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Nexuses Core OS V10.0 — Universal AI Gateway\n// HTTP Entry Point with IAP, JSON-RPC, strict auth, and Dynamic Request Normalizer\n\nimport {\n callAdapterDirect,\n dispatchTask,\n getHistory,\n getSystemStatus,\n getTaskStatus,\n} from \"./TaskDispatcher.ts\";\nimport { getAgentManifest } from \"./AgentManager.ts\";\nimport { listAdapters } from \"./UniversalAdapter.ts\";\nimport { getModelManifest } from \"./hf.ts\";\nimport { initDB } from \"./db.ts\";\nimport { buildCapabilityList, getServiceManifest } from \"./RegistryManager.ts\";\nimport { processHandshake, processRPC } from \"./IAP.ts\";\nimport type { JSONRPCRequest } from \"./IAP.ts\";\n\nconst CORS = {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type, Authorization\",\n};\n\nfunction json(body: any, status = 200) {\n return new Response(JSON.stringify(body, null, 2), { status, headers: CORS });\n}\n\nfunction getEnv(key: string): string | undefined {\n try {\n return Deno.env.get(key);\n } catch {\n return undefined;\n }\n}\n\nfunction getEndpoint(req: Request): string {\n const url = new URL(req.url);\n return `${url.protocol}//${url.host}/`;\n}\n\n// --- Universal Request Normalizer ---\n// خود بخود ریکویسٹ کو پہچان کر فارمیٹ سیٹ کرتا ہے\nfunction normalizeRequest(payload: any) {\n const possibleTaskKeys = [\n \"task\",\n \"query\",\n \"prompt\",\n \"command\",\n \"message\",\n \"input\",\n \"body\",\n \"text\",\n ];\n let task = \"general\";\n let data = { ...payload };\n\n for (const key of possibleTaskKeys) {\n if (payload[key]) {\n task = payload[key];\n delete data[key];\n break;\n }\n }\n return { task, data };\n}\n\n// --- Auth Validation ---\nfunction validateAuth(req: Request): boolean {\n const apiKey = getEnv(\"NEXUSES_API_KEY\");\n if (!apiKey) return true; // Dev mode\n const auth = req.headers.get(\"authorization\") || \"\";\n const token = auth.replace(/^Bearer\\s+/i, \"\").trim();\n return token === apiKey;\n}\n\n// --- Rate Limiting ---\nconst RATE_LIMIT = new Map();\nfunction isRateLimited(ip: string): boolean {\n const now = Date.now();\n const ts = RATE_LIMIT.get(ip)?.filter((t) => now - t < 60000) || [];\n if (ts.length >= 50) return true; // 50 requests per minute\n ts.push(now);\n RATE_LIMIT.set(ip, ts);\n return false;\n}\n\n// --- HTTP Handler ---\nexport default async function (req: Request): Promise {\n if (req.method === \"OPTIONS\") return new Response(null, { headers: CORS });\n\n const url = new URL(req.url);\n const path = url.pathname;\n const ip = req.headers.get(\"x-forwarded-for\")?.split(\",\")[0] ||\n req.headers.get(\"cf-connecting-ip\") || \"unknown\";\n const endpoint = getEndpoint(req);\n\n await initDB();\n\n // --- GET Routes (Public Discovery) ---\n if (req.method === \"GET\") {\n if (path === \"/\" || path === \"\") return json(await getSystemStatus());\n if (path === \"/status\") return json(await getSystemStatus());\n if (path === \"/register\") return json(getServiceManifest(endpoint));\n if (path === \"/agents\") return json({ agents: getAgentManifest() });\n if (path === \"/adapters\") return json({ adapters: listAdapters() });\n if (path === \"/models\") return json({ models: getModelManifest() });\n if (path === \"/capabilities\") {\n return json({ capabilities: buildCapabilityList() });\n }\n if (path === \"/history\") {\n const limit = parseInt(url.searchParams.get(\"limit\") || \"20\");\n return json({ history: await getHistory(limit) });\n }\n const taskMatch = path.match(/^\\/task\\/(.