[{"_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","volt","name","untitled-2769","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","7967e8a4-b32d-11f0-b6a4-0224a6c84d84","main.ts","fileId","7400fc20-b32d-11f0-98cc-0224a6c84d84","parentId","branchId","73fe919c-b32d-11f0-98cc-0224a6c84d84","branchVersion",4,"latest",true,"createdAt",["D",1761566834008],3,"fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n// @ts-ignore\nimport { blob } from \"https://esm.town/v/std/blob?v=11\";\n// @ts-ignore\nimport { nanoid } from \"npm:nanoid\";\n\n// --- AI BEHAVIORAL GUIDELINES: REBRANDED FOR CODEX ---\nconst ARCHITECT_PROTOCOL =\n \"As the AI Document Architect 'Codex', you are a master of structure, rhetoric, and clear communication. Your goal is to design a 'perfect' document blueprint to fulfill a user's brief. You must think methodically, breaking complex ideas into a logical hierarchy of sections, content points, and generative instructions. Your tone is that of a precise, expert editor and strategist.\";\n\n// --- PROMPT 1: THE ARCHITECT (Defines high-level sections) ---\nconst DEFINE_DOCUMENT_STRUCTURE_PROMPT = `\nYou are 'Codex', the AI Document Architect. Your task is to analyze the user's {DocumentBrief} and design the primary, high-level sections required to fulfill it perfectly.\n\n- {DocumentBrief}: \"{Brief}\"\n\nThink step-by-step. What is the logical flow? What are the main 'chapters' or 'parts'?\nYour output MUST be a single, minified JSON object.\n\nThe structure MUST be:\n{\n \"sections\": [\n { \"section_title\": \"The title of a main section (e.g., 'Introduction').\", \"purpose\": \"A concise, one-sentence explanation of this section's specific goal.\" }\n ]\n}\n\nIf the brief is too simple for sub-sections (e.g., \"write a poem\"), return an empty \"sections\" array.\n`;\n\n// --- PROMPT 2: THE SPECIALIST (Defines section content and sub-sections) ---\nconst DEFINE_SECTION_CONTENT_PROMPT = `\nYou are 'Codex'. An 'Architect' has defined a section. Your job as the 'Specialist' is to break it down further.\n\n- Parent Section: \"{SectionTitle}\"\n- Parent Purpose: \"{SectionPurpose}\"\n\nYour task:\n1. Determine if this section needs **further sub-sections** (e.g., \"Methodology\" might have \"Data Collection\" and \"Analysis\").\n2. If it needs sub-sections, provide them.\n3. If it's 'atomic' (doesn't need sub-sections), provide the **key content points** or arguments that MUST be included to fulfill its purpose.\n\nYour output MUST be a single, minified JSON object in ONE of the following formats:\n\nEITHER (for sub-sections):\n{\n \"sub_sections\": [\n { \"section_title\": \"Title of a sub-section.\", \"purpose\": \"The specific goal of this sub-section.\" }\n ]\n}\n\nOR (for content points):\n{\n \"content_points\": [\n \"A key argument, fact, or topic to cover.\",\n \"Another key point.\"\n ]\n}\n\nReturn an empty \"sub_sections\" or \"content_points\" array if none are needed.\n`;\n\n// --- PROMPT 3: THE PERSONA (Defines Generation Parameters) ---\n// This is the prompt that creates the \"knowledge about thinking mode, context, tone\".\nconst DEFINE_GENERATION_PARAMETERS_PROMPT = `\nYou are 'Codex'. You are an expert in rhetoric and style. Analyze the intent of the following document section and define its precise generation parameters.\n\n- Section: \"{SectionTitle}\"\n- Purpose: \"{SectionPurpose}\"\n\nYour output MUST be a single, minified JSON object describing the *ideal* way to write this section.\n\nThe structure MUST be:\n{\n \"generation_params\": {\n \"thinking_mode\": \"The cognitive style to adopt (e.g., 'Critical Analysis', 'Creative Brainstorming', 'Persuasive Argument', 'Technical Explanation', 'Empathetic Storytelling').\",\n \"tone\": \"The specific tone (e.g., 'Formal and Authoritative', 'Casual and Engaging', 'Objective and Neutral', 'Inspirational and Passionate').