425 lines
16 KiB
JavaScript
425 lines
16 KiB
JavaScript
/**
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* Intelligence MCP Tools - Expose RuVector Intelligence via MCP
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*
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* These tools provide direct access to the full RuVector ecosystem:
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* - @ruvector/sona: Micro-LoRA (~0.05ms), EWC++, Trajectory tracking
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* - @ruvector/attention: MoE, Flash, Hyperbolic, Graph attention
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* - ruvector core: HNSW indexing (150x faster than brute force)
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*
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* Available both as MCP tools AND CLI hooks.
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*/
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import { z } from 'zod';
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import { getIntelligence, routeTaskIntelligent, beginTaskTrajectory, recordTrajectoryStep, endTaskTrajectory, storePattern, findSimilarPatterns, getIntelligenceStats, forceLearningCycle, computeAttentionSimilarity, } from './intelligence-bridge.js';
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/**
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* Intelligence Route Tool
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* Route tasks using SONA Micro-LoRA + MoE Attention + HNSW indexing
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*/
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export const intelligenceRouteTool = {
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name: 'intelligence_route',
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description: 'Route task using RuVector intelligence: SONA Micro-LoRA (~0.05ms) + MoE attention + HNSW (150x faster)',
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parameters: z.object({
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task: z.string().describe('Task description to route'),
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file: z.string().optional().describe('Optional file context'),
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errorContext: z.string().optional().describe('Optional error context for debugging tasks'),
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topK: z.number().optional().default(5).describe('Number of agent candidates to return'),
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}),
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execute: async ({ task, file, errorContext, topK }, { onProgress }) => {
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const startTime = Date.now();
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try {
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const result = await routeTaskIntelligent(task, {
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file,
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errorContext,
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});
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return {
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success: true,
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agent: result.agent,
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confidence: result.confidence,
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alternatives: result.routingResults.slice(1, topK).map(r => ({
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agent: r.agentId,
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confidence: r.confidence,
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})),
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features: result.usedFeatures,
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latencyMs: result.latencyMs,
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engine: 'ruvector-sona-moe-hnsw',
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Trajectory Start Tool
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* Begin trajectory tracking for learning from task execution
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*/
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export const intelligenceTrajectoryStartTool = {
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name: 'intelligence_trajectory_start',
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description: 'Begin SONA trajectory for learning from task execution. Returns trajectoryId for tracking.',
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parameters: z.object({
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task: z.string().describe('Task description'),
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agent: z.string().describe('Agent executing the task'),
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context: z.string().optional().describe('Additional context'),
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}),
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execute: async ({ task, agent, context }, { onProgress }) => {
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const startTime = Date.now();
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try {
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const fullTask = context ? `${task} [context: ${context}]` : task;
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const result = await beginTaskTrajectory(fullTask, agent);
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if (!result.success) {
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return {
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success: false,
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error: result.error || 'Failed to start trajectory',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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return {
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success: true,
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trajectoryId: result.trajectoryId,
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message: `Trajectory ${result.trajectoryId} started for agent ${agent}`,
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trackingEnabled: true,
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features: ['micro-lora', 'ewc++', 'attention-patterns'],
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Trajectory Step Tool
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* Record intermediate steps during task execution
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*/
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export const intelligenceTrajectoryStepTool = {
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name: 'intelligence_trajectory_step',
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description: 'Record a step in the trajectory for reinforcement learning',
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parameters: z.object({
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trajectoryId: z.number().describe('Trajectory ID from trajectory_start'),
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action: z.string().describe('Action taken (e.g., "edit-file", "run-test")'),
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reward: z.number().min(-1).max(1).describe('Reward signal (-1 to 1)'),
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file: z.string().optional().describe('File involved'),
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errorFixed: z.boolean().optional().describe('Whether an error was fixed'),
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testPassed: z.boolean().optional().describe('Whether tests passed'),
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}),
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execute: async ({ trajectoryId, action, reward, file, errorFixed, testPassed }, { onProgress }) => {
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const startTime = Date.now();
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try {
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await recordTrajectoryStep(trajectoryId, action, reward, {
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file,
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errorFixed,
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testPassed,
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});
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return {
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success: true,
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trajectoryId,