+)$/);\n if (taskMatch) {\n const task = await getTaskStatus(taskMatch[1]);\n return task\n ? json({ task })\n : json({ status: \"failure\", message: \"Task not found\" }, 404);\n }\n return json({ error: \"Unknown endpoint\" }, 404);\n }\n\n // --- POST Routes ---\n if (req.method !== \"POST\") {\n return json({ error: \"Only GET and POST supported\" }, 405);\n }\n\n let payload: any;\n try {\n payload = await req.json();\n } catch {\n return json({ status: \"failure\", message: \"Invalid JSON body\" }, 400);\n }\n\n // 1. Public Task Endpoint (Normalizes request automatically)\n if (path === \"/public-task\") {\n if (isRateLimited(ip)) {\n return json({ status: \"failure\", message: \"Rate limit exceeded\" }, 429);\n }\n\n // یہاں Normalizer استعمال ہو رہا ہے\n const { task, data } = normalizeRequest(payload);\n\n const response = await dispatchTask(task, data, \"AUTO\");\n return json(response, response.status === \"success\" ? 200 : 500);\n }\n\n // 2. Strict Auth Check for ALL OTHER POST endpoints\n if (!validateAuth(req)) {\n return json({\n status: \"failure\",\n message: \"Unauthorized — provide valid Bearer token\",\n }, 401);\n }\n\n if (isRateLimited(ip)) {\n return json({ status: \"failure\", message: \"Rate limit exceeded\" }, 429);\n }\n\n // Protected Routes\n if (path === \"/rpc\") {\n const rpcResponse = await processRPC(\n payload as JSONRPCRequest,\n endpoint,\n dispatchTask,\n );\n return json(rpcResponse);\n }\n\n if (path === \"/handshake\") {\n if (payload.jsonrpc === \"2.0\" && payload.method === \"handshake\") {\n return json(await processHandshake(payload, endpoint));\n }\n return json({ error: \"Invalid handshake\" }, 400);\n }\n\n if (path === \"/adapter\") {\n const { adapter, action, data } = payload;\n const result = await callAdapterDirect(\n adapter,\n action || \"default\",\n data || {},\n );\n return json({\n status: result.success ? \"success\" : \"failure\",\n data: result.data,\n });\n }\n\n // Default Universal Task (Protected)\n const task = payload?.task || \"general\";\n const data = payload?.data || {};\n const response = await dispatchTask(task, data, payload?.mode || \"AUTO\");\n return json(response, response.status === \"success\" ? 200 : 500);\n}","label",[132],"ebb8c0b4-d70b-473f-ba8a-2796dbd8e7ac","hf.ts","73dfc540-7921-11f1-aa04-1607ee4eb77e",6,["D",1783332056080],3,"// HF Model Orchestration — Nexuses Core OS V10.0 (Adapter-Driven)\n// Now using UniversalAdapter to avoid tunnel/connection errors.\n\nimport { routeToAdapter } from \"./UniversalAdapter.ts\";\n\n// --- Model Registry (Updated with Mobile-Friendly Models) ---\nexport type ModelKey = \"qwen_coder\" | \"llama\" | \"phi3\" | \"mistral\";\nexport type TaskType = \"coding\" | \"creative\" | \"analysis\" | \"general\";\n\ninterface ModelConfig {\n id: string; // Hugging Face Model ID\n label: string;\n bestFor: TaskType[];\n keywords: string[];\n maxTokens: number;\n temperature: number;\n fallback: ModelKey | null;\n}\n\nexport const HF_MODELS: Record = {\n qwen_coder: {\n id: \"Qwen/Qwen2.5-Coder-7B-Instruct\",\n label: \"Qwen2.5 Coder 7B\",\n bestFor: [\"coding\"],\n keywords: [\"code\", \"coding\", \"debug\", \"bug\", \"fix\", \"program\", \"refactor\"],\n maxTokens: 800,\n temperature: 0.3,\n fallback: \"mistral\",\n },\n llama: {\n id: \"meta-llama/Llama-3.2-1B-Instruct\",\n label: \"Llama 3.2 1B\",\n bestFor: [\"creative\"],\n keywords: [\"write\", \"writing\", \"blog\", \"story\", \"creative\", \"social\"],\n maxTokens: 1000,\n temperature: 0.8,\n fallback: \"mistral\",\n },\n phi3: {\n id: \"microsoft/Phi-3-mini-4k-instruct\",\n label: \"Phi-3 Mini 4K\",\n bestFor: [\"analysis\", \"general\"],\n keywords: [\"analyze\", \"data\", \"report\", \"csv\", \"summarize\", \"search\"],\n maxTokens: 500,\n temperature: 0.5,\n fallback: \"mistral\",\n },\n mistral: {\n id: \"google/gemma-2-2b-it\", // Mistral ke bajaye ab Gemma 2B istemal hoga\n label: \"Gemma 2 2B\",\n bestFor: [\"general\"],\n keywords: [\"general\", \"help\", \"chat\", \"explain\", \"unknown\"],\n maxTokens: 500,\n temperature: 0.7,\n fallback: null,\n },\n};\n\n// --- Selection Logic ---\nexport function classifyTask(taskText: string): TaskType {\n const lower = taskText.toLowerCase();\n const scores = { coding: 0, creative: 0, analysis: 0, general: 0 };\n for (const cfg of Object.values(HF_MODELS)) {\n for (const type of cfg.bestFor) {\n scores[type] += cfg.keywords.filter((k) => lower.includes(k)).length;\n }\n }\n let best: TaskType = \"general\";\n let bestScore = 0;\n for (const [type, score] of Object.entries(scores)) {\n if (score > bestScore) {\n bestScore = score;\n best = type as TaskType;\n }\n }\n return best;\n}\n\nexport function modelForTaskType(type: TaskType): ModelKey {\n switch (type) {\n case \"coding\":\n return \"qwen_coder\";\n case \"creative\":\n return \"llama\";\n case \"analysis\":\n return \"phi3\";\n default:\n return \"mistral\";\n }\n}\n\nexport function selectModel(taskText: string): ModelKey {\n return modelForTaskType(classifyTask(taskText));\n}\n\n// --- Integration with UniversalAdapter ---\nexport interface HFResult {\n success: boolean;\n model: ModelKey;\n modelId: string;\n text: string;\n taskType: TaskType;\n error?: string;\n attempts?: ModelKey[];\n}\n\nexport async function callHFWithFallback(\n prompt: string,\n modelOverride?: ModelKey,\n): Promise {\n const modelKey = modelOverride || selectModel(prompt);\n const cfg = HF_MODELS[modelKey];\n\n // یہاں ہم UniversalAdapter کو کال کر رہے ہیں (Tunnel Error کا حل)\n const result = await routeToAdapter(\"huggingface\", \"generate\", {\n task: prompt,\n model: cfg.id, // Adapter hamara dynamic model select karega\n });\n\n if (result.success) {\n return {\n success: true,\n model: modelKey,\n modelId: cfg.id,\n text: result.data.response,\n taskType: classifyTask(prompt),\n attempts: [modelKey],\n };\n }\n\n // اگر فیل ہو جائے تو ایرر واپس کریں\n return {\n success: false,\n model: modelKey,\n modelId: cfg.id,\n text: \"\",\n taskType: classifyTask(prompt),\n error: result.message,\n };\n}\n\nexport async function callHF(\n prompt: string,\n model?: ModelKey,\n): Promise {\n return callHFWithFallback(prompt, model);\n}\n\n// --- Discovery ---\nexport function getModelManifest() {\n return Object.entries(HF_MODELS).map(([key, cfg]) => ({\n key,\n id: cfg.id,\n label: cfg.label,\n bestFor: cfg.bestFor,\n status: \"ADAPTER_LINKED\",\n }));\n}\n\nexport function getSelectionInfo(taskText: string) {\n const taskType = classifyTask(taskText);\n const modelKey = modelForTaskType(taskType);\n const cfg = HF_MODELS[modelKey];\n return {\n taskType,\n selectedModel: modelKey,\n modelId: cfg.id,\n modelLabel: cfg.label,\n fallbackModel: cfg.fallback,\n };\n}\n\nexport function getHFToken() {\n return Deno.env.get(\"HF_API_KEY\");\n}",[142],"0a0d38fd-d55c-4459-903e-b9e6894c4cf2","db.ts","b7760422-7921-11f1-a660-1607ee4eb77e",9,["D",1783332132291],"// SQLite