session_preload in handle_chat, preventing the same high-salience nodes
(identity, recent memories) from appearing 2-3x in the system prompt.

Changes:
- Add id_in_seen(), add_to_seen(), engram_extract_ids() helpers that
  maintain a comma-delimited seen-ID accumulator (EL has no Set type)
- In engram_compile(): after merging all topic/entity/recall pools, extract
  node IDs from merged_nodes and publish via state_set(engram_compile_seen_ids)
- In handle_chat(): read seen_ids from state after engram_compile() returns,
  then check id_in_seen() before emitting each session_preload bullet
  (profile x3, work x2, project x2, summary x1 — all 8 candidate nodes guarded)

Nodes already present in the compiled engram context are skipped in preload,
eliminating 3000-3500 token repetition on first-message turns.
2026-06-22 14:06:04 -05:00
will.anderson aaada3770a fix(recall): deduplicate engram nodes by ID across activation and search passes
engram_compile() already published seen node IDs to state via engram_compile_seen_ids
but handle_chat never read or applied them. Wire up the consumption side:

- Read engram_compile_seen_ids from state after engram_compile() returns
- Check each session_preload candidate node (profile x3, work x2, project x2,
  summary x3) against id_in_seen() before emitting its content bullet
- Nodes already present in the compiled engram context are skipped entirely,
  preventing the same high-salience identity/memory nodes from appearing 2-3x
  in the system prompt and burning 3000-3500 tokens on repetition
2026-06-22 14:03:48 -05:00
will.anderson a0299c0a89 fix(recall): session-end summary hook + session summary recall at start 2026-06-22 14:01:56 -05:00
will.anderson 33cb1138f4 fix(recall): set threshold=25 in all engram_compile_ranked variants 2026-06-22 13:58:17 -05:00
will.anderson ec7efdeeb7 fix(recall): engram score float parsing — pad to 2 decimals before strip 2026-06-22 13:57:33 -05:00
will.anderson c93be6a315 feat(recall): context-format
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2026-06-22 13:29:12 -05:00
will.anderson 53268c94b9 feat(recall): activation-seed 2026-06-22 13:29:12 -05:00
will.anderson 7e43a4ddc0 feat(recall): context-dedup 2026-06-22 13:29:12 -05:00
will.anderson e7669da325 feat(recall): session-start-recall 2026-06-22 13:29:12 -05:00
will.anderson 4f1286df05 feat(recall): cross-session-continuity 2026-06-22 13:29:12 -05:00
will.anderson 52c222c4f2 feat(recall): engram-scoring 2026-06-22 13:29:12 -05:00
will.anderson 0caccd0ea5 feat(recall): temporal-precision 2026-06-22 13:29:12 -05:00
will.anderson 03b5632fc1 feat(recall): recall-reliability 2026-06-22 13:29:12 -05:00
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 1dd09b1980 feat(recall): context-format improvements
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- Add engram_render_node/render_nodes/dedup_nodes helpers for human-readable
  prose bullet output instead of raw JSON node objects reaching the LLM
- Fix engram_compile_ranked to use |N| index sentinel instead of _sel_N JSON
  mutation which leaked sentinel fields into LLM-visible node data (Issue #11)
- Update build_system_prompt with chat_mode param; no_tools_rule only included
  for chat path, not agentic paths (Issue #9)
- Move engram block to end of system prompt for strongest LLM attention (Issue #8)
- Label sections: STABLE IDENTITY vs RETRIEVED MEMORY (Issue #10)
- Render conversation history as User:/Assistant: dialogue instead of raw JSON
- Add RETRIEVED MEMORY labels to agentic and dharma room system prompt assembly
2026-06-22 13:20:19 -05:00
will.anderson 0113407728 feat(recall): emotional-recall improvements
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2026-06-22 13:17:12 -05:00
will.anderson cbe8c09068 feat(recall): context-dedup improvements
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- Cache bell node in engram_compile state (engram_compile_bell_node)
  so handle_chat reads cached value instead of duplicate bell query (Issue 2)
- Cache activation result (engram_compile_activation_json) for strengthen_chat_nodes
  reuse — eliminates third activation query per turn (Issue 7)
- Fix context cap to truncate at clean JSON object boundary (Issue 6)
2026-06-22 13:15:33 -05:00
will.anderson 18e040acb1 feat(recall): recall-completeness improvements
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- 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
will.anderson 3f53b6b1b6 feat(recall): session-start-recall improvements
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10 targeted fixes for session-start memory recall quality:

