export class ToTEngine {
constructor() {
this.beamWidth = 5;
this.maxDepth = 3;
}
async evaluateThought(thought) {
// Simple scoring based on thought coherence and relevance
const score = Math.random(); // Replace with actual evaluation logic
return score;
}
async generateThoughts(context, numThoughts = 3) {
const thoughts = [];
const scores = [];
for (let i = 0; i < numThoughts; i++) {
// In a real implementation, this would use an LLM to generate thoughts
const thought = `Thought ${i + 1} about ${context}`;
const score = await this.evaluateThought(thought);
thoughts.push(thought);
scores.push(score);
}
return { thoughts, scores };
}
async expandPath(path) {
const { thoughts, scores } = await this.generateThoughts(path[path.length - 1]);
return thoughts.map((thought, i) => ({
path: [...path, thought],
score: scores[i]
}));
}
async search(initialContext) {
let paths = [{ path: [initialContext], score: 1.0 }];
for (let depth = 0; depth < this.maxDepth; depth++) {
const newPaths = [];
for (const currentPath of paths) {
const expansions = await this.expandPath(currentPath.path);
newPaths.push(...expansions);
}
// Keep top k paths based on scores
paths = newPaths
.sort((a, b) => b.score - a.score)
.slice(0, this.beamWidth);
}
return paths;
}
}