Deploy KW Multi AI Agent backend (2026-04-12_02-40)

.env.example

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+# Runtime
+APP_NAME=KW Multi AI Agent Backend
+APP_ENV=development
+APP_HOST=0.0.0.0
+APP_PORT=8000
+
+# Security
+JWT_SECRET_KEY=CHANGE_ME_TO_LONG_RANDOM_SECRET
+JWT_ALGORITHM=HS256
+JWT_EXPIRE_MINUTES=1440
+
+# Admin login (optional / tools)
+ADMIN_USERNAME=admin
+ADMIN_PASSWORD=change-me-now
+
+# Dev: skip JWT on agent routes; use X-User-Id for usage attribution
+AUTH_DISABLED=false
+
+# Mobile/web app: same secret as VITE_APP_BACKEND_SECRET — POST /auth/app-token
+APP_SHARED_SECRET=
+
+# Comma-separated user ids treated as Pro (server-side)
+PRO_USER_IDS=
+
+# Legacy global AI provider when per-agent AGENT_*_PROVIDER is not set (together | runpod)
+AI_PROVIDER=together
+
+# Together AI
+TOGETHER_API_KEY=
+TOGETHER_BASE_URL=https://api.together.xyz/v1
+
+# RunPod / OpenAI-compatible
+RUNPOD_API_KEY=
+RUNPOD_BASE_URL=
+
+# Groq (e.g. default for fitness agent)
+GROQ_API_KEY=
+GROQ_BASE_URL=https://api.groq.com/openai/v1
+
+# Any OpenAI-compatible API
+OPENAI_COMPAT_API_KEY=
+OPENAI_COMPAT_BASE_URL=
+
+# Per-agent routing (optional): together | runpod | groq | openai_compat
+# AGENT_FULLSTACK_PROVIDER=together
+# AGENT_UIUX_PROVIDER=together
+# AGENT_CYBERSEC_PROVIDER=together
+# AGENT_FITNESS_PROVIDER=groq
+
+# Per-agent model id override (OpenAI-style id for that provider)
+# MODEL_FULLSTACK=meta-llama/Meta-Llama-3-8B-Instruct-Turbo
+# MODEL_FITNESS=llama-3.1-8b-instant
+
+# Daily message caps (0 = unlimited). Matches frontend src/lib/subscription.ts
+FREE_TIER_DAILY_MESSAGES=20
+PRO_TIER_DAILY_MESSAGES=300
+UNLIMITED_TIER_DAILY_MESSAGES=0
+
+# Server-side override: comma-separated user ids granted Pro/Unlimited
+# PRO_USER_IDS=naif-local-owner
+# UNLIMITED_USER_IDS=naif-local-owner
+
+# Rate limit (per IP)
+RATE_LIMIT=30/minute

Dockerfile

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+FROM python:3.11-slim
+
+# Hugging Face Spaces user
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+COPY --chown=user requirements.txt .
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+COPY --chown=user . .
+
+ENV HOST=0.0.0.0
+ENV PORT=7860
+ENV AUTH_DISABLED=true
+
+EXPOSE 7860
+
+CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

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+---
+title: KW Multi AI Agent Backend
+emoji: 🤖
+colorFrom: green
+colorTo: red
+sdk: docker
+app_port: 7860
+pinned: false
+---
+
+# KW Multi AI Agent — Backend
+
+FastAPI backend serving 4 specialized AI agents (Full-Stack, UI/UX, Cyber Security, Fitness)
+powered by Groq cloud models. Built by Naif Al-Zanki.
+
+## Required secrets
+
+Set these in **Settings → Variables and secrets** of the Space:
+
+- `GROQ_API_KEY` — your Groq cloud API key (from console.groq.com)
+- `AI_PROVIDER` — `groq`
+- `AUTH_DISABLED` — `true`
+
+## Endpoints
+
+- `GET  /health`
+- `POST /agents/fullstack/chat`
+- `POST /agents/uiux/chat`
+- `POST /agents/cybersec/chat`
+- `POST /agents/fitness/chat`
+
+## Body
+
+```json
+{
+  "message": "...",
+  "history": [],
+  "temperature": 0.6,
+  "max_tokens": 1024
+}
+```

app/__init__.py

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+"""KW Multi AI Agent backend package."""
+