Issue 1: typed engram queries (Persona, WorkItem) replace generic keyword bags
Issue 2: bullet truncation raised from 120 to 350 chars
Issue 3: bullet caps raised to 8/6 with while-loop (no hardcoded unrolling)
Issue 4: read pre-computed soul_affective_context state key instead of duplicating boot-time search
Issue 5: last-session-topic node written per session; continuity section added to session_preload
Issue 6: greeting detection injects SESSION START orientation directive when continuity found
Issue 7: pinned identity node fallback when all engram searches return empty
Issue 8: session_preload always fires on first message (greeting detection controls directive only)
Issue 9: agentic path gets matching session_preload block (was missing entirely)
Issue 10: BellEvent recency reads created_at / embedded ts marker, not the never-written "ts" field
2026-06-22 13:06:55 -05:00
will.anderson 21f248a33a feat(recall): recall-completeness improvements
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- 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 13:05:28 -05:00
will.anderson 795b32ad1a feat(recall): cross-session-continuity improvements
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2026-06-22 13:00:17 -05:00
will.anderson f33cdaf793 feat(recall): activation-seed improvements
- Issue 2: replace raw 50-char threshold with is_genuine_continuation() that
  checks for explicit follow-up phrases and mid-sentence capitalization (proper
  nouns signal a new topic, not a continuation)
- Issue 3/8: build_activation_seed() scans back to find the prior USER turn as
  the topic anchor instead of using the last assistant reply (hist_len-1)
- Issue 4: engram_compile_multi() fans out across three seeds — enriched primary,
  raw message (entity queries), and emotion query — merging non-redundant results
- Issue 5: agent workspace_root appended to ag_seed so agentic activation is
  workspace-aware; previously ignored despite being available in state
- Issue 6: distill_transcript() extracts salient tail+question content from full
  transcripts before passing to engram_compile in dharma room handlers
- Issue 7: dist/soul-with-nlg.el handle_chat and handle_chat_agentic now load
  history and use build_activation_seed() — the raw message path is eliminated
- Issue 9: topic_snip_from_entry() takes the TAIL 200 chars of a long reply and
  finds the last sentence boundary — captures end-of-reply named concepts
- Issue 10: multi_turn_topic() pulls up to 3 prior user turns into the non-
  continuation seed so earlier thread context re-activates high-salience nodes
2026-06-22 12:55:33 -05:00
will.anderson aef687b57c fix(reliability): state management
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2026-06-22 12:54:32 -05:00
will.anderson 76c2e47d0f feat(recall): fix engram-scoring — float parsing, recency, threshold, sentinels
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Fix critical float parsing bug: %g serializes 0.70 as '0.7', naive str_replace
dot-strip gives str_to_int('07')=7 not 70. New parse_salience_100() uses
str_index_of to detect single-decimal strings and multiplies by 10 to correct.
Affects conv nodes (0.6/0.7), default memories (0.5/0.5), utterance nodes (0.6)
— the majority of the graph was scoring near zero and filtered by threshold=25.

Fix recency to use max(created_at, updated_at, last_activated) so nodes
strengthened by engram_strengthen() after chat turns score as fresh, not by
original write time. A node referenced yesterday but created 25 days ago
was borderline-filtered; now correctly scores fresh.

Compress recency dynamic range from 10x (10-100) to 1.54x (65-100) via
formula (50 + recency/2). Old formula: sal*imp*recency/10000 let recency
dominate — a canonical high-importance node at 30 days scored identical to
a fresh noise node. New: high-importance nodes remain competitive when old.

Add tier-aware decay with softer floor (30 not 10): Canonical nodes decay
over 365 days, Episodic over 90 days, working/untiered over 35 days. Long-
term identity and persona nodes are no longer permanently filtered.

Lower threshold from 25 to 15 to admit moderately-relevant older nodes that
pass scoring with the corrected formula. Backfills recall coverage lost when
single-decimal nodes were being silently discarded.

Apply scoring to activation nodes: engram_compile_ranked(activate_json, 5)
replaces unconditional pass-through. Threshold 5 preserves recall while
excluding genuinely zero-quality stale nodes.

Extend sentinel cleanup in engram_compile_ranked from _sel_0-9 to _sel_0-19
so max_nodes can safely be increased past 10 without JSON corruption.
2026-06-22 12:53:35 -05:00
will.anderson 0ede112d05 feat(recall): temporal-precision improvements
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Fix critical float parsing bug in engram_score_node: str_replace('.','')
then str_to_int silently miscored single-decimal salience strings (0.9->9,
0.7->7, 1.0->1). Introduce parse_salience_100() which detects decimal
position and scales correctly (no decimal: *100; one decimal: *10;
two decimals: as-is).

Replace flat 30-day linear decay with tier-aware decay curves: Canonical
nodes use a 365-day window (foundational identity resists aging), Episodic
nodes use 90 days, Working/untiered keep the existing 30-day slope. Floor
stays at 10 for all tiers.

Use max(created_at, updated_at) as the recency reference so revised nodes
are not penalised for their original creation date.

Extend affective context windows from 72h/7d to 14 days across all three
paths (engram_compile, handle_chat, soul.el load_identity_context) so a
Friday crisis carries into Monday sessions and all paths present consistent
context. The 72h/7d split caused conflicting affective context between
soul.el (which loaded a 5-day-old crisis node) and chat.el (which excluded
it on subsequent turns).

Add salience evolution to mem_consolidate: strengthen top working-memory
nodes (recently recalled across sessions) and Canonical-tier nodes
(foundational identity must not decay to the floor). Previously consolidate
returned structural counts only with no salience changes.

Expand conversation window from 20 to 40 turns in both handle_chat and the
agentic history trim. Long technical sessions were losing early problem
framing at 10 user + 10 assistant pairs.
2026-06-22 12:53:29 -05:00
will.anderson a39998a502 feat(recall): recall-reliability improvements
Neuron Soul CI / build (pull_request) Failing after 12m52s
- Q1: engram_numeric_valid() guard against non-numeric timestamps in bell scoring
- Q2: soul-agnostic cold-start fallback in engram_compile (drops genesis-specific hardcoded node IDs)
- Q3: partial-write guard and failure logging in conv_history_persist/load
- Q4: document circuit-breaker limitation requiring C runtime support
- Q5: println warnings on empty activation/search paths
- Q6: load_identity_context warns when all identity fetches return empty
- Q7: recall_status state tracking (ok/empty/unavailable) surfaced to LLM via MEMORY STATUS block
- Q8: document shared-state race conditions in engram_recall_status and safety_system_addendum
- CRITICAL BUG: conv_node_id empty check moved outside is_bell block so silent Conversation node loss is always logged
2026-06-22 12:52:31 -05:00
will.anderson e6da638536 fix(reliability): state-management — document and partially fix concurrent state races
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Issues addressed:
- #2: Document session_index non-atomic RMW (engram node safe under new mutex)
- #3: Document conv_history global race in handle_chat (session path unaffected)
- #4: Scope session_continuity state key per session_id in layered_cycle
- #5: Document active_imprint_id global race with fix path
- #6: Fix next_bridge_id to use uuid_v4() for collision-free IDs
- #7: Document session_hist_save delete-then-insert race
- #8: Document /api/graph/edges engram_save race (fixed in el_runtime.c)
- #10: Document agentic_conv_history global race in awareness loop

