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\n \n \n \n \n \n `;\n}\n\nexport default async function(req: Request): Promise {\n const openai = new OpenAI();\n const url = new URL(req.url);\n const CORS_HEADERS = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, GET, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n };\n\n if (req.method === \"OPTIONS\") return new Response(null, { status: 204, headers: CORS_HEADERS });\n\n if (req.method === \"POST\") {\n try {\n const action = url.searchParams.get(\"action\");\n const body = await req.json();\n const model = \"gpt-4o\";\n\n switch (action) {\n case \"synthesizeProject\": {\n const synthesisContent = `Current Date: ${new Date().toISOString().split(\"T\")[0]}\\n\\nGoal: ${body.goal}`;\n const completion = await openai.chat.completions.create({\n model,\n messages: [{ role: \"system\", content: PROJECT_SYNTHESIS_PROMPT }, {\n role: \"user\",\n content: synthesisContent,\n }],\n response_format: { type: \"json_object\" },\n });\n return new Response(completion.choices[0].message.content, {\n headers: { ...CORS_HEADERS, \"Content-Type\": \"application/json\" },\n });\n }\n case \"dailyRebalance\": {\n const rebalanceContent = `Here are the tasks for today that need reordering:\\n\\n${\n JSON.stringify(body.tasks, null, 2)\n }`;\n const completion = await openai.chat.completions.create({\n model,\n messages: [{ role: \"system\", content: DAILY_REBALANCE_PROMPT }, {\n role: \"user\",\n content: rebalanceContent,\n }],\n response_format: { type: \"json_object\" },\n });\n return new Response(completion.choices[0].message.content, {\n headers: { ...CORS_HEADERS, \"Content-Type\": \"application/json\" },\n });\n }\n case \"chat\": {\n const { messages, tasks, projects } = body;\n const systemMessage = { role: \"system\", content: CHAT_PROMPT };\n\n let conversation = [...messages];\n if (tasks && projects) {\n const contextMessage = {\n role: \"user\",\n content: `Here is the current state of my tasks and projects for your context:\\n\\nTASKS:\\n${\n JSON.stringify(tasks, null, 2)\n }\\n\\nPROJECTS:\\n${\n JSON.stringify(projects, null, 2)\n }\\n\\n(Now, please respond to the latest message in the conversation history below, keeping this context in mind.)`,\n };\n conversation.unshift(contextMessage);\n }\n\n const completion = await openai.chat.completions.create({\n model,\n messages: [systemMessage, ...conversation],\n });\n\n return new Response(JSON.stringify({ response: completion.choices[0].message }), {\n headers: { ...CORS_HEADERS, \"Content-Type\": \"application/json\" },\n });\n }\n default:\n throw new Error(\"Invalid action specified.\");\n }\n } catch (error) {\n console.error(\"AI API Error:\", error);\n return new Response(\n JSON.stringify({ error: error.message || \"An unknown error occurred with the AI service.\" }),\n {\n status: 500,\n headers: { ...CORS_HEADERS, \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n const html = generateHtmlShell(sourceUrl);\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } });\n}","deleted","label",[103],"permalink","https://www.val.town/x/legal/honeydew/code/main.tsx","extension","routes/embed","actionData","errors"]

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