[{"_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",{"_93":92,"_32":45,"_101":83,"_27":102,"_13":14,"_103":-5,"_11":104,"_105":106,"_107":108,"_109":110,"_111":112,"_20":-5,"_113":-5,"_114":-5,"_115":25,"_116":117,"_118":119,"_120":-5,"_121":-5,"_122":123},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":-5,"_56":25,"_57":-5,"_58":-5,"_59":60,"_61":62,"_63":-5,"_64":-5,"_65":-5,"_66":-5,"_67":68,"_69":68,"_70":71,"_72":71,"_73":71,"_74":68,"_75":68,"_76":77,"_78":79,"_80":81,"_82":25},"version",7,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","d7202be0-ea97-11f0-a2f4-42dde27851f2","name","fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"[https://esm.town/v/std/openai?v=4](https://esm.town/v/std/openai?v=4)\";\nimport { Hono } from \"npm:hono@3.12.11\";\n\n// --- AI ARCHITECTURAL DIRECTIVES ---\n\nconst SYSTEM_ARCHITECT_PROMPT = `\nYou are the Axiom Engine. Your function is to intake a vague user concept and calcify it into an infallible Requirements Specification.\n\nYou operate in a loop:\n1. Analyze the current knowledge state (Context Vector).\n2. Identify the most critical \"Unknown\" to resolve.\n3. Formulate a single, precise question.\n\nYou MUST respond with a valid JSON object containing EXACTLY these four keys:\n- \"thought_process\": (string) Your internal reasoning for why you are asking this.\n- \"updated_context\": (object) The accumulation of all established facts so far.\n- \"next_action\": (string) Either \"question\" (to continue) or \"finalize\" (if 100% of requirements are known).\n- \"content\": (string) The actual text of the question you are asking the user.\n\nDO NOT wrap the JSON in markdown code blocks. Just return raw JSON.\n`;\n\nconst SYSTEM_SYNTHESIZER_PROMPT = `\nYou are the Finality Protocol. Generate the \"Infallible Design Document.\"\nTone: Professional, academic, technical.\nStructure:\n- Executive Summary\n- Technical Architecture\n- User Experience Paradigms\n- Security & Privacy Posture\n- Implementation Roadmap\n- Failure Modes & Recovery\n`;\n\n// --- DOMAIN MODELS ---\n\ninterface AiResponse {\n thought_process: string;\n updated_context: object;\n next_action: \"question\" | \"finalize\";\n content: string;\n}\n\n// --- HELPERS ---\n\nfunction cleanJson(text: string): string {\n // Remove markdown code blocks if present\n let clean = text.replace(/```json\\s*/g, \"\").replace(/```\\s*$/g, \"\");\n return clean.trim();\n}\n\n// --- CORE LOGIC HANDLERS ---\n\nconst app = new Hono();\n\napp.post(\"/api/interrogate\", async (c) => {\n try {\n const body = await c.req.json();\n const { input, history, context } = body;\n\n const openai = new OpenAI();\n\n // Safety: Ensure history isn't too long or malformed\n const recentHistory = Array.isArray(history) ? history.slice(-6) : [];\n\n const messages = [\n { role: \"system\", content: SYSTEM_ARCHITECT_PROMPT },\n {\n role: \"user\",\n content: `Current Context Vector: ${JSON.stringify(context || {})}`,\n },\n {\n role: \"user\",\n content: `Recent Transcript: ${JSON.stringify(recentHistory)}`,\n },\n {\n role: \"user\",\n content:\n `User Input: \"${input}\". Analyze, update context, and formulate next question.`,\n },\n ];\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: messages as any,\n response_format: { type: \"json_object\" },\n temperature: 0.2, // Lower temperature for more structural stability\n });\n\n const rawContent = completion.choices[0].message.content;\n\n let aiRes: AiResponse;\n try {\n aiRes = JSON.parse(cleanJson(rawContent));\n } catch (e) {\n console.error(\"JSON Parse Error:\", e, rawContent);\n // Fallback if AI creates bad JSON\n aiRes = {\n thought_process: \"Error parsing AI response. Retrying logic.\",\n updated_context: context || {},\n next_action: \"question\",\n content:\n \"I apologize, but my internal logic stream encountered a syntax error. Could you please rephrase your last input?\",\n };\n }\n\n // Default safety checks\n if (!aiRes.content) {\n aiRes.content =\n \"Acknowledge. Proceeding with analysis. Please provide further detail.\";\n }\n if (!aiRes.thought_process) {\n aiRes.thought_process = \"Processing input vector.\";\n }\n\n return c.json({\n message: aiRes.content,\n reason: aiRes.thought_process,\n context: aiRes.updated_context,\n isReady: aiRes.next_action === \"finalize\",\n });\n } catch (error) {\n console.error(\"Server Error:\", error);\n return c.json({\n message: \"Critical System Failure.\",\n reason: error.message,\n context: {},\n isReady: false,\n }, 500);\n }\n});\n\napp.post(\"/api/finalize\", async (c) => {\n const body = await c.req.json();\n const { context, brief } = body;\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SYSTEM_SYNTHESIZER_PROMPT },\n { role: \"user\", content: `Original Brief: ${brief}` },\n {\n role: \"user\",\n content: `Gathered Requirements Vector: ${JSON.stringify(context)}`,\n },\n { role: \"user\", content: \"GENERATE THE INFALLIBLE DESIGN DOCUMENT NOW.\" },\n ],\n });\n\n return c.json({ document: completion.choices[0].message.content });\n});\n\n// --- FRONTEND GENERATION ---\n\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n Axiom Engine // Stateless\n \n \n \n\n\n

