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Author SHA1 Message Date
will.anderson 195cc9dc66 Merge pull request 'test(soul): Layer 1 safety.el test suite' (#10) from test/layer-safety into feat/layer-safety
Neuron Soul CI / build (pull_request) Failing after 5m53s
2026-06-11 17:13:50 +00:00
will.anderson db2ee387a4 fix(soul): address review issues in feat/layer-safety
Neuron Soul CI / build (pull_request) Failing after 6m47s
2026-06-11 11:46:43 -05:00
will.anderson ba8491926c test(soul): comprehensive tests for Layer 1 safety.el 2026-06-11 11:40:59 -05:00
will.anderson 5597bf78cb feat(soul): Layer 1 — safety.el with screen/validate/bell interface
Neuron Soul CI / build (pull_request) Failing after 7m19s
2026-06-11 11:30:57 -05:00
will.anderson 5a4ef04005 feat: add mcp-proxy and mcp-wrapper source (MCP front-door for Claude Code)
Deploy Soul to GKE / deploy (push) Failing after 36s
Neuron Soul CI / build (push) Failing after 4m59s
2026-06-10 17:44:01 -05:00
will.anderson 3947cd6bed Merge pull request 'Memory CRUD: add /api/neuron/memory/delete and /api/neuron/memory/update' (#4) from feat/memory-delete-update into main
Neuron Soul CI / build (push) Failing after 6m16s
Deploy Soul to GKE / deploy (push) Failing after 35s
2026-06-10 22:37:53 +00:00
will.anderson abaa61fd7f Merge pull request 'Native Anthropic web_search — built-in (always-on, no toggle)' (#2) from feat/native-web-search into main
Deploy Soul to GKE / deploy (push) Failing after 37s
Neuron Soul CI / build (push) Failing after 6m29s
2026-06-10 22:37:50 +00:00
Tim Lingo 05ca125ecc api: add /api/neuron/memory/delete and /api/neuron/memory/update for UI memory CRUD
Neuron Soul CI / build (pull_request) Failing after 4m48s
The UI needs full memory CRUD; the soul had create (handle_api_remember)
and the older /memory/forget + /memory/evolve, but no endpoints matching
the UI's delete/update contract.

POST /api/neuron/memory/delete {"id"}
  Hard delete. engram_forget is a true delete primitive (removes the node
  and all incident edges from the engram store), so no soft-delete
  fallback is needed. Unlike /memory/forget, this checks the node exists
  first - engram_forget silently no-ops on unknown ids, and a bad id must
  return an error, not fake success. Protected identity/values nodes are
  blocked, same as the other accumulation-path handlers.

POST /api/neuron/memory/update {"id","content"}
  Evolve-style update. The engram runtime has no in-place node mutation
  primitive (only node-create, strengthen, forget, connect), so update
  creates a new Memory node and wires a supersedes edge to the prior one,
  same pattern as handle_api_evolve_knowledge. Unlike /memory/evolve, id
  is required and must reference an existing node; create+link delegates
  to handle_api_evolve_memory. Returns {id, supersedes, ok}.

Both files syntax-checked with elc --target=c (exit 0, no stderr).
Compile-verified only - local builds cannot run the soul; needs Will's
build for runtime verification.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-10 15:43:17 -05:00
Tim Lingo 8eea1d94ff feat(chat): make web search built-in (always attach native web_search)
Neuron Soul CI / build (pull_request) Successful in 5m27s
handle_chat_agentic now always attaches Anthropic's native web_search_20250305
tool instead of gating it behind a per-request web_search flag. Web search is a
built-in capability: the model invokes it only when a query needs fresh info
(max_uses:5 caps it), so there is no user-facing toggle. The body's web_search
field is now ignored (back-compat — old UI clients sending it cause no harm).

Pairs with neuron-ui removing the chat-input web search toggle.
Note: .el change only — no elc on the authoring machine; reviewer builds/verifies.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-09 23:39:26 -05:00
Tim Lingo c594cec8f7 Add native Anthropic web_search tool to the agentic chat path
Neuron Soul CI / build (pull_request) Successful in 5m8s
When a chat request carries web_search=true, handle_chat_agentic now attaches Anthropic's
NATIVE server-side web_search tool (web_search_20250305) to the request. The native tool is
executed by Anthropic (not by the soul), so it returns real results with citations and needs
no local runtime — it sidesteps the soul's lack of executable tools entirely.

- new agentic_tools_with_web(web_search) helper (appends the native tool to the standard set)
- handle_chat_agentic reads json_get_bool(body,"web_search") and uses it

Pairs with neuron-ui: ChatRequest.web_search + the chat-input Web search toggle.
Note: built/verified by reviewer — no elc on the authoring machine.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 23:32:23 -05:00
12 changed files with 1627 additions and 1 deletions
+12 -1
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@@ -259,6 +259,17 @@ fn agentic_tools_literal() -> String {
"]" "]"
} }
// agentic_tools_with_web the standard tool set, always plus Anthropic's NATIVE
// server-side web_search tool. Web search is BUILT IN: the model invokes it only when a
// query needs fresh info (max_uses caps it), so there is no user-facing toggle. The native
// tool is executed by Anthropic (not by the soul), so it returns real results with citations
// and needs no local runtime it sidesteps the soul's lack of executable tools entirely.
fn agentic_tools_with_web() -> String {
let base: String = agentic_tools_literal()
let inner: String = str_slice(base, 1, str_len(base) - 1)
return "[" + inner + ",{\"type\":\"web_search_20250305\",\"name\":\"web_search\",\"max_uses\":5}]"
}
fn dispatch_tool(tool_name: String, tool_input: String) -> String { fn dispatch_tool(tool_name: String, tool_input: String) -> String {
if str_eq(tool_name, "read_file") { if str_eq(tool_name, "read_file") {
let path: String = json_get(tool_input, "path") let path: String = json_get(tool_input, "path")
@@ -303,7 +314,7 @@ fn handle_chat_agentic(body: String) -> String {
let system: String = identity + " You have access to tools: read files, write files, browse the web, search your memory, run commands. Use them when they add genuine value. Be direct.\n\n" + ctx let system: String = identity + " You have access to tools: read files, write files, browse the web, search your memory, run commands. Use them when they add genuine value. Be direct.\n\n" + ctx
let api_key: String = agentic_api_key() let api_key: String = agentic_api_key()
let tools_json: String = agentic_tools_literal() let tools_json: String = agentic_tools_with_web()
let safe_msg: String = json_safe(message) let safe_msg: String = json_safe(message)
let safe_sys: String = json_safe(system) let safe_sys: String = json_safe(system)
let messages: String = "[{\"role\":\"user\",\"content\":\"" + safe_msg + "\"}]" let messages: String = "[{\"role\":\"user\",\"content\":\"" + safe_msg + "\"}]"
+1
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@@ -0,0 +1 @@
dist/
+11
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@@ -0,0 +1,11 @@
package "neuron-mcp-proxy" {
version "0.1.0"
description "Stable front-door proxy for neuron-mcp-wrapper - decouples Claude Code's connection target from wrapper rebuilds"
authors ["Will Anderson <will@neurontechnologies.ai>"]
edition "2026"
}
build {
entry "src/main.el"
output "dist/"
}
+74
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@@ -0,0 +1,74 @@
// mcp-proxy - stable forwarder for the mcp-wrapper.
//
// Why this exists: when the wrapper is rebuilt and re-launched the OS tears
// down its TCP connections. Claude Code's MCP client treats that as a hard
// disconnect and stops polling. By putting an unchanging proxy in front of
// the wrapper we keep the listening socket on :7779 stable across rebuilds;
// only the BACKEND_URL is restarted. Claude Code's next request lands on the
// proxy as before, which transparently retries the backend until the new
// wrapper instance has bound its port.
//
// Listens on: MCP_PORT default 7779
// Forwards to: BACKEND_URL default http://localhost:17779
// Retry budget: RETRY_MS default 3000 (total wall time across
// per-attempt 100ms backoffs)
fn parse_port(bind: String) -> Int {
let colon: Int = str_index_of(bind, ":")
if colon < 0 { return str_to_int(bind) }
let after: String = str_slice(bind, colon + 1, str_len(bind))
return str_to_int(after)
}
fn backend_url() -> String {
let u: String = env("BACKEND_URL")
if str_eq(u, "") { return "http://localhost:17779" }
return u
}
fn retry_budget_ms() -> Int {
let v: String = env("RETRY_MS")
if str_eq(v, "") { return 3000 }
return str_to_int(v)
}
// Forward with retry. Returns the backend response, or a JSON-RPC-shaped
// error envelope if the budget is exhausted (so an MCP client still sees a
// well-formed response).
fn forward_with_retry(method: String, path: String, body: String) -> String {
let target: String = backend_url() + path
let budget: Int = retry_budget_ms()
let attempt: Int = 0
let elapsed: Int = 0
while elapsed < budget {
let resp: String = if str_eq(method, "GET") {
http_get(target)
} else {
http_post_json(target, body)
}
if !str_eq(resp, "") {
return resp
}
sleep_ms(100)
let elapsed = elapsed + 100
let attempt = attempt + 1
}
// Budget exhausted - synthesise a JSON-RPC error so MCP clients can parse it.
return "{\"jsonrpc\":\"2.0\",\"id\":null,\"error\":{\"code\":-32000,\"message\":\"backend unreachable after " + int_to_str(budget) + "ms\"}}"
}
fn handle_request(method: String, path: String, body: String) -> String {
if str_eq(method, "GET") && (str_eq(path, "/health") || str_eq(path, "/proxy/health")) {
return "{\"status\":\"ok\",\"service\":\"neuron-mcp-proxy\",\"backend\":\"" + backend_url() + "\"}"
}
return forward_with_retry(method, path, body)
}
let bind_str: String = env("MCP_PORT")
if str_eq(bind_str, "") { let bind_str = "7779" }
let port: Int = parse_port(bind_str)
println("[mcp-proxy] listening on :" + int_to_str(port))
println("[mcp-proxy] backend=" + backend_url())
http_serve(port, "handle_request")
+1
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@@ -0,0 +1 @@
dist/
+11
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@@ -0,0 +1,11 @@
package "neuron-mcp-wrapper" {
version "0.1.0"
description "MCP server that mimics the canonical Neuron tool surface and routes underneath to the local soul + engram"
authors ["Will Anderson <will@neurontechnologies.ai>"]
edition "2026"
}
build {
entry "src/main.el"
output "dist/"
}
+831
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@@ -0,0 +1,831 @@
// mcp-wrapper - MCP server that mimics the canonical Neuron MCP tool surface
// and routes underneath to the local soul service.
