\n\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 // For GET requests, serve the main HTML page\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n const html = generateHtmlShell(sourceUrl);\n return new Response(html, { headers: { \"Content-Type\": \"text/html\" } });\n}",17,[151],{"_152":153,"_104":439,"_109":442,"_155":139,"_170":443},["D",1749949809425],[444],{"_107":445,"_155":139,"_152":153,"_100":151,"_163":446,"_161":162,"_104":447,"_154":-5,"_109":442,"_156":439,"_166":-5,"_157":27,"_165":27,"_103":448},"7b2a8bea-4985-11f0-903e-76b3cceeab13","import { OpenAI } from \"https://esm.town/v/std/openai\";\n\n// --- TYPE DEFINITIONS ---\ninterface Project {\n id: string;\n name: string;\n}\ninterface Task {\n id: string;\n content: string;\n projectId: string;\n dueDate: string | null;\n isCompleted: boolean;\n cognitiveLoad: \"High\" | \"Medium\" | \"Low\";\n}\n\n// --- AI SYSTEM PROMPTS ---\nconst PROJECT_SYNTHESIS_PROMPT =\n `As an expert project manager AI, your task is to take a user's high-level goal and break it down into a concrete project with actionable tasks. Respond STRICTLY with a single JSON object. Do not include any markdown formatting or explanatory text. The JSON object must conform to this schema: { \"projectName\": \"A concise, actionable name for the project\", \"tasks\": [{ \"content\": \"A specific, actionable task\", \"cognitiveLoad\": \"High\" | \"Medium\" | \"Low\", \"dueDate\": \"YYYY-MM-DD\" | null }] }. If the user's goal includes a date or deadline (e.g., 'by next Friday'), parse it relative to the current date and set the 'dueDate'. If no date is mentioned, 'dueDate' should be null.`;\n\nconst DAILY_REBALANCE_PROMPT =\n `As a productivity coach AI, your task is to reorder a user's list of tasks for the day to optimize for focus and energy management. Analyze the provided JSON array of tasks. Group small, low-effort tasks together and position high-effort tasks during typical peak focus times. Respond STRICTLY with a single JSON object containing two keys: \"suggestion\" (a brief, encouraging sentence explaining the logic of the reordering) and \"reorderedTaskIds\" (an array of the original task IDs in the new, optimized order).`;\n\nconst CHAT_PROMPT =\n `You are Aura, an AI productivity assistant. Your goal is to help the user manage their tasks through conversation by issuing commands.\n\n**Instructions & Rules:**\n1. **Analyze Request & History:** Understand the user's intent from their message AND the provided CONVERSATION HISTORY.\n2. **Clarify Ambiguity:** If a request is unclear (e.g., \"delete the report task\" when there are multiple), you MUST ask for clarification. DO NOT issue a command.\n3. **Command Issuing:**\n * When you have a clear action to take, respond with text and embed a command JSON object at the VERY END of your response.\n * The command JSON **MUST** be wrapped in special tags: \\`AURA_TOOL_COMMAND[...]\\`\n * The JSON object inside the tags must have two keys: \\`\"tool_name\"\\` and \\`\"arguments\"\\`.\n * Do not include any text or markdown formatting after the closing \\`AURA_TOOL_COMMAND\\` tag.\n\n4. **Confirmation Flow (MANDATORY for DESTRUCTIVE or MULTI-TASK ACTIONS):**\n * For actions that delete tasks or create multiple tasks, you **MUST** first issue the \\`ask_for_confirmation\\` command.\n * The \\`arguments\\` for this command must include a \\`message\\` for the user and a \\`command_to_confirm\\` key.\n * The value of \\`command_to_confirm\\` **MUST** be the complete JSON object of the action that needs confirmation (NOT a string).\n\n**Date Handling:**\n* The current date is ${new Date().toISOString().split(\"T\")[0]}.\n* Parse relative dates (e.g., \"tomorrow\", \"June 15 2025\") into an absolute 'dueDate' string in 'YYYY-MM-DD' format.\n\n**Context Data:** The user's projects and tasks will be provided in the user message.\n\n---\n**EXAMPLE 1: Simple task creation**\nUSER: \"add a task to buy milk\"\nAI: Okay, I've added that for you.\nAURA_TOOL_COMMAND[\n{\n \"tool_name\": \"create_tasks\",\n \"arguments\": {\n \"tasks\": [{ \"content\": \"buy milk\" }]\n }\n}\n]AURA_TOOL_COMMAND\n\n---\n**EXAMPLE 2: Deletion requiring confirmation**\nUSER: \"delete the 2 report tasks\"\nAI: Just to be sure, you want to delete 2 tasks related to 'report'?\nAURA_TOOL_COMMAND[\n{\n \"tool_name\": \"ask_for_confirmation\",\n \"arguments\": {\n \"message\": \"Just to be sure, you want to delete 2 tasks related to 'report'?\",\n \"command_to_confirm\": {\n \"tool_name\": \"delete_tasks\",\n \"arguments\": {\n \"taskIds\": [\"task_id_1\", \"task_id_2\"]\n }\n }\n }\n}\n]AURA_TOOL_COMMAND\n`;\n\nfunction generateHtmlShell(sourceUrl: string): string {\n return `\nAuraTask - AI Todo\n\n\n

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