'use strict';

var chunkRACFGTZY_cjs = require('../chunk-RACFGTZY.cjs');

// src/relevance/relevance-score-provider.ts
function createSimilarityPrompt(query, text) {
  return `Rate the semantic similarity between the following the query and the text on a scale from 0 to 1 (decimals allowed), where 1 means exactly the same meaning and 0 means completely different:

Query: ${query}

Text: ${text}

Relevance score (0-1):`;
}

// src/relevance/mastra-agent/index.ts
var MastraAgentRelevanceScorer = class {
  agent;
  constructor(name, model) {
    this.agent = new chunkRACFGTZY_cjs.Agent({
      id: `relevance-scorer-${name}`,
      name: `Relevance Scorer ${name}`,
      instructions: `You are a specialized agent for evaluating the relevance of text to queries.
Your task is to rate how well a text passage answers a given query.
Output only a number between 0 and 1, where:
1.0 = Perfectly relevant, directly answers the query
0.0 = Completely irrelevant
Consider:
- Direct relevance to the question
- Completeness of information
- Quality and specificity
Always return just the number, no explanation.`,
      model
    });
  }
  async getRelevanceScore(query, text) {
    const prompt = createSimilarityPrompt(query, text);
    const model = await this.agent.getModel();
    let response;
    if (chunkRACFGTZY_cjs.isSupportedLanguageModel(model)) {
      const responseText = await this.agent.generate(prompt);
      response = responseText.text;
    } else {
      const responseText = await this.agent.generateLegacy(prompt);
      response = responseText.text;
    }
    return parseFloat(response);
  }
};

exports.MastraAgentRelevanceScorer = MastraAgentRelevanceScorer;
exports.createSimilarityPrompt = createSimilarityPrompt;
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