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Author SHA1 Message Date
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
7 changed files with 38 additions and 115 deletions
+2
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@@ -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)
+12 -63
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@@ -275,6 +275,8 @@ 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) }
@@ -374,19 +376,11 @@ fn handle_chat(body: String) -> String {
let req_model: String = json_get(body, "model")
let model: String = if str_eq(req_model, "") { chat_default_model() } else { req_model }
// ISSUE 9: add safety_augment_system to primary /api/chat path.
// handle_chat was the only LLM path missing bell directive injection.
let full_system = safety_augment_system(full_system, message)
let raw_response: String = llm_call_system(model, full_system, message)
// Issue #5: also catch empty string llm_extract_text() in el_runtime.c silently
// returns "" when the response content array is missing or all blocks fail to parse.
// Without this guard an empty reply passes through as a silent empty response.
let is_error: Bool = str_starts_with(raw_response, "{\"error\"")
|| str_starts_with(raw_response, "{\"type\":\"error\"")
|| str_contains(raw_response, "authentication_error")
|| str_eq(raw_response, "")
if is_error {
return "{\"error\":\"llm unavailable\",\"response\":\"\"}"
}
@@ -451,42 +445,6 @@ fn studio_tools_json() -> String {
"]"
}
// ---------------------------------------------------------------------------
// LLM reliability issues that require C runtime fixes (el_runtime.c).
// These cannot be addressed at the EL layer; they are documented here so the
// symptoms are traceable back to their root causes.
//
// Issue #1 (no retry on timeout/connection error):
// http_do() in el_runtime.c calls curl_easy_perform() once. On
// CURLE_OPERATION_TIMEDOUT / CURLE_COULDNT_CONNECT / CURLE_RECV_ERROR it
// returns http_error_json() with no retry. Fix: add a retry loop (max 3
// attempts, exponential back-off starting at 1s) inside llm_provider_request().
//
// Issue #2 (60s timeout applies to all HTTP calls including LLM):
// EL_HTTP_TIMEOUT_MS defaults to 60000ms for every http_do() call.
// Fix: introduce EL_LLM_TIMEOUT_MS (default 120000) used only by
// llm_provider_request(); leave EL_HTTP_TIMEOUT_MS (default 30000) for
// general service calls to avoid holding connections for 60s.
//
// Issue #3 (HTTP 429 causes silent provider failover, not backoff):
// llm_chain_call() advances to the next provider on any JSON-prefixed response
// including 429. Fix: parse HTTP status via curl_easy_getinfo; on 429 sleep
// Retry-After seconds (default 5s) then retry the same provider up to 3 times.
//
// Issue #4 (HTTP 500/502 crashes the request silently):
// Same path as #3 5xx responses cause immediate provider failover with no
// retry. Fix: retry with exponential back-off (1s, 2s, 4s) before advancing.
//
// Issue #6 (no secondary LLM fallback in production):
// Set NEURON_LLM_1_URL/KEY/FORMAT in ExternalSecret to a secondary provider
// (e.g. Gemini). No C code change required; llm_chain_call() already iterates.
//
// Issue #8 (LLM response size unbounded memory-only cap):
// HttpBuf grows via realloc() with no hard limit. Fix: add
// EL_HTTP_MAX_RESPONSE_BYTES (default 10MiB) cap in httpbuf_append() and
// return http_error_json("response too large") on overflow.
// ---------------------------------------------------------------------------
fn agentic_api_key() -> String {
let k1: String = env("ANTHROPIC_API_KEY")
if !str_eq(k1, "") {
@@ -538,7 +496,7 @@ fn agentic_tools_with_web() -> String {
// Short timeout + empty-array fallback: if the bridge is down, the soul runs
// exactly as before with only its built-in tools (graceful degradation).
fn connector_tools_json() -> String {
let raw: String = exec_capture("curl -s --max-time 5 http://127.0.0.1:7771/mcp/tools")
let raw: String = exec_capture("curl -s --max-time 2 http://127.0.0.1:7771/mcp/tools")
if str_eq(raw, "") {
return "[]"
}
@@ -583,7 +541,7 @@ fn tool_auto_approved(tool_name: String) -> Bool {
if !str_starts_with(tool_name, "mcp__") {
return false
}
let raw: String = exec_capture("curl -s --max-time 5 http://127.0.0.1:7771/mcp/auto-approved")
let raw: String = exec_capture("curl -s --max-time 2 http://127.0.0.1:7771/mcp/auto-approved")
if str_eq(raw, "") {
return false
}
@@ -846,15 +804,18 @@ 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 {
@@ -953,14 +914,6 @@ fn agentic_loop(session_id: String, model: String, safe_sys: String, tools_json:
let iteration: Int = 0
let keep_going: Bool = true
// Issue #9: agentic max_tokens configurable via NEURON_LLM_MAX_TOKENS env var.
// Default 4096 is marginal for long tool chains (8 iterations x 4096 tokens).
// Set to 8192+ for complex multi-step tasks.
