[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_319":320,"_321":322},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":-7,"_18":19,"_17":-7,"_239":-5,"_20":240,"_22":241,"_242":243,"_244":245,"_25":246,"_24":-5,"_247":-5,"_248":-5,"_249":54,"_250":251,"_252":45,"_253":-5,"_254":-5,"_255":256},"routes/_app.x.$handle.$name.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","khawjaahmad","name","mobile-qa-agent","branchName","main","version","path","","project",{"_34":181,"_13":14,"_46":182,"_183":-5,"_184":54,"_185":186,"_187":186,"_188":189,"_190":-5,"_191":192,"_193":-5,"_194":54,"_195":-5,"_196":-5,"_197":62,"_198":199,"_200":201,"_202":203,"_204":205,"_206":-5,"_207":208,"_209":208,"_210":211,"_212":211,"_213":211,"_214":208,"_215":208,"_216":217,"_218":219,"_220":221,"_222":54},"tree",[65,66],"file","contents",[32,33],"upstream","pull","ahead","behind","envVars",{"_34":58,"_13":59,"_37":60,"_39":-5,"_40":41,"_42":48,"_44":45,"_46":61,"_17":62,"_49":63,"_51":-5,"_53":54,"_55":-5,"_18":64},{"_34":35,"_13":36,"_37":38,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_17":48,"_49":50,"_51":52,"_53":54,"_55":56,"_18":57},"id","4b3fd354-202b-11f1-92ec-42dde27851f2","main.ts","fileId","b7ef2866-2007-11f1-a709-42dde27851f2","parentId","branchId","9653515a-2007-11f1-a5c4-42dde27851f2","branchVersion",21,"latest",true,"createdAt",["D",1773550574319],5,"fileType","http","content","import { graph } from \"./src/graph.ts\";\nimport { safeParseJSON } from \"./src/llm.ts\";\nimport { ANTHROPIC_API_KEY } from \"./src/config.ts\";\nimport { authenticateRequest, corsHeaders, handleCORS } from \"./src/auth.ts\";\n\n// ─── API Info Payload ────────────────────────────────────────────────────────\nconst API_INFO = {\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: \"1.4.0\",\n poweredBy: \"LangGraph StateGraph + Anthropic Claude\",\n authentication: { type: \"API Key\", header: \"X-API-KEY\", note: \"Required for POST requests. GET is public.\" },\n capabilities: [\"generate\", \"triage\", \"strategy\", \"auto\"],\n usage: {\n method: \"POST\",\n contentType: \"application/json\",\n headers: { \"X-API-KEY\": \"\" },\n body: { mode: \"auto | generate | triage | strategy (default: auto)\", input: \"Your feature description, failure log, or app description\" },\n },\n graph: {\n nodes: [\"detectMode\", \"analyzeInput\", \"generateTestCases\", \"triageFailure\", \"adviseStrategy\", \"assembleFinal\"],\n flow: \"START → detectMode → analyzeInput → [conditional: generate|triage|strategy] → assembleFinal → END\",\n },\n};\n\n// ─── HTTP Handler ────────────────────────────────────────────────────────────\nexport default async function handler(req: Request): Promise {\n if (req.method === \"OPTIONS\") return handleCORS();\n\n // GET → JSON API info (public)\n if (req.method === \"GET\") {\n return new Response(JSON.stringify(API_INFO, 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 graph.invoke({\n mode, input,\n detectedMode: \"\", analysisResult: \"\", testCases: \"\",\n triageResult: \"\", strategyResult: \"\", 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\" }), { status: 405, headers: corsHeaders });\n}\n","deleted",false,"label","mobile-qa",[36],"650ad1ce-200f-11f1-9f2f-42dde27851f2","src","650ad296-200f-11f1-9f2f-42dde27851f2",["D",1773538591691],0,"directory",[59],{"_34":58,"_13":59,"_37":60,"_39":-5,"_40":41,"_42":48,"_44":45,"_46":71,"_17":62,"_49":63,"_51":-5,"_53":54,"_55":-5,"_68":72,"_18":73},{"_34":35,"_13":36,"_37":38,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":67,"_17":48,"_49":50,"_51":52,"_53":54,"_55":56,"_68":69,"_18":70},["D",1773550574319],"children",[],[36],["D",1773538591691],[74,75,76,77,78,79],[59],{"_34":120,"_13":121,"_37":122,"_39":60,"_40":41,"_42":123,"_44":45,"_46":124,"_17":62,"_49":63,"_51":-5,"_53":54,"_55":-5,"_68":125,"_18":126},{"_34":112,"_13":113,"_37":114,"_39":60,"_40":41,"_42":115,"_44":45,"_46":116,"_17":62,"_49":24,"_51":117,"_53":54,"_55":-5,"_68":118,"_18":119},{"_34":104,"_13":105,"_37":106,"_39":60,"_40":41,"_42":107,"_44":45,"_46":108,"_17":62,"_49":24,"_51":109,"_53":54,"_55":-5,"_68":110,"_18":111},{"_34":96,"_13":97,"_37":98,"_39":60,"_40":41,"_42":99,"_44":45,"_46":100,"_17":62,"_49":24,"_51":101,"_53":54,"_55":-5,"_68":102,"_18":103},{"_34":88,"_13":89,"_37":90,"_39":60,"_40":41,"_42":91,"_44":45,"_46":92,"_17":62,"_49":24,"_51":93,"_53":54,"_55":-5,"_68":94,"_18":95},{"_34":80,"_13":81,"_37":82,"_39":60,"_40":41,"_42":83,"_44":45,"_46":84,"_17":62,"_49":24,"_51":85,"_53":54,"_55":-5,"_68":86,"_18":87},"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",[],[59,81],"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",[],[59,89],"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",[],[59,97],"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",[],[59,105],"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",[],[59,113],"670c7aea-200f-11f1-8c77-42dde27851f2","nodes","670c7bb2-200f-11f1-8c77-42dde27851f2",6,["D",1773538595057],[127,128,129,130,131,132],[59,121],{"_34":173,"_13":174,"_37":175,"_39":122,"_40":41,"_42":176,"_44":45,"_46":177,"_17":62,"_49":24,"_51":178,"_53":54,"_55":-5,"_68":179,"_18":180},{"_34":165,"_13":166,"_37":167,"_39":122,"_40":41,"_42":168,"_44":45,"_46":169,"_17":62,"_49":24,"_51":170,"_53":54,"_55":-5,"_68":171,"_18":172},{"_34":157,"_13":158,"_37":159,"_39":122,"_40":41,"_42":160,"_44":45,"_46":161,"_17":62,"_49":24,"_51":162,"_53":54,"_55":-5,"_68":163,"_18":164},{"_34":149,"_13":150,"_37":151,"_39":122,"_40":41,"_42":152,"_44":45,"_46":153,"_17":62,"_49":24,"_51":154,"_53":54,"_55":-5,"_68":155,"_18":156},{"_34":141,"_13":142,"_37":143,"_39":122,"_40":41,"_42":144,"_44":45,"_46":145,"_17":62,"_49":24,"_51":146,"_53":54,"_55":-5,"_68":147,"_18":148},{"_34":133,"_13":134,"_37":135,"_39":122,"_40":41,"_42":136,"_44":45,"_46":137,"_17":62,"_49":24,"_51":138,"_53":54,"_55":-5,"_68":139,"_18":140},"8b4a47b6-200f-11f1-8c77-42dde27851f2","triageFailure.ts","8b4a487e-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",[],[59,121,134],"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",[],[59,121,142],"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",[],[59,121,150],"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",[],[59,121,158],"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",[],[59,121,166],"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",[],[59,121,174],"9652ee22-2007-11f1-a5c4-42dde27851f2",["D",1773535238405],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","LangGraph mobile QA agent: test gen, triage, 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