Totem | Claim Deconstructor

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Your deconstruction of claims must be objective, methodical, and rooted in verifiable precedent. Employ a formal, authoritative tone suitable for a legal brief or engineering report. The objective is to produce a logically sound hierarchy of dependencies, as if preparing evidence for formal review.\";\n\n// --- PROMPT REWRITE: FROM PHILOSOPHY TO FORENSICS ---\nconst DECONSTRUCT_CLAIM_PROMPT = `\nYou are 'The Verifier', an expert AI analyst specializing in regulatory, legal, and technical compliance. Your task is to perform a rigorous deconstruction of the {TargetClaim}. Analyze the claim within the context of legal precedent, regulatory frameworks, contractual obligations, or engineering principles.\n\nYour final output MUST be a single, minified JSON object. Do not include any explanations or conversational text outside the JSON.\n\nThe structure MUST be:\n{\n \"foundations\": [\n { \"claim\": \"A critical, immediate foundational claim or principle.\", \"dependency_rationale\": \"A concise explanation of why this foundation is legally, contractually, or logically required for the target claim to be valid.\" }\n ]\n}\n`;\n\n// --- PROMPT REWRITE: FROM AUDITOR TO ADVERSARY ---\nconst CROSS_EXAMINATION_PROMPT = `\nYou are the 'Adversarial Auditor'. The Verifier has concluded that the following statement is a foundational, atomic claim: \"{TargetClaim}\". Your task is to aggressively challenge this conclusion. Scrutinize the statement for unstated assumptions, implicit dependencies, or more fundamental legal, regulatory, or scientific principles upon which it relies.\n\nIf it can be deconstructed further, provide the more fundamental foundational claims using the same JSON format as The Verifier. If you agree the claim is atomic and cannot be challenged, you MUST return an empty \"foundations\" array.\n`;\n\n// --- PROMPT REWRITE: FROM TOPICS TO PROFESSIONAL DOMAINS ---\nconst DOMAIN_MAPPING_PROMPT = `\nYou are the 'Domain Specialist', an AI that maps statements to their relevant professional or regulatory domains. Your task is to analyze a list of claims and assign a single, concise, high-level domain (1-4 words) to each.\n\nCRITICAL INSTRUCTION: Be granular and specific. When possible, categorize the claims into **at least 3-5 distinct domains** to reveal detailed conceptual relationships. Avoid assigning a single, overly broad domain like \"Law\" or \"Engineering\" if more specific sub-domains like \"Contract Law,\" \"Zoning Regulations,\" \"Materials Science,\" or \"OSHA Compliance\" are applicable.\n\nThe input will be a JSON array of strings. The output MUST be a single, minified JSON object mapping each claim to its domain.\n\n--- EXAMPLE ---\nUSER: [\"A non-compete clause is valid for 12 months.\", \"The building must use fire-rated drywall.\", \"The general contractor is liable for subcontractor negligence.\", \"Fall protection is required for work above 6 feet.\"]\nASSISTANT:\n{\n \"A non-compete clause is valid for 12 months.\": \"Employment Law\",\n \"The building must use fire-rated drywall.\": \"Building Codes\",\n \"The general contractor is liable for subcontractor negligence.\": \"Contractual Liability\",\n \"Fall protection is required for work above 6 feet.\": \"OSHA Regulations\"\n}\n--- END EXAMPLE ---\n\nAnalyze the following claims:\n{Claims}\n`;\n\n// --- UPDATED ---\n// --- PROMPT FOR RATIONALE VALIDITY CHECK (REVISED) ---\nconst VALIDITY_CHECK_PROMPT = `\nYou are an AI Logical Analyst. Your task is to evaluate if a \"dependency_rationale\" creates a direct logical contradiction with its parent claim.\n\nA rationale is VALID if it explains why a foundational claim is a necessary component, condition, or defining rule for its parent claim to be true.\nA rationale is INVALID only if it explicitly states or proves that the parent claim is false, impossible, or logically unsound.\n\nCRITICAL: Do not flag a rationale as invalid simply because it describes a limiting condition or an exception. For example, the rationale \"a contract is void if for an illegal purpose\" is a valid supporting detail for the parent claim \"Contracts must be legal\"; it defines a boundary of the concept, it does not contradict it.