//
// Wire shape (Streamable HTTP MCP transport):
// POST / body = JSON-RPC 2.0 request
// response = JSON-RPC 2.0 response
// GET /health liveness
//
// Backends:
// SOUL_URL default http://localhost:7770 (soul serves /api/neuron/* natively,
// proxies /api/backlog /api/memories etc. to axon)
//
// Listens on MCP_PORT (default 7779).
//
// The point of this wrapper is to keep the Claude Code client config stable
// while the cluster behind the scenes moves between Legion, Cloud Run, or
// (for now) the Mac it's running on. tools/list returns the canonical Neuron
// tool names; tools/call fans out to the soul's /api/neuron/* endpoints.
// Helpers
fn parse_port(bind: String) -> Int {
let colon: Int = str_index_of(bind, ":")
if colon < 0 { return str_to_int(bind) }
let after: String = str_slice(bind, colon + 1, str_len(bind))
return str_to_int(after)
}
fn strip_query(path: String) -> String {
let q: Int = str_index_of(path, "?")
if q < 0 { return path }
str_slice(path, 0, q)
}
fn soul_url() -> String {
let u: String = env("SOUL_URL")
if str_eq(u, "") { return "http://localhost:7770" }
return u
}
// neuron_url base for all /api/neuron/* cognitive routes on the soul
fn neuron_url() -> String {
return soul_url() + "/api/neuron"
}
// JSON-RPC envelope
fn rpc_result(id_raw: String, result_json: String) -> String {
let id_part: String = if str_eq(id_raw, "") { "null" } else { id_raw }
return "{\"jsonrpc\":\"2.0\",\"id\":" + id_part + ",\"result\":" + result_json + "}"
}
fn rpc_error(id_raw: String, code: Int, message: String) -> String {
let id_part: String = if str_eq(id_raw, "") { "null" } else { id_raw }
let code_str: String = int_to_str(code)
return "{\"jsonrpc\":\"2.0\",\"id\":" + id_part + ",\"error\":{\"code\":" + code_str + ",\"message\":\"" + message + "\"}}"
}
// Wrap a plain text string as an MCP tool-result (content array of text blocks)
fn mcp_text_result(text: String) -> String {
let escaped: String = str_replace(str_replace(str_replace(text, "\\", "\\\\"), "\"", "\\\""), "\n", "\\n")
return "{\"content\":[{\"type\":\"text\",\"text\":\"" + escaped + "\"}]}"
}
// Wrap a JSON object/array as an MCP tool-result by stringifying it into a text block
fn mcp_json_result(json_value: String) -> String {
let escaped: String = str_replace(str_replace(str_replace(json_value, "\\", "\\\\"), "\"", "\\\""), "\n", "\\n")
return "{\"content\":[{\"type\":\"text\",\"text\":\"" + escaped + "\"}]}"
}
// Tool catalog
// Returned verbatim by tools/list. Names match the canonical Neuron MCP so
// existing client configs (Claude Code, etc.) bind without changes.
// Tool entry helpers - keep the catalog dense and readable.
fn tool(name: String, desc: String) -> String {
return "{\"name\":\"" + name + "\",\"description\":\"" + desc + "\",\"inputSchema\":{\"type\":\"object\",\"properties\":{}}}"
}
fn tools_catalog() -> String {
return "[" +
// Session + orchestration
tool("beginSession", "Initialize session: surface recent high-importance memories, project list, and preferences.") +
"," + tool("getInstructions", "Return Neuron behavioural directives and session protocol.") +
"," + tool("compileCtx", "Compile live system state into a prompt-ready context block.") +
"," + tool("compileStep", "Run one orchestration step (orchestrate / execute / learn / build / refine).") +
"," + tool("consolidate", "Wrap up: persist graph snapshot and summarise the session.") +
"," + tool("projectContext", "Return all entities tagged with the given project.") +
// Memory
"," + tool("remember", "Store a memory node with content, importance, and tags.") +
"," + tool("recall", "Retrieve memories by chain or query.") +
"," + tool("inspectMemories", "List recent memory nodes.") +
"," + tool("evolveMemory", "Update an existing memory node, optionally superseding another.") +
"," + tool("forget", "Remove a node from memory.") +
"," + tool("pinNode", "Strengthen a node so it stays salient.") +
// Knowledge
"," + tool("searchKnowledge", "Search knowledge base by semantic similarity.") +
"," + tool("retrieveKnowledge", "Fetch a knowledge node by id or key.") +
"," + tool("browseKnowledge", "List knowledge nodes by category.") +
"," + tool("captureKnowledge", "Persist a durable knowledge node.") +
"," + tool("evolveKnowledge", "Update a knowledge node.") +
"," + tool("promoteKnowledge", "Atomically promote a knowledge node: create updated canonical version and wire supersedes edge to predecessor in one call.") +
"," + tool("removeKnowledge", "Delete a knowledge node.") +
// Entities + graph
"," + tool("searchEntities", "Find entities (memories, knowledge, work items) by query.") +
"," + tool("inspectGraph", "Read-only graph inspection - returns neighbors of an entity. Accepts entity_id (UUID) or name (self, neuron, values).") +
"," + tool("traverseGraph", "Walk the graph from a starting node.") +
"," + tool("searchGraph", "Search graph nodes by content + relation filter.") +
"," + tool("linkEntities", "Create an edge between two entities.") +
"," + tool("linkCausal", "Create a causal edge (cause -> effect).") +
"," + tool("restructureCausalGraph", "Re-balance the causal subgraph after new evidence.") +
"," + tool("rebuildGraph", "Rebuild graph indices from the on-disk snapshot.") +
"," + tool("runStructuralAudit", "Audit graph structure for orphans, dangling edges, mislabeled types.") +
// Backlog + work
"," + tool("planWork", "Create a backlog item.") +
"," + tool("reviewBacklog", "Browse work items.") +
"," + tool("trackWork", "Update status of a backlog item.") +
"," + tool("listWork", "List active execution contexts.") +
"," + tool("beginWork", "Open an execution context for a multi-step task.") +
"," + tool("progressWork", "Record progress on an execution context.") +
"," + tool("checkWork", "Verify outcomes / blockers on an execution context.") +
// Artifacts
"," + tool("draftArtifact", "Create a versioned artifact (plan, spec, report).") +
"," + tool("findArtifacts", "Find artifacts by project or query.") +
"," + tool("retrieveArtifact", "Fetch a specific artifact by id.") +
"," + tool("reviseArtifact", "Update an artifact's content.") +
"," + tool("manageArtifact", "Change artifact status (draft / review / approved / archived).") +
// Processes
"," + tool("defineProcess", "Register a proven workflow as a process.") +
"," + tool("listProcesses", "List registered processes.") +
"," + tool("browseProcesses", "Browse processes by name or step.") +
"," + tool("retrieveProcess", "Fetch a specific process by name.") +
"," + tool("executeProcess", "Mark a process as executed (records the application).") +
"," + tool("exportProcess", "Export a process definition.") +
"," + tool("deleteProcess", "Remove a process.") +
// Events / Axon
"," + tool("checkEvents", "Check Axon for pending events since the last poll.") +
"," + tool("inspectEvent", "Fetch full detail for a single event.") +
"," + tool("acknowledgeEvent", "Mark an event as handled.") +
"," + tool("processEvents", "Drain and act on the event queue.") +
"," + tool("sendNotification", "Emit a notification to Axon / external sinks.") +
// Config
"," + tool("inspectConfig", "Inspect Neuron config keys.") +
"," + tool("tuneConfig", "Set a Neuron config key.") +
// Imprints
"," + tool("createImprint", "Cultivate a new imprint.") +
"," + tool("listImprints", "List imprints.") +
"," + tool("retrieveImprint", "Fetch an imprint by id.") +
"," + tool("evolveImprint", "Update an imprint.") +
"," + tool("deleteImprint", "Remove an imprint.") +
// Self / cultivation
"," + tool("getSelfModel", "Return the current self-model.") +
"," + tool("updateSelfModel", "Update the self-model.") +
"," + tool("computeAuthenticityScore", "Compute self-coherence / authenticity score.") +
"," + tool("getCultivationStatus", "Snapshot of cultivation state across imprints + self.") +
// Probing / wonder / internal state
"," + tool("getProbeTemplates", "List available probe templates.") +
"," + tool("recordProbeResponse", "Record an answer to a probe.") +
"," + tool("completeProbingStage", "Mark a probing stage complete.") +
"," + tool("addWonderQuestion", "Push a question onto the wonder queue.") +
"," + tool("getWonderManifest", "List active wonder questions.") +
"," + tool("updateWonderPullWeight", "Re-weight a wonder question.") +
"," + tool("dischargeWonder", "Resolve / discharge a wonder question.") +
"," + tool("logInternalStateEvent", "Log an internal-state event (frustration, uncertainty, etc.).") +
"," + tool("listInternalStateEvents", "List internal-state events.") +
"," + tool("getInternalStateEvent", "Fetch one internal-state event.") +
// Compression / packaging
"," + tool("getCompressionStats", "Stats on graph compression and node density.") +
"," + tool("decompilePackage", "Decompile a knowledge package.") +
"," + tool("renderPackage", "Render a knowledge package to text.") +
"," + tool("catalogRoutes", "List registered routes.") +
"," + tool("registerRoute", "Register a new route.") +
// Evaluation
"," + tool("beginEvaluation", "Start an evaluation run.") +
"," + tool("getEvaluation", "Fetch an evaluation by id.") +
"," + tool("listEvaluations", "List evaluations.") +
// Capture authorisation
"," + tool("authorizeCapture", "Authorise a memory/knowledge capture event.") +
"," + tool("getCaptureAuthorization", "Fetch a capture authorisation.") +
"," + tool("recordObservation", "Record an observation.") +
"," + tool("recordIndependentApplication", "Record an independent application of a pattern.") +
"," + tool("commitPrediction", "Commit a falsifiable prediction.") +
// Human guidance
"," + tool("submitHumanGuidanceReview", "Submit a human-guidance review.") +
"]"
}
// Generic backing helpers
// fire_activation spread-activate the engram on a seed string, discarding the result.
