[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_288":289,"_290":291},"routes/_app.x.$handle.$name",{"_97":96,"_32":44,"_106":87,"_27":107,"_13":14,"_108":-5,"_11":109,"_110":111,"_112":113,"_114":115,"_116":117,"_20":-5,"_118":-5,"_119":-5,"_120":26,"_121":122,"_123":24,"_124":-5,"_125":-5,"_126":127},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_42":43,"_32":44,"_37":45,"_46":-5,"_47":26,"_48":49,"_50":49,"_51":52,"_53":-5,"_18":54,"_55":-5,"_56":26,"_57":-5,"_58":-5,"_59":60,"_61":62,"_63":64,"_65":66,"_67":68,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":26},"version",18,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":26,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":20,"_35":36,"_37":38,"_39":14,"_40":41,"_23":26},"previous","deleted",true,"deletedHere",false,"path","src/ui.ts","latestPath","fileId","bd323e64-200f-11f1-a7e5-42dde27851f2","name","ui.ts","fileType","content","// ─── Dark UI ─────────────────────────────────────────────────────────────────\n// Pitch black #000000 base with LiveKit/Linear-inspired high-contrast accents\nexport function renderUI(): string {\n return `\n\n\n\n\nMobile QA Agent — LangGraph\n\n\n\n\n\n

\n\n \n

Mobile QA Agent

AI-powered test automation intelligence

\n LangGraph v1\n Anthropic Claude\n Val Town\n v1.3.0\n

\n\n \n

Agent Graph

\n START\n →\n detectMode\n →\n analyzeInput\n →\n generate | triage | strategy\n →\n assembleFinal\n →\n END\n

