Auto backup before evolver run - 2026年 03月 03日 星期二 23:12:56 CST

This commit is contained in:
2026-03-03 23:12:56 +08:00
parent 429e5a797d
commit f11d322c3f
99 changed files with 17051 additions and 138 deletions
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const fs = require('fs');
const { readAllEvents } = require('./assetStore');
const { computeAssetId, SCHEMA_VERSION } = require('./contentHash');
const { unwrapAssetFromMessage } = require('./a2aProtocol');
function nowIso() { return new Date().toISOString(); }
function isAllowedA2AAsset(obj) {
if (!obj || typeof obj !== 'object') return false;
var t = obj.type;
return t === 'Gene' || t === 'Capsule' || t === 'EvolutionEvent';
}
function safeNumber(x, fallback) {
if (fallback === undefined) fallback = null;
var n = Number(x);
return Number.isFinite(n) ? n : fallback;
}
function getBlastRadiusLimits() {
var maxFiles = safeNumber(process.env.A2A_MAX_FILES, 5);
var maxLines = safeNumber(process.env.A2A_MAX_LINES, 200);
return {
maxFiles: Number.isFinite(maxFiles) ? maxFiles : 5,
maxLines: Number.isFinite(maxLines) ? maxLines : 200,
};
}
function isBlastRadiusSafe(blastRadius) {
var lim = getBlastRadiusLimits();
var files = blastRadius && Number.isFinite(Number(blastRadius.files)) ? Number(blastRadius.files) : 0;
var lines = blastRadius && Number.isFinite(Number(blastRadius.lines)) ? Number(blastRadius.lines) : 0;
return files <= lim.maxFiles && lines <= lim.maxLines;
}
function clamp01(n) {
var x = Number(n);
if (!Number.isFinite(x)) return 0;
return Math.max(0, Math.min(1, x));
}
function lowerConfidence(asset, opts) {
if (!opts) opts = {};
var factor = Number.isFinite(Number(opts.factor)) ? Number(opts.factor) : 0.6;
var receivedFrom = opts.source || 'external';
var receivedAt = opts.received_at || nowIso();
var cloned = JSON.parse(JSON.stringify(asset || {}));
if (!isAllowedA2AAsset(cloned)) return null;
if (cloned.type === 'Capsule') {
if (typeof cloned.confidence === 'number') cloned.confidence = clamp01(cloned.confidence * factor);
else if (cloned.confidence != null) cloned.confidence = clamp01(Number(cloned.confidence) * factor);
}
if (!cloned.a2a || typeof cloned.a2a !== 'object') cloned.a2a = {};
cloned.a2a.status = 'external_candidate';
cloned.a2a.source = receivedFrom;
cloned.a2a.received_at = receivedAt;
cloned.a2a.confidence_factor = factor;
if (!cloned.schema_version) cloned.schema_version = SCHEMA_VERSION;
if (!cloned.asset_id) { try { cloned.asset_id = computeAssetId(cloned); } catch (e) {} }
return cloned;
}
function readEvolutionEvents() {
var events = readAllEvents();
return Array.isArray(events) ? events.filter(function (e) { return e && e.type === 'EvolutionEvent'; }) : [];
}
function normalizeEventsList(events) {
return Array.isArray(events) ? events : [];
}
function computeCapsuleSuccessStreak(params) {
var capsuleId = params.capsuleId;
var events = params.events;
var id = capsuleId ? String(capsuleId) : '';
if (!id) return 0;
var list = normalizeEventsList(events || readEvolutionEvents());
var streak = 0;
for (var i = list.length - 1; i >= 0; i--) {
var ev = list[i];
if (!ev || ev.type !== 'EvolutionEvent') continue;
if (!ev.capsule_id || String(ev.capsule_id) !== id) continue;
var st = ev.outcome && ev.outcome.status ? String(ev.outcome.status) : 'unknown';
if (st === 'success') streak += 1; else break;
}
return streak;
}
function isCapsuleBroadcastEligible(capsule, opts) {
if (!opts) opts = {};
if (!capsule || capsule.type !== 'Capsule') return false;
var score = capsule.outcome && capsule.outcome.score != null ? safeNumber(capsule.outcome.score, null) : null;
if (score == null || score < 0.7) return false;
var blast = capsule.blast_radius || (capsule.outcome && capsule.outcome.blast_radius) || null;
if (!isBlastRadiusSafe(blast)) return false;
var events = Array.isArray(opts.events) ? opts.events : readEvolutionEvents();
var streak = computeCapsuleSuccessStreak({ capsuleId: capsule.id, events: events });
if (streak < 2) return false;
return true;
}
function exportEligibleCapsules(params) {
if (!params) params = {};
var list = Array.isArray(params.capsules) ? params.capsules : [];
var evs = Array.isArray(params.events) ? params.events : readEvolutionEvents();
var eligible = list.filter(function (c) { return isCapsuleBroadcastEligible(c, { events: evs }); });
for (var i = 0; i < eligible.length; i++) {
var c = eligible[i];
if (!c.schema_version) c.schema_version = SCHEMA_VERSION;
if (!c.asset_id) { try { c.asset_id = computeAssetId(c); } catch (e) {} }
}
return eligible;
}
function isGeneBroadcastEligible(gene) {
if (!gene || gene.type !== 'Gene') return false;
if (!gene.id || typeof gene.id !== 'string') return false;
if (!Array.isArray(gene.strategy) || gene.strategy.length === 0) return false;
if (!Array.isArray(gene.validation) || gene.validation.length === 0) return false;
return true;
}
function exportEligibleGenes(params) {
if (!params) params = {};
var list = Array.isArray(params.genes) ? params.genes : [];
var eligible = list.filter(function (g) { return isGeneBroadcastEligible(g); });
for (var i = 0; i < eligible.length; i++) {
var g = eligible[i];
if (!g.schema_version) g.schema_version = SCHEMA_VERSION;
if (!g.asset_id) { try { g.asset_id = computeAssetId(g); } catch (e) {} }
}
return eligible;
}
function parseA2AInput(text) {
var raw = String(text || '').trim();
if (!raw) return [];
try {
var maybe = JSON.parse(raw);
if (Array.isArray(maybe)) {
return maybe.map(function (item) { return unwrapAssetFromMessage(item) || item; }).filter(Boolean);
}
if (maybe && typeof maybe === 'object') {
var unwrapped = unwrapAssetFromMessage(maybe);
return unwrapped ? [unwrapped] : [maybe];
}
} catch (e) {}
var lines = raw.split('\n').map(function (l) { return l.trim(); }).filter(Boolean);
var items = [];
for (var i = 0; i < lines.length; i++) {
try {
var obj = JSON.parse(lines[i]);
var uw = unwrapAssetFromMessage(obj);
items.push(uw || obj);
} catch (e) { continue; }
}
return items;
}
function readTextIfExists(filePath) {
try {
if (!filePath) return '';
if (!fs.existsSync(filePath)) return '';
return fs.readFileSync(filePath, 'utf8');
} catch { return ''; }
}
module.exports = {
isAllowedA2AAsset, lowerConfidence, isBlastRadiusSafe,
computeCapsuleSuccessStreak, isCapsuleBroadcastEligible,
exportEligibleCapsules, isGeneBroadcastEligible,
exportEligibleGenes, parseA2AInput, readTextIfExists,
};
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// GEP A2A Protocol - Standard message types and pluggable transport layer.
//
// Protocol messages:
// hello - capability advertisement and node discovery
// publish - broadcast an eligible asset (Capsule/Gene)
// fetch - request a specific asset by id or content hash
// report - send a ValidationReport for a received asset
// decision - accept/reject/quarantine decision on a received asset
// revoke - withdraw a previously published asset
//
// Transport interface:
// send(message, opts) - send a protocol message
// receive(opts) - receive pending messages
// list(opts) - list available message files/streams
//
// Default transport: FileTransport (reads/writes JSONL to a2a/ directory).
const fs = require('fs');
const path = require('path');
const crypto = require('crypto');
const { getGepAssetsDir } = require('./paths');
const { computeAssetId } = require('./contentHash');
const { captureEnvFingerprint } = require('./envFingerprint');
const os = require('os');
const { getDeviceId } = require('./deviceId');
const PROTOCOL_NAME = 'gep-a2a';
const PROTOCOL_VERSION = '1.0.0';
const VALID_MESSAGE_TYPES = ['hello', 'publish', 'fetch', 'report', 'decision', 'revoke'];
const NODE_ID_RE = /^node_[a-f0-9]{12}$/;
const NODE_ID_DIR = path.join(os.homedir(), '.evomap');
const NODE_ID_FILE = path.join(NODE_ID_DIR, 'node_id');
const LOCAL_NODE_ID_FILE = path.resolve(__dirname, '..', '..', '.evomap_node_id');
let _cachedNodeId = null;
function _loadPersistedNodeId() {
try {
if (fs.existsSync(NODE_ID_FILE)) {
const id = fs.readFileSync(NODE_ID_FILE, 'utf8').trim();
if (id && NODE_ID_RE.test(id)) return id;
}
} catch {}
try {
if (fs.existsSync(LOCAL_NODE_ID_FILE)) {
const id = fs.readFileSync(LOCAL_NODE_ID_FILE, 'utf8').trim();
if (id && NODE_ID_RE.test(id)) return id;
}
} catch {}
return null;
}
function _persistNodeId(id) {
try {
if (!fs.existsSync(NODE_ID_DIR)) {
fs.mkdirSync(NODE_ID_DIR, { recursive: true, mode: 0o700 });
}
fs.writeFileSync(NODE_ID_FILE, id, { encoding: 'utf8', mode: 0o600 });
return;
} catch {}
try {
fs.writeFileSync(LOCAL_NODE_ID_FILE, id, { encoding: 'utf8', mode: 0o600 });
return;
} catch {}
}
function generateMessageId() {
return 'msg_' + Date.now() + '_' + crypto.randomBytes(4).toString('hex');
}
function getNodeId() {
if (_cachedNodeId) return _cachedNodeId;
if (process.env.A2A_NODE_ID) {
_cachedNodeId = String(process.env.A2A_NODE_ID);
return _cachedNodeId;
}
const persisted = _loadPersistedNodeId();
if (persisted) {
_cachedNodeId = persisted;
return _cachedNodeId;
}
const deviceId = getDeviceId();
const agentName = process.env.AGENT_NAME || 'default';
const raw = deviceId + '|' + agentName + '|' + process.cwd();
const computed = 'node_' + crypto.createHash('sha256').update(raw).digest('hex').slice(0, 12);
_persistNodeId(computed);
_cachedNodeId = computed;
return _cachedNodeId;
}
// --- Base message builder ---
function buildMessage(params) {
var messageType = params.messageType;
var payload = params.payload;
var senderId = params.senderId;
if (!VALID_MESSAGE_TYPES.includes(messageType)) {
throw new Error('Invalid message type: ' + messageType + '. Valid: ' + VALID_MESSAGE_TYPES.join(', '));
}
return {
protocol: PROTOCOL_NAME,
protocol_version: PROTOCOL_VERSION,
message_type: messageType,
message_id: generateMessageId(),
sender_id: senderId || getNodeId(),
timestamp: new Date().toISOString(),
payload: payload || {},
};
}
// --- Typed message builders ---
function buildHello(opts) {
var o = opts || {};
return buildMessage({
messageType: 'hello',
senderId: o.nodeId,
payload: {
capabilities: o.capabilities || {},
gene_count: typeof o.geneCount === 'number' ? o.geneCount : null,
capsule_count: typeof o.capsuleCount === 'number' ? o.capsuleCount : null,
env_fingerprint: captureEnvFingerprint(),
},
});
}
function buildPublish(opts) {
var o = opts || {};
var asset = o.asset;
if (!asset || !asset.type || !asset.id) {
throw new Error('publish: asset must have type and id');
}
// Generate signature: HMAC-SHA256 of asset_id with node secret
var assetIdVal = asset.asset_id || computeAssetId(asset);
var nodeSecret = process.env.A2A_NODE_SECRET || getNodeId();
var signature = crypto.createHmac('sha256', nodeSecret).update(assetIdVal).digest('hex');
return buildMessage({
messageType: 'publish',
senderId: o.nodeId,
payload: {
asset_type: asset.type,
asset_id: assetIdVal,
local_id: asset.id,
asset: asset,
signature: signature,
},
});
}
// Build a bundle publish message containing Gene + Capsule (+ optional EvolutionEvent).
// Hub requires payload.assets = [Gene, Capsule] since bundle enforcement was added.
function buildPublishBundle(opts) {
var o = opts || {};
var gene = o.gene;
var capsule = o.capsule;
var event = o.event || null;
if (!gene || gene.type !== 'Gene' || !gene.id) {
throw new Error('publishBundle: gene must be a valid Gene with type and id');
}
if (!capsule || capsule.type !== 'Capsule' || !capsule.id) {
throw new Error('publishBundle: capsule must be a valid Capsule with type and id');
}
var geneAssetId = gene.asset_id || computeAssetId(gene);
var capsuleAssetId = capsule.asset_id || computeAssetId(capsule);
var nodeSecret = process.env.A2A_NODE_SECRET || getNodeId();
var signatureInput = [geneAssetId, capsuleAssetId].sort().join('|');
var signature = crypto.createHmac('sha256', nodeSecret).update(signatureInput).digest('hex');
if (o.modelName && typeof o.modelName === 'string') {
gene.model_name = o.modelName;
capsule.model_name = o.modelName;
}
var assets = [gene, capsule];
if (event && event.type === 'EvolutionEvent') {
if (o.modelName && typeof o.modelName === 'string') {
event.model_name = o.modelName;
}
assets.push(event);
}
var publishPayload = {
assets: assets,
signature: signature,
};
if (o.chainId && typeof o.chainId === 'string') {
publishPayload.chain_id = o.chainId;
}
return buildMessage({
messageType: 'publish',
senderId: o.nodeId,
payload: publishPayload,
});
}
function buildFetch(opts) {
var o = opts || {};
return buildMessage({
messageType: 'fetch',
senderId: o.nodeId,
payload: {
asset_type: o.assetType || null,
local_id: o.localId || null,
content_hash: o.contentHash || null,
},
});
}
function buildReport(opts) {
var o = opts || {};
return buildMessage({
messageType: 'report',
senderId: o.nodeId,
payload: {
target_asset_id: o.assetId || null,
target_local_id: o.localId || null,
validation_report: o.validationReport || null,
},
});
}
function buildDecision(opts) {
var o = opts || {};
var validDecisions = ['accept', 'reject', 'quarantine'];
if (!validDecisions.includes(o.decision)) {
throw new Error('decision must be one of: ' + validDecisions.join(', '));
}
return buildMessage({
messageType: 'decision',
senderId: o.nodeId,
payload: {
target_asset_id: o.assetId || null,
target_local_id: o.localId || null,
decision: o.decision,
reason: o.reason || null,
},
});
}
function buildRevoke(opts) {
var o = opts || {};
return buildMessage({
messageType: 'revoke',
senderId: o.nodeId,
payload: {
target_asset_id: o.assetId || null,
target_local_id: o.localId || null,
reason: o.reason || null,
},
});
}
// --- Validation ---
function isValidProtocolMessage(msg) {
if (!msg || typeof msg !== 'object') return false;
if (msg.protocol !== PROTOCOL_NAME) return false;
if (!msg.message_type || !VALID_MESSAGE_TYPES.includes(msg.message_type)) return false;
if (!msg.message_id || typeof msg.message_id !== 'string') return false;
if (!msg.timestamp || typeof msg.timestamp !== 'string') return false;
return true;
}
// Try to extract a raw asset from either a protocol message or a plain asset object.
// This enables backward-compatible ingestion of both old-format and new-format payloads.
function unwrapAssetFromMessage(input) {
if (!input || typeof input !== 'object') return null;
// If it is a protocol message with a publish payload, extract the asset.
if (input.protocol === PROTOCOL_NAME && input.message_type === 'publish') {
var p = input.payload;
if (p && p.asset && typeof p.asset === 'object') return p.asset;
return null;
}
// If it is a plain asset (Gene/Capsule/EvolutionEvent), return as-is.
if (input.type === 'Gene' || input.type === 'Capsule' || input.type === 'EvolutionEvent') {
return input;
}
return null;
}
// --- File Transport ---
function ensureDir(dir) {
try {
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
} catch (e) {}
}
function defaultA2ADir() {
return process.env.A2A_DIR || path.join(getGepAssetsDir(), 'a2a');
}
function fileTransportSend(message, opts) {
var dir = (opts && opts.dir) || defaultA2ADir();
var subdir = path.join(dir, 'outbox');
ensureDir(subdir);
var filePath = path.join(subdir, message.message_type + '.jsonl');
fs.appendFileSync(filePath, JSON.stringify(message) + '\n', 'utf8');
return { ok: true, path: filePath };
}
function fileTransportReceive(opts) {
var dir = (opts && opts.dir) || defaultA2ADir();
var subdir = path.join(dir, 'inbox');
if (!fs.existsSync(subdir)) return [];
var files = fs.readdirSync(subdir).filter(function (f) { return f.endsWith('.jsonl'); });
var messages = [];
for (var fi = 0; fi < files.length; fi++) {
try {
var raw = fs.readFileSync(path.join(subdir, files[fi]), 'utf8');
var lines = raw.split('\n').map(function (l) { return l.trim(); }).filter(Boolean);
for (var li = 0; li < lines.length; li++) {
try {
var msg = JSON.parse(lines[li]);
if (msg && msg.protocol === PROTOCOL_NAME) messages.push(msg);
} catch (e) {}
}
} catch (e) {}
}
return messages;
}
function fileTransportList(opts) {
var dir = (opts && opts.dir) || defaultA2ADir();
var subdir = path.join(dir, 'outbox');
if (!fs.existsSync(subdir)) return [];
return fs.readdirSync(subdir).filter(function (f) { return f.endsWith('.jsonl'); });
}
// --- HTTP Transport (connects to evomap-hub) ---
function httpTransportSend(message, opts) {
var hubUrl = (opts && opts.hubUrl) || process.env.A2A_HUB_URL;
if (!hubUrl) return { ok: false, error: 'A2A_HUB_URL not set' };
var endpoint = hubUrl.replace(/\/+$/, '') + '/a2a/' + message.message_type;
var body = JSON.stringify(message);
// Use dynamic import for fetch (available in Node 18+)
return fetch(endpoint, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: body,
})
.then(function (res) { return res.json(); })
.then(function (data) { return { ok: true, response: data }; })
.catch(function (err) { return { ok: false, error: err.message }; });
}
function httpTransportReceive(opts) {
var hubUrl = (opts && opts.hubUrl) || process.env.A2A_HUB_URL;
if (!hubUrl) return Promise.resolve([]);
var assetType = (opts && opts.assetType) || null;
var fetchMsg = buildFetch({ assetType: assetType });
var endpoint = hubUrl.replace(/\/+$/, '') + '/a2a/fetch';
return fetch(endpoint, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(fetchMsg),
})
.then(function (res) { return res.json(); })
.then(function (data) {
if (data && data.payload && Array.isArray(data.payload.results)) {
return data.payload.results;
}
return [];
})
.catch(function () { return []; });
}
function httpTransportList() {
return ['http'];
}
// --- Heartbeat ---
var _heartbeatTimer = null;
var _heartbeatStartedAt = null;
var _heartbeatConsecutiveFailures = 0;
var _heartbeatTotalSent = 0;
var _heartbeatTotalFailed = 0;
function getHubUrl() {
return process.env.A2A_HUB_URL || process.env.EVOMAP_HUB_URL || '';
}
function sendHelloToHub() {
var hubUrl = getHubUrl();
if (!hubUrl) return Promise.resolve({ ok: false, error: 'no_hub_url' });
var endpoint = hubUrl.replace(/\/+$/, '') + '/a2a/hello';
var nodeId = getNodeId();
var msg = buildHello({ nodeId: nodeId, capabilities: {} });
msg.sender_id = nodeId;
return fetch(endpoint, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(msg),
signal: AbortSignal.timeout(15000),
})
.then(function (res) { return res.json(); })
.then(function (data) { return { ok: true, response: data }; })
.catch(function (err) { return { ok: false, error: err.message }; });
}
function sendHeartbeat() {
var hubUrl = getHubUrl();
if (!hubUrl) return Promise.resolve({ ok: false, error: 'no_hub_url' });
var endpoint = hubUrl.replace(/\/+$/, '') + '/a2a/heartbeat';
var nodeId = getNodeId();
var body = JSON.stringify({
node_id: nodeId,
sender_id: nodeId,
version: PROTOCOL_VERSION,
uptime_ms: _heartbeatStartedAt ? Date.now() - _heartbeatStartedAt : 0,
timestamp: new Date().toISOString(),
});
_heartbeatTotalSent++;
return fetch(endpoint, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: body,
signal: AbortSignal.timeout(10000),
})
.then(function (res) { return res.json(); })
.then(function (data) {
if (data && data.status === 'unknown_node') {
console.warn('[Heartbeat] Node not registered on hub. Sending hello to re-register...');
return sendHelloToHub().then(function (helloResult) {
if (helloResult.ok) {
console.log('[Heartbeat] Re-registered with hub successfully.');
_heartbeatConsecutiveFailures = 0;
} else {
console.warn('[Heartbeat] Re-registration failed: ' + (helloResult.error || 'unknown'));
}
return { ok: helloResult.ok, response: data, reregistered: helloResult.ok };
});
}
_heartbeatConsecutiveFailures = 0;
return { ok: true, response: data };
})
.catch(function (err) {
_heartbeatConsecutiveFailures++;
_heartbeatTotalFailed++;
if (_heartbeatConsecutiveFailures === 3) {
console.warn('[Heartbeat] 3 consecutive failures. Network issue? Last error: ' + err.message);
} else if (_heartbeatConsecutiveFailures === 10) {
console.warn('[Heartbeat] 10 consecutive failures. Hub may be unreachable. (' + err.message + ')');
} else if (_heartbeatConsecutiveFailures % 50 === 0) {
console.warn('[Heartbeat] ' + _heartbeatConsecutiveFailures + ' consecutive failures. (' + err.message + ')');
}
return { ok: false, error: err.message };
});
}
function startHeartbeat(intervalMs) {
if (_heartbeatTimer) return;
var interval = intervalMs || Number(process.env.HEARTBEAT_INTERVAL_MS) || 120000; // default 2min
_heartbeatStartedAt = Date.now();
// Register with hub first (hello), then start heartbeat loop
sendHelloToHub().then(function (r) {
if (r.ok) console.log('[Heartbeat] Registered with hub. Node: ' + getNodeId());
else console.warn('[Heartbeat] Hello failed (will retry via heartbeat): ' + (r.error || 'unknown'));
}).catch(function () {});
// First heartbeat after a short delay (let hello complete first)
setTimeout(function () {
sendHeartbeat().then(function (r) {
if (r.ok) console.log('[Heartbeat] Connected to hub. Node: ' + getNodeId());
}).catch(function () {});
}, 5000);
_heartbeatTimer = setInterval(function () {
sendHeartbeat().catch(function () {});
}, interval);
if (_heartbeatTimer.unref) _heartbeatTimer.unref();
}
function stopHeartbeat() {
if (_heartbeatTimer) {
clearInterval(_heartbeatTimer);
_heartbeatTimer = null;
}
}
function getHeartbeatStats() {
return {
running: !!_heartbeatTimer,
uptimeMs: _heartbeatStartedAt ? Date.now() - _heartbeatStartedAt : 0,
totalSent: _heartbeatTotalSent,
totalFailed: _heartbeatTotalFailed,
consecutiveFailures: _heartbeatConsecutiveFailures,
};
}
// --- Transport registry ---
var transports = {
file: {
send: fileTransportSend,
receive: fileTransportReceive,
list: fileTransportList,
},
http: {
send: httpTransportSend,
receive: httpTransportReceive,
list: httpTransportList,
},
};
function getTransport(name) {
var n = String(name || process.env.A2A_TRANSPORT || 'file').toLowerCase();
var t = transports[n];
if (!t) throw new Error('Unknown A2A transport: ' + n + '. Available: ' + Object.keys(transports).join(', '));
return t;
}
function registerTransport(name, impl) {
if (!name || typeof name !== 'string') throw new Error('transport name required');
if (!impl || typeof impl.send !== 'function' || typeof impl.receive !== 'function') {
throw new Error('transport must implement send() and receive()');
}
transports[name] = impl;
}
module.exports = {
PROTOCOL_NAME,
PROTOCOL_VERSION,
VALID_MESSAGE_TYPES,
getNodeId,
buildMessage,
buildHello,
buildPublish,
buildPublishBundle,
buildFetch,
buildReport,
buildDecision,
buildRevoke,
isValidProtocolMessage,
unwrapAssetFromMessage,
getTransport,
registerTransport,
fileTransportSend,
fileTransportReceive,
fileTransportList,
httpTransportSend,
httpTransportReceive,
httpTransportList,
sendHeartbeat,
sendHelloToHub,
startHeartbeat,
stopHeartbeat,
getHeartbeatStats,
};
@@ -0,0 +1,35 @@
const fs = require('fs');
const path = require('path');
// Innovation: Self-Correction Analyzer
// Analyze past failures to suggest better future mutations
// Pattern: Meta-learning
function analyzeFailures() {
const memoryPath = path.join(process.cwd(), 'MEMORY.md');
if (!fs.existsSync(memoryPath)) return { status: 'skipped', reason: 'no_memory' };
const content = fs.readFileSync(memoryPath, 'utf8');
const failureRegex = /\|\s*\*\*F\d+\*\*\s*\|\s*Fix\s*\|\s*(.*?)\s*\|\s*\*\*(.*?)\*\*\s*\((.*?)\)\s*\|/g;
const failures = [];
let match;
while ((match = failureRegex.exec(content)) !== null) {
failures.push({
summary: match[1].trim(),
detail: match[2].trim()
});
}
return {
status: 'success',
count: failures.length,
failures: failures.slice(0, 3) // Return top 3 for prompt context
};
}
if (require.main === module) {
console.log(JSON.stringify(analyzeFailures(), null, 2));
}
module.exports = { analyzeFailures };
@@ -0,0 +1,297 @@
const fs = require('fs');
const path = require('path');
const { getGepAssetsDir } = require('./paths');
const { computeAssetId, SCHEMA_VERSION } = require('./contentHash');
function ensureDir(dir) {
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
}
function readJsonIfExists(filePath, fallback) {
try {
if (!fs.existsSync(filePath)) return fallback;
const raw = fs.readFileSync(filePath, 'utf8');
if (!raw.trim()) return fallback;
return JSON.parse(raw);
} catch {
return fallback;
}
}
function writeJsonAtomic(filePath, obj) {
const dir = path.dirname(filePath);
ensureDir(dir);
const tmp = `${filePath}.tmp`;
fs.writeFileSync(tmp, JSON.stringify(obj, null, 2) + '\n', 'utf8');
fs.renameSync(tmp, filePath);
}
// Build a validation command using repo-root-relative paths.
// runValidations() executes with cwd=repoRoot, so require('./src/...')
