MCP Reasoner

import { v4 as uuidv4 } from 'uuid'; import { ThoughtNode, ReasoningRequest, ReasoningResponse, CONFIG } from '../types.js'; import { BaseStrategy } from './base.js'; interface MCTSNode extends ThoughtNode { visits: number; totalReward: number; untriedActions?: string[]; } export class MonteCarloTreeSearchStrategy extends BaseStrategy { private readonly explorationConstant = Math.sqrt(2); private readonly simulationDepth = CONFIG.maxDepth; private readonly numSimulations = 50; private root: MCTSNode | null = null; constructor(stateManager: any) { super(stateManager); } public async processThought(request: ReasoningRequest): Promise<ReasoningResponse> { const nodeId = uuidv4(); const parentNode = request.parentId ? await this.getNode(request.parentId) as MCTSNode : undefined; const node: MCTSNode = { id: nodeId, thought: request.thought, depth: request.thoughtNumber - 1, score: 0, children: [], parentId: request.parentId, isComplete: !request.nextThoughtNeeded, visits: 0, totalReward: 0, untriedActions: [] }; // Initialize node node.score = this.evaluateThought(node, parentNode); node.visits = 1; node.totalReward = node.score; await this.saveNode(node); // Update parent if exists if (parentNode) { parentNode.children.push(node.id); await this.saveNode(parentNode); } // If this is a root node, store it if (!parentNode) { this.root = node; } // Run MCTS simulations if (!node.isComplete) { await this.runSimulations(node); } // Calculate path statistics const currentPath = await this.stateManager.getPath(nodeId); const pathScore = this.calculatePathScore(currentPath); return { nodeId: node.id, thought: node.thought, score: node.score, depth: node.depth, isComplete: node.isComplete, nextThoughtNeeded: request.nextThoughtNeeded, possiblePaths: this.calculatePossiblePaths(node), bestScore: pathScore }; } private async runSimulations(node: MCTSNode): Promise<void> { for (let i = 0; i < this.numSimulations; i++) { const selectedNode = await this.select(node); const expandedNode = await this.expand(selectedNode); const reward = await this.simulate(expandedNode); await this.backpropagate(expandedNode, reward); } } private async select(node: MCTSNode): Promise<MCTSNode> { let current = node; while (current.children.length > 0 && !current.untriedActions?.length) { const children = await Promise.all( current.children.map(id => this.getNode(id)) ) as MCTSNode[]; current = this.selectBestUCT(children); } return current; } private async expand(node: MCTSNode): Promise<MCTSNode> { if (node.isComplete || node.depth >= this.simulationDepth) { return node; } // Create a new thought node as expansion const newNode: MCTSNode = { id: uuidv4(), thought: `Simulated thought at depth ${node.depth + 1}`, depth: node.depth + 1, score: 0, children: [], parentId: node.id, isComplete: false, visits: 1, totalReward: 0 }; newNode.score = this.evaluateThought(newNode, node); await this.saveNode(newNode); node.children.push(newNode.id); await this.saveNode(node); return newNode; } private async simulate(node: MCTSNode): Promise<number> { let current = node; let totalScore = current.score; let depth = current.depth; while (depth < this.simulationDepth && !current.isComplete) { const simulatedNode: MCTSNode = { id: uuidv4(), thought: `Random simulation at depth ${depth + 1}`, depth: depth + 1, score: 0, children: [], parentId: current.id, isComplete: depth + 1 >= this.simulationDepth, visits: 1, totalReward: 0 }; simulatedNode.score = this.evaluateThought(simulatedNode, current); totalScore += simulatedNode.score; current = simulatedNode; depth++; } return totalScore / (depth - node.depth + 1); } private async backpropagate(node: MCTSNode, reward: number): Promise<void> { let current: MCTSNode | undefined = node; while (current) { current.visits++; current.totalReward += reward; await this.saveNode(current); current = current.parentId ? await this.getNode(current.parentId) as MCTSNode : undefined; } } private selectBestUCT(nodes: MCTSNode[]): MCTSNode { const totalVisits = nodes.reduce((sum, node) => sum + node.visits, 0); return nodes.reduce((best, node) => { const exploitation = node.totalReward / node.visits; const exploration = Math.sqrt(Math.log(totalVisits) / node.visits); const uct = exploitation + this.explorationConstant * exploration; return uct > (best.totalReward / best.visits + this.explorationConstant * Math.sqrt(Math.log(totalVisits) / best.visits)) ? node : best; }); } private calculatePathScore(path: ThoughtNode[]): number { if (path.length === 0) return 0; return path.reduce((acc, node) => acc + node.score, 0) / path.length; } private calculatePossiblePaths(node: MCTSNode): number { return Math.pow(2, this.simulationDepth - node.depth); } public async getBestPath(): Promise<ThoughtNode[]> { if (!this.root) return []; const bestChild = (await Promise.all( this.root.children.map(id => this.getNode(id)) ) as MCTSNode[]) .reduce((best, node) => node.visits > best.visits ? node : best ); return this.stateManager.getPath(bestChild.id); } public async getMetrics(): Promise<any> { const baseMetrics = await super.getMetrics(); return { ...baseMetrics, simulationDepth: this.simulationDepth, numSimulations: this.numSimulations, explorationConstant: this.explorationConstant, totalSimulations: this.root?.visits || 0 }; } public async clear(): Promise<void> { await super.clear(); this.root = null; } }
ID: pz4pgwvn1c