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mobile QA agent: test gen, triage, 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{ 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",[],[161,180,187],{"_104":196,"_97":197,"_162":198,"_164":181,"_165":147,"_166":199,"_168":169,"_106":200,"_101":33,"_171":191,"_173":201,"_174":22,"_175":-5,"_176":202,"_100":203},"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",[],[161,180,197],{"_104":205,"_97":206,"_162":207,"_164":181,"_165":147,"_166":208,"_168":169,"_106":209,"_101":33,"_171":191,"_173":210,"_174":22,"_175":-5,"_176":211,"_100":212},"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",[],[161,180,206],{"_104":214,"_97":215,"_162":216,"_164":181,"_165":147,"_166":217,"_168":169,"_106":218,"_101":33,"_171":191,"_173":219,"_174":22,"_175":-5,"_176":220,"_100":221},"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",[],[161,180,215],{"_104":223,"_97":224,"_162":225,"_164":181,"_165":147,"_166":226,"_168":169,"_106":227,"_101":33,"_171":191,"_173":228,"_174":22,"_175":-5,"_176":229,"_100":230},"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",[],[161,180,224],{"_104":232,"_97":233,"_162":234,"_164":181,"_165":147,"_166":235,"_168":169,"_106":236,"_101":33,"_171":191,"_173":237,"_174":22,"_175":-5,"_176":238,"_100":239},"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",[],[161,180,233],[161,180],{"_104":242,"_97":243,"_162":244,"_164":163,"_165":147,"_166":245,"_168":169,"_106":246,"_101":33,"_171":191,"_173":247,"_174":22,"_175":-5,"_176":248,"_100":249},"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",[],[161,243],{"_104":251,"_97":252,"_162":253,"_164":163,"_165":147,"_166":254,"_168":169,"_106":255,"_101":33,"_171":191,"_173":256,"_174":22,"_175":-5,"_176":257,"_100":258},"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",[],[161,252],{"_104":260,"_97":261,"_162":262,"_164":163,"_165":147,"_166":263,"_168":169,"_106":264,"_101":33,"_171":191,"_173":265,"_174":22,"_175":-5,"_176":266,"_100":267},"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",[],[161,261],{"_104":269,"_97":270,"_162":271,"_164":163,"_165":147,"_166":272,"_168":169,"_106":273,"_101":33,"_171":191,"_173":274,"_174":22,"_175":-5,"_176":275,"_100":276},"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",[],[161,270],{"_104":278,"_97":279,"_162":280,"_164":163,"_165":147,"_166":281,"_168":169,"_106":282,"_101":33,"_171":191,"_173":283,"_174":22,"_175":-5,"_176":284,"_100":285},"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",[],[161,279],[161],{"_104":288,"_97":289,"_162":290,"_164":-5,"_165":147,"_166":146,"_168":169,"_106":291,"_101":167,"_171":292,"_173":293,"_174":22,"_175":294,"_176":295,"_100":296},"4b3fd354-202b-11f1-92ec-42dde27851f2","main.ts","b7ef2866-2007-11f1-a709-42dde27851f2",["D",1773550574319],"http","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. 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