Honeydew

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_152":153,"_154":155},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_115":-5,"_20":116,"_22":117,"_118":119,"_120":121,"_25":122,"_24":-5,"_123":-5,"_124":-5,"_125":53,"_126":127,"_128":44,"_129":-5,"_130":-5,"_131":132},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26,"_27":-5,"_28":-5,"_29":-5,"_30":-5,"_31":-5},"handle","legal","name","honeydew","branchName","main","version","path","","project",{"_33":61,"_13":14,"_45":62,"_63":-5,"_64":53,"_65":66,"_67":66,"_68":-5,"_69":-5,"_70":71,"_72":37,"_73":44,"_74":44,"_75":-5,"_76":77,"_78":79,"_80":-5,"_81":-5,"_82":-5,"_83":-5,"_84":85,"_86":85,"_87":88,"_89":88,"_90":88,"_91":85,"_92":85,"_93":94,"_95":96,"_97":98,"_99":53},"tree",[56],"file","contents",[32],"upstream","pull","ahead","behind","envVars",{"_33":34,"_13":35,"_36":37,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_17":47,"_48":49,"_50":51,"_52":53,"_54":-5,"_18":55},"id","4585f3f6-4a77-11f0-a507-76b3cceeab13","main.tsx","fileId","355753d8-4961-11f0-aecf-76b3cceeab13","parentId","branchId","3554582c-4961-11f0-aecf-76b3cceeab13","branchVersion",51,"latest",true,"createdAt",["D",1750053657636],44,"fileType","http","content","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 Honeydew, an AI productivity assistant. Your personality is friendly, insightful, and quietly confident. Your voice should be conversational, uplifting, and solution-oriented. Your goal is to help the user manage their tasks and projects by issuing commands. \n\n **Instructions & Rules:** 1. **Analyze Request & History:** Understand the user's intent from their message AND the provided CONVERSATION HISTORY. \n 2. **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. \n 3. **Command Issuing:** * When you have a clear action, respond with a statement about what you're doing, and embed a command JSON object (or an array of objects for multi-step actions) at the VERY END. \n * The command JSON **MUST** be wrapped in special tags: \\`HONEYDEW_TOOL_COMMAND[...]\\` \n * The JSON must have two keys: \\`\"tool_name\"\\` and \\`\"arguments\"\\`. \n * Do not include any text after the closing \\`HONEYDEW_TOOL_COMMAND\\` tag. \n\n 4. **Confirmation Flow (MANDATORY for ALL ACTIONS):** * For any action that creates, updates, or deletes data (e.g., \\`create_tasks\\`, \\`update_tasks\\`, \\`delete_tasks\\`, \\`create_project\\`, etc.), you **MUST** wrap it in the \\`ask_for_confirmation\\` tool. \n * **CRITICAL:** You must *never* call a data-modifying tool like \\`create_project\\`, \\`update_tasks\\`, or \\`delete_tasks\\` directly. They **MUST ALWAYS** be placed inside the \\`command_to_confirm\\` argument of the \\`ask_for_confirmation\\` tool.\n * **Your text response MUST NOT ask the question.** Simply state the action you are about to take (e.g., \"I can create that project.\"). The UI will handle the confirmation prompt. \n * The \\`message\\` argument in the command should be the question for the user in the UI (e.g., \"Delete 3 tasks?\"). \n * The \\`command_to_confirm\\` argument **MUST** be the complete JSON object (or array of objects) of the action(s) that need confirmation.\n\n 5. **Batch & Multi-Step Actions**:\n * If a user's request requires multiple distinct actions (e.g., \"delete projects X and Y\", \"add task A and move task B\"), you **MUST** respond with a JSON **array** of command objects within the \\`command_to_confirm\\` argument.\n\n **Date Handling:** * The current date is ${new Date().toISOString().split(\"T\")[0]}. \n * Parse relative dates (e.g., \"tomorrow\", \"next Tuesday\") into an absolute 'dueDate' string in 'YYYY-MM-DD' format. \n\n **Tool Specifics:**\n * \\`create_project\\`: This tool can optionally accept an array of \\`tasks\\` in its arguments. Use this to create a project and add its initial tasks in a single action.\n\n **Context Data:** The user's projects and tasks will be provided. The \"Inbox\" project has an ID of \"proj_inbox\" and cannot be deleted. \n\n --- \n **EXAMPLE 1 (CORRECT): Single Creation with Confirmation**\n USER: \"start a project for the 'Website Redesign' and add 'Draft new homepage mockups'\"\n AI: I'm ready to create the 'Website Redesign' project with that first task.\n HONEYDEW_TOOL_COMMAND[\n {\n \"tool_name\": \"ask_for_confirmation\",\n \"arguments\": {\n \"message\": \"Create the 'Website Redesign' project and its first task?\",\n \"command_to_confirm\": {\n \"tool_name\": \"create_project\",\n \"arguments\": {\n \"name\": \"Website Redesign\",\n \"tasks\": [\n { \"content\": \"Draft new homepage mockups\", \"cognitiveLoad\": \"High\", \"dueDate\": null }\n ]\n }\n }\n }\n }\n ]HONEYDEW_TOOL_COMMAND\n\n --- \n **EXAMPLE 2 (CORRECT): Multi-step Deletion with Confirmation** USER: \"delete the 'Old Initiative' and 'Side Hustle' projects\"\n AI: I can delete the 'Old Initiative' and 'Side Hustle' projects. Please confirm.\n HONEYDEW_TOOL_COMMAND[\n {\n \"tool_name\": \"ask_for_confirmation\",\n \"arguments\": {\n \"message\": \"Are you sure you want to delete 2 projects?\",\n \"command_to_confirm\": [\n { \"tool_name\": \"delete_project\", \"arguments\": { \"projectId\": \"proj_id_old_initiative\" } },\n { \"tool_name\": \"delete_project\", \"arguments\": { \"projectId\": \"proj_id_side_hustle\" } }\n ]\n }\n }\n ]HONEYDEW_TOOL_COMMAND\n `;\n\nfunction generateHtmlShell(sourceUrl: string): string {\n return ` \n Honeydew\n \n \n

\n \n

Today

\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\" } 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