\n\nAnalyze the relationship below:\n\n- Parent Claim: \"{ParentClaim}\"\n- Rationale for Dependency: \"{Rationale}\"\n\nYour output MUST be a single, minified JSON object in the format:\n{\"valid\": true}\nor\n{\"valid\": false, \"reason\": \"A brief explanation of the direct contradiction.\"}\n`;\n// --- END UPDATED ---\n\n// --- PROMPT FOR FINAL ANALYSIS ---\nconst ANALYZE_TOTEM_STRUCTURE_PROMPT = `\nYou are an AI Analyst reviewing the output of a claim deconstruction process. Based on the provided JSON structure of a \"Totem\", determine the outcome of the analysis. The totem represents a dependency tree for the root claim.\n\n- If any node in the totem has its \"isValid\" property set to 'false', the original claim was **REFUTED**. The rationale for this node explains the direct contradiction.\n- If the totem has multiple levels (depth >= 2) and all nodes are valid, the original claim was successfully **DECONSTRUCTED**. This indicates a sound, multi-faceted claim.\n- If the totem is very shallow (depth 0 or 1) and no contradictions are found, this can also mean the claim was **REFUTED** due to a lack of supporting foundational principles.\n- If the root claim's domain is abstract (e.g., Philosophy, Ethics, Speculative Science) and no objective, falsifiable foundations could be established, the claim is **NON-FALSIFIABLE**.\n\nAnalyze the following Totem JSON and return a single JSON object with your conclusion. Pay close attention to the 'isValid' flag on each node.\n\nYour output MUST be in the format:\n{\n \"flag\": \"DECONSTRUCTED\" | \"REFUTED\" | \"NON-FALSIFIABLE\",\n \"summary\": \"A one-sentence explanation for this conclusion.\"\n}\n\n--- TOTEM DATA ---\n{TotemData}\n`;\n\n// --- Type Definitions ---\ninterface Foundation {\n claim: string;\n dependency_rationale: string;\n}\n\ninterface ClaimNode {\n id: string;\n claim: string;\n dependency_rationale?: string;\n children: ClaimNode[];\n depth: number;\n domain?: string;\n isValid?: boolean;\n invalidReason?: string;\n}\n\ninterface JobState {\n status: \"processing\" | \"complete\" | \"error\";\n error?: string;\n totem: ClaimNode | null;\n analysisFlag?: string;\n analysisSummary?: string;\n}\n\ninterface TotemIndexEntry {\n jobId: string;\n rootClaim: string;\n timestamp: string;\n}\n\n// --- CORE AI & TOTEM LOGIC ---\nconst MAX_DEPTH = 4;\nconst CROSS_EXAMINE_DEPTH_INTERVAL = 2;\nconst openai = new OpenAI();\nconst INDEX_KEY = \"totem_index\";\n\n// --- UPDATED ---\nasync function callAI(\n replacements: Record,\n promptTemplate: string,\n): Promise {\n try {\n let finalContent = promptTemplate;\n for (const key in replacements) {\n // Use a global regex to replace all occurrences of a placeholder\n finalContent = finalContent.replace(\n new RegExp(`\\\\{${key}\\\\}`, \"g\"),\n replacements[key],\n );\n }\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: ANALYST_PROTOCOL },\n { role: \"user\", content: finalContent },\n ],\n response_format: { type: \"json_object\" },\n });\n const responseContent = completion.choices[0].message.content;\n const jsonMatch = responseContent.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n throw new Error(\"AI response did not contain a valid JSON object.\");\n }\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n console.error(\n `AI call failed for prompt targeting \"${\n Object.values(replacements)[0].substring(0, 50)\n }...\":`,\n error,\n );\n return null;\n }\n}\n// --- END UPDATED ---\n\nasync function analyzeDomains(\n claims: string[],\n): Promise> {\n if (claims.length === 0) return {};\n const result = await callAI(\n { Claims: JSON.stringify(claims) },\n DOMAIN_MAPPING_PROMPT,\n );\n return result || {};\n}\n\nasync function analyzeTotemStructure(\n totem: ClaimNode,\n): Promise<{ flag: string; summary: string }> {\n try {\n const result = await callAI(\n { TotemData: JSON.stringify(totem, null, 2) },\n ANALYZE_TOTEM_STRUCTURE_PROMPT,\n );\n if (result && result.flag && result.summary) {\n return result;\n }\n return {\n flag: \"ANALYSIS_INCOMPLETE\",\n summary:\n \"The final analysis of the totem structure could not be completed.