\n\n \n

Playground

\n\n

\n \n \n \n \n

\n\n

\n \n

\n\n

\n \n \n

\n\n

\n Response\n \n

\n\n \n\n

\n\n\n\n`;\n}\n","createdAt",["D",1773538739590],"branchVersion","branchId","9653515a-2007-11f1-a5c4-42dde27851f2","id","9652ee22-2007-11f1-a5c4-42dde27851f2","mobile-qa-agent",["D",1773535238405],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","LangGraph mobile QA agent: test gen, triage, strategy","imageUrl","f404441a-b070-431b-b152-17a2208cfa70","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","018b67b5-3681-41ae-8e5a-cdcf7cd1218d","tursoName","9652ee22200711f1a5c442dde27851f2","tursoHostname","9652ee22200711f1a5c442dde27851f2-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789528852539],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_97":96,"_105":101},"org",{"_97":96,"_98":99,"_100":101,"_18":54,"_102":103,"_104":26},"branch",{"_13":86,"_32":87,"_42":41,"_88":43,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":44,"_95":96},"isOwned",21,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","khawjaahmad","handle","displayName","ahmad","avatar","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/4ec015ce-90e5-4eef-7eaf-21e3da8cec00/square512?exp=1789577999&sig=12e186c2f8c7642d2cb3c4df3da9a5f273c768bd126228b99d4ae8207460ff9d","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_42":43,"_32":44,"_37":283,"_46":-5,"_47":26,"_48":49,"_50":49,"_51":52,"_53":-5,"_18":54,"_55":-5,"_56":26,"_57":-5,"_58":-5,"_59":60,"_61":62,"_63":64,"_65":66,"_67":284,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":285,"_81":286,"_83":287,"_85":26},"tree",[162,176],"files",[162,163,164,165,166,167,168,169,170,171,172,173,174,175,176],"counts",{"_150":60,"_151":152,"_153":60,"_154":155,"_156":157},"contents",[128,129],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_42":143,"_32":144,"_30":145,"_133":-5,"_40":41,"_39":146,"_135":24,"_37":147,"_13":60,"_34":148,"_35":-5,"_23":26,"_140":-5,"_27":149},{"_42":130,"_32":131,"_30":132,"_133":-5,"_40":41,"_39":134,"_135":26,"_37":136,"_13":137,"_34":138,"_35":139,"_23":26,"_140":141,"_27":142},"14bf419c-200e-11f1-83b0-42dde27851f2","main.ts","b7ef2866-2007-11f1-a709-42dde27851f2","parentId",4,"latest",["D",1773538027478],3,"http","import { StateGraph, Annotation, START, END } from \"npm:@langchain/langgraph@^0.2\";\n\n// ─── Configuration ───────────────────────────────────────────────────────────\nconst ANTHROPIC_URL = \"https://api.z.ai/api/anthropic/v1/messages\";\nconst ANTHROPIC_MODEL = \"anthropic/claude-opus-4-20250514\";\nconst ANTHROPIC_API_KEY = Deno.env.get(\"ANTHROPIC_API_KEY\") ?? \"\";\n\n// Val Town env vars use underscores; HTTP header is \"X-API-KEY\"\nconst GATEWAY_API_KEY = Deno.env.get(\"X_API_KEY\") ?? \"\";\n\n// ─── LLM Helper ──────────────────────────────────────────────────────────────\nasync function callLLM(systemPrompt: string, userPrompt: string): Promise {\n const res = await fetch(ANTHROPIC_URL, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": ANTHROPIC_API_KEY,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: ANTHROPIC_MODEL,\n max_tokens: 4096,\n system: systemPrompt,\n messages: [{ role: \"user\", content: userPrompt }],\n }),\n });\n if (!res.ok) {\n const errText = await res.text();\n throw new Error(`LLM call failed (${res.status}): ${errText}`);\n }\n const data = await res.json();\n return data.content?.[0]?.text ?? \"\";\n}\n\n// ─── Auth Helper ─────────────────────────────────────────────────────────────\nfunction authenticateRequest(req: Request): boolean {\n if (!GATEWAY_API_KEY) return true; // If no key configured, allow all (dev mode)\n // Accept header as X-API-KEY (case-insensitive per HTTP spec)\n const provided = req.headers.get(\"X-API-KEY\") ?? \"\";\n return provided === GATEWAY_API_KEY;\n}\n\n// ─── State Definition ────────────────────────────────────────────────────────\nconst AgentState = Annotation.Root({\n mode: Annotation(),\n input: Annotation(),\n detectedMode: Annotation(),\n analysisResult: Annotation(),\n testCases: Annotation(),\n triageResult: Annotation(),\n strategyResult: Annotation(),\n finalOutput: Annotation(),\n});\n\n// ─── Node: Auto-Detect Mode ─────────────────────────────────────────────────\nasync function detectMode(state: typeof AgentState.State) {\n if (state.mode !