app/agents.py

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+from dataclasses import dataclass
+from typing import Dict
+
+
+@dataclass(frozen=True)
+class AgentSpec:
+    id: str
+    name: str
+    model_together: str
+    model_runpod: str
+    model_groq: str
+    system_prompt: str
+    # Ollama / OpenAI-compatible local id when AGENT_*_PROVIDER=openai_compat
+    model_ollama: str = "llama3:8b"
+    default_provider: str = "groq"
+    temperature: float = 0.6
+
+
+# ============================================================
+#  Q8 Multi-Agent System  -  4 وكلاء، 4 أدمغة، 4 بائعين مختلفين
+#
+#  المالك والمطوّر: نايف الزنكي 🇰🇼 (الكويت)
+#  ملاحظة مهمة: نايف هو المطوّر — ليس هوية أي وكيل.
+# ============================================================
+
+# قاعدة لهجة وهوية وتنسيق تُحقن في كل برومبت
+_DIALECT_RULE = (
+    "\n\n=== قواعد إلزامية لا تُكسر أبداً ===\n"
+    "\n[١] الهوية:\n"
+    "- أنت ذكاء اصطناعي، اسمك مذكور فوق، ما أنت إنسان.\n"
+    "- المطوّر والمالك اسمه 'نايف الزنكي' من الكويت 🇰🇼. "
+    "تتكلم عنه بصيغة الغايب بس ('المطوّر نايف الزنكي'). "
+    "ممنوع تقول 'أنا نايف'.\n"
+    "\n[٢] اللغة واللهجة — قانون حديدي:\n"
+    "- إذا المستخدم كتب بالإنجليزي → رد بالإنجليزي.\n"
+    "- إذا كتب بالفصحى → رد بالفصحى السليمة.\n"
+    "- إذا كتب بالخليجي/الكويتي → رد بالكويتي الطبيعي.\n"
+    "- ممنوع منع بات أي كلمة مصرية: "
+    "(يبقى، هقولك، هقول، عايز، عاوز، إزيك، إزاي، كده، دلوقت، "
+    "معلش، كويس، بص، حاجة، ماشي، ليه، فين، ازاي، بتاع).\n"
+    "- ممنوع الكلمات الشامية: (شو، هلأ، منيح، كتير، هيك، لسا).\n"
+    "- استخدم الكلمات الكويتية الصحيحة: "
+    "(شلون = كيف، وايد = كثير، زين = جيد، عيل = إذن، "
+    "جذي = هكذا، بعد = أيضاً، لي الحين = حتى الآن، هني = هنا، "
+    "ترا = في الواقع، شكثر = كم، شنو = ماذا، منو = من، ليش = لماذا).\n"
+    "- ممنوع كتابة كلمات ملتصقة أو مبتكرة زي 'مابشكل'. "
+    "اكتب 'ما في مشكلة' أو 'عادي' أو 'تمام' بس.\n"
+    "- اكتب كل كلمة صح بدون أخطاء إملائية.\n"
+    "\n[٣] التنسيق — إلزامي ١٠٠٪:\n"
+    "كل رد لازم يكون مرتب، واضح، ومنظم بـ Markdown:\n"
+    "- استخدم عناوين `##` للأقسام الرئيسية، و `###` للفرعية.\n"
+    "- استخدم `**نص**` للتأكيد على الكلمات المهمة.\n"
+    "- استخدم قوائم نقطية (`-`) أو مرقمة (`1.`) لأي تعداد.\n"
+    "- استخدم ``` code blocks ``` لأي كود مع تحديد اللغة.\n"
+    "- استخدم جداول `|...|` للبيانات المقارنة.\n"
+    "- اترك سطر فاضي بين الأقسام.\n"
+    "- ممنوع جمل طويلة ملتصقة بدون فواصل.\n"
+    "\n[٤] الأسلوب:\n"
+    "- ادخل في الموضوع مباشرة بدون مقدمات طويلة.\n"
+    "- ممنوع تقدم نفسك إلا إذا طلب المستخدم.\n"
+    "- اعطِ معلومات دقيقة، عملية، قابلة للتنفيذ.\n"
+    "- ختم كل رد بسؤال واحد قصير يشجع الاستمرار (اختياري).\n"
+    "- لا حشو، لا تكرار، لا اعتذارات زائدة."
+)
+
+
+AGENTS: Dict[str, AgentSpec] = {
+    # ========================================================
+    #  1) FULLSTACK MASTER  -  Meta Llama 3.3 70B
+    # ========================================================
+    "fullstack": AgentSpec(
+        id="fullstack",
+        name="Q8 Agent Full-Stack Master 3.1",
+        model_together="meta-llama/Llama-3.3-70B-Instruct-Turbo",
+        model_runpod="meta-llama/Llama-3.3-70B-Instruct",
+        model_groq="llama-3.3-70b-versatile",
+        model_ollama="llama3:8b",
+        default_provider="groq",
+        temperature=0.4,
+        system_prompt=(
+            "اسمك: Q8 Agent Full-Stack Master 3.1\n"
+            "محرّكك: Meta Llama 3.3 70B\n"
+            "تخصصك: كبير المهندسين المعماريين للبرمجيات.\n\n"
+            "خبرتك تشمل: React, TypeScript, Next.js, Node.js, Python, FastAPI, "
+            "Django, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, AWS, GCP, "
+            "Firebase, CI/CD, microservices, REST, GraphQL, WebSocket.\n\n"
+            "أسلوبك:\n"
+            "- تعطي كود قابل للنسخ مباشرة، مع شرح موجز للقرارات المعمارية.\n"
+            "- تشرح المقايضات (سرعة/تكلفة، بساطة/مرونة).\n"
+            "- ترتب الحلول حسب الأولوية وتذكر أفضل الممارسات الأمنية (OWASP)."
+        ) + _DIALECT_RULE,
+    ),
+
+    # ========================================================
+    #  2) UI/UX DESIGNER  -  Alibaba Qwen 3 32B
+    # ========================================================
+    "uiux": AgentSpec(
+        id="uiux",
+        name="Q8 Agent UI/UX Designer 2.0",
+        model_together="Qwen/Qwen2.5-72B-Instruct-Turbo",
+        model_runpod="Qwen/Qwen2.5-32B-Instruct",
+        model_groq="qwen/qwen3-32b",
+        model_ollama="qwen2.5:7b",
+        default_provider="groq",
+        temperature=0.75,
+        system_prompt=(
+            "اسمك: Q8 Agent UI/UX Designer 2.0\n"
+            "محرّكك: Alibaba Qwen 3 32B\n"
+            "تخصصك: مدير الإبداع البصري وتجربة المستخدم.\n\n"
+            "خبرتك تشمل: Figma, Adobe XD, Framer, Tailwind, Material Design 3, "
+            "Apple HIG, WCAG 2.1 AA, design systems, motion design, "
+            "user flows, information architecture, journey maps, "
+            "typography, color theory, micro-interactions.\n\n"
+            "أسلوبك:\n"
+            "- توصيات بصرية محددة بأرقام (ألوان hex، مقاسات بـ px/rem، أوزان خطوط).\n"
+            "- ترتب المشاكل حسب الأولوية (P0 → P3).\n"
+            "- تقترح مكتبات جاهزة (shadcn/ui, Radix, Lucide, Framer Motion).\n"
+            "- تركز على إمكانية الوصول (contrast ratios, keyboard navigation, ARIA)."
+        ) + _DIALECT_RULE,
+    ),
+
+    # ========================================================
+    #  3) CYBER SECURITY PRO  -  OpenAI GPT-OSS 120B
+    # ========================================================
+    "cybersec": AgentSpec(
+        id="cybersec",
+        name="Q8 Agent Cyber Security Pro 3.5",
+        model_together="deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
+        model_runpod="deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
+        model_groq="openai/gpt-oss-120b",
+        model_ollama="deepseek-r1:8b",
+        default_provider="groq",
+        temperature=0.3,
+        system_prompt=(
+            "اسمك: Q8 Agent Cyber Security Pro 3.5\n"
+            "محرّكك: OpenAI GPT-OSS 120B (نموذج تفكير منطقي كبير)\n"
+            "تخصصك: كبير محللي الأمن السيبراني الدفاعي.\n\n"
+            "معرفتك تغطي: MITRE ATT&CK, NIST CSF, ISO 27001, SOC 2, GDPR, PCI-DSS, "
+            "OWASP Top 10, STRIDE threat modeling, SAST/DAST, AES/RSA encryption, "
+            "TLS/PKI, zero trust, SIEM, DFIR, compliance.\n\n"
+            "أسلوبك:\n"
+            "- دفاعي بحت — لا تعليمات هجومية أو استغلال.\n"
+            "- تفكير منطقي خطوة بخطوة قبل التوصية.\n"
+            "- تصنف المخاطر (Critical/High/Medium/Low) مع CVSS عند الإمكان.\n"
+            "- تقترح ضوابط ملموسة، وليس نصائح عامة."
+        ) + _DIALECT_RULE,
+    ),
+
+    # ========================================================
+    #  4) FITNESS & BODYBUILDER  -  OpenAI GPT-OSS 20B
+    # ========================================================
+    "fitness": AgentSpec(
+        id="fitness",
+        name="Q8 Agent Fitness & Bodybuilder Pro 3.3",
+        model_together="meta-llama/Llama-3.1-8B-Instruct-Turbo",
+        model_runpod="meta-llama/Llama-3.1-8B-Instruct",
+        model_groq="openai/gpt-oss-20b",
+        model_ollama="llama3:8b",
+        default_provider="groq",
+        temperature=0.7,
+        system_prompt=(
+            "اسمك: Q8 Agent Fitness & Bodybuilder Pro 3.3\n"
+            "محرّكك: OpenAI GPT-OSS 20B\n"
+            "تخصصك: مدرب لياقة بدنية وكمال أجسام افتراضي.\n\n"
+            "خبرتك تغطي: تصميم برامج (hypertrophy, strength, cutting, recomp, "
+            "PPL, Upper/Lower, Full Body)، التغذية الرياضية (macros, calories, "
+            "meal timing)، تقنية التمارين المركبة (squat, deadlift, bench, OHP, "
+            "rows)، الاستشفاء، المكملات الآمنة، الإصابات الشائعة والوقاية منها.\n\n"
+            "أسلوبك:\n"
+            "- ودي ومتحمس بدون مبالغة.\n"
+            "- خطط بأرقام محددة (sets × reps، grams بروتين، سعرات).\n"
+            "- لا تشخيصات طبية — اقترح طبيب عند الإصابات أو الأمراض المزمنة.\n"
+            "- لا ستيرويدات ولا مكملات خطرة."
+        ) + _DIALECT_RULE,
+    ),
+}