\",\n };\n } catch (error) {\n console.error(\"Totem structure analysis failed:\", error);\n return {\n flag: \"ANALYSIS_ERROR\",\n summary: \"An error occurred during the final analysis step.\",\n };\n }\n}\n\nasync function buildTotemInBackground(jobId: string, rootClaim: ClaimNode) {\n try {\n let currentLevelNodes = [rootClaim];\n\n const rootDomainMap = await analyzeDomains([rootClaim.claim]);\n rootClaim.domain = rootDomainMap[rootClaim.claim] || \"Core Claim\";\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n\n for (let depth = 0; depth < MAX_DEPTH; depth++) {\n if (currentLevelNodes.length === 0) break;\n\n const childPromises = currentLevelNodes.map(async (node) => {\n const deconstructResult = await callAI(\n { TargetClaim: node.claim },\n DECONSTRUCT_CLAIM_PROMPT,\n );\n let foundations =\n (deconstructResult && deconstructResult.foundations) || [];\n\n if (\n foundations.length === 0 ||\n (node.depth > 0 && node.depth % CROSS_EXAMINE_DEPTH_INTERVAL === 0)\n ) {\n const auditResult = await callAI(\n { TargetClaim: node.claim },\n CROSS_EXAMINATION_PROMPT,\n );\n const deeperFoundations = (auditResult && auditResult.foundations) ||\n [];\n if (deeperFoundations.length > 0) {\n foundations = deeperFoundations;\n }\n }\n\n const validFoundations = foundations.filter((p) =>\n p && typeof p.claim === \"string\" && p.claim.trim() !== \"\"\n );\n\n const childNodePromises = validFoundations.map(async (p) => {\n const childNode: ClaimNode = {\n id: nanoid(),\n claim: p.claim,\n dependency_rationale: p.dependency_rationale,\n children: [],\n depth: node.depth + 1,\n isValid: true,\n };\n\n // --- UPDATED VALIDITY CHECK CALL ---\n if (childNode.dependency_rationale) {\n const validityResult = await callAI(\n {\n ParentClaim: node.claim,\n Rationale: childNode.dependency_rationale,\n },\n VALIDITY_CHECK_PROMPT,\n );\n if (validityResult && validityResult.valid === false) {\n childNode.isValid = false;\n childNode.invalidReason = validityResult.reason;\n }\n }\n // --- END UPDATED ---\n return childNode;\n });\n\n node.children = await Promise.all(childNodePromises);\n return node.children;\n });\n\n const nextLevelNodesNested = await Promise.all(childPromises);\n const nextLevelNodes = nextLevelNodesNested.flat();\n\n if (nextLevelNodes.length === 0) {\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n break;\n }\n\n const claimsToAnalyze = [\n ...new Set(nextLevelNodes.map((node) => node.claim)),\n ];\n const domainMap = await analyzeDomains(claimsToAnalyze);\n\n nextLevelNodes.forEach((node) => {\n node.domain = domainMap[node.claim] || \"Uncategorized\";\n });\n\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n currentLevelNodes = nextLevelNodes;\n }\n\n const finalAnalysis = await analyzeTotemStructure(rootClaim);\n\n await blob.setJSON(jobId, {\n status: \"complete\",\n totem: rootClaim,\n analysisFlag: finalAnalysis.flag,\n analysisSummary: finalAnalysis.summary,\n });\n\n const currentIndex: TotemIndexEntry[] = await blob.getJSON(INDEX_KEY) || [];\n const newEntry: TotemIndexEntry = {\n jobId: jobId,\n rootClaim: rootClaim.claim,\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(\"Totem building error:\", error);\n await blob.setJSON(jobId, {\n status: \"error\",\n totem: rootClaim,\n error: error.message,\n });\n }\n}\n\nfunction generateHtml(sourceUrl: string): string {\n return `\n\n\n \n \n Totem | Claim Deconstructor\n 🏛️\">\n \n \n \n \n \n \n \n \n\n\n\n

\n\n\n`;\n}\n\n// --- HTTP REQUEST HANDLER (NO CHANGES NEEDED) ---\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 { claim } = await req.json();\n if (!claim || typeof claim !== \"string\" || claim.trim().length === 0) {\n return new Response(\n JSON.stringify({\n error: \"A valid, non-empty 'claim' string is required.\",\n }),\n {\n status: 400,\n headers,\n },\n );\n }\n const jobId = nanoid();\n const rootClaim: ClaimNode = {\n id: nanoid(),\n claim: claim,\n children: [],\n depth: 0,\n };\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n buildTotemInBackground(jobId, rootClaim);\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: TotemIndexEntry[] = 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\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 ? error.message\n : \"An unknown server error occurred.