AuraAI Chatbot

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_154":155,"_156":157},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_104":85,"_27":105,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":25,"_119":120,"_121":58,"_122":-5,"_123":-5,"_124":125},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":54,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":79,"_80":81,"_82":83,"_84":25},"version",11,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","new-file-6196.ts","latestPath","fileId","18d1f6ee-b154-11f1-aaa4-1607ee4eb77e","name","fileType","http","content","export default async function (req: Request) {\n // 1. FRONTEND: Shows the visual chat box when you open the link in your browser\n if (req.method === \"GET\") {\n const html = `\n \n \n \n \n \n AuraAI Chatbot\n \n \n \n

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: Sends your messages directly to the corrected Velona endpoint\n try {\n const body = await req.json();\n const userMessage = body.message;\n\n // 👇 KEEP YOUR API KEY STRING PRECISELY INSIDE THESE QUOTES 👇\n const VELONA_KEY =\n \"key_experimental_20260915_e95ce90289a48c18cc790067e8a691ae\";\n\n if (VELONA_KEY === \"PASTE_YOUR_ACTUAL_VELONA_API_KEY_HERE\" || !VELONA_KEY) {\n return Response.json({\n reply: \"Configuration error: Missing key variable settings.\",\n });\n }\n\n if (!userMessage) {\n return Response.json({ error: \"No message provided\" }, { status: 400 });\n }\n\n // Corrected target endpoint verified by the Velona API documentation\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: \"meta-llama/llama-3-70b-instruct\",\n turns: [{ role: \"user\", content: userMessage }],\n }),\n },\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 = \"Error text: \" +\n (aiData.error?.message || 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 }\n}","export default async function (req: Request) {\n // 1. FRONTEND: Renders the visual chat box interface\n if (req.method === \"GET\") {\n const html = `\n \n \n \n \n \n AuraAI Chatbot\n \n \n \n

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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Diff · v11