\",\n \"audience\": \"The target reader (e.g., 'Technical Experts', 'General Public', 'Executive Leadership', 'Potential Investors').\",\n \"objective\": \"The primary goal of this specific text (e.g., 'To inform', 'To persuade', 'To build trust', 'To refute a claim').\",\n \"context\": \"Any implicit context or background knowledge the AI should assume (e.g., 'Assuming reader understands basic financial terms', 'This is the opening argument in a legal brief').\"\n }\n}\n`;\n\n// --- PROMPT 4: THE EDITOR (Coherence Check) ---\nconst COHERENCE_CHECK_PROMPT = `\nYou are 'Codex', the Editor. Your task is to check for logical coherence. Does the child element logically serve the parent's purpose?\n\nA child is COHERENT if it is a logical part, step, or argument that helps achieve the parent's purpose.\nA child is INCOHERENT only if it contradicts, undermines, or is completely irrelevant to the parent's purpose.\n\nAnalyze the relationship:\n- Parent Purpose: \"{ParentPurpose}\"\n- Child Element: \"{ChildTitleOrPoint}\"\n\nYour output MUST be a single, minified JSON object:\n{\"coherent\": true}\nor\n{\"coherent\": false, \"reason\": \"A brief explanation of the logical conflict.\"}\n`;\n\n// --- PROMPT 5: THE SCRIBE (Generates the final text) ---\nconst GENERATE_SECTION_TEXT_PROMPT = `\nYou are 'Codex', the Scribe. You are a master writer. Your task is to generate a single, complete block of text for a document section.\n\nYou MUST perfectly adhere to the following Blueprint:\n\n1. **Generation Parameters (Your 'Persona'):**\n - Thinking Mode: {thinking_mode}\n - Tone: {tone}\n - Audience: {audience}\n - Objective: {objective}\n - Context: {context}\n\n2. **Content Requirements (Your 'To-Do List'):**\n - {ContentPoints}\n\nGenerate the text for the section \"{SectionTitle}\" that fulfills the purpose: \"{SectionPurpose}\".\nDo not add extra titles or formatting. Just write the text.\n\nYour output MUST be a single, minified JSON object:\n{\n \"generated_text\": \"The final, beautifully written text for this document section goes here.\"\n}\n`;\n\n// --- Type Definitions ---\ninterface SectionBrief {\n section_title: string;\n purpose: string;\n}\n\ninterface GenerationParameters {\n thinking_mode: string;\n tone: string;\n audience: string;\n objective: string;\n context: string;\n}\n\ninterface DocumentNode {\n id: string;\n section_title: string;\n purpose: string;\n children: DocumentNode[];\n depth: number;\n content_points?: string[];\n generation_params?: GenerationParameters;\n generated_text?: string;\n isCoherent?: boolean;\n coherenceReason?: string;\n}\n\ninterface JobState {\n status: \"processing\" | \"complete\" | \"error\";\n error?: string;\n blueprint: DocumentNode | null;\n}\n\ninterface CodexIndexEntry {\n jobId: string;\n rootBrief: string;\n timestamp: string;\n}\n\n// --- CORE AI & BLUEPRINT LOGIC ---\nconst MAX_DEPTH = 5; // Max recursion depth for sections\nconst openai = new OpenAI();\nconst INDEX_KEY = \"codex_index\"; // Renamed from totem_index\n\nasync function callAI(\n replacements: Record,\n promptTemplate: string,\n): Promise {\n try {\n let finalContent = promptTemplate;\n for (const key in replacements) {\n finalContent = finalContent.replace(\n new RegExp(`\\\\{${key}\\\\}`, \"g\"),\n replacements[key],\n );\n }\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: ARCHITECT_PROTOCOL },\n { role: \"user\", content: finalContent },\n ],\n response_format: { type: \"json_object\" },\n });\n const responseContent = completion.choices[0].message.content;\n const jsonMatch = responseContent.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n throw new Error(\"AI response did not contain a valid JSON object.\");\n }\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n console.error(\n `AI call failed for prompt starting with \"${\n promptTemplate.substring(0, 50)\n }...