47 lines
1.5 KiB
JavaScript
47 lines
1.5 KiB
JavaScript
import Anthropic from "@anthropic-ai/sdk";
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import { anthropicApiKey } from "../.secrets.js";
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const client = new Anthropic({
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apiKey: anthropicApiKey,
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});
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const buildPrompt = (notes) => {
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const notesJson = JSON.stringify(notes, null, 2);
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return `You are an expert at analyzing text for semantic similarity and thematic patterns.
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Below is a JSON array of sticky notes. Each note has an "id" and a "text" field. Analyze the "text" field of every note and group them into meaningful thematic clusters.
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For each cluster, return ONLY a valid JSON array with the below exact structure — no markdown, no explanation, no extra text - where the value for the "label" key is a name you create to describe the cluster's theme and the value for the "noteIds" key is an array containing the Ids of the notes that fit into that cluster theme.
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[
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{
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"label": "Short descriptive theme name for cluster",
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"noteIds": ["note_001", "note_002"]
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}
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]
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Rules:
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- Every note must appear in exactly one cluster
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- Each cluster must have a concise, descriptive label
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- Group by semantic meaning, not by keywords
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- Aim for the most natural number of groups given the data
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Here are the notes:
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${notesJson}`;
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};
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export const clusterNotes = async (notes) => {
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const response = await client.messages.create({
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model: "claude-sonnet-4-20250514",
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max_tokens: 4096,
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messages: [
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{ role: "user", content: buildPrompt(notes) },
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],
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});
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const raw = response.content[0].text;
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return JSON.parse(raw);
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};
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