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[])\n .sort((a: any, b: any) => b.relevance_score - a.relevance_score)\n .map((r: any) => ({\n ...results[r.index],\n relevanceScore: Math.round(r.relevance_score * 100),\n }));\n if (ranked.length > 0) return ranked;\n throw new Error(`${model} returned empty results`);\n } catch (err) {\n lastError = err as Error;\n console.error(`Rerank ${model} failed:`, err);\n }\n }\n throw lastError ?? new Error(\"All rerank models exhausted\");\n}\n// Stage 2: Groq synthesis — iterates keys × models, returns on first success.\nasync function synthesizeWithGroq(\n query: string,\n results: SearchResult[]\n): Promise {\n const groqKeys = [\n process.env.GROQ_API_KEY,\n process.env.GROQ_API_KEY2,\n process.env.GROQ_API_KEY3,\n process.env.GROQ_API_KEY4,\n ].filter(Boolean) as string[];\n if (groqKeys.length === 0) throw new Error(\"No GROQ_API_KEY set\");\n const systemPrompt =\n \"You are a deep search analyst. Synthesize search results into a comprehensive, structured report with key findings, relevant quotes, and source attributions. Prioritize accuracy and depth.\";\n const userPrompt =\n `Query: \"${query}\"\\n\\nSearch Results (${results.length} sources):\\n` +\n `${JSON.stringify(results, null, 2)}\\n\\n` +\n `Produce:\\n1. Executive summary\\n2. Key findings with direct quotes\\n3. Source credibility breakdown\\n4. Conclusion and knowledge gaps`;\n for (const model of GROQ_MODELS) {\n for (const apiKey of groqKeys) {\n try {\n const response = await fetch(\n \"https://api.groq.com/openai/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model,\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt },\n ],\n stream: false,\n max_tokens: 8192,\n temperature: 0.3,\n }),\n signal: AbortSignal.timeout(30000),\n }\n );\n if (!response.ok)\n throw new Error(`Groq ${model} HTTP ${response.status}`);\n const data = await response.json();\n const text: string = data.choices?.[0]?.message?.content ?? \"\";\n if (text.length > 0) return text;\n } catch (err) {\n console.error(`Groq ${model} failed:`, err);\n }\n }\n }\n throw new Error(\"All Groq models exhausted\");\n}\n// Stage 3 (final fallback): raw Brave-only dump with no AI synthesis.\nasync function braveFallback(\n query: string,\n send: SendEventFn\n): Promise {\n const results = await searchBrave(query);\n if (results.length === 0) {\n send(\"text\", {\n text:\n `❌ No results found. Try:\\n` +\n `- Refining query terms\\n` +\n `- More specific keywords\\n` +\n `- Different phrasing\\n\\n` +\n `**Alternative engines:**\\n` +\n `- [Google](https://www.google.com/search?q=${encodeURIComponent(query)})\\n` +\n `- [Bing](https://www.bing.com/search?q=${encodeURIComponent(query)})\\n` +\n `- [DuckDuckGo](https://duckduckgo.com/?q=${encodeURIComponent(query)})`,\n });\n return;\n }\n send(\"text\", {\n text: `## 📋 Brave Search Results (${results.length} sources)\\n\\n`,\n });\n results.forEach((result, idx) => {\n send(\"text\", {\n text:\n `### ${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) => `> \"${q}\"`).join(\"\\n\\n\")}\\n\\n` +\n `---\\n\\n`,\n });\n });\n send(\"text\", {\n text: `\\n\\n## 🔗 Sources\\n${results\n .map((r, i) => `${i + 1}. [${r.source}](${r.url})`)\n .join(\"\\n\")}\\n`,\n });\n}\nasync function getResponse(req: Query, send: SendEventFn) {\n send(\"meta\", { content_type: \"text/markdown\", suggested_replies: true });\n const searchQuery =\n req.query[req.query.length - 1].content;\n send(\"text\", { text: `🔍 Deep Search Initiated...\\n\\n` });\n send(\"text\", { text: `⏳ Gathering results in parallel...\\n\\n` });\n let gathered: SearchResult[] = [];\n try {\n gathered = await gatherResults(searchQuery);\n send(\"text\", {\n text: `✅ Collected ${gathered.length} deduplicated results\\n\\n`,\n });\n } catch (err) {\n send(\"text\", {\n text: `⚠️ Search aggregation error: ${(err as Error).message}\\n\\n`,\n });\n }\n if (gathered.length === 0) {\n send(\"text\", { text: `🔄 Falling back to Brave direct search...\\n\\n` });\n await braveFallback(searchQuery, send);\n send(\"done\", {});\n return;\n }\n // Stage 1: rerank\n let ranked = gathered;\n try {\n send(\"text\", { text: `🎯 Reranking with Cohere...\\n\\n` });\n ranked = await rerankWithOpenRouter(searchQuery, gathered);\n send(\"text\", {\n text: `✅ Reranked to ${ranked.length} top results\\n\\n`,\n });\n } catch (err) {\n console.error(\"Rerank pipeline failed:\", err);\n send(\"text\", {\n text: `⚠️ Rerank unavailable — using heuristic scores\\n\\n`,\n });\n ranked = gathered.slice(0, 15);\n }\n // Stage 2: Groq synthesis\n send(\"text\", { text: `🤖 Synthesizing with Groq...\\n\\n` });\n try {\n const analysis = await synthesizeWithGroq(searchQuery, ranked);\n send(\"text\", { text: analysis });\n send(\"text\", {\n text: `\\n\\n## 🔗 Sources\\n${ranked\n .map((r, i) => `${i + 1}. 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