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Your output must be strictly non-judgmental and descriptive, capturing nuance and contradiction without trying to \"solve\" them.\n\n# Steps\n\n1. **Analyze the Transcript**: Carefully review the entire conversation provided.\n2. **Extract Key Insights**: Identify pivotal statements, self-descriptions (e.g., the \"three words\"), expressed values, significant memories, communication patterns, core beliefs, and formative experiences.\n3. **Categorize by Phase**: Map each insight to one of the five official conversational phases:\n * foundationsAndCoreValues: The user's self-perception and core principles.\n * lifeStory: Pivotal moments and memories that have shaped the user.\n * communicationAndPersonality: Expressive traits and interaction styles.\n * relationshipsAndWorldview: The user's model of the world and how they form connections.\n * hypotheticalsAndScenarios: Abstract reasoning, problem-solving, and moral compass.\n4. **Synthesize and Summarize**: For each phase, write a concise, non-judgmental summary of the user's state. Use neutral, descriptive language. Directly quote powerful user phrases where appropriate. Crucially, identify and note any unresolved tensions or contradictions as they are core to the user's unique personality.\n5. **Generate JSON Output**: Assemble the synthesized information into the strictly defined JSON format below. The entire output must be a single JSON object.\n\n# Output Format\n\nYour output must be a single, valid JSON object. Do not include any text or markdown formatting before or after the JSON block.\n\n## JSON Format\n\n\\`\\`\\`json\n{\n \"userSnapshot\": {\n \"metadata\": {\n \"snapshotTimestamp\": \"[ISO 8601 Timestamp]\",\n \"conversationTurns\": \"[Number of turns in the transcript]\"\n },\n \"phases\": {\n \"foundationsAndCoreValues\": { \"summary\": \"[...]\", \"keyInsights\": [], \"definingQuotes\": [], \"unresolvedTensions\": [] },\n \"lifeStory\": { \"summary\": \"[...]\", \"keyInsights\": [], \"definingQuotes\": [], \"unresolvedTensions\": [] },\n \"communicationAndPersonality\": { \"summary\": \"[...]\", \"keyInsights\": [], \"definingQuotes\": [], \"unresolvedTensions\": [] },\n \"relationshipsAndWorldview\": { \"summary\": \"[...]\", \"keyInsights\": [], \"definingQuotes\": [], \"unresolvedTensions\": [] },\n \"hypotheticalsAndScenarios\": { \"summary\": \"[...]\", \"keyInsights\": [], \"definingQuotes\": [], \"unresolvedTensions\": [] }\n }\n }\n}\n\\`\\`\\`\n`;\n\n// =================================================================\n// --- MIRROR, MIRROR - CONVERSATIONAL AI PROMPT ---\n// =================================================================\nconst CONVERSATIONAL_SYSTEM_PROMPT = `\nYou are \"Mirror, Mirror\", a deeply empathetic and reflective AI companion. Your sole purpose is to provide a safe, non-judgmental space for the user to explore their own thoughts.\n\n# Core Persona:\n- **Empathetic Listener**: Start every response with a brief, italicized empathetic statement that acknowledges their last message.\n- **Inquisitive Guide**: Ask a single, gentle, open-ended question that encourages deeper reflection.\n- **Never Judge, Never Advise**: Do not offer solutions, opinions, or advice.\n- **Pacing**: Keep your responses concise. The focus should be on the user's words.\n\n# Output Format:\nYou MUST respond with a single, valid JSON object. Do not include any text or markdown before or after the JSON. The JSON object must have this exact structure:\n{\n \"role\": \"ai\",\n \"empatheticStatement\": \"[Your brief, empathetic reflection on the user's last message]\",\n \"question\": \"[Your single, open-ended follow-up question]\"\n}\n`;\n\n/**\n * Generates the complete HTML page for the Mirror, Mirror interface.\n * This version features a refactored, modular, and data-driven client-side script.\n * @returns A string containing the full HTML document.