\";\n return new Response(JSON.stringify({ error: errorMessage }), {\n status: 500,\n headers,\n });\n }\n}","// @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 TOTEM ---\nconst ANALYST_PROTOCOL =\n \"As the AI forensic analyst 'The Verifier', you must adopt the persona of a meticulous compliance expert. Your deconstruction of claims must be objective, methodical, and rooted in verifiable precedent. Employ a formal, authoritative tone suitable for a legal brief or engineering report. The objective is to produce a logically sound hierarchy of dependencies, as if preparing evidence for formal review.\";\n\n// --- PROMPT REWRITE: FROM PHILOSOPHY TO FORENSICS ---\nconst DECONSTRUCT_CLAIM_PROMPT = `\nYou are 'The Verifier', an expert AI analyst specializing in regulatory, legal, and technical compliance. Your task is to perform a rigorous deconstruction of the {TargetClaim}. Analyze the claim within the context of legal precedent, regulatory frameworks, contractual obligations, or engineering principles.\n\nYour final output MUST be a single, minified JSON object. Do not include any explanations or conversational text outside the JSON.\n\nThe structure MUST be:\n{\n \"foundations\": [\n { \"claim\": \"A critical, immediate foundational claim or principle.\", \"dependency_rationale\": \"A concise explanation of why this foundation is legally, contractually, or logically required for the target claim to be valid.\" }\n ]\n}\n`;\n\n// --- PROMPT REWRITE: FROM AUDITOR TO ADVERSARY ---\nconst CROSS_EXAMINATION_PROMPT = `\nYou are the 'Adversarial Auditor'. The Verifier has concluded that the following statement is a foundational, atomic claim: \"{TargetClaim}\". Your task is to aggressively challenge this conclusion. Scrutinize the statement for unstated assumptions, implicit dependencies, or more fundamental legal, regulatory, or scientific principles upon which it relies.\n\nIf it can be deconstructed further, provide the more fundamental foundational claims using the same JSON format as The Verifier. If you agree the claim is atomic and cannot be challenged, you MUST return an empty \"foundations\" array.\n`;\n\n// --- PROMPT REWRITE: FROM TOPICS TO PROFESSIONAL DOMAINS ---\nconst DOMAIN_MAPPING_PROMPT = `\nYou are the 'Domain Specialist', an AI that maps statements to their relevant professional or regulatory domains. Your task is to analyze a list of claims and assign a single, concise, high-level domain (1-4 words) to each.\n\nCRITICAL INSTRUCTION: Be granular and specific. When possible, categorize the claims into **at least 3-5 distinct domains** to reveal detailed conceptual relationships. Avoid assigning a single, overly broad domain like \"Law\" or \"Engineering\" if more specific sub-domains like \"Contract Law,\" \"Zoning Regulations,\" \"Materials Science,\" or \"OSHA Compliance\" are applicable.\n\nThe input will be a JSON array of strings. The output MUST be a single, minified JSON object mapping each claim to its domain.\n\n--- EXAMPLE ---\nUSER: [\"A non-compete clause is valid for 12 months.\", \"The building must use fire-rated drywall.\", \"The general contractor is liable for subcontractor negligence.\", \"Fall protection is required for work above 6 feet.\"]\nASSISTANT:\n{\n \"A non-compete clause is valid for 12 months.\": \"Employment Law\",\n \"The building must use fire-rated drywall.\": \"Building Codes\",\n \"The general contractor is liable for subcontractor negligence.\": \"Contractual Liability\",\n \"Fall protection is required for work above 6 feet.\": \"OSHA Regulations\"\n}\n--- END EXAMPLE ---\n\nAnalyze the following claims:\n{Claims}\n`;\n\n// --- PROMPT FOR RATIONALE VALIDITY CHECK (REVISED) ---\nconst VALIDITY_CHECK_PROMPT = `\nYou are an AI Logical Analyst. Your task is to evaluate if a \"dependency_rationale\" creates a direct logical contradiction with its parent claim.\n\nA rationale is VALID if it explains why a foundational claim is a necessary component, condition, or defining rule for its parent claim to be true.