docs: README dosyasini guncel ozelliklerle zenginlestir

.env.example

@@ -1,10 +1,16 @@
 WISECLAW_ENV=development
 WISECLAW_DB_URL=sqlite:///./wiseclaw.db
-WISECLAW_OLLAMA_BASE_URL=http://127.0.0.1:11434
+WISECLAW_MODEL_PROVIDER=local
-WISECLAW_DEFAULT_MODEL=qwen3.5:4b
+WISECLAW_LOCAL_BASE_URL=http://127.0.0.1:1234
+WISECLAW_LOCAL_MODEL=qwen3-vl-8b-instruct-mlx@5bit
+WISECLAW_ZAI_BASE_URL=https://api.z.ai/api/anthropic
+WISECLAW_ZAI_MODEL=glm-5
+WISECLAW_ANYTHINGLLM_BASE_URL=http://127.0.0.1:3001
+WISECLAW_ANYTHINGLLM_WORKSPACE_SLUG=wiseclaw
 WISECLAW_SEARCH_PROVIDER=brave
 WISECLAW_TELEGRAM_BOT_TOKEN=
 WISECLAW_BRAVE_API_KEY=
+WISECLAW_ZAI_API_KEY=
+WISECLAW_ANYTHINGLLM_API_KEY=
 WISECLAW_ADMIN_HOST=127.0.0.1
 WISECLAW_ADMIN_PORT=8000
-

.gitignore

@@ -13,3 +13,13 @@ build/
 .DS_Store
 .env
 wiseclaw.db
+.codex/
+.playwright-cli/
+.wiseclaw/
+backend/.wiseclaw/
+backend/tmp/
+backend/second_brain.md
+generated_apps/
+snake/
+snake-game/
+Yapilacak_Odevler.md

README.md

@@ -1,25 +1,148 @@
 # WiseClaw
 
-WiseClaw is a local-first personal assistant for macOS. It runs a FastAPI backend, uses Ollama for local LLM access, exposes a Telegram bot, and includes a React admin panel for settings, logs, and memory management.
+🦉 WiseClaw, macOS üzerinde çalışan yerel-öncelikli bir kişisel asistan altyapısıdır. FastAPI backend, Telegram botu, React admin paneli, çoklu LLM sağlayıcı desteği, tarayıcı otomasyonu, araç çağırma, otomasyonlar ve AnythingLLM tabanlı "ikinci beyin" entegrasyonunu aynı projede bir araya getirir.
 
-## Planned capabilities
+## ✨ Neler Yapabiliyor?
 
-- Telegram chat with whitelist support
+- 🤖 Telegram üzerinden konuşma, komut ve araç kullanımı
-- Local Ollama integration for `qwen3.5:4b`
+- 🧠 `/tanisalim` ile kalıcı kullanıcı profili ve iletişim tercihleri
-- Brave or SearXNG-backed web search
+- 🗂️ AnythingLLM tabanlı ikinci beyin sorguları
-- Apple Notes integration via AppleScript
+- 📝 `/notlarima_ekle` ile second brain notu ekleme ve otomatik senkron
-- File read/write tools
+- ⚙️ `/otomasyon_ekle` ile zamanlanmış görev oluşturma
-- Terminal execution with policy modes
+- 🌐 Brave Search ile web ve görsel arama
-- SQLite-backed memory, settings, and audit logs
+- 🧭 `browser_use` ile gerçek tarayıcıda gezinme
-- macOS Keychain for secrets
+- 🍎 Apple Notes üzerinde not oluşturma
+- 📁 Dosya okuma/yazma
+- 🖥️ Politika tabanlı terminal komut çalıştırma
+- 🔀 Global model sağlayıcı seçimi:
+  - `Local (LM Studio)`
+  - `Z.AI`
+- 📊 Admin panelden ayarlar, loglar, memory, profiller ve otomasyonları yönetme
 
-## Repository layout
+## 🏗️ Mimari
 
-- `backend/` FastAPI app and WiseClaw core modules
+- `backend/`
-- `frontend/` React admin panel
+  FastAPI uygulaması, orchestrator, tool'lar, Telegram botu ve scheduler
-- `docs/` architecture and rollout notes
+- `frontend/`
+  React tabanlı admin panel
+- `docs/`
+  Mimari notlar ve brainstorm kayıtları
 
-## Local development
+## 🧩 LLM Sağlayıcıları
+
+WiseClaw tek bir global sağlayıcı ile çalışır:
+
+- 🏠 `Local (LM Studio)`
+  Yerel OpenAI-uyumlu endpoint üzerinden çalışır
+- ☁️ `Z.AI`
+  Anthropic-uyumlu API üzerinden `glm-4.7` ve `glm-5` modellerini kullanır
+
+Admin panelden aktif sağlayıcı değiştirildiğinde yeni istekler seçili sağlayıcıya gider.
+
+## 🛠️ Başlıca Tool'lar
+
+- `brave_search`
+  Web ve image search
+- `web_fetch`
+  Tekil URL çekme ve içerik okuma
+- `browser_use`
+  Gerçek browser otomasyonu
+- `apple_notes`
+  Apple Notes not oluşturma
+- `files`
+  Dosya/dizin erişimi
+- `terminal`
+  Güvenlik politikasıyla komut çalıştırma
+- `second_brain`
+  AnythingLLM workspace context sorgulama
+
+## 🧠 İkinci Beyin Akışı
+
+WiseClaw, AnythingLLM'yi ikinci beyin olarak kullanabilir.
+
+### Sorgulama
+
+Telegram'da örnek:
+
+```text
+Notlara bak, serkan ile ne zaman ve nerde buluştum?
+```
+
+WiseClaw bu isteği `second_brain` tool'una yönlendirir, AnythingLLM workspace'inden bağlam çeker ve kısa cevap üretir.
+
+### Not Ekleme
+
+Telegram akışı:
+
+```text
+/notlarima_ekle
+```
+
+Ardından gönderilen not:
+
+1. SQLite veritabanına `second_brain` kaydı olarak yazılır
+2. [backend/second_brain.md](/Users/wisecolt-macmini/Project/wiseclaw/backend/second_brain.md) dosyası yeniden üretilir
+3. Eski `second_brain.md` AnythingLLM workspace'inden kaldırılır
+4. Yeni dosya tekrar upload edilip workspace'e bağlanır
+
+Bu yaklaşım belge tabanlı RAG akışına daha uygun olduğu için doğrudan DB -> AnythingLLM yazmaktan daha sağlamdır.
+
+## 💬 Telegram Komutları
+
+- `/start`
+- `/tanisalim`
+- `/profilim`
+- `/tercihlerim`
+- `/tanisalim_sifirla`
+- `/otomasyon_ekle`
+- `/otomasyonlar`
+- `/otomasyon_durdur <id>`
+- `/otomasyon_baslat <id>`
+- `/otomasyon_sil <id>`
+- `/notlarima_ekle`
+
+## ⏱️ Otomasyonlar
+
+WiseClaw backend içinde çalışan scheduler ile zamanlanmış görevleri destekler.
+
+Desteklenen ilk sürüm sıklıkları:
+
+- günlük
+- hafta içi
+- haftalık
+- saatlik
+
+Otomasyon sonuçları:
+
+- Telegram'a gönderilir
+- audit log'a yazılır
+
+## 🧪 Admin Panel
+
+Admin panelde şunları yönetebilirsin:
+
+- Runtime settings
+- Model provider
+- Search provider
+- Brave / Z.AI / AnythingLLM secret'ları
+- Telegram whitelist
+- User Profiles
+- Automations
+- Memory
+- Recent Logs
+
+Önemli endpointler:
+
+- `/admin/dashboard`
+- `/admin/settings`
+- `/admin/users`
+- `/admin/profiles`
+- `/admin/automations`
+- `/admin/memory`
+- `/admin/integrations/llm`
+- `/admin/integrations/telegram`
+
+## 🚀 Kurulum
 
 ### Backend
 
@@ -39,23 +162,65 @@ npm install
 npm run dev
 ```
 
-### Smoke checks
+## 🔐 Ortam Değişkenleri
 
-```bash
+[.env.example](/Users/wisecolt-macmini/Project/wiseclaw/.env.example) dosyasını `.env` olarak kopyalayabilirsin.
-cd backend
-source .venv312/bin/activate
-uvicorn app.main:app --reload
-```
 
-Then in another shell:
+Öne çıkan alanlar:
+
+- `WISECLAW_MODEL_PROVIDER`
+- `WISECLAW_LOCAL_BASE_URL`
+- `WISECLAW_LOCAL_MODEL`
+- `WISECLAW_ZAI_BASE_URL`
+- `WISECLAW_ZAI_MODEL`
+- `WISECLAW_ANYTHINGLLM_BASE_URL`
+- `WISECLAW_ANYTHINGLLM_WORKSPACE_SLUG`
+- `WISECLAW_TELEGRAM_BOT_TOKEN`
+- `WISECLAW_BRAVE_API_KEY`
+- `WISECLAW_ZAI_API_KEY`
+- `WISECLAW_ANYTHINGLLM_API_KEY`
+
+Not: secret'lar admin panelden daha sonra da kaydedilebilir.
+
+## ✅ Hızlı Kontrol
+
+Backend ayağa kalktıktan sonra:
 