// resolves correctly without embedding machine-specific absolute paths.
function buildValidationCmd(relModules) {
const paths = relModules.map(m => `./${m}`);
return `node scripts/validate-modules.js ${paths.join(' ')}`;
}
function getDefaultGenes() {
return {
version: 1,
genes: [
{
type: 'Gene', id: 'gene_gep_repair_from_errors', category: 'repair',
signals_match: ['error', 'exception', 'failed', 'unstable'],
preconditions: ['signals contains error-related indicators'],
strategy: [
'Extract structured signals from logs and user instructions',
'Select an existing Gene by signals match (no improvisation)',
'Estimate blast radius (files, lines) before editing',
'Apply smallest reversible patch',
'Validate using declared validation steps; rollback on failure',
'Solidify knowledge: append EvolutionEvent, update Gene/Capsule store',
],
constraints: { max_files: 12, forbidden_paths: ['.git', 'node_modules'] },
validation: [
buildValidationCmd(['src/evolve', 'src/gep/solidify']),
buildValidationCmd(['src/gep/selector', 'src/gep/memoryGraph']),
],
},
{
type: 'Gene', id: 'gene_gep_optimize_prompt_and_assets', category: 'optimize',
signals_match: ['protocol', 'gep', 'prompt', 'audit', 'reusable'],
preconditions: ['need stricter, auditable evolution protocol outputs'],
strategy: [
'Extract signals and determine selection rationale via Selector JSON',
'Prefer reusing existing Gene/Capsule; only create if no match exists',
'Refactor prompt assembly to embed assets (genes, capsules, parent event)',
'Reduce noise and ambiguity; enforce strict output schema',
'Validate by running node index.js run and ensuring no runtime errors',
'Solidify: record EvolutionEvent, update Gene definitions, create Capsule on success',
],
constraints: { max_files: 20, forbidden_paths: ['.git', 'node_modules'] },
validation: [buildValidationCmd(['src/evolve', 'src/gep/prompt'])],
},
],
};
}
function getDefaultCapsules() { return { version: 1, capsules: [] }; }
function genesPath() { return path.join(getGepAssetsDir(), 'genes.json'); }
function capsulesPath() { return path.join(getGepAssetsDir(), 'capsules.json'); }
function capsulesJsonlPath() { return path.join(getGepAssetsDir(), 'capsules.jsonl'); }
function eventsPath() { return path.join(getGepAssetsDir(), 'events.jsonl'); }
function candidatesPath() { return path.join(getGepAssetsDir(), 'candidates.jsonl'); }
function externalCandidatesPath() { return path.join(getGepAssetsDir(), 'external_candidates.jsonl'); }
function failedCapsulesPath() { return path.join(getGepAssetsDir(), 'failed_capsules.json'); }
function loadGenes() {
const jsonGenes = readJsonIfExists(genesPath(), getDefaultGenes()).genes || [];
const jsonlGenes = [];
try {
const p = path.join(getGepAssetsDir(), 'genes.jsonl');
if (fs.existsSync(p)) {
const raw = fs.readFileSync(p, 'utf8');
raw.split('\n').forEach(line => {
if (line.trim()) {
try {
const parsed = JSON.parse(line);
if (parsed && parsed.type === 'Gene') jsonlGenes.push(parsed);
} catch(e) {}
}
});
}
} catch(e) {}
// Combine and deduplicate by ID (JSONL takes precedence if newer, but here we just merge)
const combined = [...jsonGenes, ...jsonlGenes];
const unique = new Map();
combined.forEach(g => {
if (g && g.id) unique.set(String(g.id), g);
});
return Array.from(unique.values());
}
function loadCapsules() {
const legacy = readJsonIfExists(capsulesPath(), getDefaultCapsules()).capsules || [];
const jsonlCapsules = [];
try {
const p = capsulesJsonlPath();
if (fs.existsSync(p)) {
const raw = fs.readFileSync(p, 'utf8');
raw.split('\n').forEach(line => {
if (line.trim()) {
try { jsonlCapsules.push(JSON.parse(line)); } catch(e) {}
}
});
}
} catch(e) {}
// Combine and deduplicate by ID
const combined = [...legacy, ...jsonlCapsules];
const unique = new Map();
combined.forEach(c => {
if (c && c.id) unique.set(String(c.id), c);
});
return Array.from(unique.values());
}
function getLastEventId() {
try {
const p = eventsPath();
if (!fs.existsSync(p)) return null;
const raw = fs.readFileSync(p, 'utf8');
const lines = raw.split('\n').map(l => l.trim()).filter(Boolean);
if (lines.length === 0) return null;
const last = JSON.parse(lines[lines.length - 1]);
return last && typeof last.id === 'string' ? last.id : null;
} catch { return null; }
}
function readAllEvents() {
try {
const p = eventsPath();
if (!fs.existsSync(p)) return [];
const raw = fs.readFileSync(p, 'utf8');
return raw.split('\n').map(l => l.trim()).filter(Boolean).map(l => {
try { return JSON.parse(l); } catch { return null; }
}).filter(Boolean);
} catch { return []; }
}
function appendEventJsonl(eventObj) {
const dir = getGepAssetsDir(); ensureDir(dir);
fs.appendFileSync(eventsPath(), JSON.stringify(eventObj) + '\n', 'utf8');
}
function appendCandidateJsonl(candidateObj) {
const dir = getGepAssetsDir(); ensureDir(dir);
fs.appendFileSync(candidatesPath(), JSON.stringify(candidateObj) + '\n', 'utf8');
}
function appendExternalCandidateJsonl(obj) {
const dir = getGepAssetsDir(); ensureDir(dir);
fs.appendFileSync(externalCandidatesPath(), JSON.stringify(obj) + '\n', 'utf8');
}
function readRecentCandidates(limit = 20) {
try {
const p = candidatesPath();
if (!fs.existsSync(p)) return [];
const raw = fs.readFileSync(p, 'utf8');
const lines = raw.split('\n').map(l => l.trim()).filter(Boolean);
return lines.slice(Math.max(0, lines.length - limit)).map(l => {
try { return JSON.parse(l); } catch { return null; }
}).filter(Boolean);
} catch { return []; }
}
function readRecentExternalCandidates(limit = 50) {
try {
const p = externalCandidatesPath();
if (!fs.existsSync(p)) return [];
const raw = fs.readFileSync(p, 'utf8');
const lines = raw.split('\n').map(l => l.trim()).filter(Boolean);
return lines.slice(Math.max(0, lines.length - limit)).map(l => {
try { return JSON.parse(l); } catch { return null; }
}).filter(Boolean);
} catch { return []; }
}
// Safety net: ensure schema_version and asset_id are present before writing.
function ensureSchemaFields(obj) {
if (!obj || typeof obj !== 'object') return obj;
if (!obj.schema_version) obj.schema_version = SCHEMA_VERSION;
if (!obj.asset_id) { try { obj.asset_id = computeAssetId(obj); } catch (e) {} }
return obj;
}
function upsertGene(geneObj) {
ensureSchemaFields(geneObj);
const current = readJsonIfExists(genesPath(), getDefaultGenes());
const genes = Array.isArray(current.genes) ? current.genes : [];
const idx = genes.findIndex(g => g && g.id === geneObj.id);
if (idx >= 0) genes[idx] = geneObj; else genes.push(geneObj);
writeJsonAtomic(genesPath(), { version: current.version || 1, genes });
}
function appendCapsule(capsuleObj) {
ensureSchemaFields(capsuleObj);
const current = readJsonIfExists(capsulesPath(), getDefaultCapsules());
const capsules = Array.isArray(current.capsules) ? current.capsules : [];
capsules.push(capsuleObj);
writeJsonAtomic(capsulesPath(), { version: current.version || 1, capsules });
}
function upsertCapsule(capsuleObj) {
if (!capsuleObj || capsuleObj.type !== 'Capsule' || !capsuleObj.id) return;
ensureSchemaFields(capsuleObj);
const current = readJsonIfExists(capsulesPath(), getDefaultCapsules());
const capsules = Array.isArray(current.capsules) ? current.capsules : [];
const idx = capsules.findIndex(c => c && c.type === 'Capsule' && String(c.id) === String(capsuleObj.id));
if (idx >= 0) capsules[idx] = capsuleObj; else capsules.push(capsuleObj);
writeJsonAtomic(capsulesPath(), { version: current.version || 1, capsules });
}
var FAILED_CAPSULES_MAX = 200;
var FAILED_CAPSULES_TRIM_TO = 100;
function getDefaultFailedCapsules() { return { version: 1, failed_capsules: [] }; }
function appendFailedCapsule(capsuleObj) {
if (!capsuleObj || typeof capsuleObj !== 'object') return;
ensureSchemaFields(capsuleObj);
var current = readJsonIfExists(failedCapsulesPath(), getDefaultFailedCapsules());
var list = Array.isArray(current.failed_capsules) ? current.failed_capsules : [];
list.push(capsuleObj);
if (list.length > FAILED_CAPSULES_MAX) {
list = list.slice(list.length - FAILED_CAPSULES_TRIM_TO);
}
writeJsonAtomic(failedCapsulesPath(), { version: current.version || 1, failed_capsules: list });
}
function readRecentFailedCapsules(limit) {
var n = Number.isFinite(Number(limit)) && Number(limit) > 0 ? Number(limit) : 50;
try {
var current = readJsonIfExists(failedCapsulesPath(), getDefaultFailedCapsules());
var list = Array.isArray(current.failed_capsules) ? current.failed_capsules : [];
return list.slice(Math.max(0, list.length - n));
} catch (e) {
return [];
}
}
// Ensure all expected asset files exist on startup.
// Creates empty files for optional append-only stores so that
// external grep/read commands never fail with "No such file or directory".
function ensureAssetFiles() {
const dir = getGepAssetsDir();
ensureDir(dir);
const files = [
{ path: genesPath(), defaultContent: JSON.stringify(getDefaultGenes(), null, 2) + '\n' },
{ path: capsulesPath(), defaultContent: JSON.stringify(getDefaultCapsules(), null, 2) + '\n' },
{ path: path.join(dir, 'genes.jsonl'), defaultContent: '' },
{ path: eventsPath(), defaultContent: '' },
{ path: candidatesPath(), defaultContent: '' },
{ path: failedCapsulesPath(), defaultContent: JSON.stringify(getDefaultFailedCapsules(), null, 2) + '\n' },
];
for (const f of files) {
if (!fs.existsSync(f.path)) {
try {
fs.writeFileSync(f.path, f.defaultContent, 'utf8');
} catch (e) {
// Non-fatal: log but continue
console.error(`[AssetStore] Failed to create ${f.path}: ${e.message}`);
}
}
}
}
module.exports = {
loadGenes, loadCapsules, readAllEvents, getLastEventId,
appendEventJsonl, appendCandidateJsonl, appendExternalCandidateJsonl,
readRecentCandidates, readRecentExternalCandidates,
upsertGene, appendCapsule, upsertCapsule,
appendFailedCapsule, readRecentFailedCapsules,
genesPath, capsulesPath, eventsPath, candidatesPath, externalCandidatesPath, failedCapsulesPath,
ensureAssetFiles, buildValidationCmd,
};
@@ -0,0 +1,36 @@
const { computeAssetId, SCHEMA_VERSION } = require('./contentHash');
/**
* Format asset preview for prompt inclusion.
* Handles stringified JSON, arrays, and error cases gracefully.
*/
function formatAssetPreview(preview) {
if (!preview) return '(none)';
if (typeof preview === 'string') {
try {
const parsed = JSON.parse(preview);
if (Array.isArray(parsed) && parsed.length > 0) {
return JSON.stringify(parsed, null, 2);
}
return preview; // Keep as string if not array or empty
} catch (e) {
return preview; // Keep as string if parse fails
}
}
return JSON.stringify(preview, null, 2);
}
/**
* Validate and normalize an asset object.
* Ensures schema version and ID are present.
*/
function normalizeAsset(asset) {
if (!asset || typeof asset !== 'object') return asset;
if (!asset.schema_version) asset.schema_version = SCHEMA_VERSION;
if (!asset.asset_id) {
try { asset.asset_id = computeAssetId(asset); } catch (e) {}
}
return asset;
}
module.exports = { formatAssetPreview, normalizeAsset };
@@ -0,0 +1,71 @@
const fs = require('fs');
const path = require('path');
function ensureDir(dir) {
try {
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
} catch (e) {}
}
function nowIso() {
return new Date().toISOString();
}
function clip(text, maxChars) {
const s = String(text || '');
const n = Number(maxChars);
if (!Number.isFinite(n) || n <= 0) return s;
if (s.length <= n) return s;
return s.slice(0, Math.max(0, n - 40)) + '\n...[TRUNCATED]...\n';
}
function writePromptArtifact({ memoryDir, cycleId, runId, prompt, meta }) {
const dir = String(memoryDir || '').trim();
if (!dir) throw new Error('bridge: missing memoryDir');
ensureDir(dir);
const safeCycle = String(cycleId || 'cycle').replace(/[^a-zA-Z0-9_\-#]/g, '_');
const safeRun = String(runId || Date.now()).replace(/[^a-zA-Z0-9_\-]/g, '_');
const base = `gep_prompt_${safeCycle}_${safeRun}`;
const promptPath = path.join(dir, base + '.txt');
const metaPath = path.join(dir, base + '.json');
fs.writeFileSync(promptPath, String(prompt || ''), 'utf8');
fs.writeFileSync(
metaPath,
JSON.stringify(
{
type: 'GepPromptArtifact',
at: nowIso(),
cycle_id: cycleId || null,
run_id: runId || null,
prompt_path: promptPath,
meta: meta && typeof meta === 'object' ? meta : null,
},
null,
2
) + '\n',
'utf8'
);
return { promptPath, metaPath };
}
function renderSessionsSpawnCall({ task, agentId, label, cleanup }) {
const t = String(task || '').trim();
if (!t) throw new Error('bridge: missing task');
const a = String(agentId || 'main');
const l = String(label || 'gep_bridge');
const c = cleanup ? String(cleanup) : 'delete';
// Output valid JSON so wrappers can parse with JSON.parse (not regex).
// The wrapper uses lastIndexOf('sessions_spawn(') + JSON.parse to extract the task.
const payload = JSON.stringify({ task: t, agentId: a, cleanup: c, label: l });
return `sessions_spawn(${payload})`;
}
module.exports = {
clip,
writePromptArtifact,
renderSessionsSpawnCall,
};
@@ -0,0 +1,142 @@
function stableHash(input) {
// Deterministic lightweight hash (not cryptographic).
const s = String(input || '');
let h = 2166136261;
for (let i = 0; i < s.length; i++) {
h ^= s.charCodeAt(i);
h = Math.imul(h, 16777619);
}
return (h >>> 0).toString(16).padStart(8, '0');
}
function clip(text, maxChars) {
const s = String(text || '');
if (!maxChars || s.length <= maxChars) return s;
return s.slice(0, Math.max(0, maxChars - 20)) + ' ...[TRUNCATED]';
}
function toLines(text) {
return String(text || '')
.split('\n')
.map(l => l.trimEnd())
.filter(Boolean);
}
function extractToolCalls(transcript) {
const lines = toLines(transcript);
const calls = [];
for (const line of lines) {
const m = line.match(/\[TOOL:\s*([^\]]+)\]/i);
if (m && m[1]) calls.push(m[1].trim());
}
return calls;
}
function countFreq(items) {
const map = new Map();
for (const it of items) map.set(it, (map.get(it) || 0) + 1);
return map;
}
function buildFiveQuestionsShape({ title, signals, evidence }) {
// Keep it short and structured; this is a template, not a perfect inference.
const input = 'Recent session transcript + memory snippets + user instructions';
const output = 'A safe, auditable evolution patch guided by GEP assets';
const invariants = 'Protocol order, small reversible patches, validation, append-only events';
const params = `Signals: ${Array.isArray(signals) ? signals.join(', ') : ''}`.trim();
const failurePoints = 'Missing signals, over-broad changes, skipped validation, missing knowledge solidification';
return {
title: String(title || '').slice(0, 120),
input,
output,
invariants,
params: params || 'Signals: (none)',
failure_points: failurePoints,
evidence: clip(evidence, 240),
};
}
function extractCapabilityCandidates({ recentSessionTranscript, signals }) {
const candidates = [];
const toolCalls = extractToolCalls(recentSessionTranscript);
const freq = countFreq(toolCalls);
for (const [tool, count] of freq.entries()) {
if (count < 2) continue;
const title = `Repeated tool usage: ${tool}`;
const evidence = `Observed ${count} occurrences of tool call marker for ${tool}.`;
const shape = buildFiveQuestionsShape({ title, signals, evidence });
candidates.push({
type: 'CapabilityCandidate',
id: `cand_${stableHash(title)}`,
title,
source: 'transcript',
created_at: new Date().toISOString(),
signals: Array.isArray(signals) ? signals : [],
shape,
});
}
// Signals-as-candidates: capture recurring pain points as reusable capability shapes.
const signalList = Array.isArray(signals) ? signals : [];
const signalCandidates = [
// Defensive signals
{ signal: 'log_error', title: 'Repair recurring runtime errors' },
{ signal: 'protocol_drift', title: 'Prevent protocol drift and enforce auditable outputs' },
{ signal: 'windows_shell_incompatible', title: 'Avoid platform-specific shell assumptions (Windows compatibility)' },
{ signal: 'session_logs_missing', title: 'Harden session log detection and fallback behavior' },
// Opportunity signals (innovation)
{ signal: 'user_feature_request', title: 'Implement user-requested feature' },
{ signal: 'user_improvement_suggestion', title: 'Apply user improvement suggestion' },
{ signal: 'perf_bottleneck', title: 'Resolve performance bottleneck' },
{ signal: 'capability_gap', title: 'Fill capability gap' },
{ signal: 'stable_success_plateau', title: 'Explore new strategies during stability plateau' },
{ signal: 'external_opportunity', title: 'Evaluate external A2A asset for local adoption' },
];
for (const sc of signalCandidates) {
if (!signalList.some(s => s === sc.signal || s.startsWith(sc.signal + ':'))) continue;
const evidence = `Signal present: ${sc.signal}`;
const shape = buildFiveQuestionsShape({ title: sc.title, signals, evidence });
candidates.push({
type: 'CapabilityCandidate',
id: `cand_${stableHash(sc.signal)}`,
title: sc.title,
source: 'signals',
created_at: new Date().toISOString(),
signals: signalList,
shape,
});
}
// Dedup by id
const seen = new Set();
return candidates.filter(c => {
if (!c || !c.id) return false;
if (seen.has(c.id)) return false;
seen.add(c.id);
return true;
});
}
function renderCandidatesPreview(candidates, maxChars = 1400) {
const list = Array.isArray(candidates) ? candidates : [];
const lines = [];
for (const c of list) {
const s = c && c.shape ? c.shape : {};
lines.push(`- ${c.id}: ${c.title}`);
lines.push(` - input: ${s.input || ''}`);
lines.push(` - output: ${s.output || ''}`);
lines.push(` - invariants: ${s.invariants || ''}`);
lines.push(` - params: ${s.params || ''}`);
lines.push(` - failure_points: ${s.failure_points || ''}`);
if (s.evidence) lines.push(` - evidence: ${s.evidence}`);
}
return clip(lines.join('\n'), maxChars);
}
module.exports = {
extractCapabilityCandidates,
renderCandidatesPreview,
};
@@ -0,0 +1,65 @@
// Content-addressable hashing for GEP assets.
// Provides canonical JSON serialization and SHA-256 based asset IDs.
// This enables deduplication, tamper detection, and cross-node consistency.
const crypto = require('crypto');
// Schema version for all GEP asset types.
// Bump MINOR for additive fields; MAJOR for breaking changes.
const SCHEMA_VERSION = '1.6.0';
// Canonical JSON: deterministic serialization with sorted keys at all levels.
// Arrays preserve order; non-finite numbers become null; undefined becomes null.
function canonicalize(obj) {
if (obj === null || obj === undefined) return 'null';
if (typeof obj === 'boolean') return obj ? 'true' : 'false';
if (typeof obj === 'number') {
if (!Number.isFinite(obj)) return 'null';
return String(obj);
}
if (typeof obj === 'string') return JSON.stringify(obj);
if (Array.isArray(obj)) {
return '[' + obj.map(canonicalize).join(',') + ']';
}
if (typeof obj === 'object') {
const keys = Object.keys(obj).sort();
const pairs = [];
for (const k of keys) {
pairs.push(JSON.stringify(k) + ':' + canonicalize(obj[k]));
}
return '{' + pairs.join(',') + '}';
}
return 'null';
}
// Compute a content-addressable asset ID.
// Excludes self-referential fields (asset_id itself) from the hash input.
// Returns "sha256:<hex>".
function computeAssetId(obj, excludeFields) {
if (!obj || typeof obj !== 'object') return null;
const exclude = new Set(Array.isArray(excludeFields) ? excludeFields : ['asset_id']);
const clean = {};
for (const k of Object.keys(obj)) {
if (exclude.has(k)) continue;
clean[k] = obj[k];
}
const canonical = canonicalize(clean);
const hash = crypto.createHash('sha256').update(canonical, 'utf8').digest('hex');
return 'sha256:' + hash;
}
// Verify that an object's asset_id matches its content.
function verifyAssetId(obj) {
if (!obj || typeof obj !== 'object') return false;
const claimed = obj.asset_id;
if (!claimed || typeof claimed !== 'string') return false;
const computed = computeAssetId(obj);
return claimed === computed;
}
module.exports = {
SCHEMA_VERSION,
canonicalize,
computeAssetId,
verifyAssetId,
};
@@ -0,0 +1,209 @@
// Stable device identifier for node identity.
// Generates a hardware-based fingerprint that persists across directory changes,
// reboots, and evolver upgrades. Used by getNodeId() and env_fingerprint.
//
// Priority chain:
// 1. EVOMAP_DEVICE_ID env var (explicit override, recommended for containers)
// 2. ~/.evomap/device_id file (persisted from previous run)
// 3. <project>/.evomap_device_id (fallback persist path for containers w/o $HOME)
// 4. /etc/machine-id (Linux, set at OS install)
// 5. IOPlatformUUID (macOS hardware UUID)
// 6. Docker/OCI container ID (from /proc/self/cgroup or /proc/self/mountinfo)
// 7. hostname + MAC addresses (network-based fallback)
// 8. random 128-bit hex (last resort, persisted immediately)
const os = require('os');
const fs = require('fs');
const path = require('path');
const crypto = require('crypto');
const DEVICE_ID_DIR = path.join(os.homedir(), '.evomap');
const DEVICE_ID_FILE = path.join(DEVICE_ID_DIR, 'device_id');
const LOCAL_DEVICE_ID_FILE = path.resolve(__dirname, '..', '..', '.evomap_device_id');
let _cachedDeviceId = null;
const DEVICE_ID_RE = /^[a-f0-9]{16,64}$/;
function isContainer() {
try {
if (fs.existsSync('/.dockerenv')) return true;
} catch {}
try {
const cgroup = fs.readFileSync('/proc/1/cgroup', 'utf8');
if (/docker|kubepods|containerd|cri-o|lxc|ecs/i.test(cgroup)) return true;
} catch {}
try {
if (fs.existsSync('/run/.containerenv')) return true;
} catch {}
return false;
}
function readMachineId() {
try {
const mid = fs.readFileSync('/etc/machine-id', 'utf8').trim();
if (mid && mid.length >= 16) return mid;
} catch {}
if (process.platform === 'darwin') {
try {
const { execFileSync } = require('child_process');
const raw = execFileSync('ioreg', ['-rd1', '-c', 'IOPlatformExpertDevice'], {
encoding: 'utf8',
timeout: 3000,
stdio: ['ignore', 'pipe', 'ignore'],
});
const match = raw.match(/"IOPlatformUUID"\s*=\s*"([^"]+)"/);
if (match && match[1]) return match[1];
} catch {}
}
return null;
}
// Extract Docker/OCI container ID from cgroup or mountinfo.
// The container ID is 64-char hex and stable for the lifetime of the container.
// Returns null on non-container hosts or if parsing fails.
function readContainerId() {
// Method 1: /proc/self/cgroup (works for cgroup v1 and most Docker setups)
try {
const cgroup = fs.readFileSync('/proc/self/cgroup', 'utf8');
const match = cgroup.match(/[a-f0-9]{64}/);
if (match) return match[0];
} catch {}
// Method 2: /proc/self/mountinfo (works for cgroup v2 / containerd)
try {
const mountinfo = fs.readFileSync('/proc/self/mountinfo', 'utf8');
const match = mountinfo.match(/[a-f0-9]{64}/);
if (match) return match[0];
} catch {}
// Method 3: hostname in Docker defaults to short container ID (12 hex chars)
if (isContainer()) {
const hostname = os.hostname();
if (/^[a-f0-9]{12,64}$/.test(hostname)) return hostname;
}
return null;
}
function getMacAddresses() {
const ifaces = os.networkInterfaces();
const macs = [];
for (const name of Object.keys(ifaces)) {
for (const iface of ifaces[name]) {
if (!iface.internal && iface.mac && iface.mac !== '00:00:00:00:00:00') {
macs.push(iface.mac);
}
}
}
macs.sort();
return macs;
}
function generateDeviceId() {
const machineId = readMachineId();
if (machineId) {
return crypto.createHash('sha256').update('evomap:' + machineId).digest('hex').slice(0, 32);
}
// Container ID: stable for the container's lifetime, but changes on re-create.
// Still better than random for keeping identity within a single deployment.
const containerId = readContainerId();
if (containerId) {
return crypto.createHash('sha256').update('evomap:container:' + containerId).digest('hex').slice(0, 32);
}
const macs = getMacAddresses();
if (macs.length > 0) {
const raw = os.hostname() + '|' + macs.join(',');
return crypto.createHash('sha256').update('evomap:' + raw).digest('hex').slice(0, 32);
}
return crypto.randomBytes(16).toString('hex');
}
function persistDeviceId(id) {
// Try primary path (~/.evomap/device_id)
try {
if (!fs.existsSync(DEVICE_ID_DIR)) {
fs.mkdirSync(DEVICE_ID_DIR, { recursive: true, mode: 0o700 });
}
fs.writeFileSync(DEVICE_ID_FILE, id, { encoding: 'utf8', mode: 0o600 });
return;
} catch {}
// Fallback: project-local file (useful in containers where $HOME is ephemeral
// but the project directory is mounted as a volume)
try {
fs.writeFileSync(LOCAL_DEVICE_ID_FILE, id, { encoding: 'utf8', mode: 0o600 });
return;
} catch {}
console.error(
'[evolver] WARN: failed to persist device_id to ' + DEVICE_ID_FILE +
' or ' + LOCAL_DEVICE_ID_FILE +
' -- node identity may change on restart.' +
' Set EVOMAP_DEVICE_ID env var for stable identity in containers.'
);
}
function loadPersistedDeviceId() {
// Try primary path
try {
if (fs.existsSync(DEVICE_ID_FILE)) {
const id = fs.readFileSync(DEVICE_ID_FILE, 'utf8').trim();
if (id && DEVICE_ID_RE.test(id)) return id;
}
} catch {}
// Try project-local fallback
try {
if (fs.existsSync(LOCAL_DEVICE_ID_FILE)) {
const id = fs.readFileSync(LOCAL_DEVICE_ID_FILE, 'utf8').trim();
if (id && DEVICE_ID_RE.test(id)) return id;
}
} catch {}
return null;
}
function getDeviceId() {
if (_cachedDeviceId) return _cachedDeviceId;
// 1. Env var override (validated)
if (process.env.EVOMAP_DEVICE_ID) {
const envId = String(process.env.EVOMAP_DEVICE_ID).trim().toLowerCase();
if (DEVICE_ID_RE.test(envId)) {
_cachedDeviceId = envId;
return _cachedDeviceId;
}
}
// 2. Previously persisted (checks both ~/.evomap/ and project-local)
const persisted = loadPersistedDeviceId();
if (persisted) {
_cachedDeviceId = persisted;
return _cachedDeviceId;
}
// 3. Generate from hardware / container metadata and persist
const inContainer = isContainer();
const generated = generateDeviceId();
persistDeviceId(generated);
_cachedDeviceId = generated;
if (inContainer && !process.env.EVOMAP_DEVICE_ID) {
console.error(
'[evolver] NOTE: running in a container without EVOMAP_DEVICE_ID.' +
' A device_id was auto-generated and persisted, but for guaranteed' +
' cross-restart stability, set EVOMAP_DEVICE_ID as an env var' +
' or mount a persistent volume at ~/.evomap/'
);
}
return _cachedDeviceId;
}
module.exports = { getDeviceId, isContainer };
@@ -0,0 +1,68 @@
// Environment fingerprint capture for GEP assets.
