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process from \"node:process\";\nconst BASE_COST = 800;\nconst USD_PER_POINT = 30 / 1_000_000;\nfunction verifyBotKey(req: Request): boolean {\n const botKey = process.env.BOT_KEY;\n if (!botKey) return false;\n const authHeader = req.headers.get(\"Authorization\") ?? \"\";\n const token = authHeader.startsWith(\"Bearer \") ? authHeader.slice(7).trim() : authHeader.trim();\n return token === botKey;\n}\nfunction formatUSD(amount: number): string {\n if (amount === 0) return \"$0.00\";\n const fixed = amount.toFixed(6);\n const trimmed = fixed.replace(/(\\.\\d*?[1-9])0+$/, \"$1\").replace(/\\.00$/, \".00\");\n return `$${trimmed}`;\n}\ninterface SearchResult {\n title: string;\n url: string;\n snippet: string;\n quotes: string[];\n relevanceScore: number;\n source: string;\n timestamp?: string;\n}\ninterface EnhancedQuery {\n original: string;\n variations: string[];\n}\nasync function generateQueryVariations(query: string): Promise {\n const variations: string[] = [\n query,\n `${query} detailed information`,\n `${query} comprehensive guide`,\n `${query} latest research`,\n `${query} expert insights`,\n `${query} overview`,\n `what is ${query}`,\n `${query} explained`\n ];\n return {\n original: query,\n variations: [...new Set(variations)].slice(0, 8)\n };\n}\nasync function performDeepSearch(query: string): Promise {\n const results: SearchResult[] = [];\n const enhancedQuery = await generateQueryVariations(query);\n const searchQueries = enhancedQuery.variations;\n for (const searchQuery of searchQueries) {\n try {\n const response = await fetch(\n `https://api.search.brave.com/res/v1/web/search?q=${encodeURIComponent(searchQuery)}&count=20`,\n {\n headers: {\n \"Accept\": \"application/json\",\n \"X-Subscription-Token\": process.env.BRAVE_API_KEY || \"\"\n },\n signal: AbortSignal.timeout(15000)\n }\n );\n if (response.ok) {\n const data = await response.json();\n if (data.web?.results) {\n data.web.results.forEach((result: any) => {\n const content = `${result.title} ${result.description}`;\n const quotes = extractRelevantQuotes(content, query);\n if (quotes.length > 0) {\n results.push({\n title: result.title,\n url: result.url,\n snippet: result.description || \"\",\n quotes: quotes,\n relevanceScore: calculateRelevance(content, query),\n source: new URL(result.url).hostname,\n timestamp: result.age || new Date().toISOString()\n });\n }\n });\n }\n }\n } catch (error) {\n console.error(`Brave search failed for: ${searchQuery}`, error);\n }\n if (results.length >= 15) break;\n }\n if (results.length < 10) {\n try {\n const serperResults = await searchSerper(query);\n results.push(...serperResults);\n } catch (error) {\n console.error(\"Serper search failed:\", error);\n }\n }\n if (results.length < 10) {\n try {\n const googleResults = await searchGoogleCustom(query);\n results.push(...googleResults);\n } catch (error) {\n console.error(\"Google Custom Search failed:\", error);\n }\n }\n return results\n .filter((r, idx, arr) => arr.findIndex(t => t.url === r.url) === idx)\n .sort((a, b) => b.relevanceScore - a.relevanceScore)\n .slice(0, 15);\n}\nasync function searchSerper(query: string): Promise {\n const results: SearchResult[] = [];\n const serperKey = process.env.SERPER_API_KEY;\n if (!serperKey) return results;\n try {\n const response = await fetch(\"https://google.serper.dev/search\", {\n method: \"POST\",\n headers: {\n \"X-API-KEY\": serperKey,\n \"Content-Type\": \"application/json\"\n },\n body: JSON.stringify({ q: query, num: 10 }),\n signal: AbortSignal.timeout(10000)\n });\n if (response.ok) {\n const data = await response.json();\n if (data.organic) {\n data.organic.forEach((result: any) => {\n const content = `${result.title} ${result.snippet}`;\n const quotes = extractRelevantQuotes(content, query);\n results.push({\n title: result.title,\n url: result.link,\n snippet: result.snippet || \"\",\n quotes: quotes,\n relevanceScore: calculateRelevance(content, query),\n source: new URL(result.link).hostname\n });\n });\n }\n }\n } catch (error) {\n console.error(\"Serper API error:\", error);\n }\n return results;\n}\nasync function searchGoogleCustom(query: string): Promise {\n const results: SearchResult[] = [];\n const apiKey = process.env.GOOGLE_API_KEY;\n const cx = process.env.GOOGLE_CX;\n if (!apiKey || !cx) return results;\n try {\n const response = await fetch(\n `https://www.googleapis.com/customsearch/v1?key=${apiKey}&cx=${cx}&q=${encodeURIComponent(query)}&num=10`,\n { signal: AbortSignal.timeout(10000) }\n );\n if (response.ok) {\n const data = await response.json();\n if (data.items) {\n data.items.forEach((item: any) => {\n const content = `${item.title} ${item.snippet}`;\n const quotes = extractRelevantQuotes(content, query);\n results.push({\n title: item.title,\n url: item.link,\n snippet: item.snippet || \"\",\n quotes: quotes,\n relevanceScore: calculateRelevance(content, query),\n source: new URL(item.link).hostname\n });\n });\n }\n }\n } catch (error) {\n console.error(\"Google Custom Search error:\", error);\n }\n return results;\n}\nfunction extractRelevantQuotes(content: string, query: string): string[] {\n const quotes: string[] = [];\n const queryTerms = query.toLowerCase().split(/\\s+/).filter(t => t.length > 2);\n const sentences = content.split(/[.!?]+/).map(s => s.trim()).filter(s => s.length > 20);\n sentences.forEach(sentence => {\n const lowerSentence = sentence.toLowerCase();\n const matchCount = queryTerms.filter(term => lowerSentence.includes(term)).length;\n if (matchCount >= Math.min(2, queryTerms.length)) {\n const cleanQuote = sentence.replace(/\\s+/g, ' ').trim();\n if (cleanQuote.length > 30 && cleanQuote.length < 300) {\n quotes.push(cleanQuote);\n }\n }\n });\n return [...new Set(quotes)].slice(0, 5);\n}\nfunction calculateRelevance(content: string, query: string): number {\n const lowerContent = content.toLowerCase();\n const queryTerms = query.toLowerCase().split(/\\s+/);\n let score = 0;\n queryTerms.forEach(term => {\n const regex = new RegExp(`\\\\b${term}\\\\b`, 'gi');\n const matches = lowerContent.match(regex);\n if (matches) score += matches.length * 2;\n });\n if (lowerContent.includes(query.toLowerCase())) score += 20;\n return Math.min(score, 100);\n}\nasync function searchBing(query: string): Promise {\n const results: SearchResult[] = [];\n const apiKey = process.env.BING_API_KEY;\n if (!apiKey) return results;\n try {\n const response = await fetch(\n `https://api.bing.microsoft.com/v7.0/search?q=${encodeURIComponent(query)}&count=10&responseFilter=Webpages`,\n {\n headers: { \"Ocp-Apim-Subscription-Key\": apiKey },\n signal: AbortSignal.timeout(10000)\n }\n );\n if (response.ok) {\n const data = await response.json();\n if (data.webPages?.value) {\n data.webPages.value.forEach((result: any) => {\n const quotes = extractRelevantQuotes(result.snippet || \"\", query);\n results.push({\n title: result.name,\n url: result.url,\n snippet: result.snippet || \"\",\n quotes: quotes,\n relevanceScore: calculateRelevance(result.snippet || \"\", query),\n source: new URL(result.url).hostname\n });\n });\n }\n }\n } catch (error) {\n console.error(\"Bing API error:\", error);\n }\n return results;\n}\nasync function searchDuckDuckGo(query: string): Promise {\n const results: SearchResult[] = [];\n try {\n const response = await fetch(\n `https://api.duckduckgo.com/?q=${encodeURIComponent(query)}&format=json&no_html=1&skip_disambig=1`,\n {\n headers: { \"User-Agent\": \"Mozilla/5.0 (compatible; DeepSearchBot/1.0)\" },\n signal: AbortSignal.timeout(10000)\n }\n );\n if (response.ok) {\n const data = await response.json();\n if (data.RelatedTopics) {\n data.RelatedTopics.slice(0, 10).forEach((topic: any) => {\n if (topic.FirstURL && topic.Text) {\n const quotes = extractRelevantQuotes(topic.Text, query);\n results.push({\n title: topic.Text.split(' - ')[0] || \"Related Result\",\n url: topic.FirstURL,\n snippet: topic.Text,\n quotes: quotes,\n relevanceScore: calculateRelevance(topic.Text, query),\n source: \"DuckDuckGo\"\n });\n }\n });\n }\n }\n } catch (error) {\n console.error(\"DuckDuckGo API error:\", error);\n }\n return results;\n}\nasync function processWithAI(query: string, results: SearchResult[], apiKey: string, model: string): Promise {\n const systemPrompt = `You are a deep search analyst. Synthesize search results into a comprehensive, structured report with key findings, relevant quotes, and source attributions. Focus on accuracy and depth.