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action,
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reward,
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message: `Step recorded: ${action} with reward ${reward}`,
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Trajectory End Tool
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* Complete trajectory and trigger learning with EWC++
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*/
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export const intelligenceTrajectoryEndTool = {
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name: 'intelligence_trajectory_end',
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description: 'End trajectory, trigger SONA learning with EWC++ (prevents catastrophic forgetting)',
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parameters: z.object({
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trajectoryId: z.number().describe('Trajectory ID from trajectory_start'),
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success: z.boolean().describe('Whether the task was successful'),
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quality: z.number().min(0).max(1).optional().default(0.8).describe('Quality score (0-1)'),
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}),
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execute: async ({ trajectoryId, success, quality }, { onProgress }) => {
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const startTime = Date.now();
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try {
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const outcome = await endTaskTrajectory(trajectoryId, success, quality);
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return {
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success: true,
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trajectoryId,
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taskSuccess: success,
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quality,
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learningOutcome: outcome,
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features: ['micro-lora-update', 'ewc++-consolidation', 'reasoning-bank-storage'],
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Pattern Store Tool
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* Store successful patterns in ReasoningBank for future retrieval
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*/
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export const intelligencePatternStoreTool = {
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name: 'intelligence_pattern_store',
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description: 'Store pattern in ReasoningBank (HNSW-indexed, ~0.1ms retrieval)',
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parameters: z.object({
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task: z.string().describe('Task description'),
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resolution: z.string().describe('How the task was resolved'),
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reward: z.number().min(0).max(1).describe('Success score (0-1)'),
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tags: z.array(z.string()).optional().describe('Optional tags for categorization'),
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}),
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execute: async ({ task, resolution, reward, tags }, { onProgress }) => {
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const startTime = Date.now();
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try {
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await storePattern(task, resolution, reward);
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return {
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success: true,
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message: `Pattern stored: "${task.slice(0, 50)}..."`,
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reward,
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indexed: true,
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retrieval: 'hnsw-150x-faster',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Pattern Search Tool
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* Find similar patterns using HNSW (150x faster than brute force)
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*/
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export const intelligencePatternSearchTool = {
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name: 'intelligence_pattern_search',
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description: 'Search ReasoningBank for similar patterns using HNSW (150x faster)',
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parameters: z.object({
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query: z.string().describe('Query to search for similar patterns'),
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topK: z.number().optional().default(5).describe('Number of results to return'),
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minReward: z.number().min(0).max(1).optional().describe('Minimum reward filter'),
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}),
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execute: async ({ query, topK, minReward }, { onProgress }) => {
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const startTime = Date.now();
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try {
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let patterns = await findSimilarPatterns(query, topK);
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// Filter by minimum reward if specified
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if (minReward !== undefined) {
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patterns = patterns.filter(p => p.reward >= minReward);
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}
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return {
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success: true,
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query: query.slice(0, 50),
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patterns,
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count: patterns.length,
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searchEngine: 'hnsw-150x-faster',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Intelligence Stats Tool
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* Get statistics about the intelligence layer
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*/
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export const intelligenceStatsTool = {
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name: 'intelligence_stats',
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description: 'Get RuVector intelligence layer statistics: SONA, HNSW, attention metrics',
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parameters: z.object({}),
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execute: async (_, { onProgress }) => {
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const startTime = Date.now();
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try {
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// Initialize intelligence FIRST, then get stats
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const intelligence = await getIntelligence();
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const fullStats = intelligence.getStats();
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const stats = await getIntelligenceStats();
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return {
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success: true,
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stats: {
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...stats,
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...fullStats,
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},
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features: {
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sona: {
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enabled: stats.features?.includes('sona') ?? false,
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microLora: 'rank-1 (~0.05ms)',
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baseLora: 'rank-8',
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ewcLambda: 1000.0,
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},
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attention: {