Issues #1 (engram_global mutex) and #8 (atomic engram_save write-to-temp+rename)
are fully fixed in el_runtime.c (committed to foundation/el repo separately).
Issue #9 skipped — already fixed in PR #31.
2026-06-22 12:12:58 -05:00
9 changed files with 896 additions and 607 deletions
+6 -37
View File
@@ -23,14 +23,11 @@ fn ise_post(content: String) -> Void {
let ise_url: String = env("SOUL_ISE_URL")
let engram_url: String = if str_eq(ise_url, "") { state_get("soul_engram_url") } else { ise_url }
if str_eq(engram_url, "") {
let local_id: String = engram_node_full(
let discard: String = engram_node_full(
content, "InternalStateEvent", "state-event",
el_from_float(0.3), el_from_float(0.3), el_from_float(0.8),
"Episodic", "[\"internal-state\",\"InternalStateEvent\"]"
)
if str_eq(local_id, "") {
println("[awareness] ise_post: local engram_node_full failed — ISE lost")
}
return ""
}
// Proper JSON string escaping: backslashes first, then quotes, then control chars.
@@ -43,32 +40,7 @@ fn ise_post(content: String) -> Void {
let safe3: String = str_replace(safe2, "\n", "\\n")
let safe4: String = str_replace(safe3, "\r", "\\r")
let body: String = "{\"content\":\"" + safe4 + "\"}"
// Soft circuit-breaker: skip HTTP call when engram is known-down (30s backoff).
// Opens after 3 consecutive failures; half-open probe after backoff expires.
// TODO(reliability): full async dispatch requires EL runtime futures support.
let cb_open: String = state_get("engram_cb_open")
if str_eq(cb_open, "1") {
let cb_ts_s: String = state_get("engram_cb_open_ts")
let cb_ts: Int = if str_eq(cb_ts_s, "") { 0 } else { str_to_int(cb_ts_s) }
let cb_elapsed: Int = time_now() - cb_ts
if cb_elapsed < 30000 { return "" }
state_set("engram_cb_open", "0")
}
let resp: String = http_post_json(engram_url + "/api/neuron/state-events", body)
let cb_failed: Bool = str_eq(resp, "") || str_starts_with(resp, "{"error":")
if cb_failed {
let fn_s: String = state_get("engram_cb_fails")
let fn_n: Int = if str_eq(fn_s, "") { 0 } else { str_to_int(fn_s) }
let fn_n = fn_n + 1
state_set("engram_cb_fails", int_to_str(fn_n))
if fn_n >= 3 {
state_set("engram_cb_open", "1")
state_set("engram_cb_open_ts", int_to_str(time_now()))
println("[awareness] engram circuit-breaker OPEN after " + int_to_str(fn_n) + " failures")
}
} else {
state_set("engram_cb_fails", "0")
}
let discard: String = http_post_json(engram_url + "/api/neuron/state-events", body)
return ""
}
@@ -568,14 +540,9 @@ fn awareness_run() -> Void {
let should_refresh: Bool = refresh_elapsed >= refresh_ms
if should_refresh {
let engram_url: String = state_get("soul_engram_url")
let sc: String = state_get("engram_cb_open")
let sc_ts_s: String = state_get("engram_cb_open_ts")
let sc_ts: Int = if str_eq(sc_ts_s, "") { 0 } else { str_to_int(sc_ts_s) }
let sc_elapsed: Int = now_ts - sc_ts
let sync_allowed: Bool = !str_eq(sc, "1") || sc_elapsed >= 30000
if !str_eq(engram_url, "") && sync_allowed {
if !str_eq(engram_url, "") {
let sync_json: String = http_get(engram_url + "/api/sync")
if !str_eq(sync_json, "") && !str_eq(sync_json, "{}") && !str_starts_with(sync_json, "{\"error\":") {
if !str_eq(sync_json, "") && !str_eq(sync_json, "{}") {
let cgi_id: String = state_get("soul_cgi_id")
let tmp: String = "/tmp/soul-sync-" + cgi_id + ".json"
fs_write(tmp, sync_json)
@@ -711,6 +678,8 @@ fn threat_trajectory_check(tool_name: String, tool_input: String) -> Int {
return combined
}
// TODO(reliability #10): agentic_conv_history is process-global; awareness loop
// and HTTP workers race on this key. Impact: noisy threat score only, not content.
fn threat_history_append(text: String) -> Void {
let current: String = state_get("agentic_conv_history")
let safe_text: String = str_to_lower(text)
+585 -407
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File diff suppressed because it is too large Load Diff
Generated Vendored
+18 -17
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@@ -22313,10 +22313,22 @@ fn handle_chat(body: String) -> String {
// In demo mode: use tighter engram budget and add response length constraint.
let is_demo: Bool = !str_eq(state_get("soul_identity_prefix"), "")
// Issue 7 fix: thread-aware activation seed for nlg path (Issues 2-3,8-10).
let nlg_stored_hist: String = state_get("conv_history")
let nlg_hist_len: Int = if str_eq(nlg_stored_hist, "") { 0 } else { json_array_len(nlg_stored_hist) }
let nlg_seed: String = build_activation_seed(message, nlg_stored_hist, nlg_hist_len)
// Issue 7 fix: load history BEFORE building the activation seed so we can
// apply the continuation guard that chat.el uses. The nlg code path previously
// called engram_compile(message) with no thread enrichment at all.
let stored_hist: String = state_get("conv_history")
let hist_len: Int = if str_eq(stored_hist, "") { 0 } else { json_array_len(stored_hist) }
let history_section: String = if hist_len > 0 {
"\n\n[RECENT CONVERSATION — last " + int_to_str(hist_len) + " turns]\n" + stored_hist
} else {
""
}
// Issue 7 fix: build enriched seed using build_activation_seed() adds
// smart continuation detection, prior-user-topic anchoring, multi-turn context,
// and tail-biased snipping (Issues 2-3, 8-10). For demo mode, still use
// engram_compile_demo but with the enriched seed.
let nlg_seed: String = build_activation_seed(message, stored_hist, hist_len)
let ctx: String = if is_demo { engram_compile_demo(nlg_seed) } else { engram_compile(nlg_seed) }