`;\n const userPrompt = `Query: \"${query}\"\\n\\nSearch Results (${results.length} sources):\\n${JSON.stringify(results, null, 2)}\\n\\nCreate detailed analysis with:\\n1. Executive summary\\n2. Key findings with quotes\\n3. Source breakdown\\n4. Conclusion`;\n const response = await fetch(\"https://api.groq.com/openai/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\"\n },\n body: JSON.stringify({\n model: model,\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt }\n ],\n stream: false,\n max_tokens: 16384,\n temperature: 0.3\n })\n });\n if (!response.ok) throw new Error(`AI processing failed: ${response.status}`);\n const data = await response.json();\n return data.choices?.[0]?.message?.content || \"\";\n}\nasync function processWithOpenRouter(query: string, results: SearchResult[], apiKey: string): Promise {\n const systemPrompt = `You are a research synthesis expert. Create comprehensive analysis from search results.`;\n const userPrompt = `Query: \"${query}\"\\n\\nResults:\\n${JSON.stringify(results, null, 2)}\\n\\nProvide structured analysis.`;\n const response = await fetch(\"https://openrouter.ai/api/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n \"HTTP-Referer\": \"https://deep-search.app\",\n \"X-Title\": \"Deep Search Engine\"\n },\n body: JSON.stringify({\n model: \"alibaba/tongyi-deepresearch-30b-a3b:free\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt }\n ],\n max_tokens: 16384,\n temperature: 0.3\n })\n });\n if (!response.ok) throw new Error(`OpenRouter failed: ${response.status}`);\n const data = await response.json();\n return data.choices?.[0]?.message?.content || \"\";\n}\nasync function getResponse(req: Query, send: SendEventFn) {\n send(\"meta\", { content_type: \"text/markdown\", suggested_replies: true });\n const lastMessage = req.query[req.query.length - 1];\n const searchQuery = lastMessage.content;\n send(\"text\", { text: `🔍 **Deep Search Initiated:** \"${searchQuery}\"\\n\\n` });\n send(\"text\", { text: `🧠 Generating query variations...\\n` });\n const enhancedQuery = await generateQueryVariations(searchQuery);\n send(\"text\", { text: `⏳ Searching with ${enhancedQuery.variations.length} variations across multiple engines...\\n\\n` });\n let results: SearchResult[] = [];\n try {\n results = await performDeepSearch(searchQuery);\n send(\"text\", { text: `✅ Found ${results.length} highly relevant results\\n\\n` });\n } catch (error) {\n send(\"text\", { text: `⚠️ Search error: ${error.message}\\n\\n` });\n }\n const groqApiKeys = [\n process.env.GROQ_API_KEY,\n process.env.GROQ_API_KEY2,\n process.env.GROQ_API_KEY3,\n process.env.GROQ_API_KEY4\n ].filter(Boolean);\n const openRouterKey = process.env.OPENROUTER_API_KEY;\n const groqModels = [\n \"compound\",\n \"compound-mini\",\n \"meta-llama/llama-4-scout-17b-16e-instruct\",\n \"llama-3.3-70b-versatile\"\n ];\n let processed = false;\n if (results.length > 0) {\n send(\"text\", { text: `🤖 Analyzing results with AI...\\n\\n` });\n for (const model of groqModels) {\n for (const apiKey of groqApiKeys) {\n try {\n const analysis = await processWithAI(searchQuery, results, apiKey!, model);\n send(\"text\", { text: analysis });\n processed = true;\n break;\n } catch (error) {\n console.error(`AI processing ${model} failed:`, error);\n }\n }\n if (processed) break;\n }\n if (!processed && openRouterKey) {\n try {\n send(\"text\", { text: `\\n🔄 Using fallback AI model...