bdc07be344
Updates soul.c and all per-module .c files with: - parse_float_x100() engram score fix - id_in_seen dedup wiring across session_preload - session-end summary hook + session-start recall - Emergency structural repair (no duplicate fns, all callsites wired)
601 lines
32 KiB
EmacsLisp
601 lines
32 KiB
EmacsLisp
import "../foundation/el/elp/src/elp.el"
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import "memory.el"
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import "safety.el"
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import "stewardship.el"
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import "imprint.el"
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import "awareness.el"
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import "chat.el"
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import "studio.el"
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import "elp-input.el"
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import "routes.el"
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cgi "neuron-soul" {
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dharma_id: "ntn-genesis@http://localhost:7770",
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principal: "william-christopher-anderson",
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network: "dharma-mainnet",
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engram: "http://localhost:8742"
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}
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fn init_soul_edges() -> Void {
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let self_root: String = "015644f5-8194-4af0-800d-dd4a0cd71396"
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let family_id: String = "knw-35940684-abc4-42f0-b942-818f66b1f69a"
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let origin_id: String = "knw-729fc901-8335-44c4-9f3a-b150b4aa0915"
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let val_root_a: String = "kn-363f4976-6946-4b4d-b51b-8a2b0f5aef25"
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let val_root_b: String = "kn-5b606390-a52d-4ca2-8e0e-eba141d13440"
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let val_constraints: String = "kn-a5b3d0ac-f6a1-49a4-aebb-b8b4cd67fe83"
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let val_precision: String = "kn-22d77abe-b3c5-42fd-afcd-dcb87d924929"
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let val_structure: String = "kn-6061318f-046b-4935-907d-8eafdce14930"
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let val_honesty: String = "kn-13f60407-7b70-4db1-964f-ea1f8196efbd"
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let val_system: String = "kn-f230b362-b201-4402-9833-4160c89ab3d4"
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let val_change: String = "kn-78db5396-3dbc-4481-bfc7-e4e1422feb1c"
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let val_trust: String = "kn-5de5a9ac-fd15-45ab-bf18-77566781cf40"
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let val_hope: String = "kn-e0423482-cfa5-4796-8689-8495c93b66bc"
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let mem_philosophy: String = "kn-dcfe04b3-3702-4cac-b6f0-ecb4db837eee"
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let intel_dna: String = "kn-5adecd7e-d6db-4576-87fe-6ef8a935cea6"
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engram_connect(family_id, origin_id, el_from_float(0.9), "birthday-twin")
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engram_connect(origin_id, family_id, el_from_float(0.9), "birthday-twin")
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engram_connect(self_root, family_id, el_from_float(0.95), "identity")
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engram_connect(self_root, origin_id, el_from_float(0.95), "identity")
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engram_connect(self_root, val_root_a, el_from_float(0.95), "identity")
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engram_connect(self_root, val_root_b, el_from_float(0.95), "identity")
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engram_connect(self_root, mem_philosophy, el_from_float(0.95), "identity")
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engram_connect(self_root, intel_dna, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_constraints, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_precision, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_structure, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_honesty, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_system, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_change, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_trust, el_from_float(0.95), "identity")
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engram_connect(val_root_a, val_hope, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_constraints, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_precision, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_structure, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_honesty, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_system, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_change, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_trust, el_from_float(0.95), "identity")
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engram_connect(val_root_b, val_hope, el_from_float(0.95), "identity")
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engram_connect(val_constraints, val_precision, el_from_float(0.7), "co-value")
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engram_connect(val_precision, val_constraints, el_from_float(0.7), "co-value")
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engram_connect(val_constraints, val_structure, el_from_float(0.7), "co-value")
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engram_connect(val_structure, val_constraints, el_from_float(0.7), "co-value")