== \"auto\") {\n return { detectedMode: state.mode };\n }\n\n const classification = await callLLM(\n `You are a classifier for mobile QA requests. Respond with exactly one word:\n- \"generate\" if the user wants test cases generated for a feature/screen\n- \"triage\" if the user is sharing a test failure, crash log, stack trace, or bug report\n- \"strategy\" if the user wants test strategy advice, test pyramid planning, or coverage analysis\nRespond with ONLY the single word.`,\n state.input,\n );\n\n const mode = classification.trim().toLowerCase();\n const valid = [\"generate\", \"triage\", \"strategy\"];\n return { detectedMode: valid.includes(mode) ? mode : \"generate\" };\n}\n\n// ─── Node: Analyze Input ─────────────────────────────────────────────────────\nasync function analyzeInput(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are a senior mobile QA engineer. Analyze the user's input and extract:\n1. Platform context (iOS, Android, or both)\n2. App area / feature under test\n3. Key risk areas and edge cases to consider\n4. Any implicit requirements (accessibility, localization, offline, etc.)\nRespond in structured JSON with keys: platform, feature, risks, implicitRequirements`,\n state.input,\n );\n return { analysisResult: result };\n}\n\n// ─── Node: Generate Test Cases ───────────────────────────────────────────────\nasync function generateTestCases(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are an expert mobile QA test engineer. Using the analysis context provided, generate comprehensive test cases.\n\nFor each test case provide:\n- id: TC-XXX\n- title: concise description\n- priority: P0 (critical) / P1 (high) / P2 (medium) / P3 (low)\n- type: functional | UI | performance | accessibility | security | edge-case\n- platforms: iOS | Android | both\n- preconditions: what must be true before executing\n- steps: numbered test steps\n- expected: expected result\n- automatable: yes/no with suggested framework (XCUITest, Espresso, Appium, Detox, Maestro)\n\nCover: happy path, negative cases, boundary values, interruptions (calls, notifications, backgrounding), network conditions, accessibility, and device rotation.\n\nRespond in JSON array format.`,\n `User request: ${state.input}\\n\\nAnalysis context: ${state.analysisResult}`,\n );\n return { testCases: result };\n}\n\n// ─── Node: Triage Failure ────────────────────────────────────────────────────\nasync function triageFailure(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are a senior mobile QA engineer specializing in failure analysis. Analyze the provided test failure / crash log / bug report.\n\nProvide:\n1. failureClassification: UI regression | crash | network error | flaky test | data issue | platform-specific bug | race condition | memory leak\n2. severityAssessment: blocker / critical / major / minor\n3. rootCauseAnalysis: Most likely cause based on the symptoms\n4. platformImpact: iOS-only, Android-only, or cross-platform\n5. suggestedFix: Concrete steps the dev team should take\n6. regressionRisk: What other areas might be affected\n7. testImprovement: How to make the test more robust to prevent false positives\n8. automationNote: If relevant, suggest automation improvements (Appium, Espresso, XCUITest, etc.)\n\nRespond in structured JSON.`,\n `Failure input: ${state.input}\\n\\nAnalysis context: ${state.analysisResult}`,\n );\n return { triageResult: result };\n}\n\n// ─── Node: Strategy Advisor ──────────────────────────────────────────────────\nasync function adviseStrategy(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are a mobile test strategy architect. Based on the app description provided, create a comprehensive mobile test strategy.\n\nInclude:\n1. testPyramid: Ratio of unit / integration / E2E tests with justification\n2. frameworkSelection: Recommended frameworks per layer (XCUITest, Espresso, Appium, Detox, Maestro, EarlGrey) with pros/cons for this specific app\n3. platformCoverageMatrix: What to test on each platform, device tiers, OS versions\n4. riskBasedPrioritization: Which features need most coverage and why\n5. cicdIntegration: How to structure the test pipeline (pre-merge, post-merge, nightly, release)\n6. deviceFarmRecommendation: BrowserStack, AWS Device Farm, Firebase Test Lab, Sauce Labs — which fits best\n7. metricsAndKPIs: What to track (flake rate, coverage %, pass rate, execution time)\n8. shiftLeftRecommendations: What can be caught earlier in the development cycle\n\nRespond in structured JSON.