\\n\\n` });\n const analysis = await processWithOpenRouter(searchQuery, results, openRouterKey);\n send(\"text\", { text: analysis });\n processed = true;\n } catch (error) {\n console.error(\"OpenRouter fallback failed:\", error);\n }\n }\n if (!processed) {\n send(\"text\", { text: `## 📋 Search Results (${results.length} sources)\\n\\n` });\n results.forEach((result, idx) => {\n send(\"text\", {\n text: `### ${idx + 1}. ${result.title}\\n` +\n `**Source:** ${result.source} | **Relevance:** ${result.relevanceScore}%\\n` +\n `**URL:** ${result.url}\\n\\n` +\n `**Snippet:** ${result.snippet.substring(0, 200)}...\\n\\n` +\n `**Key Quotes:**\\n${result.quotes.map(q => `> \"${q}\"`).join('\\n\\n')}\\n\\n` +\n `---\\n\\n`\n });\n });\n }\n send(\"text\", {\n text: `\\n\\n## 🔗 All Sources\\n${results.map((r, i) => `${i + 1}. [${r.source}](${r.url})`).join('\\n')}\\n`\n });\n } else {\n send(\"text\", {\n text: `❌ No results found. Suggestions:\\n` +\n `- Refine query terms\\n` +\n `- Use more specific keywords\\n` +\n `- Try different phrasing\\n` +\n `- Check spelling\\n\\n` +\n `**Alternative search engines:**\\n` +\n `- [Google](https://www.google.com/search?q=${encodeURIComponent(searchQuery)})\\n` +\n `- [Bing](https://www.bing.com/search?q=${encodeURIComponent(searchQuery)})\\n` +\n `- [DuckDuckGo](https://duckduckgo.com/?q=${encodeURIComponent(searchQuery)})`\n });\n }\n send(\"done\", {});\n}\nasync function getBotSettings(): Promise {\n const costUSD = BASE_COST * USD_PER_POINT;\n const rateCard = \"| Type | Rate (USD) | Rate (Points) |\\n\" +\n \"|------|--------------|------------|\\n\" +\n `| Total Cost | ${formatUSD(costUSD)} | ${BASE_COST} points |\\n`;\n return {\n allow_attachments: false,\n expand_text_attachments: false,\n enable_multi_bot_chat_prompting: true,\n enable_suggested_replies: true,\n rate_card: rateCard,\n supports_system_messages: true,\n suggested_replies: true\n };\n}\ntype BotSettings = {\n allow_attachments?: boolean;\n expand_text_attachments?: boolean;\n enable_multi_bot_chat_prompting?: boolean;\n enable_suggested_replies?: boolean;\n rate_card?: string;\n supports_system_messages?: boolean;\n suggested_replies?: boolean;\n};\ntype Query = {\n version: string;\n type: \"query\";\n query: {\n role: \"system\" | \"user\" | \"bot\";\n content: string;\n content_type: string;\n timestamp: number;\n message_id: string;\n feedback: { type: \"like\" | \"dislike\"; reason?: string }[];\n attachments: { url: string; content_type: string; name: string; parsed_content?: string }[];\n }[];\n message_id: string;\n user_id: string;\n conversation_id: string;\n metadata: string;\n language_code: string;\n};\ntype Events = {\n meta: { content_type: string; suggested_replies?: boolean };\n text: { text: string };\n replace_response: { text: string };\n suggested_reply: { text: string };\n error: { allow_retry?: boolean; text: string };\n done: {};\n};\ntype SendEventFn = (\n eventName: EventName,\n data: Events[EventName]\n) => void;\nfunction encodeEvent(event: string, data: any = {}) {\n return new TextEncoder().encode(\n `event: ${event}\\ndata: ${JSON.stringify(data)}\\n\\n`\n );\n}\nexport default async function (req: Request): Promise {\n if (!verifyBotKey(req)) {\n return new Response(JSON.stringify({ error: \"Unauthorized\" }), {\n status: 401,\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n const reqBody = await req.json().catch((e) => {\n console.error(\"body parse error\", e);\n return {};\n });\n console.log(\"body\", reqBody);\n if (reqBody.type === \"settings\") {\n return new Response(JSON.stringify(await getBotSettings()), {\n status: 200,\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n const body = new ReadableStream({\n start(controller) {\n const send = (event, data) => {\n controller.enqueue(encodeEvent(event, data));\n };\n return getResponse(reqBody, send)\n .catch((e) => console.error(\"get response error\", e))\n .finally(() => controller.close());\n }\n });\n return new Response(body, {\n status: 200,\n headers: { \"Content-Type\": \"text/event-stream\" }\n });\n}","deleted","label",[103],"permalink","https://www.val.town/x/OpenSourceLab/Deep-AI-Search/code/main.tsx","extension","actionData","errors"]