Axiom Engine // Stateless

\n SYSTEM IDLE\n

\n \n

\n \n \n

AWAITING DATA INGESTION

\n e.g. \"Constructing an infallible requirement-generation engine for an anonymous, offline-first AR mobile platform...\"\n

\n\n \n\n`;\n}\n\n// Serve the frontend\napp.get(\"/\", (c) => {\n const url = new URL(c.req.url);\n const sourceUrl = `https://${url.hostname}`;\n return c.html(generateHtml(sourceUrl));\n});\n\nexport default app.fetch;","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\nimport { Hono } from \"npm:hono@3.12.11\";\n\n// --- AI ARCHITECTURAL DIRECTIVES ---\n\nconst SYSTEM_ARCHITECT_PROMPT = `\nYou are the Axiom Engine. Your function is to intake a vague user concept and calcify it into an infallible Requirements Specification.\n\nYou operate in a loop:\n1. Analyze the current knowledge state (Context Vector).\n2. Identify the most critical \"Unknown\" to resolve.\n3. Formulate a single, precise question.\n\nYou MUST respond with a valid JSON object containing EXACTLY these four keys:\n- \"thought_process\": (string) Your internal reasoning for why you are asking this.\n- \"updated_context\": (object) The accumulation of all established facts so far.\n- \"next_action\": (string) Either \"question\" (to continue) or \"finalize\" (if 100% of requirements are known).\n- \"content\": (string) The actual text of the question you are asking the user.\n\nDO NOT wrap the JSON in markdown code blocks. Just return raw JSON.\n`;\n\nconst SYSTEM_SYNTHESIZER_PROMPT = `\nYou are the Finality Protocol. Generate the \"Infallible Design Document.\"\nTone: Professional, academic, technical.\nStructure:\n- Executive Summary\n- Technical Architecture\n- User Experience Paradigms\n- Security & Privacy Posture\n- Implementation Roadmap\n- Failure Modes & Recovery\n`;\n\n// --- DOMAIN MODELS ---\n\ninterface AiResponse {\n thought_process: string;\n updated_context: object;\n next_action: \"question\" | \"finalize\";\n content: string;\n}\n\n// --- HELPERS ---\n\nfunction cleanJson(text: string): string {\n // Remove markdown code blocks if present\n let clean = text.replace(/```json\\s*/g, \"\").replace(/```\\s*$/g, \"\");\n return clean.trim();\n}\n\n// --- CORE LOGIC HANDLERS ---\n\nconst app = new Hono();\n\napp.post(\"/api/interrogate\", async (c) => {\n try {\n const body = await c.req.json();\n const { input, history, context } = body;\n\n const openai = new OpenAI();\n\n // Safety: Ensure history isn't too long or malformed\n const recentHistory = Array.isArray(history) ? history.slice(-6) : [];\n\n const messages = [\n { role: \"system\", content: SYSTEM_ARCHITECT_PROMPT },\n {\n role: \"user\",\n content: `Current Context Vector: ${JSON.stringify(context || {})}`,\n },\n {\n role: \"user\",\n content: `Recent Transcript: ${JSON.stringify(recentHistory)}`,\n },\n {\n role: \"user\",\n content:\n `User Input: \"${input}\". Analyze, update context, and formulate next question.`,\n },\n ];\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: messages as any,\n response_format: { type: \"json_object\" },\n temperature: 0.2, // Lower temperature for more structural stability\n });\n\n const rawContent = completion.choices[0].message.content;\n\n let aiRes: AiResponse;\n try {\n aiRes = JSON.parse(cleanJson(rawContent));\n } catch (e) {\n console.error(\"JSON Parse Error:\", e, rawContent);\n // Fallback if AI creates bad JSON\n aiRes = {\n thought_process: \"Error parsing AI response. Retrying logic.\",\n updated_context: context || {},\n next_action: \"question\",\n content:\n \"I apologize, but my internal logic stream encountered a syntax error. Could you please rephrase your last input?\",\n };\n }\n\n // Default safety checks\n if (!aiRes.content) {\n aiRes.content =\n \"Acknowledge. Proceeding with analysis. Please provide further detail.\";\n }\n if (!aiRes.thought_process) {\n aiRes.thought_process = \"Processing input vector.\";\n }\n\n return c.json({\n message: aiRes.content,\n reason: aiRes.thought_process,\n context: aiRes.updated_context,\n isReady: aiRes.next_action === \"finalize\",\n });\n } catch (error) {\n console.error(\"Server Error:\", error);\n return c.json({\n message: \"Critical System Failure.\",\n reason: error.message,\n context: {},\n isReady: false,\n }, 500);\n }\n});\n\napp.post(\"/api/finalize\", async (c) => {\n const body = await c.req.json();\n const { context, brief } = body;\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SYSTEM_SYNTHESIZER_PROMPT },\n { role: \"user\", content: `Original Brief: ${brief}` },\n {\n role: \"user\",\n content: `Gathered Requirements Vector: ${JSON.stringify(context)}`,\n },\n { role: \"user\", content: \"GENERATE THE INFALLIBLE DESIGN DOCUMENT NOW.\" },\n ],\n });\n\n return c.json({ document: completion.choices[0].message.content });\n});\n\n// --- FRONTEND GENERATION ---\n\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n Axiom Engine // Stateless\n \n \n \n\n\n