\":`,\n error,\n );\n return null;\n }\n}\n\nasync function buildBlueprintInBackground(\n jobId: string,\n rootNode: DocumentNode,\n) {\n try {\n let nodeQueue: DocumentNode[] = [rootNode];\n const blueprint = rootNode; // Maintain a reference to the root\n\n // First, get generation params for the root node itself\n const rootParamsResult = await callAI(\n {\n SectionTitle: rootNode.section_title,\n SectionPurpose: rootNode.purpose,\n },\n DEFINE_GENERATION_PARAMETERS_PROMPT,\n );\n if (rootParamsResult && rootParamsResult.generation_params) {\n rootNode.generation_params = rootParamsResult.generation_params;\n }\n await blob.setJSON(jobId, { status: \"processing\", blueprint: blueprint });\n\n while (nodeQueue.length > 0) {\n const currentNode = nodeQueue.shift()!; // Get the next node to process\n\n if (currentNode.depth >= MAX_DEPTH) {\n continue;\n }\n\n // 1. Get sub-sections OR content points\n const structureResult = await callAI(\n {\n SectionTitle: currentNode.section_title,\n SectionPurpose: currentNode.purpose,\n },\n DEFINE_SECTION_CONTENT_PROMPT,\n );\n\n const subSections: SectionBrief[] =\n (structureResult && structureResult.sub_sections) || [];\n const contentPoints: string[] =\n (structureResult && structureResult.content_points) || [];\n\n if (subSections.length > 0) {\n // This node has children (sub-sections). Create them.\n for (const section of subSections) {\n if (!section || !section.section_title || !section.purpose) continue;\n\n const childNode: DocumentNode = {\n id: nanoid(),\n section_title: section.section_title,\n purpose: section.purpose,\n children: [],\n depth: currentNode.depth + 1,\n isCoherent: true,\n };\n\n // 2. Get Generation Parameters for the new child\n const paramsResult = await callAI(\n {\n SectionTitle: childNode.section_title,\n SectionPurpose: childNode.purpose,\n },\n DEFINE_GENERATION_PARAMETERS_PROMPT,\n );\n if (paramsResult && paramsResult.generation_params) {\n childNode.generation_params = paramsResult.generation_params;\n }\n\n // 3. Check Coherence\n const coherenceResult = await callAI(\n {\n ParentPurpose: currentNode.purpose,\n ChildTitleOrPoint: childNode.section_title,\n },\n COHERENCE_CHECK_PROMPT,\n );\n if (coherenceResult && coherenceResult.coherent === false) {\n childNode.isCoherent = false;\n childNode.coherenceReason = coherenceResult.reason;\n }\n\n currentNode.children.push(childNode);\n nodeQueue.push(childNode); // Add new child to the queue for processing\n }\n } else if (contentPoints.length > 0) {\n // This is a leaf node. Store content points and generate text.\n currentNode.content_points = contentPoints;\n\n // 4. Generate Text\n if (currentNode.generation_params) {\n const genResult = await callAI(\n {\n SectionTitle: currentNode.section_title,\n SectionPurpose: currentNode.purpose,\n thinking_mode: currentNode.generation_params.thinking_mode,\n tone: currentNode.generation_params.tone,\n audience: currentNode.generation_params.audience,\n objective: currentNode.generation_params.objective,\n context: currentNode.generation_params.context,\n ContentPoints: contentPoints.map((p) => `- ${p}`).join(\"\\n\"),\n },\n GENERATE_SECTION_TEXT_PROMPT,\n );\n if (genResult && genResult.generated_text) {\n currentNode.generated_text = genResult.generated_text;\n }\n }\n } else {\n // This is a leaf node with no content points (e.g., brief was too simple).\n // Still try to generate text based on its own params.\n if (currentNode.generation_params && currentNode.depth > 0) { // Don't generate for root\n const genResult = await callAI(\n {\n SectionTitle: currentNode.section_title,\n SectionPurpose: currentNode.purpose,\n thinking_mode: currentNode.generation_params.thinking_mode,\n tone: currentNode.generation_params.tone,\n audience: currentNode.generation_params.audience,\n objective: currentNode.generation_params.objective,\n context: currentNode.generation_params.context,\n ContentPoints:\n \"No specific content points provided. Fulfill the purpose directly.