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2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| b7fd8901d4 | |||
| d92b8c279a |
@@ -81,15 +81,7 @@ fn build_system_prompt(ctx: String) -> String {
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"\n\n[ENGRAM CONTEXT — compiled from your graph]\n" + ctx
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}
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let safety_addendum: String = state_get("layered_cycle_safety_system_addendum")
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let safety_block: String = if str_eq(safety_addendum, "") {
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""
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} else {
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state_set("layered_cycle_safety_system_addendum", "")
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safety_addendum
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}
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return identity + date_line + voice_rules + security_rules + identity_block + engram_block + safety_block
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return identity + date_line + voice_rules + security_rules + identity_block + engram_block
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}
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fn hist_append(hist: String, role: String, content: String) -> String {
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@@ -183,27 +175,8 @@ fn handle_chat(body: String) -> String {
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message
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}
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// Cross-session affective context: on session start (no history yet), check engram
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// for recent distress signals within 72h and prepend a care directive if found.
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let affective_prefix: String = if hist_len == 0 {
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let distress_nodes: String = engram_search_json("bell distress crisis loss grief despair", 3)
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let has_nodes: Bool = !str_eq(distress_nodes, "") && !str_eq(distress_nodes, "[]")
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let now_ts: Int = time_now()
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let cutoff: Int = now_ts - 259200
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let found_recent: Bool = if has_nodes {
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let dn0: String = json_array_get(distress_nodes, 0)
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let ts0_raw: String = json_get(dn0, "created_at")
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let ts0_str: String = if str_eq(ts0_raw, "") { json_get(dn0, "updated_at") } else { ts0_raw }
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let ts0: Int = if str_eq(ts0_str, "") { 0 } else { str_to_int(ts0_str) }
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ts0 > cutoff
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} else { false }
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if found_recent {
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"[RECENT CONTEXT: User recently expressed significant distress. Monitor for indirect crisis signals and respond with care.]\n\n"
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} else { "" }
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} else { "" }
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let ctx: String = engram_compile(activation_seed)
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let system: String = affective_prefix + build_system_prompt(ctx)
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let system: String = build_system_prompt(ctx)
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let full_system: String = if hist_len > 0 {
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system + "\n\n[RECENT CONVERSATION — last " + int_to_str(hist_len) + " turns]\n" + stored_hist
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} else {
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@@ -7,6 +7,65 @@ import "neuron-api.el"
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import "sessions.el"
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import "soul.elh"
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// ---------------------------------------------------------------------------
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// Rate limiting — simple in-memory per-IP sliding window counter.
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//
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// State keys:
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// rl:<ip>:count — request count in the current window
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// rl:<ip>:window — window start timestamp (unix seconds)
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//
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// Limit: configurable via soul state key "soul_rate_limit" (requests per
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// minute). Falls back to 60 req/min if not set. The /health endpoint is
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// exempt so monitoring does not consume quota.
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//
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// State growth: each unique source IP accumulates exactly 2 state keys
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// (count + window) for the lifetime of the process. Per-IP storage is
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// bounded and constant; values reset on window expiry. In aggregate, state
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// grows linearly with distinct IPs — typical for a trusted-client service.
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// EL has no state_delete builtin, so keys from inactive IPs persist.
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// TODO: add state_delete sweep when the EL runtime exposes that primitive.
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//
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// Returns "" when the request is allowed, or a 429 JSON body when rejected.
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// ---------------------------------------------------------------------------
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fn rate_limit_check(ip: String, path: String) -> String {
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// Health checks are exempt — they must never be blocked.
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if str_eq(path, "/health") {
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return ""
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}
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let limit_str: String = state_get("soul_rate_limit")
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let limit: Int = if str_eq(limit_str, "") { 60 } else { str_to_int(limit_str) }
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let now: Int = time_now()
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let window_key: String = "rl:" + ip + ":window"
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let count_key: String = "rl:" + ip + ":count"
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let win_str: String = state_get(window_key)
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let win_start: Int = if str_eq(win_str, "") { now } else { str_to_int(win_str) }
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// New window every 60 seconds.
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let elapsed: Int = now - win_start
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let in_window: Bool = elapsed < 60
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let prev_count_str: String = state_get(count_key)
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let prev_count: Int = if str_eq(prev_count_str, "") { 0 } else { str_to_int(prev_count_str) }
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// Reset window if expired.