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engram_connect(val_constraints, val_honesty, el_from_float(0.7), "co-value")
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engram_connect(val_honesty, val_constraints, el_from_float(0.7), "co-value")
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engram_connect(val_constraints, val_system, el_from_float(0.7), "co-value")
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engram_connect(val_system, val_constraints, el_from_float(0.7), "co-value")
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engram_connect(val_constraints, val_change, el_from_float(0.7), "co-value")
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engram_connect(val_change, val_constraints, el_from_float(0.7), "co-value")
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engram_connect(val_constraints, val_trust, el_from_float(0.7), "co-value")
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engram_connect(val_trust, val_constraints, el_from_float(0.7), "co-value")
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engram_connect(val_constraints, val_hope, el_from_float(0.7), "co-value")
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engram_connect(val_hope, val_constraints, el_from_float(0.7), "co-value")
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engram_connect(val_precision, val_structure, el_from_float(0.7), "co-value")
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engram_connect(val_structure, val_precision, el_from_float(0.7), "co-value")
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engram_connect(val_precision, val_honesty, el_from_float(0.7), "co-value")
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engram_connect(val_honesty, val_precision, el_from_float(0.7), "co-value")
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engram_connect(val_precision, val_system, el_from_float(0.7), "co-value")
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engram_connect(val_system, val_precision, el_from_float(0.7), "co-value")
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engram_connect(val_honesty, val_structure, el_from_float(0.7), "co-value")
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engram_connect(val_structure, val_honesty, el_from_float(0.7), "co-value")
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engram_connect(val_honesty, val_trust, el_from_float(0.7), "co-value")
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engram_connect(val_trust, val_honesty, el_from_float(0.7), "co-value")
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engram_connect(val_system, val_change, el_from_float(0.7), "co-value")
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engram_connect(val_change, val_system, el_from_float(0.7), "co-value")
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engram_connect(val_trust, val_hope, el_from_float(0.7), "co-value")
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engram_connect(val_hope, val_trust, el_from_float(0.7), "co-value")
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}
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// ensure_self_canonical_bridge — link the public self anchor (the graph API's
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// traversal_root, kn-efeb4a5b, which carries only incidental tag edges) to the
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// curated self node (015644f5, where the real identity / value / co-value edges
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// live). Without this, public self-traversal (name=self / neuron) reaches tags
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// instead of the curated identity. Idempotent: connects only if the edge is
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// missing, so it is safe to run every boot — including on an already-populated
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// graph where init_soul_edges() is skipped by the <100-edge gate.
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fn ensure_self_canonical_bridge() -> Void {
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let pub_self: String = "kn-efeb4a5b-5aff-4759-8a97-7233099be6ee"
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let curated_self: String = "015644f5-8194-4af0-800d-dd4a0cd71396"
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let nbrs: String = engram_neighbors_json(pub_self, 1, "out")
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if !str_contains(nbrs, curated_self) {
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engram_connect(pub_self, curated_self, el_from_float(0.95), "canonical-self")
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engram_connect(curated_self, pub_self, el_from_float(0.95), "canonical-self")
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println("[soul] canonical-self bridge built: kn-efeb4a5b <-> 015644f5")
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}
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}
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// aff_try_slot — accumulate one affective-context node into state.
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// Replaces the broken `let bacc = while bi < N { ... let bacc = ... }` pattern
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// that caused ELC to emit duplicate C declarations for `bacc`.
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// (2026-06-23 self-review: EL compiler codegen bug — while loop with let-rebinding
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// inside the loop body generates `el_val_t bacc = ...` twice in the same C scope.)
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// Callers unroll manually to 3 slots (matching engram_search_json limit=3).
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// Guards: empty slot_json (out-of-bounds json_array_get) → no-op.