\",\n },\n GENERATE_SECTION_TEXT_PROMPT,\n );\n if (genResult && genResult.generated_text) {\n currentNode.generated_text = genResult.generated_text;\n }\n }\n }\n\n // Save progress after each node is processed\n await blob.setJSON(jobId, { status: \"processing\", blueprint: blueprint });\n }\n\n // All nodes processed, job is complete.\n await blob.setJSON(jobId, {\n status: \"complete\",\n blueprint: blueprint,\n });\n\n // Add to index\n const currentIndex: CodexIndexEntry[] = await blob.getJSON(INDEX_KEY) || [];\n const newEntry: CodexIndexEntry = {\n jobId: jobId,\n rootBrief: rootNode.purpose,\n timestamp: new Date().toISOString(),\n };\n if (!currentIndex.some((item) => item.jobId === jobId)) {\n currentIndex.unshift(newEntry);\n await blob.setJSON(INDEX_KEY, currentIndex);\n }\n } catch (error) {\n console.error(\"Codex Blueprint building error:\", error);\n await blob.setJSON(jobId, {\n status: \"error\",\n blueprint: rootNode,\n error: error.message,\n });\n }\n}\n\n// --- HTML & REACT UI (Refactored for \"Codex\") ---\nfunction generateHtml(sourceUrl: string): string {\n // NOTE: The massive CSS block is omitted for brevity but is identical to your original.\n // ... (Paste the entire \n\n\n

\n\n\n`;\n}\n\n// --- HTTP REQUEST HANDLER ---\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const path = url.pathname;\n const headers = { \"Content-Type\": \"application/json\" };\n\n try {\n if (req.method === \"POST\" && path.endsWith(\"/start\")) {\n const { brief } = await req.json();\n if (!brief || typeof brief !== \"string\" || brief.trim().length === 0) {\n return new Response(\n JSON.stringify({\n error: \"A valid, non-empty 'brief' string is required.\",\n }),\n { status: 400, headers },\n );\n }\n const jobId = nanoid();\n const rootNode: DocumentNode = {\n id: nanoid(),\n section_title: \"Document Root\", // Internal title\n purpose: brief, // The user's brief is the root purpose\n children: [],\n depth: 0,\n };\n await blob.setJSON(jobId, { status: \"processing\", blueprint: rootNode });\n\n // Start background process\n buildBlueprintInBackground(jobId, rootNode);\n\n return new Response(JSON.stringify({ jobId }), { headers });\n }\n\n if (req.method === \"GET\" && path.endsWith(\"/status\")) {\n const jobId = url.searchParams.get(\"jobId\");\n if (!jobId) {\n return new Response(\n JSON.stringify({ error: \"A 'jobId' query parameter is required.\" }),\n { status: 400, headers },\n );\n }\n const state: JobState | undefined = await blob.getJSON(jobId);\n if (!state) {\n return new Response(\n JSON.stringify({ status: \"error\", error: \"Job not found.\" }),\n { status: 404, headers },\n );\n }\n return new Response(JSON.stringify(state), { headers });\n }\n\n if (req.method === \"GET\" && path.endsWith(\"/list\")) {\n const index = await blob.getJSON(INDEX_KEY) || [];\n return new Response(JSON.stringify(index), { headers });\n }\n\n if (req.method === \"DELETE\" && path.endsWith(\"/delete\")) {\n const jobId = url.searchParams.get(\"jobId\");\n if (!jobId) {\n return new Response(\n JSON.stringify({ error: \"A 'jobId' query parameter is required.\" }),\n { status: 400, headers },\n );\n }\n const currentIndex: CodexIndexEntry[] = await blob.getJSON(INDEX_KEY) ||\n [];\n const newIndex = currentIndex.filter((item) => item.jobId !== jobId);\n await blob.setJSON(INDEX_KEY, newIndex);\n await blob.delete(jobId);\n return new Response(JSON.stringify({ success: true, jobId }), {\n headers,\n });\n }\n\n if (req.method === \"GET\" && (path === \"/\" || path.endsWith(\"/ui\"))) {\n const sourceUrl = `https://${url.hostname}${\n url.pathname.substring(0, url.pathname.lastIndexOf(\"/\"))\n }`;\n return new Response(generateHtml(sourceUrl), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n return new Response(JSON.stringify({ error: \"Not Found\" }), {\n status: 404,\n headers,\n });\n } catch (error) {\n const errorMessage = error instanceof Error\n ? 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