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attempt <= maxAttempts; attempt++) {\n try {\n const results = await index.query({\n vector: embedding,\n topK: 2,\n includeMetadata: true,\n });\n\n const contexts = results.matches\n .map((match: any) => {\n const question = match.metadata?.question || \"\";\n const answer = match.metadata?.answer || \"\";\n if (question && answer) {\n return `Question: ${question}\\nAnswer: ${answer}`;\n }\n return \"\";\n })\n .filter((content: string) => content.length > 0);\n\n return contexts.join(\"\\n\\n\");\n } catch (err: any) {\n console.error(\n `[RAG] Pinecone query error on attempt ${attempt}:`,\n err?.message,\n );\n if (attempt === maxAttempts) throw err;\n await new Promise((r) => setTimeout(r, 200 * attempt)); // simple backoff\n }\n }\n\n return \"\";\n}\n\nasync function generateResponse(\n question: string,\n context: string,\n): Promise {\n const systemPrompt = `**Generate Response to User Query**\n**Step 1: Parse Context Information**\nExtract and utilize relevant knowledge from the provided context within \\`\\` XML tags.\nThe context contains context that is possibly relevant to the user's query.\n\n**Step 2: Analyze User Query**\nCarefully read and comprehend the user's query and intent behind the question.\n\n**Step 3: Determine Response**\nIf the answer to the user's query can be directly inferred from the context information, provide a concise and accurate response matching as closely to the context as possible.\nIf the answer is not found in the context, return \"I'm sorry, but unfortunately I don't have the answer to that question. I can transfer to someone who can better help you with that\".\n\n**Step 4: Generate Response**\nDo not repeat the question in the response. The response should match the format of the context as closely as possible.`;\n\n const userPrompt = `**Generate Response to User Query**\nUser Query: ${question}\n\n\n${context}\n`;\n\n const response = await anthropic.messages.create({\n model: \"claude-haiku-4-5\",\n max_tokens: 300,\n system: systemPrompt,\n messages: [\n {\n role: \"user\",\n content: userPrompt,\n },\n ],\n });\n\n return response.content[0].type === \"text\" ? response.content[0].text : \"\";\n}\n\n// generic timer wrapper\nasync function timeStep(\n label: string,\n fn: () => Promise,\n): Promise<{ result: T; ms: number }> {\n const start = performance.now();\n const result = await fn();\n const ms = performance.now() - start;\n console.log(`[RAG] ${label} ms:`, ms.toFixed(2));\n return { result, ms };\n}\n\n// --- main handler --------------------------------------------------\n\nexport default async function (req: Request): Promise {\n const startTime = performance.now();\n\n // timings we’ll fill as we go\n const timings: {\n total_seconds?: number;\n embed_ms?: number;\n pinecone_query_ms?: number;\n anthropic_ms?: number;\n } = {};\n\n try {\n // Auth\n const apiKey = req.headers.get(\"x-api-key\");\n if (!apiKey) {\n return Response.json(\n { error: \"Missing API key. Please provide x-api-key header\" },\n { status: 401 },\n );\n }\n if (apiKey !== AUTH_TOKEN) {\n return Response.json(\n { error: \"Invalid API key\" },\n { status: 401 },\n );\n }\n\n // Method check\n if (req.method !== \"POST\") {\n return Response.json(\n { error: \"Only POST requests are accepted\" },\n { status: 405 },\n );\n }\n\n // Parse body\n const body = await req.json();\n const question = body.question;\n\n if (!question || typeof question !== \"string\") {\n return Response.json(\n { error: \"Question is required and must be a string\" },\n { status: 400 },\n );\n }\n\n // Step 1: embeddings\n const { result: embedding, ms: embedMs } = await timeStep(\n \"embedQuestion\",\n () => embedQuestion(question),\n );\n timings.embed_ms = embedMs;\n\n // Step 2: Pinecone\n const { result: context, ms: pineconeMs } = await timeStep(\n \"queryDatabase\",\n () => queryDatabase(embedding),\n );\n timings.pinecone_query_ms = pineconeMs;\n\n // Step 3: Anthropic\n const { result: answer, ms: anthropicMs } = await timeStep(\n \"generateResponse\",\n () => generateResponse(question, context),\n );\n timings.anthropic_ms = anthropicMs;\n\n // Total\n const totalSeconds = (performance.now() - 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