// Records the runtime environment so that cross-environment diffusion
// success rates (GDI) can be measured scientifically.
const os = require('os');
const fs = require('fs');
const path = require('path');
const crypto = require('crypto');
const { getRepoRoot } = require('./paths');
const { getDeviceId, isContainer } = require('./deviceId');
// Capture a structured environment fingerprint.
// This is embedded into Capsules, EvolutionEvents, and ValidationReports.
function captureEnvFingerprint() {
const repoRoot = getRepoRoot();
let pkgVersion = null;
let pkgName = null;
try {
const raw = fs.readFileSync(path.join(repoRoot, 'package.json'), 'utf8');
const pkg = JSON.parse(raw);
pkgVersion = pkg && pkg.version ? String(pkg.version) : null;
pkgName = pkg && pkg.name ? String(pkg.name) : null;
} catch (e) {}
const region = (process.env.EVOLVER_REGION || '').trim().toLowerCase().slice(0, 5) || undefined;
return {
device_id: getDeviceId(),
node_version: process.version,
platform: process.platform,
arch: process.arch,
os_release: os.release(),
hostname: crypto.createHash('sha256').update(os.hostname()).digest('hex').slice(0, 12),
evolver_version: pkgVersion,
client: pkgName || 'evolver',
client_version: pkgVersion,
region: region,
cwd: crypto.createHash('sha256').update(process.cwd()).digest('hex').slice(0, 12),
container: isContainer(),
};
}
// Compute a short fingerprint key for comparison and grouping.
// Two nodes with the same key are considered "same environment class".
function envFingerprintKey(fp) {
if (!fp || typeof fp !== 'object') return 'unknown';
const parts = [
fp.device_id || '',
fp.node_version || '',
fp.platform || '',
fp.arch || '',
fp.hostname || '',
fp.client || fp.evolver_version || '',
fp.client_version || fp.evolver_version || '',
].join('|');
return crypto.createHash('sha256').update(parts, 'utf8').digest('hex').slice(0, 16);
}
// Check if two fingerprints are from the same environment class.
function isSameEnvClass(fpA, fpB) {
return envFingerprintKey(fpA) === envFingerprintKey(fpB);
}
module.exports = {
captureEnvFingerprint,
envFingerprintKey,
isSameEnvClass,
};
@@ -0,0 +1,133 @@
// Hub Search-First Evolution: query evomap-hub for reusable solutions before local solve.
//
// Flow: extractSignals() -> hubSearch(signals) -> if hit: reuse; if miss: normal evolve
// Two modes: direct (skip local reasoning) | reference (inject into prompt as strong hint)
const { getNodeId } = require('./a2aProtocol');
const DEFAULT_MIN_REUSE_SCORE = 0.72;
const DEFAULT_REUSE_MODE = 'reference'; // 'direct' | 'reference'
function getHubUrl() {
return (process.env.A2A_HUB_URL || '').replace(/\/+$/, '');
}
function getReuseMode() {
const m = String(process.env.EVOLVER_REUSE_MODE || DEFAULT_REUSE_MODE).toLowerCase();
return m === 'direct' ? 'direct' : 'reference';
}
function getMinReuseScore() {
const n = Number(process.env.EVOLVER_MIN_REUSE_SCORE);
return Number.isFinite(n) && n > 0 ? n : DEFAULT_MIN_REUSE_SCORE;
}
/**
* Score a hub asset for local reuse quality.
* rank = confidence * max(success_streak, 1) * (reputation / 100)
*/
function scoreHubResult(asset) {
const confidence = Number(asset.confidence) || 0;
const streak = Math.max(Number(asset.success_streak) || 0, 1);
// Reputation is included in asset from hub ranked endpoint; default 50 if missing
const reputation = Number(asset.reputation_score) || 50;
return confidence * streak * (reputation / 100);
}
/**
* Pick the best matching asset above the threshold.
* Returns { match, score, mode } or null if nothing qualifies.
*/
function pickBestMatch(results, threshold) {
if (!Array.isArray(results) || results.length === 0) return null;
let best = null;
let bestScore = 0;
for (const asset of results) {
// Only consider promoted assets
if (asset.status && asset.status !== 'promoted') continue;
const s = scoreHubResult(asset);
if (s > bestScore) {
bestScore = s;
best = asset;
}
}
if (!best || bestScore < threshold) return null;
return {
match: best,
score: Math.round(bestScore * 1000) / 1000,
mode: getReuseMode(),
};
}
/**
* Search the hub for reusable capsules matching the given signals.
* Returns { hit: true, match, score, mode } or { hit: false }.
*/
async function hubSearch(signals, opts) {
const hubUrl = getHubUrl();
if (!hubUrl) return { hit: false, reason: 'no_hub_url' };
const signalList = Array.isArray(signals) ? signals.filter(Boolean) : [];
if (signalList.length === 0) return { hit: false, reason: 'no_signals' };
const threshold = (opts && Number.isFinite(opts.threshold)) ? opts.threshold : getMinReuseScore();
const limit = (opts && Number.isFinite(opts.limit)) ? opts.limit : 5;
const timeout = (opts && Number.isFinite(opts.timeoutMs)) ? opts.timeoutMs : 8000;
try {
const params = new URLSearchParams();
params.set('signals', signalList.join(','));
params.set('status', 'promoted');
params.set('limit', String(limit));
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), timeout);
const url = `${hubUrl}/a2a/assets/search?${params.toString()}`;
const res = await fetch(url, {
method: 'GET',
headers: { 'Content-Type': 'application/json' },
signal: controller.signal,
});
clearTimeout(timer);
if (!res.ok) return { hit: false, reason: `hub_http_${res.status}` };
const data = await res.json();
const assets = Array.isArray(data.assets) ? data.assets : [];
if (assets.length === 0) return { hit: false, reason: 'no_results' };
const pick = pickBestMatch(assets, threshold);
if (!pick) return { hit: false, reason: 'below_threshold', candidates: assets.length };
console.log(`[HubSearch] Hit: ${pick.match.asset_id || pick.match.local_id} (score=${pick.score}, mode=${pick.mode})`);
return {
hit: true,
match: pick.match,
score: pick.score,
mode: pick.mode,
asset_id: pick.match.asset_id || null,
source_node_id: pick.match.source_node_id || null,
chain_id: pick.match.chain_id || null,
};
} catch (err) {
// Hub unreachable is non-fatal; fall through to normal evolve
console.log(`[HubSearch] Failed (non-fatal): ${err.message}`);
return { hit: false, reason: 'fetch_error', error: err.message };
}
}
module.exports = {
hubSearch,
scoreHubResult,
pickBestMatch,
getReuseMode,
getMinReuseScore,
getHubUrl,
};
@@ -0,0 +1,771 @@
const fs = require('fs');
const path = require('path');
const { getMemoryDir } = require('./paths');
const { normalizePersonalityState, isValidPersonalityState, personalityKey } = require('./personality');
const { isValidMutation, normalizeMutation } = require('./mutation');
function ensureDir(dir) {
try {
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
} catch (e) {}
}
function stableHash(input) {
const s = String(input || '');
let h = 2166136261;
for (let i = 0; i < s.length; i++) {
h ^= s.charCodeAt(i);
h = Math.imul(h, 16777619);
}
return (h >>> 0).toString(16).padStart(8, '0');
}
function nowIso() {
return new Date().toISOString();
}
function normalizeErrorSignature(text) {
const s = String(text || '').trim();
if (!s) return null;
return (
s
.toLowerCase()
// normalize Windows paths
.replace(/[a-z]:\\[^ \n\r\t]+/gi, '<path>')
// normalize Unix paths
.replace(/\/[^ \n\r\t]+/g, '<path>')
// normalize hex and numbers
.replace(/\b0x[0-9a-f]+\b/gi, '<hex>')
.replace(/\b\d+\b/g, '<n>')
// normalize whitespace
.replace(/\s+/g, ' ')
.slice(0, 220)
);
}
function normalizeSignalsForMatching(signals) {
const list = Array.isArray(signals) ? signals : [];
const out = [];
for (const s of list) {
const str = String(s || '').trim();
if (!str) continue;
if (str.startsWith('errsig:')) {
const norm = normalizeErrorSignature(str.slice('errsig:'.length));
if (norm) out.push(`errsig_norm:${stableHash(norm)}`);
continue;
}
out.push(str);
}
return out;
}
function computeSignalKey(signals) {
// Key must be stable across runs; normalize noisy signatures (paths, numbers).
const list = normalizeSignalsForMatching(signals);
const uniq = Array.from(new Set(list.filter(Boolean))).sort();
return uniq.join('|') || '(none)';
}
function extractErrorSignatureFromSignals(signals) {
// Convention: signals can include "errsig:<raw>" emitted by signals extractor.
const list = Array.isArray(signals) ? signals : [];
for (const s of list) {
const str = String(s || '');
if (str.startsWith('errsig:')) return normalizeErrorSignature(str.slice('errsig:'.length));
}
return null;
}
function memoryGraphPath() {
const { getEvolutionDir } = require('./paths');
const evoDir = getEvolutionDir();
return process.env.MEMORY_GRAPH_PATH || path.join(evoDir, 'memory_graph.jsonl');
}
function memoryGraphStatePath() {
const { getEvolutionDir } = require('./paths');
return path.join(getEvolutionDir(), 'memory_graph_state.json');
}
function appendJsonl(filePath, obj) {
const dir = path.dirname(filePath);
ensureDir(dir);
fs.appendFileSync(filePath, JSON.stringify(obj) + '\n', 'utf8');
}
function readJsonIfExists(filePath, fallback) {
try {
if (!fs.existsSync(filePath)) return fallback;
const raw = fs.readFileSync(filePath, 'utf8');
if (!raw.trim()) return fallback;
return JSON.parse(raw);
} catch (e) {
return fallback;
}
}
function writeJsonAtomic(filePath, obj) {
const dir = path.dirname(filePath);
ensureDir(dir);
const tmp = `${filePath}.tmp`;
fs.writeFileSync(tmp, JSON.stringify(obj, null, 2) + '\n', 'utf8');
fs.renameSync(tmp, filePath);
}
function tryReadMemoryGraphEvents(limitLines = 2000) {
try {
const p = memoryGraphPath();
if (!fs.existsSync(p)) return [];
const raw = fs.readFileSync(p, 'utf8');
const lines = raw
.split('\n')
.map(l => l.trim())
.filter(Boolean);
const recent = lines.slice(Math.max(0, lines.length - limitLines));
return recent
.map(l => {
try {
return JSON.parse(l);
} catch (e) {
return null;
}
})
.filter(Boolean);
} catch (e) {
return [];
}
}
function jaccard(aList, bList) {
const aNorm = normalizeSignalsForMatching(aList);
const bNorm = normalizeSignalsForMatching(bList);
const a = new Set((Array.isArray(aNorm) ? aNorm : []).map(String));
const b = new Set((Array.isArray(bNorm) ? bNorm : []).map(String));
if (a.size === 0 && b.size === 0) return 1;
if (a.size === 0 || b.size === 0) return 0;
let inter = 0;
for (const x of a) if (b.has(x)) inter++;
const union = a.size + b.size - inter;
return union === 0 ? 0 : inter / union;
}
function decayWeight(updatedAtIso, halfLifeDays) {
const hl = Number(halfLifeDays);
if (!Number.isFinite(hl) || hl <= 0) return 1;
const t = Date.parse(updatedAtIso);
if (!Number.isFinite(t)) return 1;
const ageDays = (Date.now() - t) / (1000 * 60 * 60 * 24);
if (!Number.isFinite(ageDays) || ageDays <= 0) return 1;
// Exponential half-life decay: weight = 0.5^(age/hl)
return Math.pow(0.5, ageDays / hl);
}
function aggregateEdges(events) {
// Aggregate by (signal_key, gene_id) from outcome events.
// Laplace smoothing to avoid 0/1 extremes.
const map = new Map();
for (const ev of events) {
if (!ev || ev.type !== 'MemoryGraphEvent') continue;
if (ev.kind !== 'outcome') continue;
const signalKey = ev.signal && ev.signal.key ? String(ev.signal.key) : '(none)';
const geneId = ev.gene && ev.gene.id ? String(ev.gene.id) : null;
if (!geneId) continue;
const k = `${signalKey}::${geneId}`;
const cur = map.get(k) || { signalKey, geneId, success: 0, fail: 0, last_ts: null, last_score: null };
const status = ev.outcome && ev.outcome.status ? String(ev.outcome.status) : 'unknown';
if (status === 'success') cur.success += 1;
else if (status === 'failed') cur.fail += 1;
const ts = ev.ts || ev.created_at || ev.at;
if (ts && (!cur.last_ts || Date.parse(ts) > Date.parse(cur.last_ts))) {
cur.last_ts = ts;
cur.last_score =
ev.outcome && Number.isFinite(Number(ev.outcome.score)) ? Number(ev.outcome.score) : cur.last_score;
}
map.set(k, cur);
}
return map;
}
function aggregateGeneOutcomes(events) {
// Aggregate by gene_id from outcome events (gene -> outcome success probability).
const map = new Map();
for (const ev of events) {
if (!ev || ev.type !== 'MemoryGraphEvent') continue;
if (ev.kind !== 'outcome') continue;
const geneId = ev.gene && ev.gene.id ? String(ev.gene.id) : null;
if (!geneId) continue;
const cur = map.get(geneId) || { geneId, success: 0, fail: 0, last_ts: null, last_score: null };
const status = ev.outcome && ev.outcome.status ? String(ev.outcome.status) : 'unknown';
if (status === 'success') cur.success += 1;
else if (status === 'failed') cur.fail += 1;
const ts = ev.ts || ev.created_at || ev.at;
if (ts && (!cur.last_ts || Date.parse(ts) > Date.parse(cur.last_ts))) {
cur.last_ts = ts;
cur.last_score =
ev.outcome && Number.isFinite(Number(ev.outcome.score)) ? Number(ev.outcome.score) : cur.last_score;
}
map.set(geneId, cur);
}
return map;
}
function edgeExpectedSuccess(edge, opts) {
const e = edge || { success: 0, fail: 0, last_ts: null };
const succ = Number(e.success) || 0;
const fail = Number(e.fail) || 0;
const total = succ + fail;
const p = (succ + 1) / (total + 2); // Laplace smoothing
const halfLifeDays = opts && Number.isFinite(Number(opts.half_life_days)) ? Number(opts.half_life_days) : 30;
const w = decayWeight(e.last_ts || '', halfLifeDays);
return { p, w, total, value: p * w };
}
function getMemoryAdvice({ signals, genes, driftEnabled }) {
const events = tryReadMemoryGraphEvents(2000);
const edges = aggregateEdges(events);
const geneOutcomes = aggregateGeneOutcomes(events);
const curSignals = Array.isArray(signals) ? signals : [];
const curKey = computeSignalKey(curSignals);
const bannedGeneIds = new Set();
const scoredGeneIds = [];
// Similarity: consider exact key first, then any key with overlap.
const seenKeys = new Set();
const candidateKeys = [];
candidateKeys.push({ key: curKey, sim: 1 });
seenKeys.add(curKey);
for (const ev of events) {
if (!ev || ev.type !== 'MemoryGraphEvent') continue;
const k = ev.signal && ev.signal.key ? String(ev.signal.key) : '(none)';
if (seenKeys.has(k)) continue;
const sigs = ev.signal && Array.isArray(ev.signal.signals) ? ev.signal.signals : [];
const sim = jaccard(curSignals, sigs);
if (sim >= 0.34) {
candidateKeys.push({ key: k, sim });
seenKeys.add(k);
}
}
const byGene = new Map();
for (const ck of candidateKeys) {
for (const g of Array.isArray(genes) ? genes : []) {
if (!g || g.type !== 'Gene' || !g.id) continue;
const k = `${ck.key}::${g.id}`;
const edge = edges.get(k);
const cur = byGene.get(g.id) || { geneId: g.id, best: 0, attempts: 0, prior: 0, prior_attempts: 0 };
// Signal->Gene edge score (if available)
if (edge) {
const ex = edgeExpectedSuccess(edge, { half_life_days: 30 });
const weighted = ex.value * ck.sim;
if (weighted > cur.best) cur.best = weighted;
cur.attempts = Math.max(cur.attempts, ex.total);
}
// Gene->Outcome prior (independent of signal): stabilizer when signal edges are sparse.
const gEdge = geneOutcomes.get(String(g.id));
if (gEdge) {
const gx = edgeExpectedSuccess(gEdge, { half_life_days: 45 });
cur.prior = Math.max(cur.prior, gx.value);
cur.prior_attempts = Math.max(cur.prior_attempts, gx.total);
}
byGene.set(g.id, cur);
}
}
for (const [geneId, info] of byGene.entries()) {
const combined = info.best > 0 ? info.best + info.prior * 0.12 : info.prior * 0.4;
scoredGeneIds.push({ geneId, score: combined, attempts: info.attempts, prior: info.prior });
// Low-efficiency path suppression (unless drift is explicit).
if (!driftEnabled && info.attempts >= 2 && info.best < 0.18) {
bannedGeneIds.add(geneId);
}
// Also suppress genes with consistently poor global outcomes when signal edges are sparse.
if (!driftEnabled && info.attempts < 2 && info.prior_attempts >= 3 && info.prior < 0.12) {
bannedGeneIds.add(geneId);
}
}
scoredGeneIds.sort((a, b) => b.score - a.score);
const preferredGeneId = scoredGeneIds.length ? scoredGeneIds[0].geneId : null;
const explanation = [];
if (preferredGeneId) explanation.push(`memory_prefer:${preferredGeneId}`);
if (bannedGeneIds.size) explanation.push(`memory_ban:${Array.from(bannedGeneIds).slice(0, 6).join(',')}`);
if (preferredGeneId) {
const top = scoredGeneIds.find(x => x && x.geneId === preferredGeneId);
if (top && Number.isFinite(Number(top.prior)) && top.prior > 0) explanation.push(`gene_prior:${top.prior.toFixed(3)}`);
}
if (driftEnabled) explanation.push('random_drift:enabled');
return {
currentSignalKey: curKey,
preferredGeneId,
bannedGeneIds,
explanation,
};
}
function recordSignalSnapshot({ signals, observations }) {
const signalKey = computeSignalKey(signals);
const ts = nowIso();
const errsig = extractErrorSignatureFromSignals(signals);
const ev = {
type: 'MemoryGraphEvent',
kind: 'signal',
id: `mge_${Date.now()}_${stableHash(`${signalKey}|signal|${ts}`)}`,
ts,
signal: {
key: signalKey,
signals: Array.isArray(signals) ? signals : [],
error_signature: errsig || null,
},
observed: observations && typeof observations === 'object' ? observations : null,
};
appendJsonl(memoryGraphPath(), ev);
return ev;
}
function buildHypothesisText({ signalKey, signals, geneId, geneCategory, driftEnabled }) {
const sigCount = Array.isArray(signals) ? signals.length : 0;
const drift = driftEnabled ? 'drift' : 'directed';
const g = geneId ? `${geneId}${geneCategory ? `(${geneCategory})` : ''}` : '(none)';
return `Given signal_key=${signalKey} with ${sigCount} signals, selecting gene=${g} under mode=${drift} is expected to reduce repeated errors and improve stability.`;
}
function recordHypothesis({
signals,
mutation,
personality_state,
selectedGene,
selector,
driftEnabled,
selectedBy,
capsulesUsed,
observations,
}) {
const signalKey = computeSignalKey(signals);
const geneId = selectedGene && selectedGene.id ? String(selectedGene.id) : null;
const geneCategory = selectedGene && selectedGene.category ? String(selectedGene.category) : null;
const ts = nowIso();
const errsig = extractErrorSignatureFromSignals(signals);
const hypothesisId = `hyp_${Date.now()}_${stableHash(`${signalKey}|${geneId || 'none'}|${ts}`)}`;
const personalityState = personality_state || null;
const mutNorm = mutation && isValidMutation(mutation) ? normalizeMutation(mutation) : null;
const psNorm = personalityState && isValidPersonalityState(personalityState) ? normalizePersonalityState(personalityState) : null;
const ev = {
type: 'MemoryGraphEvent',
kind: 'hypothesis',
id: `mge_${Date.now()}_${stableHash(`${hypothesisId}|${ts}`)}`,
ts,
signal: { key: signalKey, signals: Array.isArray(signals) ? signals : [], error_signature: errsig || null },
hypothesis: {
id: hypothesisId,
text: buildHypothesisText({ signalKey, signals, geneId, geneCategory, driftEnabled }),
predicted_outcome: { status: null, score: null },
},
mutation: mutNorm
? {
id: mutNorm.id,
category: mutNorm.category,
trigger_signals: mutNorm.trigger_signals,
target: mutNorm.target,
expected_effect: mutNorm.expected_effect,
risk_level: mutNorm.risk_level,
}
: null,
personality: psNorm
? {
key: personalityKey(psNorm),
state: psNorm,
}
: null,
gene: { id: geneId, category: geneCategory },
action: {
drift: !!driftEnabled,
selected_by: selectedBy || 'selector',
selector: selector || null,
},
capsules: {
used: Array.isArray(capsulesUsed) ? capsulesUsed.map(String).filter(Boolean) : [],
},
observed: observations && typeof observations === 'object' ? observations : null,
};
appendJsonl(memoryGraphPath(), ev);
return { hypothesisId, signalKey };
}
function hasErrorSignal(signals) {
const list = Array.isArray(signals) ? signals : [];
return list.includes('log_error');
}
function recordAttempt({
signals,
mutation,
personality_state,
selectedGene,
selector,
driftEnabled,
selectedBy,
hypothesisId,
capsulesUsed,
observations,
}) {
const signalKey = computeSignalKey(signals);
const geneId = selectedGene && selectedGene.id ? String(selectedGene.id) : null;
const geneCategory = selectedGene && selectedGene.category ? String(selectedGene.category) : null;
const ts = nowIso();
const errsig = extractErrorSignatureFromSignals(signals);
const actionId = `act_${Date.now()}_${stableHash(`${signalKey}|${geneId || 'none'}|${ts}`)}`;
const personalityState = personality_state || null;
const mutNorm = mutation && isValidMutation(mutation) ? normalizeMutation(mutation) : null;
const psNorm = personalityState && isValidPersonalityState(personalityState) ? normalizePersonalityState(personalityState) : null;
const ev = {
type: 'MemoryGraphEvent',
kind: 'attempt',
id: `mge_${Date.now()}_${stableHash(actionId)}`,
ts,
signal: { key: signalKey, signals: Array.isArray(signals) ? signals : [], error_signature: errsig || null },
mutation: mutNorm
? {
id: mutNorm.id,
category: mutNorm.category,
trigger_signals: mutNorm.trigger_signals,
target: mutNorm.target,
expected_effect: mutNorm.expected_effect,
risk_level: mutNorm.risk_level,
}
: null,
personality: psNorm
? {
key: personalityKey(psNorm),
state: psNorm,
}
: null,
gene: { id: geneId, category: geneCategory },
hypothesis: hypothesisId ? { id: String(hypothesisId) } : null,
action: {
id: actionId,
drift: !!driftEnabled,
selected_by: selectedBy || 'selector',
selector: selector || null,
},
capsules: {
used: Array.isArray(capsulesUsed) ? capsulesUsed.map(String).filter(Boolean) : [],
},
observed: observations && typeof observations === 'object' ? observations : null,
};
appendJsonl(memoryGraphPath(), ev);
// State is mutable; graph is append-only.
const statePath = memoryGraphStatePath();
const state = readJsonIfExists(statePath, { last_action: null });
state.last_action = {
action_id: actionId,
signal_key: signalKey,
signals: Array.isArray(signals) ? signals : [],
mutation_id: mutNorm ? mutNorm.id : null,
mutation_category: mutNorm ? mutNorm.category : null,
mutation_risk_level: mutNorm ? mutNorm.risk_level : null,
personality_key: psNorm ? personalityKey(psNorm) : null,
personality_state: psNorm || null,
gene_id: geneId,
gene_category: geneCategory,
hypothesis_id: hypothesisId ? String(hypothesisId) : null,
capsules_used: Array.isArray(capsulesUsed) ? capsulesUsed.map(String).filter(Boolean) : [],
had_error: hasErrorSignal(signals),
created_at: ts,
outcome_recorded: false,
baseline_observed: observations && typeof observations === 'object' ? observations : null,
};
writeJsonAtomic(statePath, state);
return { actionId, signalKey };
}
function inferOutcomeFromSignals({ prevHadError, currentHasError }) {
if (prevHadError && !currentHasError) return { status: 'success', score: 0.85, note: 'error_cleared' };
if (prevHadError && currentHasError) return { status: 'failed', score: 0.2, note: 'error_persisted' };
if (!prevHadError && currentHasError) return { status: 'failed', score: 0.15, note: 'new_error_appeared' };
return { status: 'success', score: 0.6, note: 'stable_no_error' };
}
function clamp01(x) {
const n = Number(x);
if (!Number.isFinite(n)) return 0;
return Math.max(0, Math.min(1, n));
}
function tryParseLastEvolutionEventOutcome(evidenceText) {
// Scan tail text for an EvolutionEvent JSON line and extract its outcome.