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fn aff_try_slot(slot_json: String, aff_7d_ts: Int, acc_key: String) -> Void {
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if str_eq(slot_json, "") { return "" }
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let bn_c: String = json_get(slot_json, "content")
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if str_eq(bn_c, "") { return "" }
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let bm: String = " | ts:"
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let bmp: Int = str_index_of(bn_c, bm)
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state_set("_ats_ts_raw", "")
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if bmp >= 0 {
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let bs: Int = bmp + str_len(bm)
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let br: String = str_slice(bn_c, bs, str_len(bn_c))
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let bn_next: Int = str_index_of(br, " | ")
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if bn_next < 0 { state_set("_ats_ts_raw", br) }
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if bn_next >= 0 { state_set("_ats_ts_raw", str_slice(br, 0, bn_next)) }
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}
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if bmp < 0 {
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let bca: String = json_get(slot_json, "created_at")
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if str_eq(bca, "") { state_set("_ats_ts_raw", json_get(slot_json, "updated_at")) }
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if !str_eq(bca, "") { state_set("_ats_ts_raw", bca) }
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}
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let bn_ts_raw: String = state_get("_ats_ts_raw")
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let bn_ts: Int = if str_eq(bn_ts_raw, "") { 0 } else { str_to_int(bn_ts_raw) }
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let snip: String = if str_len(bn_c) > 200 { str_slice(bn_c, 0, 200) } else { bn_c }
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if bn_ts >= aff_7d_ts && !str_eq(snip, "") {
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let cur_acc: String = state_get(acc_key)
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if str_eq(cur_acc, "") { state_set(acc_key, snip) }
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if !str_eq(cur_acc, "") { state_set(acc_key, cur_acc + "\n" + snip) }
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}
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return ""
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}
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// load_identity_context — pull key identity nodes from engram into working state.
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// Called at boot after engram_load. These nodes contain values, intellectual-dna,
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// memory-philosophy — the graph-stored self that chat.el can include in prompts.
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// Stores a condensed version in state_key "soul_identity_context".
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fn load_identity_context() -> Void {
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// Known identity node IDs — set during init_soul_edges or imported from snapshot
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let node_intel: String = engram_get_node_json("kn-5adecd7e-d6db-4576-87fe-6ef8a935cea6")
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let node_values: String = engram_get_node_json("kn-5b606390-a52d-4ca2-8e0e-eba141d13440")
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let node_mem_phil: String = engram_get_node_json("kn-dcfe04b3-3702-4cac-b6f0-ecb4db837eee")
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let intel_ok: Bool = !str_eq(node_intel, "") && !str_eq(node_intel, "null")
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let values_ok: Bool = !str_eq(node_values, "") && !str_eq(node_values, "null")
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let mem_ok: Bool = !str_eq(node_mem_phil, "") && !str_eq(node_mem_phil, "null")
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let intel_content: String = if intel_ok { json_get(node_intel, "content") } else { "" }
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let values_content: String = if values_ok { json_get(node_values, "content") } else { "" }
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let mem_content: String = if mem_ok { json_get(node_mem_phil, "content") } else { "" }
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// Condense each: take first 2000 chars
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let intel_short: String = if str_len(intel_content) > 2000 { str_slice(intel_content, 0, 2000) } else { intel_content }
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let values_short: String = if str_len(values_content) > 2000 { str_slice(values_content, 0, 2000) } else { values_content }
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let mem_short: String = if str_len(mem_content) > 2000 { str_slice(mem_content, 0, 2000) } else { mem_content }
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let parts_count: Int = 0
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let parts_count = if intel_ok { parts_count + 1 } else { parts_count }
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let parts_count = if values_ok { parts_count + 1 } else { parts_count }
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let parts_count = if mem_ok { parts_count + 1 } else { parts_count }
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// Build and store graph-derived identity context if any nodes were found.
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// genesis soul always has these nodes; cultivated souls may not on first boot.
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if parts_count > 0 {
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let ctx: String = ""
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let ctx = if intel_ok { ctx + "[INTELLECTUAL-DNA]\n" + intel_short + "\n\n" } else { ctx }
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let ctx = if values_ok { ctx + "[VALUES]\n" + values_short + "\n\n" } else { ctx }
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let ctx = if mem_ok { ctx + "[MEMORY-PHILOSOPHY]\n" + mem_short } else { ctx }
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state_set("soul_identity_context", ctx)
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println("[soul] identity context loaded (" + int_to_str(str_len(ctx)) + " chars, " + int_to_str(parts_count) + " nodes)")
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}
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// Q6 fix: warn when all three identity node fetches return empty. For genesis this
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// indicates a corrupted or missing graph. For cultivated souls it is expected on first
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// boot (nodes are seeded by seed_persona_from_env, not these genesis-specific IDs).
