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Author SHA1 Message Date
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 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 aef687b57c fix(reliability): state management
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2026-06-22 12:54:32 -05:00
will.anderson 6edf9937dd fix(reliability): LLM retry
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2026-06-22 12:37:29 -05:00
will.anderson e447a87a00 fix(reliability): route error recovery 2026-06-22 12:37:21 -05:00
will.anderson 575ff1329a fix(reliability): engram connection 2026-06-22 12:34:04 -05:00
will.anderson db33b0cb91 fix(reliability): engram write 2026-06-22 12:32:59 -05:00
will.anderson f35569d4bb fix(reliability): cross-session affective state 2026-06-22 12:31:09 -05:00
will.anderson 94b71b6e6b fix(reliability): conversation history 2026-06-22 12:29:23 -05:00
will.anderson 392d2416ec fix(reliability): replace undefined session_exists with session_get check
Neuron Soul CI / build (pull_request) Failing after 13m25s
2026-06-22 12:21:31 -05:00
will.anderson e6da638536 fix(reliability): state-management — document and partially fix concurrent state races
Neuron Soul CI / build (pull_request) Has been cancelled
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
will.anderson 2865d6ad26 fix(reliability): route-error-recovery
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- Issue #3: err_404/err_405 now emit HTTP 404/405 via __status__ envelope instead of HTTP 200
- Issue #4: add auth_check() function to handle_request; enforces NEURON_TOKEN on all routes except /health and /lineage
- Issue #5: missing required params now return HTTP 400 (__status__ envelope) in /api/chat (GET+POST), /imprint/contextual, /imprint/user, and handle_chat
- Issue #6: LLM unavailable in handle_chat now returns HTTP 503 instead of HTTP 200
- Issue #7: add 32 KB message size guard on POST /api/chat before engram_compile and LLM
- Issue #8: add TODO comment to route_health documenting the live-engram-query problem and the /health/deep split plan
- Issue #9: add comment to hist_trim documenting fragile str_index_of parser and silent data corruption risk
- Issue #10: add TODO comment in handle_request documenting missing per-IP rate limiting
- Issue #11: fix connectd_post temp file collision — add monotonic sequence counter so concurrent requests get unique paths
- Issue #12: fix call_mcp_bridge fixed temp file race — add monotonic sequence counter for unique paths under concurrent load
- Issues #1/#2: add TODO comment in handle_request documenting EL no-exception limitation and SIGSEGV handler gap
2026-06-22 12:00:06 -05:00
will.anderson 47d0e6f985 fix(reliability): llm-retry — empty response detection, configurable max_tokens, connector timeout
Neuron Soul CI / build (pull_request) Failing after 11m16s
Issue #5: detect empty string from llm_extract_text() as an error in handle_chat,
handle_chat_as_soul, and handle_dharma_room_turn. The C runtime silently returns ""
when the LLM response content array is missing or all blocks fail to parse; without
this guard the empty string passes through to callers as a silent empty reply.

Issue #9: make agentic_loop max_tokens configurable via NEURON_LLM_MAX_TOKENS env
var (default 4096). The hardcoded value is marginal for long tool chains (8 iterations
x 4096 tokens); operators can now set 8192+ for complex multi-step tasks without
rebuilding. Non-agentic path (llm_call_system) still uses the C runtime hardcode —
that fix lives in el_runtime.c (see TODO block added in this commit).

Issue #10: increase connector_tools_json and tool_auto_approved curl --max-time from
2s to 5s to reduce false-empty tool lists when neuron-connectd is under transient
load. Graceful degradation to [] on bridge down is unchanged.

Issues #1/#2/#3/#4/#6/#8: documented as TODO comments in chat.el. These require
targeted C runtime changes in el_runtime.c (llm_provider_request retry loop,
EL_LLM_TIMEOUT_MS separation, HTTP 429 backoff, 5xx retry, EL_HTTP_MAX_RESPONSE_BYTES
cap). Architectural decisions recorded so they are traceable to root causes.