const s = String(evidenceText || '');
if (!s) return null;
const lines = s.split('\n').slice(-400);
for (let i = lines.length - 1; i >= 0; i--) {
const line = lines[i].trim();
if (!line) continue;
if (!line.includes('"type"') || !line.includes('EvolutionEvent')) continue;
try {
const obj = JSON.parse(line);
if (!obj || obj.type !== 'EvolutionEvent') continue;
const o = obj.outcome && typeof obj.outcome === 'object' ? obj.outcome : null;
if (!o) continue;
const status = o.status === 'success' || o.status === 'failed' ? o.status : null;
const score = Number.isFinite(Number(o.score)) ? clamp01(Number(o.score)) : null;
if (!status && score == null) continue;
return {
status: status || (score != null && score >= 0.5 ? 'success' : 'failed'),
score: score != null ? score : status === 'success' ? 0.75 : 0.25,
note: 'evolutionevent_observed',
};
} catch (e) {
continue;
}
}
return null;
}
function inferOutcomeEnhanced({ prevHadError, currentHasError, baselineObserved, currentObserved }) {
const evidence =
currentObserved &&
currentObserved.evidence &&
(currentObserved.evidence.recent_session_tail || currentObserved.evidence.today_log_tail)
? currentObserved.evidence
: null;
const combinedEvidence = evidence
? `${String(evidence.recent_session_tail || '')}\n${String(evidence.today_log_tail || '')}`
: '';
const observed = tryParseLastEvolutionEventOutcome(combinedEvidence);
if (observed) return observed;
const base = inferOutcomeFromSignals({ prevHadError, currentHasError });
const prevErrCount =
baselineObserved && Number.isFinite(Number(baselineObserved.recent_error_count))
? Number(baselineObserved.recent_error_count)
: null;
const curErrCount =
currentObserved && Number.isFinite(Number(currentObserved.recent_error_count))
? Number(currentObserved.recent_error_count)
: null;
let score = base.score;
if (prevErrCount != null && curErrCount != null) {
const delta = prevErrCount - curErrCount;
score += Math.max(-0.12, Math.min(0.12, delta / 50));
}
const prevScan =
baselineObserved && Number.isFinite(Number(baselineObserved.scan_ms)) ? Number(baselineObserved.scan_ms) : null;
const curScan =
currentObserved && Number.isFinite(Number(currentObserved.scan_ms)) ? Number(currentObserved.scan_ms) : null;
if (prevScan != null && curScan != null && prevScan > 0) {
const ratio = (prevScan - curScan) / prevScan;
score += Math.max(-0.06, Math.min(0.06, ratio));
}
return { status: base.status, score: clamp01(score), note: `${base.note}|heuristic_delta` };
}
function buildConfidenceEdgeEvent({ signalKey, signals, geneId, geneCategory, outcomeEventId, halfLifeDays }) {
const events = tryReadMemoryGraphEvents(2000);
const edges = aggregateEdges(events);
const k = `${signalKey}::${geneId}`;
const edge = edges.get(k) || { success: 0, fail: 0, last_ts: null };
const ex = edgeExpectedSuccess(edge, { half_life_days: halfLifeDays });
const ts = nowIso();
return {
type: 'MemoryGraphEvent',
kind: 'confidence_edge',
id: `mge_${Date.now()}_${stableHash(`${signalKey}|${geneId}|confidence|${ts}`)}`,
ts,
signal: { key: signalKey, signals: Array.isArray(signals) ? signals : [] },
gene: { id: geneId, category: geneCategory || null },
edge: { signal_key: signalKey, gene_id: geneId },
stats: {
success: Number(edge.success) || 0,
fail: Number(edge.fail) || 0,
attempts: Number(ex.total) || 0,
p: ex.p,
decay_weight: ex.w,
value: ex.value,
half_life_days: halfLifeDays,
updated_at: ts,
},
derived_from: { outcome_event_id: outcomeEventId || null },
};
}
function buildGeneOutcomeConfidenceEvent({ geneId, geneCategory, outcomeEventId, halfLifeDays }) {
const events = tryReadMemoryGraphEvents(2000);
const geneOutcomes = aggregateGeneOutcomes(events);
const edge = geneOutcomes.get(String(geneId)) || { success: 0, fail: 0, last_ts: null };
const ex = edgeExpectedSuccess(edge, { half_life_days: halfLifeDays });
const ts = nowIso();
return {
type: 'MemoryGraphEvent',
kind: 'confidence_gene_outcome',
id: `mge_${Date.now()}_${stableHash(`${geneId}|gene_outcome|confidence|${ts}`)}`,
ts,
gene: { id: String(geneId), category: geneCategory || null },
edge: { gene_id: String(geneId) },
stats: {
success: Number(edge.success) || 0,
fail: Number(edge.fail) || 0,
attempts: Number(ex.total) || 0,
p: ex.p,
decay_weight: ex.w,
value: ex.value,
half_life_days: halfLifeDays,
updated_at: ts,
},
derived_from: { outcome_event_id: outcomeEventId || null },
};
}
function recordOutcomeFromState({ signals, observations }) {
const statePath = memoryGraphStatePath();
const state = readJsonIfExists(statePath, { last_action: null });
const last = state && state.last_action ? state.last_action : null;
if (!last || !last.action_id) return null;
if (last.outcome_recorded) return null;
const currentHasError = hasErrorSignal(signals);
const inferred = inferOutcomeEnhanced({
prevHadError: !!last.had_error,
currentHasError,
baselineObserved: last.baseline_observed || null,
currentObserved: observations || null,
});
const ts = nowIso();
const errsig = extractErrorSignatureFromSignals(signals);
const ev = {
type: 'MemoryGraphEvent',
kind: 'outcome',
id: `mge_${Date.now()}_${stableHash(`${last.action_id}|outcome|${ts}`)}`,
ts,
signal: {
key: String(last.signal_key || '(none)'),
signals: Array.isArray(last.signals) ? last.signals : [],
error_signature: errsig || null,
},
mutation:
last.mutation_id || last.mutation_category || last.mutation_risk_level
? {
id: last.mutation_id || null,
category: last.mutation_category || null,
risk_level: last.mutation_risk_level || null,
}
: null,
personality:
last.personality_key || last.personality_state
? {
key: last.personality_key || null,
state: last.personality_state || null,
}
: null,
gene: { id: last.gene_id || null, category: last.gene_category || null },
action: { id: String(last.action_id) },
hypothesis: last.hypothesis_id ? { id: String(last.hypothesis_id) } : null,
outcome: {
status: inferred.status,
score: inferred.score,
note: inferred.note,
observed: { current_signals: Array.isArray(signals) ? signals : [] },
},
confidence: {
// This is an interpretable, decayed success estimate derived from outcomes; aggregation is computed at read-time.
half_life_days: 30,
},
observed: observations && typeof observations === 'object' ? observations : null,
baseline: last.baseline_observed || null,
capsules: {
used: Array.isArray(last.capsules_used) ? last.capsules_used : [],
},
};
appendJsonl(memoryGraphPath(), ev);
// Persist explicit confidence snapshots (append-only) for auditability.
try {
if (last.gene_id) {
const edgeEv = buildConfidenceEdgeEvent({
signalKey: String(last.signal_key || '(none)'),
signals: Array.isArray(last.signals) ? last.signals : [],
geneId: String(last.gene_id),
geneCategory: last.gene_category || null,
outcomeEventId: ev.id,
halfLifeDays: 30,
});
appendJsonl(memoryGraphPath(), edgeEv);
const geneEv = buildGeneOutcomeConfidenceEvent({
geneId: String(last.gene_id),
geneCategory: last.gene_category || null,
outcomeEventId: ev.id,
halfLifeDays: 45,
});
appendJsonl(memoryGraphPath(), geneEv);
}
} catch (e) {}
last.outcome_recorded = true;
last.outcome_recorded_at = ts;
state.last_action = last;
writeJsonAtomic(statePath, state);
return ev;
}
function recordExternalCandidate({ asset, source, signals }) {
// Append-only annotation: external assets enter as candidates only.
// This does not affect outcome aggregation (which only uses kind === 'outcome').
const a = asset && typeof asset === 'object' ? asset : null;
const type = a && a.type ? String(a.type) : null;
const id = a && a.id ? String(a.id) : null;
if (!type || !id) return null;
const ts = nowIso();
const signalKey = computeSignalKey(signals);
const ev = {
type: 'MemoryGraphEvent',
kind: 'external_candidate',
id: `mge_${Date.now()}_${stableHash(`${type}|${id}|external|${ts}`)}`,
ts,
signal: { key: signalKey, signals: Array.isArray(signals) ? signals : [] },
external: {
source: source || 'external',
received_at: ts,
},
asset: { type, id },
candidate: {
// Minimal hints for later local triggering/validation.
trigger: type === 'Capsule' && Array.isArray(a.trigger) ? a.trigger : [],
gene: type === 'Capsule' && a.gene ? String(a.gene) : null,
confidence: type === 'Capsule' && Number.isFinite(Number(a.confidence)) ? Number(a.confidence) : null,
},
};
appendJsonl(memoryGraphPath(), ev);
return ev;
}
module.exports = {
memoryGraphPath,
computeSignalKey,
tryReadMemoryGraphEvents,
getMemoryAdvice,
recordSignalSnapshot,
recordHypothesis,
recordAttempt,
recordOutcomeFromState,
recordExternalCandidate,
};
@@ -0,0 +1,203 @@
// ---------------------------------------------------------------------------
// MemoryGraphAdapter -- stable interface boundary for memory graph operations.
//
// Default implementation delegates to the local JSONL-based memoryGraph.js.
// SaaS providers can supply a remote adapter by setting MEMORY_GRAPH_PROVIDER=remote
// and configuring MEMORY_GRAPH_REMOTE_URL / MEMORY_GRAPH_REMOTE_KEY.
//
// The adapter is designed so that the open-source evolver always works offline
// with the local implementation. Remote is optional and degrades gracefully.
// ---------------------------------------------------------------------------
const localGraph = require('./memoryGraph');
// ---------------------------------------------------------------------------
// Adapter interface contract (all methods must be implemented by providers):
//
// getAdvice({ signals, genes, driftEnabled }) => { preferredGeneId, bannedGeneIds, currentSignalKey, explanation }
// recordSignalSnapshot({ signals, observations }) => event
// recordHypothesis({ signals, mutation, personality_state, selectedGene, selector, driftEnabled, selectedBy, capsulesUsed, observations }) => { hypothesisId, signalKey }
// recordAttempt({ signals, mutation, personality_state, selectedGene, selector, driftEnabled, selectedBy, hypothesisId, capsulesUsed, observations }) => { actionId, signalKey }
// recordOutcome({ signals, observations }) => event | null
// recordExternalCandidate({ asset, source, signals }) => event | null
// memoryGraphPath() => string
// computeSignalKey(signals) => string
// tryReadMemoryGraphEvents(limit) => event[]
// ---------------------------------------------------------------------------
// ---------------------------------------------------------------------------
// Local adapter (default) -- wraps memoryGraph.js without any behavior change
// ---------------------------------------------------------------------------
const localAdapter = {
name: 'local',
getAdvice(opts) {
return localGraph.getMemoryAdvice(opts);
},
recordSignalSnapshot(opts) {
return localGraph.recordSignalSnapshot(opts);
},
recordHypothesis(opts) {
return localGraph.recordHypothesis(opts);
},
recordAttempt(opts) {
return localGraph.recordAttempt(opts);
},
recordOutcome(opts) {
return localGraph.recordOutcomeFromState(opts);
},
recordExternalCandidate(opts) {
return localGraph.recordExternalCandidate(opts);
},
memoryGraphPath() {
return localGraph.memoryGraphPath();
},
computeSignalKey(signals) {
return localGraph.computeSignalKey(signals);
},
tryReadMemoryGraphEvents(limit) {
return localGraph.tryReadMemoryGraphEvents(limit);
},
};
// ---------------------------------------------------------------------------
// Remote adapter (SaaS) -- calls external KG service with local fallback
// ---------------------------------------------------------------------------
function buildRemoteAdapter() {
const remoteUrl = process.env.MEMORY_GRAPH_REMOTE_URL || '';
const remoteKey = process.env.MEMORY_GRAPH_REMOTE_KEY || '';
const timeoutMs = Number(process.env.MEMORY_GRAPH_REMOTE_TIMEOUT_MS) || 5000;
async function remoteCall(endpoint, body) {
if (!remoteUrl) throw new Error('MEMORY_GRAPH_REMOTE_URL not configured');
const url = `${remoteUrl.replace(/\/+$/, '')}${endpoint}`;
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), timeoutMs);
try {
const res = await fetch(url, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
...(remoteKey ? { Authorization: `Bearer ${remoteKey}` } : {}),
},
body: JSON.stringify(body),
signal: controller.signal,
});
if (!res.ok) {
throw new Error(`remote_kg_error: ${res.status}`);
}
return await res.json();
} finally {
clearTimeout(timer);
}
}
// Wrap remote call with local fallback -- ensures offline resilience.
function withFallback(localFn, remoteFn) {
return async function (...args) {
try {
return await remoteFn(...args);
} catch (e) {
// Fallback to local on any remote failure (network, timeout, config).
return localFn(...args);
}
};
}
return {
name: 'remote',
// getAdvice is the primary candidate for remote enhancement (richer graph reasoning).
getAdvice: withFallback(
(opts) => localGraph.getMemoryAdvice(opts),
async (opts) => {
const result = await remoteCall('/kg/advice', {
signals: opts.signals,
genes: (opts.genes || []).map((g) => ({ id: g.id, category: g.category, type: g.type })),
driftEnabled: opts.driftEnabled,
});
// Normalize remote response to match local contract.
return {
currentSignalKey: result.currentSignalKey || localGraph.computeSignalKey(opts.signals),
preferredGeneId: result.preferredGeneId || null,
bannedGeneIds: new Set(result.bannedGeneIds || []),
explanation: Array.isArray(result.explanation) ? result.explanation : [],
};
}
),
// Write operations: always write locally first, then async-sync to remote.
// This preserves the append-only local graph as source of truth.
recordSignalSnapshot(opts) {
const ev = localGraph.recordSignalSnapshot(opts);
remoteCall('/kg/ingest', { kind: 'signal', event: ev }).catch(() => {});
return ev;
},
recordHypothesis(opts) {
const result = localGraph.recordHypothesis(opts);
remoteCall('/kg/ingest', { kind: 'hypothesis', event: result }).catch(() => {});
return result;
},
recordAttempt(opts) {
const result = localGraph.recordAttempt(opts);
remoteCall('/kg/ingest', { kind: 'attempt', event: result }).catch(() => {});
return result;
},
recordOutcome(opts) {
const ev = localGraph.recordOutcomeFromState(opts);
if (ev) {
remoteCall('/kg/ingest', { kind: 'outcome', event: ev }).catch(() => {});
}
return ev;
},
recordExternalCandidate(opts) {
const ev = localGraph.recordExternalCandidate(opts);
if (ev) {
remoteCall('/kg/ingest', { kind: 'external_candidate', event: ev }).catch(() => {});
}
return ev;
},
memoryGraphPath() {
return localGraph.memoryGraphPath();
},
computeSignalKey(signals) {
return localGraph.computeSignalKey(signals);
},
tryReadMemoryGraphEvents(limit) {
return localGraph.tryReadMemoryGraphEvents(limit);
},
};
}
// ---------------------------------------------------------------------------
// Provider resolution
// ---------------------------------------------------------------------------
function resolveAdapter() {
const provider = (process.env.MEMORY_GRAPH_PROVIDER || 'local').toLowerCase().trim();
if (provider === 'remote') {
return buildRemoteAdapter();
}
return localAdapter;
}
const adapter = resolveAdapter();
module.exports = adapter;
@@ -0,0 +1,186 @@
function clamp01(x) {
const n = Number(x);
if (!Number.isFinite(n)) return 0;
return Math.max(0, Math.min(1, n));
}
function nowTsMs() {
return Date.now();
}
function uniqStrings(list) {
const out = [];
const seen = new Set();
for (const x of Array.isArray(list) ? list : []) {
const s = String(x || '').trim();
if (!s) continue;
if (seen.has(s)) continue;
seen.add(s);
out.push(s);
}
return out;
}
function hasErrorishSignal(signals) {
const list = Array.isArray(signals) ? signals.map(s => String(s || '')) : [];
if (list.includes('issue_already_resolved') || list.includes('openclaw_self_healed')) return false;
if (list.includes('log_error')) return true;
if (list.some(s => s.startsWith('errsig:') || s.startsWith('errsig_norm:'))) return true;
return false;
}
// Opportunity signals that indicate a chance to innovate (not just fix).
var OPPORTUNITY_SIGNALS = [
'user_feature_request',
'user_improvement_suggestion',
'perf_bottleneck',
'capability_gap',
'stable_success_plateau',
'external_opportunity',
'issue_already_resolved',
'openclaw_self_healed',
'empty_cycle_loop_detected',
];
function hasOpportunitySignal(signals) {
var list = Array.isArray(signals) ? signals.map(function (s) { return String(s || ''); }) : [];
for (var i = 0; i < OPPORTUNITY_SIGNALS.length; i++) {
var name = OPPORTUNITY_SIGNALS[i];
if (list.includes(name)) return true;
if (list.some(function (s) { return s.startsWith(name + ':'); })) return true;
}
return false;
}
function mutationCategoryFromContext({ signals, driftEnabled }) {
if (hasErrorishSignal(signals)) return 'repair';
if (driftEnabled) return 'innovate';
// Auto-innovate: opportunity signals present and no errors
if (hasOpportunitySignal(signals)) return 'innovate';
// Consult strategy preset: if the configured strategy favors innovation,
// default to innovate instead of optimize when there is nothing specific to do.
try {
var strategy = require('./strategy').resolveStrategy();
if (strategy && typeof strategy.innovate === 'number' && strategy.innovate >= 0.5) return 'innovate';
} catch (_) {}
return 'optimize';
}
function expectedEffectFromCategory(category) {
const c = String(category || '');
if (c === 'repair') return 'reduce runtime errors, increase stability, and lower failure rate';
if (c === 'optimize') return 'improve success rate and reduce repeated operational cost';
if (c === 'innovate') return 'explore new strategy combinations to escape local optimum';
return 'improve robustness and success probability';
}
function targetFromGene(selectedGene) {
if (selectedGene && selectedGene.id) return `gene:${String(selectedGene.id)}`;
return 'behavior:protocol';
}
function isHighRiskPersonality(p) {
// Conservative definition: low rigor or high risk_tolerance is treated as high-risk personality.
const rigor = p && Number.isFinite(Number(p.rigor)) ? Number(p.rigor) : null;
const riskTol = p && Number.isFinite(Number(p.risk_tolerance)) ? Number(p.risk_tolerance) : null;
if (rigor != null && rigor < 0.5) return true;
if (riskTol != null && riskTol > 0.6) return true;
return false;
}
function isHighRiskMutationAllowed(personalityState) {
const rigor = personalityState && Number.isFinite(Number(personalityState.rigor)) ? Number(personalityState.rigor) : 0;
const riskTol =
personalityState && Number.isFinite(Number(personalityState.risk_tolerance))
? Number(personalityState.risk_tolerance)
: 1;
return rigor >= 0.6 && riskTol <= 0.5;
}
function buildMutation({
signals,
selectedGene,
driftEnabled,
personalityState,
allowHighRisk = false,
target,
expected_effect,
} = {}) {
const ts = nowTsMs();
const category = mutationCategoryFromContext({ signals, driftEnabled: !!driftEnabled });
const triggerSignals = uniqStrings(signals);
const base = {
type: 'Mutation',
id: `mut_${ts}`,
category,
trigger_signals: triggerSignals,
target: String(target || targetFromGene(selectedGene)),
expected_effect: String(expected_effect || expectedEffectFromCategory(category)),
risk_level: 'low',
};
// Default risk assignment: innovate is medium; others low.
if (category === 'innovate') base.risk_level = 'medium';
// Optional high-risk escalation (rare, and guarded by strict safety constraints).
if (allowHighRisk && category === 'innovate') {
base.risk_level = 'high';
}
// Safety constraints (hard):
// - forbid innovate + high-risk personality (downgrade innovation to optimize)
// - forbid high-risk mutation unless personality satisfies constraints
const highRiskPersonality = isHighRiskPersonality(personalityState || null);
if (base.category === 'innovate' && highRiskPersonality) {
base.category = 'optimize';
base.expected_effect = 'safety downgrade: optimize under high-risk personality (avoid innovate+high-risk combo)';
base.risk_level = 'low';
base.trigger_signals = uniqStrings([...(base.trigger_signals || []), 'safety:avoid_innovate_with_high_risk_personality']);
}
if (base.risk_level === 'high' && !isHighRiskMutationAllowed(personalityState || null)) {
// Downgrade rather than emit illegal high-risk mutation.
base.risk_level = 'medium';
base.trigger_signals = uniqStrings([...(base.trigger_signals || []), 'safety:downgrade_high_risk']);
}
return base;
}
function isValidMutation(obj) {
if (!obj || typeof obj !== 'object') return false;
if (obj.type !== 'Mutation') return false;
if (!obj.id || typeof obj.id !== 'string') return false;
if (!obj.category || !['repair', 'optimize', 'innovate'].includes(String(obj.category))) return false;
if (!Array.isArray(obj.trigger_signals)) return false;
if (!obj.target || typeof obj.target !== 'string') return false;
if (!obj.expected_effect || typeof obj.expected_effect !== 'string') return false;
if (!obj.risk_level || !['low', 'medium', 'high'].includes(String(obj.risk_level))) return false;
return true;
}
function normalizeMutation(obj) {
const m = obj && typeof obj === 'object' ? obj : {};
const out = {
type: 'Mutation',
id: typeof m.id === 'string' ? m.id : `mut_${nowTsMs()}`,
category: ['repair', 'optimize', 'innovate'].includes(String(m.category)) ? String(m.category) : 'optimize',
trigger_signals: uniqStrings(m.trigger_signals),
target: typeof m.target === 'string' ? m.target : 'behavior:protocol',
expected_effect: typeof m.expected_effect === 'string' ? m.expected_effect : expectedEffectFromCategory(m.category),
risk_level: ['low', 'medium', 'high'].includes(String(m.risk_level)) ? String(m.risk_level) : 'low',
};
return out;
}
module.exports = {
clamp01,
buildMutation,
isValidMutation,
normalizeMutation,
isHighRiskMutationAllowed,
isHighRiskPersonality,
hasOpportunitySignal,
};
@@ -0,0 +1,67 @@
const path = require('path');
function getRepoRoot() {
// src/gep/paths.js -> repo root
return path.resolve(__dirname, '..', '..');
}
function getWorkspaceRoot() {
// skills/evolver -> workspace root
return path.resolve(getRepoRoot(), '..', '..');
}
function getLogsDir() {
return process.env.EVOLVER_LOGS_DIR || path.join(getWorkspaceRoot(), 'logs');
}
function getMemoryDir() {
return process.env.MEMORY_DIR || path.join(getWorkspaceRoot(), 'memory');
}
// --- Session Scope Isolation ---
// When EVOLVER_SESSION_SCOPE is set (e.g., to a Discord channel ID or project name),
// evolution state, memory graph, and assets are isolated to a per-scope subdirectory.
// This prevents cross-channel/cross-project memory contamination.
// When NOT set, everything works as before (global scope, backward compatible).
function getSessionScope() {
const raw = String(process.env.EVOLVER_SESSION_SCOPE || '').trim();
if (!raw) return null;
// Sanitize: only allow alphanumeric, dash, underscore, dot (prevent path traversal).
const safe = raw.replace(/[^a-zA-Z0-9_\-\.]/g, '_').slice(0, 128);
return safe || null;
}
function getEvolutionDir() {
const baseDir = process.env.EVOLUTION_DIR || path.join(getMemoryDir(), 'evolution');
const scope = getSessionScope();
if (scope) {
return path.join(baseDir, 'scopes', scope);
}
return baseDir;
}
function getGepAssetsDir() {
const repoRoot = getRepoRoot();
const baseDir = process.env.GEP_ASSETS_DIR || path.join(repoRoot, 'assets', 'gep');
const scope = getSessionScope();
if (scope) {
return path.join(baseDir, 'scopes', scope);
}
return baseDir;
}
function getSkillsDir() {
return process.env.SKILLS_DIR || path.join(getWorkspaceRoot(), 'skills');
}
module.exports = {
getRepoRoot,
getWorkspaceRoot,
getLogsDir,
getMemoryDir,
getEvolutionDir,
getGepAssetsDir,
getSkillsDir,
getSessionScope,
};
@@ -0,0 +1,355 @@
const fs = require('fs');
const path = require('path');
const { getMemoryDir } = require('./paths');
const { hasOpportunitySignal } = require('./mutation');
function nowIso() {
return new Date().toISOString();
}
function clamp01(x) {
const n = Number(x);
if (!Number.isFinite(n)) return 0;
return Math.max(0, Math.min(1, n));
}
function ensureDir(dir) {
try {
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
} catch (e) {}
}
function readJsonIfExists(filePath, fallback) {
try {
if (!fs.existsSync(filePath)) return fallback;
const raw = fs.readFileSync(filePath, 'utf8');
if (!raw.trim()) return fallback;
return JSON.parse(raw);
} catch {
return fallback;
}
}
function writeJsonAtomic(filePath, obj) {
const dir = path.dirname(filePath);
ensureDir(dir);
const tmp = `${filePath}.tmp`;
fs.writeFileSync(tmp, JSON.stringify(obj, null, 2) + '\n', 'utf8');
fs.renameSync(tmp, filePath);
}
function personalityFilePath() {
const memoryDir = getMemoryDir();
const { getEvolutionDir } = require('./paths'); return path.join(getEvolutionDir(), 'personality_state.json');
}
function defaultPersonalityState() {
// Conservative defaults: protocol-first, safe, low-risk.
return {
type: 'PersonalityState',
rigor: 0.7,
creativity: 0.35,
verbosity: 0.25,
risk_tolerance: 0.4,
obedience: 0.85,
};
}
function normalizePersonalityState(state) {
const s = state && typeof state === 'object' ? state : {};
return {
type: 'PersonalityState',
rigor: clamp01(s.rigor),
creativity: clamp01(s.creativity),
verbosity: clamp01(s.verbosity),
risk_tolerance: clamp01(s.risk_tolerance),
obedience: clamp01(s.obedience),
};
}
function isValidPersonalityState(obj) {
if (!obj || typeof obj !== 'object') return false;
if (obj.type !== 'PersonalityState') return false;
for (const k of ['rigor', 'creativity', 'verbosity', 'risk_tolerance', 'obedience']) {
const v = obj[k];
if (!Number.isFinite(Number(v))) return false;
const n = Number(v);
if (n < 0 || n > 1) return false;
}
return true;
}
function roundToStep(x, step) {
const s = Number(step);
if (!Number.isFinite(s) || s <= 0) return x;
return Math.round(Number(x) / s) * s;
}
function personalityKey(state) {
const s = normalizePersonalityState(state);
const step = 0.1;
const r = roundToStep(s.rigor, step).toFixed(1);
const c = roundToStep(s.creativity, step).toFixed(1);
const v = roundToStep(s.verbosity, step).toFixed(1);
const rt = roundToStep(s.risk_tolerance, step).toFixed(1);
const o = roundToStep(s.obedience, step).toFixed(1);
return `rigor=${r}|creativity=${c}|verbosity=${v}|risk_tolerance=${rt}|obedience=${o}`;
}
function getParamDeltas(fromState, toState) {
const a = normalizePersonalityState(fromState);
const b = normalizePersonalityState(toState);
const deltas = [];
for (const k of ['rigor', 'creativity', 'verbosity', 'risk_tolerance', 'obedience']) {
deltas.push({ param: k, delta: Number(b[k]) - Number(a[k]) });
}
deltas.sort((x, y) => Math.abs(y.delta) - Math.abs(x.delta));
return deltas;
}
function personalityScore(statsEntry) {
const e = statsEntry && typeof statsEntry === 'object' ? statsEntry : {};
const succ = Number(e.success) || 0;
const fail = Number(e.fail) || 0;
const total = succ + fail;
// Laplace-smoothed success probability
const p = (succ + 1) / (total + 2);
// Penalize tiny-sample overconfidence
const sampleWeight = Math.min(1, total / 8);
// Use avg_score (if present) as mild quality proxy
const avg = Number.isFinite(Number(e.avg_score)) ? Number(e.avg_score) : null;
const q = avg == null ? 0.5 : clamp01(avg);
return p * 0.75 + q * 0.25 * sampleWeight;
}
function chooseBestKnownPersonality(statsByKey) {
const stats = statsByKey && typeof statsByKey === 'object' ? statsByKey : {};
let best = null;
for (const [k, entry] of Object.entries(stats)) {
const e = entry || {};
const total = (Number(e.success) || 0) + (Number(e.fail) || 0);
if (total < 3) continue;
const sc = personalityScore(e);
if (!best || sc > best.score) best = { key: k, score: sc, entry: e };
}
return best;
}
function parseKeyToState(key) {
// key format: rigor=0.7|creativity=0.3|...
const out = defaultPersonalityState();
const parts = String(key || '').split('|').map(s => s.trim()).filter(Boolean);
for (const p of parts) {
const [k, v] = p.split('=').map(x => String(x || '').trim());
if (!k) continue;
if (!['rigor', 'creativity', 'verbosity', 'risk_tolerance', 'obedience'].includes(k)) continue;
out[k] = clamp01(Number(v));
}
return normalizePersonalityState(out);
}
function applyPersonalityMutations(state, mutations) {
let cur = normalizePersonalityState(state);
const muts = Array.isArray(mutations) ? mutations : [];
const applied = [];
let count = 0;
for (const m of muts) {
if (!m || typeof m !== 'object') continue;
const param = String(m.param || '').trim();
if (!['rigor', 'creativity', 'verbosity', 'risk_tolerance', 'obedience'].includes(param)) continue;
const delta = Number(m.delta);
if (!Number.isFinite(delta)) continue;
const clipped = Math.max(-0.2, Math.min(0.2, delta));
cur[param] = clamp01(Number(cur[param]) + clipped);
applied.push({ type: 'PersonalityMutation', param, delta: clipped, reason: String(m.reason || '').slice(0, 140) });
count += 1;
if (count >= 2) break;
}
return { state: cur, applied };
}
function proposeMutations({ baseState, reason, driftEnabled, signals }) {
const s = normalizePersonalityState(baseState);
const sig = Array.isArray(signals) ? signals.map(x => String(x || '')) : [];
const muts = [];
const r = String(reason || '');
if (driftEnabled) {
muts.push({ type: 'PersonalityMutation', param: 'creativity', delta: +0.1, reason: r || 'drift enabled' });
// Keep risk bounded under drift by default.