 ```bash
 curl http://127.0.0.1:8000/health
 curl http://127.0.0.1:8000/bootstrap
-curl http://127.0.0.1:8000/admin/integrations/ollama
+curl http://127.0.0.1:8000/admin/integrations/llm
 curl http://127.0.0.1:8000/admin/integrations/telegram
 ```
 
-## Environment bootstrap
+## 🔁 Restart
 
-Copy `.env.example` to `.env` and fill in only the values you need for the first boot. Secrets that are changed from the admin panel should be written to Keychain, not back to `.env`.
+Projede tek komutluk restart script'i var:
+
+```bash
+cd /Users/wisecolt-macmini/Project/wiseclaw
+zsh ./restart.sh
+```
+
+Bu script:
+
+- eski backend sürecini kapatır
+- yeni `uvicorn` sürecini başlatır
+- log'u `.wiseclaw/logs/backend.log` içine yazar
+- health check ile ayağa kalktığını doğrular
+
+## 📌 Notlar
+
+- `LM Studio status: Reachable` görünüp `model is not installed` uyarısı alıyorsan, endpoint açık ama seçili model adı yüklü modellerle birebir eşleşmiyor demektir.
+- AnythingLLM tarafında görünen workspace adı ile gerçek `slug` farklı olabilir.
+- Brave image search sonuçları Telegram'da medya grubu olarak gönderilebilir.
+- Bazı browser görevleri captcha/anti-bot nedeniyle manuel müdahale isteyebilir.
+
+## 🧭 Geliştirme Notu
+
+Bu repo hızlı iterasyonla büyüdüğü için bazı alanlarda bilinçli teknik borçlar bulunur. Ana yön şu anda şudur:
+
+- daha sağlam tool routing
+- daha iyi approval akışları
+- second brain retrieval kalitesini artırma
+- admin panel kullanılabilirliğini geliştirme

backend/README.md

@@ -4,7 +4,7 @@ FastAPI service for WiseClaw. The backend now includes:
 
 - SQLite persistence through SQLAlchemy
 - runtime/admin settings endpoints
-- Ollama integration status endpoint
+- LM Studio integration status endpoint
 - Telegram polling runtime scaffold
 
 ## Run locally

backend/app/admin/routes.py

@@ -3,9 +3,10 @@ from pydantic import BaseModel
 from sqlalchemy.orm import Session
 
 from app.admin.services import AdminService
-from app.db import get_session
+from app.config import get_settings as get_app_settings
+from app.db import SecretORM, get_session
 from app.llm.ollama_client import OllamaClient
-from app.models import MemoryRecord, OllamaStatus, RuntimeSettings, TelegramStatus, UserRecord
+from app.models import AutomationRecord, MemoryRecord, OllamaStatus, RuntimeSettings, TelegramStatus, UserProfileRecord, UserRecord
 
 router = APIRouter(prefix="/admin", tags=["admin"])
 
@@ -25,7 +26,7 @@ def get_dashboard(service: AdminService = Depends(get_admin_service)):
 
 
 @router.get("/settings", response_model=RuntimeSettings)
-def get_settings(service: AdminService = Depends(get_admin_service)):
+def get_runtime_settings(service: AdminService = Depends(get_admin_service)):
     return service.get_runtime_settings()
 
 
@@ -44,6 +45,16 @@ def post_user(payload: UserRecord, service: AdminService = Depends(get_admin_ser
     return service.save_user(payload)
 
 
+@router.get("/profiles", response_model=list[UserProfileRecord])
+def get_profiles(service: AdminService = Depends(get_admin_service)):
+    return service.list_user_profiles()
+
+
+@router.get("/automations", response_model=list[AutomationRecord])
+def get_automations(service: AdminService = Depends(get_admin_service)):
+    return service.list_automations()
+
+
 @router.get("/memory", response_model=list[MemoryRecord])
 def get_memory(service: AdminService = Depends(get_admin_service)):
     return service.list_memory()
@@ -66,11 +77,18 @@ def post_secret(payload: SecretPayload, service: AdminService = Depends(get_admi
     return {"status": "ok"}
 
 
+@router.get("/integrations/llm", response_model=OllamaStatus)
 @router.get("/integrations/ollama", response_model=OllamaStatus)
-async def get_ollama_status(service: AdminService = Depends(get_admin_service)):
+async def get_llm_status(service: AdminService = Depends(get_admin_service)):
     runtime = service.get_runtime_settings()
-    client = OllamaClient(runtime.ollama_base_url)
+    settings = get_app_settings()
-    return await client.status(runtime.default_model)
+    secret = service.session.get(SecretORM, "zai_api_key") if runtime.model_provider == "zai" else None
+    client = OllamaClient(
+        base_url=runtime.local_base_url if runtime.model_provider == "local" else settings.zai_base_url,
+        provider=runtime.model_provider,
+        api_key=secret.value if secret else settings.zai_api_key,
+    )
+    return await client.status(runtime.local_model if runtime.model_provider == "local" else runtime.zai_model)
 
 
 @router.get("/integrations/telegram", response_model=TelegramStatus)

backend/app/admin/services.py

@@ -5,15 +5,18 @@ from sqlalchemy.orm import Session
 
 from app.db import (
     AuditLogORM,
+    AutomationORM,
     AuthorizedUserORM,
+    DEFAULT_TOOLS,
     MemoryItemORM,
     SecretORM,
     SettingORM,
+    TelegramUserProfileORM,
     ToolStateORM,
     list_recent_logs,
 )
 from app.config import get_settings
-from app.models import DashboardSnapshot, MemoryRecord, RuntimeSettings, TelegramStatus, ToolToggle, UserRecord
+from app.models import AutomationRecord, DashboardSnapshot, MemoryRecord, RuntimeSettings, TelegramStatus, ToolToggle, UserProfileRecord, UserRecord
 
 
 class AdminService:
@@ -24,20 +27,30 @@ class AdminService:
         settings = {
             item.key: item.value for item in self.session.scalars(select(SettingORM))
         }
-        tools = list(self.session.scalars(select(ToolStateORM).order_by(ToolStateORM.name.asc())))
+        tool_records = {
+            tool.name: tool.enabled for tool in self.session.scalars(select(ToolStateORM).order_by(ToolStateORM.name.asc()))
+        }
         return RuntimeSettings(
             terminal_mode=int(settings["terminal_mode"]),
             search_provider=settings["search_provider"],
-            ollama_base_url=settings["ollama_base_url"],
+            model_provider=settings["model_provider"],
-            default_model=settings["default_model"],
+            local_base_url=settings["local_base_url"],
-            tools=[ToolToggle(name=tool.name, enabled=tool.enabled) for tool in tools],
+            local_model=settings["local_model"],
+            zai_model=settings["zai_model"],
+            anythingllm_base_url=settings["anythingllm_base_url"],
+            anythingllm_workspace_slug=settings["anythingllm_workspace_slug"],
+            tools=[ToolToggle(name=name, enabled=tool_records.get(name, enabled)) for name, enabled in DEFAULT_TOOLS.items()],
         )
 
     def update_runtime_settings(self, payload: RuntimeSettings) -> RuntimeSettings:
         self._save_setting("terminal_mode", str(payload.terminal_mode))
         self._save_setting("search_provider", payload.search_provider)
-        self._save_setting("ollama_base_url", payload.ollama_base_url)
+        self._save_setting("model_provider", payload.model_provider)
-        self._save_setting("default_model", payload.default_model)
+        self._save_setting("local_base_url", payload.local_base_url)
+        self._save_setting("local_model", payload.local_model)
+        self._save_setting("zai_model", payload.zai_model)
+        self._save_setting("anythingllm_base_url", payload.anythingllm_base_url)
+        self._save_setting("anythingllm_workspace_slug", payload.anythingllm_workspace_slug)
 
         for tool in payload.tools:
             record = self.session.get(ToolStateORM, tool.name)
@@ -92,6 +105,55 @@ class AdminService:
         self.session.commit()
         return user
 
+    def list_user_profiles(self) -> list[UserProfileRecord]:
+        stmt = select(TelegramUserProfileORM).order_by(TelegramUserProfileORM.updated_at.desc())
+        profiles: list[UserProfileRecord] = []
+        for item in self.session.scalars(stmt):
+            profiles.append(
+                UserProfileRecord(
+                    telegram_user_id=item.telegram_user_id,
+                    display_name=item.display_name,
+                    bio=item.bio,
+                    occupation=item.occupation,
+                    primary_use_cases=self._decode_list(item.primary_use_cases),
+                    answer_priorities=self._decode_list(item.answer_priorities),
+                    tone_preference=item.tone_preference,
+                    response_length=item.response_length,
+                    language_preference=item.language_preference,
+                    workflow_preference=item.workflow_preference,
+                    interests=self._decode_list(item.interests),
+                    approval_preferences=self._decode_list(item.approval_preferences),
+                    avoid_preferences=item.avoid_preferences,
+                    onboarding_completed=item.onboarding_completed,
+                    last_onboarding_step=item.last_onboarding_step,
+                )
+            )
+        return profiles
+
+    def list_automations(self) -> list[AutomationRecord]:
+        stmt = select(AutomationORM).order_by(AutomationORM.created_at.desc(), AutomationORM.id.desc())
+        records: list[AutomationRecord] = []
+        for item in self.session.scalars(stmt):
+            records.append(
+                AutomationRecord(
+                    id=item.id,
+                    telegram_user_id=item.telegram_user_id,
+                    name=item.name,
+                    prompt=item.prompt,
+                    schedule_type=item.schedule_type,  # type: ignore[arg-type]
+                    interval_hours=item.interval_hours,
+                    time_of_day=item.time_of_day,
+                    days_of_week=self._decode_list(item.days_of_week),
+                    status=item.status,  # type: ignore[arg-type]
+                    last_run_at=item.last_run_at,
+                    next_run_at=item.next_run_at,
+                    last_result=item.last_result,
+                    created_at=item.created_at,
+                    updated_at=item.updated_at,
+                )
+            )
+        return records
+
     def list_memory(self) -> list[MemoryRecord]:
         stmt = select(MemoryItemORM).order_by(MemoryItemORM.created_at.desc(), MemoryItemORM.id.desc()).limit(50)
         return [
@@ -140,3 +202,14 @@ class AdminService:
             if configured
             else "Telegram token is not configured.",
         )
+
+    def _decode_list(self, value: str) -> list[str]:
+        import json
+
+        try:
+            payload = json.loads(value)
+        except json.JSONDecodeError:
+            return []
+        if not isinstance(payload, list):
+            return []
+        return [str(item).strip() for item in payload if str(item).strip()]

backend/app/automation/scheduler.py

@@ -0,0 +1,73 @@
+import asyncio
+from contextlib import suppress
+from typing import Callable
+
+from app.automation.store import AutomationService
+from app.db import AutomationORM, session_scope
+from app.orchestrator import WiseClawOrchestrator
+from app.telegram.bot import TelegramBotService
+
+
+class AutomationScheduler:
+    def __init__(self, orchestrator_factory: Callable[[], object], telegram_bot: TelegramBotService) -> None:
+        self.orchestrator_factory = orchestrator_factory
+        self.telegram_bot = telegram_bot
+        self._task: asyncio.Task[None] | None = None
+        self._running = False
+
+    async def start(self) -> None:
+        if self._task is not None:
+            return
+        self._running = True
+        self._task = asyncio.create_task(self._loop())
+
+    async def stop(self) -> None:
+        self._running = False
+        if self._task is not None:
+            self._task.cancel()
+            with suppress(asyncio.CancelledError):
+                await self._task
+            self._task = None
+
+    async def _loop(self) -> None:
+        while self._running:
+            try:
+                await self._tick()
+            except Exception:
+                pass
+            await asyncio.sleep(30)
+
+    async def _tick(self) -> None:
+        with session_scope() as session:
+            service = AutomationService(session)
+            due_items = service.due_automations()
+            due_ids = [item.id for item in due_items]
+
+        for automation_id in due_ids:
+            await self._run_automation(automation_id)
+
+    async def _run_automation(self, automation_id: int) -> None:
+        with session_scope() as session:
+            service = AutomationService(session)
+            item = session.get(AutomationORM, automation_id)
+            if item is None or item.status != "active":
+                return
+            prompt = item.prompt
+            user_id = item.telegram_user_id
+
+        try:
+            with self.orchestrator_factory() as session:
+                orchestrator = WiseClawOrchestrator(session)
+                result = await orchestrator.handle_text_message(user_id, prompt)
+            await self.telegram_bot.send_message(user_id, f"⏰ Otomasyon sonucu: {result}")
+            with session_scope() as session:
+                service = AutomationService(session)
+                item = session.get(AutomationORM, automation_id)
+                if item is not None:
+                    service.mark_run_result(item, result)
+        except Exception as exc:
+            with session_scope() as session:
+                service = AutomationService(session)
+                item = session.get(AutomationORM, automation_id)
+                if item is not None:
+                    service.mark_run_error(item, str(exc))

backend/app/automation/store.py

@@ -0,0 +1,455 @@
+import json
+from datetime import UTC, datetime, timedelta
+from zoneinfo import ZoneInfo
+
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
+from app.db import AuditLogORM, AutomationORM, AutomationWizardORM
+from app.models import AutomationRecord
+
+
+LOCAL_TZ = ZoneInfo("Europe/Istanbul")
+WEEKDAY_MAP = {
+    "pzt": 0,
+    "pazartesi": 0,
+    "sal": 1,
+    "sali": 1,
+    "çar": 2,
+    "cars": 2,
+    "çarşamba": 2,
+    "carsamba": 2,
+    "per": 3,
+    "persembe": 3,
+    "perşembe": 3,
+    "cum": 4,
+    "cuma": 4,
+    "cts": 5,
+    "cumartesi": 5,
+    "paz": 6,
+    "pazar": 6,
+}
+WEEKDAY_NAMES = ["Pzt", "Sal", "Cars", "Per", "Cum", "Cts", "Paz"]
+
+
+class AutomationService:
+    def __init__(self, session: Session) -> None:
+        self.session = session
+
+    def list_automations(self, telegram_user_id: int | None = None) -> list[AutomationRecord]:
+        stmt = select(AutomationORM).order_by(AutomationORM.created_at.desc(), AutomationORM.id.desc())
+        if telegram_user_id is not None:
+            stmt = stmt.where(AutomationORM.telegram_user_id == telegram_user_id)
+        return [self._to_record(item) for item in self.session.scalars(stmt)]
+
+    def start_wizard(self, telegram_user_id: int) -> str:
+        record = self._get_or_create_wizard(telegram_user_id)
+        record.step = 0
+        record.draft_json = "{}"
+        record.updated_at = datetime.utcnow()
+        self.session.add(AuditLogORM(category="automation", message=f"automation:wizard-start:{telegram_user_id}"))
+        self.session.flush()
+        return (
+            "Yeni otomasyon olusturalim. Istersen herhangi bir adimda /iptal yazabilirsin.\n\n"
+            "1/6 Otomasyon adi ne olsun?"
+        )
+
+    def is_wizard_active(self, telegram_user_id: int) -> bool:
+        wizard = self.session.get(AutomationWizardORM, telegram_user_id)
+        return wizard is not None and wizard.step < 6
+
+    def cancel_wizard(self, telegram_user_id: int) -> str:
+        wizard = self.session.get(AutomationWizardORM, telegram_user_id)
+        if wizard is not None:
+            self.session.delete(wizard)
+            self.session.add(AuditLogORM(category="automation", message=f"automation:wizard-cancel:{telegram_user_id}"))
+            self.session.flush()
+        return "Otomasyon olusturma akisini iptal ettim."
+
+    def answer_wizard(self, telegram_user_id: int, text: str) -> tuple[str, bool]:
+        wizard = self._get_or_create_wizard(telegram_user_id)
+        draft = self._load_draft(wizard)
+        cleaned = text.strip()
+
+        if wizard.step == 0:
+            draft["name"] = cleaned
+            wizard.step = 1
+            return self._persist_wizard(wizard, draft, "2/6 Bu otomasyon ne yapsin?")
+
+        if wizard.step == 1:
+            draft["prompt"] = cleaned
+            wizard.step = 2
+            return self._persist_wizard(
+                wizard,
+                draft,
+                "3/6 Hangi siklikla calissin? Su seceneklerden birini yaz: gunluk, haftaici, haftalik, saatlik",
+            )
+
+        if wizard.step == 2:
+            schedule_type = self._parse_schedule_type(cleaned)
+            if schedule_type is None:
+                return ("Gecerli bir secim gormedim. Lutfen gunluk, haftaici, haftalik veya saatlik yaz.", False)
+            draft["schedule_type"] = schedule_type
+            wizard.step = 3
+            if schedule_type == "hourly":
+                prompt = "4/6 Kac saatte bir calissin? Ornek: 1, 2, 4, 6"
+            elif schedule_type == "weekly":
+                prompt = "4/6 Hangi gunlerde calissin? Ornek: Pzt,Cars,Cum"
+            else:
+                prompt = "4/6 Saat kacta calissin? 24 saat formatinda yaz. Ornek: 09:00"
+            return self._persist_wizard(wizard, draft, prompt)
+
+        if wizard.step == 3:
+            schedule_type = str(draft.get("schedule_type", "daily"))
+            if schedule_type == "hourly":
+                interval_hours = self._parse_interval_hours(cleaned)
+                if interval_hours is None:
+                    return ("Gecerli bir saat araligi gormedim. Lutfen 1 ile 24 arasinda bir sayi yaz.", False)
+                draft["interval_hours"] = interval_hours
+                wizard.step = 4
+                return self._persist_wizard(wizard, draft, "5/6 Aktif olarak kaydedeyim mi? evet/hayir")
+            if schedule_type == "weekly":
+                weekdays = self._parse_weekdays(cleaned)
+                if not weekdays:
+                    return ("Gunleri anlayamadim. Ornek olarak Pzt,Cars,Cum yazabilirsin.", False)
+                draft["days_of_week"] = weekdays
+                wizard.step = 4
+                return self._persist_wizard(wizard, draft, "5/6 Saat kacta calissin? 24 saat formatinda yaz. Ornek: 09:00")
+
+            time_of_day = self._parse_time(cleaned)
+            if time_of_day is None:
+                return ("Saat formatini anlayamadim. Lutfen 24 saat formatinda HH:MM yaz.", False)
+            draft["time_of_day"] = time_of_day
+            wizard.step = 4
+            return self._persist_wizard(wizard, draft, "5/6 Aktif olarak kaydedeyim mi? evet/hayir")
+
+        if wizard.step == 4:
+            schedule_type = str(draft.get("schedule_type", "daily"))
+            if schedule_type == "weekly" and "time_of_day" not in draft:
+                time_of_day = self._parse_time(cleaned)
+                if time_of_day is None:
+                    return ("Saat formatini anlayamadim. Lutfen 24 saat formatinda HH:MM yaz.", False)