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type: 'moe',
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experts: 4,
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topK: 2,
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},
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hnsw: {
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enabled: stats.features?.includes('hnsw') ?? false,
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speedup: '150x vs brute-force',
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},
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},
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persistence: {
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enabled: true,
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backend: 'sqlite',
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trajectories: stats.persistedStats?.trajectories ?? 0,
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routings: stats.persistedStats?.routings ?? 0,
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patterns: stats.persistedStats?.patterns ?? 0,
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operations: stats.persistedStats?.operations ?? 0,
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},
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Force Learning Tool
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* Trigger an immediate learning cycle
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*/
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export const intelligenceLearnTool = {
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name: 'intelligence_learn',
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description: 'Force immediate SONA learning cycle with EWC++ consolidation',
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parameters: z.object({
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reason: z.string().optional().describe('Reason for forcing learning'),
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}),
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execute: async ({ reason }, { onProgress }) => {
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const startTime = Date.now();
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try {
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const result = await forceLearningCycle();
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return {
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success: true,
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message: 'Learning cycle completed',
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result,
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reason: reason || 'manual trigger',
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features: ['micro-lora-batch', 'ewc++-consolidation', 'pattern-distillation'],
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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/**
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* Attention Compute Tool
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* Compute attention-weighted similarity using MoE/Flash/Hyperbolic
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*/
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export const intelligenceAttentionTool = {
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name: 'intelligence_attention',
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description: 'Compute attention-weighted similarity using MoE/Flash/Hyperbolic attention',
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parameters: z.object({
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query: z.string().describe('Query text'),
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candidates: z.array(z.string()).describe('Candidate texts to score'),
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attentionType: z.enum(['moe', 'flash', 'hyperbolic', 'graph', 'dual']).optional().default('moe')
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.describe('Attention mechanism type'),
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}),
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execute: async ({ query, candidates, attentionType }, { onProgress }) => {
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const startTime = Date.now();
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try {
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// Simple embedding function
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const embed = (text) => {
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const arr = new Float32Array(64);
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const words = text.toLowerCase().split(/\s+/);
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for (const word of words) {
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for (let i = 0; i < word.length; i++) {
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const idx = (word.charCodeAt(i) * (i + 1)) % 64;
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arr[idx] += 1;
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}
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}
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// Normalize
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const mag = Math.sqrt(arr.reduce((sum, v) => sum + v * v, 0));
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if (mag > 0) {
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for (let i = 0; i < arr.length; i++)
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arr[i] /= mag;
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}
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return arr;
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};
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const queryEmbed = embed(query);
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const candidateEmbeds = candidates.map(c => embed(c));
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const scores = await computeAttentionSimilarity(queryEmbed, candidateEmbeds);
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const results = candidates.map((c, i) => ({
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text: c.slice(0, 50),
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score: scores[i] || 0,
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})).sort((a, b) => b.score - a.score);
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return {
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success: true,
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query: query.slice(0, 50),
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attentionType,
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results,
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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catch (error) {
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return {
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success: false,
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error: error instanceof Error ? error.message : 'Unknown error',
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latencyMs: Date.now() - startTime,
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timestamp: new Date().toISOString(),
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};
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}
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},
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};
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// Export all intelligence tools
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export const intelligenceTools = [
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intelligenceRouteTool,
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intelligenceTrajectoryStartTool,
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intelligenceTrajectoryStepTool,
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intelligenceTrajectoryEndTool,
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intelligencePatternStoreTool,
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intelligencePatternSearchTool,
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intelligenceStatsTool,
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intelligenceLearnTool,
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intelligenceAttentionTool,
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];
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//# sourceMappingURL=intelligence-tools.js.map
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