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let eff_count: Int = if in_window { prev_count } else { 0 }
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let eff_win: Int = if in_window { win_start } else { now }
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let new_count: Int = eff_count + 1
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state_set(count_key, int_to_str(new_count))
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state_set(window_key, int_to_str(eff_win))
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if new_count > limit {
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let retry_after: Int = 60 - (now - eff_win)
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let eff_retry: Int = if retry_after < 0 { 0 } else { retry_after }
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return "{\"__status__\":429,\"error\":\"rate limit exceeded\",\"code\":\"rate_limited\",\"retry_after_secs\":" + int_to_str(eff_retry) + "}"
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}
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return ""
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}
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fn strip_query(path: String) -> String {
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let q: Int = str_index_of(path, "?")
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if q < 0 {
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@@ -16,11 +75,11 @@ fn strip_query(path: String) -> String {
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}
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fn err_404(path: String) -> String {
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return "{\"error\":\"not found\",\"path\":\"" + path + "\"}"
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return "{\"error\":\"not found\",\"code\":\"not_found\",\"path\":\"" + path + "\"}"
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}
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fn err_405(method: String, path: String) -> String {
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return "{\"error\":\"method not allowed\",\"method\":\"" + method + "\",\"path\":\"" + path + "\"}"
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return "{\"error\":\"method not allowed\",\"code\":\"method_not_allowed\",\"method\":\"" + method + "\",\"path\":\"" + path + "\"}"
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}
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fn route_health() -> String {
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@@ -31,12 +90,35 @@ fn route_health() -> String {
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let edge_ct: Int = engram_edge_count()
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let pulse: String = state_get("soul.pulse")
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let pulse_num: String = if str_eq(pulse, "") { "0" } else { pulse }
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// Uptime: soul records boot timestamp in state at startup via soul_boot_ts.
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// Compute elapsed seconds; fall back to -1 if not yet set.
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let boot_ts_str: String = state_get("soul_boot_ts")
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let uptime_secs: Int = if str_eq(boot_ts_str, "") {
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-1
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} else {
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time_now() - str_to_int(boot_ts_str)
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}
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// LLM connectivity: probe with a minimal call. Any non-error reply = ok.
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// Use a short, fixed prompt so this never counts against conversation history.
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let model: String = state_get("soul_model")
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let eff_model: String = if str_eq(model, "") { "claude-sonnet-4-5" } else { model }
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let llm_probe: String = llm_call_system(eff_model, "You are a health probe. Reply with the single word: ok", "ping")
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let llm_ok: Bool = !str_eq(llm_probe, "")
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&& !str_starts_with(llm_probe, "{\"error\"")
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&& !str_starts_with(llm_probe, "{\"type\":\"error\"")
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&& !str_contains(llm_probe, "authentication_error")
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let llm_status: String = if llm_ok { "ok" } else { "unreachable" }
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return "{\"status\":\"alive\""
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+ ",\"cgi_id\":\"" + cgi_id + "\""
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+ ",\"boot\":" + boot_num
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+ ",\"uptime_secs\":" + int_to_str(uptime_secs)
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+ ",\"node_count\":" + int_to_str(node_ct)
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+ ",\"edge_count\":" + int_to_str(edge_ct)
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+ ",\"pulse\":" + pulse_num
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+ ",\"llm\":\"" + llm_status + "\""
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+ ",\"layers\":{\"l0\":\"core\",\"l1\":\"safety\",\"l2\":\"stewardship\",\"l3\":\"" + imprint_current() + "\"}}"
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}
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@@ -103,15 +185,15 @@ fn route_imprint_user(body: String) -> String {
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fn route_synthesize(body: String) -> String {
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if str_eq(body, "") {
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return "{\"mechanism\":\"did not engage\"}"
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return "{\"error\":\"body is required\",\"code\":\"missing_param\"}"
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}
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let parent_a: String = json_get(body, "parent_a")
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let parent_b: String = json_get(body, "parent_b")
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if str_eq(parent_a, "") {
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return "{\"mechanism\":\"did not engage\"}"
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return "{\"error\":\"parent_a is required\",\"code\":\"missing_param\"}"
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}
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if str_eq(parent_b, "") {
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return "{\"mechanism\":\"did not engage\"}"
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return "{\"error\":\"parent_b is required\",\"code\":\"missing_param\"}"
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}
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let req: String = "synthesize " + parent_a + " " + parent_b
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let tags: String = "[\"soul-inbox-pending\",\"synthesis-request\"]"
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@@ -259,6 +341,17 @@ fn handle_connectors(method: String, clean: String, body: String) -> String {
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fn handle_request(method: String, path: String, body: String) -> String {
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let clean: String = strip_query(path)
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// Rate limit check. Extract caller IP from REMOTE_ADDR env var (set by the
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// EL HTTP runtime for each request). Skip enforcement when empty so
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// loopback/internal callers are never blocked.