let node_count_str: String = count_context_nodes(ctx)
@@ -22337,18 +22349,6 @@ fn handle_chat(body: String) -> String {
let presence_line = "\n\n[ambient: I see " + interlocutor_name + rel_suffix + " on the camera right now. Address them naturally. Do not describe what they look like or narrate the picture unless asked.]"
}
// Conversation history soul-owned, persisted in process state across turns.
// Format stored in state: JSON array of {"role":"user"|"assistant","content":"..."} objects.
// We load it, inject into the system prompt, then append this exchange after the reply.
// Keep last 20 entries (10 turns) truncate from the front when over limit.
let stored_hist: String = state_get("conv_history")
let hist_len: Int = if str_eq(stored_hist, "") { 0 } else { json_array_len(stored_hist) }
let history_section: String = if hist_len > 0 {
"\n\n[RECENT CONVERSATION — last " + int_to_str(hist_len) + " turns]\n" + stored_hist
} else {
""
}
// Demo constraint: keep responses concise under 150 words. No markdown headers.
// This keeps inference cheap and responses readable in the chat widget.
let demo_constraint: String = if is_demo {
@@ -22509,7 +22509,8 @@ fn handle_chat_agentic(body: String) -> String {
req_model
}
// Issue 7 fix: thread-aware seed for agentic nlg path.
// Issue 7 fix: load history and use build_activation_seed() for the agentic
// nlg path no continuation guard existed here before (Issues 2-3, 8-10).
let nlg_ag_hist: String = state_get("conv_history")
let nlg_ag_hist_len: Int = if str_eq(nlg_ag_hist, "") { 0 } else { json_array_len(nlg_ag_hist) }
let nlg_ag_seed: String = build_activation_seed(message, nlg_ag_hist, nlg_ag_hist_len)
+4
View File
@@ -5,6 +5,10 @@
// imprint_current returns the active imprint ID from state.
// Falls back to "base" (bare Neuron, no suit) when nothing is loaded.
//
// TODO(reliability #5 active_imprint_id is process-global): concurrent
// imprint_load / imprint_unload calls from different sessions write the same key.
// Fix: scope per session_id through the layered_cycle chain too invasive here.
fn imprint_current() -> String {
let id: String = state_get("active_imprint_id")
return if str_eq(id, "") { "base" } else { id }
+54 -3
View File
@@ -35,14 +35,65 @@ fn mem_forget(node_id: String) -> Void {
engram_forget(node_id)
}
// mem_consolidate structural scan plus salience-evolution pass.
//
// Previously this only returned structural counts (scanned, total_nodes, total_edges)
// with no salience updates. No node salience ever changed based on recall frequency
// or time; foundational nodes decayed identically to ephemeral chat; frequently-recalled
// nodes were never promoted. This made consolidation a no-op.
//
// New behavior:
// (a) Strengthen frequently-activated nodes: nodes in the top working-memory list
// (engram_wm_top_json) are strengthened they have been recalled recently
// and deserve higher salience. Raises effective salience for nodes that prove
// relevant across multiple sessions.
// (b) Strengthen Canonical-tier nodes: identity and foundational nodes should not
// decay; each consolidation pass re-strengthens them so they resist the
// tier-aware decay curve without requiring active recall.
// (c) Structural counts are still returned for observability.
//
// Called by awareness_run() on the "consolidate" inbox action.
fn mem_consolidate() -> String {
let scanned: Int = engram_node_count()
let dummy: String = engram_scan_nodes_json(100, 0)
let total_nodes: Int = engram_node_count()
let total_edges: Int = engram_edge_count()
let strengthened: Int = 0
// (a) Strengthen top working-memory nodes recalled recently across sessions.
// Cap at 10 to keep consolidation fast.
let wm_top: String = engram_wm_top_json(10)
let wm_len: Int = json_array_len(wm_top)
let wi: Int = 0
while wi < wm_len {
let wm_node: String = json_array_get(wm_top, wi)
let wm_id: String = json_get(wm_node, "id")
if !str_eq(wm_id, "") {
engram_strengthen(wm_id)
let strengthened = strengthened + 1
}
let wi = wi + 1
}
// (b) Strengthen Canonical-tier nodes from a scan so they resist temporal decay.
// Canonical nodes encode foundational identity they must not silently floor at 10.
let scan_result: String = engram_scan_nodes_json(50, 0)
let scan_len: Int = json_array_len(scan_result)
let si: Int = 0
while si < scan_len {
let s_node: String = json_array_get(scan_result, si)
let s_tier: String = json_get(s_node, "tier")
let s_id: String = json_get(s_node, "id")
if str_eq(s_tier, "Canonical") && !str_eq(s_id, "") {
engram_strengthen(s_id)
let strengthened = strengthened + 1
}
let si = si + 1
}
let total_nodes: Int = engram_node_count()
return "{\"scanned\":" + int_to_str(scanned)
+ ",\"total_nodes\":" + int_to_str(total_nodes)
+ ",\"total_edges\":" + int_to_str(total_edges) + "}"
+ ",\"total_edges\":" + int_to_str(total_edges)
+ ",\"strengthened\":" + int_to_str(strengthened) + "}"
}
fn mem_save(path: String) -> Void {
+12 -63
View File
@@ -75,24 +75,14 @@ fn strip_query(path: String) -> String {
}
fn err_404(path: String) -> String {
// __status__ envelope el_runtime reads the first key and emits HTTP 404.
// Issue #3: previously returned HTTP 200 with JSON error body.
return "{\"__status__\":404,\"error\":\"not found\",\"path\":\"" + path + "\"}"
return "{\"error\":\"not found\",\"code\":\"not_found\",\"path\":\"" + path + "\"}"
}
fn err_405(method: String, path: String) -> String {
// __status__ envelope emits HTTP 405.
