let wasm; function addHeapObject(obj) { if (heap_next === heap.length) heap.push(heap.length + 1); const idx = heap_next; heap_next = heap[idx]; heap[idx] = obj; return idx; } function debugString(val) { // primitive types const type = typeof val; if (type == 'number' || type == 'boolean' || val == null) { return `${val}`; } if (type == 'string') { return `"${val}"`; } if (type == 'symbol') { const description = val.description; if (description == null) { return 'Symbol'; } else { return `Symbol(${description})`; } } if (type == 'function') { const name = val.name; if (typeof name == 'string' && name.length > 0) { return `Function(${name})`; } else { return 'Function'; } } // objects if (Array.isArray(val)) { const length = val.length; let debug = '['; if (length > 0) { debug += debugString(val[0]); } for(let i = 1; i < length; i++) { debug += ', ' + debugString(val[i]); } debug += ']'; return debug; } // Test for built-in const builtInMatches = /\[object ([^\]]+)\]/.exec(toString.call(val)); let className; if (builtInMatches && builtInMatches.length > 1) { className = builtInMatches[1]; } else { // Failed to match the standard '[object ClassName]' return toString.call(val); } if (className == 'Object') { // we're a user defined class or Object // JSON.stringify avoids problems with cycles, and is generally much // easier than looping through ownProperties of `val`. try { return 'Object(' + JSON.stringify(val) + ')'; } catch (_) { return 'Object'; } } // errors if (val instanceof Error) { return `${val.name}: ${val.message}\n${val.stack}`; } // TODO we could test for more things here, like `Set`s and `Map`s. return className; } function dropObject(idx) { if (idx < 132) return; heap[idx] = heap_next; heap_next = idx; } function getArrayF32FromWasm0(ptr, len) { ptr = ptr >>> 0; return getFloat32ArrayMemory0().subarray(ptr / 4, ptr / 4 + len); } let cachedDataViewMemory0 = null; function getDataViewMemory0() { if (cachedDataViewMemory0 === null || cachedDataViewMemory0.buffer.detached === true || (cachedDataViewMemory0.buffer.detached === undefined && cachedDataViewMemory0.buffer !== wasm.memory.buffer)) { cachedDataViewMemory0 = new DataView(wasm.memory.buffer); } return cachedDataViewMemory0; } let cachedFloat32ArrayMemory0 = null; function getFloat32ArrayMemory0() { if (cachedFloat32ArrayMemory0 === null || cachedFloat32ArrayMemory0.byteLength === 0) { cachedFloat32ArrayMemory0 = new Float32Array(wasm.memory.buffer); } return cachedFloat32ArrayMemory0; } function getStringFromWasm0(ptr, len) { ptr = ptr >>> 0; return decodeText(ptr, len); } let cachedUint8ArrayMemory0 = null; function getUint8ArrayMemory0() { if (cachedUint8ArrayMemory0 === null || cachedUint8ArrayMemory0.byteLength === 0) { cachedUint8ArrayMemory0 = new Uint8Array(wasm.memory.buffer); } return cachedUint8ArrayMemory0; } function getObject(idx) { return heap[idx]; } function handleError(f, args) { try { return f.apply(this, args); } catch (e) { wasm.__wbindgen_export3(addHeapObject(e)); } } let heap = new Array(128).fill(undefined); heap.push(undefined, null, true, false); let heap_next = heap.length; function isLikeNone(x) { return x === undefined || x === null; } function passArrayF32ToWasm0(arg, malloc) { const ptr = malloc(arg.length * 4, 4) >>> 0; getFloat32ArrayMemory0().set(arg, ptr / 4); WASM_VECTOR_LEN = arg.length; return ptr; } function passStringToWasm0(arg, malloc, realloc) { if (realloc === undefined) { const buf = cachedTextEncoder.encode(arg); const ptr = malloc(buf.length, 1) >>> 0; getUint8ArrayMemory0().subarray(ptr, ptr + buf.length).set(buf); WASM_VECTOR_LEN = buf.length; return ptr; } let len = arg.length; let ptr = malloc(len, 1) >>> 0; const mem = getUint8ArrayMemory0(); let offset = 0; for (; offset < len; offset++) { const code = arg.charCodeAt(offset); if (code > 0x7F) break; mem[ptr + offset] = code; } if (offset !== len) { if (offset !