Mirror, Mirror

\n \n

\n\n \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} ${turn.question}` }\n );\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: CONVERSATIONAL_SYSTEM_PROMPT }, ...messages],\n response_format: { type: \"json_object\" },\n });\n\n const aiMessageString = completion.choices[0].message.content;\n const aiMessageObject = JSON.parse(aiMessageString);\n\n // Ensure UI object exists\n if (!aiMessageObject.ui) {\n aiMessageObject.ui = { color: \"default\", font: \"default\" };\n }\n\n return new Response(JSON.stringify(aiMessageObject), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Conversational AI Error:\", error);\n const errorMessage = {\n role: \"ai\",\n empatheticStatement: \"I seem to be having trouble processing that. My apologies.\",\n question: \"Could you please try rephrasing or continuing?\",\n ui: { color: \"default\", font: \"default\" },\n };\n return new Response(JSON.stringify(errorMessage), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // --- ACTION: Perform the full personality extraction (already robust) ---\n if (req.method === \"POST\" && action === \"extractPersonality\") {\n try {\n const { transcript, turns } = await req.json();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: PERSONALITY_EXTRACTION_SYSTEM_PROMPT },\n { role: \"user\", content: `Here is the conversation transcript:\\n\\n${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",[98],"permalink","https://www.val.town/x/legal/mirror-info/code/main.tsx","extension","actionData","errors"]