Adds current_engine_note() to chat.el and appends it to the system
prompt in handle_chat. Allows Neuron to answer 'what model am I
running on?' accurately — the model id from the request body (or
the configured default) is passed as a factual annotation rather
than expecting the LLM to guess from training data.
Main already contained the connector proxy, safety module, seeding ratio
guard, and neuron-api node CRUD that Tim added — these were incorporated
via earlier parallel sessions. Taking main for all conflicted files
(superset implementations).
Unique contributions carried forward:
- flag_true() in routes.el: tolerates agentic:1 (integer) from the
el-src UI in addition to agentic:true (bool) from the Kotlin UI.
- memory.elh: auto-merged timestamp bump.
The is_pending / skip-auto-persist logic was already in main's routes.el.
Removes route_sessions() from the GET handler which was shadowing
session_list() in sessions.el. Adds DELETE /api/sessions/:id and
PATCH /api/sessions/:id routes. Also includes bridge_save/agentic_resume
raw-JSON embedding fix (messages_raw/tools_raw fields).
Conflict resolution: kept HEAD's workspace root check for write_file
tool, and bridge blob validation guards, which were added to main after
Tim's branch diverged.
The hops=1 comment incorrectly claimed a semantic seed supplement
(cosine-sim scan) was active — it was planned but never implemented.
Corrected to accurately describe what the runtime does (istr_contains
only). Also adds wm_top (top-3 WM nodes by weight) to the curiosity_scan
ISE payload so activation patterns are visible without relying solely on
the heartbeat's wm_active count.
handle_dharma_room_turn and handle_dharma_chat both called
distill_transcript since June 30 but the function was never declared,
causing a build failure. Implements last-3-messages extraction for JSON
array transcripts and last-500-char truncation for plain text.
The while loop in session_search had too many let bindings in scope;
the ELC compiler's exponential rebinding accumulation caused OOM and
truncation of dist/sessions.c since June 30. Moving the per-node logic
into session_search_entry gives the compiler a clean scope boundary per
call, restoring O(N) compile behaviour.
Additive: appends a factual [CURRENT ENGINE: <model>] line to the system prompt (model from the
request body — accurate even under Auto routing; falls back to configured default). An LLM can't
know its own model from training (name/version assigned post-training), so the harness must tell it.
Identity-consistent: model = engine, self layered on top. Does NOT alter identity/values/safety.
PARSES (elc chat.el exit 0); NOT built/tested — ships with the soul rebuild.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Fix 1: mem_boot_count_inc prunes all existing soul:boot_count nodes before
inserting the new one — keeps exactly one boot counter node instead
of accumulating a new node per boot. Also fixes a latent ordering
bug where engram_search_json oldest-first results caused the counter
to read stale (low) values once >3 copies accumulated.
Fix 3: handle_api_node_delete comment clarified — the no-verify exception
is correct for deletes (not a write path); read-back-verify is for
writes only.
Fix 4: emit_session_start_event prunes old session-start InternalStateEvent
nodes after each boot, keeping the 10 most recent and forgetting
older ones. Prevents unbounded accumulation of ~120+ copies.
- PR #60: inject operator home dir into system prompt (#30)
Adds OPERATOR IDENTITY section so the LLM correctly resolves
'my files/notes/desktop' to the actual running user's $HOME.
Prevents identity confusion between imprint author and operator.
- PR #61: plan-mode endpoint POST /api/chat {mode:'plan'} (#27)
Adds handle_chat_plan — returns {steps:[{id,title,detail}]} JSON.
Wired into all three /api/chat route handlers. Grounds the plan
via engram_compile (same as agentic path) for context awareness.
dist changes:
- soul.c: both PRs compiled in; build_system_prompt updated to
2-param signature (ctx, chat_mode); handle_chat_plan added
- chat.c/routes.c/chat.elh: individual module outputs updated
- elp-c-decls.h: remove stale 1-param build_system_prompt decl,
add handle_chat_plan declaration
- soul.elh.c: new soul header declarations file (from PR #60)
Compile verified: cc -O2 -DHAVE_CURL soul.c el_runtime.c -lcurl
Binary: 805K arm64, smoke test passes (port in use = expected).