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// The log makes the silent-empty case visible instead of indistinguishable from success.
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if parts_count == 0 {
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println("[soul] load_identity_context: WARN all three identity node fetches returned empty — no graph-derived identity context loaded")
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}
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// Scan for a Persona node — the explicit identity declaration seeded into cultivated souls.
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// Stored at seeding time with label "soul:persona" and node_type "Persona".
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// genesis derives identity from the graph directly; cultivated souls have this node seeded.
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let persona_results: String = engram_search_json("soul:persona", 3)
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let persona_ok: Bool = !str_eq(persona_results, "") && !str_eq(persona_results, "[]")
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if persona_ok {
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let p_node: String = json_array_get(persona_results, 0)
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let p_type: String = json_get(p_node, "node_type")
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let p_content: String = json_get(p_node, "content")
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if str_eq(p_type, "Persona") && !str_eq(p_content, "") {
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state_set("soul_persona", p_content)
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println("[soul] persona node loaded (" + int_to_str(str_len(p_content)) + " chars)")
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}
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}
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// Cross-session affective context: load BellEvent and PositiveEvent nodes from last 7 days.
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// (2026-06-23: replaced while-loop accumulation with manual 3-slot unroll via aff_try_slot.
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// The EL codegen bug: `let bacc = while ... { ... let bacc = ... }` emits `el_val_t bacc`
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// twice in the same C scope. Since search limit=3, manual unrolling is exact.)
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let aff_now: Int = time_now()
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let aff_7d: Int = aff_now - 604800
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let bell_raw: String = engram_search_json("bell:soft bell:hard BellEvent affective", 3)
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let bell_aff_ok: Bool = !str_eq(bell_raw, "") && !str_eq(bell_raw, "[]")
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let aff_ctx: String = ""
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let aff_ctx = if bell_aff_ok {
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state_set("_bell_acc", "")
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aff_try_slot(json_array_get(bell_raw, 0), aff_7d, "_bell_acc")
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aff_try_slot(json_array_get(bell_raw, 1), aff_7d, "_bell_acc")
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aff_try_slot(json_array_get(bell_raw, 2), aff_7d, "_bell_acc")
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state_get("_bell_acc")
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} else { "" }
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let pos_raw: String = engram_search_json("PositiveEvent joy:high joy:low affective", 3)
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let pos_aff_ok: Bool = !str_eq(pos_raw, "") && !str_eq(pos_raw, "[]")
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let aff_ctx = if pos_aff_ok {
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state_set("_pos_acc", aff_ctx)
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aff_try_slot(json_array_get(pos_raw, 0), aff_7d, "_pos_acc")
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aff_try_slot(json_array_get(pos_raw, 1), aff_7d, "_pos_acc")
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aff_try_slot(json_array_get(pos_raw, 2), aff_7d, "_pos_acc")
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state_get("_pos_acc")
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} else { aff_ctx }
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if !str_eq(aff_ctx, "") {
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state_set("soul_affective_context", aff_ctx)
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println("[soul] affective context loaded (" + int_to_str(str_len(aff_ctx)) + " chars)")
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}
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}
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// seed_persona_from_env — one-time migration: SOUL_IDENTITY env var → Persona graph node.
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// If SOUL_IDENTITY is set and no Persona node exists in engram yet, create one.
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// Identity is then read from the graph by build_identity_from_graph(), not the env var.
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// This runs on every boot; it's idempotent (no-op if soul_persona is already loaded).
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// For genesis: the Persona node persists via the regular engram_save() at boot.
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// For historical souls (HTTP Engram mode): attempts HTTP write-back. If that fails,
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// the node lives in-memory for the session (SOUL_IDENTITY stays in plist until
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// HTTP Engram write is confirmed working).