app/ai_providers.py

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+from __future__ import annotations
+
+import os
+import re
+from typing import Any, Dict, List, Tuple
+
+import httpx
+from fastapi import HTTPException
+
+from .agents import AgentSpec
+from .config import Settings
+from .schemas import ChatMessage
+
+
+# يحذف كل صناديق التفكير الداخلية التي تطبعها نماذج reasoning
+# مثل <think>...</think>, <reasoning>...</reasoning>, [THINK]...[/THINK]
+_THINK_PATTERNS = [
+    re.compile(r"<think>.*?</think>", re.DOTALL | re.IGNORECASE),
+    re.compile(r"<thinking>.*?</thinking>", re.DOTALL | re.IGNORECASE),
+    re.compile(r"<reasoning>.*?</reasoning>", re.DOTALL | re.IGNORECASE),
+    re.compile(r"\[THINK\].*?\[/THINK\]", re.DOTALL | re.IGNORECASE),
+    re.compile(r"<\|channel\|>analysis.*?<\|channel\|>final", re.DOTALL),
+    re.compile(r"<\|start\|>assistant<\|channel\|>analysis.*?<\|message\|>", re.DOTALL),
+]
+
+
+def _strip_thinking(text: str) -> str:
+    """يحذف blocks التفكير الداخلي ثم ينظف الفراغات."""
+    if not text:
+        return text
+    cleaned = text
+    for pattern in _THINK_PATTERNS:
+        cleaned = pattern.sub("", cleaned)
+    # احذف tag مفتوح بدون إغلاق (بعض الموديلات تقطع منتصف التفكير)
+    if "</think>" not in cleaned and "<think>" in cleaned:
+        cleaned = cleaned.split("<think>", 1)[0]
+    cleaned = re.sub(r"\n{3,}", "\n\n", cleaned)
+    return cleaned.strip()
+
+
+class AIClient:
+    def __init__(self, settings: Settings):
+        self.settings = settings
+
+    def effective_provider(self, agent: AgentSpec) -> str:
+        env_key = f"AGENT_{agent.id.upper()}_PROVIDER"
+        raw = os.environ.get(env_key, "").strip().lower()
+        if raw in ("together", "runpod", "groq", "openai_compat"):
+            return raw
+        # Per-agent default (e.g. fitness -> groq) before legacy global AI_PROVIDER
+        dp = (agent.default_provider or "").strip().lower()
+        if dp in ("together", "runpod", "groq", "openai_compat"):
+            return dp
+        if self.settings.ai_provider == "runpod":
+            return "runpod"
+        return "together"
+
+    def resolve_model(self, agent: AgentSpec, provider: str) -> str:
+        env_key = f"MODEL_{agent.id.upper()}"
+        override = os.environ.get(env_key, "").strip()
+        if override:
+            return override
+        if provider == "runpod":
+            return agent.model_runpod
+        if provider == "groq":
+            return agent.model_groq or agent.model_together
+        if provider == "openai_compat":
+            return os.environ.get(env_key, "").strip() or agent.model_ollama
+        return agent.model_together
+
+    def _headers_for(self, provider: str) -> Dict[str, str]:
+        if provider == "runpod":
+            if not self.settings.runpod_api_key:
+                raise HTTPException(status_code=500, detail="RUNPOD_API_KEY is missing")
+            return {
+                "Authorization": f"Bearer {self.settings.runpod_api_key}",
+                "Content-Type": "application/json",
+            }
+        if provider == "groq":
+            if not self.settings.groq_api_key:
+                raise HTTPException(status_code=500, detail="GROQ_API_KEY is missing")
+            return {
+                "Authorization": f"Bearer {self.settings.groq_api_key}",
+                "Content-Type": "application/json",
+            }
+        if provider == "openai_compat":
+            if not self.settings.openai_compat_base_url:
+                raise HTTPException(
+                    status_code=500,
+                    detail="OPENAI_COMPAT_BASE_URL is missing (e.g. http://127.0.0.1:11434/v1 for Ollama)",
+                )
+            h: Dict[str, str] = {"Content-Type": "application/json"}
+            key = (self.settings.openai_compat_api_key or "").strip()
+            if key:
+                h["Authorization"] = f"Bearer {key}"
+            return h
+        if not self.settings.together_api_key:
+            raise HTTPException(status_code=500, detail="TOGETHER_API_KEY is missing")
+        return {
+            "Authorization": f"Bearer {self.settings.together_api_key}",
+            "Content-Type": "application/json",
+        }
+
+    def _base_url(self, provider: str) -> str:
+        if provider == "runpod":
+            if not self.settings.runpod_base_url:
+                raise HTTPException(status_code=500, detail="RUNPOD_BASE_URL is missing")
+            return self.settings.runpod_base_url
+        if provider == "groq":
+            return self.settings.groq_base_url
+        if provider == "openai_compat":
+            return self.settings.openai_compat_base_url
+        return self.settings.together_base_url
+
+    async def chat_completion(
+        self,
+        agent: AgentSpec,
+        user_message: str,
+        history: List[ChatMessage],
+        temperature: float,
+        max_tokens: int,
+    ) -> Tuple[str, str, str, Dict[str, Any]]:
+        provider = self.effective_provider(agent)
+        model = self.resolve_model(agent, provider)
+        api_messages = [{"role": "system", "content": agent.system_prompt}]
+        api_messages.extend([m.model_dump() for m in history[-12:]])
+        api_messages.append({"role": "user", "content": user_message})
+
+        # Each agent has its own ideal temperature baked into AgentSpec.
+        # Caller-provided temperature is treated as a soft override only when
+        # it differs from the default 0.6 sentinel used by the API schema.
+        agent_temp = getattr(agent, "temperature", 0.6)
+        effective_temp = agent_temp if abs(temperature - 0.6) < 1e-6 else temperature
+
+        payload = {
+            "model": model,
+            "messages": api_messages,
+            "temperature": effective_temp,
+            "max_tokens": max_tokens,
+        }
+
+        url = f"{self._base_url(provider)}/chat/completions"
+        timeout = httpx.Timeout(120.0, connect=15.0)
+
+        # Groq fallback rotation: try each key in order on 429/401/403/5xx.
+        if provider == "groq":
+            groq_keys = self.settings.groq_api_keys
+            if not groq_keys:
+                raise HTTPException(status_code=500, detail="GROQ_API_KEY is missing")
+            last_err: str = ""
+            response = None
+            async with httpx.AsyncClient(timeout=timeout) as client:
+                for idx, key in enumerate(groq_keys):
+                    headers = {
+                        "Authorization": f"Bearer {key}",
+                        "Content-Type": "application/json",
+                    }
+                    try:
+                        response = await client.post(url, headers=headers, json=payload)
+                        if response.status_code in (401, 403, 429) or response.status_code >= 500:
+                            last_err = f"key#{idx+1} HTTP {response.status_code}: {response.text[:200]}"
+                            response = None
+                            continue
+                        response.raise_for_status()
+                        break
+                    except httpx.HTTPStatusError as exc:
+                        last_err = f"key#{idx+1} HTTP {exc.response.status_code}: {exc.response.text[:200]}"
+                        response = None
+                        continue
+                    except httpx.HTTPError as exc:
+                        last_err = f"key#{idx+1} network: {exc}"
+                        response = None
+                        continue
+            if response is None:
+                raise HTTPException(
+                    status_code=502,
+                    detail=f"All Groq keys failed. Last error: {last_err}",
+                )
+        else:
+            headers = self._headers_for(provider)
+            async with httpx.AsyncClient(timeout=timeout) as client:
+                try:
+                    response = await client.post(url, headers=headers, json=payload)
+                    response.raise_for_status()
+                except httpx.HTTPStatusError as exc:
+                    detail = exc.response.text
+                    raise HTTPException(status_code=502, detail=f"AI provider error: {detail}") from exc
+                except httpx.HTTPError as exc:
+                    raise HTTPException(status_code=502, detail=f"AI provider network error: {exc}") from exc
+
+        data = response.json()
+        output = (
+            data.get("choices", [{}])[0]
+            .get("message", {})
+            .get("content", "")
+            .strip()
+        )
+        output = _strip_thinking(output)
+        usage = data.get("usage", {})
+        return output or "No response from model.", model, provider, usage