== 0) { arg = arg.slice(offset); } ptr = realloc(ptr, len, len = offset + arg.length * 3, 1) >>> 0; const view = getUint8ArrayMemory0().subarray(ptr + offset, ptr + len); const ret = cachedTextEncoder.encodeInto(arg, view); offset += ret.written; ptr = realloc(ptr, len, offset, 1) >>> 0; } WASM_VECTOR_LEN = offset; return ptr; } function takeObject(idx) { const ret = getObject(idx); dropObject(idx); return ret; } let cachedTextDecoder = new TextDecoder('utf-8', { ignoreBOM: true, fatal: true }); cachedTextDecoder.decode(); const MAX_SAFARI_DECODE_BYTES = 2146435072; let numBytesDecoded = 0; function decodeText(ptr, len) { numBytesDecoded += len; if (numBytesDecoded >= MAX_SAFARI_DECODE_BYTES) { cachedTextDecoder = new TextDecoder('utf-8', { ignoreBOM: true, fatal: true }); cachedTextDecoder.decode(); numBytesDecoded = len; } return cachedTextDecoder.decode(getUint8ArrayMemory0().subarray(ptr, ptr + len)); } const cachedTextEncoder = new TextEncoder(); if (!('encodeInto' in cachedTextEncoder)) { cachedTextEncoder.encodeInto = function (arg, view) { const buf = cachedTextEncoder.encode(arg); view.set(buf); return { read: arg.length, written: buf.length }; } } let WASM_VECTOR_LEN = 0; const WasmEphemeralAgentFinalization = (typeof FinalizationRegistry === 'undefined') ? { register: () => {}, unregister: () => {} } : new FinalizationRegistry(ptr => wasm.__wbg_wasmephemeralagent_free(ptr >>> 0, 1)); const WasmFederatedCoordinatorFinalization = (typeof FinalizationRegistry === 'undefined') ? { register: () => {}, unregister: () => {} } : new FinalizationRegistry(ptr => wasm.__wbg_wasmfederatedcoordinator_free(ptr >>> 0, 1)); const WasmSonaEngineFinalization = (typeof FinalizationRegistry === 'undefined') ? { register: () => {}, unregister: () => {} } : new FinalizationRegistry(ptr => wasm.__wbg_wasmsonaengine_free(ptr >>> 0, 1)); /** * WASM-compatible Ephemeral Agent for federated learning * * Lightweight agent wrapper (~5MB footprint) for distributed training. * Agents process tasks, collect trajectories, and export state for aggregation. * * # Example * ```javascript * const agent = new WasmEphemeralAgent("agent-1"); * * // Process tasks * const embedding = new Float32Array(256).fill(0.1); * agent.process_task(embedding, 0.85); * * // Export state for coordinator * const state = agent.export_state(); * ``` */ export class WasmEphemeralAgent { static __wrap(ptr) { ptr = ptr >>> 0; const obj = Object.create(WasmEphemeralAgent.prototype); obj.__wbg_ptr = ptr; WasmEphemeralAgentFinalization.register(obj, obj.__wbg_ptr, obj); return obj; } __destroy_into_raw() { const ptr = this.__wbg_ptr; this.__wbg_ptr = 0; WasmEphemeralAgentFinalization.unregister(this); return ptr; } free() { const ptr = this.__destroy_into_raw(); wasm.__wbg_wasmephemeralagent_free(ptr, 0); } /** * Force learning cycle on agent's engine * @returns {string} */ forceLearn() { let deferred1_0; let deferred1_1; try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); wasm.wasmephemeralagent_forceLearn(retptr, this.__wbg_ptr); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); deferred1_0 = r0; deferred1_1 = r1; return getStringFromWasm0(r0, r1); } finally { wasm.__wbindgen_add_to_stack_pointer(16); wasm.__wbindgen_export4(deferred1_0, deferred1_1, 1); } } /** * Create agent with custom configuration * * # Arguments * * `agent_id` - Unique identifier * * `config` - JSON configuration object * * # Example * ```javascript * const config = { * hidden_dim: 256, * trajectory_capacity: 500, * pattern_clusters: 25 * }; * const agent = WasmEphemeralAgent.with_config("agent-1", config); * ``` * @param {string} agent_id * @param {any} config * @returns {WasmEphemeralAgent} */ static withConfig(agent_id, config) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); const ptr0 = passStringToWasm0(agent_id, wasm.__wbindgen_export, wasm.__wbindgen_export2); const len0 = WASM_VECTOR_LEN; wasm.wasmephemeralagent_withConfig(retptr, ptr0, len0, addHeapObject(config)); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true); if (r2) { throw takeObject(r1); } return WasmEphemeralAgent.__wrap(r0); } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Export agent state for coordinator aggregation * * # Returns * JSON object containing agent state, trajectories, and statistics * * # Example * ```javascript * const state = agent.export_state(); * console.log('Trajectories:', state.trajectories.length); * coordinator.aggregate(state); * ``` * @returns {any} */ exportState() { const ret = wasm.wasmephemeralagent_exportState(this.