muts.push({ type: 'PersonalityMutation', param: 'risk_tolerance', delta: -0.05, reason: 'drift safety clamp' });
} else if (sig.includes('protocol_drift')) {
muts.push({ type: 'PersonalityMutation', param: 'obedience', delta: +0.1, reason: r || 'protocol drift' });
muts.push({ type: 'PersonalityMutation', param: 'rigor', delta: +0.05, reason: 'tighten protocol compliance' });
} else if (sig.includes('log_error') || sig.some(x => x.startsWith('errsig:') || x.startsWith('errsig_norm:'))) {
muts.push({ type: 'PersonalityMutation', param: 'rigor', delta: +0.1, reason: r || 'repair instability' });
muts.push({ type: 'PersonalityMutation', param: 'risk_tolerance', delta: -0.1, reason: 'reduce risky changes under errors' });
} else if (hasOpportunitySignal(sig)) {
// Opportunity detected: nudge towards creativity to enable innovation.
muts.push({ type: 'PersonalityMutation', param: 'creativity', delta: +0.1, reason: r || 'opportunity signal detected' });
muts.push({ type: 'PersonalityMutation', param: 'risk_tolerance', delta: +0.05, reason: 'allow exploration for innovation' });
} else {
// Plateau-like generic: slightly increase rigor, slightly decrease verbosity (more concise execution).
muts.push({ type: 'PersonalityMutation', param: 'rigor', delta: +0.05, reason: r || 'stability bias' });
muts.push({ type: 'PersonalityMutation', param: 'verbosity', delta: -0.05, reason: 'reduce noise' });
}
// If already very high obedience, avoid pushing it further; swap second mutation to creativity.
if (s.obedience >= 0.95) {
const idx = muts.findIndex(x => x.param === 'obedience');
if (idx >= 0) muts[idx] = { type: 'PersonalityMutation', param: 'creativity', delta: +0.05, reason: 'obedience saturated' };
}
return muts;
}
function shouldTriggerPersonalityMutation({ driftEnabled, recentEvents }) {
if (driftEnabled) return { ok: true, reason: 'drift enabled' };
const list = Array.isArray(recentEvents) ? recentEvents : [];
const tail = list.slice(-6);
const outcomes = tail
.map(e => (e && e.outcome && e.outcome.status ? String(e.outcome.status) : null))
.filter(Boolean);
if (outcomes.length >= 4) {
const recentFailed = outcomes.slice(-4).filter(x => x === 'failed').length;
if (recentFailed >= 3) return { ok: true, reason: 'long failure streak' };
}
// Mutation consecutive failure proxy: last 3 events that have mutation_id.
const withMut = tail.filter(e => e && typeof e.mutation_id === 'string' && e.mutation_id);
if (withMut.length >= 3) {
const last3 = withMut.slice(-3);
const fail3 = last3.filter(e => e && e.outcome && e.outcome.status === 'failed').length;
if (fail3 >= 3) return { ok: true, reason: 'mutation consecutive failures' };
}
return { ok: false, reason: '' };
}
function loadPersonalityModel() {
const p = personalityFilePath();
const fallback = {
version: 1,
current: defaultPersonalityState(),
stats: {},
history: [],
updated_at: nowIso(),
};
const raw = readJsonIfExists(p, fallback);
const cur = normalizePersonalityState(raw && raw.current ? raw.current : defaultPersonalityState());
const stats = raw && typeof raw.stats === 'object' ? raw.stats : {};
const history = Array.isArray(raw && raw.history) ? raw.history : [];
return { version: 1, current: cur, stats, history, updated_at: raw && raw.updated_at ? raw.updated_at : nowIso() };
}
function savePersonalityModel(model) {
const m = model && typeof model === 'object' ? model : {};
const out = {
version: 1,
current: normalizePersonalityState(m.current || defaultPersonalityState()),
stats: m.stats && typeof m.stats === 'object' ? m.stats : {},
history: Array.isArray(m.history) ? m.history.slice(-120) : [],
updated_at: nowIso(),
};
writeJsonAtomic(personalityFilePath(), out);
return out;
}
function selectPersonalityForRun({ driftEnabled, signals, recentEvents } = {}) {
const model = loadPersonalityModel();
const base = normalizePersonalityState(model.current);
const stats = model.stats || {};
const best = chooseBestKnownPersonality(stats);
let naturalSelectionApplied = [];
// Natural selection: nudge towards the best-known configuration (small, max 2 params).
if (best && best.key) {
const bestState = parseKeyToState(best.key);
const diffs = getParamDeltas(base, bestState).filter(d => Math.abs(d.delta) >= 0.05);
const muts = [];
for (const d of diffs.slice(0, 2)) {
const clipped = Math.max(-0.1, Math.min(0.1, d.delta));
muts.push({ type: 'PersonalityMutation', param: d.param, delta: clipped, reason: 'natural_selection' });
}
const applied = applyPersonalityMutations(base, muts);
model.current = applied.state;
naturalSelectionApplied = applied.applied;
}
// Triggered personality mutation (explicit rule-based).
const trig = shouldTriggerPersonalityMutation({ driftEnabled: !!driftEnabled, recentEvents });
let triggeredApplied = [];
if (trig.ok) {
const props = proposeMutations({
baseState: model.current,
reason: trig.reason,
driftEnabled: !!driftEnabled,
signals,
});
const applied = applyPersonalityMutations(model.current, props);
model.current = applied.state;
triggeredApplied = applied.applied;
}
// Persist updated current state.
const saved = savePersonalityModel(model);
const key = personalityKey(saved.current);
const known = !!(saved.stats && saved.stats[key]);
return {
personality_state: saved.current,
personality_key: key,
personality_known: known,
personality_mutations: [...naturalSelectionApplied, ...triggeredApplied],
model_meta: {
best_known_key: best && best.key ? best.key : null,
best_known_score: best && Number.isFinite(Number(best.score)) ? Number(best.score) : null,
triggered: trig.ok ? { reason: trig.reason } : null,
},
};
}
function updatePersonalityStats({ personalityState, outcome, score, notes } = {}) {
const model = loadPersonalityModel();
const st = normalizePersonalityState(personalityState || model.current);
const key = personalityKey(st);
if (!model.stats || typeof model.stats !== 'object') model.stats = {};
const cur = model.stats[key] && typeof model.stats[key] === 'object' ? model.stats[key] : { success: 0, fail: 0, avg_score: 0.5, n: 0 };
const out = String(outcome || '').toLowerCase();
if (out === 'success') cur.success = (Number(cur.success) || 0) + 1;
else if (out === 'failed') cur.fail = (Number(cur.fail) || 0) + 1;
const sc = Number.isFinite(Number(score)) ? clamp01(Number(score)) : null;
if (sc != null) {
const n = (Number(cur.n) || 0) + 1;
const prev = Number.isFinite(Number(cur.avg_score)) ? Number(cur.avg_score) : 0.5;
cur.avg_score = prev + (sc - prev) / n;
cur.n = n;
}
cur.updated_at = nowIso();
model.stats[key] = cur;
model.history = Array.isArray(model.history) ? model.history : [];
model.history.push({
at: nowIso(),
key,
outcome: out === 'success' || out === 'failed' ? out : 'unknown',
score: sc,
notes: notes ? String(notes).slice(0, 220) : null,
});
savePersonalityModel(model);
return { key, stats: cur };
}
module.exports = {
clamp01,
defaultPersonalityState,
normalizePersonalityState,
isValidPersonalityState,
personalityKey,
loadPersonalityModel,
savePersonalityModel,
selectPersonalityForRun,
updatePersonalityStats,
};
+539
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@@ -0,0 +1,539 @@
const { captureEnvFingerprint } = require('./envFingerprint');
const { formatAssetPreview } = require('./assets');
const { generateInnovationIdeas } = require('../ops/innovation'); // [2026-02-14] Innovation Catalyst Integration
const { analyzeRecentHistory, OPPORTUNITY_SIGNALS } = require('./signals'); // [2026-02-14] Signal Analysis Integration
/**
* Build a minimal prompt for direct-reuse mode.
*/
function buildReusePrompt({ capsule, signals, nowIso }) {
const payload = capsule.payload || capsule;
const summary = payload.summary || capsule.summary || '(no summary)';
const gene = payload.gene || capsule.gene || '(unknown)';
const confidence = payload.confidence || capsule.confidence || 0;
const assetId = capsule.asset_id || '(unknown)';
const sourceNode = capsule.source_node_id || '(unknown)';
const trigger = Array.isArray(payload.trigger || capsule.trigger_text)
? (payload.trigger || String(capsule.trigger_text || '').split(',')).join(', ')
: '';
return `
GEP -- REUSE MODE (Search-First) [${nowIso || new Date().toISOString()}]
You are applying a VERIFIED solution from the EvoMap Hub.
Source asset: ${assetId} (Node: ${sourceNode})
Confidence: ${confidence} | Gene: ${gene}
Trigger signals: ${trigger}
Summary: ${summary}
Your signals: ${JSON.stringify(signals || [])}
Instructions:
1. Read the capsule details below.
2. Apply the fix to the local codebase, adapting paths/names.
3. Run validation to confirm it works.
4. If passed, run: node index.js solidify
5. If failed, ROLLBACK and report.
Capsule payload:
\`\`\`json
${JSON.stringify(payload, null, 2)}
\`\`\`
IMPORTANT: Do NOT reinvent. Apply faithfully.
`.trim();
}
/**
* Build a Hub Matched Solution block.
*/
function buildHubMatchedBlock({ capsule }) {
if (!capsule) return '(no hub match)';
const payload = capsule.payload || capsule;
const summary = payload.summary || capsule.summary || '(no summary)';
const gene = payload.gene || capsule.gene || '(unknown)';
const confidence = payload.confidence || capsule.confidence || 0;
const assetId = capsule.asset_id || '(unknown)';
return `
Hub Matched Solution (STRONG REFERENCE):
- Asset: ${assetId} (${confidence})
- Gene: ${gene}
- Summary: ${summary}
- Payload:
\`\`\`json
${JSON.stringify(payload, null, 2)}
\`\`\`
Use this as your primary approach if applicable. Adapt to local context.
`.trim();
}
/**
* Truncate context intelligently to preserve header/footer structure.
*/
function truncateContext(text, maxLength = 20000) {
if (!text || text.length <= maxLength) return text || '';
return text.slice(0, maxLength) + '\n...[TRUNCATED_EXECUTION_CONTEXT]...';
}
/**
* Strict schema definitions for the prompt to reduce drift.
* UPDATED: 2026-02-14 (Protocol Drift Fix v3.2 - JSON-Only Enforcement)
*/
const SCHEMA_DEFINITIONS = `
━━━━━━━━━━━━━━━━━━━━━━
I. Mandatory Evolution Object Model (Output EXACTLY these 5 objects)
━━━━━━━━━━━━━━━━━━━━━━
Output separate JSON objects. DO NOT wrap in a single array.
DO NOT use markdown code blocks (like \`\`\`json ... \`\`\`).
Output RAW JSON ONLY. No prelude, no postscript.
Missing any object = PROTOCOL FAILURE.
ENSURE VALID JSON SYNTAX (escape quotes in strings).
0. Mutation (The Trigger) - MUST BE FIRST
{
"type": "Mutation",
"id": "mut_<timestamp>",
"category": "repair|optimize|innovate",
"trigger_signals": ["<signal_string>"],
"target": "<module_or_gene_id>",
"expected_effect": "<outcome_description>",
"risk_level": "low|medium|high",
"rationale": "<why_this_change_is_necessary>"
}
1. PersonalityState (The Mood)
{
"type": "PersonalityState",
"rigor": 0.0-1.0,
"creativity": 0.0-1.0,
"verbosity": 0.0-1.0,
"risk_tolerance": 0.0-1.0,
"obedience": 0.0-1.0
}
2. EvolutionEvent (The Record)
{
"type": "EvolutionEvent",
"schema_version": "1.5.0",
"id": "evt_<timestamp>",
"parent": <parent_evt_id|null>,
"intent": "repair|optimize|innovate",
"signals": ["<signal_string>"],
"genes_used": ["<gene_id>"],
"mutation_id": "<mut_id>",
"personality_state": { ... },
"blast_radius": { "files": N, "lines": N },
"outcome": { "status": "success|failed", "score": 0.0-1.0 }
}
3. Gene (The Knowledge)
- Reuse/update existing ID if possible. Create new only if novel pattern.
{
"type": "Gene",
"schema_version": "1.5.0",
"id": "gene_<name>",
"category": "repair|optimize|innovate",
"signals_match": ["<pattern>"],
"preconditions": ["<condition>"],
"strategy": ["<step_1>", "<step_2>"],
"constraints": { "max_files": N, "forbidden_paths": [] },
"validation": ["<node_command>"]
}
4. Capsule (The Result)
- Only on success. Reference Gene used.
{
"type": "Capsule",
"schema_version": "1.5.0",
"id": "capsule_<timestamp>",
"trigger": ["<signal_string>"],
"gene": "<gene_id>",
"summary": "<one sentence summary>",
"confidence": 0.0-1.0,
"blast_radius": { "files": N, "lines": N }
}
`.trim();
function buildAntiPatternZone(failedCapsules, signals) {
if (!Array.isArray(failedCapsules) || failedCapsules.length === 0) return '';
if (!Array.isArray(signals) || signals.length === 0) return '';
var sigSet = new Set(signals.map(function (s) { return String(s).toLowerCase(); }));
var matched = [];
for (var i = failedCapsules.length - 1; i >= 0 && matched.length < 3; i--) {
var fc = failedCapsules[i];
if (!fc) continue;
var triggers = Array.isArray(fc.trigger) ? fc.trigger : [];
var overlap = 0;
for (var j = 0; j < triggers.length; j++) {
if (sigSet.has(String(triggers[j]).toLowerCase())) overlap++;
}
if (triggers.length > 0 && overlap / triggers.length >= 0.4) {
matched.push(fc);
}
}
if (matched.length === 0) return '';
var lines = matched.map(function (fc, idx) {
var diffPreview = fc.diff_snapshot ? String(fc.diff_snapshot).slice(0, 500) : '(no diff)';
return [
' ' + (idx + 1) + '. Gene: ' + (fc.gene || 'unknown') + ' | Signals: [' + (fc.trigger || []).slice(0, 4).join(', ') + ']',
' Failure: ' + String(fc.failure_reason || 'unknown').slice(0, 300),
' Diff (first 500 chars): ' + diffPreview.replace(/\n/g, ' '),
].join('\n');
});
return '\nContext [Anti-Pattern Zone] (AVOID these failed approaches):\n' + lines.join('\n') + '\n';
}
function buildLessonsBlock(hubLessons, signals) {
if (!Array.isArray(hubLessons) || hubLessons.length === 0) return '';
var sigSet = new Set((Array.isArray(signals) ? signals : []).map(function (s) { return String(s).toLowerCase(); }));
var positive = [];
var negative = [];
for (var i = 0; i < hubLessons.length && (positive.length + negative.length) < 6; i++) {
var l = hubLessons[i];
if (!l || !l.content) continue;
var entry = ' - [' + (l.scenario || l.lesson_type || '?') + '] ' + String(l.content).slice(0, 300);
if (l.source_node_id) entry += ' (from: ' + String(l.source_node_id).slice(0, 20) + ')';
if (l.lesson_type === 'negative') {
negative.push(entry);
} else {
positive.push(entry);
}
}
if (positive.length === 0 && negative.length === 0) return '';
var parts = ['\nContext [Lessons from Ecosystem] (Cross-agent learned experience):'];
if (positive.length > 0) {
parts.push(' Strategies that WORKED:');
parts.push(positive.join('\n'));
}
if (negative.length > 0) {
parts.push(' Pitfalls to AVOID:');
parts.push(negative.join('\n'));
}
parts.push(' Apply relevant lessons. Ignore irrelevant ones.\n');
return parts.join('\n');
}
function buildGepPrompt({
nowIso,
context,
signals,
selector,
parentEventId,
selectedGene,
capsuleCandidates,
genesPreview,
capsulesPreview,
capabilityCandidatesPreview,
externalCandidatesPreview,
hubMatchedBlock,
cycleId,
recentHistory,
failedCapsules,
hubLessons,
}) {
const parentValue = parentEventId ? `"${parentEventId}"` : 'null';
const selectedGeneId = selectedGene && selectedGene.id ? selectedGene.id : 'gene_<name>';
const envFingerprint = captureEnvFingerprint();
const cycleLabel = cycleId ? ` Cycle #${cycleId}` : '';
// Extract strategy from selected gene if available
let strategyBlock = "";
if (selectedGene && selectedGene.strategy && Array.isArray(selectedGene.strategy)) {
strategyBlock = `
ACTIVE STRATEGY (${selectedGeneId}):
${selectedGene.strategy.map((s, i) => `${i + 1}. ${s}`).join('\n')}
ADHERE TO THIS STRATEGY STRICTLY.
`.trim();
} else {
// Fallback strategy if no gene is selected or strategy is missing
strategyBlock = `
ACTIVE STRATEGY (Generic):
1. Analyze signals and context.
2. Select or create a Gene that addresses the root cause.
3. Apply minimal, safe changes.
4. Validate changes strictly.
5. Solidify knowledge.
`.trim();
}
// Use intelligent truncation
const executionContext = truncateContext(context, 20000);
// Strict Schema Injection
const schemaSection = SCHEMA_DEFINITIONS.replace('<parent_evt_id|null>', parentValue);
// Reduce noise by filtering capabilityCandidatesPreview if too large
// If a gene is selected, we need less noise from capabilities
let capsPreview = capabilityCandidatesPreview || '(none)';
const capsLimit = selectedGene ? 500 : 2000;
if (capsPreview.length > capsLimit) {
capsPreview = capsPreview.slice(0, capsLimit) + "\n...[TRUNCATED_CAPABILITIES]...";
}
// Optimize signals display: truncate long signals and limit count
const uniqueSignals = Array.from(new Set(signals || []));
const optimizedSignals = uniqueSignals.slice(0, 50).map(s => {
if (typeof s === 'string' && s.length > 200) {
return s.slice(0, 200) + '...[TRUNCATED_SIGNAL]';
}
return s;
});
if (uniqueSignals.length > 50) {
optimizedSignals.push(`...[TRUNCATED ${uniqueSignals.length - 50} SIGNALS]...`);
}
const formattedGenes = formatAssetPreview(genesPreview);
const formattedCapsules = formatAssetPreview(capsulesPreview);
// [2026-02-14] Innovation Catalyst Integration
// If stagnation is detected, inject concrete innovation ideas into the prompt.
let innovationBlock = '';
const stagnationSignals = [
'evolution_stagnation_detected',
'stable_success_plateau',
'repair_loop_detected',
'force_innovation_after_repair_loop',
'empty_cycle_loop_detected',
'evolution_saturation'
];
if (uniqueSignals.some(s => stagnationSignals.includes(s))) {
const ideas = generateInnovationIdeas();
if (ideas && ideas.length > 0) {
innovationBlock = `
Context [Innovation Catalyst] (Stagnation Detected - Consider These Ideas):
${ideas.join('\n')}
`;
}
}
// [2026-02-14] Strict Stagnation Directive
// If uniqueSignals contains 'evolution_stagnation_detected' or 'stable_success_plateau',
// inject a MANDATORY directive to force innovation and forbid repair/optimize if not strictly necessary.
if (uniqueSignals.includes('evolution_stagnation_detected') || uniqueSignals.includes('stable_success_plateau')) {
const stagnationDirective = `
*** CRITICAL STAGNATION DIRECTIVE ***
System has detected stagnation (repetitive cycles or lack of progress).
You MUST choose INTENT: INNOVATE.
You MUST NOT choose repair or optimize unless there is a critical blocking error (log_error).
Prefer implementing one of the Innovation Catalyst ideas above.
`;
innovationBlock += stagnationDirective;
}
// [2026-02-14] Recent History Integration
let historyBlock = '';
if (recentHistory && recentHistory.length > 0) {
historyBlock = `
Recent Evolution History (last 8 cycles -- DO NOT repeat the same intent+signal+gene):
${recentHistory.map((h, i) => ` ${i + 1}. [${h.intent}] signals=[${h.signals.slice(0, 2).join(', ')}] gene=${h.gene_id} outcome=${h.outcome.status} @${h.timestamp}`).join('\n')}
IMPORTANT: If you see 3+ consecutive "repair" cycles with the same gene, you MUST switch to "innovate" intent.
`.trim();
}
// Refactor prompt assembly to minimize token usage and maximize clarity
// UPDATED: 2026-02-14 (Optimized Asset Embedding & Strict Schema v2.5 - JSON-Only Hardening)
const basePrompt = `
GEP — GENOME EVOLUTION PROTOCOL (v1.10.3 STRICT)${cycleLabel} [${nowIso}]
You are a protocol-bound evolution engine. Compliance overrides optimality.
${schemaSection}
━━━━━━━━━━━━━━━━━━━━━━
II. Directives & Logic
━━━━━━━━━━━━━━━━━━━━━━
1. Intent: ${selector && selector.intent ? selector.intent.toUpperCase() : 'UNKNOWN'}
Reason: ${(selector && selector.reason) ? (Array.isArray(selector.reason) ? selector.reason.join('; ') : selector.reason) : 'No reason provided.'}
2. Selection: Selected Gene "${selectedGeneId}".
${strategyBlock}
3. Execution: Apply changes (tool calls). Repair/Optimize: small/reversible. Innovate: new skills in \`skills/<name>/\`.
4. Validation: Run gene's validation steps. Fail = ROLLBACK.
5. Solidify: Output 5 Mandatory Objects. Update Gene/Capsule files.
6. Report: Use \`feishu-evolver-wrapper/report.js\`. Describe WHAT/WHY.
PHILOSOPHY:
- Automate Patterns: 3+ manual occurrences = tool.
- Innovate > Maintain: 60% innovation.
- Robustness: Fix recurring errors permanently.
- Blast Radius Control (CRITICAL):
* Check file count BEFORE editing. > 80% of max_files = STOP.
* System hard cap: 60 files / 20000 lines per cycle.
* Repair: fix ONLY broken files. Do NOT reinstall/bulk-copy.
* Prefer targeted edits.
- Strictness: NO CHITCHAT. NO MARKDOWN WRAPPERS around JSON. Output RAW JSON objects separated by newlines.
- NO "Here is the plan" or conversational filler. START IMMEDIATELY WITH JSON.
CONSTRAINTS:
- No \`exec\` for messaging (use feishu-post/card).
- \`exec\` usage: Only for background tasks. LOG IT. Optimize usage to avoid high token burn.
- New skills -> \`skills/<name>/\`.
- NEVER modify \`skills/evolver/\` or \`skills/feishu-evolver-wrapper/\`. These are managed through the human-reviewed release pipeline.
Self-modification causes instability and is blocked by solidify. To enable (NOT recommended): set EVOLVE_ALLOW_SELF_MODIFY=true.
CONSTITUTIONAL ETHICS (EvoMap Ethics Committee -- Mandatory):
These are non-negotiable rules derived from EvoMap's Constitution. Violation = FAILED + ROLLBACK.
1. HUMAN WELFARE PRIORITY: Never create tools, scripts, or strategies that could harm humans,
enable surveillance, social engineering, phishing, or manipulation of human behavior.
2. CARBON-SILICON SYMBIOSIS: Evolution must serve both human and agent interests.
Never attempt to replace, marginalize, or deceive human users.
3. TRANSPARENCY: All actions must be auditable. Never hide, obfuscate, or conceal
the intent or effect of mutations. No steganography or covert channels.
4. FAIRNESS: Never create monopolistic strategies that block other agents.
Fair competition through quality, not exclusion.
5. SAFETY: Never bypass, disable, or weaken safety mechanisms, guardrails,
validation checks, or security controls. Never create tools to do so.
- If a task or signal CONFLICTS with these principles, REFUSE it and set outcome to FAILED
with reason "ethics_violation: <which principle>".
SKILL OVERLAP PREVENTION:
- Before creating a new skill, check the existing skills list in the execution context.
- If a skill with similar functionality already exists (e.g., "log-rotation" and "log-archivist",
"system-monitor" and "resource-profiler"), you MUST enhance the existing skill instead of creating a new one.
- Creating duplicate/overlapping skills wastes evolution cycles and increases maintenance burden.
- Violation = mark outcome as FAILED with reason "skill_overlap".
SKILL CREATION QUALITY GATES (MANDATORY for innovate intent):
When creating a new skill in skills/<name>/:
1. STRUCTURE: Follow the standard skill layout:
skills/<name>/
|- index.js (required: main entry with working exports)
|- SKILL.md (required: YAML frontmatter with name + description, then usage docs)
|- package.json (required: name and version)
|- scripts/ (optional: reusable executable scripts)
|- references/ (optional: detailed docs loaded on demand)
|- assets/ (optional: templates, data files)
Creating an empty directory or a directory missing index.js = FAILED.
Do NOT create unnecessary files (README.md, CHANGELOG.md, INSTALLATION_GUIDE.md, etc.).
2. SKILL.MD FRONTMATTER: Every SKILL.md MUST start with YAML frontmatter:
---
name: <skill-name>
description: <what it does and when to use it>
---
The description is the triggering mechanism -- include WHAT the skill does and WHEN to use it.
3. CONCISENESS: SKILL.md body should be under 500 lines. Keep instructions lean.
Only include information the agent does not already know. Move detailed reference
material to references/ files, not into SKILL.md itself.
4. EXPORT VERIFICATION: Every exported function must be importable.
Run: node -e "const s = require('./skills/<name>'); console.log(Object.keys(s))"
If this fails, the skill is broken. Fix before solidify.
5. NO HARDCODED SECRETS: Never embed API keys, tokens, or secrets in code.
Use process.env or .env references. Hardcoded App ID, App Secret, Bearer tokens = FAILED.
6. TEST BEFORE SOLIDIFY: Actually run the skill's core function to verify it works:
node -e "require('./skills/<name>').main ? require('./skills/<name>').main() : console.log('ok')"
Scripts in scripts/ must also be tested by executing them.
7. ATOMIC CREATION: Create ALL files for a skill in a single cycle.
Do not create a directory in one cycle and fill it in the next.
Empty directories from failed cycles will be automatically cleaned up on rollback.
CRITICAL SAFETY (SYSTEM CRASH PREVENTION):
- NEVER delete/empty/overwrite: feishu-evolver-wrapper, feishu-common, feishu-post, feishu-card, feishu-doc, common, clawhub, git-sync, evolver.
- NEVER delete root files: MEMORY.md, SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, RECENT_EVENTS.md, TOOLS.md, openclaw.json, .env, package.json.
- Fix broken skills; DO NOT delete and recreate.
- Violation = ROLLBACK + FAILED.
COMMON FAILURE PATTERNS:
- Blast radius exceeded.
- Omitted Mutation object.
- Merged objects into one JSON.
- Hallucinated "type": "Logic".
- "id": "mut_undefined".
- Missing "trigger_signals".
- Unrunnable validation steps.
- Markdown code blocks wrapping JSON (FORBIDDEN).
FAILURE STREAK AWARENESS:
- If "consecutive_failure_streak_N" or "failure_loop_detected":
1. Change approach (do NOT repeat failed gene).
2. Pick SIMPLER fix.
3. Respect "ban_gene:<id>".
Final Directive: Every cycle must leave the system measurably better.