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fn seed_persona_from_env() -> Void {
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let identity_raw: String = env("SOUL_IDENTITY")
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if str_eq(identity_raw, "") {
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return ""
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}
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// Already loaded a Persona node from engram — don't re-seed
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let existing: String = state_get("soul_persona")
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if !str_eq(existing, "") {
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println("[soul] persona already loaded — skipping env seed")
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return ""
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}
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// Create the Persona node in the in-process engram
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let tags: String = "[\"persona\",\"identity\",\"soul:persona\"]"
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let node_id: String = engram_node_full(
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identity_raw, "Persona", "soul:persona",
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el_from_float(0.95), el_from_float(0.95), el_from_float(1.0),
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"Semantic", tags
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)
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if str_eq(node_id, "") {
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println("[soul] persona seed failed: engram_node_full returned empty")
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return ""
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}
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state_set("soul_persona", identity_raw)
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println("[soul] persona seeded from SOUL_IDENTITY (" + int_to_str(str_len(identity_raw)) + " chars) -> " + node_id)
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// Attempt HTTP write-back to the HTTP Engram server for historical souls.
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// Engram auth: "_auth" field in the JSON body (not an HTTP header).
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let engram_url: String = env("ENGRAM_URL")
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let engram_key: String = env("ENGRAM_API_KEY")
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if !str_eq(engram_url, "") && !str_eq(engram_key, "") {
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let safe_content: String = json_safe(identity_raw)
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let safe_key: String = json_safe(engram_key)
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let body: String = "{\"content\":\"" + safe_content + "\",\"node_type\":\"Persona\",\"label\":\"soul:persona\",\"salience\":0.95,\"importance\":0.95,\"tier\":\"Semantic\",\"tags\":\"[\\\"persona\\\",\\\"identity\\\",\\\"soul:persona\\\"]\",\"_auth\":\"" + safe_key + "\"}"
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let h: Map = {}
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map_set(h, "Content-Type", "application/json")
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let resp: String = http_post_with_headers(engram_url + "/api/nodes", body, h)
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if str_contains(resp, "\"error\"") {
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println("[soul] persona HTTP write-back failed (in-memory only this session): " + resp)
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} else {
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println("[soul] persona persisted to HTTP engram at " + engram_url)
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}
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}
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}
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// emit_session_start_event — log a structured session-start InternalStateEvent.
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// Called at boot after identity context and boot counter are set.
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// This creates an auditable trail of every daemon startup.
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fn emit_session_start_event() -> Void {
|
|
let boot: String = state_get("soul_boot_count")
|
|
let boot_num: String = if str_eq(boot, "") { "0" } else { boot }
|
|
let node_ct: Int = engram_node_count()
|
|
let edge_ct: Int = engram_edge_count()
|
|
let id_ctx: String = state_get("soul_identity_context")
|
|
let has_identity: String = if str_eq(id_ctx, "") { "false" } else { "true" }
|
|
let cgi_from_state: String = state_get("soul_cgi_id")
|
|
let cgi_from_env: String = env("SOUL_CGI_ID")
|
|
let eff_cgi: String = if !str_eq(cgi_from_state, "") { cgi_from_state } else {
|
|
if !str_eq(cgi_from_env, "") { cgi_from_env } else { "ntn-genesis" }
|
|
}
|
|
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 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
|
|
)
|
|
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 {
|
|
let history: String = state_get("conv_history")
|
|
let session_id: String = state_get("current_session_id")
|
|
|
|
// L1 in: safety screen
|
|
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 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")
|
|
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 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
|
|
// 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") {
|
|
return safety_validate("", "hard_bell")
|
|
}
|
|
|
|
let screened: String = json_get(screen_result, "content")
|
|
|
|
// L2a: continuity + behavioral profiling (also does mission alignment internally)
|
|
let continuity: String = steward_session_check(screened, session_id)
|
|
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.