+                draft["time_of_day"] = time_of_day
+                wizard.step = 5
+                summary = self._render_wizard_summary(draft)
+                return self._persist_wizard(wizard, draft, f"{summary}\n\n6/6 Aktif olarak kaydedeyim mi? evet/hayir")
+
+            active = self._parse_yes_no(cleaned)
+            if active is None:
+                return ("Lutfen evet veya hayir yaz.", False)
+            draft["status"] = "active" if active else "paused"
+            created = self._create_automation(telegram_user_id, draft)
+            self.session.delete(wizard)
+            self.session.add(AuditLogORM(category="automation", message=f"automation:created:{created.id}"))
+            self.session.flush()
+            return (self._render_created_message(created), True)
+
+        if wizard.step == 5:
+            active = self._parse_yes_no(cleaned)
+            if active is None:
+                return ("Lutfen evet veya hayir yaz.", False)
+            draft["status"] = "active" if active else "paused"
+            created = self._create_automation(telegram_user_id, draft)
+            self.session.delete(wizard)
+            self.session.add(AuditLogORM(category="automation", message=f"automation:created:{created.id}"))
+            self.session.flush()
+            return (self._render_created_message(created), True)
+
+        return ("Otomasyon wizard durumu gecersiz.", False)
+
+    def render_automation_list(self, telegram_user_id: int) -> str:
+        automations = self.list_automations(telegram_user_id)
+        if not automations:
+            return "Henuz otomasyonun yok. /otomasyon_ekle ile baslayabiliriz."
+        lines = ["Otomasyonlarin:"]
+        for item in automations:
+            next_run = self._format_display_time(item.next_run_at)
+            lines.append(f"- #{item.id} {item.name} [{item.status}] -> siradaki: {next_run}")
+        return "\n".join(lines)
+
+    def pause_automation(self, telegram_user_id: int, automation_id: int) -> str:
+        item = self._get_owned_automation(telegram_user_id, automation_id)
+        if item is None:
+            return "Bu ID ile bir otomasyon bulamadim."
+        item.status = "paused"
+        item.updated_at = datetime.utcnow()
+        self.session.add(AuditLogORM(category="automation", message=f"automation:paused:{item.id}"))
+        self.session.flush()
+        return f"Otomasyon durduruldu: #{item.id} {item.name}"
+
+    def resume_automation(self, telegram_user_id: int, automation_id: int) -> str:
+        item = self._get_owned_automation(telegram_user_id, automation_id)
+        if item is None:
+            return "Bu ID ile bir otomasyon bulamadim."
+        item.status = "active"
+        item.next_run_at = self._compute_next_run(item, from_time=datetime.utcnow())
+        item.updated_at = datetime.utcnow()
+        self.session.add(AuditLogORM(category="automation", message=f"automation:resumed:{item.id}"))
+        self.session.flush()
+        return f"Otomasyon tekrar aktif edildi: #{item.id} {item.name}"
+
+    def delete_automation(self, telegram_user_id: int, automation_id: int) -> str:
+        item = self._get_owned_automation(telegram_user_id, automation_id)
+        if item is None:
+            return "Bu ID ile bir otomasyon bulamadim."
+        name = item.name
+        self.session.delete(item)
+        self.session.add(AuditLogORM(category="automation", message=f"automation:deleted:{automation_id}"))
+        self.session.flush()
+        return f"Otomasyon silindi: #{automation_id} {name}"
+
+    def due_automations(self, now: datetime | None = None) -> list[AutomationORM]:
+        current = now or datetime.utcnow()
+        stmt = (
+            select(AutomationORM)
+            .where(AutomationORM.status == "active")
+            .where(AutomationORM.next_run_at.is_not(None))
+            .where(AutomationORM.next_run_at <= current)
+            .order_by(AutomationORM.next_run_at.asc(), AutomationORM.id.asc())
+        )
+        return list(self.session.scalars(stmt))
+
+    def mark_run_result(self, item: AutomationORM, result: str, ran_at: datetime | None = None) -> None:
+        run_time = ran_at or datetime.utcnow()
+        item.last_run_at = run_time
+        item.last_result = result[:2000]
+        item.next_run_at = self._compute_next_run(item, from_time=run_time + timedelta(seconds=1))
+        item.updated_at = datetime.utcnow()
+        self.session.add(AuditLogORM(category="automation", message=f"automation:ran:{item.id}"))
+        self.session.flush()
+
+    def mark_run_error(self, item: AutomationORM, error: str) -> None:
+        item.last_result = f"ERROR: {error[:1800]}"
+        item.next_run_at = self._compute_next_run(item, from_time=datetime.utcnow() + timedelta(minutes=5))
+        item.updated_at = datetime.utcnow()
+        self.session.add(AuditLogORM(category="automation", message=f"automation:error:{item.id}:{error[:120]}"))
+        self.session.flush()
+
+    def _persist_wizard(self, wizard: AutomationWizardORM, draft: dict[str, object], reply: str) -> tuple[str, bool]:
+        wizard.draft_json = json.dumps(draft, ensure_ascii=False)
+        wizard.updated_at = datetime.utcnow()
+        self.session.flush()
+        return reply, False
+
+    def _get_or_create_wizard(self, telegram_user_id: int) -> AutomationWizardORM:
+        wizard = self.session.get(AutomationWizardORM, telegram_user_id)
+        if wizard is None:
+            wizard = AutomationWizardORM(
+                telegram_user_id=telegram_user_id,
+                step=0,
+                draft_json="{}",
+                created_at=datetime.utcnow(),
+                updated_at=datetime.utcnow(),
+            )
+            self.session.add(wizard)
+            self.session.flush()
+        return wizard
+
+    def _load_draft(self, wizard: AutomationWizardORM) -> dict[str, object]:
+        try:
+            payload = json.loads(wizard.draft_json)
+        except json.JSONDecodeError:
+            return {}
+        return payload if isinstance(payload, dict) else {}
+
+    def _parse_schedule_type(self, text: str) -> str | None:
+        lowered = text.strip().lower()
+        mapping = {
+            "gunluk": "daily",
+            "daily": "daily",
+            "her gun": "daily",
+            "haftaici": "weekdays",
+            "hafta içi": "weekdays",
+            "weekdays": "weekdays",
+            "haftalik": "weekly",
+            "haftalık": "weekly",
+            "weekly": "weekly",
+            "saatlik": "hourly",
+            "hourly": "hourly",
+        }
+        return mapping.get(lowered)
+
+    def _parse_interval_hours(self, text: str) -> int | None:
+        try:
+            value = int(text.strip())
+        except ValueError:
+            return None
+        if 1 <= value <= 24:
+            return value
+        return None
+
+    def _parse_time(self, text: str) -> str | None:
+        cleaned = text.strip()
+        if len(cleaned) != 5 or ":" not in cleaned:
+            return None
+        hour_text, minute_text = cleaned.split(":", 1)
+        try:
+            hour = int(hour_text)
+            minute = int(minute_text)
+        except ValueError:
+            return None
+        if not (0 <= hour <= 23 and 0 <= minute <= 59):
+            return None
+        return f"{hour:02d}:{minute:02d}"
+
+    def _parse_weekdays(self, text: str) -> list[str]:
+        parts = [part.strip().lower() for part in text.replace("\n", ",").split(",")]
+        seen: list[int] = []
+        for part in parts:
+            day = WEEKDAY_MAP.get(part)
+            if day is not None and day not in seen:
+                seen.append(day)
+        return [WEEKDAY_NAMES[day] for day in sorted(seen)]
+
+    def _parse_yes_no(self, text: str) -> bool | None:
+        lowered = text.strip().lower()
+        if lowered in {"evet", "e", "yes", "y"}:
+            return True
+        if lowered in {"hayir", "hayır", "h", "no", "n"}:
+            return False
+        return None
+
+    def _render_wizard_summary(self, draft: dict[str, object]) -> str:
+        schedule_type = str(draft.get("schedule_type", "daily"))
+        label = {
+            "daily": "gunluk",
+            "weekdays": "haftaici",
+            "weekly": "haftalik",
+            "hourly": "saatlik",
+        }.get(schedule_type, schedule_type)
+        lines = [
+            "Ozet:",
+            f"- Ad: {draft.get('name', '-')}",
+            f"- Gorev: {draft.get('prompt', '-')}",
+            f"- Siklik: {label}",
+        ]
+        if schedule_type == "hourly":
+            lines.append(f"- Aralik: {draft.get('interval_hours', '-')} saat")
+        else:
+            lines.append(f"- Saat: {draft.get('time_of_day', '-')}")
+        if schedule_type == "weekly":
+            days = draft.get("days_of_week", [])
+            if isinstance(days, list):
+                lines.append(f"- Gunler: {', '.join(str(item) for item in days)}")
+        return "\n".join(lines)
+
+    def _render_created_message(self, item: AutomationORM) -> str:
+        next_run = self._format_display_time(item.next_run_at)
+        return (
+            f"Otomasyon kaydedildi: #{item.id} {item.name}\n"
+            f"- Durum: {item.status}\n"
+            f"- Siradaki calisma: {next_run}"
+        )
+
+    def _create_automation(self, telegram_user_id: int, draft: dict[str, object]) -> AutomationORM:
+        schedule_type = str(draft["schedule_type"])
+        item = AutomationORM(
+            telegram_user_id=telegram_user_id,
+            name=str(draft["name"]),
+            prompt=str(draft["prompt"]),
+            schedule_type=schedule_type,
+            interval_hours=int(draft["interval_hours"]) if draft.get("interval_hours") is not None else None,
+            time_of_day=str(draft["time_of_day"]) if draft.get("time_of_day") is not None else None,
+            days_of_week=json.dumps(draft.get("days_of_week", []), ensure_ascii=False),
+            status=str(draft.get("status", "active")),
+            created_at=datetime.utcnow(),
+            updated_at=datetime.utcnow(),
+        )
+        if item.status == "active":
+            item.next_run_at = self._compute_next_run(item, from_time=datetime.utcnow())
+        self.session.add(item)
+        self.session.flush()
+        return item
+
+    def _compute_next_run(self, item: AutomationORM, from_time: datetime) -> datetime:
+        if item.schedule_type == "hourly":
+            interval = max(item.interval_hours or 1, 1)
+            return from_time + timedelta(hours=interval)
+
+        local_now = from_time.replace(tzinfo=UTC).astimezone(LOCAL_TZ)
+        hour, minute = self._parse_hour_minute(item.time_of_day or "09:00")
+
+        if item.schedule_type == "daily":
+            return self._to_utc_naive(self._next_local_time(local_now, hour, minute))
+
+        if item.schedule_type == "weekdays":
+            candidate = self._next_local_time(local_now, hour, minute)
+            while candidate.weekday() >= 5:
+                candidate = candidate + timedelta(days=1)
+                candidate = candidate.replace(hour=hour, minute=minute, second=0, microsecond=0)
+            return self._to_utc_naive(candidate)
+
+        days = self._decode_days(item.days_of_week)
+        if not days:
+            days = [0]
+        candidate = self._next_local_time(local_now, hour, minute)
+        for _ in range(8):
+            if candidate.weekday() in days:
+                return self._to_utc_naive(candidate)
+            candidate = candidate + timedelta(days=1)
+            candidate = candidate.replace(hour=hour, minute=minute, second=0, microsecond=0)
+
+        return self._to_utc_naive(candidate)
+
+    def _next_local_time(self, local_now: datetime, hour: int, minute: int) -> datetime:
+        candidate = local_now.replace(hour=hour, minute=minute, second=0, microsecond=0)
+        if candidate <= local_now:
+            candidate = candidate + timedelta(days=1)
+        return candidate
+
+    def _parse_hour_minute(self, value: str) -> tuple[int, int]:
+        hour_text, minute_text = value.split(":", 1)
+        return int(hour_text), int(minute_text)
+
+    def _decode_days(self, value: str) -> list[int]:
+        try:
+            payload = json.loads(value)
+        except json.JSONDecodeError:
+            return []
+        result: list[int] = []
+        if not isinstance(payload, list):
+            return result
+        for item in payload:
+            label = str(item)
+            if label in WEEKDAY_NAMES:
+                result.append(WEEKDAY_NAMES.index(label))
+        return result
+
+    def _to_utc_naive(self, local_dt: datetime) -> datetime:
+        return local_dt.astimezone(UTC).replace(tzinfo=None)
+
+    def _format_display_time(self, value: datetime | None) -> str:
+        if value is None:
+            return "hesaplanmadi"
+        return value.replace(tzinfo=UTC).astimezone(LOCAL_TZ).strftime("%Y-%m-%d %H:%M")
+
+    def _to_record(self, item: AutomationORM) -> AutomationRecord:
+        days = []
+        try:
+            payload = json.loads(item.days_of_week)
+            if isinstance(payload, list):
+                days = [str(day) for day in payload]
+        except json.JSONDecodeError:
+            days = []
+        return AutomationRecord(
+            id=item.id,
+            telegram_user_id=item.telegram_user_id,
+            name=item.name,
+            prompt=item.prompt,
+            schedule_type=item.schedule_type,  # type: ignore[arg-type]
+            interval_hours=item.interval_hours,
+            time_of_day=item.time_of_day,
+            days_of_week=days,
+            status=item.status,  # type: ignore[arg-type]
+            last_run_at=item.last_run_at,
+            next_run_at=item.next_run_at,
+            last_result=item.last_result,
+            created_at=item.created_at,
+            updated_at=item.updated_at,
+        )
+
+    def _get_owned_automation(self, telegram_user_id: int, automation_id: int) -> AutomationORM | None:
+        item = self.session.get(AutomationORM, automation_id)
+        if item is None or item.telegram_user_id != telegram_user_id:
+            return None
+        return item

backend/app/config.py

@@ -15,14 +15,20 @@ class Settings(BaseSettings):
     db_url: str = "sqlite:///./wiseclaw.db"
     admin_host: str = "127.0.0.1"
     admin_port: int = 8000
-    ollama_base_url: str = "http://127.0.0.1:11434"
+    model_provider: str = "local"
-    default_model: str = "qwen3.5:4b"
+    local_base_url: str = "http://127.0.0.1:1234"
+    local_model: str = "qwen3-vl-8b-instruct-mlx@5bit"
+    zai_base_url: str = "https://api.z.ai/api/anthropic"
+    zai_model: str = "glm-5"
+    anythingllm_base_url: str = "http://127.0.0.1:3001"
+    anythingllm_workspace_slug: str = "wiseclaw"
     search_provider: str = "brave"
     telegram_bot_token: str = Field(default="", repr=False)
     brave_api_key: str = Field(default="", repr=False)
+    zai_api_key: str = Field(default="", repr=False)
+    anythingllm_api_key: str = Field(default="", repr=False)
 
 
 @lru_cache
 def get_settings() -> Settings:
     return Settings()
-

backend/app/db.py

@@ -8,15 +8,10 @@ from sqlalchemy.orm import DeclarativeBase, Mapped, Session, mapped_column, sess
 from app.config import get_settings
 
 
-DEFAULT_SETTINGS = {
-    "terminal_mode": "3",
-    "search_provider": "brave",
-    "ollama_base_url": "http://127.0.0.1:11434",
-    "default_model": "qwen3.5:4b",
-}
-
 DEFAULT_TOOLS = {
     "brave_search": True,
+    "second_brain": True,
+    "browser_use": True,
     "searxng_search": False,
     "web_fetch": True,
     "apple_notes": True,
@@ -82,7 +77,88 @@ class SecretORM(Base):
     updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
 
 
+class TelegramUserProfileORM(Base):
+    __tablename__ = "telegram_user_profiles"
+
+    telegram_user_id: Mapped[int] = mapped_column(Integer, primary_key=True)
+    display_name: Mapped[str | None] = mapped_column(String(255))
+    bio: Mapped[str | None] = mapped_column(Text)
+    occupation: Mapped[str | None] = mapped_column(String(255))
+    primary_use_cases: Mapped[str] = mapped_column(Text, nullable=False, default="[]")
+    answer_priorities: Mapped[str] = mapped_column(Text, nullable=False, default="[]")
+    tone_preference: Mapped[str | None] = mapped_column(String(100))
+    response_length: Mapped[str | None] = mapped_column(String(50))
+    language_preference: Mapped[str | None] = mapped_column(String(100))
+    workflow_preference: Mapped[str | None] = mapped_column(String(100))
+    interests: Mapped[str] = mapped_column(Text, nullable=False, default="[]")
+    approval_preferences: Mapped[str] = mapped_column(Text, nullable=False, default="[]")
+    avoid_preferences: Mapped[str | None] = mapped_column(Text)
+    onboarding_completed: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
+    last_onboarding_step: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
+    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+
+
+class AutomationORM(Base):
+    __tablename__ = "automations"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    telegram_user_id: Mapped[int] = mapped_column(Integer, nullable=False, index=True)
+    name: Mapped[str] = mapped_column(String(255), nullable=False)
+    prompt: Mapped[str] = mapped_column(Text, nullable=False)
+    schedule_type: Mapped[str] = mapped_column(String(50), nullable=False)
+    interval_hours: Mapped[int | None] = mapped_column(Integer)
+    time_of_day: Mapped[str | None] = mapped_column(String(20))
+    days_of_week: Mapped[str] = mapped_column(Text, nullable=False, default="[]")
+    status: Mapped[str] = mapped_column(String(20), nullable=False, default="active")
+    last_run_at: Mapped[datetime | None] = mapped_column(DateTime)
+    next_run_at: Mapped[datetime | None] = mapped_column(DateTime)
+    last_result: Mapped[str | None] = mapped_column(Text)
+    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+
+
+class AutomationWizardORM(Base):
+    __tablename__ = "automation_wizards"
+
+    telegram_user_id: Mapped[int] = mapped_column(Integer, primary_key=True)
+    step: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
+    draft_json: Mapped[str] = mapped_column(Text, nullable=False, default="{}")
+    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+
+
+class SecondBrainNoteORM(Base):
+    __tablename__ = "second_brain_notes"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    telegram_user_id: Mapped[int] = mapped_column(Integer, nullable=False, index=True)
+    content: Mapped[str] = mapped_column(Text, nullable=False)
+    source: Mapped[str] = mapped_column(String(50), nullable=False, default="telegram")
+    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+
+
+class SecondBrainCaptureORM(Base):
+    __tablename__ = "second_brain_captures"
+
+    telegram_user_id: Mapped[int] = mapped_column(Integer, primary_key=True)
+    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, nullable=False)
+
+
 settings = get_settings()
+DEFAULT_SETTINGS = {