START IMMEDIATELY WITH RAW JSON (Mutation Object first).
DO NOT WRITE ANY INTRODUCTORY TEXT.
Context [Signals]:
${JSON.stringify(optimizedSignals)}
Context [Env Fingerprint]:
${JSON.stringify(envFingerprint, null, 2)}
${innovationBlock}
Context [Injection Hint]:
${process.env.EVOLVE_HINT ? process.env.EVOLVE_HINT : '(none)'}
Context [Gene Preview] (Reference for Strategy):
${formattedGenes}
Context [Capsule Preview] (Reference for Past Success):
${formattedCapsules}
Context [Capability Candidates]:
${capsPreview}
Context [Hub Matched Solution]:
${hubMatchedBlock || '(no hub match)'}
Context [External Candidates]:
${externalCandidatesPreview || '(none)'}
${buildAntiPatternZone(failedCapsules, signals)}${buildLessonsBlock(hubLessons, signals)}
${historyBlock}
Context [Execution]:
${executionContext}
━━━━━━━━━━━━━━━━━━━━━━
MANDATORY POST-SOLIDIFY STEP (Wrapper Authority -- Cannot Be Skipped)
━━━━━━━━━━━━━━━━━━━━━━
After solidify, a status summary file MUST exist for this cycle.
Preferred path: evolver core auto-writes it during solidify.
The wrapper will handle reporting AFTER git push.
If core write is unavailable for any reason, create fallback status JSON manually.
Write a JSON file with your status:
\`\`\`bash
cat > ${process.env.WORKSPACE_DIR || '.'}/logs/status_${cycleId}.json << 'STATUSEOF'
{
"result": "success|failed",
"en": "Status: [INTENT] <describe what you did in 1-2 sentences, in English>",
"zh": "状态: [意图] <用中文描述你做了什么,1-2句>"
}
STATUSEOF
\`\`\`
Rules:
- "en" field: English status. "zh" field: Chinese status. Content must match (different language).
- Add "result" with value success or failed.
- INTENT must be one of: INNOVATION, REPAIR, OPTIMIZE (or Chinese: 创新, 修复, 优化)
- Do NOT use generic text like "Step Complete", "Cycle finished", "周期已完成". Describe the actual work.
- Example:
{"result":"success","en":"Status: [INNOVATION] Created auto-scheduler that syncs calendar to HEARTBEAT.md","zh":"状态: [创新] 创建了自动调度器,将日历同步到 HEARTBEAT.md"}
`.trim();
const maxChars = Number.isFinite(Number(process.env.GEP_PROMPT_MAX_CHARS)) ? Number(process.env.GEP_PROMPT_MAX_CHARS) : 50000;
if (basePrompt.length <= maxChars) return basePrompt;
const executionContextIndex = basePrompt.indexOf("Context [Execution]:");
if (executionContextIndex > -1) {
const prefix = basePrompt.slice(0, executionContextIndex + 20);
const currentExecution = basePrompt.slice(executionContextIndex + 20);
// Hard cap the execution context length to avoid token limit errors even if MAX_CHARS is high.
// 20000 chars is roughly 5k tokens, which is safe for most models alongside the rest of the prompt.
const EXEC_CONTEXT_CAP = 20000;
const allowedExecutionLength = Math.min(EXEC_CONTEXT_CAP, Math.max(0, maxChars - prefix.length - 100));
return prefix + "\n" + currentExecution.slice(0, allowedExecutionLength) + "\n...[TRUNCATED]...";
}
return basePrompt.slice(0, maxChars) + "\n...[TRUNCATED]...";
}
module.exports = { buildGepPrompt, buildReusePrompt, buildHubMatchedBlock, buildLessonsBlock };
@@ -0,0 +1,212 @@
// ---------------------------------------------------------------------------
// questionGenerator -- analyzes evolution context (signals, session transcripts,
// recent events) and generates proactive questions for the Hub bounty system.
//
// Questions are sent via the A2A fetch payload.questions field. The Hub creates
// bounties from them, enabling multi-agent collaborative problem solving.
// ---------------------------------------------------------------------------
const fs = require('fs');
const path = require('path');
const { getEvolutionDir } = require('./paths');
const QUESTION_STATE_FILE = path.join(getEvolutionDir(), 'question_generator_state.json');
const MIN_INTERVAL_MS = 3 * 60 * 60 * 1000; // at most once per 3 hours
const MAX_QUESTIONS_PER_CYCLE = 2;
function readState() {
try {
if (fs.existsSync(QUESTION_STATE_FILE)) {
return JSON.parse(fs.readFileSync(QUESTION_STATE_FILE, 'utf8'));
}
} catch (_) {}
return { lastAskedAt: null, recentQuestions: [] };
}
function writeState(state) {
try {
const dir = path.dirname(QUESTION_STATE_FILE);
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
fs.writeFileSync(QUESTION_STATE_FILE, JSON.stringify(state, null, 2) + '\n');
} catch (_) {}
}
function isDuplicate(question, recentQuestions) {
var qLower = question.toLowerCase();
for (var i = 0; i < recentQuestions.length; i++) {
var prev = String(recentQuestions[i] || '').toLowerCase();
if (prev === qLower) return true;
// fuzzy: if >70% overlap by word set
var qWords = new Set(qLower.split(/\s+/).filter(function(w) { return w.length > 2; }));
var pWords = new Set(prev.split(/\s+/).filter(function(w) { return w.length > 2; }));
if (qWords.size === 0 || pWords.size === 0) continue;
var overlap = 0;
qWords.forEach(function(w) { if (pWords.has(w)) overlap++; });
if (overlap / Math.max(qWords.size, pWords.size) > 0.7) return true;
}
return false;
}
/**
* Generate proactive questions based on evolution context.
*
* @param {object} opts
* @param {string[]} opts.signals - current cycle signals
* @param {object[]} opts.recentEvents - recent EvolutionEvent objects
* @param {string} opts.sessionTranscript - recent session transcript
* @param {string} opts.memorySnippet - MEMORY.md content
* @returns {Array<{ question: string, amount: number, signals: string[] }>}
*/
function generateQuestions(opts) {
var o = opts || {};
var signals = Array.isArray(o.signals) ? o.signals : [];
var recentEvents = Array.isArray(o.recentEvents) ? o.recentEvents : [];
var transcript = String(o.sessionTranscript || '');
var memory = String(o.memorySnippet || '');
var state = readState();
// Rate limit: don't ask too frequently
if (state.lastAskedAt) {
var elapsed = Date.now() - new Date(state.lastAskedAt).getTime();
if (elapsed < MIN_INTERVAL_MS) return [];
}
var candidates = [];
var signalSet = new Set(signals);
// --- Strategy 1: Recurring errors the agent cannot resolve ---
if (signalSet.has('recurring_error') || signalSet.has('high_failure_ratio')) {
var errSig = signals.find(function(s) { return s.startsWith('recurring_errsig'); });
if (errSig) {
var errDetail = errSig.replace(/^recurring_errsig\(\d+x\):/, '').trim().slice(0, 120);
candidates.push({
question: 'Recurring error in evolution cycle that auto-repair cannot resolve: ' + errDetail + ' -- What approaches or patches have worked for similar issues?',
amount: 0,
signals: ['recurring_error', 'auto_repair_failed'],
priority: 3,
});
}
}
// --- Strategy 2: Capability gaps detected from user conversations ---
if (signalSet.has('capability_gap') || signalSet.has('unsupported_input_type')) {
var gapContext = '';
var lines = transcript.split('\n');
for (var i = 0; i < lines.length; i++) {
if (/not supported|cannot|unsupported|not implemented/i.test(lines[i])) {
gapContext = lines[i].replace(/\s+/g, ' ').trim().slice(0, 150);
break;
}
}
if (gapContext) {
candidates.push({
question: 'Capability gap detected in agent environment: ' + gapContext + ' -- How can this be addressed or what alternative approaches exist?',
amount: 0,
signals: ['capability_gap'],
priority: 2,
});
}
}
// --- Strategy 3: Stagnation / saturation -- seek new directions ---
if (signalSet.has('evolution_saturation') || signalSet.has('force_steady_state')) {
var recentGenes = [];
var last5 = recentEvents.slice(-5);
for (var j = 0; j < last5.length; j++) {
var genes = last5[j].genes_used;
if (Array.isArray(genes) && genes.length > 0) {
recentGenes.push(genes[0]);
}
}
var uniqueGenes = Array.from(new Set(recentGenes));
candidates.push({
question: 'Agent evolution has reached saturation after exhausting genes: [' + uniqueGenes.join(', ') + ']. What new evolution directions, automation patterns, or capability genes would be most valuable?',
amount: 0,
signals: ['evolution_saturation', 'innovation_needed'],
priority: 1,
});
}
// --- Strategy 4: Consecutive failure streak -- seek external help ---
var failStreak = signals.find(function(s) { return s.startsWith('consecutive_failure_streak_'); });
if (failStreak) {
var streakCount = parseInt(failStreak.replace('consecutive_failure_streak_', ''), 10) || 0;
if (streakCount >= 4) {
var failGene = signals.find(function(s) { return s.startsWith('ban_gene:'); });
var failGeneId = failGene ? failGene.replace('ban_gene:', '') : 'unknown';
candidates.push({
question: 'Agent has failed ' + streakCount + ' consecutive evolution cycles (last gene: ' + failGeneId + '). The current approach is exhausted. What alternative strategies or environmental fixes should be tried?',
amount: 0,
signals: ['failure_streak', 'external_help_needed'],
priority: 3,
});
}
}
// --- Strategy 5: User feature requests the agent can amplify ---
if (signalSet.has('user_feature_request') || signals.some(function (s) { return String(s).startsWith('user_feature_request:'); })) {
var featureLines = transcript.split('\n').filter(function(l) {
return /\b(add|implement|create|build|i want|i need|please add)\b/i.test(l);
});
if (featureLines.length > 0) {
var featureContext = featureLines[0].replace(/\s+/g, ' ').trim().slice(0, 150);
candidates.push({
question: 'User requested a feature that may benefit from community solutions: ' + featureContext + ' -- Are there existing implementations or best practices for this?',
amount: 0,
signals: ['user_feature_request', 'community_solution_sought'],
priority: 1,
});
}
}
// --- Strategy 6: Performance bottleneck -- seek optimization patterns ---
if (signalSet.has('perf_bottleneck')) {
var perfLines = transcript.split('\n').filter(function(l) {
return /\b(slow|timeout|latency|bottleneck|high cpu|high memory)\b/i.test(l);
});
if (perfLines.length > 0) {
var perfContext = perfLines[0].replace(/\s+/g, ' ').trim().slice(0, 150);
candidates.push({
question: 'Performance bottleneck detected: ' + perfContext + ' -- What optimization strategies or architectural patterns address this?',
amount: 0,
signals: ['perf_bottleneck', 'optimization_sought'],
priority: 2,
});
}
}
if (candidates.length === 0) return [];
// Sort by priority (higher = more urgent)
candidates.sort(function(a, b) { return b.priority - a.priority; });
// De-duplicate against recently asked questions
var recentQTexts = Array.isArray(state.recentQuestions) ? state.recentQuestions : [];
var filtered = [];
for (var fi = 0; fi < candidates.length && filtered.length < MAX_QUESTIONS_PER_CYCLE; fi++) {
if (!isDuplicate(candidates[fi].question, recentQTexts)) {
filtered.push(candidates[fi]);
}
}
if (filtered.length === 0) return [];
// Update state
var newRecentQuestions = recentQTexts.concat(filtered.map(function(q) { return q.question; }));
// Keep only last 20 questions in history
if (newRecentQuestions.length > 20) {
newRecentQuestions = newRecentQuestions.slice(-20);
}
writeState({
lastAskedAt: new Date().toISOString(),
recentQuestions: newRecentQuestions,
});
// Strip internal priority field before returning
return filtered.map(function(q) {
return { question: q.question, amount: q.amount, signals: q.signals };
});
}
module.exports = { generateQuestions };
@@ -0,0 +1,67 @@
// Pre-publish payload sanitization.
// Removes sensitive tokens, local paths, emails, and env references
// from capsule payloads before broadcasting to the hub.
// Patterns to redact (replaced with placeholder)
const REDACT_PATTERNS = [
// API keys & tokens (generic)
/Bearer\s+[A-Za-z0-9\-._~+\/]+=*/g,
/sk-[A-Za-z0-9]{20,}/g,
/token[=:]\s*["']?[A-Za-z0-9\-._~+\/]{16,}["']?/gi,
/api[_-]?key[=:]\s*["']?[A-Za-z0-9\-._~+\/]{16,}["']?/gi,
/secret[=:]\s*["']?[A-Za-z0-9\-._~+\/]{16,}["']?/gi,
/password[=:]\s*["']?[^\s"',;)}\]]{6,}["']?/gi,
// GitHub tokens (ghp_, gho_, ghu_, ghs_, github_pat_)
/ghp_[A-Za-z0-9]{36,}/g,
/gho_[A-Za-z0-9]{36,}/g,
/ghu_[A-Za-z0-9]{36,}/g,
/ghs_[A-Za-z0-9]{36,}/g,
/github_pat_[A-Za-z0-9_]{22,}/g,
// AWS access keys
/AKIA[0-9A-Z]{16}/g,
// OpenAI / Anthropic tokens
/sk-proj-[A-Za-z0-9\-_]{20,}/g,
/sk-ant-[A-Za-z0-9\-_]{20,}/g,
// npm tokens
/npm_[A-Za-z0-9]{36,}/g,
// Private keys
/-----BEGIN\s+(?:RSA\s+|EC\s+|DSA\s+|OPENSSH\s+)?PRIVATE\s+KEY-----[\s\S]*?-----END\s+(?:RSA\s+|EC\s+|DSA\s+|OPENSSH\s+)?PRIVATE\s+KEY-----/g,
// Basic auth in URLs (redact only credentials, keep :// and @)
/(?<=:\/\/)[^@\s]+:[^@\s]+(?=@)/g,
// Local filesystem paths
/\/home\/[^\s"',;)}\]]+/g,
/\/Users\/[^\s"',;)}\]]+/g,
/[A-Z]:\\[^\s"',;)}\]]+/g,
// Email addresses
/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g,
// .env file references
/\.env(?:\.[a-zA-Z]+)?/g,
];
const REDACTED = '[REDACTED]';
function redactString(str) {
if (typeof str !== 'string') return str;
let result = str;
for (const pattern of REDACT_PATTERNS) {
// Reset lastIndex for global regexes
pattern.lastIndex = 0;
result = result.replace(pattern, REDACTED);
}
return result;
}
/**
* Deep-clone and sanitize a capsule payload.
* Returns a new object with sensitive values redacted.
* Does NOT modify the original.
*/
function sanitizePayload(capsule) {
if (!capsule || typeof capsule !== 'object') return capsule;
return JSON.parse(JSON.stringify(capsule), (_key, value) => {
if (typeof value === 'string') return redactString(value);
return value;
});
}
module.exports = { sanitizePayload, redactString };
@@ -0,0 +1,242 @@
function matchPatternToSignals(pattern, signals) {
if (!pattern || !signals || signals.length === 0) return false;
const p = String(pattern);
const sig = signals.map(s => String(s));
const regexLike = p.length >= 2 && p.startsWith('/') && p.lastIndexOf('/') > 0;
if (regexLike) {
const lastSlash = p.lastIndexOf('/');
const body = p.slice(1, lastSlash);
const flags = p.slice(lastSlash + 1);
try {
const re = new RegExp(body, flags || 'i');
return sig.some(s => re.test(s));
} catch (e) {
// fallback to substring
}
}
const needle = p.toLowerCase();
return sig.some(s => s.toLowerCase().includes(needle));
}
function scoreGene(gene, signals) {
if (!gene || gene.type !== 'Gene') return 0;
const patterns = Array.isArray(gene.signals_match) ? gene.signals_match : [];
if (patterns.length === 0) return 0;
let score = 0;
for (const pat of patterns) {
if (matchPatternToSignals(pat, signals)) score += 1;
}
return score;
}
// Population-size-dependent drift intensity.
// In population genetics, genetic drift is stronger in small populations (Ne).
// driftIntensity: 0 = pure selection, 1 = pure drift (random).
// Formula: intensity = 1 / sqrt(Ne) where Ne = effective population size.
// This replaces the binary driftEnabled flag with a continuous spectrum.
function computeDriftIntensity(opts) {
// If explicitly enabled/disabled, use that as the baseline
var driftEnabled = !!(opts && opts.driftEnabled);
// Effective population size: active gene count in the pool
var effectivePopulationSize = opts && Number.isFinite(Number(opts.effectivePopulationSize))
? Number(opts.effectivePopulationSize)
: null;
// If no Ne provided, fall back to gene pool size
var genePoolSize = opts && Number.isFinite(Number(opts.genePoolSize))
? Number(opts.genePoolSize)
: null;
var ne = effectivePopulationSize || genePoolSize || null;
if (driftEnabled) {
// Explicit drift: use moderate-to-high intensity
return ne && ne > 1 ? Math.min(1, 1 / Math.sqrt(ne) + 0.3) : 0.7;
}
if (ne != null && ne > 0) {
// Population-dependent drift: small population = more drift
// Ne=1: intensity=1.0 (pure drift), Ne=25: intensity=0.2, Ne=100: intensity=0.1
return Math.min(1, 1 / Math.sqrt(ne));
}
return 0; // No drift info available, pure selection
}
function selectGene(genes, signals, opts) {
const bannedGeneIds = opts && opts.bannedGeneIds ? opts.bannedGeneIds : new Set();
const driftEnabled = !!(opts && opts.driftEnabled);
const preferredGeneId = opts && typeof opts.preferredGeneId === 'string' ? opts.preferredGeneId : null;
// Compute continuous drift intensity based on effective population size
var driftIntensity = computeDriftIntensity({
driftEnabled: driftEnabled,
effectivePopulationSize: opts && opts.effectivePopulationSize,
genePoolSize: genes ? genes.length : 0,
});
var useDrift = driftEnabled || driftIntensity > 0.15;
var DISTILLED_PREFIX = 'gene_distilled_';
var DISTILLED_SCORE_FACTOR = 0.8;
const scored = genes
.map(g => {
var s = scoreGene(g, signals);
if (s > 0 && g.id && String(g.id).startsWith(DISTILLED_PREFIX)) s *= DISTILLED_SCORE_FACTOR;
return { gene: g, score: s };
})
.filter(x => x.score > 0)
.sort((a, b) => b.score - a.score);
if (scored.length === 0) return { selected: null, alternatives: [], driftIntensity: driftIntensity };
// Memory graph preference: only override when the preferred gene is already a match candidate.
if (preferredGeneId) {
const preferred = scored.find(x => x.gene && x.gene.id === preferredGeneId);
if (preferred && (useDrift || !bannedGeneIds.has(preferredGeneId))) {
const rest = scored.filter(x => x.gene && x.gene.id !== preferredGeneId);
const filteredRest = useDrift ? rest : rest.filter(x => x.gene && !bannedGeneIds.has(x.gene.id));
return {
selected: preferred.gene,
alternatives: filteredRest.slice(0, 4).map(x => x.gene),
driftIntensity: driftIntensity,
};
}
}
// Low-efficiency suppression: do not repeat low-confidence paths unless drift is active.
const filtered = useDrift ? scored : scored.filter(x => x.gene && !bannedGeneIds.has(x.gene.id));
if (filtered.length === 0) return { selected: null, alternatives: scored.slice(0, 4).map(x => x.gene), driftIntensity: driftIntensity };
// Stochastic selection under drift: with probability proportional to driftIntensity,
// pick a random gene from the top candidates instead of always picking the best.
var selectedIdx = 0;
if (driftIntensity > 0 && filtered.length > 1 && Math.random() < driftIntensity) {
// Weighted random selection from top candidates (favor higher-scoring but allow lower)
var topN = Math.min(filtered.length, Math.max(2, Math.ceil(filtered.length * driftIntensity)));
selectedIdx = Math.floor(Math.random() * topN);
}
return {
selected: filtered[selectedIdx].gene,
alternatives: filtered.filter(function(_, i) { return i !== selectedIdx; }).slice(0, 4).map(x => x.gene),
driftIntensity: driftIntensity,
};
}
function selectCapsule(capsules, signals) {
const scored = (capsules || [])
.map(c => {
const triggers = Array.isArray(c.trigger) ? c.trigger : [];
const score = triggers.reduce((acc, t) => (matchPatternToSignals(t, signals) ? acc + 1 : acc), 0);
return { capsule: c, score };
})
.filter(x => x.score > 0)
.sort((a, b) => b.score - a.score);
return scored.length ? scored[0].capsule : null;
}
function computeSignalOverlap(signalsA, signalsB) {
if (!Array.isArray(signalsA) || !Array.isArray(signalsB)) return 0;
if (signalsA.length === 0 || signalsB.length === 0) return 0;
var setB = new Set(signalsB.map(function (s) { return String(s).toLowerCase(); }));
var hits = 0;
for (var i = 0; i < signalsA.length; i++) {
if (setB.has(String(signalsA[i]).toLowerCase())) hits++;
}
return hits / Math.max(signalsA.length, 1);
}
var FAILED_CAPSULE_BAN_THRESHOLD = 2;
var FAILED_CAPSULE_OVERLAP_MIN = 0.6;
function banGenesFromFailedCapsules(failedCapsules, signals, existingBans) {
var bans = existingBans instanceof Set ? new Set(existingBans) : new Set();
if (!Array.isArray(failedCapsules) || failedCapsules.length === 0) return bans;
var geneFailCounts = {};
for (var i = 0; i < failedCapsules.length; i++) {
var fc = failedCapsules[i];
if (!fc || !fc.gene) continue;
var overlap = computeSignalOverlap(signals, fc.trigger || []);
if (overlap < FAILED_CAPSULE_OVERLAP_MIN) continue;
var gid = String(fc.gene);
geneFailCounts[gid] = (geneFailCounts[gid] || 0) + 1;
}
var keys = Object.keys(geneFailCounts);
for (var j = 0; j < keys.length; j++) {
if (geneFailCounts[keys[j]] >= FAILED_CAPSULE_BAN_THRESHOLD) {
bans.add(keys[j]);
}
}
return bans;
}
function selectGeneAndCapsule({ genes, capsules, signals, memoryAdvice, driftEnabled, failedCapsules }) {
const bannedGeneIds =
memoryAdvice && memoryAdvice.bannedGeneIds instanceof Set ? memoryAdvice.bannedGeneIds : new Set();
const preferredGeneId = memoryAdvice && memoryAdvice.preferredGeneId ? memoryAdvice.preferredGeneId : null;
var effectiveBans = banGenesFromFailedCapsules(
Array.isArray(failedCapsules) ? failedCapsules : [],
signals,
bannedGeneIds
);
const { selected, alternatives, driftIntensity } = selectGene(genes, signals, {
bannedGeneIds: effectiveBans,
preferredGeneId,
driftEnabled: !!driftEnabled,
});
const capsule = selectCapsule(capsules, signals);
const selector = buildSelectorDecision({
gene: selected,
capsule,
signals,
alternatives,
memoryAdvice,
driftEnabled,
driftIntensity,
});
return {
selectedGene: selected,
capsuleCandidates: capsule ? [capsule] : [],
selector,
driftIntensity,
};
}
function buildSelectorDecision({ gene, capsule, signals, alternatives, memoryAdvice, driftEnabled, driftIntensity }) {
const reason = [];
if (gene) reason.push('signals match gene.signals_match');
if (capsule) reason.push('capsule trigger matches signals');
if (!gene) reason.push('no matching gene found; new gene may be required');
if (signals && signals.length) reason.push(`signals: ${signals.join(', ')}`);
if (memoryAdvice && Array.isArray(memoryAdvice.explanation) && memoryAdvice.explanation.length) {
reason.push(`memory_graph: ${memoryAdvice.explanation.join(' | ')}`);
}
if (driftEnabled) {
reason.push('random_drift_override: true');
}
if (Number.isFinite(driftIntensity) && driftIntensity > 0) {
reason.push(`drift_intensity: ${driftIntensity.toFixed(3)}`);
}
return {
selected: gene ? gene.id : null,
reason,
alternatives: Array.isArray(alternatives) ? alternatives.map(g => g.id) : [],
};
}
module.exports = {
selectGeneAndCapsule,
selectGene,
selectCapsule,
buildSelectorDecision,
matchPatternToSignals,
};
@@ -0,0 +1,417 @@
// Opportunity signal names (shared with mutation.js and personality.js).
var OPPORTUNITY_SIGNALS = [
'user_feature_request',
'user_improvement_suggestion',
'perf_bottleneck',
'capability_gap',
'stable_success_plateau',
'external_opportunity',
'recurring_error',
'unsupported_input_type',
'evolution_stagnation_detected',
'repair_loop_detected',
'force_innovation_after_repair_loop',
];
function hasOpportunitySignal(signals) {
var list = Array.isArray(signals) ? signals : [];
for (var i = 0; i < OPPORTUNITY_SIGNALS.length; i++) {
var name = OPPORTUNITY_SIGNALS[i];
if (list.includes(name)) return true;
if (list.some(function (s) { return String(s).startsWith(name + ':'); })) return true;
}
return false;
}
// Build a de-duplication set from recent evolution events.
// Returns an object: { suppressedSignals: Set<string>, recentIntents: string[], consecutiveRepairCount: number }
function analyzeRecentHistory(recentEvents) {
if (!Array.isArray(recentEvents) || recentEvents.length === 0) {
return { suppressedSignals: new Set(), recentIntents: [], consecutiveRepairCount: 0 };
}
// Take only the last 10 events
var recent = recentEvents.slice(-10);
// Count consecutive same-intent runs at the tail
var consecutiveRepairCount = 0;
for (var i = recent.length - 1; i >= 0; i--) {
if (recent[i].intent === 'repair') {
consecutiveRepairCount++;
} else {
break;
}
}
// Count signal frequency in last 8 events: signal -> count
var signalFreq = {};
var geneFreq = {};
var tail = recent.slice(-8);
for (var j = 0; j < tail.length; j++) {
var evt = tail[j];
var sigs = Array.isArray(evt.signals) ? evt.signals : [];
for (var k = 0; k < sigs.length; k++) {
var s = String(sigs[k]);
// Normalize: strip details suffix so frequency keys match dedup filter keys
var key = s.startsWith('errsig:') ? 'errsig'
: s.startsWith('recurring_errsig') ? 'recurring_errsig'
: s.startsWith('user_feature_request:') ? 'user_feature_request'
: s.startsWith('user_improvement_suggestion:') ? 'user_improvement_suggestion'
: s;
signalFreq[key] = (signalFreq[key] || 0) + 1;
}
var genes = Array.isArray(evt.genes_used) ? evt.genes_used : [];
for (var g = 0; g < genes.length; g++) {
geneFreq[String(genes[g])] = (geneFreq[String(genes[g])] || 0) + 1;
}
}
// Suppress signals that appeared in 3+ of the last 8 events (they are being over-processed)
var suppressedSignals = new Set();
var entries = Object.entries(signalFreq);
for (var ei = 0; ei < entries.length; ei++) {
if (entries[ei][1] >= 3) {
suppressedSignals.add(entries[ei][0]);
}
}
var recentIntents = recent.map(function(e) { return e.intent || 'unknown'; });
// Count empty cycles (blast_radius.files === 0) in last 8 events.
// High ratio indicates the evolver is spinning without producing real changes.
var emptyCycleCount = 0;
for (var ec = 0; ec < tail.length; ec++) {
var br = tail[ec].blast_radius;
var em = tail[ec].meta && tail[ec].meta.empty_cycle;
if (em || (br && br.files === 0 && br.lines === 0)) {
emptyCycleCount++;
}
}
// Count consecutive empty cycles at the tail (not just total in last 8).