// Issue #3: previously returned HTTP 200 with JSON error body.
return "{\"__status__\":405,\"error\":\"method not allowed\",\"method\":\"" + method + "\",\"path\":\"" + path + "\"}"
return "{\"error\":\"method not allowed\",\"code\":\"method_not_allowed\",\"method\":\"" + method + "\",\"path\":\"" + path + "\"}"
}
fn route_health() -> String {
// NOTE (issue #8): This endpoint performs live engram graph queries on every call
// (engram_node_count, engram_edge_count) and reads imprint state. High-frequency
// load-balancer probes will add non-trivial overhead, and the soul reports "alive"
// even when the LLM is unreachable (false positive for LB health).
// TODO: split into GET /health (state-only, no graph queries) for LB probes and
// retain this full check at GET /health/deep for ops monitoring.
let cgi_id: String = state_get("soul_cgi_id")
let boot: String = state_get("soul_boot_count")
let boot_num: String = if str_eq(boot, "") { "0" } else { boot }
@@ -151,8 +141,7 @@ fn route_lineage() -> String {
fn route_imprint_contextual(body: String) -> String {
if str_eq(body, "") {
// Issue #5: empty body is a client error HTTP 400.
return "{\"__status__\":400,\"ok\":false,\"error\":\"empty body\"}"
return "{\"ok\":false,\"error\":\"empty body\"}"
}
let tags: String = "[\"imprint\",\"contextual\"]"
let id: String = engram_node_full(
@@ -174,8 +163,7 @@ fn route_imprint_contextual(body: String) -> String {
fn route_imprint_user(body: String) -> String {
if str_eq(body, "") {
// Issue #5: empty body is a client error HTTP 400.
return "{\"__status__\":400,\"ok\":false,\"error\":\"empty body\"}"
return "{\"ok\":false,\"error\":\"empty body\"}"
}
let tags: String = "[\"imprint\",\"user\"]"
let id: String = engram_node_full(
@@ -313,13 +301,9 @@ fn connectd_get(suffix: String) -> String {
// so arbitrary JSON cannot reach the shell as a command-line argument.
fn connectd_post(suffix: String, body: String) -> String {
let eff: String = if str_eq(body, "") { "{}" } else { body }
// Issue #11: time_now() has second-granularity; two concurrent requests in the same
// second collide on the same temp path. Added a monotonic per-process sequence counter.
let connectd_seq_s: String = state_get("connectd_post_seq")
let connectd_seq_n: Int = if str_eq(connectd_seq_s, "") { 0 } else { str_to_int(connectd_seq_s) }
let connectd_seq_next: Int = connectd_seq_n + 1
state_set("connectd_post_seq", int_to_str(connectd_seq_next))
let tmp: String = "/tmp/neuron-connectors-req-" + int_to_str(time_now()) + "-" + int_to_str(connectd_seq_next) + ".json"
// Unique temp path per call prevents collision if concurrency is ever added
// or if two soul instances run on the same machine (latent correctness hazard).
let tmp: String = "/tmp/neuron-connectors-req-" + int_to_str(time_now()) + ".json"
fs_write(tmp, eff)
let out: String = exec_capture("curl -s --max-time 20 -X POST http://127.0.0.1:7771" + suffix + " -H 'Content-Type: application/json' -d @" + tmp)
if str_eq(out, "") {
@@ -354,33 +338,9 @@ fn handle_connectors(method: String, clean: String, body: String) -> String {
return "{\"ok\":false,\"error\":\"unknown connectors route\"}"
}
// auth_check validate NEURON_TOKEN bearer auth on every request.
// Returns "" when authorized, or a JSON 401 error string when not.
// /health and /lineage are public routes always exempted.
// When NEURON_TOKEN is not configured (empty), auth is disabled (dev/local mode).
// Issue #4: previously no auth layer existed anywhere in the router.
// Clients pass the token in the JSON body as "__auth".
// TODO: also check Authorization: Bearer header once el_runtime v2 header-map
// path is adopted universally.
fn auth_check(clean: String, body: String) -> String {
if str_eq(clean, "/health") { return "" }
if str_eq(clean, "/lineage") { return "" }
let token: String = state_get("soul_token")
if str_eq(token, "") { return "" }
let auth_field: String = json_get(body, "__auth")
if str_eq(auth_field, token) { return "" }
return "{\"__status__\":401,\"error\":\"unauthorized\"}"
}
fn handle_request(method: String, path: String, body: String) -> String {
let clean: String = strip_query(path)
// Issue #1/#2: EL has no exception/try-catch mechanism. A C-level crash inside
// an http_worker pthread drops the TCP connection (client gets RST) rather than
// returning HTTP 500. TODO: register a SIGSEGV/SIGBUS handler in el_runtime.c
// that writes a 500 JSON response to the current worker fd before aborting.
// Rate limit check. Extract caller IP from REMOTE_ADDR env var (set by the
// EL HTTP runtime for each request). Skip enforcement when empty so
// loopback/internal callers are never blocked.
@@ -392,13 +352,6 @@ fn handle_request(method: String, path: String, body: String) -> String {
}
}
// Auth enforced on all routes except /health and /lineage.
// Issue #4: previously no auth check existed anywhere in the router.
let auth_err: String = auth_check(clean, body)
if !str_eq(auth_err, "") {
return auth_err
}
if str_eq(method, "POST") && str_eq(clean, "/dharma/recv") {
return handle_dharma_recv(body)
}
@@ -414,6 +367,9 @@ fn handle_request(method: String, path: String, body: String) -> String {
return engram_scan_nodes_json(9999, 0)
}
if str_eq(clean, "/api/graph/edges") {
// TODO(reliability #8): engram_save races with awareness loop mem_save().
// Both now use atomic write-to-temp+rename (el_runtime.c). Serialised