+    "terminal_mode": "3",
+    "search_provider": settings.search_provider,
+    "model_provider": settings.model_provider,
+    "local_base_url": settings.local_base_url,
+    "local_model": settings.local_model,
+    "zai_model": settings.zai_model,
+    "anythingllm_base_url": settings.anythingllm_base_url,
+    "anythingllm_workspace_slug": settings.anythingllm_workspace_slug,
+}
+
 engine = create_engine(
     settings.db_url,
     connect_args={"check_same_thread": False} if settings.db_url.startswith("sqlite") else {},
@@ -130,4 +206,3 @@ def session_scope() -> Iterator[Session]:
 def list_recent_logs(session: Session, limit: int = 10) -> list[str]:
     stmt = select(AuditLogORM).order_by(AuditLogORM.created_at.desc(), AuditLogORM.id.desc()).limit(limit)
     return [row.message for row in session.scalars(stmt)]
-

backend/app/llm/ollama_client.py

@@ -1,37 +1,323 @@
-import httpx
+import asyncio
-from httpx import HTTPError
+import json
+from typing import Any
+
+import httpx
+from httpx import HTTPError, HTTPStatusError, ReadTimeout
+
+from app.models import ModelProvider, OllamaStatus
 
-from app.models import OllamaStatus
 
 class OllamaClient:
-    def __init__(self, base_url: str) -> None:
+    def __init__(self, base_url: str, provider: ModelProvider = "local", api_key: str = "") -> None:
         self.base_url = base_url.rstrip("/")
+        self.provider = provider
+        self.api_key = api_key
 
     async def health(self) -> bool:
-        async with httpx.AsyncClient(timeout=5.0) as client:
+        try:
-            response = await client.get(f"{self.base_url}/api/tags")
+            await self._fetch_models()
-        return response.is_success
+        except HTTPError:
+            return False
+        return True
 
     async def status(self, model: str) -> OllamaStatus:
+        if self.provider == "zai" and not self.api_key.strip():
+            return OllamaStatus(
+                reachable=False,
+                provider=self.provider,
+                base_url=self.base_url,
+                model=model,
+                message="Z.AI API key is not configured.",
+            )
         try:
-            async with httpx.AsyncClient(timeout=5.0) as client:
+            installed_models = await self._fetch_models()
-                response = await client.get(f"{self.base_url}/api/tags")
-            response.raise_for_status()
         except HTTPError as exc:
             return OllamaStatus(
                 reachable=False,
+                provider=self.provider,
                 base_url=self.base_url,
                 model=model,
-                message=f"Ollama unreachable: {exc}",
+                message=f"LLM endpoint unreachable: {exc}",
             )
 
-        payload = response.json()
-        installed_models = [item.get("name", "") for item in payload.get("models", []) if item.get("name")]
         has_model = model in installed_models
         return OllamaStatus(
             reachable=True,
+            provider=self.provider,
             base_url=self.base_url,
             model=model,
             installed_models=installed_models,
-            message="Model found." if has_model else "Ollama reachable but model is not installed.",
+            message="Model found." if has_model else "LLM endpoint reachable but model is not installed.",
         )
+
+    async def chat(self, model: str, system_prompt: str, user_message: str) -> str:
+        result = await self.chat_completion(
+            model=model,
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": user_message},
+            ],
+        )
+        if result["tool_calls"]:
+            raise HTTPError("Chat completion requested tools in plain chat mode.")
+        payload = result["content"].strip()
+        if not payload:
+            raise HTTPError("Chat completion returned empty content.")
+        return payload
+
+    async def chat_completion(
+        self,
+        model: str,
+        messages: list[dict[str, object]],
+        tools: list[dict[str, Any]] | None = None,
+        tool_choice: str | dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        self._ensure_provider_ready()
+        if self.provider == "zai":
+            return await self._anthropic_chat_completion(model, messages, tools)
+
+        payload: dict[str, Any] = {
+            "model": model,
+            "messages": messages,
+            "temperature": 0.3,
+        }
+        if tools:
+            payload["tools"] = tools
+            payload["tool_choice"] = tool_choice or "auto"
+
+        endpoint = f"{self.base_url}/chat/completions" if self.provider == "zai" else f"{self.base_url}/v1/chat/completions"
+
+        try:
+            async with httpx.AsyncClient(timeout=180.0) as client:
+                response = await self._post_with_retry(client, endpoint, payload)
+        except ReadTimeout as exc:
+            raise HTTPError("LLM request timed out after 180 seconds.") from exc
+
+        data = response.json()
+        choices = data.get("choices", [])
+        if not choices:
+            raise HTTPError("Chat completion returned no choices.")
+
+        message = choices[0].get("message", {})
+        content = message.get("content", "")
+        if isinstance(content, list):
+            text_parts = [part.get("text", "") for part in content if isinstance(part, dict)]
+            content = "".join(text_parts)
+        tool_calls = []
+        for call in message.get("tool_calls", []) or []:
+            function = call.get("function", {})
+            raw_arguments = function.get("arguments", "{}")
+            try:
+                arguments = json.loads(raw_arguments) if isinstance(raw_arguments, str) else raw_arguments
+            except json.JSONDecodeError:
+                arguments = {"raw": raw_arguments}
+            tool_calls.append(
+                {
+                    "id": call.get("id", ""),
+                    "name": function.get("name", ""),
+                    "arguments": arguments,
+                }
+            )
+        return {
+            "content": str(content or ""),
+            "tool_calls": tool_calls,
+            "message": message,
+        }
+
+    async def _anthropic_chat_completion(
+        self,
+        model: str,
+        messages: list[dict[str, object]],
+        tools: list[dict[str, Any]] | None = None,
+    ) -> dict[str, Any]:
+        system_prompt, anthropic_messages = self._to_anthropic_messages(messages)
+        payload: dict[str, Any] = {
+            "model": model,
+            "max_tokens": 2048,
+            "messages": anthropic_messages,
+        }
+        if system_prompt:
+            payload["system"] = system_prompt
+        anthropic_tools = self._to_anthropic_tools(tools or [])
+        if anthropic_tools:
+            payload["tools"] = anthropic_tools
+
+        try:
+            async with httpx.AsyncClient(timeout=180.0) as client:
+                response = await self._post_with_retry(client, f"{self.base_url}/v1/messages", payload)
+        except ReadTimeout as exc:
+            raise HTTPError("LLM request timed out after 180 seconds.") from exc
+
+        data = response.json()
+        blocks = data.get("content", []) or []
+        text_parts: list[str] = []
+        tool_calls: list[dict[str, Any]] = []
+        for block in blocks:
+            if not isinstance(block, dict):
+                continue
+            block_type = block.get("type")
+            if block_type == "text":
+                text_parts.append(str(block.get("text", "")))
+            if block_type == "tool_use":
+                tool_calls.append(
+                    {
+                        "id": str(block.get("id", "")),
+                        "name": str(block.get("name", "")),
+                        "arguments": block.get("input", {}) if isinstance(block.get("input"), dict) else {},
+                    }
+                )
+
+        return {
+            "content": "".join(text_parts).strip(),
+            "tool_calls": tool_calls,
+            "message": data,
+        }
+
+    async def _fetch_models(self) -> list[str]:
+        self._ensure_provider_ready()
+        async with httpx.AsyncClient(timeout=5.0) as client:
+            if self.provider == "zai":
+                response = await client.get(f"{self.base_url}/v1/models", headers=self._headers())
+                if response.is_success:
+                    payload = response.json()
+                    return [item.get("id", "") for item in payload.get("data", []) if item.get("id")]
+                return ["glm-4.7", "glm-5"]
+
+            response = await client.get(f"{self.base_url}/api/tags")
+            if response.is_success:
+                payload = response.json()
+                if isinstance(payload, dict) and "models" in payload:
+                    return [item.get("name", "") for item in payload.get("models", []) if item.get("name")]
+
+            response = await client.get(f"{self.base_url}/v1/models")
+            response.raise_for_status()
+            payload = response.json()
+            return [item.get("id", "") for item in payload.get("data", []) if item.get("id")]
+
+    def _headers(self) -> dict[str, str]:
+        if self.provider != "zai":
+            return {}
+        return {
+            "x-api-key": self.api_key,
+            "anthropic-version": "2023-06-01",
+            "content-type": "application/json",
+        }
+
+    def _ensure_provider_ready(self) -> None:
+        if self.provider == "zai" and not self.api_key.strip():
+            raise HTTPError("Z.AI API key is not configured.")
+
+    async def _post_with_retry(
+        self,
+        client: httpx.AsyncClient,
+        endpoint: str,
+        payload: dict[str, Any],
+    ) -> httpx.Response:
+        delays = [0.0, 1.5, 4.0]
+        last_exc: HTTPStatusError | None = None
+
+        for attempt, delay in enumerate(delays, start=1):
+            if delay > 0:
+                await asyncio.sleep(delay)
+            response = await client.post(endpoint, json=payload, headers=self._headers())
+            try:
+                response.raise_for_status()
+                return response
+            except HTTPStatusError as exc:
+                last_exc = exc
+                if response.status_code != 429 or attempt == len(delays):
+                    raise self._translate_status_error(exc) from exc
+
+        if last_exc is not None:
+            raise self._translate_status_error(last_exc) from last_exc
+        raise HTTPError("LLM request failed.")
+
+    def _translate_status_error(self, exc: HTTPStatusError) -> HTTPError:
+        status = exc.response.status_code
+        if status == 429:
+            provider = "Z.AI" if self.provider == "zai" else "LLM endpoint"
+            return HTTPError(f"{provider} rate limit reached. Please wait a bit and try again.")
+        if status == 401:
+            provider = "Z.AI" if self.provider == "zai" else "LLM endpoint"
+            return HTTPError(f"{provider} authentication failed. Check the configured API key.")
+        if status == 404:
+            return HTTPError("Configured LLM endpoint path was not found.")
+        return HTTPError(f"LLM request failed with HTTP {status}.")
+
+    def _to_anthropic_tools(self, tools: list[dict[str, Any]]) -> list[dict[str, Any]]:
+        anthropic_tools: list[dict[str, Any]] = []
+        for tool in tools:
+            function = tool.get("function", {}) if isinstance(tool, dict) else {}
+            if not isinstance(function, dict):
+                continue
+            anthropic_tools.append(
+                {
+                    "name": str(function.get("name", "")),
+                    "description": str(function.get("description", "")),
+                    "input_schema": function.get("parameters", {"type": "object", "properties": {}}),
+                }
+            )
+        return [tool for tool in anthropic_tools if tool["name"]]
+
+    def _to_anthropic_messages(self, messages: list[dict[str, object]]) -> tuple[str, list[dict[str, object]]]:
+        system_parts: list[str] = []
+        anthropic_messages: list[dict[str, object]] = []
+
+        for message in messages:
+            role = str(message.get("role", "user"))
+            if role == "system":
+                content = str(message.get("content", "")).strip()
+                if content:
+                    system_parts.append(content)
+                continue
+
+            if role == "tool":
+                content = str(message.get("content", ""))
+                tool_use_id = str(message.get("tool_call_id", ""))
+                tool_result_block = {
+                    "type": "tool_result",
+                    "tool_use_id": tool_use_id,
+                    "content": content,
+                }
+                if anthropic_messages and anthropic_messages[-1]["role"] == "user":
+                    existing = anthropic_messages[-1]["content"]
+                    if isinstance(existing, list):
+                        existing.append(tool_result_block)
+                        continue
+                anthropic_messages.append({"role": "user", "content": [tool_result_block]})
+                continue
+
+            content_blocks: list[dict[str, object]] = []
+            content = message.get("content", "")
+            if isinstance(content, str) and content.strip():
+                content_blocks.append({"type": "text", "text": content})
+
+            raw_tool_calls = message.get("tool_calls", [])
+            if isinstance(raw_tool_calls, list):
+                for call in raw_tool_calls:
+                    if not isinstance(call, dict):
+                        continue
+                    function = call.get("function", {})
+                    if not isinstance(function, dict):
+                        continue
+                    arguments = function.get("arguments", {})
+                    if isinstance(arguments, str):
+                        try:
+                            arguments = json.loads(arguments)
+                        except json.JSONDecodeError:
+                            arguments = {}
+                    content_blocks.append(
+                        {
+                            "type": "tool_use",
+                            "id": str(call.get("id", "")),
+                            "name": str(function.get("name", "")),
+                            "input": arguments if isinstance(arguments, dict) else {},
+                        }
+                    )
+
+            if not content_blocks:
+                continue
+            anthropic_messages.append({"role": "assistant" if role == "assistant" else "user", "content": content_blocks})
+
+        return "\n\n".join(part for part in system_parts if part), anthropic_messages

backend/app/llm/planner.py

@@ -1,15 +1,48 @@
+from datetime import datetime
+
 from app.models import RuntimeSettings
 
 
-def build_prompt_context(message: str, runtime: RuntimeSettings, memory: list[str]) -> dict[str, object]:
+def build_prompt_context(
+    message: str,
+    runtime: RuntimeSettings,
+    memory: list[str],
+    workspace_root: str,
+    profile_preferences: str = "",
+    second_brain_context: str = "",
+) -> dict[str, object]:
+    tool_names = [tool.name for tool in runtime.tools if tool.enabled]
+    memory_lines = "\n".join(f"- {item}" for item in memory) if memory else "- No recent memory."
+    profile_lines = profile_preferences or "- No saved profile preferences."
+    second_brain_lines = second_brain_context or "- No second-brain context retrieved for this request."
+    today = datetime.now().strftime("%Y-%m-%d")
     return {
         "system": (
             "You are WiseClaw, a local-first assistant running on macOS. "
-            "Use tools carefully and obey terminal safety mode."
+            "Keep replies concise, practical, and safe. "
+            f"Enabled tools: {', '.join(tool_names) if tool_names else 'none'}.\n"
+            f"Today's date: {today}\n"
+            f"Current workspace root: {workspace_root}\n"
+            "Relative file paths are relative to the workspace root.\n"
+            "When the user asks for current information such as today's price, exchange rate, latest news, or current status, do not invent or shift the year. Use today's date above and prefer tools for fresh data.\n"
+            "If the user asks for the working directory, use the terminal tool with `pwd`.\n"
+            "If the user names a local file such as README.md, try that relative path first with the files tool.\n"
+            "If the user asks you to create or update files, use the files tool with action `write`.\n"
+            "If the user asks you to create a note in Apple Notes, use apple_notes with action `create_note`.\n"
+            "If the user asks about their saved notes, documents, archive, workspace knowledge, or second brain, use second_brain or the injected second-brain context before answering.\n"
+            "For a static HTML/CSS/JS app, write the files first, then use the terminal tool to run a local server in the background with a command like `python3 -m http.server 9990 -d <folder>`.\n"
+            "If the user asks you to open, inspect, interact with, or extract information from a website in a real browser, use browser_use.\n"
+            "If the user asks you to inspect files, browse the web, or run terminal commands, use the matching tool instead of guessing. "
+            "If a required tool fails or is unavailable, say that clearly and do not pretend you completed the action.\n"
+            "Retrieved second-brain context for this request:\n"
+            f"{second_brain_lines}\n"
+            "Saved user profile preferences:\n"
+            f"{profile_lines}\n"
+            "Recent memory:\n"
+            f"{memory_lines}"
         ),
         "message": message,
-        "model": runtime.default_model,
+        "model": runtime.local_model if runtime.model_provider == "local" else runtime.zai_model,
         "memory": memory,
-        "available_tools": [tool.name for tool in runtime.tools if tool.enabled],
+        "available_tools": tool_names,
     }
-

backend/app/main.py

@@ -3,6 +3,7 @@ from contextlib import asynccontextmanager
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 
+from app.automation.scheduler import AutomationScheduler
 from app.admin.routes import router as admin_router
 from app.config import get_settings
 from app.db import init_db, session_scope
@@ -21,6 +22,8 @@ async def lifespan(_: FastAPI):
     if settings.telegram_bot_token:
         runtime_services.telegram_bot = TelegramBotService(settings.telegram_bot_token, session_scope)
         await runtime_services.telegram_bot.start()
+        runtime_services.automation_scheduler = AutomationScheduler(session_scope, runtime_services.telegram_bot)
+        await runtime_services.automation_scheduler.start()
     yield
     await runtime_services.shutdown()
 
@@ -30,6 +33,7 @@ app = FastAPI(title="WiseClaw", version="0.1.0", lifespan=lifespan)