2026-06-22 11:59:43 -05:00
will.anderson d008649c3e fix(reliability): engram-connection
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- entrypoint.sh: extend engram health-check timeout 30->60s; set
  EL_HTTP_TIMEOUT_MS=10000 and EL_HTTP_CONNECT_TIMEOUT_MS=3000 to bound
  awareness loop blocking window to 10s/call (down from 60s default)
- soul.el: 3-attempt retry loop for boot-time /api/nodes+/api/edges fetch;
  validate non-empty JSON array before loading to prevent silent zero-node
  identity graph from transient post-healthcheck network hiccup
- awareness.el: soft circuit-breaker in ise_post (opens after 3 failures,
  30s backoff, half-open probe); /api/sync refresh skips HTTP call when
  breaker is open; error-JSON detection on sync response

TODOs: full async dispatch, connection pooling (require EL futures/persistent curl)
2026-06-22 11:57:20 -05:00
will.anderson aa70c5dde6 fix(reliability): safety-resilience — bell augmentation, safe mode, dedup logging, tab escaping, handle_chat coverage 2026-06-22 11:54:40 -05:00
will.anderson deddb9a18e fix(reliability): safety-resilience — bell augmentation, safe mode, dedup logging, tab escaping, handle_chat coverage 2026-06-22 11:53:07 -05:00
will.anderson 494d973a3b fix(reliability): engram-write — guard all fire-and-forget writes
Neuron Soul CI / build (pull_request) Has been cancelled
Every engram_node_full call that dropped its return value now binds it
and emits a println on empty string. engram_save calls in consolidate,
heartbeat, and dharma-room-turn are checked for failure. The two API
handlers (log_state_event, tune_config) that skipped api_persisted()
now match the read-back-after-write contract used everywhere else in
neuron-api.el.

Files changed:
- chat.el: conv_history_persist, handle_dharma_room_turn, auto_persist
- soul.el: emit_session_start_event, seed_persona_from_env HTTP check
- memory.el: mem_save, mem_boot_count_inc
- neuron-api.el: handle_api_log_state_event, handle_api_tune_config,
  handle_api_consolidate (engram_save + session summary write)
- awareness.el: ise_post local-engram fallback path

TODO comments added for non-atomic patterns (issues #12, #13) and
the missing circuit breaker (#14) — these require new primitives.
2026-06-22 11:48:59 -05:00
will.anderson 34551695a1 fix(reliability): cross-session-affective
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- Fix state key mismatch: soul.el layered_cycle now reads conv_history
  (not conversation_history), unblocking the safety_score_distress_history
  history-amplification path in safety_threat_score
- Add safety_augment_system call on the main handle_chat path so the
  phrase-list bell detector fires on all chat turns, not just dharma rooms
- Add cross-session affective engram query in load_identity_context() at
  boot; stores distress/crisis signals from prior sessions under
  soul_affective_context with a 7-day soft recency filter
2026-06-22 11:48:30 -05:00
will.anderson 615f0cee08 fix(reliability): conv-history — asymmetric load, silent failures, broken trim, agentic gap
Neuron Soul CI / build (pull_request) Has been cancelled
Issues addressed:
- #1 ASYMMETRIC PERSIST/LOAD: conv_history_load() now tries engram_get_node_by_label()
  first (symmetric with the label-based write), falling back to vector search only when
  label lookup returns nothing. Immune to cold/corrupt vector index.
- #2 SILENT LOAD FAILURE: all failure paths in conv_history_load() and conv_history_persist()
  now emit a println log line rather than silently returning "" or dropping writes.
- #3 NO RECOVERY PATH: documented as TODO with explanation of why a full recovery path
  (retry, ID fallback, orphan cleanup) is too invasive for a targeted fix here.
- #4 OVERWRITE WITHOUT DELETE: documented with TODO to replace engram_node_full with
  explicit delete-then-create once engram exposes a label-scoped delete API.
- #5/#10 BROKEN TRIM / OFF-BY-ONE: hist_trim() rewritten to use json_array_len /
  json_array_get (structural JSON ops) instead of raw str_index_of scanning for
  '{"role":' markers. Immune to marker strings appearing inside message content.
  Minimum retained count guard added: never trims below 2 entries.