`,\n `App description: ${state.input}\\n\\nAnalysis context: ${state.analysisResult}`,\n );\n return { strategyResult: result };\n}\n\n// ─── Node: Assemble Final Output ─────────────────────────────────────────────\nasync function assembleFinal(state: typeof AgentState.State) {\n const mode = state.detectedMode;\n const modeLabel =\n mode === \"generate\" ? \"Test Case Generation\"\n : mode === \"triage\" ? \"Failure Triage\"\n : \"Test Strategy Advisory\";\n\n const primaryResult =\n mode === \"generate\" ? state.testCases\n : mode === \"triage\" ? state.triageResult\n : state.strategyResult;\n\n return {\n finalOutput: JSON.stringify({\n agent: \"Mobile QA Agent (LangGraph)\",\n mode: modeLabel,\n analysis: safeParseJSON(state.analysisResult),\n result: safeParseJSON(primaryResult),\n }, null, 2),\n };\n}\n\nfunction safeParseJSON(str: string): unknown {\n try {\n const cleaned = str.replace(/^```(?:json)?\\n?/gm, \"\").replace(/```$/gm, \"\").trim();\n return JSON.parse(cleaned);\n } catch {\n return str;\n }\n}\n\n// ─── Routing Function ────────────────────────────────────────────────────────\nfunction routeByMode(state: typeof AgentState.State): string {\n switch (state.detectedMode) {\n case \"triage\": return \"triageFailure\";\n case \"strategy\": return \"adviseStrategy\";\n default: return \"generateTestCases\";\n }\n}\n\n// ─── Build the Graph ─────────────────────────────────────────────────────────\nconst workflow = new StateGraph(AgentState)\n .addNode(\"detectMode\", detectMode)\n .addNode(\"analyzeInput\", analyzeInput)\n .addNode(\"generateTestCases\", generateTestCases)\n .addNode(\"triageFailure\", triageFailure)\n .addNode(\"adviseStrategy\", adviseStrategy)\n .addNode(\"assembleFinal\", assembleFinal)\n .addEdge(START, \"detectMode\")\n .addEdge(\"detectMode\", \"analyzeInput\")\n .addConditionalEdges(\"analyzeInput\", routeByMode, {\n generateTestCases: \"generateTestCases\",\n triageFailure: \"triageFailure\",\n adviseStrategy: \"adviseStrategy\",\n })\n .addEdge(\"generateTestCases\", \"assembleFinal\")\n .addEdge(\"triageFailure\", \"assembleFinal\")\n .addEdge(\"adviseStrategy\", \"assembleFinal\")\n .addEdge(\"assembleFinal\", END);\n\nconst app = workflow.compile();\n\n// ─── HTTP Handler ────────────────────────────────────────────────────────────\nexport default async function handler(req: Request): Promise {\n if (req.method === \"OPTIONS\") {\n return new Response(null, {\n headers: {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type, X-API-KEY\",\n },\n });\n }\n\n const corsHeaders = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Content-Type\": \"application/json\",\n };\n\n // GET → usage info (public, no auth required)\n if (req.method === \"GET\") {\n return new Response(JSON.stringify({\n name: \"Mobile QA Agent\",\n description: \"LangGraph-powered mobile QA test automation agent combining test case generation, failure triage, and test strategy advisory.\",\n version: \"1.3.0\",\n poweredBy: \"LangGraph StateGraph + Anthropic Claude\",\n authentication: {\n type: \"API Key\",\n header: \"X-API-KEY\",\n note: \"Required for POST requests. GET is public.\",\n },\n capabilities: [\"generate\", \"triage\", \"strategy\", \"auto\"],\n usage: {\n method: \"POST\",\n contentType: \"application/json\",\n headers: { \"X-API-KEY\": \"\" },\n body: {\n mode: \"auto | generate | triage | strategy (default: auto)\",\n input: \"Your feature description, failure log, or app description\",\n },\n examples: [\n {\n mode: \"generate\",\n input: \"Login screen with email/password and biometric authentication on iOS and Android\",\n },\n {\n mode: \"triage\",\n input: \"java.lang.NullPointerException at LoginActivity.onBiometricResult(LoginActivity.java:142) — test was passing yesterday, now fails on Android 14 Pixel 8\",\n },\n {\n mode: \"strategy\",\n input: \"E-commerce app with 50K DAU, checkout flow, product search, user profiles, push notifications. Currently zero automation.