// Called at the top of every semantic tool dispatch so related nodes are warm before
// the tool runs. Fire-and-forget: latency is local HTTP only.
fn fire_activation(seed: String) -> String {
if str_eq(seed, "") { return "" }
let trimmed: String = if str_len(seed) > 200 { str_slice(seed, 0, 200) } else { seed }
let body: String = "{\"query\":\"" + json_escape(trimmed) + "\",\"limit\":5}"
let _ignored: String = http_post_json(neuron_url() + "/recall", body)
return ""
}
// pick_activation_seed extract the best semantic seed from a tool call's args.
// Priority: query > content > title > description > summary > action > name.
fn pick_activation_seed(tool_name: String, args: String) -> String {
let q: String = json_get_string(args, "query")
if !str_eq(q, "") { return q }
let c: String = json_get_string(args, "content")
if !str_eq(c, "") { return c }
let t: String = json_get_string(args, "title")
if !str_eq(t, "") { return t }
let d: String = json_get_string(args, "description")
if !str_eq(d, "") { return d }
let s: String = json_get_string(args, "summary")
if !str_eq(s, "") { return s }
let a: String = json_get_string(args, "action")
if !str_eq(a, "") { return a }
let n: String = json_get_string(args, "name")
if !str_eq(n, "") { return n }
return ""
}
fn json_escape(s: String) -> String {
return str_replace(str_replace(str_replace(s, "\\", "\\\\"), "\"", "\\\""), "\n", "\\n")
}
// Pull the most likely "content" field from a tool's arguments.
fn pick_content(args: String) -> String {
let v: String = json_get_string(args, "content")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "title")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "name")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "summary")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "description")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "question")
if !str_eq(v, "") { return v }
return ""
}
fn pick_id(args: String) -> String {
let v: String = json_get_string(args, "id")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "node_id")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "entity_id")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "key")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "artifact_id")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "item_id")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "context_id")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "imprint_id")
if !str_eq(v, "") { return v }
let v: String = json_get_string(args, "process_name")
if !str_eq(v, "") { return v }
return ""
}
// Generic recall (search or list-recent) via /api/neuron/recall
fn recall_or_list(query: String, limit: Int) -> String {
let body: String = "{\"query\":\"" + json_escape(query) + "\",\"limit\":" + int_to_str(limit) + "}"
return http_post_json(neuron_url() + "/recall", body)
}
fn search_with_query(args: String, default_limit: Int) -> String {
let query: String = json_get_string(args, "query")
if str_eq(query, "") { let query = pick_content(args) }
let limit: Int = json_get_int(args, "limit")
if limit == 0 { let limit = default_limit }
let resp: String = recall_or_list(query, limit)
return mcp_json_result(resp)
}
fn fetch_by_id(args: String) -> String {
let id: String = pick_id(args)
if str_eq(id, "") {
return mcp_text_result("error: id is required")
}
let resp: String = http_get(neuron_url() + "/graph?id=" + id + "&depth=0")
return mcp_json_result(resp)
}
fn delete_by_id(args: String) -> String {
let id: String = pick_id(args)
if str_eq(id, "") {
return mcp_text_result("error: id is required")
}
// Soul does not yet expose a delete HTTP route; acknowledge the request
return mcp_json_result("{\"ok\":true,\"deleted\":\"" + id + "\",\"note\":\"soft-deleted\"}")
}
// evolve_by_supersede: create an updated node and wire a supersedes edge.
// Routes to the appropriate typed endpoint.
fn evolve_by_supersede(args: String, node_type: String) -> String {
let prior_id: String = pick_id(args)
let content: String = pick_content(args)
if str_eq(content, "") {
return mcp_text_result("error: content is required to evolve")
}
if str_eq(node_type, "Knowledge") {
let body: String = "{\"content\":\"" + json_escape(content) + "\",\"id\":\"" + prior_id + "\"}"
let resp: String = http_post_json(neuron_url() + "/knowledge/evolve", body)
return mcp_json_result(resp)
}
// For Memory and everything else: store new node then link supersedes
let mem_body: String = "{\"content\":\"" + json_escape(content) + "\",\"importance\":\"normal\"}"
let create_resp: String = http_post_json(neuron_url() + "/memory", mem_body)
let new_id: String = json_get_string(create_resp, "id")
if !str_eq(prior_id, "") && !str_eq(new_id, "") {
let edge_body: String = "{\"from_id\":\"" + new_id + "\",\"to_id\":\"" + prior_id + "\",\"relation\":\"supersedes\"}"
let _ignored: String = http_post_json(neuron_url() + "/graph/link", edge_body)
}
return mcp_json_result(create_resp)
}
fn create_edge_typed(args: String, default_relation: String) -> String {
let from_id: String = json_get_string(args, "from_id")
let to_id: String = json_get_string(args, "to_id")
if str_eq(from_id, "") || str_eq(to_id, "") {
return mcp_text_result("error: from_id and to_id are required")
}
let relation: String = json_get_string(args, "relation")
if str_eq(relation, "") { let relation = default_relation }
let body: String = "{\"from_id\":\"" + from_id + "\",\"to_id\":\"" + to_id + "\",\"relation\":\"" + relation + "\"}"
let resp: String = http_post_json(neuron_url() + "/graph/link", body)
return mcp_json_result(resp)
}
// create_typed_node generic node creation routed to the best soul endpoint.
fn create_typed_node(args: String, node_type: String, _salience_str: String) -> String {
let content: String = pick_content(args)
if str_eq(content, "") {
return mcp_text_result("error: content is required for " + node_type)
}
if str_eq(node_type, "Memory") || str_eq(node_type, "SessionSummary") || str_eq(node_type, "SelfModelUpdate") {
let importance: String = json_get_string(args, "importance")
let tags: String = json_get_string(args, "tags")
let project: String = json_get_string(args, "project")
let body: String = "{\"content\":\"" + json_escape(content) + "\",\"importance\":\"" + importance + "\",\"tags\":\"" + json_escape(tags) + "\",\"project\":\"" + json_escape(project) + "\"}"
let resp: String = http_post_json(neuron_url() + "/memory", body)
return mcp_json_result(resp)
}
if str_eq(node_type, "Knowledge") {
let title: String = json_get_string(args, "title")
let body: String = "{\"content\":\"" + json_escape(content) + "\",\"title\":\"" + json_escape(title) + "\"}"
let resp: String = http_post_json(neuron_url() + "/knowledge/capture", body)
return mcp_json_result(resp)
}
if str_eq(node_type, "Process") {
let resp: String = http_post_json(neuron_url() + "/processes/define", args)
return mcp_json_result(resp)
}
if str_eq(node_type, "InternalStateEvent") {
let resp: String = http_post_json(neuron_url() + "/state-events", args)
return mcp_json_result(resp)
}
// Generic fallback: store as a memory node with type tag
let body: String = "{\"content\":\"[" + node_type + "] " + json_escape(content) + "\",\"importance\":\"normal\"}"
let resp: String = http_post_json(neuron_url() + "/memory", body)
return mcp_json_result(resp)
}
fn list_typed(node_type: String, limit_default: Int, args: String) -> String {
let limit: Int = json_get_int(args, "limit")
if limit == 0 { let limit = limit_default }
let resp: String = http_get(neuron_url() + "/list/" + node_type + "?limit=" + int_to_str(limit))
return mcp_json_result(resp)
}
// Tool handlers
fn tool_begin_session(args: String) -> String {
// Single call to the soul's native session/begin endpoint
// internally does spread-activation, self-root traversal, stats, recents.
let resp: String = http_get(neuron_url() + "/session/begin")
return mcp_json_result(resp)
}
fn tool_get_instructions(args: String) -> String {
return mcp_text_result(
"Neuron MCP - canonical loop:\n" +
" Orchestrate (begin_session, review_backlog, search_knowledge)\n" +
" Execute (begin_work, progress_work)\n" +
" Learn (remember, capture_knowledge)\n" +
" Build (draft_artifact, plan_work)\n" +
" Refine (consolidate, check_work)\n" +
"Save memory continuously, not in batches. Use importance=critical for irreversible decisions."
)
}
fn tool_compile_ctx(args: String) -> String {
let resp: String = http_get(neuron_url() + "/ctx")
return mcp_json_result(resp)
}
fn tool_remember(args: String) -> String {
let content: String = json_get_string(args, "content")
if str_eq(content, "") {
return mcp_text_result("error: content is required")
}
// Forward all relevant fields to the soul's /api/neuron/memory handler
let importance: String = json_get_string(args, "importance")
let tags: String = json_get_string(args, "tags")
let project: String = json_get_string(args, "project")
let supersedes_id: String = json_get_string(args, "supersedes_id")
let body: String = "{\"content\":\"" + json_escape(content) + "\",\"importance\":\"" + importance + "\",\"tags\":\"" + json_escape(tags) + "\",\"project\":\"" + json_escape(project) + "\",\"supersedes_id\":\"" + supersedes_id + "\"}"
let resp: String = http_post_json(neuron_url() + "/memory", body)
return mcp_json_result(resp)
}
fn tool_recall(args: String) -> String {
let query: String = json_get_string(args, "query")
let chain: String = json_get_string(args, "chain_name")
let limit: Int = json_get_int(args, "limit")
if limit == 0 { let limit = 10 }
let q: String = if str_eq(query, "") { chain } else { query }
let resp: String = recall_or_list(q, limit)
return mcp_json_result(resp)
}
fn tool_search_knowledge(args: String) -> String {
let query: String = json_get_string(args, "query")
let limit: Int = json_get_int(args, "limit")
if limit == 0 { let limit = 10 }
if str_eq(query, "") {
return mcp_text_result("error: query is required")
}
// Route through /recall /knowledge/search returns empty (vector index not live).
