kagi_enrichment_enhance
Enhance content with specialized knowledge from web and news indexes to discover non-mainstream information and supplementary insights.
Instructions
Provides supplementary content from specialized indexes (Teclis for web, TinyGem for news). Ideal for discovering non-mainstream results and enriching content with specialized knowledge.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | Content |
Implementation Reference
- The `enhance_content` method implements the core tool logic: validates API key, fetches data from Kagi's web (`/enrich/web`) and news (`/enrich/news`) endpoints in parallel, filters snippets for relevance to software/AI/development, cleans HTML entities, combines into enhanced content, and returns structured EnhancementResult with sources.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(/'/g, "'") .replace(/"/g, '"') .replace(/&/g, '&') .replace(/</g, '<') .replace(/>/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) { handle_provider_error(error, this.name, 'enrich content'); } }; return retry_with_backoff(enrich_request); }
- src/providers/index.ts:135-142 (registration)Conditional registration of the `KagiEnrichmentProvider` instance using `register_enhancement_provider` if the Kagi enrichment API key is valid. This populates the registry used for dynamic tool registration.if ( is_api_key_valid( config.enhancement.kagi_enrichment.api_key, 'kagi_enrichment', ) ) { register_enhancement_provider(new KagiEnrichmentProvider()); }
- src/server/tools.ts:469-509 (registration)Dynamic registration loop for all enhancement providers: creates MCP tool named `${provider.name}_enhance` (e.g., 'kagi_enrichment_enhance'), defines schema, and provides thin handler wrapper that calls `provider.enhance_content(content)`.this.enhancement_providers.forEach((provider) => { server.tool( { name: `${provider.name}_enhance`, description: provider.description, schema: v.object({ content: v.pipe(v.string(), v.description('Content')), }), }, async ({ content }) => { try { const result = await provider.enhance_content(content); const safe_result = handle_large_result( result, provider.name, ); return { content: [ { type: 'text' as const, text: JSON.stringify(safe_result, null, 2), }, ], }; } catch (error) { const error_response = create_error_response( error as Error, ); return { content: [ { type: 'text' as const, text: error_response.error, }, ], isError: true, }; } }, ); });
- src/server/tools.ts:474-476 (schema)Input schema for enhancement tools: requires a 'content' string parameter.schema: v.object({ content: v.pipe(v.string(), v.description('Content')), }),
- Type definition for the response from Kagi enrichment APIs, used in the handler for type safety.export interface EnrichmentResponse { data: Array<{ title: string; url: string; snippet: string; rank?: number; }>; meta?: { total_hits: number; api_balance?: number; }; }