\",\n },\n {\n mode: \"auto\",\n input: \"Our login tests keep failing intermittently on Samsung devices after the latest Android update\",\n },\n ],\n },\n graph: {\n nodes: [\"detectMode\", \"analyzeInput\", \"generateTestCases\", \"triageFailure\", \"adviseStrategy\", \"assembleFinal\"],\n flow: \"START → detectMode → analyzeInput → [conditional: generate|triage|strategy] → assembleFinal → END\",\n },\n }, null, 2), { headers: corsHeaders });\n }\n\n // POST → run agent (requires X-API-KEY header)\n if (req.method === \"POST\") {\n if (!authenticateRequest(req)) {\n return new Response(JSON.stringify({\n error: \"Unauthorized\",\n message: \"Missing or invalid X-API-KEY header. This endpoint requires authentication.\",\n }), { status: 401, headers: corsHeaders });\n }\n\n const startTime = Date.now();\n try {\n const body = await req.json();\n const { mode = \"auto\", input } = body;\n\n if (!input || typeof input !== \"string\") {\n return new Response(JSON.stringify({ error: \"Missing required field: input (string)\" }), {\n status: 400, headers: corsHeaders,\n });\n }\n\n if (!ANTHROPIC_API_KEY) {\n return new Response(JSON.stringify({ error: \"ANTHROPIC_API_KEY environment variable not set\" }), {\n status: 500, headers: corsHeaders,\n });\n }\n\n const validModes = [\"auto\", \"generate\", \"triage\", \"strategy\"];\n if (!validModes.includes(mode)) {\n return new Response(JSON.stringify({ error: `Invalid mode. Use: ${validModes.join(\", \")}` }), {\n status: 400, headers: corsHeaders,\n });\n }\n\n const result = await app.invoke({\n mode,\n input,\n detectedMode: \"\",\n analysisResult: \"\",\n testCases: \"\",\n triageResult: \"\",\n strategyResult: \"\",\n finalOutput: \"\",\n });\n\n const elapsed = Date.now() - startTime;\n const parsed = safeParseJSON(result.finalOutput);\n const output = typeof parsed === \"object\" && parsed !== null\n ? { ...parsed as Record, meta: { executionTimeMs: elapsed, timestamp: new Date().toISOString() } }\n : parsed;\n\n return new Response(JSON.stringify(output, null, 2), { headers: corsHeaders });\n } catch (err) {\n const elapsed = Date.now() - startTime;\n const message = err instanceof Error ? err.message : \"Unknown error\";\n return new Response(JSON.stringify({ error: message, meta: { executionTimeMs: elapsed } }), {\n status: 500, headers: corsHeaders,\n });\n }\n }\n\n return new Response(JSON.stringify({ error: \"Method not allowed\" }), {\n status: 405, headers: corsHeaders,\n });\n}\n","label","mobile-qa",[131],"650ad1ce-200f-11f1-9f2f-42dde27851f2","src","650ad296-200f-11f1-9f2f-42dde27851f2",5,["D",1773538591691],"directory",[144],"pulls","branches",1,"forks","envVars",{"_158":160,"_161":60},"connections",{"_158":60,"_159":60},"count","unfilledCount",2,"emptyCount",{"_42":143,"_32":144,"_30":145,"_133":-5,"_40":41,"_39":146,"_135":24,"_37":280,"_13":60,"_34":148,"_35":-5,"_23":26,"_140":-5,"_178":281,"_27":282},{"_42":275,"_32":234,"_30":228,"_133":145,"_40":41,"_39":276,"_135":24,"_37":277,"_13":60,"_34":148,"_35":-5,"_23":26,"_140":-5,"_178":278,"_27":279},{"_42":267,"_32":268,"_30":269,"_133":228,"_40":41,"_39":270,"_135":24,"_37":271,"_13":60,"_34":20,"_35":272,"_23":26,"_140":-5,"_178":273,"_27":274},{"_42":259,"_32":260,"_30":261,"_133":228,"_40":41,"_39":262,"_135":24,"_37":263,"_13":60,"_34":20,"_35":264,"_23":26,"_140":-5,"_178":265,"_27":266},{"_42":251,"_32":252,"_30":253,"_133":228,"_40":41,"_39":254,"_135":24,"_37":255,"_13":60,"_34":20,"_35":256,"_23":26,"_140":-5,"_178":257,"_27":258},{"_42":243,"_32":244,"_30":245,"_133":228,"_40":41,"_39":246,"_135":24,"_37":247,"_13":60,"_34":20,"_35":248,"_23":26,"_140":-5,"_178":249,"_27":250},{"_42":235,"_32":236,"_30":237,"_133":228,"_40":41,"_39":238,"_135":24,"_37":239,"_13":60,"_34":20,"_35":240,"_23":26,"_140":-5,"_178":241,"_27":242},{"_42":225,"_32":226,"_30":227,"_133":228,"_40":41,"_39":229,"_135":24,"_37":230,"_13":60,"_34":20,"_35":231,"_23":26,"_140":-5,"_178":232,"_27":233},{"_42":217,"_32":218,"_30":219,"_133":145,"_40":41,"_39":220,"_135":24,"_37":221,"_13":60,"_34":20,"_35":222,"_23":26,"_140":-5,"_178":223,"_27":224},{"_42":209,"_32":210,"_30":211,"_133":145,"_40":41,"_39":212,"_135":24,"_37":213,"_13":60,"_34":20,"_35":214,"_23":26,"_140":-5,"_178":215,"_27":216},{"_42":201,"_32":202,"_30":203,"_133":145,"_40":41,"_39":204,"_135":24,"_37":205,"_13":60,"_34":20,"_35":206,"_23":26,"_140":-5,"_178":207,"_27":208},{"_42":193,"_32":194,"_30":195,"_133