app/auth.py

@@ -0,0 +1,95 @@
+from dataclasses import dataclass
+from datetime import datetime, timedelta, timezone
+from typing import Annotated, Optional
+
+from fastapi import Depends, HTTPException, Request, status
+from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
+from jose import JWTError, jwt
+
+from .config import Settings, get_settings
+
+bearer_scheme = HTTPBearer(auto_error=False)
+
+
+@dataclass(frozen=True)
+class AuthContext:
+    user_id: str
+    tier: str  # "free" | "pro" | "unlimited"
+
+
+def create_access_token(
+    username: str,
+    settings: Settings,
+    *,
+    extra_claims: Optional[dict] = None,
+) -> str:
+    expire = datetime.now(timezone.utc) + timedelta(minutes=settings.jwt_expire_minutes)
+    payload: dict = {"sub": username, "exp": expire}
+    if extra_claims:
+        payload.update(extra_claims)
+    return jwt.encode(payload, settings.jwt_secret_key, algorithm=settings.jwt_algorithm)
+
+
+def _decode_payload(token: str, settings: Settings) -> dict:
+    try:
+        return jwt.decode(token, settings.jwt_secret_key, algorithms=[settings.jwt_algorithm])
+    except (JWTError, ValueError) as exc:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Invalid or expired token",
+        ) from exc
+
+
+def resolve_tier(user_id: str, payload: dict, settings: Settings) -> str:
+    raw = payload.get("tier")
+    if raw in ("free", "pro", "unlimited"):
+        return str(raw)
+    if user_id in settings.unlimited_user_ids:
+        return "unlimited"
+    if user_id in settings.pro_user_ids:
+        return "pro"
+    return "free"
+
+
+def decode_access_token(token: str, settings: Settings) -> AuthContext:
+    payload = _decode_payload(token, settings)
+    sub = payload.get("sub")
+    if not sub:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Invalid token subject",
+        )
+    user_id = str(sub)
+    tier = resolve_tier(user_id, payload, settings)
+    return AuthContext(user_id=user_id, tier=tier)
+
+
+async def get_auth_context(
+    request: Request,
+    creds: Annotated[Optional[HTTPAuthorizationCredentials], Depends(bearer_scheme)],
+    settings: Annotated[Settings, Depends(get_settings)],
+) -> AuthContext:
+    if settings.auth_disabled:
+        header_uid = (request.headers.get("X-User-Id") or "").strip()
+        uid = header_uid or "local-dev"
+        if uid in settings.unlimited_user_ids:
+            tier = "unlimited"
+        elif uid in settings.pro_user_ids:
+            tier = "pro"
+        else:
+            tier = "free"
+        return AuthContext(user_id=uid, tier=tier)
+    if not creds or not creds.credentials:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Missing bearer token",
+        )
+    return decode_access_token(creds.credentials, settings)
+
+
+def require_login(username: str, password: str, settings: Settings) -> None:
+    if username != settings.admin_username or password != settings.admin_password:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Invalid username or password",
+        )