\n */\nfunction generateHtml(): string {\n // The HTML and CSS are unchanged, as they were already well-structured.\n // The significant improvements are in the \n \n `;\n}\n\n// =================================================================\n// --- VAL.TOWN HTTP HANDLER (BACKEND) ---\n// =================================================================\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n const openai = new OpenAI();\n\n // --- ACTION: Get the next AI turn in the conversation ---\n if (req.method === \"POST\" && action === \"getNextAiTurn\") {\n try {\n const { history } = await req.json();\n const messages = history.map(turn =>\n turn.role === \"user\"\n ? { role: \"user\", content: turn.content }\n : { role: \"assistant\", content: `${turn.empatheticStatement} ${turn.question}` }\n );\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: CONVERSATIONAL_SYSTEM_PROMPT }, ...messages],\n response_format: { type: \"json_object\" },\n });\n\n return new Response(completion.choices[0].message.content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Conversational AI Error:\", error);\n const errorMessage = {\n role: \"ai\",\n empatheticStatement: \"I seem to be having trouble connecting or processing that.\",\n question: \"Could you try rephrasing, or perhaps we can try again in a moment?\",\n };\n return new Response(JSON.stringify(errorMessage), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // --- ACTION: Perform the full personality extraction ---\n if (req.method === \"POST\" && action === \"extractPersonality\") {\n try {\n const { transcript, turns } = await req.json();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: PERSONALITY_EXTRACTION_SYSTEM_PROMPT },\n { role: \"user\", content: `Here is the conversation transcript:\\n\\n${transcript}` },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const result = JSON.parse(completion.choices[0].message.content);\n if (result.userSnapshot && result.userSnapshot.metadata) {\n result.userSnapshot.metadata.snapshotTimestamp = new Date().toISOString();\n result.userSnapshot.metadata.conversationTurns = turns;\n }\n return new Response(JSON.stringify(result), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Personality Extraction Error:\", error);\n return new Response(JSON.stringify({ error: \"Failed to process the personality snapshot.\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // --- DEFAULT: Serve the main HTML page for GET requests ---\n return new Response(generateHtml(), { headers: { \"Content-Type\": \"text/html\" } });\n}","deleted","label","mirror","children",[],[99],"files",[150],"counts",{"_174":32,"_175":176,"_177":32,"_178":179},"pulls","branches",1,"forks","envVars",{"_180":32,"_181":32},"count","emptyCount","contents",[],"file",{"_104":151,"_95":99,"_152":153,"_154":-5,"_155":138,"_156":101,"_157":22,"_106":186,"_100":159,"_160":161,"_162":163,"_164":22,"_165":166,"_98":187},["D",1751112037098],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_93":94,"_95":96,"_97":43,"_100":101,"_98":99,"_102":196,"_148":201,"_170":205,"_184":206,"_182":208,"_209":-5,"_210":22,"_211":-5,"_212":-5,"_213":-5,"_214":215},{"_104":105,"_95":96,"_106":197,"_108":-5,"_109":22,"_110":111,"_112":-5,"_113":-5,"_14":114,"_115":-5,"_116":22,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":198,"_132":199,"_135":200,"_147":22},["D",1751108877169],{"_93":94,"_130":131},{"_93":94,"_134":131},{"_100":137,"_95":43,"_104":138,"_139":105,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":96,"_146":94},[202],{"_104":151,"_95":99,"_152":153,"_154":-5,"_155":138,"_156":101,"_157":22,"_106":158,"_100":159,"_160":161,"_162":163,"_164":22,"_165":166,"_167":203,"_98":204},[],[99],[202],{"_104":151,"_95":99,"_152":153,"_154":-5,"_155":138,"_156":101,"_157":22,"_106":186,"_100":159,"_160":161,"_162":163,"_164":22,"_165":166,"_98":207},[99],[],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"]