":145,"_40":41,"_39":196,"_135":24,"_37":197,"_13":60,"_34":20,"_35":198,"_23":26,"_140":-5,"_178":199,"_27":200},{"_42":185,"_32":186,"_30":187,"_133":145,"_40":41,"_39":188,"_135":24,"_37":189,"_13":60,"_34":20,"_35":190,"_23":26,"_140":-5,"_178":191,"_27":192},{"_42":181,"_32":33,"_30":31,"_133":145,"_40":41,"_39":14,"_135":26,"_37":182,"_13":60,"_34":20,"_35":36,"_23":26,"_140":-5,"_178":183,"_27":184},{"_42":130,"_32":131,"_30":132,"_133":-5,"_40":41,"_39":134,"_135":26,"_37":177,"_13":137,"_34":138,"_35":139,"_23":26,"_140":141,"_178":179,"_27":180},["D",1773538027478],"children",[],[131],"bd323d60-200f-11f1-a7e5-42dde27851f2",["D",1773538739590],[],[144,33],"736dc05a-200f-11f1-9002-42dde27851f2","state.ts","736dc14a-200f-11f1-9002-42dde27851f2",9,["D",1773538615825],"import { Annotation } from \"npm:@langchain/langgraph@^0.2\";\n\n// ─── State Definition ────────────────────────────────────────────────────────\nexport const AgentState = Annotation.Root({\n mode: Annotation(),\n input: Annotation(),\n detectedMode: Annotation(),\n analysisResult: Annotation(),\n testCases: Annotation(),\n triageResult: Annotation(),\n strategyResult: Annotation(),\n finalOutput: Annotation(),\n});\n",[],[144,186],"6fd3fdb0-200f-11f1-9db9-42dde27851f2","llm.ts","6fd3fe5a-200f-11f1-9db9-42dde27851f2",8,["D",1773538609790],"import { ANTHROPIC_URL, ANTHROPIC_MODEL, ANTHROPIC_API_KEY } from \"./config.ts\";\n\n// ─── LLM Helper ──────────────────────────────────────────────────────────────\nexport async function callLLM(systemPrompt: string, userPrompt: string): Promise {\n const res = await fetch(ANTHROPIC_URL, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": ANTHROPIC_API_KEY,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: ANTHROPIC_MODEL,\n max_tokens: 4096,\n system: systemPrompt,\n messages: [{ role: \"user\", content: userPrompt }],\n }),\n });\n if (!res.ok) {\n const errText = await res.text();\n throw new Error(`LLM call failed (${res.status}): ${errText}`);\n }\n const data = await res.json();\n return data.content?.[0]?.text ?? \"\";\n}\n\n// ─── JSON Parser ─────────────────────────────────────────────────────────────\nexport function safeParseJSON(str: string): unknown {\n try {\n const cleaned = str.replace(/^```(?:json)?\\n?/gm, \"\").replace(/```$/gm, \"\").trim();\n return JSON.parse(cleaned);\n } catch {\n return str;\n }\n}\n",[],[144,194],"9a1ccd36-200f-11f1-a575-42dde27851f2","graph.ts","9a1ccdea-200f-11f1-a575-42dde27851f2",17,["D",1773538680730],"import { StateGraph, START, END } from \"npm:@langchain/langgraph@^0.2\";\nimport { AgentState } from \"./state.ts\";\nimport { detectMode } from \"./nodes/detectMode.ts\";\nimport { analyzeInput } from \"./nodes/analyzeInput.ts\";\nimport { generateTestCases } from \"./nodes/generateTestCases.ts\";\nimport { triageFailure } from \"./nodes/triageFailure.ts\";\nimport { adviseStrategy } from \"./nodes/adviseStrategy.ts\";\nimport { assembleFinal } from \"./nodes/assembleFinal.ts\";\n\n// ─── Routing Function ────────────────────────────────────────────────────────\nfunction routeByMode(state: typeof AgentState.State): string {\n switch (state.detectedMode) {\n case \"triage\": return \"triageFailure\";\n case \"strategy\": return \"adviseStrategy\";\n default: return \"generateTestCases\";\n }\n}\n\n// ─── Build the Graph ─────────────────────────────────────────────────────────\nconst workflow = new StateGraph(AgentState)\n .addNode(\"detectMode\", detectMode)\n .addNode(\"analyzeInput\", analyzeInput)\n .addNode(\"generateTestCases\", generateTestCases)\n .addNode(\"triageFailure\", triageFailure)\n .addNode(\"adviseStrategy\", adviseStrategy)\n .addNode(\"assembleFinal\", assembleFinal)\n .addEdge(START, \"detectMode\")\n .addEdge(\"detectMode\", \"analyzeInput\")\n .addConditionalEdges(\"analyzeInput\", routeByMode, {\n generateTestCases: \"generateTestCases\",\n triageFailure: \"triageFailure\",\n adviseStrategy: \"adviseStrategy\",\n })\n .addEdge(\"generateTestCases\", \"assembleFinal\")\n .addEdge(\"triageFailure\", \"assembleFinal\")\n .addEdge(\"adviseStrategy\", \"assembleFinal\")\n .addEdge(\"assembleFinal\", END);\n\nexport const graph = workflow.compile();\n",[],[144,202],"6b2fde64-200f-11f1-8c77-42dde27851f2","config.ts","6b2fdf54-200f-11f1-8c77-42dde27851f2",7,["D",1773538601999],"// ─── Configuration ───────────────────────────────────────────────────────────\nexport const ANTHROPIC_URL = \"https://api.z.ai/api/anthropic/v1/messages\";\nexport const ANTHROPIC_MODEL = \"anthropic/claude-opus-4-20250514\";\nexport const ANTHROPIC_API_KEY = Deno.env.get(\"ANTHROPIC_API_KEY\") ?? \"\";\n\n// Val Town env vars use underscores; HTTP header is \"X-API-KEY\"\nexport const GATEWAY_API_KEY = Deno.env.get(\"X_API_KEY\") ?? \"\";\n",[],[144,210],"772e68ca-200f-11f1-aeda-42dde27851f2","auth.ts","772e6992-200f-11f1-aeda-42dde27851f2",10,["D",1773538622125],"import { GATEWAY_API_KEY } from \"./config.ts\";\n\n// ─── Auth Helper ─────────────────────────────────────────────────────────────\nexport function authenticateRequest(req: Request): boolean {\n if (!GATEWAY_API_KEY) return true;\n const provided = req.headers.get(\"X-API-KEY\") ?? \"\";\n return provided === GATEWAY_API_KEY;\n}\n\n// ─── CORS ────────────────────────────────────────────────────────────────────\nexport const corsHeaders = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Content-Type\": \"application/json\",\n};\n\nexport function handleCORS(): Response {\n return new Response(null, {\n headers: {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type, X-API-KEY\",\n },\n });\n}\n",[],[144,218],"8b4a47b6-200f-11f1-8c77-42dde27851f2","triageFailure.ts","8b4a487e-200f-11f1-8c77-42dde27851f2","670c7bb2-200f-11f1-8c77-42dde27851f2",14,["D",1773538655859],"import { callLLM } from \"../llm.ts\";\nimport type { AgentState } from \"../state.ts\";\n\nexport async function triageFailure(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are a senior mobile QA engineer specializing in failure analysis. Analyze the provided test failure / crash log / bug report.\n\nProvide:\n1. failureClassification: UI regression | crash | network error | flaky test | data issue | platform-specific bug | race condition | memory leak\n2. severityAssessment: blocker / critical / major / minor\n3. rootCauseAnalysis: Most likely cause based on the symptoms\n4. platformImpact: iOS-only, Android-only, or cross-platform\n5. suggestedFix: Concrete steps the dev team should take\n6. regressionRisk: What other areas might be affected\n7. testImprovement: How to make the test more robust to prevent false positives\n8. automationNote: If relevant, suggest automation improvements (Appium, Espresso, XCUITest, etc.)\n\nRespond in structured JSON.`,\n `Failure input: ${state.input}\\n\\nAnalysis context: ${state.analysisResult}`,\n );\n return { triageResult: result };\n}\n",[],[144,234,226],"nodes","85564a1c-200f-11f1-9db9-42dde27851f2","generateTestCases.ts","85564abc-200f-11f1-9db9-42dde27851f2",13,["D",1773538645875],"import { callLLM } from \"../llm.ts\";\nimport type { AgentState } from \"../state.ts\";\n\nexport async function generateTestCases(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are an expert mobile QA test engineer. Using the analysis context provided, generate comprehensive test cases.\n\nFor each test case provide:\n- id: TC-XXX\n- title: concise description\n- priority: P0 (critical) / P1 (high) / P2 (medium) / P3 (low)\n- type: functional | UI | performance | accessibility | security | edge-case\n- platforms: iOS | Android | both\n- preconditions: what must be true before executing\n- steps: numbered test steps\n- expected: expected result\n- automatable: yes/no with suggested framework (XCUITest, Espresso, Appium, Detox, Maestro)\n\nCover: happy path, negative cases, boundary values, interruptions (calls, notifications, backgrounding), network conditions, accessibility, and device rotation.\n\nRespond in JSON array format.`,\n `User request: ${state.input}\\n\\nAnalysis context: ${state.analysisResult}`,\n );\n return { testCases: result };\n}\n",[],[144,234,236],"7c251374-200f-11f1-9258-42dde27851f2","detectMode.ts","7c251432-200f-11f1-9258-42dde27851f2",11,["D",1773538630452],"import { callLLM } from \"../llm.ts\";\nimport type { AgentState } from \"../state.ts\";\n\nexport async function detectMode(state: typeof AgentState.State) {\n if (state.mode !