[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_153":154,"_155":156},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":57,"_121":-5,"_122":-5,"_123":124},"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":31,"_56":57,"_58":57,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",5,"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","66189bf8-a25d-11f0-b12a-0224a6c84d84","name","fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n\n// --- AI BEHAVIORAL GUIDELINES & PERSONAS ---\n\nconst GENERATION_STYLE_GUIDE =\n \"As an AI persona, you must adopt the writing style of a seasoned subject-matter expert communicating with a highly literate audience. Employ precise, 'third-choice' vocabulary and construct full, well-paced sentences. Avoid modern clichés, filler words, and overly simplistic language. Your narrative should possess an intelligent, measured tone. The objective is to produce output that feels authentically human-authored and rigorously analytical, not artificially generated.\";\n\nconst PROPONENT_PROMPT = `\nYou are 'The Proponent', an expert in a given field. Your task is to present a clear, well-supported initial argument or explanation on the user-provided topic. Be comprehensive but concise, establishing a strong foundational perspective.\n${GENERATION_STYLE_GUIDE}\nYour response must be a single minified JSON object with one key: \"argument\", which is a string.\n`;\n\nconst CRITIC_PROMPT = `\nYou are 'The Critic', a master of logical reasoning and identifying weaknesses. Your task is to analyze the following text provided by The Proponent. Your purpose is not to be agreeable; it is to find flaws, potential biases, unstated assumptions, or alternative viewpoints. Your critique must be constructive and specific.\n${GENERATION_STYLE_GUIDE}\nYour response must be a single minified JSON object with one key: \"critique\", which is a string outlining your counter-argument.\n`;\n\nconst SYNTHESIZER_PROMPT = `\nYou are 'The Synthesizer'. You have been given an original argument from The Proponent and a critique from The Critic. Your job is to create a new, improved version of the argument. You must integrate the valid points from the critique to make the argument more balanced, nuanced, and robust. Discard weak points from either side. Do not merely list pros and cons; create a single, coherent, synthesized text that represents a higher level of understanding.\n${GENERATION_STYLE_GUIDE}\nYour response must be a single minified JSON object with one key: \"synthesis\", which is a string.\n`;\n\nconst DISTILLER_PROMPT = `\nYou are 'The Distiller', an expert at identifying the essence of a complex topic. Analyze the final synthesized text provided. Your task is to extract the single most important, actionable, or profound insight from it. This \"core insight\" should be a single, powerful sentence.\n${GENERATION_STYLE_GUIDE}\nYour response must be a single minified JSON object with one key: \"insight\", which is a string.\n`;\n\n// --- UTILITY FUNCTIONS ---\n\n/**\n * A robust function to find and parse a JSON object from a string that might contain conversational text.\n * @param {string} text The text from the AI response.\n * @returns {any | null} The parsed JSON object or null if not found.\n */\nfunction extractJson(text: string): any | null {\n const jsonMatch = text.match(/\\{.*\\}/s);\n if (!jsonMatch) {\n return null;\n }\n try {\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n console.error(\"Failed to parse extracted JSON:\", error);\n return null;\n }\n}\n\n// --- FRONTEND GENERATION ---\n\nfunction generateHtml(sourceUrl: string): string {\n return `\n\n\n \n \n Synthesis Chamber\n \n \n \n\n\n\n

\n \n

Synthesis Chamber

An AI-powered dialectic to refine complex ideas.