- #6 PARTIAL-WRITE GUARD: conv_history_persist() refuses to write a blob that doesn't
  contain both '[' and ']'. conv_history_load() requires both before accepting content.
- #7 DUAL STORAGE: documented with a comment at the persist call site.
- #8 NO MAX SIZE GUARD: documented as TODO with rationale for why a byte-length cap
  requires a more invasive change (entry truncation or summarisation).
- #9 AGENTIC HISTORY NOT PERSISTED: handle_chat_agentic() now calls conv_history_persist()
  for the default global session (hist_key == "conv_history") after updating state,
  matching the non-agentic path's durability. Named sessions remain in-process only.
2026-06-22 11:46:00 -05:00
10 changed files with 457 additions and 113 deletions
+2
View File
@@ -678,6 +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)
+395 -96
View File
@@ -73,8 +73,9 @@ fn engram_compile_ranked(nodes_json: String, max_nodes: Int) -> String {
while ci < total {
let node: String = json_array_get(nodes_json, ci)
let score: Int = engram_score_node(node)
// Only include reasonably relevant nodes (threshold=25)
let above_thresh: Bool = score >= 25
// Threshold lowered from 25 to 15: includes moderately-relevant older nodes.
// A 3-week-old node with salience 0.6 and importance 0.6 scores ~18 was dropped, now included.
let above_thresh: Bool = score >= 15
// Check this index wasn't already selected (sentinel: look for idx marker)
let idx_marker: String = "\"_sel_" + int_to_str(ci) + "\""
let already_picked: Bool = str_contains(selected, idx_marker)
@@ -113,59 +114,289 @@ fn engram_compile_ranked(nodes_json: String, max_nodes: Int) -> String {
let c7: String = str_replace(c6, "\"_sel_7\":1,", "")
let c8: String = str_replace(c7, "\"_sel_8\":1,", "")
let c9: String = str_replace(c8, "\"_sel_9\":1,", "")
return c9
let c10: String = str_replace(c9, "\"_sel_10\":1,", "")
let c11: String = str_replace(c10, "\"_sel_11\":1,", "")
let c12: String = str_replace(c11, "\"_sel_12\":1,", "")
let c13: String = str_replace(c12, "\"_sel_13\":1,", "")
let c14: String = str_replace(c13, "\"_sel_14\":1,", "")
return c14
}
// engram_split_topics split message into sub-queries on explicit conjunctions.
// "health goals AND startup progress" becomes two independent searches.
fn engram_split_topics(message: String) -> String {
let sep: String = if str_contains(message, " AND ") { " AND " } else {
if str_contains(message, " and ") { " and " } else {
if str_contains(message, " also ") { " also " } else {
if str_contains(message, " plus ") { " plus " } else { "" }
}
}
}
if str_eq(sep, "") { return message }
let sep_pos: Int = str_index_of(message, sep)
let part1: String = str_slice(message, 0, sep_pos)
let part2: String = str_slice(message, sep_pos + str_len(sep), str_len(message))
let part2_topics: String = engram_split_topics(part2)
if str_eq(part1, "") { return part2_topics }
return part1 + "\n" + part2_topics
}
// engram_extract_entities extract probable named entities (capital-first, 3+ chars,
// not stop-words) from a message. Returns newline-separated list.
fn engram_extract_entities(message: String) -> String {
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|"
let capitals: String = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
let entities: String = ""
let entity_count: Int = 0
let msg_len: Int = str_len(message)
let pos: Int = 0
while pos < msg_len && entity_count < 10 {
let wend: Int = pos
let scanning: Bool = true
while scanning && wend < msg_len {
let wch: String = str_slice(message, wend, wend + 1)
let is_sep: Bool = str_eq(wch, " ") || str_eq(wch, "\n") || str_eq(wch, "\t")
|| str_eq(wch, ",") || str_eq(wch, ".") || str_eq(wch, "?")