__wbg_ptr); return takeObject(ret); } /** * Get learned patterns from agent * @returns {any} */ getPatterns() { const ret = wasm.wasmephemeralagent_getPatterns(this.__wbg_ptr); return takeObject(ret); } /** * Process a task and record trajectory * * # Arguments * * `embedding` - Query embedding as Float32Array * * `quality` - Task quality score [0.0, 1.0] * * # Example * ```javascript * const embedding = new Float32Array(256).fill(0.1); * agent.process_task(embedding, 0.85); * ``` * @param {Float32Array} embedding * @param {number} quality */ processTask(embedding, quality) { const ptr0 = passArrayF32ToWasm0(embedding, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; wasm.wasmephemeralagent_processTask(this.__wbg_ptr, ptr0, len0, quality); } /** * Get agent uptime in seconds * @returns {bigint} */ uptimeSeconds() { const ret = wasm.wasmephemeralagent_uptimeSeconds(this.__wbg_ptr); return BigInt.asUintN(64, ret); } /** * Get average quality of collected trajectories * @returns {number} */ averageQuality() { const ret = wasm.wasmephemeralagent_averageQuality(this.__wbg_ptr); return ret; } /** * Get number of collected trajectories * @returns {number} */ trajectoryCount() { const ret = wasm.wasmephemeralagent_trajectoryCount(this.__wbg_ptr); return ret >>> 0; } /** * Process task with model route information * * # Arguments * * `embedding` - Query embedding * * `quality` - Quality score * * `route` - Model route used (e.g., "gpt-4", "claude-3") * @param {Float32Array} embedding * @param {number} quality * @param {string} route */ processTaskWithRoute(embedding, quality, route) { const ptr0 = passArrayF32ToWasm0(embedding, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; const ptr1 = passStringToWasm0(route, wasm.__wbindgen_export, wasm.__wbindgen_export2); const len1 = WASM_VECTOR_LEN; wasm.wasmephemeralagent_processTaskWithRoute(this.__wbg_ptr, ptr0, len0, quality, ptr1, len1); } /** * Create a new ephemeral agent with default config * * # Arguments * * `agent_id` - Unique identifier for this agent * * # Example * ```javascript * const agent = new WasmEphemeralAgent("agent-1"); * ``` * @param {string} agent_id */ constructor(agent_id) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); const ptr0 = passStringToWasm0(agent_id, wasm.__wbindgen_export, wasm.__wbindgen_export2); const len0 = WASM_VECTOR_LEN; wasm.wasmephemeralagent_new(retptr, ptr0, len0); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true); if (r2) { throw takeObject(r1); } this.__wbg_ptr = r0 >>> 0; WasmEphemeralAgentFinalization.register(this, this.__wbg_ptr, this); return this; } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Clear collected trajectories (after export) */ clear() { wasm.wasmephemeralagent_clear(this.__wbg_ptr); } /** * Get agent statistics * * # Returns * JSON object with trajectory count, quality stats, uptime * @returns {any} */ getStats() { const ret = wasm.wasmephemeralagent_getStats(this.__wbg_ptr); return takeObject(ret); } } if (Symbol.dispose) WasmEphemeralAgent.prototype[Symbol.dispose] = WasmEphemeralAgent.prototype.free; /** * WASM-compatible Federated Coordinator * * Central aggregator for federated learning with quality filtering. * Coordinates multiple ephemeral agents using star topology. * * # Example * ```javascript * const coordinator = new WasmFederatedCoordinator("central"); * * // Aggregate agent exports * const agentState = agent.export_state(); * const result = coordinator.aggregate(agentState); * * // Check stats * const stats = coordinator.get_stats(); * console.log('Total agents:', stats.total_agents); * ``` */ export class WasmFederatedCoordinator { static __wrap(ptr) { ptr = ptr >>> 0; const obj = Object.create(WasmFederatedCoordinator.prototype); obj.__wbg_ptr = ptr; WasmFederatedCoordinatorFinalization.register(obj, obj.__wbg_ptr, obj); return obj; } __destroy_into_raw() { const ptr = this.__wbg_ptr; this.__wbg_ptr = 0; WasmFederatedCoordinatorFinalization.unregister(this); return ptr; } free() { const ptr = this.__destroy_into_raw(); wasm.