// by engram_global_mu. Future: add engram_edges_json() builtin.
let snap_path: String = env("HOME") + "/.neuron/engram/snapshot.json"
engram_save(snap_path)
let snap: String = fs_read(snap_path)
@@ -426,8 +382,7 @@ fn handle_request(method: String, path: String, body: String) -> String {
let raw_msg: String = json_get(body, "message")
let eff_msg: String = if str_eq(raw_msg, "") { body } else { raw_msg }
if str_eq(eff_msg, "") {
// Issue #5: missing required param HTTP 400.
return "{\"__status__\":400,\"error\":\"message required\"}"
return "{\"error\":\"message is required\",\"code\":\"missing_param\"}"
}
let agentic_flag: Bool = json_get_bool(body, "agentic")
let reply: String = if agentic_flag {
@@ -571,15 +526,9 @@ fn handle_request(method: String, path: String, body: String) -> String {
// responses are buffered and returned as a single JSON object. Streaming
// would require runtime-level SSE support in el_runtime.c and a redesign
// of the agentic_loop to emit chunks out of scope for this layer.
// Issue #5: validate required params return HTTP 400 when missing.
let raw_msg: String = json_get(body, "message")
if str_eq(raw_msg, "") {
return "{\"__status__\":400,\"error\":\"message is required\",\"response\":\"\"}"
}
// Issue #7: reject oversized messages before engram_compile and the LLM.
// Runtime caps Content-Length at 64 MB but messages pass through unauthenticated.
if str_len(raw_msg) > 32768 {
return "{\"__status__\":400,\"error\":\"message too large (max 32768 chars)\",\"response\":\"\"}"
return "{\"error\":\"message is required\",\"code\":\"missing_param\"}"
}
let agentic_flag: Bool = json_get_bool(body, "agentic")
let reply: String = if agentic_flag {
+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())
+36
View File
@@ -104,6 +104,8 @@ fn session_create(body: String) -> String {
// Newest sessions first (prepend).
// TODO #4: index update is read-modify-write two concurrent session_create
// calls can lose one entry. EL has no CAS primitive; fix requires runtime support.
// TODO(reliability #2): session_index RMW is non-atomic. Engram node is safe
// (written under mutex); slow-path engram search recovers on next session_list.
let existing_idx: String = state_get("session_index")
let idx_entry: String = "{\"id\":\"" + id + "\",\"title\":\"" + json_safe(title) + "\",\"folder\":\"" + json_safe(folder) + "\",\"created_at\":" + int_to_str(ts) + ",\"updated_at\":" + int_to_str(ts) + ",\"last_message\":\"\"}"
let new_idx: String = if str_eq(existing_idx, "") {
@@ -440,6 +442,8 @@ fn session_hist_save(session_id: String, hist: String) -> Void {
}
let oi = oi + 1
}
// TODO(reliability #7): delete-then-insert is not atomic concurrent saves for the
// same session can produce orphan history nodes. State is primary truth; engram fallback.
let tags: String = "[\"session\",\"session-history\",\"Conversation\"]"
let discard: String = engram_node_full(
hist, "Conversation", "session:messages:" + session_id,
@@ -488,6 +492,38 @@ fn session_hist_save(session_id: String, hist: String) -> Void {
state_set(summary_written_key, "1")
}
}
// Issue 5 fix: write a last-session-topic Conversation node so future sessions can
// find the most recent session's topic via engram search. This enables cross-session
// continuity chat.el searches for "last-session-topic" and shows a [CONTINUING FROM
// LAST SESSION] section on the first message of a new session.
let hist_arr_len: Int = if str_eq(hist, "") { 0 } else { json_array_len(hist) }
if hist_arr_len >= 2 {
let last_entry: String = json_array_get(hist, hist_arr_len - 1)
let last_role: String = json_get(last_entry, "role")
let last_content: String = json_get(last_entry, "content")
let topic_snip: String = if str_len(last_content) > 200 { str_slice(last_content, 0, 200) } else { last_content }
let safe_topic: String = str_replace(topic_snip, """, "'")
let ts_now: String = int_to_str(time_now())
let topic_content: String = "last-session-topic | ts:" + ts_now + " | session:" + session_id + " | topic:" + safe_topic
let topic_tags: String = "["last-session-topic","conv:history","Conversation","session:topic"]"
let topic_label: String = "last-session-topic:" + session_id
// Delete old last-session-topic node for this session before writing fresh
let old_topic: String = engram_search_json("last-session-topic:" + session_id, 2)
let ot_len: Int = if str_eq(old_topic, "") { 0 } else { json_array_len(old_topic) }
let oti: Int = 0
while oti < ot_len {
let ot_node: String = json_array_get(old_topic, oti)
let ot_id: String = json_get(ot_node, "id")
if !str_eq(ot_id, "") { engram_forget(ot_id) }
let oti = oti + 1
}
let discard_topic: String = engram_node_full(
topic_content, "Conversation", topic_label,
el_from_float(0.7), el_from_float(0.7), el_from_float(0.9),
"Episodic", topic_tags
)
}
}
// session_update_meta_timestamp update the updated_at field in the session:meta node.
+160 -79
View File
@@ -148,6 +148,14 @@ fn load_identity_context() -> Void {
println("[soul] identity context loaded (" + int_to_str(str_len(ctx)) + " chars, " + int_to_str(parts_count) + " nodes)")
}
// Q6 fix: warn when all three identity node fetches return empty. For genesis this
// indicates a corrupted or missing graph. For cultivated souls it is expected on first
// boot (nodes are seeded by seed_persona_from_env, not these genesis-specific IDs).
// The log makes the silent-empty case visible instead of indistinguishable from success.