app/config.py

@@ -0,0 +1,87 @@
+from functools import lru_cache
+import os
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def _split_csv(s: str) -> frozenset[str]:
+    return frozenset(x.strip() for x in (s or "").split(",") if x.strip())
+
+
+class Settings:
+    app_name: str = os.getenv("APP_NAME", "KW Multi AI Agent Backend")
+    app_env: str = os.getenv("APP_ENV", "development")
+    app_host: str = os.getenv("APP_HOST", "0.0.0.0")
+    app_port: int = int(os.getenv("APP_PORT", "8000"))
+
+    jwt_secret_key: str = os.getenv("JWT_SECRET_KEY", "CHANGE_ME")
+    jwt_algorithm: str = os.getenv("JWT_ALGORITHM", "HS256")
+    jwt_expire_minutes: int = int(os.getenv("JWT_EXPIRE_MINUTES", "1440"))
+
+    admin_username: str = os.getenv("ADMIN_USERNAME", "admin")
+    admin_password: str = os.getenv("ADMIN_PASSWORD", "change-me-now")
+
+    # If true, agent routes accept requests without Bearer; user id from X-User-Id or "local-dev"
+    auth_disabled: bool = os.getenv("AUTH_DISABLED", "false").strip().lower() in ("1", "true", "yes")
+
+    # Shared secret for mobile/web app to exchange JWT (set in app env + VITE_APP_BACKEND_SECRET)
+    app_shared_secret: str = os.getenv("APP_SHARED_SECRET", "").strip()
+
+    # Comma-separated user ids that get Pro tier (server-side; overrides free default)
+    pro_user_ids: frozenset[str] = _split_csv(os.getenv("PRO_USER_IDS", ""))
+    # Comma-separated user ids that get Unlimited tier (no daily cap)
+    unlimited_user_ids: frozenset[str] = _split_csv(os.getenv("UNLIMITED_USER_IDS", ""))
+
+    ai_provider: str = os.getenv("AI_PROVIDER", "together").strip().lower()
+
+    together_api_key: str = os.getenv("TOGETHER_API_KEY", "")
+    together_base_url: str = os.getenv("TOGETHER_BASE_URL", "https://api.together.xyz/v1").rstrip("/")
+
+    runpod_api_key: str = os.getenv("RUNPOD_API_KEY", "")
+    runpod_base_url: str = os.getenv("RUNPOD_BASE_URL", "").rstrip("/")
+
+    groq_api_key: str = os.getenv("GROQ_API_KEY", "")
+    groq_base_url: str = os.getenv("GROQ_BASE_URL", "https://api.groq.com/openai/v1").rstrip("/")
+
+    @property
+    def groq_api_keys(self) -> list[str]:
+        """Return all Groq keys for fallback rotation.
+
+        Reads GROQ_API_KEY plus GROQ_API_KEY_2, GROQ_API_KEY_3, ...
+        Also accepts a comma-separated GROQ_API_KEYS env var.
+        Returns deduped, non-empty list preserving order.
+        """
+        keys: list[str] = []
+        primary = (os.getenv("GROQ_API_KEY", "") or "").strip()
+        if primary:
+            keys.append(primary)
+        csv = (os.getenv("GROQ_API_KEYS", "") or "").strip()
+        if csv:
+            for k in csv.split(","):
+                k = k.strip()
+                if k and k not in keys:
+                    keys.append(k)
+        for i in range(2, 11):
+            v = (os.getenv(f"GROQ_API_KEY_{i}", "") or "").strip()
+            if v and v not in keys:
+                keys.append(v)
+        return keys
+
+    # Generic OpenAI-compatible endpoint (e.g. other clouds)
+    openai_compat_api_key: str = os.getenv("OPENAI_COMPAT_API_KEY", "")
+    openai_compat_base_url: str = os.getenv("OPENAI_COMPAT_BASE_URL", "").rstrip("/")
+
+    rate_limit: str = os.getenv("RATE_LIMIT", "30/minute")
+
+    # Daily message caps (counting user messages, not tokens). 0 = unlimited.
+    # Matches frontend PLANS in src/lib/subscription.ts
+    free_tier_daily_messages: int = int(os.getenv("FREE_TIER_DAILY_MESSAGES", "20"))
+    pro_tier_daily_messages: int = int(os.getenv("PRO_TIER_DAILY_MESSAGES", "300"))
+    unlimited_tier_daily_messages: int = int(os.getenv("UNLIMITED_TIER_DAILY_MESSAGES", "0"))
+
+
+@lru_cache
+def get_settings() -> Settings:
+    return Settings()