__wbg_wasmfederatedcoordinator_free(ptr, 0); } /** * Apply coordinator's learned LoRA to input * @param {Float32Array} input * @returns {Float32Array} */ applyLora(input) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); const ptr0 = passArrayF32ToWasm0(input, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; wasm.wasmfederatedcoordinator_applyLora(retptr, this.__wbg_ptr, ptr0, len0); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var v2 = getArrayF32FromWasm0(r0, r1).slice(); wasm.__wbindgen_export4(r0, r1 * 4, 4); return v2; } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Get total number of contributing agents * @returns {number} */ agentCount() { const ret = wasm.wasmfederatedcoordinator_agentCount(this.__wbg_ptr); return ret >>> 0; } /** * Consolidate learning from all aggregated trajectories * * Should be called periodically after aggregating multiple agents. * * # Returns * Learning result as JSON string * @returns {string} */ consolidate() { let deferred1_0; let deferred1_1; try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); wasm.wasmfederatedcoordinator_consolidate(retptr, this.__wbg_ptr); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); deferred1_0 = r0; deferred1_1 = r1; return getStringFromWasm0(r0, r1); } finally { wasm.__wbindgen_add_to_stack_pointer(16); wasm.__wbindgen_export4(deferred1_0, deferred1_1, 1); } } /** * Create coordinator with custom configuration * * # Arguments * * `coordinator_id` - Unique identifier * * `config` - JSON configuration object * * # Example * ```javascript * const config = { * hidden_dim: 256, * trajectory_capacity: 50000, * pattern_clusters: 200, * ewc_lambda: 2000.0 * }; * const coordinator = WasmFederatedCoordinator.with_config("central", config); * ``` * @param {string} coordinator_id * @param {any} config * @returns {WasmFederatedCoordinator} */ static withConfig(coordinator_id, config) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); const ptr0 = passStringToWasm0(coordinator_id, wasm.__wbindgen_export, wasm.__wbindgen_export2); const len0 = WASM_VECTOR_LEN; wasm.wasmfederatedcoordinator_withConfig(retptr, ptr0, len0, addHeapObject(config)); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true); if (r2) { throw takeObject(r1); } return WasmFederatedCoordinator.__wrap(r0); } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Get all learned patterns from coordinator * @returns {any} */ getPatterns() { const ret = wasm.wasmfederatedcoordinator_getPatterns(this.__wbg_ptr); return takeObject(ret); } /** * Find similar patterns to query * * # Arguments * * `query_embedding` - Query vector * * `k` - Number of patterns to return * @param {Float32Array} query_embedding * @param {number} k * @returns {any} */ findPatterns(query_embedding, k) { const ptr0 = passArrayF32ToWasm0(query_embedding, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; const ret = wasm.wasmfederatedcoordinator_findPatterns(this.__wbg_ptr, ptr0, len0, k); return takeObject(ret); } /** * Get total trajectories aggregated * @returns {number} */ totalTrajectories() { const ret = wasm.wasmfederatedcoordinator_totalTrajectories(this.__wbg_ptr); return ret >>> 0; } /** * Set quality threshold for accepting trajectories * * # Arguments * * `threshold` - Minimum quality [0.0, 1.0], default 0.4 * @param {number} threshold */ setQualityThreshold(threshold) { wasm.wasmfederatedcoordinator_setQualityThreshold(this.__wbg_ptr, threshold); } /** * Create a new federated coordinator with default config * * # Arguments * * `coordinator_id` - Unique identifier for this coordinator * * # Example * ```javascript * const coordinator = new WasmFederatedCoordinator("central"); * ``` * @param {string} coordinator_id */ constructor(coordinator_id) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); const ptr0 = passStringToWasm0(coordinator_id, wasm.__wbindgen_export, wasm.__wbindgen_export2); const len0 = WASM_VECTOR_LEN; wasm.wasmfederatedcoordinator_new(retptr, ptr0, len0); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true); if (r2) { throw takeObject(r1); } this.__wbg_ptr = r0 >>> 0; WasmFederatedCoordinatorFinalization.register(this, this.__wbg_ptr, this); return this; } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Clear all agent contributions (reset coordinator) */ clear() { wasm.wasmfederatedcoordinator_clear(this.