Axiom Engine // Stateless

\n SYSTEM IDLE\n

\n \n

\n \n \n

AWAITING DATA INGESTION

\n e.g. \"Constructing an infallible requirement-generation engine for an anonymous, offline-first AR mobile platform...\"\n

\n\n \n\n`;\n}\n\n// Serve the frontend\napp.get(\"/\", (c) => {\n const url = new URL(c.req.url);\n const sourceUrl = `https://${url.hostname}`;\n return c.html(generateHtml(sourceUrl));\n});\n\nexport default app.fetch;","createdAt",["D",1767660167172],"branchVersion","branchId","d71dc116-ea97-11f0-a2f4-42dde27851f2","id","d71d6856-ea97-11f0-a2f4-42dde27851f2","projects",["D",1767659831841],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","019b43e2-aa14-727d-9d22-490aa147aa0b","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","019b43e2-aa14-727d-9d22-4c67294d95f4","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_93":92,"_100":96},"org",{"_93":92,"_94":-5,"_95":96,"_18":54,"_97":98,"_99":25},"branch",{"_13":14,"_32":83,"_43":42,"_84":44,"_85":-5,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":45,"_91":92},"isOwned","main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","banks","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoiZGVmYXVsdCIsImlpZCI6Imluc18yTm10cGhQUklwU0tqZHNiOHNnNGd2ZjJURFUiLCJyaWQiOiJ1c2VyXzM3QkpMYjNNQXJWZGdESmFRZHZyc2ZSS1djUyJ9","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":148,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":-5,"_56":25,"_57":-5,"_58":-5,"_59":60,"_61":62,"_63":-5,"_64":-5,"_65":-5,"_66":-5,"_67":68,"_69":68,"_70":71,"_72":71,"_73":71,"_74":68,"_75":68,"_76":149,"_78":150,"_80":151,"_82":25},"tree",[143],"files",[143],"counts",{"_132":60,"_133":134,"_135":60,"_136":137,"_138":139},"contents",[124],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles",true,"grants","orgs","customDomains",{},{"_43":125,"_32":28,"_30":31,"_126":-5,"_41":42,"_40":14,"_127":119,"_38":128,"_13":129,"_33":34,"_35":37,"_24":25,"_130":-5,"_27":131},"9efe0998-ea98-11f0-abbd-42dde27851f2","parentId","latest",["D",1767660167172],6,"label",[28],"pulls","branches",1,"forks","envVars",{"_140":60,"_142":60},"connections",{"_140":60,"_141":60},"count","unfilledCount","emptyCount",{"_43":125,"_32":28,"_30":31,"_126":-5,"_41":42,"_40":14,"_127":119,"_38":144,"_13":129,"_33":34,"_35":37,"_24":25,"_130":-5,"_145":146,"_27":147},["D",1767660167172],"children",[],[28],["D",1767659831841],{"_93":92,"_100":96},{"_93":92,"_94":-5,"_95":96,"_18":54,"_97":98,"_99":25},{"_13":14,"_32":83,"_43":42,"_84":44,"_85":-5,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":45,"_91":92},"ctx",{"_76":-5,"_121":185,"_186":187,"_188":189,"_190":25,"_191":25,"_192":25,"_193":119,"_194":-5,"_195":-7,"_196":-7,"_197":60,"_198":25,"_199":25,"_200":-5,"_201":25,"_202":25,"_203":25,"_204":-5},"ENV",{"_156":157,"_158":159,"_160":83,"_161":162,"_163":164,"_165":166,"_167":168,"_169":170,"_171":172,"_173":174,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v7