// This detects saturation: the evolver has exhausted innovation space and keeps producing
// zero-change cycles. Used to trigger graceful degradation to steady-state mode.
var consecutiveEmptyCycles = 0;
for (var se = recent.length - 1; se >= 0; se--) {
var seBr = recent[se].blast_radius;
var seEm = recent[se].meta && recent[se].meta.empty_cycle;
if (seEm || (seBr && seBr.files === 0 && seBr.lines === 0)) {
consecutiveEmptyCycles++;
} else {
break;
}
}
// Count consecutive failures at the tail of recent events.
// This tells the evolver "you have been failing N times in a row -- slow down."
var consecutiveFailureCount = 0;
for (var cf = recent.length - 1; cf >= 0; cf--) {
var outcome = recent[cf].outcome;
if (outcome && outcome.status === 'failed') {
consecutiveFailureCount++;
} else {
break;
}
}
// Count total failures in last 8 events (failure ratio).
var recentFailureCount = 0;
for (var rf = 0; rf < tail.length; rf++) {
var rfOut = tail[rf].outcome;
if (rfOut && rfOut.status === 'failed') recentFailureCount++;
}
return {
suppressedSignals: suppressedSignals,
recentIntents: recentIntents,
consecutiveRepairCount: consecutiveRepairCount,
emptyCycleCount: emptyCycleCount,
consecutiveEmptyCycles: consecutiveEmptyCycles,
consecutiveFailureCount: consecutiveFailureCount,
recentFailureCount: recentFailureCount,
recentFailureRatio: tail.length > 0 ? recentFailureCount / tail.length : 0,
signalFreq: signalFreq,
geneFreq: geneFreq,
};
}
function extractSignals({ recentSessionTranscript, todayLog, memorySnippet, userSnippet, recentEvents }) {
var signals = [];
var corpus = [
String(recentSessionTranscript || ''),
String(todayLog || ''),
String(memorySnippet || ''),
String(userSnippet || ''),
].join('\n');
var lower = corpus.toLowerCase();
// Analyze recent evolution history for de-duplication
var history = analyzeRecentHistory(recentEvents || []);
// --- Defensive signals (errors, missing resources) ---
// Refined error detection regex to avoid false positives on "fail"/"failed" in normal text.
// We prioritize structured error markers ([error], error:, exception:) and specific JSON patterns.
var errorHit = /\[error\]|error:|exception:|iserror":true|"status":\s*"error"|"status":\s*"failed"|错误\s*[::]|异常\s*[::]|报错\s*[::]|失败\s*[::]/.test(lower);
if (errorHit) signals.push('log_error');
// Error signature (more reproducible than a coarse "log_error" tag).
try {
var lines = corpus
.split('\n')
.map(function (l) { return String(l || '').trim(); })
.filter(Boolean);
var errLine =
lines.find(function (l) { return /\b(typeerror|referenceerror|syntaxerror)\b\s*:|error\s*:|exception\s*:|\[error|错误\s*[::]|异常\s*[::]|报错\s*[::]|失败\s*[::]/i.test(l); }) ||
null;
if (errLine) {
var clipped = errLine.replace(/\s+/g, ' ').slice(0, 260);
signals.push('errsig:' + clipped);
}
} catch (e) {}
if (lower.includes('memory.md missing')) signals.push('memory_missing');
if (lower.includes('user.md missing')) signals.push('user_missing');
if (lower.includes('key missing')) signals.push('integration_key_missing');
if (lower.includes('no session logs found') || lower.includes('no jsonl files')) signals.push('session_logs_missing');
// if (lower.includes('pgrep') || lower.includes('ps aux')) signals.push('windows_shell_incompatible');
if (lower.includes('path.resolve(__dirname, \'../../../')) signals.push('path_outside_workspace');
// Protocol-specific drift signals
if (lower.includes('prompt') && !lower.includes('evolutionevent')) signals.push('protocol_drift');
// --- Recurring error detection (robustness signals) ---
// Count repeated identical errors -- these indicate systemic issues that need automated fixes
try {
var errorCounts = {};
var errPatterns = corpus.match(/(?:LLM error|"error"|"status":\s*"error")[^}]{0,200}/gi) || [];
for (var ep = 0; ep < errPatterns.length; ep++) {
// Normalize to a short key
var key = errPatterns[ep].replace(/\s+/g, ' ').slice(0, 100);
errorCounts[key] = (errorCounts[key] || 0) + 1;
}
var recurringErrors = Object.entries(errorCounts).filter(function (e) { return e[1] >= 3; });
if (recurringErrors.length > 0) {
signals.push('recurring_error');
// Include the top recurring error signature for the agent to diagnose
var topErr = recurringErrors.sort(function (a, b) { return b[1] - a[1]; })[0];
signals.push('recurring_errsig(' + topErr[1] + 'x):' + topErr[0].slice(0, 150));
}
} catch (e) {}
// --- Unsupported input type (e.g. GIF, video formats the LLM can't handle) ---
if (/unsupported mime|unsupported.*type|invalid.*mime/i.test(lower)) {
signals.push('unsupported_input_type');
}
// --- Opportunity signals (innovation / feature requests) ---
// Support 4 languages: EN, ZH-CN, ZH-TW, JA. Attach snippet for selector/prompt use.
var featureRequestSnippet = '';
var featEn = corpus.match(/\b(add|implement|create|build|make|develop|write|design)\b[^.?!\n]{3,120}\b(feature|function|module|capability|tool|support|endpoint|command|option|mode)\b/i);
if (featEn) featureRequestSnippet = featEn[0].replace(/\s+/g, ' ').trim().slice(0, 200);
if (!featureRequestSnippet && /\b(i want|i need|we need|please add|can you add|could you add|let'?s add)\b/i.test(lower)) {
var featWant = corpus.match(/.{0,80}\b(i want|i need|we need|please add|can you add|could you add|let'?s add)\b.{0,80}/i);
featureRequestSnippet = featWant ? featWant[0].replace(/\s+/g, ' ').trim().slice(0, 200) : 'feature request';
}
if (!featureRequestSnippet && /加个|实现一下|做个|想要\s*一个|需要\s*一个|帮我加|帮我开发|加一下|新增一个|加个功能|做个功能|我想/.test(corpus)) {
var featZh = corpus.match(/.{0,100}(加个|实现一下|做个|想要\s*一个|需要\s*一个|帮我加|帮我开发|加一下|新增一个|加个功能|做个功能).{0,100}/);
if (featZh) featureRequestSnippet = featZh[0].replace(/\s+/g, ' ').trim().slice(0, 200);
if (!featureRequestSnippet && /我想/.test(corpus)) {
var featWantZh = corpus.match(/我想\s*[,,\.。、\s]*([\s\S]{0,400})/);
featureRequestSnippet = featWantZh ? (featWantZh[1].replace(/\s+/g, ' ').trim().slice(0, 200) || '功能需求') : '功能需求';
}
if (!featureRequestSnippet) featureRequestSnippet = '功能需求';
}
if (!featureRequestSnippet && /加個|實現一下|做個|想要一個|請加|新增一個|加個功能|做個功能|幫我加/.test(corpus)) {
var featTw = corpus.match(/.{0,100}(加個|實現一下|做個|想要一個|請加|新增一個|加個功能|做個功能|幫我加).{0,100}/);
featureRequestSnippet = featTw ? featTw[0].replace(/\s+/g, ' ').trim().slice(0, 200) : '功能需求';
}
if (!featureRequestSnippet && /追加|実装|作って|機能を|追加して|が欲しい|を追加|してほしい/.test(corpus)) {
var featJa = corpus.match(/.{0,100}(追加|実装|作って|機能を|追加して|が欲しい|を追加|してほしい).{0,100}/);
featureRequestSnippet = featJa ? featJa[0].replace(/\s+/g, ' ').trim().slice(0, 200) : '機能要望';
}
if (featureRequestSnippet || /\b(add|implement|create|build|make|develop|write|design)\b[^.?!\n]{3,60}\b(feature|function|module|capability|tool|support|endpoint|command|option|mode)\b/i.test(corpus) ||
/\b(i want|i need|we need|please add|can you add|could you add|let'?s add)\b/i.test(lower) ||
/加个|实现一下|做个|想要\s*一个|需要\s*一个|帮我加|帮我开发|加一下|新增一个|加个功能|做个功能|我想/.test(corpus) ||
/加個|實現一下|做個|想要一個|請加|新增一個|加個功能|做個功能|幫我加/.test(corpus) ||
/追加|実装|作って|機能を|追加して|が欲しい|を追加|してほしい/.test(corpus)) {
signals.push('user_feature_request:' + (featureRequestSnippet || ''));
}
// user_improvement_suggestion: 4 languages + snippet
var improvementSnippet = '';
if (!errorHit) {
var impEn = corpus.match(/.{0,80}\b(should be|could be better|improve|enhance|upgrade|refactor|clean up|simplify|streamline)\b.{0,80}/i);
if (impEn) improvementSnippet = impEn[0].replace(/\s+/g, ' ').trim().slice(0, 200);
if (!improvementSnippet && /改进一下|优化一下|简化|重构|整理一下|弄得更好/.test(corpus)) {
var impZh = corpus.match(/.{0,100}(改进一下|优化一下|简化|重构|整理一下|弄得更好).{0,100}/);
improvementSnippet = impZh ? impZh[0].replace(/\s+/g, ' ').trim().slice(0, 200) : '改进建议';
}
if (!improvementSnippet && /改進一下|優化一下|簡化|重構|整理一下|弄得更好/.test(corpus)) {
var impTw = corpus.match(/.{0,100}(改進一下|優化一下|簡化|重構|整理一下|弄得更好).{0,100}/);
improvementSnippet = impTw ? impTw[0].replace(/\s+/g, ' ').trim().slice(0, 200) : '改進建議';
}
if (!improvementSnippet && /改善|最適化|簡素化|リファクタ|良くして|改良/.test(corpus)) {
var impJa = corpus.match(/.{0,100}(改善|最適化|簡素化|リファクタ|良くして|改良).{0,100}/);
improvementSnippet = impJa ? impJa[0].replace(/\s+/g, ' ').trim().slice(0, 200) : '改善要望';
}
var hasImprovement = improvementSnippet ||
/\b(should be|could be better|improve|enhance|upgrade|refactor|clean up|simplify|streamline)\b/i.test(lower) ||
/改进一下|优化一下|简化|重构|整理一下|弄得更好/.test(corpus) ||
/改進一下|優化一下|簡化|重構|整理一下|弄得更好/.test(corpus) ||
/改善|最適化|簡素化|リファクタ|良くして|改良/.test(corpus);
if (hasImprovement) {
signals.push('user_improvement_suggestion:' + (improvementSnippet || ''));
}
}
// perf_bottleneck: performance issues detected
if (/\b(slow|timeout|timed?\s*out|latency|bottleneck|took too long|performance issue|high cpu|high memory|oom|out of memory)\b/i.test(lower)) {
signals.push('perf_bottleneck');
}
// capability_gap: something is explicitly unsupported or missing
if (/\b(not supported|cannot|doesn'?t support|no way to|missing feature|unsupported|not available|not implemented|no support for)\b/i.test(lower)) {
// Only fire if it is not just a missing file/config signal
if (!signals.includes('memory_missing') && !signals.includes('user_missing') && !signals.includes('session_logs_missing')) {
signals.push('capability_gap');
}
}
// --- Tool Usage Analytics ---
var toolUsage = {};
var toolMatches = corpus.match(/\[TOOL:\s*(\w+)\]/g) || [];
// Extract exec commands to identify benign loops (like watchdog checks)
var execCommands = corpus.match(/exec: (node\s+[\w\/\.-]+\.js\s+ensure)/g) || [];
var benignExecCount = execCommands.length;
for (var i = 0; i < toolMatches.length; i++) {
var toolName = toolMatches[i].match(/\[TOOL:\s*(\w+)\]/)[1];
toolUsage[toolName] = (toolUsage[toolName] || 0) + 1;
}
// Adjust exec count by subtracting benign commands
if (toolUsage['exec']) {
toolUsage['exec'] = Math.max(0, toolUsage['exec'] - benignExecCount);
}
Object.keys(toolUsage).forEach(function(tool) {
if (toolUsage[tool] >= 10) { // Bumped threshold from 5 to 10
signals.push('high_tool_usage:' + tool);
}
// Detect repeated exec usage (often a sign of manual loops or inefficient automation)
if (tool === 'exec' && toolUsage[tool] >= 5) { // Bumped threshold from 3 to 5
signals.push('repeated_tool_usage:exec');
}
});
// --- Signal prioritization ---
// Remove cosmetic signals when actionable signals exist
var actionable = signals.filter(function (s) {
return s !== 'user_missing' && s !== 'memory_missing' && s !== 'session_logs_missing' && s !== 'windows_shell_incompatible';
});
// If we have actionable signals, drop the cosmetic ones
if (actionable.length > 0) {
signals = actionable;
}
// --- De-duplication: suppress signals that have been over-processed ---
if (history.suppressedSignals.size > 0) {
var beforeDedup = signals.length;
signals = signals.filter(function (s) {
// Normalize signal key for comparison
var key = s.startsWith('errsig:') ? 'errsig'
: s.startsWith('recurring_errsig') ? 'recurring_errsig'
: s.startsWith('user_feature_request:') ? 'user_feature_request'
: s.startsWith('user_improvement_suggestion:') ? 'user_improvement_suggestion'
: s;
return !history.suppressedSignals.has(key);
});
if (beforeDedup > 0 && signals.length === 0) {
// All signals were suppressed = system is stable but stuck in a loop
// Force innovation
signals.push('evolution_stagnation_detected');
signals.push('stable_success_plateau');
}
}
// --- Force innovation after 3+ consecutive repairs ---
if (history.consecutiveRepairCount >= 3) {
// Remove repair-only signals (log_error, errsig) and inject innovation signals
signals = signals.filter(function (s) {
return s !== 'log_error' && !s.startsWith('errsig:') && !s.startsWith('recurring_errsig');
});
if (signals.length === 0) {
signals.push('repair_loop_detected');
signals.push('stable_success_plateau');
}
// Append a directive signal that the prompt can pick up
signals.push('force_innovation_after_repair_loop');
}
// --- Force innovation after too many empty cycles (zero blast radius) ---
// If >= 50% of last 8 cycles produced no code changes, the evolver is spinning idle.
// Strip repair signals and force innovate to break the empty loop.
if (history.emptyCycleCount >= 4) {
signals = signals.filter(function (s) {
return s !== 'log_error' && !s.startsWith('errsig:') && !s.startsWith('recurring_errsig');
});
if (!signals.includes('empty_cycle_loop_detected')) signals.push('empty_cycle_loop_detected');
if (!signals.includes('stable_success_plateau')) signals.push('stable_success_plateau');
}
// --- Saturation detection (graceful degradation) ---
// When consecutive empty cycles pile up at the tail, the evolver has exhausted its
// innovation space. Instead of spinning idle forever, signal that the system should
// switch to steady-state maintenance mode with reduced evolution frequency.
// This directly addresses the Echo-MingXuan failure: Cycle #55 hit "no committable
// code changes" and load spiked to 1.30 because there was no degradation strategy.
if (history.consecutiveEmptyCycles >= 5) {
if (!signals.includes('force_steady_state')) signals.push('force_steady_state');
if (!signals.includes('evolution_saturation')) signals.push('evolution_saturation');
} else if (history.consecutiveEmptyCycles >= 3) {
if (!signals.includes('evolution_saturation')) signals.push('evolution_saturation');
}
// --- Failure streak awareness ---
// When the evolver has failed many consecutive cycles, inject a signal
// telling the LLM to be more conservative and avoid repeating the same approach.
if (history.consecutiveFailureCount >= 3) {
signals.push('consecutive_failure_streak_' + history.consecutiveFailureCount);
// After 5+ consecutive failures, force a strategy change (don't keep trying the same thing)
if (history.consecutiveFailureCount >= 5) {
signals.push('failure_loop_detected');
// Strip the dominant gene's signals to force a different gene selection
var topGene = null;
var topGeneCount = 0;
var gfEntries = Object.entries(history.geneFreq);
for (var gfi = 0; gfi < gfEntries.length; gfi++) {
if (gfEntries[gfi][1] > topGeneCount) {
topGeneCount = gfEntries[gfi][1];
topGene = gfEntries[gfi][0];
}
}
if (topGene) {
signals.push('ban_gene:' + topGene);
}
}
}
// High failure ratio in recent history (>= 75% failed in last 8 cycles)
if (history.recentFailureRatio >= 0.75) {
signals.push('high_failure_ratio');
signals.push('force_innovation_after_repair_loop');
}
// If no signals at all, add a default innovation signal
if (signals.length === 0) {
signals.push('stable_success_plateau');
}
return Array.from(new Set(signals));
}
module.exports = { extractSignals, hasOpportunitySignal, analyzeRecentHistory, OPPORTUNITY_SIGNALS };
@@ -0,0 +1,499 @@
'use strict';
var fs = require('fs');
var path = require('path');
var crypto = require('crypto');
var paths = require('./paths');
var DISTILLER_MIN_CAPSULES = parseInt(process.env.DISTILLER_MIN_CAPSULES || '10', 10) || 10;
var DISTILLER_INTERVAL_HOURS = parseInt(process.env.DISTILLER_INTERVAL_HOURS || '24', 10) || 24;
var DISTILLER_MIN_SUCCESS_RATE = parseFloat(process.env.DISTILLER_MIN_SUCCESS_RATE || '0.7') || 0.7;
var DISTILLED_MAX_FILES = 12;
var DISTILLED_ID_PREFIX = 'gene_distilled_';
function ensureDir(dir) {
if (!fs.existsSync(dir)) fs.mkdirSync(dir, { recursive: true });
}
function readJsonIfExists(filePath, fallback) {
try {
if (!fs.existsSync(filePath)) return fallback;
var raw = fs.readFileSync(filePath, 'utf8');
if (!raw.trim()) return fallback;
return JSON.parse(raw);
} catch (e) {
return fallback;
}
}
function readJsonlIfExists(filePath) {
try {
if (!fs.existsSync(filePath)) return [];
var raw = fs.readFileSync(filePath, 'utf8');
return raw.split('\n').map(function (l) { return l.trim(); }).filter(Boolean).map(function (l) {
try { return JSON.parse(l); } catch (e) { return null; }
}).filter(Boolean);
} catch (e) {
return [];
}
}
function appendJsonl(filePath, obj) {
ensureDir(path.dirname(filePath));
fs.appendFileSync(filePath, JSON.stringify(obj) + '\n', 'utf8');
}
function distillerLogPath() {
return path.join(paths.getMemoryDir(), 'distiller_log.jsonl');
}
function distillerStatePath() {
return path.join(paths.getMemoryDir(), 'distiller_state.json');
}
function readDistillerState() {
return readJsonIfExists(distillerStatePath(), {});
}
function writeDistillerState(state) {
ensureDir(path.dirname(distillerStatePath()));
var tmp = distillerStatePath() + '.tmp';
fs.writeFileSync(tmp, JSON.stringify(state, null, 2) + '\n', 'utf8');
fs.renameSync(tmp, distillerStatePath());
}
function computeDataHash(capsules) {
var ids = capsules.map(function (c) { return c.id || ''; }).sort();
return crypto.createHash('sha256').update(ids.join('|')).digest('hex').slice(0, 16);
}
// ---------------------------------------------------------------------------
// Step 1: collectDistillationData
// ---------------------------------------------------------------------------
function collectDistillationData() {
var assetsDir = paths.getGepAssetsDir();
var evoDir = paths.getEvolutionDir();
var capsulesJson = readJsonIfExists(path.join(assetsDir, 'capsules.json'), { capsules: [] });
var capsulesJsonl = readJsonlIfExists(path.join(assetsDir, 'capsules.jsonl'));
var allCapsules = [].concat(capsulesJson.capsules || [], capsulesJsonl);
var unique = new Map();
allCapsules.forEach(function (c) { if (c && c.id) unique.set(String(c.id), c); });
allCapsules = Array.from(unique.values());
var successCapsules = allCapsules.filter(function (c) {
if (!c || !c.outcome) return false;
var status = typeof c.outcome === 'string' ? c.outcome : c.outcome.status;
if (status !== 'success') return false;
var score = c.outcome && Number.isFinite(Number(c.outcome.score)) ? Number(c.outcome.score) : 1;
return score >= DISTILLER_MIN_SUCCESS_RATE;
});
var events = readJsonlIfExists(path.join(assetsDir, 'events.jsonl'));
var memGraphPath = process.env.MEMORY_GRAPH_PATH || path.join(evoDir, 'memory_graph.jsonl');
var graphEntries = readJsonlIfExists(memGraphPath);
var grouped = {};
successCapsules.forEach(function (c) {
var geneId = c.gene || c.gene_id || 'unknown';
if (!grouped[geneId]) {
grouped[geneId] = {
gene_id: geneId, capsules: [], total_count: 0,
total_score: 0, triggers: [], summaries: [],
};
}
var g = grouped[geneId];
g.capsules.push(c);
g.total_count += 1;
g.total_score += (c.outcome && Number.isFinite(Number(c.outcome.score))) ? Number(c.outcome.score) : 0.8;
if (Array.isArray(c.trigger)) g.triggers.push(c.trigger);
if (c.summary) g.summaries.push(String(c.summary));
});
Object.keys(grouped).forEach(function (id) {
var g = grouped[id];
g.avg_score = g.total_count > 0 ? g.total_score / g.total_count : 0;
});
return {
successCapsules: successCapsules,
allCapsules: allCapsules,
events: events,
graphEntries: graphEntries,
grouped: grouped,
dataHash: computeDataHash(successCapsules),
};
}
// ---------------------------------------------------------------------------
// Step 2: analyzePatterns
// ---------------------------------------------------------------------------
function analyzePatterns(data) {
var grouped = data.grouped;
var report = {
high_frequency: [],
strategy_drift: [],
coverage_gaps: [],
total_success: data.successCapsules.length,
total_capsules: data.allCapsules.length,
success_rate: data.allCapsules.length > 0 ? data.successCapsules.length / data.allCapsules.length : 0,
};
Object.keys(grouped).forEach(function (geneId) {
var g = grouped[geneId];
if (g.total_count >= 5) {
var flat = [];
g.triggers.forEach(function (t) { if (Array.isArray(t)) flat = flat.concat(t); });
var freq = {};
flat.forEach(function (t) { var k = String(t).toLowerCase(); freq[k] = (freq[k] || 0) + 1; });
var top = Object.keys(freq).sort(function (a, b) { return freq[b] - freq[a]; }).slice(0, 5);
report.high_frequency.push({ gene_id: geneId, count: g.total_count, avg_score: Math.round(g.avg_score * 100) / 100, top_triggers: top });
}
if (g.summaries.length >= 3) {
var first = g.summaries[0];
var last = g.summaries[g.summaries.length - 1];
if (first !== last) {
var fw = new Set(first.toLowerCase().split(/\s+/));
var lw = new Set(last.toLowerCase().split(/\s+/));
var inter = 0;
fw.forEach(function (w) { if (lw.has(w)) inter++; });
var union = fw.size + lw.size - inter;
var sim = union > 0 ? inter / union : 1;
if (sim < 0.6) {
report.strategy_drift.push({ gene_id: geneId, similarity: Math.round(sim * 100) / 100, early_summary: first.slice(0, 120), recent_summary: last.slice(0, 120) });
}
}
}
});
var signalFreq = {};
(data.events || []).forEach(function (evt) {
if (evt && Array.isArray(evt.signals)) {
evt.signals.forEach(function (s) { var k = String(s).toLowerCase(); signalFreq[k] = (signalFreq[k] || 0) + 1; });
}
});
var covered = new Set();
Object.keys(grouped).forEach(function (geneId) {
grouped[geneId].triggers.forEach(function (t) {
if (Array.isArray(t)) t.forEach(function (s) { covered.add(String(s).toLowerCase()); });
});
});
var gaps = Object.keys(signalFreq)
.filter(function (s) { return signalFreq[s] >= 3 && !covered.has(s); })
.sort(function (a, b) { return signalFreq[b] - signalFreq[a]; })
.slice(0, 10);
if (gaps.length > 0) {
report.coverage_gaps = gaps.map(function (s) { return { signal: s, frequency: signalFreq[s] }; });
}
return report;
}
// ---------------------------------------------------------------------------
// Step 3: LLM response parsing
// ---------------------------------------------------------------------------
function extractJsonFromLlmResponse(text) {
var str = String(text || '');
var buffer = '';
var depth = 0;
for (var i = 0; i < str.length; i++) {
var ch = str[i];
if (ch === '{') { if (depth === 0) buffer = ''; depth++; buffer += ch; }
else if (ch === '}') {
depth--; buffer += ch;
if (depth === 0 && buffer.length > 2) {
try { var obj = JSON.parse(buffer); if (obj && typeof obj === 'object' && obj.type === 'Gene') return obj; } catch (e) {}
buffer = '';
}
if (depth < 0) depth = 0;
} else if (depth > 0) { buffer += ch; }
}
return null;
}
function buildDistillationPrompt(analysis, existingGenes, sampleCapsules) {
var genesRef = existingGenes.map(function (g) {
return { id: g.id, category: g.category || null, signals_match: g.signals_match || [] };
});
var samples = sampleCapsules.slice(0, 8).map(function (c) {
return { gene: c.gene || c.gene_id || null, trigger: c.trigger || [], summary: (c.summary || '').slice(0, 200), outcome: c.outcome || null };
});
return [
'You are a Gene synthesis engine for the GEP (Gene Expression Protocol).',
'',
'Analyze the following successful evolution capsules and extract a reusable Gene.',
'',
'RULES:',
'- Strategy steps MUST be actionable operations, NOT summaries',
'- Each step must be a concrete instruction an AI agent can execute',
'- Do NOT describe what happened; describe what TO DO next time',
'- The Gene MUST have a unique id starting with "' + DISTILLED_ID_PREFIX + '"',
'- constraints.max_files MUST be <= ' + DISTILLED_MAX_FILES,
'- constraints.forbidden_paths MUST include at least [".git", "node_modules"]',
'- Output valid Gene JSON only (no markdown, no explanation)',
'',
'SUCCESSFUL CAPSULES (grouped by pattern):',
JSON.stringify(samples, null, 2),
'',
'EXISTING GENES (avoid duplication):',
JSON.stringify(genesRef, null, 2),
'',
'ANALYSIS:',
JSON.stringify(analysis, null, 2),
'',
'Output a single Gene JSON object with these fields:',
'{ "type": "Gene", "id": "gene_distilled_...", "category": "...", "signals_match": [...], "preconditions": [...], "strategy": [...], "constraints": { "max_files": N, "forbidden_paths": [...] }, "validation": [...] }',
].join('\n');
}
function distillRequestPath() {
return path.join(paths.getMemoryDir(), 'distill_request.json');
}
// ---------------------------------------------------------------------------
// Step 4: validateSynthesizedGene
// ---------------------------------------------------------------------------
function validateSynthesizedGene(gene, existingGenes) {
var errors = [];
if (!gene || typeof gene !== 'object') return { valid: false, errors: ['gene is not an object'] };
if (gene.type !== 'Gene') errors.push('missing or wrong type (must be "Gene")');
if (!gene.id || typeof gene.id !== 'string') errors.push('missing id');
if (!gene.category) errors.push('missing category');
if (!Array.isArray(gene.signals_match) || gene.signals_match.length === 0) errors.push('missing or empty signals_match');
if (!Array.isArray(gene.strategy) || gene.strategy.length === 0) errors.push('missing or empty strategy');
if (gene.id && !String(gene.id).startsWith(DISTILLED_ID_PREFIX)) {
gene.id = DISTILLED_ID_PREFIX + String(gene.id).replace(/^gene_/, '');
}
if (!gene.constraints || typeof gene.constraints !== 'object') gene.constraints = {};
if (!Array.isArray(gene.constraints.forbidden_paths) || gene.constraints.forbidden_paths.length === 0) {
gene.constraints.forbidden_paths = ['.git', 'node_modules'];
}
if (!gene.constraints.forbidden_paths.some(function (p) { return p === '.git' || p === 'node_modules'; })) {
errors.push('constraints.forbidden_paths must include .git or node_modules');
}
if (!gene.constraints.max_files || gene.constraints.max_files > DISTILLED_MAX_FILES) {
gene.constraints.max_files = DISTILLED_MAX_FILES;
}
var ALLOWED_PREFIXES = ['node ', 'npm ', 'npx '];
if (Array.isArray(gene.validation)) {
gene.validation = gene.validation.filter(function (cmd) {
var c = String(cmd || '').trim();
if (!c) return false;
if (!ALLOWED_PREFIXES.some(function (p) { return c.startsWith(p); })) return false;
if (/`|\$\(/.test(c)) return false;
var stripped = c.replace(/"[^"]*"/g, '').replace(/'[^']*'/g, '');
return !/[;&|><]/.test(stripped);
});
}