__wbg_ptr); } /** * Aggregate agent export into coordinator * * # Arguments * * `agent_export` - JSON export from agent.export_state() * * # Returns * JSON aggregation result with accepted/rejected counts * * # Example * ```javascript * const agentState = agent.export_state(); * const result = coordinator.aggregate(agentState); * console.log('Accepted:', result.accepted); * ``` * @param {any} agent_export * @returns {any} */ aggregate(agent_export) { const ret = wasm.wasmfederatedcoordinator_aggregate(this.__wbg_ptr, addHeapObject(agent_export)); return takeObject(ret); } /** * Get coordinator statistics * * # Returns * JSON object with agent count, trajectory count, quality stats * @returns {any} */ getStats() { const ret = wasm.wasmfederatedcoordinator_getStats(this.__wbg_ptr); return takeObject(ret); } } if (Symbol.dispose) WasmFederatedCoordinator.prototype[Symbol.dispose] = WasmFederatedCoordinator.prototype.free; /** * WASM-compatible SONA Engine wrapper * * Provides JavaScript bindings for the SONA adaptive learning system. */ export class WasmSonaEngine { static __wrap(ptr) { ptr = ptr >>> 0; const obj = Object.create(WasmSonaEngine.prototype); obj.__wbg_ptr = ptr; WasmSonaEngineFinalization.register(obj, obj.__wbg_ptr, obj); return obj; } __destroy_into_raw() { const ptr = this.__wbg_ptr; this.__wbg_ptr = 0; WasmSonaEngineFinalization.unregister(this); return ptr; } free() { const ptr = this.__destroy_into_raw(); wasm.__wbg_wasmsonaengine_free(ptr, 0); } /** * Apply LoRA transformation to input vector * * # Arguments * * `input` - Input vector as Float32Array * * # Returns * Transformed vector as Float32Array * * # Example * ```javascript * const input = new Float32Array(256).fill(1.0); * const output = engine.apply_lora(input); * ``` * @param {Float32Array} input * @returns {Float32Array} */ applyLora(input) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); const ptr0 = passArrayF32ToWasm0(input, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; wasm.wasmsonaengine_applyLora(retptr, this.__wbg_ptr, ptr0, len0); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var v2 = getArrayF32FromWasm0(r0, r1).slice(); wasm.__wbindgen_export4(r0, r1 * 4, 4); return v2; } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Get configuration * * # Returns * Configuration as JSON object * @returns {any} */ getConfig() { const ret = wasm.wasmsonaengine_getConfig(this.__wbg_ptr); return takeObject(ret); } /** * Check if engine is enabled * * # Returns * true if enabled, false otherwise * @returns {boolean} */ isEnabled() { const ret = wasm.wasmsonaengine_isEnabled(this.__wbg_ptr); return ret !== 0; } /** * Force background learning cycle * * # Returns * Learning statistics as JSON string * * # Example * ```javascript * const stats = engine.force_learn(); * console.log('Learning results:', stats); * ``` * @returns {string} */ forceLearn() { let deferred1_0; let deferred1_1; try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); wasm.wasmsonaengine_forceLearn(retptr, this.__wbg_ptr); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); deferred1_0 = r0; deferred1_1 = r1; return getStringFromWasm0(r0, r1); } finally { wasm.__wbindgen_add_to_stack_pointer(16); wasm.__wbindgen_export4(deferred1_0, deferred1_1, 1); } } /** * Record a step in the trajectory * * # Arguments * * `trajectory_id` - ID returned from start_trajectory * * `node_id` - Graph node visited * * `score` - Step quality score [0.0, 1.0] * * `latency_us` - Step latency in microseconds * * # Example * ```javascript * engine.record_step(trajectoryId, 42, 0.8, 1000); * ``` * @param {bigint} trajectory_id * @param {number} node_id * @param {number} score * @param {bigint} latency_us */ recordStep(trajectory_id, node_id, score, latency_us) { wasm.wasmsonaengine_recordStep(this.__wbg_ptr, trajectory_id, node_id, score, latency_us); } /** * Enable or disable the engine * * # Arguments * * `enabled` - Whether to enable the engine * * # Example * ```javascript * engine.set_enabled(false); // Pause learning * ``` * @param {boolean} enabled */ setEnabled(enabled) { wasm.wasmsonaengine_setEnabled(this.