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["http://127.0.0.1:5173", "http://localhost:5173"],
+    allow_origin_regex=r"^https?://(localhost|127\.0\.0\.1|192\.168\.\d{1,3}\.\d{1,3})(:\d+)?$",
     allow_credentials=True,
     allow_methods=["*"],
     allow_headers=["*"],

backend/app/models.py

@@ -6,6 +6,9 @@ from pydantic import BaseModel, Field
 
 TerminalMode = Literal[1, 2, 3]
 SearchProvider = Literal["brave", "searxng"]
+ModelProvider = Literal["local", "zai"]
+AutomationScheduleType = Literal["daily", "weekdays", "weekly", "hourly"]
+AutomationStatus = Literal["active", "paused"]
 
 
 class HealthStatus(BaseModel):
@@ -32,14 +35,38 @@ class UserRecord(BaseModel):
     is_active: bool = True
 
 
+class UserProfileRecord(BaseModel):
+    telegram_user_id: int
+    display_name: str | None = None
+    bio: str | None = None
+    occupation: str | None = None
+    primary_use_cases: list[str] = Field(default_factory=list)
+    answer_priorities: list[str] = Field(default_factory=list)
+    tone_preference: str | None = None
+    response_length: str | None = None
+    language_preference: str | None = None
+    workflow_preference: str | None = None
+    interests: list[str] = Field(default_factory=list)
+    approval_preferences: list[str] = Field(default_factory=list)
+    avoid_preferences: str | None = None
+    onboarding_completed: bool = False
+    last_onboarding_step: int = 0
+
+
 class RuntimeSettings(BaseModel):
     terminal_mode: TerminalMode = 3
     search_provider: SearchProvider = "brave"
-    ollama_base_url: str = "http://127.0.0.1:11434"
+    model_provider: ModelProvider = "local"
-    default_model: str = "qwen3.5:4b"
+    local_base_url: str = "http://127.0.0.1:1234"
+    local_model: str = "qwen3-vl-8b-instruct-mlx@5bit"
+    zai_model: Literal["glm-4.7", "glm-5"] = "glm-5"
+    anythingllm_base_url: str = "http://127.0.0.1:3001"
+    anythingllm_workspace_slug: str = "wiseclaw"
     tools: list[ToolToggle] = Field(
         default_factory=lambda: [
             ToolToggle(name="brave_search", enabled=True),
+            ToolToggle(name="second_brain", enabled=True),
+            ToolToggle(name="browser_use", enabled=True),
             ToolToggle(name="searxng_search", enabled=False),
             ToolToggle(name="web_fetch", enabled=True),
             ToolToggle(name="apple_notes", enabled=True),
@@ -65,6 +92,7 @@ class MemoryRecord(BaseModel):
 
 class OllamaStatus(BaseModel):
     reachable: bool
+    provider: ModelProvider = "local"
     base_url: str
     model: str
     installed_models: list[str] = Field(default_factory=list)
@@ -75,3 +103,20 @@ class TelegramStatus(BaseModel):
     configured: bool
     polling_active: bool
     message: str
+
+
+class AutomationRecord(BaseModel):
+    id: int
+    telegram_user_id: int
+    name: str
+    prompt: str
+    schedule_type: AutomationScheduleType
+    interval_hours: int | None = None
+    time_of_day: str | None = None
+    days_of_week: list[str] = Field(default_factory=list)
+    status: AutomationStatus = "active"
+    last_run_at: datetime | None = None
+    next_run_at: datetime | None = None
+    last_result: str | None = None
+    created_at: datetime
+    updated_at: datetime

backend/app/profile/store.py

@@ -0,0 +1,276 @@
+import json
+from datetime import datetime
+
+from sqlalchemy.orm import Session
+
+from app.db import AuditLogORM, TelegramUserProfileORM
+from app.models import UserProfileRecord
+
+
+SKIP_TOKENS = {"pas", "gec", "geç", "skip", "-"}
+
+ONBOARDING_QUESTIONS: list[dict[str, str]] = [
+    {"field": "display_name", "prompt": "1/12 Sana nasıl hitap etmeliyim?"},
+    {"field": "bio", "prompt": "2/12 Kısaca kendini nasıl tanıtırsın?"},
+    {"field": "occupation", "prompt": "3/12 En çok hangi işle uğraşıyorsun?"},
+    {"field": "primary_use_cases", "prompt": "4/12 WiseClaw'ı en çok hangi işler için kullanacaksın? Virgülle ayırabilirsin."},
+    {"field": "answer_priorities", "prompt": "5/12 Cevaplarımda en çok neye önem veriyorsun? Örnek: hız, detay, yaratıcılık, teknik doğruluk."},
+    {"field": "tone_preference", "prompt": "6/12 Nasıl bir tonda konuşayım?"},
+    {"field": "response_length", "prompt": "7/12 Cevaplar kısa mı, orta mı, detaylı mı olsun?"},
+    {"field": "language_preference", "prompt": "8/12 Hangi dilde konuşalım?"},
+    {"field": "workflow_preference", "prompt": "9/12 İşlerde önce plan mı istersin, yoksa direkt aksiyon mu?"},
+    {"field": "interests", "prompt": "10/12 Özellikle ilgilendiğin konular veya hobilerin neler? Virgülle ayırabilirsin."},
+    {"field": "approval_preferences", "prompt": "11/12 Onay almadan yapmamamı istediğin şeyler neler? Virgülle ayırabilirsin."},
+    {"field": "avoid_preferences", "prompt": "12/12 Özellikle kaçınmamı istediğin bir üslup veya davranış var mı?"},
+]
+
+
+class UserProfileService:
+    def __init__(self, session: Session) -> None:
+        self.session = session
+
+    def get_profile(self, telegram_user_id: int) -> UserProfileRecord | None:
+        record = self.session.get(TelegramUserProfileORM, telegram_user_id)
+        if record is None:
+            return None
+        return self._to_record(record)
+
+    def start_onboarding(self, telegram_user_id: int) -> str:
+        record = self._get_or_create_profile(telegram_user_id)
+        record.onboarding_completed = False
+        record.last_onboarding_step = 0
+        record.updated_at = datetime.utcnow()
+        self.session.add(
+            AuditLogORM(category="profile", message=f"profile:onboarding-started:{telegram_user_id}")
+        )
+        self.session.flush()
+        intro = (
+            "Ben WiseClaw. Seni daha iyi tanimak ve cevaplarimi sana gore ayarlamak icin 12 kisa soru soracagim.\n"
+            "Istersen herhangi bir soruya `pas` diyerek gecebilirsin.\n\n"
+        )
+        return intro + ONBOARDING_QUESTIONS[0]["prompt"]
+
+    def reset_onboarding(self, telegram_user_id: int) -> str:
+        record = self._get_or_create_profile(telegram_user_id)
+        record.display_name = None
+        record.bio = None
+        record.occupation = None
+        record.primary_use_cases = "[]"
+        record.answer_priorities = "[]"
+        record.tone_preference = None
+        record.response_length = None
+        record.language_preference = None
+        record.workflow_preference = None
+        record.interests = "[]"
+        record.approval_preferences = "[]"
+        record.avoid_preferences = None
+        record.onboarding_completed = False
+        record.last_onboarding_step = 0
+        record.updated_at = datetime.utcnow()
+        self.session.add(
+            AuditLogORM(category="profile", message=f"profile:onboarding-reset:{telegram_user_id}")
+        )
+        self.session.flush()
+        return "Profil sifirlandi. /tanisalim yazarak tekrar baslayabiliriz."
+
+    def is_onboarding_active(self, telegram_user_id: int) -> bool:
+        record = self.session.get(TelegramUserProfileORM, telegram_user_id)
+        if record is None:
+            return False
+        return not record.onboarding_completed and record.last_onboarding_step < len(ONBOARDING_QUESTIONS)
+
+    def answer_onboarding(self, telegram_user_id: int, text: str) -> tuple[str, bool]:
+        record = self._get_or_create_profile(telegram_user_id)
+        step = min(record.last_onboarding_step, len(ONBOARDING_QUESTIONS) - 1)
+        question = ONBOARDING_QUESTIONS[step]
+        self._apply_answer(record, question["field"], text)
+        record.last_onboarding_step = step + 1
+        record.updated_at = datetime.utcnow()
+
+        if record.last_onboarding_step >= len(ONBOARDING_QUESTIONS):
+            record.onboarding_completed = True
+            self.session.add(
+                AuditLogORM(category="profile", message=f"profile:onboarding-completed:{telegram_user_id}")
+            )
+            self.session.flush()
+            return self.render_completion_message(record), True
+
+        self.session.add(
+            AuditLogORM(
+                category="profile",
+                message=f"profile:onboarding-step:{telegram_user_id}:{record.last_onboarding_step}",
+            )
+        )
+        self.session.flush()
+        return ONBOARDING_QUESTIONS[record.last_onboarding_step]["prompt"], False
+
+    def render_profile_summary(self, telegram_user_id: int) -> str:
+        record = self.session.get(TelegramUserProfileORM, telegram_user_id)
+        if record is None:
+            return "Henuz bir profilin yok. /tanisalim yazarak baslayabiliriz."
+        profile = self._to_record(record)
+        lines = [
+            "Profil ozetin:",
+            f"- Hitap: {profile.display_name or 'belirtilmedi'}",
+            f"- Kisa tanitim: {profile.bio or 'belirtilmedi'}",
+            f"- Ugras alani: {profile.occupation or 'belirtilmedi'}",
+            f"- Kullanim amaci: {', '.join(profile.primary_use_cases) if profile.primary_use_cases else 'belirtilmedi'}",
+            f"- Oncelikler: {', '.join(profile.answer_priorities) if profile.answer_priorities else 'belirtilmedi'}",
+            f"- Ton: {profile.tone_preference or 'belirtilmedi'}",
+            f"- Cevap uzunlugu: {profile.response_length or 'belirtilmedi'}",
+            f"- Dil: {profile.language_preference or 'belirtilmedi'}",
+            f"- Calisma bicimi: {profile.workflow_preference or 'belirtilmedi'}",
+            f"- Ilgi alanlari: {', '.join(profile.interests) if profile.interests else 'belirtilmedi'}",
+            f"- Onay beklentileri: {', '.join(profile.approval_preferences) if profile.approval_preferences else 'belirtilmedi'}",
+            f"- Kacinmami istedigin seyler: {profile.avoid_preferences or 'belirtilmedi'}",
+        ]
+        if not profile.onboarding_completed:
+            lines.append(
+                f"- Durum: onboarding devam ediyor, sira {profile.last_onboarding_step + 1}/{len(ONBOARDING_QUESTIONS)}"
+            )
+        return "\n".join(lines)
+
+    def render_preferences_summary(self, telegram_user_id: int) -> str:
+        record = self.session.get(TelegramUserProfileORM, telegram_user_id)
+        if record is None:
+            return "Henuz tercihlerin kayitli degil. /tanisalim ile baslayabiliriz."
+        profile = self._to_record(record)
+        return "\n".join(
+            [
+                "Tercihlerin:",
+                f"- Ton: {profile.tone_preference or 'belirtilmedi'}",
+                f"- Cevap uzunlugu: {profile.response_length or 'belirtilmedi'}",
+                f"- Dil: {profile.language_preference or 'belirtilmedi'}",
+                f"- Calisma bicimi: {profile.workflow_preference or 'belirtilmedi'}",
+                f"- Oncelikler: {', '.join(profile.answer_priorities) if profile.answer_priorities else 'belirtilmedi'}",
+                f"- Onay beklentileri: {', '.join(profile.approval_preferences) if profile.approval_preferences else 'belirtilmedi'}",
+                f"- Kacinmami istedigin seyler: {profile.avoid_preferences or 'belirtilmedi'}",
+            ]
+        )
+
+    def build_prompt_profile(self, telegram_user_id: int) -> str:
+        record = self.session.get(TelegramUserProfileORM, telegram_user_id)
+        if record is None:
+            return ""
+        profile = self._to_record(record)
+        instructions: list[str] = []
+        if profile.display_name:
+            instructions.append(f"Kullaniciya `{profile.display_name}` diye hitap edebilirsin.")
+        if profile.language_preference:
+            instructions.append(f"Varsayilan dili `{profile.language_preference}` olarak kullan.")
+        if profile.tone_preference:
+            instructions.append(f"Cevap tonunu su tercihe uydur: {profile.tone_preference}.")
+        if profile.response_length:
+            instructions.append(f"Varsayilan cevap uzunlugu tercihi: {profile.response_length}.")
+        if profile.workflow_preference:
+            instructions.append(f"Is yapis tarzinda su tercihe uy: {profile.workflow_preference}.")
+        if profile.answer_priorities:
+            instructions.append(
+                "Kullanici su niteliklere oncelik veriyor: " + ", ".join(profile.answer_priorities) + "."
+            )
+        if profile.primary_use_cases:
+            instructions.append(
+                "WiseClaw'i en cok su isler icin kullaniyor: " + ", ".join(profile.primary_use_cases) + "."
+            )
+        if profile.interests:
+            instructions.append(
+                "Gerekirse ornekleri su ilgi alanlarina yaklastir: " + ", ".join(profile.interests) + "."
+            )
+        if profile.approval_preferences:
+            instructions.append(
+                "Su konularda once onay bekle: " + ", ".join(profile.approval_preferences) + "."
+            )
+        if profile.avoid_preferences:
+            instructions.append(f"Su uslup veya davranislardan kacin: {profile.avoid_preferences}.")
+        return "\n".join(f"- {item}" for item in instructions)
+
+    def profile_memory_summary(self, telegram_user_id: int) -> str:
+        record = self.session.get(TelegramUserProfileORM, telegram_user_id)
+        if record is None:
+            return ""
+        profile = self._to_record(record)
+        parts = []
+        if profile.display_name:
+            parts.append(f"hitap={profile.display_name}")
+        if profile.language_preference:
+            parts.append(f"dil={profile.language_preference}")
+        if profile.tone_preference:
+            parts.append(f"ton={profile.tone_preference}")
+        if profile.response_length:
+            parts.append(f"uzunluk={profile.response_length}")
+        if profile.workflow_preference:
+            parts.append(f"calisma={profile.workflow_preference}")
+        if profile.primary_use_cases:
+            parts.append("amac=" + ",".join(profile.primary_use_cases[:3]))
+        return "profile_summary:" + "; ".join(parts)
+
+    def _get_or_create_profile(self, telegram_user_id: int) -> TelegramUserProfileORM:
+        record = self.session.get(TelegramUserProfileORM, telegram_user_id)
+        if record is None:
+            record = TelegramUserProfileORM(
+                telegram_user_id=telegram_user_id,
+                primary_use_cases="[]",
+                answer_priorities="[]",
+                interests="[]",
+                approval_preferences="[]",
+                onboarding_completed=False,
+                last_onboarding_step=0,
+                created_at=datetime.utcnow(),
+                updated_at=datetime.utcnow(),
+            )
+            self.session.add(record)
+            self.session.flush()
+        return record
+
+    def _apply_answer(self, record: TelegramUserProfileORM, field: str, answer: str) -> None:
+        cleaned = answer.strip()
+        if cleaned.lower() in SKIP_TOKENS:
+            return
+        if field in {"primary_use_cases", "answer_priorities", "interests", "approval_preferences"}:
+            setattr(record, field, json.dumps(self._split_list(cleaned), ensure_ascii=False))
+            return
+        setattr(record, field, cleaned)
+
+    def _split_list(self, value: str) -> list[str]:
+        parts = [item.strip() for item in value.replace("\n", ",").split(",")]
+        return [item for item in parts if item]
+
+    def _decode_list(self, value: str) -> list[str]:
+        try:
+            payload = json.loads(value)
+        except json.JSONDecodeError:
+            return []
+        if not isinstance(payload, list):
+            return []
+        return [str(item).strip() for item in payload if str(item).strip()]
+
+    def _to_record(self, record: TelegramUserProfileORM) -> UserProfileRecord:
+        return UserProfileRecord(
+            telegram_user_id=record.telegram_user_id,
+            display_name=record.display_name,
+            bio=record.bio,
+            occupation=record.occupation,
+            primary_use_cases=self._decode_list(record.primary_use_cases),
+            answer_priorities=self._decode_list(record.answer_priorities),
+            tone_preference=record.tone_preference,
+            response_length=record.response_length,
+            language_preference=record.language_preference,
+            workflow_preference=record.workflow_preference,
+            interests=self._decode_list(record.interests),
+            approval_preferences=self._decode_list(record.approval_preferences),
+            avoid_preferences=record.avoid_preferences,
+            onboarding_completed=record.onboarding_completed,
+            last_onboarding_step=record.last_onboarding_step,
+        )
+
+    def render_completion_message(self, record: TelegramUserProfileORM) -> str:
+        profile = self._to_record(record)
+        summary = [
+            "Seni tanidim ve tercihlerini kaydettim.",
+            f"- Hitap: {profile.display_name or 'belirtilmedi'}",
+            f"- Ton: {profile.tone_preference or 'belirtilmedi'}",
+            f"- Dil: {profile.language_preference or 'belirtilmedi'}",
+            f"- Cevap uzunlugu: {profile.response_length or 'belirtilmedi'}",
+            f"- Calisma bicimi: {profile.workflow_preference or 'belirtilmedi'}",
+        ]
+        return "\n".join(summary)

backend/app/runtime.py

@@ -1,14 +1,18 @@
 from contextlib import suppress
 
+from app.automation.scheduler import AutomationScheduler
 from app.telegram.bot import TelegramBotService
 
 
 class RuntimeServices:
     def __init__(self) -> None:
         self.telegram_bot: TelegramBotService | None = None
+        self.automation_scheduler: AutomationScheduler | None = None
 
     async def shutdown(self) -> None:
+        if self.automation_scheduler is not None:
+            with suppress(Exception):
+                await self.automation_scheduler.stop()
         if self.telegram_bot is not None:
             with suppress(Exception):
                 await self.telegram_bot.stop()
-

backend/app/second_brain/store.py

@@ -0,0 +1,218 @@
+from __future__ import annotations
+
+import json
+from datetime import datetime
+from pathlib import Path
+
+import httpx
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
+from app.config import get_settings
+from app.db import AuditLogORM, SecondBrainCaptureORM, SecondBrainNoteORM, SecretORM, SettingORM
+
+
+class SecondBrainService:
+    FILENAME = "second_brain.md"
+
+    def __init__(self, session: Session) -> None:
+        self.session = session
+
+    def start_capture(self, telegram_user_id: int) -> str:
+        record = self.session.get(SecondBrainCaptureORM, telegram_user_id)
+        if record is None:
+            record = SecondBrainCaptureORM(
+                telegram_user_id=telegram_user_id,
+                created_at=datetime.utcnow(),
+                updated_at=datetime.utcnow(),
+            )
+            self.session.add(record)
+        else:
+            record.updated_at = datetime.utcnow()
+        self.session.add(
+            AuditLogORM(category="second_brain", message=f"second_brain:capture-start:{telegram_user_id}")
+        )
+        self.session.flush()
+        return "Second brain notunu gonder. Iptal etmek istersen /iptal yazabilirsin."