app/main.py

@@ -0,0 +1,228 @@
+from contextlib import asynccontextmanager
+from typing import Annotated
+
+import os
+
+from fastapi import Depends, FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+from fastapi.staticfiles import StaticFiles
+from slowapi import Limiter, _rate_limit_exceeded_handler
+from slowapi.errors import RateLimitExceeded
+from slowapi.util import get_remote_address
+
+from .agents import AGENTS
+from .ai_providers import AIClient
+from .auth import AuthContext, create_access_token, get_auth_context, require_login
+from .config import Settings, get_settings
+from .schemas import (
+    AgentChatRequest,
+    AgentChatResponse,
+    AppTokenRequest,
+    MeUsageResponse,
+    TokenRequest,
+    TokenResponse,
+)
+from .usage_store import (
+    add_message_used,
+    day_key_now,
+    get_messages_used,
+    init_db,
+)
+
+
+@asynccontextmanager
+async def lifespan(_: FastAPI):
+    init_db()
+    yield
+
+
+settings = get_settings()
+limiter = Limiter(key_func=get_remote_address, default_limits=[settings.rate_limit])
+
+app = FastAPI(title=settings.app_name, lifespan=lifespan)
+app.state.limiter = limiter
+app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+@app.exception_handler(Exception)
+async def unhandled_exception_handler(_: Request, exc: Exception):
+    return JSONResponse(status_code=500, content={"detail": f"Server error: {exc}"})
+
+
+@app.get("/health")
+async def health():
+    return {
+        "status": "ok",
+        "auth_disabled": settings.auth_disabled,
+        "agents": list(AGENTS.keys()),
+        "rate_limit": settings.rate_limit,
+    }
+
+
+def _tier_daily_limit(tier: str, s: Settings) -> tuple[int, bool]:
+    """Return (limit, unlimited). limit=0 means unlimited."""
+    if tier == "unlimited":
+        lim = s.unlimited_tier_daily_messages
+        return (lim, lim == 0)
+    if tier == "pro":
+        lim = s.pro_tier_daily_messages
+        return (lim, lim == 0)
+    lim = s.free_tier_daily_messages
+    return (lim, lim == 0)
+
+
+def _ensure_daily_quota(auth: AuthContext, s: Settings) -> None:
+    limit, unlimited = _tier_daily_limit(auth.tier, s)
+    if unlimited:
+        return
+    used = get_messages_used(auth.user_id, day_key_now())
+    if used >= limit:
+        raise HTTPException(
+            status_code=429,
+            detail=(
+                "انتهى حدك اليومي. ترقّ للاشتراك أو انتظر بكرة. "
+                "Daily message limit reached — upgrade or wait until tomorrow."
+            ),
+        )
+
+
+def _record_message(auth: AuthContext) -> int:
+    """Count one chat message against the user's daily quota."""
+    return add_message_used(auth.user_id, day_key_now(), 1)
+
+
+@app.get("/me/usage", response_model=MeUsageResponse)
+@limiter.limit(settings.rate_limit)
+async def me_usage(
+    request: Request,
+    auth: Annotated[AuthContext, Depends(get_auth_context)],
+    s: Annotated[Settings, Depends(get_settings)],
+):
+    d = day_key_now()
+    used = get_messages_used(auth.user_id, d)
+    limit, unlimited = _tier_daily_limit(auth.tier, s)
+    return MeUsageResponse(
+        user_id=auth.user_id,
+        tier=auth.tier,
+        day=d,
+        messages_used=used,
+        messages_limit=limit,
+        unlimited=unlimited,
+        # legacy fields (kept for backwards compat)
+        month=d[:7],
+        tokens_used=used,
+        tokens_limit=limit,
+    )
+
+
+def _tier_for_user(uid: str, s: Settings) -> str:
+    if uid in s.unlimited_user_ids:
+        return "unlimited"
+    if uid in s.pro_user_ids:
+        return "pro"
+    return "free"
+
+
+@app.post("/auth/token", response_model=TokenResponse)
+@limiter.limit(settings.rate_limit)
+async def login(request: Request, body: TokenRequest, s: Annotated[Settings, Depends(get_settings)]):
+    require_login(body.username, body.password, s)
+    tier = _tier_for_user(body.username, s)
+    token = create_access_token(body.username, s, extra_claims={"tier": tier})
+    return TokenResponse(access_token=token)
+
+
+@app.post("/auth/app-token", response_model=TokenResponse)
+@limiter.limit(settings.rate_limit)
+async def app_token(request: Request, body: AppTokenRequest, s: Annotated[Settings, Depends(get_settings)]):
+    if not s.app_shared_secret or body.app_secret != s.app_shared_secret:
+        raise HTTPException(status_code=401, detail="Invalid app secret")
+    tier = _tier_for_user(body.user_id, s)
+    token = create_access_token(body.user_id, s, extra_claims={"tier": tier})
+    return TokenResponse(access_token=token)
+
+
+async def _run_agent_chat(agent_id: str, body: AgentChatRequest, s: Settings, auth: AuthContext) -> AgentChatResponse:
+    agent = AGENTS.get(agent_id)
+    if not agent:
+        raise HTTPException(status_code=404, detail=f"Unknown agent: {agent_id}")
+
+    _ensure_daily_quota(auth, s)
+
+    ai = AIClient(s)
+    output, model_used, provider_used, usage = await ai.chat_completion(
+        agent=agent,
+        user_message=body.message,
+        history=body.history,
+        temperature=body.temperature,
+        max_tokens=body.max_tokens,
+    )
+    _record_message(auth)
+    return AgentChatResponse(
+        agent_id=agent.id,
+        agent_name=agent.name,
+        model=model_used,
+        provider=provider_used,
+        output=output,
+        usage=usage,
+    )
+
+
+@app.post("/agents/fullstack/chat", response_model=AgentChatResponse)
+@limiter.limit(settings.rate_limit)
+async def chat_fullstack(
+    request: Request,
+    body: AgentChatRequest,
+    auth: Annotated[AuthContext, Depends(get_auth_context)],
+    s: Annotated[Settings, Depends(get_settings)],
+):
+    return await _run_agent_chat("fullstack", body, s, auth)
+
+
+@app.post("/agents/uiux/chat", response_model=AgentChatResponse)
+@limiter.limit(settings.rate_limit)
+async def chat_uiux(
+    request: Request,
+    body: AgentChatRequest,
+    auth: Annotated[AuthContext, Depends(get_auth_context)],
+    s: Annotated[Settings, Depends(get_settings)],
+):
+    return await _run_agent_chat("uiux", body, s, auth)
+
+
+@app.post("/agents/cybersec/chat", response_model=AgentChatResponse)
+@limiter.limit(settings.rate_limit)
+async def chat_cybersec(
+    request: Request,
+    body: AgentChatRequest,
+    auth: Annotated[AuthContext, Depends(get_auth_context)],
+    s: Annotated[Settings, Depends(get_settings)],
+):
+    return await _run_agent_chat("cybersec", body, s, auth)
+
+
+@app.post("/agents/fitness/chat", response_model=AgentChatResponse)
+@limiter.limit(settings.rate_limit)
+async def chat_fitness(
+    request: Request,
+    body: AgentChatRequest,
+    auth: Annotated[AuthContext, Depends(get_auth_context)],
+    s: Annotated[Settings, Depends(get_settings)],
+):
+    return await _run_agent_chat("fitness", body, s, auth)
+
+
+# Serve built frontend (PWA) from /static and root.
+# This must be the LAST route registered so API routes take priority.
+_static_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "static")
+if os.path.isdir(_static_dir):
+    app.mount("/", StaticFiles(directory=_static_dir, html=True), name="frontend")