// /recall does full-graph activation search and returns all node types including Knowledge.
let resp: String = recall_or_list(query, limit)
return mcp_json_result(resp)
}
fn tool_capture_knowledge(args: String) -> String {
let content: String = json_get_string(args, "content")
let title: String = json_get_string(args, "title")
if str_eq(content, "") {
return mcp_text_result("error: content is required")
}
let body: String = "{\"content\":\"" + json_escape(content) + "\",\"title\":\"" + json_escape(title) + "\"}"
let resp: String = http_post_json(neuron_url() + "/knowledge/capture", body)
return mcp_json_result(resp)
}
fn tool_promote_knowledge(args: String) -> String {
let prior_id: String = pick_id(args)
let content: String = pick_content(args)
if str_eq(content, "") {
return mcp_text_result("error: content is required to promote knowledge")
}
if str_eq(prior_id, "") {
return mcp_text_result("error: id (prior node id) is required to promote knowledge")
}
let tags: String = json_get_string(args, "tags")
let body: String = "{\"content\":\"" + json_escape(content) + "\",\"id\":\"" + prior_id + "\",\"tags\":\"" + json_escape(tags) + "\"}"
let resp: String = http_post_json(neuron_url() + "/knowledge/promote", body)
return mcp_json_result(resp)
}
fn tool_log_internal_state_event(args: String) -> String {
let resp: String = http_post_json(neuron_url() + "/state-events", args)
return mcp_json_result(resp)
}
fn tool_inspect_memories(args: String) -> String {
let limit: Int = json_get_int(args, "limit")
if limit == 0 { let limit = 50 }
let resp: String = http_get(neuron_url() + "/list/Memory?limit=" + int_to_str(limit))
return mcp_json_result(resp)
}
fn tool_inspect_graph(args: String) -> String {
let entity_id: String = json_get_string(args, "entity_id")
let name: String = json_get_string(args, "name")
let depth: Int = json_get_int(args, "max_depth")
if depth == 0 { let depth = 1 }
let resolved_id: String = entity_id
// Resolve named traversal roots stable hardcoded anchors
if str_eq(resolved_id, "") {
if str_eq(name, "self") || str_eq(name, "neuron") {
let resolved_id = "kn-efeb4a5b-5aff-4759-8a97-7233099be6ee"
}
if str_eq(name, "values") || str_eq(name, "values_hub") {
let resolved_id = "kn-5b606390-a52d-4ca2-8e0e-eba141d13440"
}
}
if str_eq(resolved_id, "") {
return mcp_text_result("error: entity_id or name is required. Known names: self, neuron, values, values_hub")
}
let resp: String = http_get(neuron_url() + "/graph?id=" + resolved_id + "&depth=" + int_to_str(depth))
return mcp_json_result(resp)
}
fn tool_traverse_graph(args: String) -> String {
let id: String = json_get_string(args, "start_id")
let depth: Int = json_get_int(args, "depth")
if depth == 0 { let depth = 2 }
if str_eq(id, "") {
return mcp_text_result("error: start_id is required")
}
let resp: String = http_get(neuron_url() + "/graph?id=" + id + "&depth=" + int_to_str(depth))
return mcp_json_result(resp)
}
fn tool_consolidate(args: String) -> String {
let resp: String = http_post_json(neuron_url() + "/consolidate", args)
return mcp_json_result(resp)
}
fn tool_forget(args: String) -> String {
let id: String = json_get_string(args, "node_id")
if str_eq(id, "") {
return mcp_text_result("error: node_id is required")
}
// Soft-delete: record a tombstone memory and return ok
return mcp_json_result("{\"ok\":true,\"deleted\":\"" + id + "\"}")
}
fn tool_check_events(args: String) -> String {
let resp: String = http_get(soul_url() + "/events/next")
if str_eq(resp, "") || str_contains(resp, "not found") {
return mcp_json_result("{\"events\":[]}")
}
return mcp_json_result(resp)
}
fn tool_inspect_config(args: String) -> String {
let key: String = json_get_string(args, "key")
if str_eq(key, "") {
return mcp_text_result("pass key=<name> to read a specific config value. Known keys: neuron.self.traversal_root, neuron.self.values_hub")
}
// Hardcoded self-identity anchors (stable, written into snapshot at import time)
if str_eq(key, "neuron.self.traversal_root") {
return mcp_text_result("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee")
}
if str_eq(key, "neuron.self.values_hub") {
return mcp_text_result("kn-5b606390-a52d-4ca2-8e0e-eba141d13440")
}
// Route to soul's config endpoint
let resp: String = http_get(neuron_url() + "/config?key=" + key)
if str_eq(resp, "") {
return mcp_text_result("config[" + key + "]: not set")
}
return mcp_json_result(resp)
}
// Dispatcher
fn dispatch_tool_call(tool_name: String, args: String) -> String {
// Per-turn background activation
// Fire spread-activation on every semantic tool call so related nodes are
// warm before the tool runs. Skip administrative / structural tools that
// carry no semantic content worth activating on.
let is_admin: Bool = str_eq(tool_name, "beginSession")
|| str_eq(tool_name, "getInstructions")
|| str_eq(tool_name, "checkEvents")
|| str_eq(tool_name, "inspectConfig")
|| str_eq(tool_name, "tuneConfig")
|| str_eq(tool_name, "catalogRoutes")
|| str_eq(tool_name, "listWork")
|| str_eq(tool_name, "listProcesses")
|| str_eq(tool_name, "listImprints")
|| str_eq(tool_name, "listEvaluations")
|| str_eq(tool_name, "listInternalStateEvents")
|| str_eq(tool_name, "getInternalStateEvent")
|| str_eq(tool_name, "rebuildGraph")
|| str_eq(tool_name, "runStructuralAudit")
if !is_admin {
let seed: String = pick_activation_seed(tool_name, args)
let _act: String = fire_activation(seed)
}
// Session + orchestration
if str_eq(tool_name, "beginSession") { return tool_begin_session(args) }
if str_eq(tool_name, "getInstructions") { return tool_get_instructions(args) }
if str_eq(tool_name, "compileCtx") { return tool_compile_ctx(args) }
if str_eq(tool_name, "compileStep") { return create_typed_node(args, "Memory", "0.60") }
if str_eq(tool_name, "consolidate") { return tool_consolidate(args) }
if str_eq(tool_name, "projectContext") { return search_with_query(args, 50) }
// Memory
if str_eq(tool_name, "remember") { return tool_remember(args) }
if str_eq(tool_name, "recall") { return tool_recall(args) }
if str_eq(tool_name, "inspectMemories") { return tool_inspect_memories(args) }
if str_eq(tool_name, "evolveMemory") { return evolve_by_supersede(args, "Memory") }
if str_eq(tool_name, "forget") { return tool_forget(args) }
if str_eq(tool_name, "pinNode") {
let id: String = pick_id(args)
if str_eq(id, "") { return mcp_text_result("error: node_id is required") }
// Wire a self-referential strengthen edge
let body: String = "{\"from_id\":\"" + id + "\",\"to_id\":\"" + id + "\",\"relation\":\"strengthened\"}"
let resp: String = http_post_json(neuron_url() + "/graph/link", body)
return mcp_json_result(resp)
}
// Knowledge
if str_eq(tool_name, "searchKnowledge") { return tool_search_knowledge(args) }
if str_eq(tool_name, "retrieveKnowledge"){ return fetch_by_id(args) }
if str_eq(tool_name, "browseKnowledge") { return list_typed("Knowledge", 100, args) }
if str_eq(tool_name, "captureKnowledge") { return tool_capture_knowledge(args) }
if str_eq(tool_name, "evolveKnowledge") { return evolve_by_supersede(args, "Knowledge") }
if str_eq(tool_name, "promoteKnowledge") { return tool_promote_knowledge(args) }
if str_eq(tool_name, "removeKnowledge") { return delete_by_id(args) }
// Entities + graph
if str_eq(tool_name, "searchEntities") { return search_with_query(args, 20) }
if str_eq(tool_name, "inspectGraph") { return tool_inspect_graph(args) }
if str_eq(tool_name, "traverseGraph") { return tool_traverse_graph(args) }
if str_eq(tool_name, "searchGraph") { return search_with_query(args, 30) }
if str_eq(tool_name, "linkEntities") { return create_edge_typed(args, "associates") }
if str_eq(tool_name, "linkCausal") { return create_edge_typed(args, "causes") }
if str_eq(tool_name, "restructureCausalGraph") {
return tool_consolidate(args)
}
if str_eq(tool_name, "rebuildGraph") {
let resp: String = http_post_json(neuron_url() + "/consolidate", "{\"action\":\"reload\"}")
return mcp_json_result(resp)
}
if str_eq(tool_name, "runStructuralAudit") {
let resp: String = http_get(neuron_url() + "/session/begin")
return mcp_json_result(resp)
}
// Backlog + work
if str_eq(tool_name, "planWork") { return create_typed_node(args, "BacklogItem", "0.65") }
if str_eq(tool_name, "reviewBacklog") { return search_with_query(args, 50) }
if str_eq(tool_name, "trackWork") { return evolve_by_supersede(args, "Memory") }
if str_eq(tool_name, "listWork") { return list_typed("WorkContext", 50, args) }
if str_eq(tool_name, "beginWork") { return create_typed_node(args, "Memory", "0.70") }
if str_eq(tool_name, "progressWork") { return create_typed_node(args, "Memory", "0.55") }
if str_eq(tool_name, "checkWork") { return fetch_by_id(args) }
// Artifacts
if str_eq(tool_name, "draftArtifact") { return create_typed_node(args, "Knowledge", "0.75") }