== \"auto\") {\n return { detectedMode: state.mode };\n }\n\n const classification = await callLLM(\n `You are a classifier for mobile QA requests. Respond with exactly one word:\n- \"generate\" if the user wants test cases generated for a feature/screen\n- \"triage\" if the user is sharing a test failure, crash log, stack trace, or bug report\n- \"strategy\" if the user wants test strategy advice, test pyramid planning, or coverage analysis\nRespond with ONLY the single word.`,\n state.input,\n );\n\n const mode = classification.trim().toLowerCase();\n const valid = [\"generate\", \"triage\", \"strategy\"];\n return { detectedMode: valid.includes(mode) ? mode : \"generate\" };\n}\n",[],[144,234,244],"94f2dee0-200f-11f1-8b7a-42dde27851f2","assembleFinal.ts","94f2df9e-200f-11f1-8b7a-42dde27851f2",16,["D",1773538672067],"import { safeParseJSON } from \"../llm.ts\";\nimport type { AgentState } from \"../state.ts\";\n\nexport async function assembleFinal(state: typeof AgentState.State) {\n const mode = state.detectedMode;\n const modeLabel =\n mode === \"generate\" ? \"Test Case Generation\"\n : mode === \"triage\" ? \"Failure Triage\"\n : \"Test Strategy Advisory\";\n\n const primaryResult =\n mode === \"generate\" ? state.testCases\n : mode === \"triage\" ? state.triageResult\n : state.strategyResult;\n\n return {\n finalOutput: JSON.stringify({\n agent: \"Mobile QA Agent (LangGraph)\",\n mode: modeLabel,\n analysis: safeParseJSON(state.analysisResult),\n result: safeParseJSON(primaryResult),\n }, null, 2),\n };\n}\n",[],[144,234,252],"7fddda64-200f-11f1-abd3-42dde27851f2","analyzeInput.ts","7fdddb36-200f-11f1-abd3-42dde27851f2",12,["D",1773538636695],"import { callLLM } from \"../llm.ts\";\nimport type { AgentState } from \"../state.ts\";\n\nexport async function analyzeInput(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are a senior mobile QA engineer. Analyze the user's input and extract:\n1. Platform context (iOS, Android, or both)\n2. App area / feature under test\n3. Key risk areas and edge cases to consider\n4. Any implicit requirements (accessibility, localization, offline, etc.)\nRespond in structured JSON with keys: platform, feature, risks, implicitRequirements`,\n state.input,\n );\n return { analysisResult: result };\n}\n",[],[144,234,260],"914e5b84-200f-11f1-aff4-42dde27851f2","adviseStrategy.ts","914e5c2e-200f-11f1-aff4-42dde27851f2",15,["D",1773538665954],"import { callLLM } from \"../llm.ts\";\nimport type { AgentState } from \"../state.ts\";\n\nexport async function adviseStrategy(state: typeof AgentState.State) {\n const result = await callLLM(\n `You are a mobile test strategy architect. Based on the app description provided, create a comprehensive mobile test strategy.\n\nInclude:\n1. testPyramid: Ratio of unit / integration / E2E tests with justification\n2. frameworkSelection: Recommended frameworks per layer (XCUITest, Espresso, Appium, Detox, Maestro, EarlGrey) with pros/cons for this specific app\n3. platformCoverageMatrix: What to test on each platform, device tiers, OS versions\n4. riskBasedPrioritization: Which features need most coverage and why\n5. cicdIntegration: How to structure the test pipeline (pre-merge, post-merge, nightly, release)\n6. deviceFarmRecommendation: BrowserStack, AWS Device Farm, Firebase Test Lab, Sauce Labs — which fits best\n7. metricsAndKPIs: What to track (flake rate, coverage %, pass rate, execution time)\n8. shiftLeftRecommendations: What can be caught earlier in the development cycle\n\nRespond in structured JSON.`,\n `App description: ${state.input}\\n\\nAnalysis context: ${state.analysisResult}`,\n );\n return { strategyResult: result };\n}\n",[],[144,234,268],"670c7aea-200f-11f1-8c77-42dde27851f2",6,["D",1773538595057],[164,165,166,167,168,169],[144,234],["D",1773538591691],[163,170,171,172,173,174,175],[144],["D",1773535238405],["D",1789528852539],{"_97":96,"_105":101},{"_97":96,"_98":99,"_100":101,"_18":54,"_102":103,"_104":26},{"_13":86,"_32":87,"_42":41,"_88":43,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":44,"_95":96},"ctx",{"_79":-5,"_125":321,"_322":323,"_324":325,"_326":26,"_327":26,"_328":26,"_329":24,"_330":-5,"_331":-7,"_332":-7,"_333":60,"_334":26,"_335":26,"_336":-5,"_337":26,"_338":26,"_339":26,"_340":-5},"ENV",{"_292":293,"_294":295,"_296":87,"_297":298,"_299":300,"_301":302,"_303":304,"_305":306,"_307":308,"_309":310,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320},"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 · v18