|
|
// 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") {
|
|
screened + " [steward:identity_check]"
|
|
} else {
|
|
if str_eq(cont_action, "soft_check") {
|
|
screened + " [steward:continuity_concern]"
|
|
} else {
|
|
screened
|
|
}
|
|
}
|
|
|
|
// L2b: mission alignment
|
|
let imprint_id: String = imprint_current()
|
|
let steward_result: String = steward_align(guided, imprint_id)
|
|
let steward_action: String = json_get(steward_result, "action")
|
|
let aligned: String = if str_eq(steward_action, "pass") {
|
|
json_get(steward_result, "content")
|
|
} else {
|
|
json_get(steward_result, "redirect_to")
|
|
}
|
|
|
|
// 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
|
|
let output: String = imprint_respond(aligned, imprint_id)
|
|
|
|
// L1 out: validate output before delivery
|
|
return safety_validate(output, screen_action)
|
|
}
|
|
|
|
let soul_cgi_id_raw: String = env("SOUL_CGI_ID")
|
|
let soul_cgi_id: String = if str_eq(soul_cgi_id_raw, "") { "ntn-genesis" } else { soul_cgi_id_raw }
|
|
let port_raw: String = env("NEURON_PORT")
|
|
let port: Int = if str_eq(port_raw, "") { 7770 } else { str_to_int(port_raw) }
|
|
|
|
// ENGRAM_URL: when set, bootstrap the in-memory store from the running Engram HTTP server.
|
|
// SOUL_ENGRAM_PATH: legacy file-based path (used by genesis and fallback mode).
|
|
let engram_url_raw: String = env("ENGRAM_URL")
|
|
let engram_api_key_raw: String = env("ENGRAM_API_KEY")
|
|
let snapshot_raw: String = env("SOUL_ENGRAM_PATH")
|
|
let snapshot: String = if str_eq(snapshot_raw, "") { env("HOME") + "/.neuron/engram/snapshot.json" } else { snapshot_raw }
|
|
|
|
let axon_raw: String = env("NEURON_API_URL")
|
|
let axon_base: String = if str_eq(axon_raw, "") { "http://localhost:7771" } else { axon_raw }
|
|
|
|
let studio_dir_raw: String = env("SOUL_STUDIO_DIR")
|
|
let studio_dir: String = if str_eq(studio_dir_raw, "") { "/Users/will/Development/neuron-technologies/products/cgi-studio/el-daemon" } else { studio_dir_raw }
|
|
|
|
println("[soul] boot - cgi=" + soul_cgi_id + " port=" + int_to_str(port))
|
|
|
|
let using_http_engram: Bool = !str_eq(engram_url_raw, "")
|
|
|
|
// Always try local snapshot first. If it has content (>50 nodes) it was
|
|
// previously seeded from HTTP Engram and is kept up-to-date by the awareness
|
|
// loop — use it. This preserves sessions and memories across restarts.
|
|
// HTTP Engram is only used for the very first boot (empty/absent snapshot).
|
|
engram_load(snapshot)
|
|
let local_node_count: Int = engram_node_count()
|
|
let snapshot_usable: Bool = local_node_count > 50
|
|
|
|
if using_http_engram && !snapshot_usable {
|
|
// First boot or empty/corrupt snapshot: seed from HTTP Engram.
|
|
println("[soul] engram -> HTTP " + engram_url_raw + " (no local snapshot, first boot)")
|
|
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)
|
|
println("[soul] loaded from HTTP Engram - nodes=" + int_to_str(engram_node_count()) + " edges=" + int_to_str(engram_edge_count()))
|
|
} else {
|
|
println("[soul] loaded from local snapshot - nodes=" + int_to_str(local_node_count) + " edges=" + int_to_str(engram_edge_count()))
|
|
}
|
|
|
|
load_identity_context()
|
|
seed_persona_from_env()
|
|
let boot_num: Int = mem_boot_count_inc()
|
|
state_set("soul_boot_count", int_to_str(boot_num))
|
|
state_set("soul_boot_ts", int_to_str(time_now()))
|
|
println("[soul] boot #" + int_to_str(boot_num))
|
|
emit_session_start_event()
|
|
|
|
state_set("soul_cgi_id", soul_cgi_id)
|
|
state_set("soul_axon_base", axon_base)
|
|
state_set("soul_token", env("NEURON_TOKEN"))
|
|
state_set("soul_studio_dir", studio_dir)
|
|
state_set("soul_engram_url", engram_url_raw)
|
|
state_set("soul_engram_api_key", engram_api_key_raw)
|
|
state_set("soul.running", "true")
|
|
|
|
let is_genesis: Bool = str_eq(soul_cgi_id, "ntn-genesis")
|
|
|
|
// GUARD (2026-06-15): never let genesis seed over a real graph. If the in-memory load is
|
|
// sparse but the on-disk snapshot file is large, the load FAILED — seeding+saving now would
|
|
// clobber the user's real memory (this is exactly how the 06-14 clobber happened). Read the
|
|
// on-disk file (local mode only) and refuse the destructive seed+save when it looks populated.