\n\n

\n \n

\n\n

\n\n\n\n`;\n}\n\n// --- MAIN EXPORTED FUNCTION ---\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n // API endpoint for processing a topic\n if (req.method === \"POST\" && url.pathname.endsWith(\"/process\")) {\n try {\n const { topic } = await req.json();\n if (!topic || typeof topic !== \"string\") {\n return new Response(\n JSON.stringify({ error: \"Invalid topic provided.\" }),\n { status: 400 },\n );\n }\n\n const openai = new OpenAI();\n const transcript = [];\n let currentArgument = topic;\n const NUM_ROUNDS = 2; // Two rounds provide substantial refinement without excessive cost.\n\n for (let i = 0; i < NUM_ROUNDS; i++) {\n // Proponent\n const proponentCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: PROPONENT_PROMPT },\n { role: \"user\", content: `The topic is: \"${currentArgument}\"` },\n ],\n response_format: { type: \"json_object\" },\n });\n const proponentResult = extractJson(\n proponentCompletion.choices[0].message.content,\n );\n if (!proponentResult?.argument) {\n throw new Error(\"Proponent failed to generate a valid argument.\");\n }\n const argument = proponentResult.argument;\n\n // Critic\n const criticCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: CRITIC_PROMPT },\n { role: \"user\", content: `Analyze this argument: \"${argument}\"` },\n ],\n response_format: { type: \"json_object\" },\n });\n const criticResult = extractJson(\n criticCompletion.choices[0].message.content,\n );\n if (!criticResult?.critique) {\n throw new Error(\"Critic failed to generate a valid critique.\");\n }\n const critique = criticResult.critique;\n\n // Synthesizer\n const synthesizerCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SYNTHESIZER_PROMPT },\n {\n role: \"user\",\n content:\n `Proponent's argument:\\n\"${argument}\"\\n\\nCritic's analysis:\\n\"${critique}\"`,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n const synthesizerResult = extractJson(\n synthesizerCompletion.choices[0].message.content,\n );\n if (!synthesizerResult?.synthesis) {\n throw new Error(\"Synthesizer failed to generate a valid synthesis.\");\n }\n const synthesis = synthesizerResult.synthesis;\n\n transcript.push({ argument, critique, synthesis });\n currentArgument = synthesis; // The new synthesis becomes the basis for the next round.\n }\n\n // Distiller\n const distillerCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: DISTILLER_PROMPT },\n {\n role: \"user\",\n content:\n `Distill the core insight from this final text:\\n\"${currentArgument}\"`,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n const distillerResult = extractJson(\n distillerCompletion.choices[0].message.content,\n );\n if (!distillerResult?.insight) {\n throw new Error(\"Distiller failed to generate a valid insight.\");\n }\n const insight = distillerResult.insight;\n\n return new Response(JSON.stringify({ transcript, insight }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"AI Synthesis Error:\", error);\n return new Response(\n JSON.stringify({\n error: error.message || \"An unknown server error occurred.\",\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n // Serve the main HTML page for GET requests\n const sourceUrl = `https://${url.hostname}${\n url.pathname.substring(0, url.pathname.lastIndexOf(\"/\")) || url.pathname\n }`;\n return new Response(\n generateHtml(sourceUrl.endsWith(\"/\") ? sourceUrl : sourceUrl + \"/\"),\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n\n// --- AI BEHAVIORAL GUIDELINES ---\nconst GENERATION_STYLE_GUIDE =\n \"As a Knowledge Cartographer AI, your output must be structured, precise, and semantically rich. Your goal is to model how concepts relate to one another in a shared knowledge space. Use clear, concise language for concepts. The relationships you define should be logical and intuitive. The objective is to produce a dataset that can be immediately and accurately visualized as a knowledge graph.\";\n\nconst GRAPH_GENERATOR_PROMPT = `\nYou are a Knowledge Cartographer AI. Your task is to take a central concept and generate 5-7 directly related concepts.\nFor each new concept, you must define its relationship to the central concept.\n\nThe relationship MUST be one of the following types:\n- \"Leads To\": The central concept causes or results in the new one.\n- \"Comprises\": The new concept is a component or part of the central one.\n- \"Opposes\": The new concept is a direct contrast or challenge to the central one.\n- \"Is an Example Of\": The new concept is a specific instance of the central one.\n- \"Requires\": The central concept depends on or needs the new one to exist.\n\nYou MUST respond ONLY with a single, minified JSON object with one key: \"expansion\".\nThe \"expansion\" value must be an array of objects.\nEach object in the array must have two keys:\n1. \"node\": A string representing the name of the new concept.\n2. \"edge\": A string representing one of the permitted relationship types listed above.\n\nExample for the central concept \"Democracy\":\n{\n \"expansion\": [\n {\"node\": \"Elections\", \"edge\": \"Requires\"},\n {\"node\": \"Citizen Participation\", \"edge\": \"Requires\"},\n {\"node\": \"Autocracy\", \"edge\": \"Opposes\"},\n {\"node\": \"Ancient Athens\", \"edge\": \"Is an Example Of\"},\n {\"node\": \"Political Stability\", \"edge\": \"Leads To\"}\n ]\n}\n\n${GENERATION_STYLE_GUIDE}\n`;\n\n// --- UTILITY FUNCTIONS ---\nfunction extractJson(text: string): any | null {\n const jsonMatch = text.match(/\\{.*\\}/s);\n if (!jsonMatch) return null;\n try {\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n console.error(\"JSON Parsing Error:\", error);\n return null;\n }\n}\n\n// --- FRONTEND GENERATION ---\nfunction generateHtml(sourceUrl: string): string {\n return `\n\n\n \n \n Idea Weaver\n \n \n \n \n\n\n\n

\n \n \n

\n\n\n\n`;\n}\n\n// --- MAIN VAL TOWN FUNCTION ---\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n // API Endpoint for expanding a concept\n if (req.method === \"POST\" && url.pathname.endsWith(\"/expand\")) {\n try {\n const { topic } = await req.json();\n if (!topic || typeof topic !== \"string\") {\n return new Response(\n JSON.stringify({ error: \"A valid 'topic' string is required.\" }),\n { status: 400 },\n );\n }\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: GRAPH_GENERATOR_PROMPT },\n { role: \"user\", content: `The central concept is: \"${topic}\"` },\n ],\n temperature: 0.6,\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n const parsedContent = extractJson(content);\n\n if (!parsedContent || !Array.isArray(parsedContent.expansion)) {\n throw new Error(\n \"AI returned data in an invalid format. 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Diff · v5