__wbg_ptr, enabled); } /** * Create engine with custom configuration * * # Arguments * * `config` - JSON configuration object * * # Example * ```javascript * const config = { * hidden_dim: 256, * embedding_dim: 256, * micro_lora_rank: 2, * base_lora_rank: 16, * micro_lora_lr: 0.001, * base_lora_lr: 0.0001, * ewc_lambda: 1000.0, * pattern_clusters: 128, * trajectory_capacity: 10000, * quality_threshold: 0.6 * }; * const engine = WasmSonaEngine.with_config(config); * ``` * @param {any} config * @returns {WasmSonaEngine} */ static withConfig(config) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); wasm.wasmsonaengine_withConfig(retptr, addHeapObject(config)); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true); if (r2) { throw takeObject(r1); } return WasmSonaEngine.__wrap(r0); } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Find similar patterns to query * * # Arguments * * `query_embedding` - Query vector as Float32Array * * `k` - Number of patterns to return * * # Returns * Array of similar patterns as JSON * * # Example * ```javascript * const query = new Float32Array(256).fill(0.5); * const patterns = engine.find_patterns(query, 5); * console.log('Similar patterns:', patterns); * ``` * @param {Float32Array} query_embedding * @param {number} k * @returns {any} */ findPatterns(query_embedding, k) { const ptr0 = passArrayF32ToWasm0(query_embedding, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; const ret = wasm.wasmsonaengine_findPatterns(this.__wbg_ptr, ptr0, len0, k); return takeObject(ret); } /** * End the trajectory and submit for learning * * # Arguments * * `trajectory_id` - ID returned from start_trajectory * * `final_score` - Overall trajectory quality [0.0, 1.0] * * # Example * ```javascript * engine.end_trajectory(trajectoryId, 0.85); * ``` * @param {bigint} trajectory_id * @param {number} final_score */ endTrajectory(trajectory_id, final_score) { wasm.wasmsonaengine_endTrajectory(this.__wbg_ptr, trajectory_id, final_score); } /** * Apply LoRA transformation to specific layer * * # Arguments * * `layer_idx` - Layer index * * `input` - Input vector as Float32Array * * # Returns * Transformed vector as Float32Array * @param {number} layer_idx * @param {Float32Array} input * @returns {Float32Array} */ applyLoraLayer(layer_idx, input) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); const ptr0 = passArrayF32ToWasm0(input, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; wasm.wasmsonaengine_applyLoraLayer(retptr, this.__wbg_ptr, layer_idx, ptr0, len0); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var v2 = getArrayF32FromWasm0(r0, r1).slice(); wasm.__wbindgen_export4(r0, r1 * 4, 4); return v2; } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Start recording a new trajectory * * # Arguments * * `query_embedding` - Query vector as Float32Array * * # Returns * Trajectory ID (u64) * * # Example * ```javascript * const embedding = new Float32Array(256).fill(0.1); * const trajectoryId = engine.start_trajectory(embedding); * ``` * @param {Float32Array} query_embedding * @returns {bigint} */ startTrajectory(query_embedding) { const ptr0 = passArrayF32ToWasm0(query_embedding, wasm.__wbindgen_export); const len0 = WASM_VECTOR_LEN; const ret = wasm.wasmsonaengine_startTrajectory(this.__wbg_ptr, ptr0, len0); return BigInt.asUintN(64, ret); } /** * Run instant learning cycle * * Flushes accumulated micro-LoRA updates * * # Example * ```javascript * engine.run_instant_cycle(); * ``` */ runInstantCycle() { wasm.wasmsonaengine_runInstantCycle(this.__wbg_ptr); } /** * Apply learning from user feedback * * # Arguments * * `success` - Whether the operation succeeded * * `latency_ms` - Operation latency in milliseconds * * `quality` - User-perceived quality [0.0, 1.0] * * # Example * ```javascript * engine.learn_from_feedback(true, 50.0, 0.9); * ``` * @param {boolean} success * @param {number} latency_ms * @param {number} quality */ learnFromFeedback(success, latency_ms, quality) { wasm.wasmsonaengine_learnFromFeedback(this.