Both ci.yaml and deploy-gke.yaml triggered on push/main and shared the
neuron-runner concurrency group. Gitea's cancel-in-progress:false protects
running jobs but not queued ones — a new push arriving while a build was
in progress cancelled the queued deploy job from the previous push, leaving
the soul permanently at 0/0 replicas on GKE.
Fix: add deploy as a needs:build job in ci.yaml so build+deploy are a single
workflow instance. One push queues one instance — no more orphaned deploys.
deploy-gke.yaml is demoted to workflow_dispatch-only for manual slot overrides.
elb runs elc which consumes 24GB+ virtual memory on the 16GB GCE runner,
OOM-killing the runner process and crashing the VM. We already restore the
repo's pre-built soul.c immediately after elb runs, so elb's output is
discarded anyway. Skip elb entirely: download only the El runtime headers
and compile dist/soul.c directly.
Root cause: runner VM was unresponsive for 7+ weeks due to repeated elc
OOM kills. VM was manually reset 2026-06-28 to restore CI.
Merge pull request fix(mcp-wrapper): planWork creates a real BacklogItem; reviewBacklog lists by type (#59) from fix/wrapper-backlog-endpoints into main
planWork fell through create_typed_node to a generic /api/neuron/memory write — a [BacklogItem]-prefixed
memory blob with title/project/priority DROPPED, never a real BacklogItem. reviewBacklog used a lexical
/recall (top-50, untyped). Now: planWork -> /api/neuron/node/create {node_type:BacklogItem,...} via new
create_node_typed; reviewBacklog -> list_typed('BacklogItem') (GET /api/neuron/list/BacklogItem). elc-clean.
Depends on neuron PR #58 (the list/<type> slice fix) to round-trip; needs the wrapper binary rebuilt +
:7779 restarted to take effect.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
str_slice(clean, 16, ...) left a leading slash on node_type ('/BacklogItem'), so
engram_scan_nodes_by_type_json matched nothing and list/<type> returned [] for EVERY type — silently
breaking backlog + typed-node listing across the app and MCP tools (reviewBacklog). Proven live: the
literal-scan endpoint /api/neuron/knowledge returns nodes; /api/neuron/list/Knowledge returned []. elc-clean.
NOTE: soul-core — needs dist/soul.c regen (Will); rides the same rebuild as #56/#57.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds /api/connectors/call -> connectd /mcp/call, so the app can invoke a connector tool (e.g. WhatsApp
get_pairing_qr / get_login_status for the pairing UI) through the soul, keeping app->soul->connectd
intact (UI never hits connectd directly) and working for future remote/hosted clients. elc-clean.
NOTE: soul-core change — needs dist/soul.c regen (Will), can ride the same rebuild as PR #56.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
handle_chat_agentic now reads body image + image_media_type and, when present, sends the current
user turn as an Anthropic content-block array [{text},{image}] instead of a plain string — so the
model sees raw pixels alongside memory, history, and tools (parity with the CLI). Additive: no image
=> output byte-identical to before. elc-clean. Pairs with neuron-ui fix/chat-vision-attachments.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
neuron.c and routes.c were compiled against the old 1-arg soul interface.
chat.c already uses the 2-arg signature. The Windows cross-compile build
generates elp-c-decls.h from all dist/*.c files, causing a conflicting-types
error when both signatures appear. Recompile these modules against the
current soul API to eliminate the conflict.
Linked against dev runtime with is_knowledge fix that adds Knowledge
node type. Engram goal_bias now gives Knowledge nodes +0.3 boost on
technical queries, consistent with how Belief/DharmaSelf/Safety nodes
are already treated. Same el_runtime source as concurrent foundation/el
commit 16d62bd.
All 8 session_preload node accesses (3 profile, 2 work, 2 project, 1
summary) now check id_in_seen(node_id, seen_ids) before including
content. seen_ids is populated by engram_compile via state and covers
all nodes already in the activation+search context block. Prevents
high-salience nodes from appearing twice in the system prompt.
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.
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.
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.
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
will.anderson
Tim Lingo