+
+    def is_capture_active(self, telegram_user_id: int) -> bool:
+        return self.session.get(SecondBrainCaptureORM, telegram_user_id) is not None
+
+    def cancel_capture(self, telegram_user_id: int) -> str:
+        record = self.session.get(SecondBrainCaptureORM, telegram_user_id)
+        if record is not None:
+            self.session.delete(record)
+            self.session.add(
+                AuditLogORM(category="second_brain", message=f"second_brain:capture-cancel:{telegram_user_id}")
+            )
+            self.session.flush()
+        return "Second brain not ekleme akisini durdurdum."
+
+    async def save_note_and_sync(self, telegram_user_id: int, text: str, workspace_root: Path) -> str:
+        content = text.strip()
+        if not content:
+            return "Bos bir not kaydedemem. Lutfen not metnini gonder."
+
+        capture = self.session.get(SecondBrainCaptureORM, telegram_user_id)
+        if capture is not None:
+            self.session.delete(capture)
+
+        note = SecondBrainNoteORM(
+            telegram_user_id=telegram_user_id,
+            content=content,
+            source="telegram",
+            created_at=datetime.utcnow(),
+            updated_at=datetime.utcnow(),
+        )
+        self.session.add(note)
+        self.session.flush()
+
+        markdown_path = self._write_markdown(workspace_root)
+        sync_result = await self._sync_markdown(markdown_path)
+
+        self.session.add(
+            AuditLogORM(
+                category="second_brain",
+                message=f"second_brain:note-saved:{telegram_user_id}:{note.id}",
+            )
+        )
+        self.session.add(
+            AuditLogORM(
+                category="second_brain",
+                message=f"second_brain:sync:{json.dumps(sync_result, ensure_ascii=False)}",
+            )
+        )
+        self.session.flush()
+
+        if sync_result["status"] != "ok":
+            message = str(sync_result.get("message", "Second brain sync failed."))
+            return f"Notu kaydettim ama AnythingLLM senkronu basarisiz oldu: {message}"
+
+        return "Notunu kaydettim ve ikinci beynine senkronladim."
+
+    def _write_markdown(self, workspace_root: Path) -> Path:
+        notes = list(
+            self.session.scalars(
+                select(SecondBrainNoteORM).order_by(SecondBrainNoteORM.created_at.asc(), SecondBrainNoteORM.id.asc())
+            )
+        )
+        lines = [
+            "# Second Brain",
+            "",
+            "WiseClaw tarafindan Telegram notlarindan uretilen senkron belge.",
+            "",
+        ]
+        for note in notes:
+            timestamp = note.created_at.strftime("%Y-%m-%d %H:%M:%S")
+            lines.extend(
+                [
+                    f"## Note {note.id} - {timestamp}",
+                    f"- Source: {note.source}",
+                    f"- Telegram User: {note.telegram_user_id}",
+                    "",
+                    note.content,
+                    "",
+                ]
+            )
+        markdown_path = workspace_root / "backend" / self.FILENAME
+        markdown_path.write_text("\n".join(lines).strip() + "\n", encoding="utf-8")
+        return markdown_path
+
+    async def _sync_markdown(self, markdown_path: Path) -> dict[str, object]:
+        settings = get_settings()
+        runtime_settings = {
+            item.key: item.value for item in self.session.scalars(select(SettingORM))
+        }
+        base_url = runtime_settings.get("anythingllm_base_url", settings.anythingllm_base_url).rstrip("/")
+        workspace_slug = runtime_settings.get("anythingllm_workspace_slug", settings.anythingllm_workspace_slug).strip()
+        secret = self.session.get(SecretORM, "anythingllm_api_key")
+        api_key = secret.value if secret else settings.anythingllm_api_key
+        if not base_url:
+            return {"status": "error", "message": "AnythingLLM base URL is not configured."}
+        if not workspace_slug:
+            return {"status": "error", "message": "AnythingLLM workspace slug is not configured."}
+        if not api_key:
+            return {"status": "error", "message": "AnythingLLM API key is not configured."}
+
+        headers = {"Authorization": f"Bearer {api_key}"}
+        try:
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                workspace_response = await client.get(
+                    f"{base_url}/api/v1/workspace/{workspace_slug}",
+                    headers=headers,
+                )
+                workspace_response.raise_for_status()
+                workspace_payload = workspace_response.json()
+                deletes = self._find_existing_second_brain_docs(workspace_payload)
+                if deletes:
+                    delete_response = await client.post(
+                        f"{base_url}/api/v1/workspace/{workspace_slug}/update-embeddings",
+                        headers={**headers, "Content-Type": "application/json"},
+                        json={"deletes": deletes},
+                    )
+                    delete_response.raise_for_status()
+
+                with markdown_path.open("rb") as file_handle:
+                    upload_response = await client.post(
+                        f"{base_url}/api/v1/document/upload",
+                        headers=headers,
+                        files={"file": (markdown_path.name, file_handle, "text/markdown")},
+                    )
+                upload_response.raise_for_status()
+                upload_payload = upload_response.json()
+                uploaded_location = self._extract_uploaded_location(upload_payload)
+                if not uploaded_location:
+                    return {"status": "error", "message": "AnythingLLM upload did not return a document location."}
+
+                attach_response = await client.post(
+                    f"{base_url}/api/v1/workspace/{workspace_slug}/update-embeddings",
+                    headers={**headers, "Content-Type": "application/json"},
+                    json={"adds": [uploaded_location]},
+                )
+                attach_response.raise_for_status()
+        except httpx.HTTPError as exc:
+            return {"status": "error", "message": str(exc)}
+
+        return {"status": "ok", "location": uploaded_location, "deleted": deletes}
+
+    def _find_existing_second_brain_docs(self, workspace_payload: dict[str, object]) -> list[str]:
+        documents = []
+        workspace_items = workspace_payload.get("workspace", [])
+        if isinstance(workspace_items, list) and workspace_items:
+            first = workspace_items[0]
+            if isinstance(first, dict):
+                documents = first.get("documents", [])
+        if not isinstance(documents, list):
+            return []
+
+        paths: list[str] = []
+        for item in documents:
+            if not isinstance(item, dict):
+                continue
+            filename = str(item.get("filename", "")).strip()
+            docpath = str(item.get("docpath", "")).strip()
+            metadata_raw = item.get("metadata")
+            metadata_title = ""
+            if isinstance(metadata_raw, str):
+                try:
+                    metadata = json.loads(metadata_raw)
+                    if isinstance(metadata, dict):
+                        metadata_title = str(metadata.get("title", "")).strip()
+                except json.JSONDecodeError:
+                    metadata_title = ""
+            if (
+                filename.startswith(f"{Path(self.FILENAME).stem}.md-")
+                or filename.startswith(self.FILENAME)
+                or metadata_title == self.FILENAME
+            ) and docpath:
+                paths.append(docpath)
+        return paths
+
+    def _extract_uploaded_location(self, payload: dict[str, object]) -> str:
+        documents = payload.get("documents", [])
+        if not isinstance(documents, list) or not documents:
+            return ""
+        first = documents[0]
+        if not isinstance(first, dict):
+            return ""
+        return str(first.get("location", "")).strip()

backend/app/security.py

@@ -19,6 +19,9 @@ SAFE_COMMAND_PREFIXES = (
     "whoami",
     "uname",
     "ps",
+    "python3 -m http.server",
+    "python -m http.server",
+    "npm run build",
 )
 
 APPROVAL_REQUIRED_PREFIXES = (
@@ -74,4 +77,3 @@ def evaluate_terminal_command(command: str, mode: int) -> TerminalDecision:
         return TerminalDecision(decision="approval", reason="Command needs approval.")
 
     return TerminalDecision(decision="approval", reason="Unknown command defaults to approval.")
-

backend/app/static_templates.py

@@ -0,0 +1,80 @@
+def get_game_template_hint(request_text: str) -> str:
+    lowered = request_text.lower()
+    if "three.js" in lowered or "threejs" in lowered or "webgl" in lowered or "3d" in lowered:
+        return THREE_JS_TEMPLATE_HINT
+    if "phaser" in lowered:
+        return PHASER_TEMPLATE_HINT
+    if "canvas" in lowered or "snake" in lowered or "pong" in lowered or "tetris" in lowered:
+        return CANVAS_TEMPLATE_HINT
+    return ""
+
+
+CANVAS_TEMPLATE_HINT = """
+Starter template guidance for a plain canvas game:
+
+index.html
+- Create a centered app shell with:
+  - a header area for title and score
+  - a main game canvas
+  - a mobile controls section with large directional/action buttons
+  - a restart button
+
+style.css
+- Use a responsive layout that stacks nicely on mobile.
+- Keep the canvas visible without horizontal scrolling.
+- Add `touch-action: none;` for interactive game controls.
+- Use clear visual contrast and large tap targets.
+
+script.js
+- Create explicit game state variables.
+- Create a `resizeGame()` function if canvas sizing matters.
+- Create a `startGame()` / `resetGame()` flow.
+- Create a `gameLoop()` driven by `requestAnimationFrame` or a timed tick.
+- Add keyboard listeners and touch/click listeners.
+- Keep gameplay fully self-contained without external assets.
+"""
+
+
+THREE_JS_TEMPLATE_HINT = """
+Starter template guidance for a Three.js browser game:
+
+index.html
+- Include a UI overlay for score, status, and restart.
+- Load Three.js with a browser-safe CDN module import in script.js.
+
+style.css
+- Full-viewport scene layout.
+- Overlay HUD pinned above the renderer.
+- Mobile-safe action buttons if touch input is needed.
+
+script.js
+- Set up:
+  - scene
+  - perspective camera
+  - renderer sized to the viewport
+  - ambient + directional light
+  - resize handler
+  - animation loop
+- Keep geometry lightweight for mobile.
+- Use simple primitives and colors instead of relying on asset pipelines.
+- Implement gameplay logic on top of the render loop, not just a visual demo.
+"""
+
+
+PHASER_TEMPLATE_HINT = """
+Starter template guidance for a Phaser game:
+
+index.html
+- Include a HUD area for score and status.
+- Load Phaser from a browser-ready CDN.
+
+style.css
+- Center the game canvas and ensure it scales on mobile.
+- Add large touch-friendly controls when needed.
+
+script.js
+- Use a Phaser config with `type`, `width`, `height`, `parent`, `backgroundColor`, and scaling rules.
+- Create at least one scene with `preload`, `create`, and `update`.
+- Use primitive graphics or generated shapes if no external assets are required.
+- Add restart behavior and visible score/status updates outside or inside the Phaser scene.
+"""

backend/app/telegram/bot.py

@@ -1,12 +1,18 @@
+import asyncio
+import json
+from contextlib import suppress
 from typing import Any
 
-from telegram import Update
+from telegram import BotCommand, InputMediaPhoto, Update
+from telegram.constants import ChatAction
 from telegram.ext import Application, CommandHandler, ContextTypes, MessageHandler, filters
 
 from app.orchestrator import WiseClawOrchestrator
 
 
 class TelegramBotService:
+    MAX_MESSAGE_LEN = 3500
+
     def __init__(self, token: str, orchestrator_factory: Any) -> None:
         self.token = token
         self.orchestrator_factory = orchestrator_factory
@@ -15,15 +21,73 @@ class TelegramBotService:
     async def process_message(self, telegram_user_id: int, text: str) -> str:
         with self.orchestrator_factory() as session:
             orchestrator = WiseClawOrchestrator(session)
-            return orchestrator.handle_text_message(telegram_user_id=telegram_user_id, text=text)
+            return await orchestrator.handle_text_message(telegram_user_id=telegram_user_id, text=text)
+
+    async def process_message_payload(self, telegram_user_id: int, text: str) -> dict[str, object]:
+        with self.orchestrator_factory() as session:
+            orchestrator = WiseClawOrchestrator(session)
+            payload = await orchestrator.handle_message_payload(telegram_user_id=telegram_user_id, text=text)
+            text_value = str(payload.get("text", ""))
+            if text_value.startswith("__WC_MEDIA__"):
+                try:
+                    decoded = json.loads(text_value[len("__WC_MEDIA__") :])
+                except json.JSONDecodeError:
+                    return {"text": text_value, "media": []}
+                return {
+                    "text": str(decoded.get("text", "")),
+                    "media": decoded.get("media", []) if isinstance(decoded.get("media"), list) else [],
+                }
+            return payload
+
+    async def send_message(self, chat_id: int, text: str) -> None:
+        if self.application is None:
+            return
+        for chunk in self._chunk_message(text):
+            await self.application.bot.send_message(chat_id=chat_id, text=chunk)
+
+    async def send_media(self, chat_id: int, media: list[dict[str, str]]) -> None:
+        if self.application is None:
+            return
+        clean_media = [item for item in media[:3] if item.get("url")]
+        if not clean_media:
+            return
+        if len(clean_media) == 1:
+            item = clean_media[0]
+            try:
+                await self.application.bot.send_photo(chat_id=chat_id, photo=item["url"], caption=item.get("caption", "")[:1024])
+            except Exception:
+                return
+            return
+        media_group = []
+        for item in clean_media:
+            media_group.append(InputMediaPhoto(media=item["url"], caption=item.get("caption", "")[:1024]))
+        try:
+            await self.application.bot.send_media_group(chat_id=chat_id, media=media_group)
+        except Exception:
+            for item in clean_media:
+                try:
+                    await self.application.bot.send_photo(chat_id=chat_id, photo=item["url"], caption=item.get("caption", "")[:1024])
+                except Exception:
+                    continue
 
     async def start(self) -> None:
         if not self.token:
             return
         self.application = Application.builder().token(self.token).build()
         self.application.add_handler(CommandHandler("start", self._on_start))
+        self.application.add_handler(CommandHandler("tanisalim", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("profilim", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("tercihlerim", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("tanisalim_sifirla", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("otomasyon_ekle", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("otomasyonlar", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("otomasyon_durdur", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("otomasyon_baslat", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("otomasyon_sil", self._on_command_passthrough))
+        self.application.add_handler(CommandHandler("notlarima_ekle", self._on_command_passthrough))
         self.application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, self._on_text))
         await self.application.initialize()
+        await self.application.bot.set_my_commands(self._telegram_commands())
         await self.application.start()
         await self.application.updater.start_polling(drop_pending_updates=True)
 
@@ -44,8 +108,72 @@ class TelegramBotService:
         )
 
     async def _on_text(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
+        if update.message is None or update.effective_user is None or update.message.text is None:
+            return
+        typing_task = asyncio.create_task(self._send_typing(update.effective_chat.id, context))
+        try:
+            reply = await self.process_message_payload(update.effective_user.id, update.message.text)
+        finally:
+            typing_task.cancel()
+            with suppress(asyncio.CancelledError):
+                await typing_task
+        media = reply.get("media", []) if isinstance(reply, dict) else []
+        if isinstance(media, list) and media:
+            await self.send_media(
+                update.effective_chat.id,
+                [item for item in media if isinstance(item, dict)],
+            )
+        text_reply = str(reply.get("text", "")) if isinstance(reply, dict) else str(reply)
+        for chunk in self._chunk_message(text_reply):
+            await update.message.reply_text(chunk)
+
+    async def _on_command_passthrough(self, update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
         del context
         if update.message is None or update.effective_user is None or update.message.text is None:
             return
-        reply = await self.process_message(update.effective_user.id, update.message.text)
+        reply = await self.process_message_payload(update.effective_user.id, update.message.text)
-        await update.message.reply_text(reply)
+        media = reply.get("media", []) if isinstance(reply, dict) else []
+        if isinstance(media, list) and media:
+            await self.send_media(
+                update.effective_chat.id,
+                [item for item in media if isinstance(item, dict)],
+            )
+        text_reply = str(reply.get("text", "")) if isinstance(reply, dict) else str(reply)
+        for chunk in self._chunk_message(text_reply):
+            await update.message.reply_text(chunk)
+
+    async def _send_typing(self, chat_id: int, context: ContextTypes.DEFAULT_TYPE) -> None:
+        while True:
+            await context.bot.send_chat_action(chat_id=chat_id, action=ChatAction.TYPING)
+            await asyncio.sleep(4)
+
+    def _chunk_message(self, text: str) -> list[str]:
+        if len(text) <= self.MAX_MESSAGE_LEN:
+            return [text]
+
+        chunks: list[str] = []
+        remaining = text
+        while len(remaining) > self.MAX_MESSAGE_LEN:
+            split_at = remaining.rfind("\n", 0, self.MAX_MESSAGE_LEN)
+            if split_at <= 0:
+                split_at = self.MAX_MESSAGE_LEN
+            chunks.append(remaining[:split_at].strip())
+            remaining = remaining[split_at:].strip()
+        if remaining:
+            chunks.append(remaining)
+        return chunks
+
+    def _telegram_commands(self) -> list[BotCommand]:
+        return [
+            BotCommand("start", "WiseClaw'i baslat (wc)"),