// Note: llm_provider_request() in el_runtime.c also hardcodes 4096 for the
// llm_call_system() (non-agentic) path; that requires a C runtime change.
let max_tokens_env: String = env("NEURON_LLM_MAX_TOKENS")
let max_tokens_str: String = if str_eq(max_tokens_env, "") { "4096" } else { max_tokens_env }
// Suspension state captured at top level so it escapes the while body.
let pending: Bool = false
let pend_tool_id: String = ""
@@ -969,7 +922,7 @@ fn agentic_loop(session_id: String, model: String, safe_sys: String, tools_json:
while keep_going && iteration < 8 {
let req_body: String = "{\"model\":\"" + model + "\""
+ ",\"max_tokens\":" + max_tokens_str
+ ",\"max_tokens\":4096"
+ ",\"system\":\"" + safe_sys + "\""
+ ",\"tools\":" + tools_json
+ ",\"messages\":" + messages
@@ -1249,11 +1202,9 @@ fn handle_chat_as_soul(body: String) -> String {
let raw_response: String = llm_call_system(model, system_prompt, eff_message)
// Issue #5: empty string catch same rationale as handle_chat.
let is_error: Bool = str_starts_with(raw_response, "{\"error\"")
|| str_starts_with(raw_response, "{\"type\":\"error\"")
|| str_contains(raw_response, "authentication_error")
|| str_eq(raw_response, "")
if is_error {
return "{\"error\":\"llm unavailable\",\"response\":\"\",\"speaker_slug\":\"" + speaker + "\",\"model\":\"" + model + "\"}"
}
@@ -1300,11 +1251,9 @@ fn handle_dharma_room_turn(body: String) -> String {
let raw_response: String = llm_call_system(model, system_prompt, transcript)
// Issue #5: empty string catch same rationale as handle_chat.
let is_error: Bool = str_starts_with(raw_response, "{\"error\"")
|| str_starts_with(raw_response, "{\"type\":\"error\"")
|| str_contains(raw_response, "authentication_error")
|| str_eq(raw_response, "")
if is_error {
return "{\"error\":\"llm unavailable\",\"response\":\"\",\"cgi_id\":\"" + cgi_id + "\"}"
}
+4
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@@ -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 }
+3
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@@ -274,6 +274,9 @@ 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)
+3 -26
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@@ -144,22 +144,17 @@ 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 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")
let e4: String = str_replace(e3, "\r", "\\r")
let safe_input: String = str_replace(e4, "\t", "\\t")
let safe_input: String = str_replace(e3, "\r", "\\r")
return "{\"action\":\"soft_bell\",\"reason\":\"wellbeing check needed\",\"content\":\"" + safe_input + "\"}"
}
// 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")
let e4: String = str_replace(e3, "\r", "\\r")
let safe_input: String = str_replace(e4, "\t", "\\t")
let safe_input: String = str_replace(e3, "\r", "\\r")
return "{\"action\":\"pass\",\"content\":\"" + safe_input + "\"}"
}
@@ -200,11 +195,7 @@ 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 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(
let discard: String = engram_node_full(
content,
"BellEvent",
"bell:" + level,
@@ -214,9 +205,6 @@ fn safety_log_bell(level: String, reason: String, input_summary: String) -> Stri
"Episodic",
tags
)
if str_eq(node_id, "") {
println("[safety] WARN: bell event engram write failed -- fallback log: " + content)
}
return ""
}
@@ -247,17 +235,6 @@ 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\"]"
}
// ISSUE 5 TODO: phrase lists are rebuilt from JSON literals on every call.
// 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
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@@ -57,6 +57,8 @@ fn session_create(body: String) -> String {
state_set("session_node_" + id, node_id)
// Maintain a state-based index for fast listing within this daemon run.
// Newest sessions first (prepend).
// 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, "") {
@@ -347,6 +349,8 @@ fn session_hist_load(session_id: String) -> String {
}
// session_hist_save persist message history for a session to state and engram.
// 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.
fn session_hist_save(session_id: String, hist: String) -> Void {
state_set("session_hist_" + session_id, hist)
// Delete old history node and write fresh one
+10 -26
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@@ -5,9 +5,13 @@ import "stewardship.el"
import "imprint.el"
import "awareness.el"
import "chat.el"
import "safety.el"
import "studio.el"
import "elp-input.el"
import "routes.el"
import "safety.el"
import "stewardship.el"
import "imprint.el"
cgi "neuron-soul" {
dharma_id: "ntn-genesis@http://localhost:7770",
@@ -261,32 +265,19 @@ 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.
let valid_action: Bool = str_eq(screen_action, "hard_bell")
|| str_eq(screen_action, "soft_bell")
|| str_eq(screen_action, "pass")
if !valid_action {
println("[soul] layered_cycle: safety_screen invalid action -- safe mode refusal")
return safety_validate("", "hard_bell")
}
// Hard bell: bypass all upper layers, log and escalate.
// Intentionally does NOT update conversation_history or call auto_persist():
// hard bell events are security-sensitive and must not appear in engram conversation
// 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.
//
// 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
// layer contract requires it to return a fixed refusal regardless of the output arg.
// On the normal path, safety_validate receives the original screen_action ("pass")
// so it can apply action-specific post-output checks.
if str_eq(screen_action, "hard_bell") {
safety_log_bell("hard", json_get(screen_result, "reason"), str_slice(raw_input, 0, 80))
return safety_validate("", "hard_bell")
}
@@ -297,8 +288,11 @@ 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") {
@@ -321,16 +315,6 @@ 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.
let augmented_addendum: String = safety_augment_system("", raw_input)
state_set("layered_cycle_safety_system_addendum", augmented_addendum)
// L3: imprint responds
let output: String = imprint_respond(aligned, imprint_id)