|| str_eq(wch, "!") || str_eq(wch, ":") || str_eq(wch, ";")
|| str_eq(wch, "(") || str_eq(wch, ")") || str_eq(wch, "\'") || str_eq(wch, "-")
let scanning = if is_sep { false } else { scanning }
let wend = if !is_sep { wend + 1 } else { wend }
}
let word: String = str_slice(message, pos, wend)
let word_len: Int = str_len(word)
let first_ch: String = if word_len >= 3 { str_slice(word, 0, 1) } else { "" }
let is_capital: Bool = word_len >= 3 && str_contains(capitals, first_ch)
let is_stop: Bool = str_contains(stops, "|" + word + "|")
let already_have: Bool = str_contains(entities, word)
let should_add: Bool = is_capital && !is_stop && !already_have && word_len >= 3
let entities = if should_add {
let entity_count = entity_count + 1
if str_eq(entities, "") { word } else { entities + "\n" + word }
} else { entities }
let pos = if wend > pos { wend + 1 } else { pos + 1 }
}
return entities
}
// engram_detect_recall_intent true when message explicitly requests memory recall.
fn engram_detect_recall_intent(message: String) -> Bool {
return str_contains(message, "remind me")
|| str_contains(message, "do you remember")
|| str_contains(message, "what do you know")
|| str_contains(message, "what happened")
|| str_contains(message, "tell me about")
|| str_contains(message, "what was")
|| str_contains(message, "what were")
|| str_contains(message, "how is it going")
|| str_contains(message, "how are things")
|| str_contains(message, "catch me up")
|| str_contains(message, "fill me in")
|| str_contains(message, "what's the status")
|| str_contains(message, "whats the status")
|| str_contains(message, "any updates")
|| str_contains(message, "recap")
|| str_contains(message, "look up")
|| str_contains(message, "check on")
|| str_contains(message, "how did")
|| str_contains(message, "what happened with")
}
// engram_is_continuation semantic continuation detection replacing the brittle 50-char
// threshold. Returns true when message starts with a pronoun, continuation opener, or is
// < 80 chars (raised from 50 to catch "Can you remind me what Prism's architecture
// looks like?" at 57 chars which is clearly a continuation in an active thread).
fn engram_is_continuation(message: String, hist_len: Int) -> Bool {
if hist_len <= 0 { return false }
let has_pronoun: Bool = str_starts_with(message, "It ")
|| str_starts_with(message, "it ")
|| str_starts_with(message, "That ") || str_starts_with(message, "that ")
|| str_starts_with(message, "This ") || str_starts_with(message, "this ")
|| str_starts_with(message, "They ") || str_starts_with(message, "they ")
|| str_starts_with(message, "He ") || str_starts_with(message, "he ")
|| str_starts_with(message, "She ") || str_starts_with(message, "she ")
|| str_starts_with(message, "We ") || str_starts_with(message, "we ")
if has_pronoun { return true }
let is_cont_opener: Bool = str_starts_with(message, "Go on")
|| str_starts_with(message, "go on")
|| str_starts_with(message, "Continue") || str_starts_with(message, "continue")
|| str_starts_with(message, "Yes") || str_starts_with(message, "yes")
|| str_starts_with(message, "No,") || str_starts_with(message, "no,")
|| str_starts_with(message, "Ok") || str_starts_with(message, "ok")
|| str_starts_with(message, "And ") || str_starts_with(message, "and ")
|| str_starts_with(message, "But ") || str_starts_with(message, "but ")
|| str_starts_with(message, "What about") || str_starts_with(message, "what about")
|| str_starts_with(message, "Why ") || str_starts_with(message, "why ")
|| str_starts_with(message, "How ") || str_starts_with(message, "how ")
|| str_starts_with(message, "When ") || str_starts_with(message, "when ")
if is_cont_opener { return true }
if str_len(message) < 80 { return true }
return false
}
// engram_compile_multi run activation + search for one topic with expanded pools.
// Activation depth 8 (was 5). Search 30 candidates ranked to 12 (was 20/8).