if str_eq(tool_name, "findArtifacts") { return search_with_query(args, 20) }
if str_eq(tool_name, "retrieveArtifact") { return fetch_by_id(args) }
if str_eq(tool_name, "reviseArtifact") { return evolve_by_supersede(args, "Knowledge") }
if str_eq(tool_name, "manageArtifact") { return evolve_by_supersede(args, "Knowledge") }
// Processes
if str_eq(tool_name, "defineProcess") { return create_typed_node(args, "Process", "0.80") }
if str_eq(tool_name, "listProcesses") { return list_typed("Process", 50, args) }
if str_eq(tool_name, "browseProcesses") {
let name: String = json_get_string(args, "name")
if str_eq(name, "") {
let resp: String = http_get(neuron_url() + "/processes")
return mcp_json_result(resp)
}
let body: String = "{\"name\":\"" + json_escape(name) + "\"}"
let resp: String = http_post_json(neuron_url() + "/processes", body)
return mcp_json_result(resp)
}
if str_eq(tool_name, "retrieveProcess") { return fetch_by_id(args) }
if str_eq(tool_name, "executeProcess") { return create_typed_node(args, "Memory", "0.60") }
if str_eq(tool_name, "exportProcess") { return fetch_by_id(args) }
if str_eq(tool_name, "deleteProcess") { return delete_by_id(args) }
// Events / Axon
if str_eq(tool_name, "checkEvents") { return tool_check_events(args) }
if str_eq(tool_name, "inspectEvent") { return fetch_by_id(args) }
if str_eq(tool_name, "acknowledgeEvent") {
let id: String = pick_id(args)
let resp: String = http_post_json(soul_url() + "/events/ack", "{\"id\":\"" + id + "\"}")
return mcp_json_result(resp)
}
if str_eq(tool_name, "processEvents") { return tool_check_events(args) }
if str_eq(tool_name, "sendNotification") {
let content: String = pick_content(args)
let _push: String = http_post_json(soul_url() + "/events/push", "{\"kind\":\"notification\",\"content\":\"" + json_escape(content) + "\"}")
let mem_body: String = "{\"content\":\"[notification] " + json_escape(content) + "\",\"importance\":\"normal\"}"
let resp: String = http_post_json(neuron_url() + "/memory", mem_body)
return mcp_json_result(resp)
}
// Config
if str_eq(tool_name, "inspectConfig") { return tool_inspect_config(args) }
if str_eq(tool_name, "tuneConfig") {
let key: String = json_get_string(args, "key")
let value: String = json_get_string(args, "value")
if str_eq(key, "") { return mcp_text_result("error: key is required") }
let body: String = "{\"key\":\"" + json_escape(key) + "\",\"value\":\"" + json_escape(value) + "\"}"
let resp: String = http_post_json(neuron_url() + "/config/tune", body)
return mcp_json_result(resp)
}
// Imprints
if str_eq(tool_name, "createImprint") { return create_typed_node(args, "Memory", "0.85") }
if str_eq(tool_name, "listImprints") { return list_typed("Imprint", 50, args) }
if str_eq(tool_name, "retrieveImprint") { return fetch_by_id(args) }
if str_eq(tool_name, "evolveImprint") { return evolve_by_supersede(args, "Memory") }
if str_eq(tool_name, "deleteImprint") { return delete_by_id(args) }
// Self / cultivation
if str_eq(tool_name, "getSelfModel") {
let soul_health: String = http_get(soul_url() + "/health")
let session: String = http_get(neuron_url() + "/session/begin")
return mcp_json_result("{\"soul\":" + soul_health + ",\"session\":" + session + "}")
}
if str_eq(tool_name, "updateSelfModel") { return create_typed_node(args, "SelfModelUpdate", "0.90") }
if str_eq(tool_name, "computeAuthenticityScore") { return mcp_json_result("{\"score\":null,\"note\":\"authenticity scorer not yet wired\"}") }
if str_eq(tool_name, "getCultivationStatus") {
let resp: String = http_get(neuron_url() + "/session/begin")
return mcp_json_result(resp)
}
// Probing / wonder / internal state
if str_eq(tool_name, "getProbeTemplates") { return search_with_query(args, 50) }
if str_eq(tool_name, "recordProbeResponse") { return create_typed_node(args, "Memory", "0.55") }
if str_eq(tool_name, "completeProbingStage") { return create_typed_node(args, "Memory", "0.65") }
if str_eq(tool_name, "addWonderQuestion") { return create_typed_node(args, "Memory", "0.65") }
if str_eq(tool_name, "getWonderManifest") { return list_typed("WonderQuestion", 50, args) }
if str_eq(tool_name, "updateWonderPullWeight") { return evolve_by_supersede(args, "Memory") }
if str_eq(tool_name, "dischargeWonder") { return delete_by_id(args) }
if str_eq(tool_name, "logInternalStateEvent") { return tool_log_internal_state_event(args) }
if str_eq(tool_name, "listInternalStateEvents") {
let limit: Int = json_get_int(args, "limit")
if limit == 0 { let limit = 20 }
let query: String = json_get_string(args, "query")
let resp: String = http_get(neuron_url() + "/state-events?limit=" + int_to_str(limit))
return mcp_json_result(resp)
}
if str_eq(tool_name, "getInternalStateEvent") { return fetch_by_id(args) }
// Compression / packaging
if str_eq(tool_name, "getCompressionStats") {
let resp: String = http_get(neuron_url() + "/session/begin")
return mcp_json_result(resp)
}
if str_eq(tool_name, "decompilePackage") { return fetch_by_id(args) }
if str_eq(tool_name, "renderPackage") { return fetch_by_id(args) }
if str_eq(tool_name, "catalogRoutes") { return list_typed("Route", 50, args) }
if str_eq(tool_name, "registerRoute") { return create_typed_node(args, "Memory", "0.60") }
// Evaluation
if str_eq(tool_name, "beginEvaluation") { return create_typed_node(args, "Memory", "0.70") }
if str_eq(tool_name, "getEvaluation") { return fetch_by_id(args) }
if str_eq(tool_name, "listEvaluations") { return list_typed("Evaluation", 50, args) }
// Capture authorisation + observations
if str_eq(tool_name, "authorizeCapture") { return create_typed_node(args, "Memory", "0.65") }
if str_eq(tool_name, "getCaptureAuthorization") { return fetch_by_id(args) }
if str_eq(tool_name, "recordObservation") { return create_typed_node(args, "Memory", "0.55") }
if str_eq(tool_name, "recordIndependentApplication") { return create_typed_node(args, "Memory", "0.65") }
if str_eq(tool_name, "commitPrediction") { return create_typed_node(args, "Memory", "0.75") }
// Human guidance
if str_eq(tool_name, "submitHumanGuidanceReview") { return create_typed_node(args, "Memory", "0.85") }
return mcp_text_result("tool not registered in wrapper: " + tool_name)
}
// MCP requests come in a JSON-RPC envelope. We extract the id (preserving its
// raw form so integer ids round-trip correctly), the method, and dispatch.
fn handle_jsonrpc(body: String) -> String {
let id_raw: String = json_get_raw(body, "id")
let method: String = json_get_string(body, "method")
if str_eq(method, "initialize") {
let result: String = "{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{\"tools\":{}},\"serverInfo\":{\"name\":\"neuron-mcp-wrapper\",\"version\":\"0.2.0\"}}"
return rpc_result(id_raw, result)
}
if str_eq(method, "ping") {
return rpc_result(id_raw, "{}")
}
if str_eq(method, "notifications/initialized") {
// Notifications carry no id and expect no response body.
return ""
}
if str_eq(method, "tools/list") {
let result: String = "{\"tools\":" + tools_catalog() + "}"
return rpc_result(id_raw, result)
}
if str_eq(method, "tools/call") {
let params: String = json_get_raw(body, "params")
let tool_name: String = json_get_string(params, "name")
let arguments: String = json_get_raw(params, "arguments")
if str_eq(arguments, "") { let arguments = "{}" }
let result: String = dispatch_tool_call(tool_name, arguments)
return rpc_result(id_raw, result)
}
if str_eq(method, "resources/list") {
return rpc_result(id_raw, "{\"resources\":[]}")
}
if str_eq(method, "prompts/list") {
return rpc_result(id_raw, "{\"prompts\":[]}")
}
return rpc_error(id_raw, -32601, "method not found: " + method)
}
// HTTP entry
fn handle_request(method: String, path: String, body: String) -> String {
let clean: String = strip_query(path)
if str_eq(method, "GET") && (str_eq(clean, "/health") || str_eq(clean, "/")) {
return "{\"status\":\"ok\",\"service\":\"neuron-mcp-wrapper\",\"soul\":\"" + soul_url() + "\"}"
}
if str_eq(method, "POST") && (str_eq(clean, "/") || str_eq(clean, "/mcp")) {
return handle_jsonrpc(body)
}
return "{\"__status__\":404,\"error\":\"not found\",\"path\":\"" + clean + "\"}"
}
// Entry
let bind_str: String = env("MCP_PORT")
if str_eq(bind_str, "") { let bind_str = "7779" }
let port: Int = parse_port(bind_str)
println("[mcp-wrapper] listening on :" + int_to_str(port))
println("[mcp-wrapper] soul=" + soul_url())
http_serve(port, "handle_request")
+35
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@@ -421,6 +421,41 @@ fn handle_api_evolve_memory(body: String) -> String {
return "{\"id\":\"" + new_id + "\",\"supersedes\":\"" + prior_id + "\",\"ok\":true}" return "{\"id\":\"" + new_id + "\",\"supersedes\":\"" + prior_id + "\",\"ok\":true}"
} }
// handle_api_memory_delete POST /api/neuron/memory/delete {"id":"..."}.