+            BotCommand("tanisalim", "12 soruluk tanisma akisini baslat (wc)"),
+            BotCommand("profilim", "Kayitli profil ozetimi goster (wc)"),
+            BotCommand("tercihlerim", "Kayitli iletisim tercihlerini goster (wc)"),
+            BotCommand("tanisalim_sifirla", "Tanisma profilini sifirla (wc)"),
+            BotCommand("otomasyon_ekle", "Yeni otomasyon wizard'ini baslat (wc)"),
+            BotCommand("otomasyonlar", "Otomasyon listesini goster (wc)"),
+            BotCommand("otomasyon_durdur", "Bir otomasyonu durdur: /otomasyon_durdur <id> (wc)"),
+            BotCommand("otomasyon_baslat", "Bir otomasyonu yeniden baslat: /otomasyon_baslat <id> (wc)"),
+            BotCommand("otomasyon_sil", "Bir otomasyonu sil: /otomasyon_sil <id> (wc)"),
+            BotCommand("notlarima_ekle", "Ikinci beyne yeni not ekle (wc)"),
+        ]

backend/app/tools/apple_notes.py

@@ -1,18 +1,150 @@
+import asyncio
 from typing import Any
 
 from app.tools.base import Tool
 
 
+def _escape_applescript(value: str) -> str:
+    return value.replace("\\", "\\\\").replace('"', '\\"')
+
+
+def _body_to_notes_html(title: str, body: str) -> str:
+    if not body:
+        return title
+    html_body = body.replace("\n", "<br>")
+    return f"{title}<br><br>{html_body}"
+
+
 class AppleNotesTool(Tool):
     name = "apple_notes"
     description = "Create notes in Apple Notes through AppleScript."
 
-    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+    def parameters_schema(self) -> dict[str, Any]:
-        title = str(payload.get("title", "")).strip()
         return {
-            "tool": self.name,
+            "type": "object",
-            "status": "stub",
+            "properties": {
-            "title": title,
+                "action": {
-            "message": "Apple Notes integration is not wired yet.",
+                    "type": "string",
+                    "enum": ["create_note"],
+                    "description": "The Apple Notes action to perform.",
+                },
+                "title": {
+                    "type": "string",
+                    "description": "Title for the new note.",
+                },
+                "body": {
+                    "type": "string",
+                    "description": "Optional body content for the note.",
+                },
+                "folder": {
+                    "type": "string",
+                    "description": "Optional Notes folder name. Defaults to Notes.",
+                },
+            },
+            "required": ["action", "title"],
+            "additionalProperties": False,
         }
 
+    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+        action = str(payload.get("action", "create_note")).strip()
+        title = str(payload.get("title", "")).strip()
+        body = str(payload.get("body", "")).strip()
+        folder = str(payload.get("folder", "Notes")).strip() or "Notes"
+
+        if action != "create_note":
+            return {
+                "tool": self.name,
+                "status": "error",
+                "message": f"Unsupported action: {action}",
+            }
+        if not title:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "message": "title is required.",
+            }
+
+        note_html = _body_to_notes_html(title, body)
+        script = f'''
+tell application "Notes"
+    activate
+    if not (exists folder "{_escape_applescript(folder)}") then
+        make new folder with properties {{name:"{_escape_applescript(folder)}"}}
+    end if
+    set targetFolder to folder "{_escape_applescript(folder)}"
+    set newNote to make new note at targetFolder with properties {{body:"{_escape_applescript(note_html)}"}}
+    return id of newNote
+end tell
+'''.strip()
+
+        created = await self._run_osascript(script)
+        if created["status"] != "ok":
+            return {
+                "tool": self.name,
+                "status": "error",
+                "action": action,
+                "title": title,
+                "folder": folder,
+                "message": created["message"],
+            }
+
+        note_id = created["stdout"]
+        verify_script = f'''
+tell application "Notes"
+    set matchedNotes to every note of folder "{_escape_applescript(folder)}" whose id is "{_escape_applescript(note_id)}"
+    if (count of matchedNotes) is 0 then
+        return "NOT_FOUND"
+    end if
+    set matchedNote to item 1 of matchedNotes
+    return name of matchedNote
+end tell
+'''.strip()
+        verified = await self._run_osascript(verify_script)
+        if verified["status"] != "ok":
+            return {
+                "tool": self.name,
+                "status": "error",
+                "action": action,
+                "title": title,
+                "folder": folder,
+                "note_id": note_id,
+                "message": f'Note was created but could not be verified: {verified["message"]}',
+            }
+
+        verified_title = verified["stdout"]
+        if verified_title == "NOT_FOUND":
+            return {
+                "tool": self.name,
+                "status": "error",
+                "action": action,
+                "title": title,
+                "folder": folder,
+                "note_id": note_id,
+                "message": "Note was created but could not be found during verification.",
+            }
+
+        return {
+            "tool": self.name,
+            "status": "ok",
+            "action": action,
+            "title": title,
+            "body": body,
+            "folder": folder,
+            "note_id": note_id,
+            "verified_title": verified_title,
+        }
+
+    async def _run_osascript(self, script: str) -> dict[str, str]:
+        process = await asyncio.create_subprocess_exec(
+            "osascript",
+            "-e",
+            script,
+            stdout=asyncio.subprocess.PIPE,
+            stderr=asyncio.subprocess.PIPE,
+        )
+        stdout, stderr = await process.communicate()
+        stdout_text = stdout.decode("utf-8", errors="replace").strip()
+        stderr_text = stderr.decode("utf-8", errors="replace").strip()
+        if process.returncode != 0:
+            return {"status": "error", "message": stderr_text or "AppleScript command failed.", "stdout": stdout_text}
+        return {"status": "ok", "message": "", "stdout": stdout_text}

backend/app/tools/base.py

@@ -6,7 +6,19 @@ class Tool(ABC):
     name: str
     description: str
 
+    def definition(self) -> dict[str, Any]:
+        return {
+            "type": "function",
+            "function": {
+                "name": self.name,
+                "description": self.description,
+                "parameters": self.parameters_schema(),
+            },
+        }
+
+    def parameters_schema(self) -> dict[str, Any]:
+        return {"type": "object", "properties": {}}
+
     @abstractmethod
     async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
         raise NotImplementedError
-

backend/app/tools/brave_search.py

@@ -1,3 +1,4 @@
+import httpx
 from typing import Any
 
 from app.tools.base import Tool
@@ -7,12 +8,119 @@ class BraveSearchTool(Tool):
     name = "brave_search"
     description = "Search the web with Brave Search."
 
-    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+    def __init__(self, api_key: str) -> None:
-        query = str(payload.get("query", "")).strip()
+        self.api_key = api_key
+
+    def parameters_schema(self) -> dict[str, Any]:
         return {
-            "tool": self.name,
+            "type": "object",
-            "status": "stub",
+            "properties": {
-            "query": query,
+                "query": {
-            "message": "Brave Search integration is not wired yet.",
+                    "type": "string",
+                    "description": "The web search query.",
+                },
+                "count": {
+                    "type": "integer",
+                    "description": "Optional number of results from 1 to 10.",
+                    "minimum": 1,
+                    "maximum": 10,
+                },
+                "mode": {
+                    "type": "string",
+                    "description": "Search mode: web or images.",
+                    "enum": ["web", "images"],
+                },
+            },
+            "required": ["query"],
+            "additionalProperties": False,
         }
 
+    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+        query = str(payload.get("query", "")).strip()
+        count = int(payload.get("count", 5) or 5)
+        count = max(1, min(10, count))
+        mode = str(payload.get("mode", "web") or "web").strip().lower()
+        if mode not in {"web", "images"}:
+            mode = "web"
+
+        if not query:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "message": "Query is required.",
+            }
+
+        if not self.api_key:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "query": query,
+                "message": "Brave Search API key is not configured.",
+            }
+
+        try:
+            async with httpx.AsyncClient(timeout=15.0) as client:
+                response = await client.get(
+                    "https://api.search.brave.com/res/v1/images/search"
+                    if mode == "images"
+                    else "https://api.search.brave.com/res/v1/web/search",
+                    headers={
+                        "Accept": "application/json",
+                        "Accept-Encoding": "gzip",
+                        "X-Subscription-Token": self.api_key,
+                    },
+                    params={
+                        "q": query,
+                        "count": count,
+                        "search_lang": "en",
+                        "country": "us",
+                    },
+                )
+                response.raise_for_status()
+        except httpx.HTTPError as exc:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "query": query,
+                "message": str(exc),
+            }
+
+        payload_json = response.json()
+        if mode == "images":
+            images = []
+            for item in payload_json.get("results", [])[:count]:
+                images.append(
+                    {
+                        "title": item.get("title", ""),
+                        "url": item.get("url", ""),
+                        "source": item.get("source", ""),
+                        "thumbnail": item.get("thumbnail", {}).get("src", "") if isinstance(item.get("thumbnail"), dict) else "",
+                        "properties_url": item.get("properties", {}).get("url", "") if isinstance(item.get("properties"), dict) else "",
+                    }
+                )
+            return {
+                "tool": self.name,
+                "status": "ok",
+                "mode": mode,
+                "query": query,
+                "images": images,
+                "total_results": len(images),
+            }
+
+        results = []
+        for item in payload_json.get("web", {}).get("results", [])[:count]:
+            results.append(
+                {
+                    "title": item.get("title", ""),
+                    "url": item.get("url", ""),
+                    "description": item.get("description", ""),
+                }
+            )
+        return {
+            "tool": self.name,
+            "status": "ok",
+            "mode": mode,
+            "query": query,
+            "results": results,
+            "total_results": len(results),
+        }

backend/app/tools/browser_use.py

@@ -0,0 +1,296 @@
+import asyncio
+import json
+import os
+from pathlib import Path
+from typing import Any
+from urllib.parse import urlparse
+
+import httpx
+
+from app.config import Settings
+from app.models import RuntimeSettings
+from app.tools.base import Tool
+
+
+class BrowserUseTool(Tool):
+    name = "browser_use"
+    description = (
+        "Use the browser-use agent for higher-level real browser tasks such as navigating sites, "
+        "extracting lists, comparing items, and completing multi-step browsing workflows."
+    )
+
+    def __init__(self, workspace_root: Path, runtime: RuntimeSettings, settings: Settings, api_key: str) -> None:
+        self.workspace_root = workspace_root.resolve()
+        self.runtime = runtime
+        self.settings = settings
+        self.api_key = api_key
+        self.debug_port = 9223 + (abs(hash(str(self.workspace_root))) % 200)
+        self.chromium_path = (
+            Path.home()
+            / "Library"
+            / "Caches"
+            / "ms-playwright"
+            / "chromium-1194"
+            / "chrome-mac"
+            / "Chromium.app"
+            / "Contents"
+            / "MacOS"
+            / "Chromium"
+        )
+
+    def parameters_schema(self) -> dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "task": {
+                    "type": "string",
+                    "description": "The high-level browser task to complete.",
+                },
+                "start_url": {
+                    "type": "string",
+                    "description": "Optional URL to open first before the agent starts.",
+                },
+                "max_steps": {
+                    "type": "integer",
+                    "description": "Maximum browser-use steps before stopping. Defaults to 20.",
+                },
+                "keep_alive": {
+                    "type": "boolean",
+                    "description": "Keep the browser open after the run finishes.",
+                },
+                "allowed_domains": {
+                    "type": "array",
+                    "items": {"type": "string"},
+                    "description": "Optional list of allowed domains for the run.",
+                },
+            },
+            "required": ["task"],
+            "additionalProperties": False,
+        }
+
+    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+        task = str(payload.get("task", "")).strip()
+        if not task:
+            return {"tool": self.name, "status": "error", "message": "task is required."}
+
+        start_url = str(payload.get("start_url", "")).strip()
+        max_steps = int(payload.get("max_steps", 20))
+        keep_alive = bool(payload.get("keep_alive", False))
+        allowed_domains = self._normalize_domains(payload.get("allowed_domains"))
+
+        if start_url and not allowed_domains:
+            host = urlparse(start_url).netloc
+            if host:
+                allowed_domains = [host]
+
+        llm_error = self._provider_readiness_error()
+        if llm_error is not None:
+            return {"tool": self.name, "status": "error", "message": llm_error}
+
+        try:
+            result = await self._run_agent(
+                task=self._compose_task(task, start_url),
+                max_steps=max_steps,
+                keep_alive=keep_alive,
+                allowed_domains=allowed_domains,
+            )
+        except Exception as exc:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "message": str(exc),
+            }
+
+        return {
+            "tool": self.name,
+            "status": "ok" if result["success"] else "error",
+            **result,
+        }
+
+    async def _run_agent(
+        self,
+        task: str,
+        max_steps: int,
+        keep_alive: bool,
+        allowed_domains: list[str],
+    ) -> dict[str, Any]:
+        from browser_use import Agent, Browser, ChatAnthropic, ChatOpenAI
+
+        cdp_url = await self._ensure_persistent_browser()
+        browser = Browser(
+            cdp_url=cdp_url,
+            is_local=True,
+            keep_alive=True,
+            allowed_domains=allowed_domains or None,
+        )
+        llm = self._build_llm(ChatAnthropic=ChatAnthropic, ChatOpenAI=ChatOpenAI)
+        agent = Agent(
+            task=task,
+            llm=llm,
+            browser=browser,
+            use_vision=True,
+            enable_planning=False,
+            max_actions_per_step=3,
+            display_files_in_done_text=False,
+        )
+
+        try:
+            history = await agent.run(max_steps=max_steps)
+            final_result = history.final_result() or ""
+            extracted = history.extracted_content()
+            errors = [error for error in history.errors() if error]
+            urls = [url for url in history.urls() if url]
+            return {
+                "success": bool(history.is_successful()),
+                "final_result": final_result,
+                "extracted_content": extracted[-10:],
+                "errors": errors[-5:],
+                "urls": urls[-10:],
+                "steps": history.number_of_steps(),
+                "actions": history.action_names()[-20:],
+            }
+        finally:
+            await agent.close()
+
+    def _build_llm(self, ChatAnthropic: Any, ChatOpenAI: Any) -> Any:
+        if self.runtime.model_provider == "zai":
+            return ChatAnthropic(
+                model=self.runtime.zai_model,
+                api_key=self.api_key,
+                base_url=self.settings.zai_base_url,
+                timeout=180.0,
+            )
+
+        return ChatOpenAI(
+            model=self.runtime.local_model,
+            api_key="lm-studio",
+            base_url=f"{self.runtime.local_base_url.rstrip('/')}/v1",
+            timeout=180.0,
+        )
+
+    def _provider_readiness_error(self) -> str | None:
+        if self.runtime.model_provider == "zai" and not self.api_key.strip():
+            return "Z.AI API key is not configured."
+        if self.runtime.model_provider == "local" and not self.runtime.local_base_url.strip():
+            return "Local model base URL is not configured."
+        return None
+
+    def _compose_task(self, task: str, start_url: str) -> str:
+        instructions = [
+            "Work in a real browser on macOS.",
+            "If the task asks for list extraction, return concise structured text.",
+            "If a captcha or login wall blocks progress, stop immediately and say that user action is required.",
+            "Do not click third-party sign-in buttons such as Google, Apple, or GitHub OAuth buttons.",
+            "Do not open or interact with login popups or OAuth consent windows.",
+            "If authentication is required, leave the page open in the persistent browser and tell the user to complete login manually, then retry the task.",
+            "Do not submit irreversible forms or purchases unless the user explicitly asked for it.",
+        ]
+        if start_url:
+            instructions.append(f"Start at this URL first: {start_url}")
+        instructions.append(task)
+        return "\n".join(instructions)
+
+    def _normalize_domains(self, value: object) -> list[str]:
+        if not isinstance(value, list):
+            return []
+        return [str(item).strip() for item in value if str(item).strip()]
+
+    def _profile_root(self) -> Path:
+        profile_root = self.workspace_root / ".wiseclaw" / "browser-use-profile"