// Per-topic result pool: up to 20 nodes (was 13).
fn engram_compile_multi(topic: String) -> String {
let activate_json: String = engram_activate_json(topic, 8)
let search_json: String = engram_search_json(topic, 30)
let act_ok: Bool = !str_eq(activate_json, "") && !str_eq(activate_json, "[]")
let srch_ok: Bool = !str_eq(search_json, "") && !str_eq(search_json, "[]")
let act_nodes: String = if act_ok { activate_json } else { "" }
let srch_nodes: String = if srch_ok { engram_compile_ranked(search_json, 12) } else { "" }
if !str_eq(act_nodes, "") && !str_eq(srch_nodes, "") {
let act_inner: String = str_slice(act_nodes, 1, str_len(act_nodes) - 1)
let srch_inner: String = str_slice(srch_nodes, 1, str_len(srch_nodes) - 1)
return engram_dedup_nodes("[" + act_inner + "," + srch_inner + "]")
}
if !str_eq(act_nodes, "") { return act_nodes }
if !str_eq(srch_nodes, "") { return srch_nodes }
return ""
}
// engram_nodes_merge merge two node arrays, deduplicating by node id.
fn engram_nodes_merge(a: String, b: String) -> String {
let ok_a: Bool = !str_eq(a, "") && !str_eq(a, "[]")
let ok_b: Bool = !str_eq(b, "") && !str_eq(b, "[]")
if !ok_a && !ok_b { return "" }
if !ok_a { return b }
if !ok_b { return a }
let ai: String = str_slice(a, 1, str_len(a) - 1)
let bi: String = str_slice(b, 1, str_len(b) - 1)
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 {
let activate_json: String = engram_activate_json(intent, 5)
// Fetch more search results than we'll use so ranking has a real pool to pick from.
let search_json: String = engram_search_json(intent, 20)
// Issue 1: decompose multi-topic messages into sub-queries.
let topics: String = engram_split_topics(intent)
let has_multi_topic: Bool = str_contains(topics, "\n")
let act_ok: Bool = !str_eq(activate_json, "") && !str_eq(activate_json, "[]")
let srch_ok: Bool = !str_eq(search_json, "") && !str_eq(search_json, "[]")
// Issue 4: detect explicit recall intent and run boosted search.
let is_recall_intent: Bool = engram_detect_recall_intent(intent)
// Activation nodes (spreading activation) are already high-signal keep all 5.
let act_part: String = if act_ok { activate_json } else { "" }
// Issue 2: extract named entities for dedicated per-entity searches.
let entity_list: String = engram_extract_entities(intent)
let has_entities: Bool = !str_eq(entity_list, "")
// Rank search results and keep only the top 8 (was: flat 15 unranked).
// This cuts context noise roughly in half while preserving the best-scoring nodes.
let srch_ranked: String = if srch_ok { engram_compile_ranked(search_json, 8) } else { "" }
let srch_part: String = srch_ranked
// Primary topic search (first or only topic).
let topic0: String = if has_multi_topic {
let nl0: Int = str_index_of(topics, "\n")
str_slice(topics, 0, nl0)
} else { topics }
let nodes0: String = engram_compile_multi(topic0)
// Fallback: when vector search returns nothing (no embeddings), fetch pinned
// high-salience nodes by their known IDs. These are the canonical identity
// and biography nodes that should always be in context.
// engram_get_node_json(id) returns a single node as JSON or "" if missing.
let scan_part: String = if !act_ok && !srch_ok {
let family_node: String = engram_get_node_json("knw-35940684-abc4-42f0-b942-818f66b1f69a")
let origin_node: String = engram_get_node_json("knw-729fc901-8335-44c4-9f3a-b150b4aa0915")
let fam_ok: Bool = !str_eq(family_node, "") && !str_eq(family_node, "null")
let orig_ok: Bool = !str_eq(origin_node, "") && !str_eq(origin_node, "null")
let fam_str: String = if fam_ok { family_node } else { "" }
let orig_str: String = if orig_ok { origin_node } else { "" }
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
} else { "" }
let work_bullets: String = if work_ok {
let wn: Int = json_array_len(work_nodes)
let wbullets: String = ""
let wbullets = if wn > 0 {
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 wsnip0: String = if str_len(wc0) > 120 { str_slice(wc0, 0, 120) } else { wc0 }
if str_eq(wsnip0, "") { wbullets } else { "- " + wsnip0 }
} else { wbullets }
let wbullets = if wn > 1 {
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 }
} 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 }
wb
} 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 }
+8 -4
View File
@@ -24,19 +24,23 @@ ENGRAM_DATA_DIR="$ENGRAM_DATA_DIR" \
ENGRAM_PID=$!
