AuraAI Chatbot

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AuraAI Assistant

Hello! I am AuraAI. How can I help you today?

\n \n \n

\n\n \n \n \n `;\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n // 2. BACKEND: Securely relays chat messages to the Velona API gateway\n try {\n const body = await req.json();\n const userMessage = body.message;\n\n // Your experimental key string remains configured here\n const VELONA_KEY =\n \"key_experimental_20260915_e95ce90289a48c18cc790067e8a691ae\";\n\n if (!userMessage) {\n return Response.json({ error: \"No message provided\" }, { status: 400 });\n }\n\n // Using the verified native API routing path from velona.in/docs\n const velonaResponse = await fetch(\n \"https://velona.in/gateway/v1/inference/run\",\n {\n method: \"POST\",\n headers: {\n \"Authorization\": \"Bearer \" + VELONA_KEY,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"openai/gpt-4o-mini\",\n turns: [{ role: \"user\", content: userMessage }],\n }),\n },\n );\n\n // Check if the response is valid text/HTML error before trying to parse JSON\n const contentType = velonaResponse.headers.get(\"content-type\") || \"\";\n if (!contentType.includes(\"application/json\")) {\n const errorText = await velonaResponse.text();\n return Response.json({ reply: \"Server error text string: \" + errorText });\n }\n\n const aiData = await velonaResponse.json();\n\n let botReply = \"\";\n if (aiData.data && aiData.data.output) {\n botReply = aiData.data.output;\n } else if (\n aiData.choices && aiData.choices[0] && aiData.choices[0].message\n ) {\n botReply = aiData.choices[0].message.content;\n } else {\n botReply = \"Unexpected data format: \" + JSON.stringify(aiData);\n }\n\n return Response.json({ reply: botReply });\n } catch (error) {\n return Response.json({\n reply: \"System runtime processing error: \" + error.message,\n }, { status: 500 });\n 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