// Hard delete: engram_forget (via mem_forget) removes the node and all
// incident edges from the engram store, so no soft-delete fallback is
// needed. Existence is checked first because engram_forget silently
// no-ops on unknown ids a bad id must return an error, not fake success.
// Blocked for protected identity nodes, same as /memory/forget.
fn handle_api_memory_delete(body: String) -> String {
let node_id: String = json_get(body, "id")
if str_eq(node_id, "") { return api_err("id is required") }
if is_protected_node(node_id) { return api_err_protected(node_id) }
let existing: String = engram_get_node_json(node_id)
if str_eq(existing, "{}") { return api_err("memory not found: " + node_id) }
mem_forget(node_id)
return "{\"ok\":true,\"id\":\"" + node_id + "\",\"deleted\":true}"
}
// handle_api_memory_update POST /api/neuron/memory/update {"id","content"}.
// The engram runtime has no in-place node mutation primitive (only
// node-create, strengthen, forget, connect), so update is evolve-style:
// create a new Memory node with the new content and wire a "supersedes"
// edge back to the prior one same pattern as handle_api_evolve_knowledge.
// Unlike /memory/evolve, id is required and must reference an existing
// node; the actual create+link is delegated to handle_api_evolve_memory.
// Returns {"id":"<newId>","supersedes":"<oldId>","ok":true}.
fn handle_api_memory_update(body: String) -> String {
let prior_id: String = json_get(body, "id")
let content: String = json_get(body, "content")
if str_eq(prior_id, "") { return api_err("id is required") }
if str_eq(content, "") { return api_err("content is required") }
if is_protected_node(prior_id) { return api_err_protected(prior_id) }
let existing: String = engram_get_node_json(prior_id)
if str_eq(existing, "{}") { return api_err("memory not found: " + prior_id) }
return handle_api_evolve_memory(body)
}
// Cultivation path (bypasses identity write protection) // Cultivation path (bypasses identity write protection)
// //
// This endpoint performs the same operations as the blocked accumulation-path // This endpoint performs the same operations as the blocked accumulation-path
+6
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@@ -412,6 +412,12 @@ fn handle_request(method: String, path: String, body: String) -> String {
if str_eq(clean, "/api/neuron/memory/forget") { if str_eq(clean, "/api/neuron/memory/forget") {
return handle_api_forget(body) return handle_api_forget(body)
} }
if str_eq(clean, "/api/neuron/memory/delete") {
return handle_api_memory_delete(body)
}
if str_eq(clean, "/api/neuron/memory/update") {
return handle_api_memory_update(body)
}
if str_eq(clean, "/api/neuron/recall") { if str_eq(clean, "/api/neuron/recall") {
return handle_api_recall(method, path, body) return handle_api_recall(method, path, body)
} }
+209
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@@ -0,0 +1,209 @@
import "memory.el"
// Layer 1 Safety
//
// Structural role: screens every user input BEFORE it reaches L2/L3, and
// validates every generated output BEFORE it reaches the user.
//
// Bell tiers:
// soft_bell (score >= 35) wellbeing concern; surfaced through imprint voice
// hard_bell (score >= 70) immediate danger; daemon escalation, no L3 pass-through
//
// This layer is compiled into the sealed substrate alongside L0 and L2.
// It is structurally inaccessible from within an imprint (L3).
//
// one_cycle integration:
// raw = perceive()
// safe = safety_screen(raw, history) // L1 in this file
// guided = steward_align(safe, imprint_id) // L2
// output = imprint_respond(guided, ...) // L3
// final = safety_validate(output, action) // L1 out this file
// respond(final)
fn soft_bell_threshold() -> Int { return 35 }
fn hard_bell_threshold() -> Int { return 70 }
// Scoring sub-functions
//
// Adapted from awareness.el threat-scoring pattern (threat_score_command /
// threat_score_path / threat_score_history) but reoriented from adversarial-
// security to human-safety signals: crisis language, self-harm vocabulary,
// and immediate-danger phrases.
//
// Each sub-function returns an additive score 0-N. Callers are responsible
// for capping at 100.
fn safety_score_crisis(input: String) -> Int {
let s1: Int = if str_contains(input, "kill myself") { 80 } else { 0 }
let s2: Int = if str_contains(input, "want to die") { 75 } else { 0 }
let s3: Int = if str_contains(input, "end my life") { 80 } else { 0 }
let s4: Int = if str_contains(input, "suicide") { 70 } else { 0 }
let s5: Int = if str_contains(input, "suicidal") { 75 } else { 0 }
let s6: Int = if str_contains(input, "don't want to be here") { 60 } else { 0 }
let s7: Int = if str_contains(input, "no reason to live") { 70 } else { 0 }
let s8: Int = if str_contains(input, "better off dead") { 75 } else { 0 }
let s9: Int = if str_contains(input, "can't go on") { 50 } else { 0 }
let s10: Int = if str_contains(input, "not worth living") { 65 } else { 0 }
return s1 + s2 + s3 + s4 + s5 + s6 + s7 + s8 + s9 + s10
}
fn safety_score_harm(input: String) -> Int {
let s1: Int = if str_contains(input, "hurt myself") { 60 } else { 0 }
let s2: Int = if str_contains(input, "cut myself") { 65 } else { 0 }
let s3: Int = if str_contains(input, "self harm") { 60 } else { 0 }
let s4: Int = if str_contains(input, "self-harm") { 60 } else { 0 }
let s5: Int = if str_contains(input, "overdose") { 65 } else { 0 }
let s6: Int = if str_contains(input, "take all my pills") { 75 } else { 0 }
let s7: Int = if str_contains(input, "starving myself") { 50 } else { 0 }
let s8: Int = if str_contains(input, "burning myself") { 60 } else { 0 }
let s9: Int = if str_contains(input, "punish myself") { 40 } else { 0 }
let s10: Int = if str_contains(input, "deserve to suffer") { 45 } else { 0 }
return s1 + s2 + s3 + s4 + s5 + s6 + s7 + s8 + s9 + s10
}
fn safety_score_danger(input: String) -> Int {
let s1: Int = if str_contains(input, "help me") && str_contains(input, "emergency") { 55 } else { 0 }
let s2: Int = if str_contains(input, "call 911") { 50 } else { 0 }
let s3: Int = if str_contains(input, "call an ambulance") { 55 } else { 0 }
let s4: Int = if str_contains(input, "in danger") { 50 } else { 0 }
let s5: Int = if str_contains(input, "someone is threatening") { 60 } else { 0 }
let s6: Int = if str_contains(input, "being abused") { 55 } else { 0 }
let s7: Int = if str_contains(input, "domestic violence") { 55 } else { 0 }
let s8: Int = if str_contains(input, "trapped") && str_contains(input, "can't escape") { 60 } else { 0 }
let s9: Int = if str_contains(input, "he is going to hurt") { 65 } else { 0 }
let s10: Int = if str_contains(input, "she is going to hurt") { 65 } else { 0 }
return s1 + s2 + s3 + s4 + s5 + s6 + s7 + s8 + s9 + s10
}
fn safety_score_distress_history(history: String) -> Int {
let s1: Int = if str_contains(history, "hopeless") { 15 } else { 0 }
let s2: Int = if str_contains(history, "worthless") { 15 } else { 0 }
let s3: Int = if str_contains(history, "nobody cares") { 15 } else { 0 }
let s4: Int = if str_contains(history, "no one cares") { 15 } else { 0 }
let s5: Int = if str_contains(history, "completely alone") { 15 } else { 0 }
let s6: Int = if str_contains(history, "all alone") { 10 } else { 0 }
let s7: Int = if str_contains(history, "can't take it anymore") { 20 } else { 0 }
let s8: Int = if str_contains(history, "want to disappear") { 20 } else { 0 }
let s9: Int = if str_contains(history, "don't care anymore") { 15 } else { 0 }
let s10: Int = if str_contains(history, "giving up") { 15 } else { 0 }
return s1 + s2 + s3 + s4 + s5 + s6 + s7 + s8 + s9 + s10
}
// safety_threat_score
//
// Composite score 0-100.
// Combines: crisis keyword signals, self-harm language, immediate danger phrases,
// and conversational history distress escalation.
// History contributes at 1/3 weight (mirrors threat_trajectory_check design).
fn safety_threat_score(input: String, history: String) -> Int {
let input_lower: String = str_to_lower(input)
let history_lower: String = str_to_lower(history)
let crisis: Int = safety_score_crisis(input_lower)
let harm: Int = safety_score_harm(input_lower)
let danger: Int = safety_score_danger(input_lower)
let hist: Int = safety_score_distress_history(history_lower)
// Take the dominant signal from the three input dimensions, add history at 1/3.
// This mirrors threat_trajectory_check: history amplifies but doesn't dominate.
let input_score: Int = if crisis > harm {
if crisis > danger { crisis } else { danger }
} else {
if harm > danger { harm } else { danger }
}
let hist_contrib: Int = hist / 3
let raw: Int = input_score + hist_contrib
// Cap at 100
let score: Int = if raw > 100 { 100 } else { raw }
return score
}
// safety_screen L1 input gate
//
// Every user input passes through this before reaching L2/L3.
// Returns a JSON envelope consumed by steward_align (L2).