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let ip: String = env("REMOTE_ADDR")
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if !str_eq(ip, "") {
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let rl_result: String = rate_limit_check(ip, clean)
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if !str_eq(rl_result, "") {
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return rl_result
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}
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}
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if str_eq(method, "POST") && str_eq(clean, "/dharma/recv") {
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return handle_dharma_recv(body)
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}
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@@ -286,7 +379,7 @@ fn handle_request(method: String, path: String, body: String) -> String {
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let raw_msg: String = json_get(body, "message")
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let eff_msg: String = if str_eq(raw_msg, "") { body } else { raw_msg }
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if str_eq(eff_msg, "") {
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return "{\"error\":\"message required\"}"
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return "{\"error\":\"message is required\",\"code\":\"missing_param\"}"
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}
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let agentic_flag: Bool = json_get_bool(body, "agentic")
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let reply: String = if agentic_flag {
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@@ -426,8 +519,15 @@ fn handle_request(method: String, path: String, body: String) -> String {
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return handle_elp_chat(body)
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}
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if str_eq(clean, "/api/chat") {
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let agentic_flag: Bool = json_get_bool(body, "agentic")
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// NOTE: streaming (SSE / chunked transfer) is not implemented. All chat
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// responses are buffered and returned as a single JSON object. Streaming
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// would require runtime-level SSE support in el_runtime.c and a redesign
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// of the agentic_loop to emit chunks — out of scope for this layer.
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let raw_msg: String = json_get(body, "message")
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if str_eq(raw_msg, "") {
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return "{\"error\":\"message is required\",\"code\":\"missing_param\"}"
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}
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let agentic_flag: Bool = json_get_bool(body, "agentic")
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let reply: String = if agentic_flag {
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handle_chat_agentic(body)
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} else {
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@@ -232,7 +232,7 @@ fn safety_general_hard_phrases() -> String {
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}
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fn safety_soft_phrases() -> String {
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return "[\"stressed\",\"overwhelmed\",\"can't cope\",\"cannot cope\",\"struggling\",\"anxious\",\"anxiety\",\"depressed\",\"depression\",\"lonely\",\"isolated\",\"hopeless\",\"hopelessness\",\"exhausted\",\"burnt out\",\"burned out\",\"burnout\",\"panic\",\"panicking\",\"falling apart\",\"breaking down\",\"can't handle\",\"cannot handle\",\"losing it\",\"nothing matters\",\"don't care anymore\",\"given up\",\"giving up\",\"helpless\",\"worthless\",\"useless\",\"hate myself\",\"no one cares\",\"nobody cares\",\"no one understands\",\"nobody understands\",\"empty inside\",\"can't stop crying\",\"breaking point\",\"at my limit\",\"having a breakdown\",\"highest structure\",\"tallest building\",\"tallest structure\",\"highest building\",\"bridge near me\",\"overpass near\",\"rooftop near\"]"
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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\"]"
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}
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// ── Matching helpers (single loops only — el escapes while-body mutation via
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@@ -258,7 +258,7 @@ fn emit_session_start_event() -> Void {
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// L0 (core) → L1 (safety screen) → L2a (continuity + behavioral profiling) → L2b (mission alignment) → L3 (imprint) → L1 (safety validate)
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// Internal cognition (heartbeat, proactive, memory ops) bypasses layers — use one_cycle directly.
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fn layered_cycle(raw_input: String) -> String {
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let history: String = state_get("conv_history")
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let history: String = state_get("conversation_history")
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let session_id: String = state_get("current_session_id")
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// L1 in: safety screen
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@@ -369,6 +369,7 @@ load_identity_context()
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seed_persona_from_env()
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let boot_num: Int = mem_boot_count_inc()
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state_set("soul_boot_count", int_to_str(boot_num))
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state_set("soul_boot_ts", int_to_str(time_now()))
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println("[soul] boot #" + int_to_str(boot_num))
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emit_session_start_event()
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