\nA rationale is INVALID only if it explicitly states or proves that the parent claim is false, impossible, or logically unsound.\n\nCRITICAL: Do not flag a rationale as invalid simply because it describes a limiting condition or an exception. For example, the rationale \"a contract is void if for an illegal purpose\" is a valid supporting detail for the parent claim \"Contracts must be legal\"; it defines a boundary of the concept, it does not contradict it.\n\nAnalyze the relationship below:\n\n- Parent Claim: \"{ParentClaim}\"\n- Rationale for Dependency: \"{Rationale}\"\n\nYour output MUST be a single, minified JSON object in the format:\n{\"valid\": true}\nor\n{\"valid\": false, \"reason\": \"A brief explanation of the direct contradiction.\"}\n`;\n\n// --- PROMPT FOR FINAL ANALYSIS ---\nconst ANALYZE_TOTEM_STRUCTURE_PROMPT = `\nYou are an AI Analyst reviewing the output of a claim deconstruction process. Based on the provided JSON structure of a \"Totem\", determine the outcome of the analysis. The totem represents a dependency tree for the root claim.\n\n- If any node in the totem has its \"isValid\" property set to 'false', the original claim was **REFUTED**. The rationale for this node explains the direct contradiction.\n- If the totem has multiple levels (depth >= 2) and all nodes are valid, the original claim was successfully **DECONSTRUCTED**. This indicates a sound, multi-faceted claim.\n- If the totem is very shallow (depth 0 or 1) and no contradictions are found, this can also mean the claim was **REFUTED** due to a lack of supporting foundational principles.\n- If the root claim's domain is abstract (e.g., Philosophy, Ethics, Speculative Science) and no objective, falsifiable foundations could be established, the claim is **NON-FALSIFIABLE**.\n\nAnalyze the following Totem JSON and return a single JSON object with your conclusion. Pay close attention to the 'isValid' flag on each node.\n\nYour output MUST be in the format:\n{\n \"flag\": \"DECONSTRUCTED\" | \"REFUTED\" | \"NON-FALSIFIABLE\",\n \"summary\": \"A one-sentence explanation for this conclusion.\"\n}\n\n--- TOTEM DATA ---\n{TotemData}\n`;\n\n// --- Type Definitions ---\ninterface Foundation {\n claim: string;\n dependency_rationale: string;\n}\n\ninterface ClaimNode {\n id: string;\n claim: string;\n dependency_rationale?: string;\n children: ClaimNode[];\n depth: number;\n domain?: string;\n isValid?: boolean;\n invalidReason?: string;\n}\n\ninterface JobState {\n status: \"processing\" | \"complete\" | \"error\";\n error?: string;\n totem: ClaimNode | null;\n analysisFlag?: string;\n analysisSummary?: string;\n}\n\ninterface TotemIndexEntry {\n jobId: string;\n rootClaim: string;\n timestamp: string;\n}\n\n// --- CORE AI & TOTEM LOGIC ---\nconst MAX_DEPTH = 4;\nconst CROSS_EXAMINE_DEPTH_INTERVAL = 2;\nconst openai = new OpenAI();\nconst INDEX_KEY = \"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(`\\\\{${key}\\\\}`, \"g\"),\n replacements[key],\n );\n }\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: ANALYST_PROTOCOL },\n { role: \"user\", content: finalContent },\n ],\n response_format: { type: \"json_object\" },\n });\n const responseContent = completion.choices[0].message.content;\n const jsonMatch = responseContent.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n throw new Error(\"AI response did not contain a valid JSON object.\");\n }\n return JSON.parse(jsonMatch[0]);\n } catch (error) {\n console.error(\n `AI call failed for prompt targeting \"${\n Object.values(replacements)[0].substring(0, 50)\n }...\":`,\n error,\n );\n return null;\n }\n}\n\nasync function analyzeDomains(\n claims: string[],\n): Promise> {\n if (claims.length === 0) return {};\n const result = await callAI(\n { Claims: JSON.stringify(claims) },\n DOMAIN_MAPPING_PROMPT,\n );\n return result || {};\n}\n\nasync function analyzeTotemStructure(\n totem: ClaimNode,\n): Promise<{ flag: string; summary: string }> {\n try {\n const result = await callAI(\n { TotemData: JSON.stringify(totem, null, 2) },\n ANALYZE_TOTEM_STRUCTURE_PROMPT,\n );\n if (result && result.flag && result.summary) {\n return result;\n }\n return {\n flag: \"ANALYSIS_INCOMPLETE\",\n summary:\n \"The final analysis of the totem structure could not be completed.