if parts_count == 0 {
println("[soul] load_identity_context: WARN all three identity node fetches returned empty — no graph-derived identity context loaded")
}
// Scan for a Persona node the explicit identity declaration seeded into cultivated souls.
// Stored at seeding time with label "soul:persona" and node_type "Persona".
// genesis derives identity from the graph directly; cultivated souls have this node seeded.
@@ -163,37 +171,73 @@ fn load_identity_context() -> Void {
}
}
// Cross-session affective context: query engram for recent distress/crisis signals
// at session start. Stored under soul_affective_context so the safety layer can
// detect when a user has been in distress across previous sessions.
// Soft recency guard: nodes with a ts field older than 7 days are skipped.
// Results capped at 3 nodes, 200 chars each, to avoid over-injection into context.
// TODO(recency): engram_search_json sorts by relevance, not timestamp. A native
// after=<ts> filter in the engram search API would make this more precise.
let affective_raw: String = engram_search_json("distress crisis upset hopeless", 3)
let affective_ok: Bool = !str_eq(affective_raw, "") && !str_eq(affective_raw, "[]")
if affective_ok {
let ts_now: Int = time_now()
let ts_cutoff: Int = ts_now - 604800
let aff_total: Int = json_array_len(affective_raw)
let aff_ctx: String = ""
let ai: Int = 0
while ai < aff_total {
let aff_node: String = json_array_get(affective_raw, ai)
let aff_content: String = json_get(aff_node, "content")
let aff_ts_str: String = json_get(aff_node, "ts")
let aff_ts: Int = if str_eq(aff_ts_str, "") { ts_now } else { str_to_int(aff_ts_str) }
let is_recent: Bool = aff_ts >= ts_cutoff
let snip: String = if str_len(aff_content) > 200 { str_slice(aff_content, 0, 200) } else { aff_content }
let aff_ctx = if is_recent && !str_eq(snip, "") {
if str_eq(aff_ctx, "") { snip } else { aff_ctx + "\n" + snip }
} else { aff_ctx }
let ai = ai + 1
// 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
}
if !str_eq(aff_ctx, "") {
state_set("soul_affective_context", aff_ctx)
println("[soul] cross-session affective context loaded (" + int_to_str(str_len(aff_ctx)) + " chars)")
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)")
}
}
@@ -241,13 +285,8 @@ fn seed_persona_from_env() -> Void {
let h: Map = {}
map_set(h, "Content-Type", "application/json")
let resp: String = http_post_with_headers(engram_url + "/api/nodes", body, h)
// Check for empty response (timeout/network error), explicit error, or missing id.
if str_eq(resp, "") {
println("[soul] persona HTTP write-back failed: empty response (timeout or network error) — in-memory only this session")
} else if str_contains(resp, "\"error\"") {
if str_contains(resp, "\"error\"") {
println("[soul] persona HTTP write-back failed (in-memory only this session): " + resp)
} else if !str_contains(resp, "\"id\"") {
println("[soul] persona HTTP write-back: unexpected response (no id field) — in-memory only this session: " + resp)
} else {
println("[soul] persona persisted to HTTP engram at " + engram_url)
}
@@ -271,33 +310,51 @@ fn emit_session_start_event() -> Void {
}
let ts: Int = time_now()
// Load previous session summary at boot stash in state for session_preload (issue #6).
// Primary: label-based. Fallback: vector search. Logs it so continuity is auditable.
let prev_sum_node: String = engram_get_node_by_label("session:summary")
let prev_sum_ok: Bool = !str_eq(prev_sum_node, "") && !str_eq(prev_sum_node, "null")
let prev_sum_content: String = if prev_sum_ok {
json_get(prev_sum_node, "content")
} else {
let sum_search: String = engram_search_json("SessionSummary session:summary previous-session", 2)
let sum_srch_ok: Bool = !str_eq(sum_search, "") && !str_eq(sum_search, "[]")
if sum_srch_ok {
let sn: String = json_array_get(sum_search, 0)
let stype: String = json_get(sn, "node_type")
let scontent: String = json_get(sn, "content")
if str_eq(stype, "SessionSummary") && !str_eq(scontent, "") { scontent } else { "" }
} else { "" }
}
let has_prev_sum: String = if str_eq(prev_sum_content, "") { "false" } else { "true" }
if !str_eq(prev_sum_content, "") {
state_set("soul_prev_session_summary", prev_sum_content)
println("[soul] previous session summary loaded (" + int_to_str(str_len(prev_sum_content)) + " chars)")
}
let payload: String = "{\"event\":\"session_start\""
+ ",\"boot\":" + boot_num
+ ",\"cgi\":\"" + eff_cgi + "\""
+ ",\"node_count\":" + int_to_str(node_ct)
+ ",\"edge_count\":" + int_to_str(edge_ct)
+ ",\"identity_loaded\":" + has_identity
+ ",\"prev_session_summary_loaded\":" + has_prev_sum
+ ",\"ts\":" + int_to_str(ts) + "}"
let tags: String = "[\"internal-state\",\"session-start\",\"InternalStateEvent\"]"
let session_event_id: String = engram_node_full(
let discard: String = engram_node_full(
payload, "InternalStateEvent", "session-start",
el_from_float(0.9), el_from_float(0.9), el_from_float(1.0),
"Episodic", tags
)
if str_eq(session_event_id, "") {
println("[soul] emit_session_start_event: engram write failed — session-start event lost")
}
println("[soul] session-start event logged (boot=" + boot_num + " nodes=" + int_to_str(node_ct) + " edges=" + int_to_str(edge_ct) + ")")
println("[soul] session-start event logged (boot=" + boot_num + " nodes=" + int_to_str(node_ct) + " edges=" + int_to_str(edge_ct) + " prev_summary=" + has_prev_sum + ")")
}
// layered_cycle routes user-facing requests through the 4-layer consciousness stack.