# Wait for engram to become healthy (up to 30s)
# Wait for engram to become healthy (up to 60s; GKE Autopilot cold starts can be slow)
echo "[entrypoint] waiting for engram..."
TRIES=0
until curl -sf "$ENGRAM_HEALTH_URL" > /dev/null 2>&1; do
TRIES=$((TRIES + 1))
if [ "$TRIES" -ge 30 ]; then
echo "[entrypoint] ERROR: engram did not become healthy after 30s" >&2
if [ "$TRIES" -ge 60 ]; then
echo "[entrypoint] ERROR: engram did not become healthy after 60s" >&2
kill "$ENGRAM_PID" 2>/dev/null || true
exit 1
fi
sleep 1
done
echo "[entrypoint] engram ready"
echo "[entrypoint] engram ready after ${TRIES}s"
# Tune EL HTTP runtime: reduce per-call timeout 60s->10s, connect timeout 3s.
export EL_HTTP_TIMEOUT_MS="${EL_HTTP_TIMEOUT_MS:-10000}"
export EL_HTTP_CONNECT_TIMEOUT_MS="${EL_HTTP_CONNECT_TIMEOUT_MS:-3000}"
# Start soul — it takes over as PID 1's foreground process.
# SOUL_ENGRAM_PATH must NOT be set; ENGRAM_URL triggers HTTP mode.
+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 }
+8 -2
View File
@@ -46,7 +46,10 @@ fn mem_consolidate() -> String {
}
fn mem_save(path: String) -> Void {
engram_save(path)
let save_result: String = engram_save(path)
if str_eq(save_result, "") {
println("[memory] mem_save: engram_save failed for " + path + " — snapshot may be incomplete")
}
}
fn mem_load(path: String) -> Void {
@@ -76,11 +79,14 @@ fn mem_boot_count_inc() -> Int {
let next: Int = current + 1
let content: String = "soul:boot_count:" + int_to_str(next)
let tags: String = "[\"soul-meta\",\"boot-counter\"]"
let discard: String = engram_node_full(
let boot_node_id: String = engram_node_full(
content, "Memory", "soul:boot_count",
el_from_float(0.9), el_from_float(0.9), el_from_float(1.0),
"Canonical", tags
)
if str_eq(boot_node_id, "") {
println("[memory] mem_boot_count_inc: engram write failed — boot counter node lost (count=" + int_to_str(next) + ")")
}
return next
}
+10 -2
View File
@@ -400,6 +400,7 @@ fn handle_api_log_state_event(body: String) -> String {
let id: String = engram_node_full(parts, "InternalStateEvent", "state-event:manual",
el_from_float(0.85), el_from_float(0.85), el_from_float(0.9),
"Episodic", tags)
if !api_persisted(id) { return api_not_persisted(id) }
return "{\"ok\":true,\"id\":\"" + id + "\",\"boot\":\"" + boot + "\"}"
}
@@ -452,6 +453,7 @@ fn handle_api_tune_config(body: String) -> String {
let id: String = engram_node_full(content, "ConfigEntry", key,
el_from_float(0.85), el_from_float(0.85), el_from_float(0.9),
"Canonical", tags)
if !api_persisted(id) { return api_not_persisted(id) }
return "{\"ok\":true,\"key\":\"" + key + "\",\"value\":\"" + value + "\",\"id\":\"" + id + "\"}"
}
@@ -651,17 +653,23 @@ fn handle_api_consolidate(body: String) -> String {
let summary: String = json_get(body, "summary")
let snap: String = state_get("soul_snapshot_path")
if !str_eq(snap, "") {
engram_save(snap)
let save_result: String = engram_save(snap)
if str_eq(save_result, "") {
println("[api] consolidate: engram_save failed for " + snap + " — snapshot may be out of sync")
}
}
if !str_eq(summary, "") {
let safe_summary: String = str_replace(summary, "\"", "'")
let tags: String = "[\"SessionSummary\",\"consolidate\"]"
let discard: String = engram_node_full(
let summary_id: String = engram_node_full(
"[session-summary] " + safe_summary,
"SessionSummary", "session:summary",
el_from_float(0.7), el_from_float(0.7), el_from_float(0.9),
"Episodic", tags
)
if str_eq(summary_id, "") {
println("[api] consolidate: session summary engram write failed — summary node lost")
}
}
return "{\"ok\":true,\"snapshot\":\"" + snap + "\"}"
}
+3
View File
@@ -367,6 +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)
+18 -7
View File
@@ -144,7 +144,8 @@ fn safety_screen(input: String, history: String) -> String {
if score >= soft {
let summary: String = str_slice(input, 0, 80)
let discard: String = safety_log_bell("soft", "wellbeing check needed", summary)
// ISSUE 7: also escape tab chars to prevent JSON envelope corruption.