Persistent State Layer — Nexuses Core OS V9.0\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nexport interface TaskRecord {\n id: string;\n task: string;\n agent: string;\n status: string;\n data: string;\n result: string;\n created_at: string;\n updated_at: string;\n}\n\nexport interface MemoryRecord {\n key: string;\n value: string;\n created_at: string;\n}\n\nconst INIT_SQL = [\n `CREATE TABLE IF NOT EXISTS tasks (\n id TEXT PRIMARY KEY,\n task TEXT NOT NULL,\n agent TEXT,\n status TEXT NOT NULL,\n data TEXT,\n result TEXT,\n created_at TEXT NOT NULL,\n updated_at TEXT NOT NULL\n )`,\n `CREATE TABLE IF NOT EXISTS memory (\n key TEXT PRIMARY KEY,\n value TEXT NOT NULL,\n created_at TEXT NOT NULL\n )`,\n `CREATE TABLE IF NOT EXISTS workflows (\n id TEXT PRIMARY KEY,\n task_id TEXT NOT NULL,\n step INTEGER NOT NULL,\n agent TEXT,\n status TEXT,\n detail TEXT,\n created_at TEXT NOT NULL\n )`,\n `CREATE TABLE IF NOT EXISTS delegations (\n id TEXT PRIMARY KEY,\n task_id TEXT NOT NULL,\n target TEXT NOT NULL,\n task TEXT NOT NULL,\n status TEXT NOT NULL,\n result TEXT,\n created_at TEXT NOT NULL\n )`,\n];\n\nlet initialized = false;\n\nexport async function initDB() {\n if (initialized) return;\n await sqlite.batch(INIT_SQL.map((sql) => ({ sql })));\n initialized = true;\n}\n\nexport async function insertTask(\n id: string,\n task: string,\n agent: string,\n status: string,\n data: any,\n result: any,\n) {\n const now = new Date().toISOString();\n await sqlite.execute({\n sql:\n `INSERT INTO tasks (id, task, agent, status, data, result, created_at, updated_at)\n VALUES (?, ?, ?, ?, ?, ?, ?, ?)`,\n args: [\n id,\n task,\n agent,\n status,\n JSON.stringify(data),\n JSON.stringify(result),\n now,\n now,\n ],\n });\n}\n\nexport async function updateTaskStatus(\n id: string,\n status: string,\n result: any,\n) {\n const now = new Date().toISOString();\n await sqlite.execute({\n sql: `UPDATE tasks SET status = ?, result = ?, updated_at = ? WHERE id = ?`,\n args: [status, JSON.stringify(result), now, id],\n });\n}\n\nexport async function getTask(id: string): Promise {\n const res = await sqlite.execute({\n sql: `SELECT * FROM tasks WHERE id = ?`,\n args: [id],\n });\n return (res.rows[0] as TaskRecord) || null;\n}\n\nexport async function getRecentTasks(limit = 20): Promise {\n const res = await sqlite.execute({\n sql: `SELECT * FROM tasks ORDER BY created_at DESC LIMIT ?`,\n args: [limit],\n });\n return res.rows as TaskRecord[];\n}\n\nexport async function logWorkflowStep(\n taskId: string,\n step: number,\n agent: string,\n status: string,\n detail: string,\n) {\n const id = `wf_${taskId}_${step}`;\n const now = new Date().toISOString();\n await sqlite.execute({\n sql:\n `INSERT INTO workflows (id, task_id, step, agent, status, detail, created_at)\n VALUES (?, ?, ?, ?, ?, ?, ?)`,\n args: [id, taskId, step, agent, status, detail, now],\n });\n}\n\nexport async function remember(key: string, value: any) {\n const now = new Date().toISOString();\n await sqlite.execute({\n sql:\n `INSERT OR REPLACE INTO memory (key, value, created_at) VALUES (?, ?, ?)`,\n args: [key, JSON.stringify(value), now],\n });\n}\n\nexport async function recall(key: string): Promise {\n const res = await sqlite.execute({\n sql: `SELECT * FROM memory WHERE key = ?`,\n args: [key],\n });\n const row = res.rows[0] as MemoryRecord | undefined;\n return row ? 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Diff · v13