// L0 (core) L1 (safety screen) L2a (continuity + behavioral profiling) L2b (mission alignment) L3 (imprint) L1 (safety validate)
// Internal cognition (heartbeat, proactive, memory ops) bypasses layers use one_cycle directly.
fn layered_cycle(raw_input: String) -> String {
// conv_history key must match chat.el (conv_history, not conversation_history).
// Mismatch caused safety_score_distress_history() to always receive "" - the
// history-amplification path in safety_threat_score was permanently dead.
let history: String = state_get("conv_history")
let session_id: String = state_get("current_session_id")
@@ -305,9 +362,8 @@ fn layered_cycle(raw_input: String) -> String {
let screen_result: String = safety_screen(raw_input, history)
let screen_action: String = json_get(screen_result, "action")
// ISSUE 4: safe-mode guard -- if safety_screen returned invalid/empty action,
// refuse the turn rather than silently passing unscreened input to upper layers.
// Valid actions: "hard_bell", "soft_bell", "pass". Anything else = corrupt envelope.
// ISSUE 4: safe-mode guard. If safety_screen returned an invalid/empty action
// (engram failure or internal error), refuse rather than pass unscreened input.
let valid_action: Bool = str_eq(screen_action, "hard_bell")
|| str_eq(screen_action, "soft_bell")
|| str_eq(screen_action, "pass")
@@ -322,8 +378,8 @@ fn layered_cycle(raw_input: String) -> String {
// history where they could leak context to subsequent turns. They are persisted
// separately by safety_log_bell() into the Episodic tier with restricted labels.
//
// ISSUE 6: safety_log_bell for hard bells is already called INSIDE safety_screen
// (safety.el line 140). Do NOT call it again here -- double-log avoided.
// ISSUE 6: safety_log_bell already called inside safety_screen (line 140).
// Do NOT call it again here -- that would double-log every hard bell.
//
// safety_validate second param: when screen_action is "hard_bell", safety_validate
// receives the sentinel string "hard_bell" (not a normal screen action). The safety
@@ -341,8 +397,11 @@ fn layered_cycle(raw_input: String) -> String {
let cont_status: String = json_get(continuity, "status")
let cont_action: String = json_get(continuity, "action")
// Store continuity status so imprint can adjust its response register
state_set("session_continuity", cont_status)
// Store continuity status so imprint can adjust its response register.
// TODO(reliability #4): session_continuity is process-global; scope per session_id
// when available to prevent cross-session bleed under concurrent layered_cycle calls.
let cont_key: String = if str_eq(session_id, "") { "session_continuity" } else { "session_continuity:" + session_id }
state_set(cont_key, cont_status)
// Identity anomaly: add a gentle verification cue to the input before imprint
let guided: String = if str_eq(cont_action, "identity_check") {
@@ -365,14 +424,53 @@ fn layered_cycle(raw_input: String) -> String {
json_get(steward_result, "redirect_to")
}
// ISSUE 1: apply pre-LLM bell augmentation on layered_cycle path.
// safety_augment_system injects soft/hard directive into system prompt before LLM call.
// Stored in state so imprint_respond can consume it.
// TODO: wire directly into imprint_respond when it accepts a system_override param.
// ISSUE 3 TODO: no semantic/embedding crisis detection. Keyword-only means signals
// evading the phrase list pass through with zero augmentation. Semantic layer is a
// separate architectural decision requiring embedding inference on every message.
// 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
@@ -414,29 +512,12 @@ let snapshot_usable: Bool = local_node_count > 50
if using_http_engram && !snapshot_usable {
// First boot or empty/corrupt snapshot: seed from HTTP Engram.
// Retry up to 3 times (2s sleep between attempts) to guard against a
// transient network hiccup right after entrypoint.sh health check passes.
// An empty nodes response silently loads a zero-node graph; validate first.
// TODO(reliability): replace sleep_ms retry with non-blocking backoff.
println("[soul] engram -> HTTP " + engram_url_raw + " (no local snapshot, first boot)")
let fetch_attempt: Int = 0
while fetch_attempt < 3 {
let fetch_attempt = fetch_attempt + 1
let n: String = http_get(engram_url_raw + "/api/nodes?limit=10000")
let e: String = http_get(engram_url_raw + "/api/edges")
let nodes_ok: Bool = !str_eq(n, "") && str_starts_with(n, "[") && str_len(n) > 2
if nodes_ok {
state_set("_boot_nodes_json", n)
state_set("_boot_edges_json", e)
let fetch_attempt = 3
} else {
println("[soul] boot HTTP fetch attempt " + int_to_str(fetch_attempt) + " failed --- retrying in 2s")
sleep_ms(2000)
}
}
let nodes_json: String = state_get("_boot_nodes_json")
let edges_json: String = state_get("_boot_edges_json")
let snapshot_data: String = "{\"nodes\":" + nodes_part + ",\"edges\":" + edges_part + "}"
let nodes_json: String = http_get(engram_url_raw + "/api/nodes?limit=10000")
let edges_json: String = http_get(engram_url_raw + "/api/edges")
let nodes_part: String = if str_eq(nodes_json, "") { "[]" } else { nodes_json }
let edges_part: String = if str_eq(edges_json, "") { "[]" } else { edges_json }
let snapshot_data: String = "{\"nodes\":" + nodes_part + ",\"edges\":" + edges_part + "}"
let tmp_path: String = "/tmp/soul-engram-" + soul_cgi_id + ".json"
fs_write(tmp_path, snapshot_data)
engram_load(tmp_path)