__wbg_ptr, success, latency_ms, quality); } /** * Create a new SONA engine with specified hidden dimension * * # Arguments * * `hidden_dim` - Size of hidden layer (typically 256, 512, or 1024) * * # Example * ```javascript * const engine = new WasmSonaEngine(256); * ``` * @param {number} hidden_dim */ constructor(hidden_dim) { try { const retptr = wasm.__wbindgen_add_to_stack_pointer(-16); wasm.wasmsonaengine_new(retptr, hidden_dim); var r0 = getDataViewMemory0().getInt32(retptr + 4 * 0, true); var r1 = getDataViewMemory0().getInt32(retptr + 4 * 1, true); var r2 = getDataViewMemory0().getInt32(retptr + 4 * 2, true); if (r2) { throw takeObject(r1); } this.__wbg_ptr = r0 >>> 0; WasmSonaEngineFinalization.register(this, this.__wbg_ptr, this); return this; } finally { wasm.__wbindgen_add_to_stack_pointer(16); } } /** * Try to run background learning cycle * * Returns true if cycle was executed, false if not due yet * * # Example * ```javascript * if (engine.tick()) { * console.log('Background learning completed'); * } * ``` * @returns {boolean} */ tick() { const ret = wasm.wasmsonaengine_tick(this.__wbg_ptr); return ret !== 0; } /** * Get engine statistics * * # Returns * Statistics as JSON object * * # Example * ```javascript * const stats = engine.get_stats(); * console.log('Trajectories buffered:', stats.trajectories_buffered); * console.log('Patterns learned:', stats.patterns_learned); * ``` * @returns {any} */ getStats() { const ret = wasm.wasmsonaengine_getStats(this.__wbg_ptr); return takeObject(ret); } } if (Symbol.dispose) WasmSonaEngine.prototype[Symbol.dispose] = WasmSonaEngine.prototype.free; /** * Initialize WASM module (called automatically) */ export function wasm_init() { wasm.wasm_init(); } const EXPECTED_RESPONSE_TYPES = new Set(['basic', 'cors', 'default']); async function __wbg_load(module, imports) { if (typeof Response === 'function' && module instanceof Response) { if (typeof WebAssembly.instantiateStreaming === 'function') { try { return await WebAssembly.instantiateStreaming(module, imports); } catch (e) { const validResponse = module.ok && EXPECTED_RESPONSE_TYPES.has(module.type); if (validResponse && module.headers.get('Content-Type') !== 'application/wasm') { console.warn("`WebAssembly.instantiateStreaming` failed because your server does not serve Wasm with `application/wasm` MIME type. Falling back to `WebAssembly.instantiate` which is slower. Original error:\n", e); } else { throw e; } } } const bytes = await module.arrayBuffer(); return await WebAssembly.instantiate(bytes, imports); } else { const instance = await WebAssembly.instantiate(module, imports); if (instance instanceof WebAssembly.Instance) { return { instance, module }; } else { return instance; } } } function __wbg_get_imports() { const imports = {}; imports.wbg = {}; imports.wbg.__wbg___wbindgen_debug_string_adfb662ae34724b6 = function(arg0, arg1) { const ret = debugString(getObject(arg1)); const ptr1 = passStringToWasm0(ret, wasm.__wbindgen_export, wasm.__wbindgen_export2); const len1 = WASM_VECTOR_LEN; getDataViewMemory0().setInt32(arg0 + 4 * 1, len1, true); getDataViewMemory0().setInt32(arg0 + 4 * 0, ptr1, true); }; imports.wbg.__wbg___wbindgen_is_undefined_f6b95eab589e0269 = function(arg0) { const ret = getObject(arg0) === undefined; return ret; }; imports.wbg.__wbg___wbindgen_string_get_a2a31e16edf96e42 = function(arg0, arg1) { const obj = getObject(arg1); const ret = typeof(obj) === 'string' ? obj : undefined; var ptr1 = isLikeNone(ret) ? 0 : passStringToWasm0(ret, wasm.__wbindgen_export, wasm.__wbindgen_export2); var len1 = WASM_VECTOR_LEN; getDataViewMemory0().setInt32(arg0 + 4 * 1, len1, true); getDataViewMemory0().setInt32(arg0 + 4 * 0, ptr1, true); }; imports.wbg.__wbg___wbindgen_throw_dd24417ed36fc46e = function(arg0, arg1) { throw new Error(getStringFromWasm0(arg0, arg1)); }; imports.wbg.__wbg_call_abb4ff46ce38be40 = function() { return handleError(function (arg0, arg1) { const ret = getObject(arg0).call(getObject(arg1)); return addHeapObject(ret); }, arguments) }; imports.wbg.__wbg_error_7534b8e9a36f1ab4 = function(arg0, arg1) { let deferred0_0; let deferred0_1; try { deferred0_0 = arg0; deferred0_1 = arg1; console.error(getStringFromWasm0(arg0, arg1)); } finally { wasm.__wbindgen_export4(deferred0_0, deferred0_1, 1); } }; imports.wbg.