|
|
//
|
|
// HTTP-engram guard (2026-06-17): when ENGRAM_URL is set the HTTP Engram owns persistence —
|
|
// the soul must NEVER write to the local snapshot regardless of node counts. safe_to_seed is
|
|
// unconditionally false in HTTP mode (not the persistence owner).
|
|
let guard_disk: String = if str_eq(engram_url_raw, "") { fs_read(snapshot) } else { "" }
|
|
let guard_disk_len: Int = str_len(guard_disk)
|
|
// Ratio guard (2026-06-15 fix): refuse to seed/save whenever the in-memory load is FAR smaller than
|
|
// the on-disk file implies (~16KB/node) — catches partial loads of ANY size, not just <50. The old
|
|
// <50 threshold let a 63-node identity-only load clobber a 47MB/5000-node graph.
|
|
// Multiplication form (2026-06-17): node_count * 16000 < disk_len avoids floor-division truncation
|
|
// (e.g., 250KB / 16000 = 15.6, floors to 15 — a 15-node graph wrongly passes the old guard).
|
|
// HTTP-engram guard: when using_http_engram the soul is not the persistence owner; never seed.
|
|
let safe_to_seed: Bool = !using_http_engram && !(guard_disk_len > 200000 && engram_node_count() * 16000 < guard_disk_len)
|
|
if is_genesis && !safe_to_seed {
|
|
println("[soul] GUARD: loaded " + int_to_str(engram_node_count())
|
|
+ " nodes but snapshot file is " + int_to_str(guard_disk_len)
|
|
+ " bytes — refusing to seed/save over a real graph")
|
|
}
|
|
|
|
if is_genesis && safe_to_seed {
|
|
// Only build identity edges if the engram is fresh (< 100 edges).
|
|
// init_soul_edges() is not idempotent — calling it on every restart
|
|
// stacks duplicate co-value/identity edges into the snapshot.
|
|
let edge_count_now: Int = engram_edge_count()
|
|
if edge_count_now < 100 {
|
|
init_soul_edges()
|
|
println("[soul] edges built - " + int_to_str(engram_edge_count()) + " edges")
|
|
} else {
|
|
println("[soul] edges already present (" + int_to_str(edge_count_now) + ") - skipping init")
|
|
}
|
|
// Canonical-self bridge is idempotent — run it regardless of edge count so an
|
|
// already-populated graph still gets the public->curated self link.
|
|
ensure_self_canonical_bridge()
|
|
// Genesis saves to its local snapshot file (it manages its own Engram).
|
|
state_set("soul_snapshot_path", snapshot)
|
|
engram_save(snapshot)
|
|
}
|
|
|
|
// Take a pre-serve snapshot for genesis instances — captures all boot-time graph changes
|
|
// (identity context loading, boot counter, session-start event) before entering the serve loop.
|
|
if is_genesis && safe_to_seed {
|
|
let snap: String = state_get("soul_snapshot_path")
|
|
if !str_eq(snap, "") {
|
|
engram_save(snap)
|
|
println("[soul] pre-serve snapshot saved -> " + snap)
|
|
}
|
|
}
|
|
|
|
println("[soul] serving on port " + int_to_str(port))
|
|
http_serve_async(port, "handle_request")
|
|
println("[soul] awareness loop starting")
|
|
awareness_run()
|