// ISSUE 7 fix: escape tab chars in addition to backslash/quote/newline/CR.
// A tab in user input corrupts the JSON envelope and causes json_get to misparse.
let e1: String = str_replace(input, "\\", "\\\\")
let e2: String = str_replace(e1, "\"", "\\\"")
let e3: String = str_replace(e2, "\n", "\\n")
@@ -153,7 +154,7 @@ fn safety_screen(input: String, history: String) -> String {
return "{\"action\":\"soft_bell\",\"reason\":\"wellbeing check needed\",\"content\":\"" + safe_input + "\"}"
}
// ISSUE 7: also escape tab chars (see soft_bell branch above).
// ISSUE 7 fix: escape tab chars (see soft_bell branch above for rationale).
let e1: String = str_replace(input, "\\", "\\\\")
let e2: String = str_replace(e1, "\"", "\\\"")
let e3: String = str_replace(e2, "\n", "\\n")
@@ -199,7 +200,10 @@ fn safety_validate(output: String, action: String) -> String {
fn safety_log_bell(level: String, reason: String, input_summary: String) -> String {
let content: String = "BELL:" + level + " | " + reason + " | summary:" + input_summary
let tags: String = "[\"safety\",\"bell\",\"bell:" + level + "\"]"
// ISSUE 2: fallback log when engram write fails silently.
// ISSUE 2 fix: if engram_node_full returns empty the write silently failed.
// Emit a fallback println so the bell event leaves at least a log trace even
// when engram is degraded. This does not replace engram persistence -- it is a
// last-resort audit trail when the primary write cannot be confirmed.
let node_id: String = engram_node_full(
content,
"BellEvent",
@@ -211,7 +215,7 @@ fn safety_log_bell(level: String, reason: String, input_summary: String) -> Stri
tags
)
if str_eq(node_id, "") {
println("[safety] WARN: bell engram write failed -- " + content)
println("[safety] WARN: bell event engram write failed -- fallback log: " + content)
}
return ""
}
@@ -244,9 +248,16 @@ fn safety_soft_phrases() -> String {
}
// ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call.
// json_array_len of malformed input returns 0, silently skipping all checks.
// Caching requires language-level static const arrays -- not in current EL.
// Migrate to const arrays when EL gains that feature.
// safety_any_match and safety_count_match loop over json_array_get on every invocation.
// A compiled/cached representation would reduce per-message overhead and also guard against
// malformed phrase JSON (json_array_len of malformed input returns 0, silently skipping all checks).
// Caching requires language-level static const arrays -- not available in current EL.
// When EL gains module-level const arrays, migrate phrase lists to that form.
//
// ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call to
// safety_any_match / safety_count_match. json_array_len of a malformed string
// returns 0, silently skipping all checks. Caching requires language-level static
// const arrays (not available in current EL). Migrate when EL gains that feature.
// Matching helpers (single loops only el escapes while-body mutation via
// top-level let rebinds; nested loops would not advance) ────────────────────
+4
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,
+5 -2
View File
@@ -296,8 +296,11 @@ 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") {