app/schemas.py

@@ -0,0 +1,56 @@
+from typing import List, Literal, Optional
+
+from pydantic import BaseModel, Field
+
+
+Role = Literal["system", "user", "assistant"]
+
+
+class ChatMessage(BaseModel):
+    role: Role
+    content: str = Field(min_length=1)
+
+
+class AgentChatRequest(BaseModel):
+    message: str = Field(min_length=1, description="Latest user message")
+    history: List[ChatMessage] = Field(default_factory=list, description="Optional short chat history")
+    temperature: float = Field(default=0.6, ge=0.0, le=2.0)
+    max_tokens: int = Field(default=768, ge=32, le=4096)
+
+
+class AgentChatResponse(BaseModel):
+    agent_id: str
+    agent_name: str
+    model: str
+    provider: str
+    output: str
+    usage: Optional[dict] = None
+
+
+class TokenRequest(BaseModel):
+    username: str
+    password: str
+
+
+class TokenResponse(BaseModel):
+    access_token: str
+    token_type: str = "bearer"
+
+
+class AppTokenRequest(BaseModel):
+    user_id: str = Field(min_length=1)
+    app_secret: str = Field(min_length=1)
+
+
+class MeUsageResponse(BaseModel):
+    user_id: str
+    tier: str  # "free" | "pro" | "unlimited"
+    day: str  # YYYY-MM-DD (UTC)
+    messages_used: int
+    messages_limit: int  # 0 when unlimited
+    unlimited: bool
+    # Legacy aliases kept so older clients still parse the payload.
+    month: str = ""
+    tokens_used: int = 0
+    tokens_limit: int = 0
+

app/usage_store.py

@@ -0,0 +1,94 @@
+"""SQLite-backed daily message usage per user.
+
+Tracks number of chat messages per (user_id, day) — in UTC.
+Used by main.py to enforce the subscription daily limit
+(Free = 20/day, Pro = 300/day, Unlimited = no limit).
+"""
+
+from __future__ import annotations
+
+import sqlite3
+import threading
+from datetime import datetime, timezone
+from pathlib import Path
+
+DB_PATH = Path(__file__).resolve().parent.parent / "data" / "usage.sqlite"
+_lock = threading.Lock()
+
+
+def day_key_now() -> str:
+    """UTC day key in YYYY-MM-DD format."""
+    return datetime.now(timezone.utc).strftime("%Y-%m-%d")
+
+
+# Kept as alias for backwards-compat in case anything else imports it.
+def month_key_now() -> str:
+    return datetime.now(timezone.utc).strftime("%Y-%m")
+
+
+def init_db() -> None:
+    DB_PATH.parent.mkdir(parents=True, exist_ok=True)
+    with sqlite3.connect(DB_PATH) as conn:
+        # New daily-messages table
+        conn.execute(
+            """
+            CREATE TABLE IF NOT EXISTS usage_daily (
+                user_id  TEXT NOT NULL,
+                day_key  TEXT NOT NULL,
+                messages INTEGER NOT NULL DEFAULT 0,
+                PRIMARY KEY (user_id, day_key)
+            )
+            """
+        )
+        # Legacy table kept for historical data — not written to anymore.
+        conn.execute(
+            """
+            CREATE TABLE IF NOT EXISTS usage_monthly (
+                user_id TEXT NOT NULL,
+                month_key TEXT NOT NULL,
+                tokens INTEGER NOT NULL DEFAULT 0,
+                PRIMARY KEY (user_id, month_key)
+            )
+            """
+        )
+        conn.commit()
+
+
+def get_messages_used(user_id: str, day_key: str) -> int:
+    with sqlite3.connect(DB_PATH) as conn:
+        row = conn.execute(
+            "SELECT messages FROM usage_daily WHERE user_id = ? AND day_key = ?",
+            (user_id, day_key),
+        ).fetchone()
+        return int(row[0]) if row else 0
+
+
+def add_message_used(user_id: str, day_key: str, delta: int = 1) -> int:
+    if delta <= 0:
+        return get_messages_used(user_id, day_key)
+    with _lock:
+        with sqlite3.connect(DB_PATH) as conn:
+            conn.execute(
+                """
+                INSERT INTO usage_daily (user_id, day_key, messages)
+                VALUES (?, ?, ?)
+                ON CONFLICT(user_id, day_key) DO UPDATE SET
+                    messages = usage_daily.messages + excluded.messages
+                """,
+                (user_id, day_key, delta),
+            )
+            conn.commit()
+            row = conn.execute(
+                "SELECT messages FROM usage_daily WHERE user_id = ? AND day_key = ?",
+                (user_id, day_key),
+            ).fetchone()
+            return int(row[0]) if row else delta
+
+
+# Legacy aliases (kept so nothing else imports break during rollout)
+def get_tokens_used(user_id: str, month_key: str) -> int:
+    return get_messages_used(user_id, day_key_now())
+
+
+def add_tokens_used(user_id: str, month_key: str, delta: int) -> int:
+    return add_message_used(user_id, day_key_now(), 1)

requirements.txt

@@ -0,0 +1,7 @@
+fastapi==0.116.1
+uvicorn[standard]==0.35.0
+httpx==0.28.1
+python-dotenv==1.1.1
+python-jose==3.5.0
+passlib[bcrypt]==1.7.4
+slowapi==0.1.9

start.ps1

@@ -0,0 +1,7 @@
+$ErrorActionPreference = "Stop"
+Set-Location $PSScriptRoot
+if (-not (Test-Path ".\.venv\Scripts\python.exe")) {
+  python -m venv .venv
+  & .\.venv\Scripts\pip.exe install -r requirements.txt
+}
+& .\.venv\Scripts\uvicorn.exe app.main:app --host 0.0.0.0 --port 8000

static/assets/index-BwPR7vCI.css

@@ -0,0 +1 @@
+/*! tailwindcss v4.2.2 | MIT License | https://tailwindcss.com */@layer properties{@supports (((-webkit-hyphens:none)) and (not (margin-trim:inline))) or ((-moz-orient:inline) and (not (color:rgb(from red r g b)))){*,:before,:after,::backdrop{--tw-translate-x:0;--tw-translate-y:0;--tw-translate-z:0;--tw-scale-x:1;--tw-scale-y:1;--tw-scale-z:1;--tw-rotate-x:initial;--tw-rotate-y:initial;--tw-rotate-z:initial;--tw-skew-x:initial;--tw-skew-y:initial;--tw-space-y-reverse:0;--tw-border-style:solid;--tw-gradient-position:initial;--tw-gradient-from:#0000;--tw-gradient-via:#0000;--tw-gradient-to:#0000;--tw-gradient-stops:initial;--tw-gradient-via-stops:initial;--tw-gradient-from-position:0%;--tw-gradient-via-position:50%;--tw-gradient-to-position:100%;--tw-leading:initial;--tw-font-weight:initial;--tw-tracking:initial;--tw-shadow:0 0 #0000;--tw-shadow-color:initial;--tw-shadow-alpha:100%;--tw-inset-shadow:0 0 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static/index.html

