@mastra/core/dist/relevance/index.cjs

Object.defineProperty(exports, Symbol.toStringTag, { value: "Module" });
const require_trip_wire = require("../trip-wire-dxd_uCHj.cjs");
const require_agent = require("../agent-DCD4MApC.cjs");
//#region 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):`;
}
//#endregion
//#region src/relevance/mastra-agent/index.ts
var MastraAgentRelevanceScorer = class {
	agent;
	constructor(name, model) {
		this.agent = new require_agent.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 (require_trip_wire.isSupportedLanguageModel(model)) response = (await this.agent.generate(prompt)).text;
		else response = (await this.agent.generateLegacy(prompt)).text;
		return parseFloat(response);
	}
};
//#endregion
exports.MastraAgentRelevanceScorer = MastraAgentRelevanceScorer;
exports.createSimilarityPrompt = createSimilarityPrompt;

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