__wbg_error_7bc7d576a6aaf855 = function(arg0) { console.error(getObject(arg0)); }; imports.wbg.__wbg_get_af9dab7e9603ea93 = function() { return handleError(function (arg0, arg1) { const ret = Reflect.get(getObject(arg0), getObject(arg1)); return addHeapObject(ret); }, arguments) }; imports.wbg.__wbg_instanceof_Performance_da835352e1f7d1fd = function(arg0) { let result; try { result = getObject(arg0) instanceof Performance; } catch (_) { result = false; } const ret = result; return ret; }; imports.wbg.__wbg_log_1d990106d99dacb7 = function(arg0) { console.log(getObject(arg0)); }; imports.wbg.__wbg_new_8a6f238a6ece86ea = function() { const ret = new Error(); return addHeapObject(ret); }; imports.wbg.__wbg_new_no_args_cb138f77cf6151ee = function(arg0, arg1) { const ret = new Function(getStringFromWasm0(arg0, arg1)); return addHeapObject(ret); }; imports.wbg.__wbg_now_69d776cd24f5215b = function() { const ret = Date.now(); return ret; }; imports.wbg.__wbg_now_8cf15d6e317793e1 = function(arg0) { const ret = getObject(arg0).now(); return ret; }; imports.wbg.__wbg_stack_0ed75d68575b0f3c = function(arg0, arg1) { const ret = getObject(arg1).stack; const ptr1 = passStringToWasm0(ret, wasm.__wbindgen_export, wasm.__wbindgen_export2); const len1 = WASM_VECTOR_LEN; getDataViewMemory0().setInt32(arg0 + 4 * 1, len1, true); getDataViewMemory0().setInt32(arg0 + 4 * 0, ptr1, true); }; imports.wbg.__wbg_static_accessor_GLOBAL_769e6b65d6557335 = function() { const ret = typeof global === 'undefined' ? null : global; return isLikeNone(ret) ? 0 : addHeapObject(ret); }; imports.wbg.__wbg_static_accessor_GLOBAL_THIS_60cf02db4de8e1c1 = function() { const ret = typeof globalThis === 'undefined' ? null : globalThis; return isLikeNone(ret) ? 0 : addHeapObject(ret); }; imports.wbg.__wbg_static_accessor_SELF_08f5a74c69739274 = function() { const ret = typeof self === 'undefined' ? null : self; return isLikeNone(ret) ? 0 : addHeapObject(ret); }; imports.wbg.__wbg_static_accessor_WINDOW_a8924b26aa92d024 = function() { const ret = typeof window === 'undefined' ? null : window; return isLikeNone(ret) ? 0 : addHeapObject(ret); }; imports.wbg.__wbindgen_cast_2241b6af4c4b2941 = function(arg0, arg1) { // Cast intrinsic for `Ref(String) -> Externref`. const ret = getStringFromWasm0(arg0, arg1); return addHeapObject(ret); }; imports.wbg.__wbindgen_object_clone_ref = function(arg0) { const ret = getObject(arg0); return addHeapObject(ret); }; imports.wbg.__wbindgen_object_drop_ref = function(arg0) { takeObject(arg0); }; return imports; } function __wbg_finalize_init(instance, module) { wasm = instance.exports; __wbg_init.__wbindgen_wasm_module = module; cachedDataViewMemory0 = null; cachedFloat32ArrayMemory0 = null; cachedUint8ArrayMemory0 = null; wasm.__wbindgen_start(); return wasm; } function initSync(module) { if (wasm !== undefined) return wasm; if (typeof module !== 'undefined') { if (Object.getPrototypeOf(module) === Object.prototype) { ({module} = module) } else { console.warn('using deprecated parameters for `initSync()`; pass a single object instead') } } const imports = __wbg_get_imports(); if (!(module instanceof WebAssembly.Module)) { module = new WebAssembly.Module(module); } const instance = new WebAssembly.Instance(module, imports); return __wbg_finalize_init(instance, module); } async function __wbg_init(module_or_path) { if (wasm !== undefined) return wasm; if (typeof module_or_path !== 'undefined') { if (Object.getPrototypeOf(module_or_path) === Object.prototype) { ({module_or_path} = module_or_path) } else { console.warn('using deprecated parameters for the initialization function; pass a single object instead') } } if (typeof module_or_path === 'undefined') { module_or_path = new URL('ruvector_sona_bg.wasm', import.meta.url); } const imports = __wbg_get_imports(); if (typeof module_or_path === 'string' || (typeof Request === 'function' && module_or_path instanceof Request) || (typeof URL === 'function' && module_or_path instanceof URL)) { module_or_path = fetch(module_or_path); } const { instance, module } = await __wbg_load(await module_or_path, imports); return __wbg_finalize_init(instance, module); } export { initSync }; export default __wbg_init;