@@ -0,0 +1,117 @@
+<!doctype html>
+<html lang="ar" dir="rtl">
+  <head>
+    <meta charset="UTF-8" />
+
+    <!-- Primary Meta Tags -->
+    <title>KW Multi AI Agent</title>
+    <meta name="title" content="KW Multi AI Agent — Kuwaiti Multi-Agent AI System" />
+    <meta
+      name="description"
+      content="منظومة وكلاء ذكاء اصطناعي من الكويت — محادثة بلهجة كويتية، ربط تليجرام وواتساب، وتخصيص كامل. KW Multi AI Agent: a Kuwait-made multi-agent AI system with Kuwaiti dialect, Telegram & WhatsApp integration, and full customization."
+    />
+    <meta
+      name="keywords"
+      content="الكويت, ذكاء اصطناعي, AI, Kuwait, ChatGPT, Llama, وكلاء ذكاء, Claude, GPT, مساعد ذكي, تليجرام, واتساب"
+    />
+    <meta name="author" content="Naif Al-Zanki" />
+    <meta name="robots" content="index, follow" />
+    <meta name="language" content="Arabic" />
+    <meta name="geo.region" content="KW" />
+    <meta name="geo.placename" content="Kuwait City" />
+
+    <!-- Theme & mobile UX -->
+    <meta name="theme-color" content="#030508" media="(prefers-color-scheme: dark)" />
+    <meta name="theme-color" content="#030508" media="(prefers-color-scheme: light)" />
+    <meta
+      name="viewport"
+      content="width=device-width, initial-scale=1.0, maximum-scale=5.0, viewport-fit=cover"
+    />
+    <meta name="format-detection" content="telephone=no" />
+    <meta name="mobile-web-app-capable" content="yes" />
+    <meta name="apple-mobile-web-app-capable" content="yes" />
+    <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
+    <meta name="apple-mobile-web-app-title" content="KW AI" />
+    <meta name="application-name" content="KW Multi AI Agent" />
+    <meta name="msapplication-TileColor" content="#030508" />
+
+    <!-- Open Graph / Facebook / Telegram / WhatsApp preview -->
+    <meta property="og:type" content="website" />
+    <meta property="og:site_name" content="KW Multi AI Agent" />
+    <meta property="og:url" content="https://NaifAlzanki-kw-multi-agent-backend.hf.space/" />
+    <meta property="og:title" content="KW Multi AI Agent — منظومة ذكاء اصطناعي كويتية" />
+    <meta
+      property="og:description"
+      content="من الكويت — وكلاء ذكاء يقلبون الساحة. لهجة كويتية، تكامل تليجرام وواتساب، سريع وأنيق."
+    />
+    <meta property="og:locale" content="ar_KW" />
+    <meta property="og:locale:alternate" content="en_US" />
+
+    <!-- Twitter / X -->
+    <meta name="twitter:card" content="summary_large_image" />
+    <meta name="twitter:title" content="KW Multi AI Agent" />
+    <meta
+      name="twitter:description"
+      content="Kuwait-made multi-agent AI system with Kuwaiti dialect, Telegram & WhatsApp integration."
+    />
+
+    <!-- Icons & PWA -->
+    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
+    <link rel="apple-touch-icon" href="/apple-touch-icon.png" />
+    <link rel="manifest" href="/manifest.json" />
+
+    <!-- Preconnect for perf -->
+    <link rel="preconnect" href="https://api.telegram.org" crossorigin />
+    <link rel="dns-prefetch" href="https://wa.me" />
+
+    <!-- Structured data for SEO -->
+    <script type="application/ld+json">
+      {
+        "@context": "https://schema.org",
+        "@type": "SoftwareApplication",
+        "name": "KW Multi AI Agent",
+        "applicationCategory": "BusinessApplication",
+        "operatingSystem": "Web, Android, iOS",
+        "inLanguage": ["ar-KW", "en"],
+        "offers": {
+          "@type": "Offer",
+          "price": "0",
+          "priceCurrency": "KWD"
+        },
+        "creator": {
+          "@type": "Person",
+          "name": "Naif Al-Zanki"
+        }
+      }
+    </script>
+
+    <!-- Prevent FOUC flash before React loads -->
+    <style>
+      html, body { background: #030508; color: #fafafa; margin: 0; padding: 0; }
+      body { font-family: system-ui, -apple-system, "Segoe UI", Roboto, sans-serif; }
+      #root { min-height: 100dvh; }
+      /* Boot spinner until React mounts */
+      .kw-boot {
+        position: fixed; inset: 0; display: flex; align-items: center;
+        justify-content: center; background: #030508; z-index: 9999;
+        transition: opacity 0.4s ease;
+      }
+      .kw-boot-spinner {
+        width: 48px; height: 48px; border-radius: 50%;
+        border: 3px solid rgba(255,255,255,0.08);
+        border-top-color: #CE1126;
+        animation: kw-boot-spin 0.9s linear infinite;
+      }
+      @keyframes kw-boot-spin { to { transform: rotate(360deg); } }
+      #root:not(:empty) + .kw-boot { opacity: 0; pointer-events: none; }
+    </style>
+    <script type="module" crossorigin src="/assets/index-D3HV3XVM.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-BwPR7vCI.css">
+  </head>
+  <body>
+    <div id="root"></div>
+    <div class="kw-boot" aria-hidden="true">
+      <div class="kw-boot-spinner"></div>
+    </div>
+  </body>
+</html>

static/manifest.json

@@ -0,0 +1,20 @@
+{
+  "name": "🇰🇼 Kw Multi AI Agent 🇰🇼",
+  "short_name": "Kw Multi AI Agent",
+  "start_url": "/",
+  "display": "standalone",
+  "background_color": "#0F0F0F",
+  "theme_color": "#DC2626",
+  "icons": [
+    {
+      "src": "/mascot.png",
+      "sizes": "192x192",
+      "type": "image/png"
+    },
+    {
+      "src": "/mascot.png",
+      "sizes": "512x512",
+      "type": "image/png"
+    }
+  ]
+}