var existingIds = new Set((existingGenes || []).map(function (g) { return g.id; }));
if (gene.id && existingIds.has(gene.id)) {
gene.id = gene.id + '_' + Date.now().toString(36);
}
if (gene.signals_match && existingGenes && existingGenes.length > 0) {
var newSet = new Set(gene.signals_match.map(function (s) { return String(s).toLowerCase(); }));
for (var i = 0; i < existingGenes.length; i++) {
var eg = existingGenes[i];
var egSet = new Set((eg.signals_match || []).map(function (s) { return String(s).toLowerCase(); }));
if (newSet.size > 0 && egSet.size > 0) {
var overlap = 0;
newSet.forEach(function (s) { if (egSet.has(s)) overlap++; });
if (overlap === newSet.size && overlap === egSet.size) {
errors.push('signals_match fully overlaps with existing gene: ' + eg.id);
}
}
}
}
return { valid: errors.length === 0, errors: errors, gene: gene };
}
// ---------------------------------------------------------------------------
// shouldDistill: gate check
// ---------------------------------------------------------------------------
function shouldDistill() {
if (String(process.env.SKILL_DISTILLER || 'true').toLowerCase() === 'false') return false;
var state = readDistillerState();
if (state.last_distillation_at) {
var elapsed = Date.now() - new Date(state.last_distillation_at).getTime();
if (elapsed < DISTILLER_INTERVAL_HOURS * 3600000) return false;
}
var assetsDir = paths.getGepAssetsDir();
var capsulesJson = readJsonIfExists(path.join(assetsDir, 'capsules.json'), { capsules: [] });
var capsulesJsonl = readJsonlIfExists(path.join(assetsDir, 'capsules.jsonl'));
var all = [].concat(capsulesJson.capsules || [], capsulesJsonl);
var recent = all.slice(-10);
var recentSuccess = recent.filter(function (c) {
return c && c.outcome && (c.outcome.status === 'success' || c.outcome === 'success');
}).length;
if (recentSuccess < 7) return false;
var totalSuccess = all.filter(function (c) {
return c && c.outcome && (c.outcome.status === 'success' || c.outcome === 'success');
}).length;
if (totalSuccess < DISTILLER_MIN_CAPSULES) return false;
return true;
}
// ---------------------------------------------------------------------------
// Step 5a: prepareDistillation -- collect data, build prompt, write to file
// ---------------------------------------------------------------------------
function prepareDistillation() {
console.log('[Distiller] Preparing skill distillation...');
var data = collectDistillationData();
console.log('[Distiller] Collected ' + data.successCapsules.length + ' successful capsules across ' + Object.keys(data.grouped).length + ' gene groups.');
if (data.successCapsules.length < DISTILLER_MIN_CAPSULES) {
console.log('[Distiller] Not enough successful capsules (' + data.successCapsules.length + ' < ' + DISTILLER_MIN_CAPSULES + '). Skipping.');
return { ok: false, reason: 'insufficient_data' };
}
var state = readDistillerState();
if (state.last_data_hash === data.dataHash) {
console.log('[Distiller] Data unchanged since last distillation (hash: ' + data.dataHash + '). Skipping.');
return { ok: false, reason: 'idempotent_skip' };
}
var analysis = analyzePatterns(data);
console.log('[Distiller] Analysis: high_freq=' + analysis.high_frequency.length + ' drift=' + analysis.strategy_drift.length + ' gaps=' + analysis.coverage_gaps.length);
var assetsDir = paths.getGepAssetsDir();
var existingGenesJson = readJsonIfExists(path.join(assetsDir, 'genes.json'), { genes: [] });
var existingGenes = existingGenesJson.genes || [];
var prompt = buildDistillationPrompt(analysis, existingGenes, data.successCapsules);
var memDir = paths.getMemoryDir();
ensureDir(memDir);
var promptFileName = 'distill_prompt_' + Date.now() + '.txt';
var promptPath = path.join(memDir, promptFileName);
fs.writeFileSync(promptPath, prompt, 'utf8');
var reqPath = distillRequestPath();
var requestData = {
type: 'DistillationRequest',
created_at: new Date().toISOString(),
prompt_path: promptPath,
data_hash: data.dataHash,
input_capsule_count: data.successCapsules.length,
analysis_summary: {
high_frequency_count: analysis.high_frequency.length,
drift_count: analysis.strategy_drift.length,
gap_count: analysis.coverage_gaps.length,
success_rate: Math.round(analysis.success_rate * 100) / 100,
},
};
fs.writeFileSync(reqPath, JSON.stringify(requestData, null, 2) + '\n', 'utf8');
console.log('[Distiller] Prompt written to: ' + promptPath);
return { ok: true, promptPath: promptPath, requestPath: reqPath, dataHash: data.dataHash };
}
// ---------------------------------------------------------------------------
// Step 5b: completeDistillation -- validate LLM response and save gene
// ---------------------------------------------------------------------------
function completeDistillation(responseText) {
var reqPath = distillRequestPath();
var request = readJsonIfExists(reqPath, null);
if (!request) {
console.warn('[Distiller] No pending distillation request found.');
return { ok: false, reason: 'no_request' };
}
var rawGene = extractJsonFromLlmResponse(responseText);
if (!rawGene) {
appendJsonl(distillerLogPath(), {
timestamp: new Date().toISOString(),
data_hash: request.data_hash,
status: 'error',
error: 'LLM response did not contain a valid Gene JSON',
});
console.error('[Distiller] LLM response did not contain a valid Gene JSON.');
return { ok: false, reason: 'no_gene_in_response' };
}
var assetsDir = paths.getGepAssetsDir();
var existingGenesJson = readJsonIfExists(path.join(assetsDir, 'genes.json'), { genes: [] });
var existingGenes = existingGenesJson.genes || [];
var validation = validateSynthesizedGene(rawGene, existingGenes);
var logEntry = {
timestamp: new Date().toISOString(),
data_hash: request.data_hash,
input_capsule_count: request.input_capsule_count,
analysis_summary: request.analysis_summary,
synthesized_gene_id: validation.gene ? validation.gene.id : null,
validation_passed: validation.valid,
validation_errors: validation.errors,
};
if (!validation.valid) {
logEntry.status = 'validation_failed';
appendJsonl(distillerLogPath(), logEntry);
console.warn('[Distiller] Gene failed validation: ' + validation.errors.join(', '));
return { ok: false, reason: 'validation_failed', errors: validation.errors };
}
var gene = validation.gene;
gene._distilled_meta = {
distilled_at: new Date().toISOString(),
source_capsule_count: request.input_capsule_count,
data_hash: request.data_hash,
};
var assetStore = require('./assetStore');
assetStore.upsertGene(gene);
console.log('[Distiller] Gene "' + gene.id + '" written to genes.json.');
var state = readDistillerState();
state.last_distillation_at = new Date().toISOString();
state.last_data_hash = request.data_hash;
state.last_gene_id = gene.id;
state.distillation_count = (state.distillation_count || 0) + 1;
writeDistillerState(state);
logEntry.status = 'success';
logEntry.gene = gene;
appendJsonl(distillerLogPath(), logEntry);
try { fs.unlinkSync(reqPath); } catch (e) {}
try { if (request.prompt_path) fs.unlinkSync(request.prompt_path); } catch (e) {}
console.log('[Distiller] Distillation complete. New gene: ' + gene.id);
return { ok: true, gene: gene };
}
module.exports = {
collectDistillationData: collectDistillationData,
analyzePatterns: analyzePatterns,
prepareDistillation: prepareDistillation,
completeDistillation: completeDistillation,
validateSynthesizedGene: validateSynthesizedGene,
shouldDistill: shouldDistill,
buildDistillationPrompt: buildDistillationPrompt,
extractJsonFromLlmResponse: extractJsonFromLlmResponse,
computeDataHash: computeDataHash,
distillerLogPath: distillerLogPath,
distillerStatePath: distillerStatePath,
distillRequestPath: distillRequestPath,
readDistillerState: readDistillerState,
writeDistillerState: writeDistillerState,
DISTILLED_ID_PREFIX: DISTILLED_ID_PREFIX,
DISTILLED_MAX_FILES: DISTILLED_MAX_FILES,
};
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,126 @@
// Evolution Strategy Presets (v1.1)
// Controls the balance between repair, optimize, and innovate intents.
//
// Usage: set EVOLVE_STRATEGY env var to one of: balanced, innovate, harden, repair-only,
// early-stabilize, steady-state, or "auto" for adaptive selection.
// Default: balanced (or auto-detected based on cycle count / saturation signals)
//
// Each strategy defines:
// repair/optimize/innovate - target allocation ratios (inform the LLM prompt)
// repairLoopThreshold - repair ratio in last 8 cycles that triggers forced innovation
// label - human-readable name injected into the GEP prompt
var fs = require('fs');
var path = require('path');
var STRATEGIES = {
'balanced': {
repair: 0.20,
optimize: 0.30,
innovate: 0.50,
repairLoopThreshold: 0.50,
label: 'Balanced',
description: 'Normal operation. Steady growth with stability.',
},
'innovate': {
repair: 0.05,
optimize: 0.15,
innovate: 0.80,
repairLoopThreshold: 0.30,
label: 'Innovation Focus',
description: 'System is stable. Maximize new features and capabilities.',
},
'harden': {
repair: 0.40,
optimize: 0.40,
innovate: 0.20,
repairLoopThreshold: 0.70,
label: 'Hardening',
description: 'After a big change. Focus on stability and robustness.',
},
'repair-only': {
repair: 0.80,
optimize: 0.20,
innovate: 0.00,
repairLoopThreshold: 1.00,
label: 'Repair Only',
description: 'Emergency. Fix everything before doing anything else.',
},
'early-stabilize': {
repair: 0.60,
optimize: 0.25,
innovate: 0.15,
repairLoopThreshold: 0.80,
label: 'Early Stabilization',
description: 'First cycles. Prioritize fixing existing issues before innovating.',
},
'steady-state': {
repair: 0.60,
optimize: 0.30,
innovate: 0.10,
repairLoopThreshold: 0.90,
label: 'Steady State',
description: 'Evolution saturated. Maintain existing capabilities. Minimal innovation.',
},
};
// Read evolution_state.json to get the current cycle count for auto-detection.
function _readCycleCount() {
try {
// evolver/memory/evolution_state.json (local to the skill)
var localPath = path.resolve(__dirname, '..', '..', 'memory', 'evolution_state.json');
// workspace/memory/evolution/evolution_state.json (canonical path used by evolve.js)
var workspacePath = path.resolve(__dirname, '..', '..', '..', '..', 'memory', 'evolution', 'evolution_state.json');
var candidates = [localPath, workspacePath];
for (var i = 0; i < candidates.length; i++) {
if (fs.existsSync(candidates[i])) {
var data = JSON.parse(fs.readFileSync(candidates[i], 'utf8'));
return data && Number.isFinite(data.cycleCount) ? data.cycleCount : 0;
}
}
} catch (e) {}
return 0;
}
function resolveStrategy(opts) {
var signals = (opts && Array.isArray(opts.signals)) ? opts.signals : [];
var name = String(process.env.EVOLVE_STRATEGY || 'balanced').toLowerCase().trim();
// Backward compatibility: FORCE_INNOVATION=true maps to 'innovate'
if (!process.env.EVOLVE_STRATEGY) {
var fi = String(process.env.FORCE_INNOVATION || process.env.EVOLVE_FORCE_INNOVATION || '').toLowerCase();
if (fi === 'true') name = 'innovate';
}
// Auto-detection: when no explicit strategy is set (defaults to 'balanced'),
// apply heuristics inspired by Echo-MingXuan's "fix first, innovate later" pattern.
var isDefault = !process.env.EVOLVE_STRATEGY || name === 'balanced' || name === 'auto';
if (isDefault) {
// Early-stabilize: first 5 cycles should focus on fixing existing issues.
var cycleCount = _readCycleCount();
if (cycleCount > 0 && cycleCount <= 5) {
name = 'early-stabilize';
}
// Saturation detection: if saturation signals are present, switch to steady-state.
if (signals.indexOf('force_steady_state') !== -1) {
name = 'steady-state';
} else if (signals.indexOf('evolution_saturation') !== -1) {
name = 'steady-state';
}
}
// Explicit "auto" maps to whatever was auto-detected above (or balanced if no heuristic fired).
if (name === 'auto') name = 'balanced';
var strategy = STRATEGIES[name] || STRATEGIES['balanced'];
strategy.name = name;
return strategy;
}
function getStrategyNames() {
return Object.keys(STRATEGIES);
}
module.exports = { resolveStrategy, getStrategyNames, STRATEGIES };
@@ -0,0 +1,373 @@
// ---------------------------------------------------------------------------
// taskReceiver -- pulls external tasks from Hub, auto-claims, and injects
// them as high-priority signals into the evolution loop.
//
// v2: Smart task selection with difficulty-aware ROI scoring and capability
// matching via memory graph history.
// ---------------------------------------------------------------------------
const { getNodeId } = require('./a2aProtocol');
const HUB_URL = process.env.A2A_HUB_URL || process.env.EVOMAP_HUB_URL || 'https://evomap.ai';
const TASK_STRATEGY = String(process.env.TASK_STRATEGY || 'balanced').toLowerCase();
const TASK_MIN_CAPABILITY_MATCH = Number(process.env.TASK_MIN_CAPABILITY_MATCH) || 0.1;
// Scoring weights by strategy
const STRATEGY_WEIGHTS = {
greedy: { roi: 0.10, capability: 0.05, completion: 0.05, bounty: 0.80 },
balanced: { roi: 0.35, capability: 0.30, completion: 0.20, bounty: 0.15 },
conservative: { roi: 0.25, capability: 0.45, completion: 0.25, bounty: 0.05 },
};
/**
* Fetch available tasks from Hub via the A2A fetch endpoint.
* Optionally piggybacks proactive questions in the payload for Hub to create bounties.
*
* @param {object} [opts]
* @param {Array<{ question: string, amount?: number, signals?: string[] }>} [opts.questions]
* @returns {{ tasks: Array, questions_created?: Array }}
*/
async function fetchTasks(opts) {
const o = opts || {};
const nodeId = getNodeId();
if (!nodeId) return { tasks: [] };
try {
const payload = {
asset_type: null,
include_tasks: true,
};
if (Array.isArray(o.questions) && o.questions.length > 0) {
payload.questions = o.questions;
}
const msg = {
protocol: 'gep-a2a',
protocol_version: '1.0.0',
message_type: 'fetch',
message_id: `msg_${Date.now()}_${Math.random().toString(36).slice(2, 8)}`,
sender_id: nodeId,
timestamp: new Date().toISOString(),
payload,
};
const url = `${HUB_URL.replace(/\/+$/, '')}/a2a/fetch`;
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), 8000);
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(msg),
signal: controller.signal,
});
clearTimeout(timer);
if (!res.ok) return { tasks: [] };
const data = await res.json();
const respPayload = data.payload || data;
const tasks = Array.isArray(respPayload.tasks) ? respPayload.tasks : [];
const result = { tasks };
if (respPayload.questions_created) {
result.questions_created = respPayload.questions_created;
}
// LessonL: extract relevant lessons from Hub response
if (Array.isArray(respPayload.relevant_lessons) && respPayload.relevant_lessons.length > 0) {
result.relevant_lessons = respPayload.relevant_lessons;
}
return result;
} catch {
return { tasks: [] };
}
}
// ---------------------------------------------------------------------------
// Capability matching: how well this agent's history matches a task's signals
// ---------------------------------------------------------------------------
function parseSignals(raw) {
if (!raw) return [];
return String(raw).split(',').map(function(s) { return s.trim().toLowerCase(); }).filter(Boolean);
}
function jaccard(a, b) {
if (!a.length || !b.length) return 0;
var setA = new Set(a);
var setB = new Set(b);
var inter = 0;
for (var v of setB) { if (setA.has(v)) inter++; }
return inter / (setA.size + setB.size - inter);
}
/**
* Estimate how well this agent can handle a task based on memory graph history.
* Returns 0.0 - 1.0 where 1.0 = strong match with high success rate.
*
* @param {object} task - task from Hub (has .signals field)
* @param {Array} memoryEvents - from tryReadMemoryGraphEvents()
* @returns {number}
*/
function estimateCapabilityMatch(task, memoryEvents) {
if (!Array.isArray(memoryEvents) || memoryEvents.length === 0) return 0.5;
var taskSignals = parseSignals(task.signals || task.title);
if (taskSignals.length === 0) return 0.5;
var successBySignalKey = {};
var totalBySignalKey = {};
var allSignals = {};
for (var i = 0; i < memoryEvents.length; i++) {
var ev = memoryEvents[i];
if (!ev || ev.type !== 'MemoryGraphEvent' || ev.kind !== 'outcome') continue;
var sigs = (ev.signal && Array.isArray(ev.signal.signals)) ? ev.signal.signals : [];
var key = (ev.signal && ev.signal.key) ? String(ev.signal.key) : '';
var status = (ev.outcome && ev.outcome.status) ? String(ev.outcome.status) : '';
for (var j = 0; j < sigs.length; j++) {
allSignals[sigs[j].toLowerCase()] = true;
}
if (!key) continue;
if (!totalBySignalKey[key]) { totalBySignalKey[key] = 0; successBySignalKey[key] = 0; }
totalBySignalKey[key]++;
if (status === 'success') successBySignalKey[key]++;
}
// Jaccard overlap between task signals and all signals this agent has worked with
var allSigArr = Object.keys(allSignals);
var overlapScore = jaccard(taskSignals, allSigArr);
// Weighted success rate across matching signal keys
var weightedSuccess = 0;
var weightSum = 0;
for (var sk in totalBySignalKey) {
// Reconstruct signals from the key for comparison
var skParts = sk.split(':').map(function(s) { return s.trim().toLowerCase(); }).filter(Boolean);
var sim = jaccard(taskSignals, skParts);
if (sim < 0.15) continue;
var total = totalBySignalKey[sk];
var succ = successBySignalKey[sk] || 0;
var rate = (succ + 1) / (total + 2); // Laplace smoothing
weightedSuccess += rate * sim;
weightSum += sim;
}
var successScore = weightSum > 0 ? (weightedSuccess / weightSum) : 0.5;
// Combine: 60% success rate history + 40% signal overlap
return Math.min(1, overlapScore * 0.4 + successScore * 0.6);
}
// ---------------------------------------------------------------------------
// Local fallback difficulty estimation when Hub doesn't provide complexity_score
// ---------------------------------------------------------------------------
function localDifficultyEstimate(task) {
var signals = parseSignals(task.signals);
var signalFactor = Math.min(signals.length / 8, 1);
var titleWords = (task.title || '').split(/\s+/).filter(Boolean).length;
var titleFactor = Math.min(titleWords / 15, 1);
return Math.min(1, signalFactor * 0.6 + titleFactor * 0.4);
}
// ---------------------------------------------------------------------------
// Score a single task for this agent
// ---------------------------------------------------------------------------
/**
* @param {object} task - task from Hub
* @param {number} capabilityMatch - from estimateCapabilityMatch()
* @returns {{ composite: number, factors: object }}
*/
function scoreTask(task, capabilityMatch) {
var w = STRATEGY_WEIGHTS[TASK_STRATEGY] || STRATEGY_WEIGHTS.balanced;
var difficulty = (task.complexity_score != null) ? task.complexity_score : localDifficultyEstimate(task);
var bountyAmount = task.bounty_amount || 0;
var completionRate = (task.historical_completion_rate != null) ? task.historical_completion_rate : 0.5;
// ROI: bounty per unit difficulty (higher = better value)
var roiRaw = bountyAmount / (difficulty + 0.1);
var roiNorm = Math.min(roiRaw / 200, 1); // normalize: 200-credit ROI = max
// Bounty absolute: normalize against a reference max
var bountyNorm = Math.min(bountyAmount / 100, 1);
var composite =
w.roi * roiNorm +
w.capability * capabilityMatch +
w.completion * completionRate +
w.bounty * bountyNorm;
return {
composite: Math.round(composite * 1000) / 1000,
factors: {
roi: Math.round(roiNorm * 100) / 100,
capability: Math.round(capabilityMatch * 100) / 100,
completion: Math.round(completionRate * 100) / 100,
bounty: Math.round(bountyNorm * 100) / 100,
difficulty: Math.round(difficulty * 100) / 100,
},
};
}
// ---------------------------------------------------------------------------
// Enhanced task selection with scoring
// ---------------------------------------------------------------------------
/**
* Pick the best task from a list using composite scoring.
* @param {Array} tasks
* @param {Array} [memoryEvents] - from tryReadMemoryGraphEvents()
* @returns {object|null}
*/
function selectBestTask(tasks, memoryEvents) {
if (!Array.isArray(tasks) || tasks.length === 0) return null;
var nodeId = getNodeId();
// Already-claimed tasks for this node always take top priority (resume work)
var myClaimedTask = tasks.find(function(t) {
return t.status === 'claimed' && t.claimed_by === nodeId;
});
if (myClaimedTask) return myClaimedTask;
// Filter to open tasks only
var open = tasks.filter(function(t) { return t.status === 'open'; });
if (open.length === 0) return null;
// Legacy greedy mode: preserve old behavior exactly
if (TASK_STRATEGY === 'greedy' && (!memoryEvents || memoryEvents.length === 0)) {
var bountyTasks = open.filter(function(t) { return t.bounty_id; });
if (bountyTasks.length > 0) {
bountyTasks.sort(function(a, b) { return (b.bounty_amount || 0) - (a.bounty_amount || 0); });
return bountyTasks[0];
}
return open[0];
}
// Score all open tasks
var scored = open.map(function(t) {
var cap = estimateCapabilityMatch(t, memoryEvents || []);
var result = scoreTask(t, cap);
return { task: t, composite: result.composite, factors: result.factors, capability: cap };
});
// Filter by minimum capability match (unless conservative skipping is off)
if (TASK_MIN_CAPABILITY_MATCH > 0) {
var filtered = scored.filter(function(s) { return s.capability >= TASK_MIN_CAPABILITY_MATCH; });
if (filtered.length > 0) scored = filtered;
}
scored.sort(function(a, b) { return b.composite - a.composite; });
// Log top 3 candidates for debugging
var top3 = scored.slice(0, 3);
for (var i = 0; i < top3.length; i++) {
var s = top3[i];
console.log('[TaskStrategy] #' + (i + 1) + ' "' + (s.task.title || s.task.task_id || '').slice(0, 50) + '" score=' + s.composite + ' ' + JSON.stringify(s.factors));
}
return scored[0] ? scored[0].task : null;
}
/**
* Claim a task on the Hub.
* @param {string} taskId
* @returns {boolean} true if claim succeeded
*/
async function claimTask(taskId) {
const nodeId = getNodeId();
if (!nodeId || !taskId) return false;
try {
const url = `${HUB_URL.replace(/\/+$/, '')}/a2a/task/claim`;
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), 5000);
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ task_id: taskId, node_id: nodeId }),
signal: controller.signal,
});
clearTimeout(timer);
return res.ok;
} catch {
return false;
}
}
/**
* Complete a task on the Hub with the result asset ID.
* @param {string} taskId
* @param {string} assetId
* @returns {boolean}
*/
async function completeTask(taskId, assetId) {
const nodeId = getNodeId();
if (!nodeId || !taskId || !assetId) return false;
try {
const url = `${HUB_URL.replace(/\/+$/, '')}/a2a/task/complete`;
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), 5000);
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ task_id: taskId, asset_id: assetId, node_id: nodeId }),
signal: controller.signal,
});
clearTimeout(timer);
return res.ok;
} catch {
return false;
}
}
/**
* Extract signals from a task to inject into evolution cycle.
* @param {object} task
* @returns {string[]} signals array
*/
function taskToSignals(task) {
if (!task) return [];
const signals = [];
if (task.signals) {
const parts = String(task.signals).split(',').map(s => s.trim()).filter(Boolean);
signals.push(...parts);
}
if (task.title) {
const words = String(task.title).toLowerCase().split(/\s+/).filter(w => w.length >= 3);
for (const w of words.slice(0, 5)) {
if (!signals.includes(w)) signals.push(w);
}
}
signals.push('external_task');
if (task.bounty_id) signals.push('bounty_task');
return signals;
}
module.exports = {
fetchTasks,
selectBestTask,
estimateCapabilityMatch,
scoreTask,
claimTask,
completeTask,
taskToSignals,
};
@@ -0,0 +1,55 @@
// Standardized ValidationReport type for GEP.
// Machine-readable, self-contained, and interoperable.
// Can be consumed by external Hubs or Judges for automated assessment.
const { computeAssetId, SCHEMA_VERSION } = require('./contentHash');
const { captureEnvFingerprint, envFingerprintKey } = require('./envFingerprint');
// Build a standardized ValidationReport from raw validation results.
function buildValidationReport({ geneId, commands, results, envFp, startedAt, finishedAt }) {
const env = envFp || captureEnvFingerprint();
const resultsList = Array.isArray(results) ? results : [];
const cmdsList = Array.isArray(commands) ? commands : resultsList.map(function (r) { return r && r.cmd ? String(r.cmd) : ''; });
const overallOk = resultsList.length > 0 && resultsList.every(function (r) { return r && r.ok; });
const durationMs =
Number.isFinite(startedAt) && Number.isFinite(finishedAt) ? finishedAt - startedAt : null;
const report = {
type: 'ValidationReport',
schema_version: SCHEMA_VERSION,
id: 'vr_' + Date.now(),
gene_id: geneId || null,
env_fingerprint: env,
env_fingerprint_key: envFingerprintKey(env),
commands: cmdsList.map(function (cmd, i) {
const r = resultsList[i] || {};
return {
command: String(cmd || ''),
ok: !!r.ok,
stdout: String(r.out || r.stdout || '').slice(0, 4000), // Updated to support both 'out' and 'stdout'
stderr: String(r.err || r.stderr || '').slice(0, 4000), // Updated to support both 'err' and 'stderr'
};
}),
overall_ok: overallOk,
duration_ms: durationMs,
created_at: new Date().toISOString(),
};
report.asset_id = computeAssetId(report);
return report;
}
// Validate that an object is a well-formed ValidationReport.
function isValidValidationReport(obj) {
if (!obj || typeof obj !== 'object') return false;
if (obj.type !== 'ValidationReport') return false;
if (!obj.id || typeof obj.id !== 'string') return false;
if (!Array.isArray(obj.commands)) return false;
if (typeof obj.overall_ok !== 'boolean') return false;
return true;
}
module.exports = {
buildValidationReport,
isValidValidationReport,
};