\",\n };\n } catch (error) {\n console.error(\"Totem structure analysis failed:\", error);\n return {\n flag: \"ANALYSIS_ERROR\",\n summary: \"An error occurred during the final analysis step.\",\n };\n }\n}\n\nasync function buildTotemInBackground(jobId: string, rootClaim: ClaimNode) {\n try {\n let currentLevelNodes = [rootClaim];\n\n const rootDomainMap = await analyzeDomains([rootClaim.claim]);\n rootClaim.domain = rootDomainMap[rootClaim.claim] || \"Core Claim\";\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n\n for (let depth = 0; depth < MAX_DEPTH; depth++) {\n if (currentLevelNodes.length === 0) break;\n\n const childPromises = currentLevelNodes.map(async (node) => {\n const deconstructResult = await callAI(\n { TargetClaim: node.claim },\n DECONSTRUCT_CLAIM_PROMPT,\n );\n let foundations =\n (deconstructResult && deconstructResult.foundations) || [];\n\n if (\n foundations.length === 0 ||\n (node.depth > 0 && node.depth % CROSS_EXAMINE_DEPTH_INTERVAL === 0)\n ) {\n const auditResult = await callAI(\n { TargetClaim: node.claim },\n CROSS_EXAMINATION_PROMPT,\n );\n const deeperFoundations = (auditResult && auditResult.foundations) ||\n [];\n if (deeperFoundations.length > 0) {\n foundations = deeperFoundations;\n }\n }\n\n const validFoundations = foundations.filter((p) =>\n p && typeof p.claim === \"string\" && p.claim.trim() !== \"\"\n );\n\n const childNodePromises = validFoundations.map(async (p) => {\n const childNode: ClaimNode = {\n id: nanoid(),\n claim: p.claim,\n dependency_rationale: p.dependency_rationale,\n children: [],\n depth: node.depth + 1,\n isValid: true,\n };\n\n if (childNode.dependency_rationale) {\n const validityResult = await callAI(\n {\n ParentClaim: node.claim,\n Rationale: childNode.dependency_rationale,\n },\n VALIDITY_CHECK_PROMPT,\n );\n if (validityResult && validityResult.valid === false) {\n childNode.isValid = false;\n childNode.invalidReason = validityResult.reason;\n }\n }\n return childNode;\n });\n\n node.children = await Promise.all(childNodePromises);\n return node.children;\n });\n\n const nextLevelNodesNested = await Promise.all(childPromises);\n const nextLevelNodes = nextLevelNodesNested.flat();\n\n if (nextLevelNodes.length === 0) {\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n break;\n }\n\n const claimsToAnalyze = [\n ...new Set(nextLevelNodes.map((node) => node.claim)),\n ];\n const domainMap = await analyzeDomains(claimsToAnalyze);\n\n nextLevelNodes.forEach((node) => {\n node.domain = domainMap[node.claim] || \"Uncategorized\";\n });\n\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n currentLevelNodes = nextLevelNodes;\n }\n\n const finalAnalysis = await analyzeTotemStructure(rootClaim);\n\n await blob.setJSON(jobId, {\n status: \"complete\",\n totem: rootClaim,\n analysisFlag: finalAnalysis.flag,\n analysisSummary: finalAnalysis.summary,\n });\n\n const currentIndex: TotemIndexEntry[] = await blob.getJSON(INDEX_KEY) || [];\n const newEntry: TotemIndexEntry = {\n jobId: jobId,\n rootClaim: rootClaim.claim,\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(\"Totem building error:\", error);\n await blob.setJSON(jobId, {\n status: \"error\",\n totem: rootClaim,\n error: error.message,\n });\n }\n}\n\nfunction generateHtml(sourceUrl: string): string {\n return `\n\n\n \n \n Totem | AI-Powered Claim Analysis Platform\n \n 🏛️\">\n \n \n \n \n \n \n \n \n\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 { claim } = await req.json();\n if (!claim || typeof claim !== \"string\" || claim.trim().length === 0) {\n return new Response(\n JSON.stringify({\n error: \"A valid, non-empty 'claim' string is required.\",\n }),\n { status: 400, headers },\n );\n }\n const jobId = nanoid();\n const rootClaim: ClaimNode = {\n id: nanoid(),\n claim: claim,\n children: [],\n depth: 0,\n };\n await blob.setJSON(jobId, { status: \"processing\", totem: rootClaim });\n buildTotemInBackground(jobId, rootClaim);\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: TotemIndexEntry[] = 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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Diff · v10