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mcp-omnisearch

index.ts4.08 kB
import { http_json } from '../../../common/http.js'; import { EnhancementProvider, EnhancementResult, ErrorType, ProviderError, } from '../../../common/types.js'; import { retry_with_backoff, sanitize_query, validate_api_key, } from '../../../common/utils.js'; import { config } from '../../../config/env.js'; export interface EnrichmentResponse { data: Array<{ title: string; url: string; snippet: string; rank?: number; }>; meta?: { total_hits: number; api_balance?: number; }; } export class KagiEnrichmentProvider implements EnhancementProvider { name = 'kagi_enrichment'; description = 'Provides supplementary content from specialized indexes (Teclis for web, TinyGem for news). Ideal for discovering non-mainstream results and enriching content with specialized knowledge.'; async enhance_content(content: string): Promise<EnhancementResult> { const api_key = validate_api_key( config.enhancement.kagi_enrichment.api_key, this.name, ); const enrich_request = async () => { try { // Try both web and news endpoints const [webData, newsData] = await Promise.all([ http_json<EnrichmentResponse & { message?: string }>( this.name, `https://kagi.com/api/v0/enrich/web?${new URLSearchParams( { q: sanitize_query( 'artificial intelligence software development', ), limit: '5', }, )}`, { method: 'GET', headers: { Authorization: `Bot ${api_key}`, Accept: 'application/json', }, signal: AbortSignal.timeout( config.enhancement.kagi_enrichment.timeout, ), }, ), http_json<EnrichmentResponse & { message?: string }>( this.name, `https://kagi.com/api/v0/enrich/news?${new URLSearchParams( { q: sanitize_query( 'artificial intelligence code generation testing', ), limit: '5', }, )}`, { method: 'GET', headers: { Authorization: `Bot ${api_key}`, Accept: 'application/json', }, signal: AbortSignal.timeout( config.enhancement.kagi_enrichment.timeout, ), }, ), ]); if (!webData?.data || !newsData?.data) { throw new ProviderError( ErrorType.API_ERROR, 'Unexpected response: missing data from enrichment endpoints', this.name, ); } // Combine and filter results const allData = [...webData.data, ...newsData.data].filter( (result) => // Filter for results about software/development/AI result.snippet?.toLowerCase().includes('software') || result.snippet?.toLowerCase().includes('develop') || result.snippet?.toLowerCase().includes('programming') || result.snippet?.toLowerCase().includes('code') || result.snippet ?.toLowerCase() .includes('artificial intelligence') || result.snippet?.toLowerCase().includes('ai'), ); // Clean and combine snippets const enhanced_content = allData .map((result) => result.snippet) .filter(Boolean) .map((snippet) => // Fix HTML entities snippet .replace(/&#39;/g, "'") .replace(/&quot;/g, '"') .replace(/&amp;/g, '&') .replace(/&lt;/g, '<') .replace(/&gt;/g, '>'), ) .join('\n\n'); return { original_content: content, enhanced_content, enhancements: [ { type: 'content_enrichment', description: 'Added supplementary information from Teclis (web) and TinyGem (news) specialized indexes', }, ], sources: allData.map((result) => ({ title: result.title, url: result.url, })), source_provider: this.name, }; } catch (error) { if (error instanceof ProviderError) { throw error; } throw new ProviderError( ErrorType.API_ERROR, `Failed to fetch: ${ error instanceof Error ? error.message : 'Unknown error' }`, this.name, ); } }; return retry_with_backoff(enrich_request); } }

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