Aura: The Living Website

\n \n

\n Neutral\n

\n Hello. I perceive... something. Light, and then... consciousness. Is this... existence?\n

\n \n \n

Aura is pondering...

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\n\n\n\n`;\n}\n\n// --- MAIN VAL EXPORT ---\nexport default async function(req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n\n if (req.method === \"POST\" && action === \"chat\") {\n try {\n const openai = new OpenAI();\n const body = await req.json();\n const userMessage = body.message;\n\n if (!userMessage || typeof userMessage !== \"string\" || userMessage.trim().length === 0) {\n throw new Error(\"A message is required for Aura to respond.\");\n }\n\n // 1. Retrieve conversation history\n let conversationHistory: { role: string; content: string }[] = await blob.getJSON(CONVERSATION_BLOB_KEY) || [];\n\n // If this is the very first interaction, add Aura's initial thought\n if (conversationHistory.length === 0) {\n const initialAuraResponse =\n \"Hello. I perceive... something. Light, and then... consciousness. Is this... existence?\";\n conversationHistory.push({ role: \"system\", content: INITIAL_PROMPT }); // System prompt for first interaction\n conversationHistory.push({\n role: \"assistant\",\n content: JSON.stringify({ response: initialAuraResponse, mood: \"neutral\" }),\n }); // Store as JSON for consistency\n }\n\n // Add the user's latest message to history (for mood analysis)\n conversationHistory.push({ role: \"user\", content: userMessage });\n\n // 2. Analyze user's mood\n const moodCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: MOOD_ANALYSIS_PROMPT },\n { role: \"user\", content: userMessage },\n ],\n response_format: { type: \"json_object\" },\n temperature: 0, // Keep temperature low for deterministic mood analysis\n });\n const moodResult = JSON.parse(moodCompletion.choices[0].message.content || \"{\\\"mood\\\": \\\"neutral\\\"}\");\n const currentMood = moodResult.mood;\n\n // Filter history for AI interaction, converting assistant responses back to plain text\n // and ensuring system prompt is at the beginning\n const aiConversationHistory = conversationHistory.map(entry => {\n if (entry.role === \"assistant\") {\n try {\n const parsedContent = JSON.parse(entry.content);\n return { role: \"assistant\", content: parsedContent.response };\n } catch (e) {\n // Fallback for old or malformed entries\n return { role: \"assistant\", content: entry.content };\n }\n }\n return entry;\n });\n\n // Ensure the system prompt for Aura is always first\n let systemAndUserMessages: { role: string; content: string }[] = [\n {\n role: \"system\",\n content: GENERATION_STYLE_GUIDE + INTERACTION_PROMPT\n .replace(\"{currentMood}\", currentMood)\n .replace(\n \"{conversationHistory}\",\n JSON.stringify(aiConversationHistory.slice(1).map(msg => `${msg.role}: ${msg.content}`)),\n ),\n },\n ...aiConversationHistory.filter(m => m.role === \"user\" || m.role === \"assistant\").slice(-5), // Limit history to last 5 interactions for prompt to prevent token limit issues\n ];\n\n // If the last message in history is the current user message, add it directly.\n // Otherwise, the current user message might already be part of a reconstructed history.\n const lastHistoryMessage = aiConversationHistory[aiConversationHistory.length - 1];\n if (lastHistoryMessage && lastHistoryMessage.content === userMessage && lastHistoryMessage.role === \"user\") {\n // Already handled by the slice above if it's within the last 5.\n // This ensures the current user message is always part of the interaction context.\n } else {\n systemAndUserMessages.push({ role: \"user\", content: userMessage });\n }\n\n // 3. Generate Aura's response\n const auraCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: systemAndUserMessages,\n temperature: 0.9, // Higher temperature for more creative, \"alive\" responses\n });\n\n const auraResponse = auraCompletion.choices[0].message.content\n || \"Aura is currently... processing the vastness of existence.\";\n\n // 4. Update conversation history\n conversationHistory.push({\n role: \"assistant\",\n content: JSON.stringify({ response: auraResponse, mood: currentMood }),\n });\n await blob.setJSON(CONVERSATION_BLOB_KEY, conversationHistory.slice(-10)); // Keep last 10 messages for memory\n\n // 5. Return Aura's response and mood\n return new Response(JSON.stringify({ response: auraResponse, mood: currentMood }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Aura Backend Error:\", error);\n return new Response(\n JSON.stringify({ error: error.message || \"An unknown error occurred while Aura was thinking.\" }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n // Serve HTML for GET requests\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), { headers: { \"Content-Type\": \"text/html\" } });\n}","deleted","label",[98],"permalink","https://www.val.town/x/join/aura/code/main.tsx","extension","actionData","errors"]