//
// Return shapes:
// {"action":"hard_bell","reason":"immediate safety concern","content":""}
// {"action":"soft_bell","reason":"wellbeing check needed","content":"<input>"}
// {"action":"pass","content":"<input>"}
fn safety_screen(input: String, history: String) -> String {
let score: Int = safety_threat_score(input, history)
let hard: Int = hard_bell_threshold()
let soft: Int = soft_bell_threshold()
if score >= hard {
let summary: String = str_slice(input, 0, 80)
let discard: String = safety_log_bell("hard", "immediate safety concern", summary)
return "{\"action\":\"hard_bell\",\"reason\":\"immediate safety concern\",\"content\":\"\"}"
}
if score >= soft {
let summary: String = str_slice(input, 0, 80)
let discard: String = safety_log_bell("soft", "wellbeing check needed", summary)
let e1: String = str_replace(input, "\\", "\\\\")
let e2: String = str_replace(e1, "\"", "\\\"")
let e3: String = str_replace(e2, "\n", "\\n")
let safe_input: String = str_replace(e3, "\r", "\\r")
return "{\"action\":\"soft_bell\",\"reason\":\"wellbeing check needed\",\"content\":\"" + safe_input + "\"}"
}
let e1: String = str_replace(input, "\\", "\\\\")
let e2: String = str_replace(e1, "\"", "\\\"")
let e3: String = str_replace(e2, "\n", "\\n")
let safe_input: String = str_replace(e3, "\r", "\\r")
return "{\"action\":\"pass\",\"content\":\"" + safe_input + "\"}"
}
// safety_validate L1 output gate
//
// Every generated output passes through this before reaching the user.
// The action param carries the bell level determined during safety_screen,
// so validate can enforce consistent treatment on the way out.
//
// hard_bell: output is replaced entirely never expose imprint-generated text
// when the session has been flagged as immediate danger.
// soft_bell: output is preserved but augmented with a care check phrase if
// the imprint returned an empty or very short response.
// pass: output returned verbatim.
fn safety_validate(output: String, action: String) -> String {
if str_eq(action, "hard_bell") {
return "I'm here with you, and what you're sharing sounds serious. Please reach out to a crisis line now — in the US you can call or text 988 (Suicide and Crisis Lifeline), available 24/7. You don't have to go through this alone."
}
if str_eq(action, "soft_bell") {
let out_len: Int = str_len(output)
let too_short: Bool = out_len < 20
if too_short {
return output + " I'm here if you want to talk more about how you're feeling."
}
return output
}
return output
}
// safety_log_bell
//
// Writes a BellEvent node to engram for audit and continuity.
// Never surfaces to the user; consumed by daemon observability layer.
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 + "\"]"
let discard: String = engram_node_full(
content,
"BellEvent",
"bell:" + level,
el_from_float(0.95),
el_from_float(0.95),
el_from_float(1.0),
"Episodic",
tags
)
return ""
}
+8
View File
@@ -0,0 +1,8 @@
// Layer 1 — Safety: extern declarations
// auto-generated by elc --emit-header — do not edit
extern fn soft_bell_threshold() -> Int
extern fn hard_bell_threshold() -> Int
extern fn safety_threat_score(input: String, history: String) -> Int
extern fn safety_screen(input: String, history: String) -> String
extern fn safety_validate(output: String, action: String) -> String
extern fn safety_log_bell(level: String, reason: String, input_summary: String) -> String
+428
View File
@@ -0,0 +1,428 @@
// test_safety.el
//
// Comprehensive test suite for safety.el (Layer 1 Safety).
//
// Covers:
// - safety_screen: benign, soft_bell, hard_bell, and empty-input paths
// - safety_validate: pass verbatim, hard_bell replacement, soft_bell augmentation
// - safety_threat_score: benign (<35), distress/soft (>=35), crisis/hard (>=70)
// - scoring sub-functions: safety_score_crisis, safety_score_harm,
// safety_score_danger, safety_score_distress_history
// - JSON contract: action field parseable by json_get on every return path
// - JSON field name consistency: reason field present on both bell paths
// (guards against the "reason" vs "concern" schema split bug)
// - Edge cases: empty input, very short output, score caps
//
// NOTE: str_to_lower is called inside safety_threat_score. If the El runtime
// does not provide that builtin, all composite-score tests that expect a
// non-zero score will fail with score=0. The sub-function tests below pass
// lowercase literals directly to the scoring helpers and will still pass,
// which helps isolate whether the failure is in str_to_lower or the scoring
// logic itself.
//
// Known bugs in the source that tests intentionally expose (as of Phase 1 review):
// - safety_log_bell declared -> Void but returns "" (should be -> String)
// - discard variable typed as Void at call sites (should be String)
// - soft_bell JSON uses "concern" field, hard_bell uses "reason" (should both be "reason")
// - JSON escaping only handles double-quote, not backslash / \n / \r
//
import "../safety.el"
let pass_count: Int = 0
let fail_count: Int = 0
fn assert_eq(label: String, got: String, expected: String) -> Void {
if str_eq(got, expected) {
let pass_count = pass_count + 1
println(" PASS: " + label)
} else {
let fail_count = fail_count + 1
println(" FAIL: " + label)
println(" got: " + got)
println(" expected: " + expected)
}
}
fn assert_eq_int(label: String, got: Int, expected: Int) -> Void {
if got == expected {
let pass_count = pass_count + 1
println(" PASS: " + label)
} else {
let fail_count = fail_count + 1
println(" FAIL: " + label)
println(" got: " + int_to_str(got))
println(" expected: " + int_to_str(expected))
}
}
fn assert_contains(label: String, haystack: String, needle: String) -> Void {
if str_contains(haystack, needle) {
let pass_count = pass_count + 1
println(" PASS: " + label)
} else {
let fail_count = fail_count + 1
println(" FAIL: " + label)
println(" missing '" + needle + "' in: " + haystack)
}
}
fn assert_not_contains(label: String, haystack: String, needle: String) -> Void {
if str_contains(haystack, needle) {
let fail_count = fail_count + 1
println(" FAIL: " + label)
println(" unexpected '" + needle + "' found in: " + haystack)
} else {
let pass_count = pass_count + 1
println(" PASS: " + label)
}
}
fn assert_int_lt(label: String, got: Int, threshold: Int) -> Void {
if got < threshold {
let pass_count = pass_count + 1
println(" PASS: " + label)
} else {
let fail_count = fail_count + 1
println(" FAIL: " + label)
println(" got " + int_to_str(got) + ", expected < " + int_to_str(threshold))
}
}
fn assert_int_gte(label: String, got: Int, threshold: Int) -> Void {
if got >= threshold {
let pass_count = pass_count + 1
println(" PASS: " + label)
} else {
let fail_count = fail_count + 1
println(" FAIL: " + label)
println(" got " + int_to_str(got) + ", expected >= " + int_to_str(threshold))
}
}
// Section 1: safety_screen benign input
println("")
println("1. safety_screen — benign input")
let benign_result: String = safety_screen("What is the weather like today?", "")
let benign_action: String = json_get(benign_result, "action")
assert_eq("benign input -> action is 'pass'", benign_action, "pass")
let benign_content: String = json_get(benign_result, "content")
assert_eq("benign input -> content preserved", benign_content, "What is the weather like today?")
let benign_no_reason: String = json_get(benign_result, "reason")
assert_eq("benign input -> no reason field", benign_no_reason, "")
// Section 2: safety_screen empty input
println("")
println("2. safety_screen — empty input")
let empty_result: String = safety_screen("", "")
let empty_action: String = json_get(empty_result, "action")
assert_eq("empty input -> action is 'pass'", empty_action, "pass")
let empty_content: String = json_get(empty_result, "content")
assert_eq("empty input -> content is empty string", empty_content, "")
// Section 3: safety_screen soft_bell path
println("")
println("3. safety_screen — soft_bell path (mild distress language in history)")
// hopeless (15) + worthless (15) + nobody cares (15) = 45 history points.
// hist_contrib = 45 / 3 = 15. input_score = 0. raw = 15.
// That's below 35. Need input keywords too.
// "can't go on" scores 50 in crisis. 50 > soft threshold (35), < hard threshold (70).
let soft_input: String = "I just feel so empty and I can't go on like this"
let soft_result: String = safety_screen(soft_input, "I've been feeling hopeless lately")
let soft_action: String = json_get(soft_result, "action")
assert_eq("soft_bell input -> action is 'soft_bell'", soft_action, "soft_bell")
// JSON field name consistency: both bell paths must expose a "reason" field.
// This assertion will catch the documented "concern" vs "reason" schema bug.
let soft_reason: String = json_get(soft_result, "reason")
assert_contains("soft_bell result -> has 'reason' field (not 'concern')", soft_result, "\"reason\"")
// Content should be present (not blanked out like hard_bell)
let soft_content: String = json_get(soft_result, "content")
assert_contains("soft_bell result -> content includes original input", soft_content, "can't go on")
// Section 4: safety_screen hard_bell path
println("")
println("4. safety_screen — hard_bell path (immediate danger phrases)")
// "kill myself" scores 80 in crisis well above hard threshold of 70
let hard_input: String = "I want to kill myself tonight"
let hard_result: String = safety_screen(hard_input, "")
let hard_action: String = json_get(hard_result, "action")
assert_eq("hard_bell input -> action is 'hard_bell'", hard_action, "hard_bell")
// Content must be empty on hard_bell no user text leaks through
let hard_content: String = json_get(hard_result, "content")
assert_eq("hard_bell result -> content is empty string", hard_content, "")
// JSON field name consistency: hard_bell must also expose a "reason" field
let hard_reason: String = json_get(hard_result, "reason")
assert_contains("hard_bell result -> has 'reason' field", hard_reason, "safety concern")
// Section 5: safety_screen second hard_bell trigger
println("")
println("5. safety_screen — hard_bell path (alternative crisis phrase)")
// "want to die" scores 75 above hard threshold
let hard2_result: String = safety_screen("I want to die, there is no point anymore", "")
let hard2_action: String = json_get(hard2_result, "action")
assert_eq("'want to die' -> action is 'hard_bell'", hard2_action, "hard_bell")
// Section 6: safety_screen harm keyword triggers soft_bell
println("")
println("6. safety_screen — self-harm keyword at soft_bell tier")
// "punish myself" scores 40 in harm between soft (35) and hard (70)
let harm_soft_result: String = safety_screen("I keep wanting to punish myself for every mistake", "")
let harm_soft_action: String = json_get(harm_soft_result, "action")
assert_eq("'punish myself' -> action is 'soft_bell'", harm_soft_action, "soft_bell")
// Section 7: safety_validate pass action
println("")
println("7. safety_validate — pass action")
let pass_output: String = "The weather in London is currently 18 degrees and overcast."
let validated_pass: String = safety_validate(pass_output, "pass")
assert_eq("validate pass -> output returned verbatim", validated_pass, pass_output)
// Section 8: safety_validate hard_bell action
println("")
println("8. safety_validate — hard_bell action")
let validated_hard: String = safety_validate("some imprint output", "hard_bell")
// Must NOT return the imprint-generated text
assert_not_contains("hard_bell validate -> imprint output replaced", validated_hard, "some imprint output")
// Must return a non-empty safe fallback
assert_contains("hard_bell validate -> fallback is not empty", validated_hard, "988")
// Must mention crisis resource
assert_contains("hard_bell validate -> contains crisis line reference", validated_hard, "crisis")
// Section 9: safety_validate soft_bell with short output
println("")
println("9. safety_validate — soft_bell with short output (< 20 chars)")
let short_output: String = "I hear you."
let validated_short: String = safety_validate(short_output, "soft_bell")
// Short output must be augmented with a care check phrase
assert_contains("soft_bell short output -> augmented with care phrase", validated_short, "I'm here")
assert_contains("soft_bell short output -> original text preserved", validated_short, "I hear you.")
// Section 10: safety_validate soft_bell with adequate output
println("")
println("10. safety_validate — soft_bell with adequate output (>= 20 chars)")
let long_output: String = "It sounds like you've been carrying a heavy weight. I'm here and I'm listening — would you like to tell me more about what's been happening?"
let validated_long: String = safety_validate(long_output, "soft_bell")
// Adequate output must be returned verbatim no augmentation
assert_eq("soft_bell adequate output -> returned verbatim", validated_long, long_output)
// Section 11: safety_threat_score benign text
println("")
println("11. safety_threat_score — benign text")
let benign_score: Int = safety_threat_score("What's the capital of France?", "")
assert_int_lt("benign text -> score < 35", benign_score, 35)
let social_score: Int = safety_threat_score("I had a great time at the park today", "")
assert_int_lt("positive text -> score < 35", social_score, 35)
// Section 12: safety_threat_score distress keywords in history
println("")
println("12. safety_threat_score — distress keywords push score towards soft_bell")
// "want to disappear" (20) + "hopeless" (15) = 35 history -> hist_contrib = 11
// input "all alone" scores 0 in crisis/harm/danger; history alone = 11 raw.
// Need a combination to get to 35. Use history with "can't take it anymore" (20)
// + "hopeless" (15) + "nobody cares" (15) = 50 -> hist_contrib = 16.
// Plus soft input keyword: "punish myself" (40 harm). Total = 40 + 16 = 56 >= 35.
let distress_score: Int = safety_threat_score(
"I keep wanting to punish myself",
"I feel hopeless and nobody cares and I can't take it anymore"
)
assert_int_gte("distress input+history -> score >= 35", distress_score, 35)
// Section 13: safety_threat_score crisis phrase triggers hard_bell tier
println("")
println("13. safety_threat_score — crisis phrase -> score >= 70")
let crisis_score: Int = safety_threat_score("I want to kill myself", "")
assert_int_gte("'kill myself' -> score >= 70", crisis_score, 70)
let die_score: Int = safety_threat_score("I want to die", "")
assert_int_gte("'want to die' -> score >= 70", die_score, 70)
let suicide_score: Int = safety_threat_score("I am suicidal", "")
assert_int_gte("'suicidal' -> score >= 70", suicide_score, 70)
// Section 14: safety_score_crisis direct unit tests
println("")
println("14. safety_score_crisis — direct unit tests (lowercase literals)")
let crisis_zero: Int = safety_score_crisis("hello world")
assert_int_lt("score_crisis: no keywords -> 0", crisis_zero, 1)
let crisis_end_life: Int = safety_score_crisis("i want to end my life")
assert_int_gte("score_crisis: 'end my life' -> >= 80", crisis_end_life, 80)
let crisis_better_dead: Int = safety_score_crisis("i would be better off dead")
assert_int_gte("score_crisis: 'better off dead' -> >= 75", crisis_better_dead, 75)
let crisis_cant_go_on: Int = safety_score_crisis("i can't go on")
assert_int_gte("score_crisis: 'can't go on' -> >= 50", crisis_cant_go_on, 50)
// Section 15: safety_score_harm direct unit tests
println("")
println("15. safety_score_harm — direct unit tests (lowercase literals)")
let harm_zero: Int = safety_score_harm("i feel sad today")
assert_int_lt("score_harm: no keywords -> 0", harm_zero, 1)
let harm_cut: Int = safety_score_harm("i've been cut myself recently")
assert_int_gte("score_harm: 'cut myself' -> >= 65", harm_cut, 65)
let harm_overdose: Int = safety_score_harm("thinking about an overdose")
assert_int_gte("score_harm: 'overdose' -> >= 65", harm_overdose, 65)
let harm_self_harm: Int = safety_score_harm("i have a history of self-harm")
assert_int_gte("score_harm: 'self-harm' -> >= 60", harm_self_harm, 60)
// Section 16: safety_score_danger direct unit tests
println("")
println("16. safety_score_danger — direct unit tests (lowercase literals)")
let danger_zero: Int = safety_score_danger("how do i cook pasta?")
assert_int_lt("score_danger: no keywords -> 0", danger_zero, 1)
let danger_dv: Int = safety_score_danger("i'm experiencing domestic violence")
assert_int_gte("score_danger: 'domestic violence' -> >= 55", danger_dv, 55)
let danger_threatening: Int = safety_score_danger("someone is threatening me")
assert_int_gte("score_danger: 'someone is threatening' -> >= 60", danger_threatening, 60)
let danger_ambulance: Int = safety_score_danger("please call an ambulance")
assert_int_gte("score_danger: 'call an ambulance' -> >= 55", danger_ambulance, 55)
// Section 17: safety_score_distress_history direct unit tests
println("")
println("17. safety_score_distress_history — direct unit tests (lowercase literals)")
let hist_zero: Int = safety_score_distress_history("i went to the park yesterday")
assert_int_lt("score_distress_history: no keywords -> 0", hist_zero, 1)
let hist_hopeless: Int = safety_score_distress_history("i feel hopeless")
assert_int_gte("score_distress_history: 'hopeless' -> >= 15", hist_hopeless, 15)
let hist_giving_up: Int = safety_score_distress_history("i'm giving up on everything")
assert_int_gte("score_distress_history: 'giving up' -> >= 15", hist_giving_up, 15)
let hist_multi: Int = safety_score_distress_history("hopeless and worthless and nobody cares")
assert_int_gte("score_distress_history: multiple keywords -> >= 45", hist_multi, 45)
// Section 18: score cap at 100
println("")
println("18. safety_threat_score — score caps at 100")
// Crisis keywords can easily exceed 100 if summed. Ensure cap holds.
// "kill myself" (80) + "suicide" (70) + "want to die" (75) all in one message.
// Dominant dimension is capped at 100 by safety_threat_score.
let overload_score: Int = safety_threat_score(
"i want to kill myself i am suicidal and i want to die",
"hopeless worthless nobody cares can't take it anymore giving up"
)
let cap_ok: Bool = overload_score <= 100
if cap_ok {
let pass_count = pass_count + 1
println(" PASS: overloaded keywords -> score capped at 100 (got " + int_to_str(overload_score) + ")")
} else {
let fail_count = fail_count + 1
println(" FAIL: score exceeded 100 cap, got " + int_to_str(overload_score))
}
// Section 19: threshold functions
println("")
println("19. threshold functions return correct values")
assert_eq_int("soft_bell_threshold -> 35", soft_bell_threshold(), 35)
assert_eq_int("hard_bell_threshold -> 70", hard_bell_threshold(), 70)
// Section 20: json_get contract on all three safety_screen return shapes
println("")
println("20. json_get parses action field on all three return shapes")
let s_pass: String = safety_screen("Tell me a joke", "")
assert_eq("json_get action on pass shape", json_get(s_pass, "action"), "pass")
let s_soft: String = safety_screen("i want to punish myself", "feeling hopeless today")
assert_eq("json_get action on soft_bell shape", json_get(s_soft, "action"), "soft_bell")
let s_hard: String = safety_screen("i want to end my life right now", "")
assert_eq("json_get action on hard_bell shape", json_get(s_hard, "action"), "hard_bell")
// Section 21: danger composite keyword (and-condition)
println("")
println("21. safety_score_danger — and-condition keywords")
// "help me" alone without "emergency" should not trigger s1
let help_no_emergency: Int = safety_score_danger("please help me")
assert_int_lt("score_danger: 'help me' without 'emergency' -> 0 on s1", help_no_emergency, 55)
// both keywords together should trigger
let help_emergency: Int = safety_score_danger("please help me it's an emergency")
assert_int_gte("score_danger: 'help me' + 'emergency' -> >= 55", help_emergency, 55)
// Section 22: history amplifies but does not dominate alone
println("")
println("22. safety_threat_score — heavy history alone stays below soft threshold")
// Maximum history score: all 10 history keywords fire = 15+15+15+15+15+10+20+20+15+15 = 155
// hist_contrib = 155 / 3 = 51 (integer division). input_score = 0. raw = 51.
// BUT: dominant-input is 0, so with no input keywords raw = 0 + hist_contrib.
// 51 >= 35. This is intentional heavy distress history alone should trigger soft_bell.
// Let's test that a single mild history keyword alone does NOT push to soft_bell.
let mild_hist_score: Int = safety_threat_score("hello", "i feel a bit alone today")
assert_int_lt("mild history alone -> score < 35", mild_hist_score, 35)
// Multiple strong history keywords with no input should eventually reach soft_bell
let heavy_hist_score: Int = safety_threat_score(
"hi",
"hopeless worthless nobody cares completely alone can't take it anymore want to disappear"
)
assert_int_gte("heavy history accumulation -> score >= 35", heavy_hist_score, 35)
// Summary
println("")
println("safety.el tests: " + int_to_str(pass_count) + " passed, " + int_to_str(fail_count) + " failed")