+        profile_root.mkdir(parents=True, exist_ok=True)
+        (profile_root / "WiseClaw").mkdir(parents=True, exist_ok=True)
+        return profile_root
+
+    async def _ensure_persistent_browser(self) -> str:
+        state = self._load_browser_state()
+        if state and self._pid_is_running(int(state.get("pid", 0))):
+            cdp_url = await self._fetch_cdp_url(int(state["port"]))
+            if cdp_url:
+                return cdp_url
+
+        await self._launch_persistent_browser()
+        cdp_url = await self._wait_for_cdp_url()
+        self._save_browser_state({"pid": self._read_pid_file(), "port": self.debug_port})
+        return cdp_url
+
+    async def _launch_persistent_browser(self) -> None:
+        executable = str(self.chromium_path if self.chromium_path.exists() else "Chromium")
+        profile_root = self._profile_root()
+        args = [
+            executable,
+            f"--remote-debugging-port={self.debug_port}",
+            f"--user-data-dir={profile_root}",
+            "--profile-directory=WiseClaw",
+            "--no-first-run",
+            "--no-default-browser-check",
+            "--start-maximized",
+            "about:blank",
+        ]
+        process = await asyncio.create_subprocess_exec(
+            *args,
+            stdout=asyncio.subprocess.DEVNULL,
+            stderr=asyncio.subprocess.DEVNULL,
+            start_new_session=True,
+        )
+        self._write_pid_file(process.pid)
+
+    async def _wait_for_cdp_url(self) -> str:
+        for _ in range(40):
+            cdp_url = await self._fetch_cdp_url(self.debug_port)
+            if cdp_url:
+                return cdp_url
+            await asyncio.sleep(0.5)
+        raise RuntimeError("Persistent Chromium browser did not expose a CDP endpoint in time.")
+
+    async def _fetch_cdp_url(self, port: int) -> str:
+        try:
+            async with httpx.AsyncClient(timeout=2.0) as client:
+                response = await client.get(f"http://127.0.0.1:{port}/json/version")
+                response.raise_for_status()
+        except httpx.HTTPError:
+            return ""
+        payload = response.json()
+        return str(payload.get("webSocketDebuggerUrl", ""))
+
+    def _browser_state_path(self) -> Path:
+        return self.workspace_root / ".wiseclaw" / "browser-use-browser.json"
+
+    def _browser_pid_path(self) -> Path:
+        return self.workspace_root / ".wiseclaw" / "browser-use-browser.pid"
+
+    def _load_browser_state(self) -> dict[str, int] | None:
+        path = self._browser_state_path()
+        if not path.exists():
+            return None
+        try:
+            return json.loads(path.read_text(encoding="utf-8"))
+        except json.JSONDecodeError:
+            return None
+
+    def _save_browser_state(self, payload: dict[str, int]) -> None:
+        path = self._browser_state_path()
+        path.parent.mkdir(parents=True, exist_ok=True)
+        path.write_text(json.dumps(payload), encoding="utf-8")
+
+    def _write_pid_file(self, pid: int) -> None:
+        path = self._browser_pid_path()
+        path.parent.mkdir(parents=True, exist_ok=True)
+        path.write_text(str(pid), encoding="utf-8")
+
+    def _read_pid_file(self) -> int:
+        path = self._browser_pid_path()
+        if not path.exists():
+            return 0
+        try:
+            return int(path.read_text(encoding="utf-8").strip())
+        except ValueError:
+            return 0
+
+    def _pid_is_running(self, pid: int) -> bool:
+        if pid <= 0:
+            return False
+        try:
+            os.kill(pid, 0)
+        except OSError:
+            return False
+        return True

backend/app/tools/files.py

@@ -6,16 +6,100 @@ from app.tools.base import Tool
 
 class FilesTool(Tool):
     name = "files"
-    description = "Read and write files within allowed paths."
+    description = "Read, list, and write files within the workspace."
+
+    def __init__(self, workspace_root: Path) -> None:
+        self.workspace_root = workspace_root.resolve()
+
+    def parameters_schema(self) -> dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "action": {
+                    "type": "string",
+                    "enum": ["read", "list", "write"],
+                    "description": "Use read to read a file, list to list a directory, or write to create/update a file.",
+                },
+                "path": {
+                    "type": "string",
+                    "description": "Absolute or relative path inside the workspace.",
+                },
+                "content": {
+                    "type": "string",
+                    "description": "File content for write operations.",
+                },
+            },
+            "required": ["action", "path"],
+            "additionalProperties": False,
+        }
 
     async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
         action = str(payload.get("action", "read")).strip()
-        path = Path(str(payload.get("path", "")).strip()).expanduser()
+        raw_path = str(payload.get("path", "")).strip()
+        path = self._resolve_path(raw_path)
+
+        if action == "read":
+            if not path.exists():
+                return {"tool": self.name, "status": "error", "message": f"Path not found: {path}"}
+            if path.is_dir():
+                return {"tool": self.name, "status": "error", "message": f"Path is a directory: {path}"}
+            content = path.read_text(encoding="utf-8", errors="replace")
             return {
                 "tool": self.name,
-            "status": "stub",
+                "status": "ok",
                 "action": action,
                 "path": str(path),
-            "message": "File integration is not wired yet.",
+                "content": content[:12000],
+                "truncated": len(content) > 12000,
             }
 
+        if action == "list":
+            if not path.exists():
+                return {"tool": self.name, "status": "error", "message": f"Path not found: {path}"}
+            if not path.is_dir():
+                return {"tool": self.name, "status": "error", "message": f"Path is not a directory: {path}"}
+            entries = []
+            for child in sorted(path.iterdir(), key=lambda item: item.name.lower())[:200]:
+                entries.append(
+                    {
+                        "name": child.name,
+                        "type": "dir" if child.is_dir() else "file",
+                    }
+                )
+            return {
+                "tool": self.name,
+                "status": "ok",
+                "action": action,
+                "path": str(path),
+                "entries": entries,
+                "truncated": len(entries) >= 200,
+            }
+
+        if action == "write":
+            content = str(payload.get("content", ""))
+            path.parent.mkdir(parents=True, exist_ok=True)
+            path.write_text(content, encoding="utf-8")
+            return {
+                "tool": self.name,
+                "status": "ok",
+                "action": action,
+                "path": str(path),
+                "bytes_written": len(content.encode("utf-8")),
+            }
+
+        return {
+            "tool": self.name,
+            "status": "error",
+            "message": f"Unsupported action: {action}. Allowed actions are read, list, and write.",
+        }
+
+    def _resolve_path(self, raw_path: str) -> Path:
+        candidate = Path(raw_path).expanduser()
+        if not candidate.is_absolute():
+            candidate = (self.workspace_root / candidate).resolve()
+        else:
+            candidate = candidate.resolve()
+
+        if self.workspace_root not in candidate.parents and candidate != self.workspace_root:
+            raise ValueError(f"Path is outside the workspace: {candidate}")
+        return candidate

backend/app/tools/registry.py

@@ -0,0 +1,47 @@
+from pathlib import Path
+
+from sqlalchemy.orm import Session
+
+from app.config import get_settings
+from app.db import SecretORM
+from app.models import RuntimeSettings
+from app.tools.apple_notes import AppleNotesTool
+from app.tools.browser_use import BrowserUseTool
+from app.tools.brave_search import BraveSearchTool
+from app.tools.files import FilesTool
+from app.tools.second_brain import SecondBrainTool
+from app.tools.terminal import TerminalTool
+from app.tools.web_fetch import WebFetchTool
+
+
+def build_tools(runtime: RuntimeSettings, workspace_root: Path, session: Session) -> dict[str, object]:
+    enabled = {tool.name for tool in runtime.tools if tool.enabled}
+    tools: dict[str, object] = {}
+    settings = get_settings()
+
+    if "files" in enabled:
+        tools["files"] = FilesTool(workspace_root)
+    if "apple_notes" in enabled:
+        tools["apple_notes"] = AppleNotesTool()
+    if "browser_use" in enabled:
+        secret = session.get(SecretORM, "zai_api_key")
+        api_key = secret.value if secret else settings.zai_api_key
+        tools["browser_use"] = BrowserUseTool(workspace_root, runtime, settings, api_key)
+    if "brave_search" in enabled and runtime.search_provider == "brave":
+        secret = session.get(SecretORM, "brave_api_key")
+        api_key = secret.value if secret else settings.brave_api_key
+        tools["brave_search"] = BraveSearchTool(api_key)
+    if "second_brain" in enabled:
+        secret = session.get(SecretORM, "anythingllm_api_key")
+        api_key = secret.value if secret else settings.anythingllm_api_key
+        tools["second_brain"] = SecondBrainTool(
+            base_url=runtime.anythingllm_base_url,
+            workspace_slug=runtime.anythingllm_workspace_slug,
+            api_key=api_key,
+        )
+    if "web_fetch" in enabled:
+        tools["web_fetch"] = WebFetchTool()
+    if "terminal" in enabled:
+        tools["terminal"] = TerminalTool(runtime.terminal_mode, workspace_root)
+
+    return tools

backend/app/tools/second_brain.py

@@ -0,0 +1,164 @@
+from typing import Any
+
+import httpx
+
+from app.tools.base import Tool
+
+
+class SecondBrainTool(Tool):
+    name = "second_brain"
+    description = "Search and retrieve context from the configured AnythingLLM workspace."
+
+    def __init__(self, base_url: str, workspace_slug: str, api_key: str) -> None:
+        self.base_url = base_url.rstrip("/")
+        self.workspace_slug = workspace_slug.strip().strip("/")
+        self.api_key = api_key.strip()
+
+    def parameters_schema(self) -> dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "query": {
+                    "type": "string",
+                    "description": "The user question to search in the second brain workspace.",
+                },
+                "mode": {
+                    "type": "string",
+                    "description": "Workspace chat mode. Prefer query for retrieval-focused lookups.",
+                    "enum": ["query", "chat"],
+                },
+            },
+            "required": ["query"],
+            "additionalProperties": False,
+        }
+
+    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+        query = str(payload.get("query", "")).strip()
+        mode = str(payload.get("mode", "query") or "query").strip().lower()
+        if mode not in {"query", "chat"}:
+            mode = "query"
+
+        if not query:
+            return {"tool": self.name, "status": "error", "message": "Query is required."}
+        if not self.base_url:
+            return {"tool": self.name, "status": "error", "message": "AnythingLLM base URL is not configured."}
+        if not self.workspace_slug:
+            return {"tool": self.name, "status": "error", "message": "AnythingLLM workspace slug is not configured."}
+        if not self.api_key:
+            return {"tool": self.name, "status": "error", "message": "AnythingLLM API key is not configured."}
+
+        endpoint = f"{self.base_url}/api/v1/workspace/{self.workspace_slug}/chat"
+        instructed_query = self._build_query_prompt(query, mode)
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json",
+        }
+        payload_candidates = [
+            {
+                "message": instructed_query,
+                "mode": mode,
+                "sessionId": None,
+                "attachments": [],
+            },
+            {
+                "message": instructed_query,
+                "mode": "chat",
+                "sessionId": None,
+                "attachments": [],
+            },
+            {
+                "message": instructed_query,
+                "mode": "chat",
+            },
+        ]
+        last_error = ""
+        response = None
+        try:
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                for request_payload in payload_candidates:
+                    response = await client.post(endpoint, headers=headers, json=request_payload)
+                    if response.is_success:
+                        break
+                    last_error = self._format_error(response)
+                    if response.status_code != 400:
+                        response.raise_for_status()
+                else:
+                    return {
+                        "tool": self.name,
+                        "status": "error",
+                        "query": query,
+                        "workspace_slug": self.workspace_slug,
+                        "message": last_error or "AnythingLLM request failed.",
+                    }
+        except httpx.HTTPError as exc:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "query": query,
+                "workspace_slug": self.workspace_slug,
+                "message": str(exc),
+            }
+
+        data = response.json() if response is not None else {}
+        text_response = self._extract_text_response(data)
+        sources = self._extract_sources(data)
+        return {
+            "tool": self.name,
+            "status": "ok",
+            "query": query,
+            "mode": mode,
+            "workspace_slug": self.workspace_slug,
+            "context": text_response,
+            "sources": sources,
+            "raw": data,
+        }
+
+    def _build_query_prompt(self, query: str, mode: str) -> str:
+        if mode == "query":
+            return (
+                "Only answer the exact question using the workspace context. "
+                "Do not add commentary, headings, bullets, extra notes, names, or related reminders. "
+                "If the answer contains a date and place, return only that information in one short sentence. "
+                "Question: "
+                f"{query}"
+            )
+        return query
+
+    def _format_error(self, response: httpx.Response) -> str:
+        try:
+            payload = response.json()
+        except ValueError:
+            return f"HTTP {response.status_code}"
+        if isinstance(payload, dict):
+            for key in ("error", "message"):
+                value = payload.get(key)
+                if isinstance(value, str) and value.strip():
+                    return value.strip()
+        return f"HTTP {response.status_code}"
+
+    def _extract_text_response(self, data: Any) -> str:
+        if isinstance(data, dict):
+            for key in ("textResponse", "response", "answer", "text", "message"):
+                value = data.get(key)
+                if isinstance(value, str) and value.strip():
+                    return value.strip()
+        return ""
+
+    def _extract_sources(self, data: Any) -> list[dict[str, str]]:
+        if not isinstance(data, dict):
+            return []
+        raw_sources = data.get("sources", [])
+        if not isinstance(raw_sources, list):
+            return []
+        sources: list[dict[str, str]] = []
+        for item in raw_sources[:6]:
+            if not isinstance(item, dict):
+                continue
+            sources.append(
+                {
+                    "title": str(item.get("title") or item.get("source") or item.get("url") or "").strip(),
+                    "url": str(item.get("url") or "").strip(),
+                    "snippet": str(item.get("text") or item.get("snippet") or item.get("description") or "").strip(),
+                }
+            )
+        return sources

backend/app/tools/terminal.py

@@ -1,3 +1,6 @@
+import asyncio
+import subprocess
+from pathlib import Path
 from typing import Any
 
 from app.security import evaluate_terminal_command
@@ -8,17 +11,115 @@ class TerminalTool(Tool):
     name = "terminal"
     description = "Run terminal commands under WiseClaw policy."
 
-    def __init__(self, terminal_mode: int) -> None:
+    def __init__(self, terminal_mode: int, workspace_root: Path) -> None:
         self.terminal_mode = terminal_mode
+        self.workspace_root = workspace_root.resolve()
+
+    def parameters_schema(self) -> dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "command": {
+                    "type": "string",
+                    "description": "A single shell command. Only safe approved prefixes run automatically.",
+                },
+                "background": {
+                    "type": "boolean",
+                    "description": "Run the command in the background for long-lived local servers.",
+                },
+                "workdir": {
+                    "type": "string",
+                    "description": "Optional relative workspace directory for the command.",
+                },
+            },
+            "required": ["command"],
+            "additionalProperties": False,
+        }
 
     async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
         command = str(payload.get("command", "")).strip()
+        background = bool(payload.get("background", False))
+        workdir = self._resolve_workdir(str(payload.get("workdir", "")).strip()) if payload.get("workdir") else self.workspace_root
         decision = evaluate_terminal_command(command, self.terminal_mode)
+        if decision.decision != "allow":
             return {
                 "tool": self.name,
-            "status": "stub",
+                "status": "approval_required" if decision.decision == "approval" else "blocked",
                 "command": command,
                 "decision": decision.decision,
                 "reason": decision.reason,
             }
 
+        if background:
+            return self._run_background(command, decision.reason, workdir)
+
+        try:
+            process = await asyncio.create_subprocess_shell(
+                command,
+                cwd=str(workdir),
+                stdout=asyncio.subprocess.PIPE,
+                stderr=asyncio.subprocess.PIPE,
+            )
+            stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=15.0)
+        except TimeoutError:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "command": command,
+                "decision": decision.decision,
+                "reason": "Command timed out after 15 seconds.",
+            }
+
+        stdout_text = stdout.decode("utf-8", errors="replace")
+        stderr_text = stderr.decode("utf-8", errors="replace")
+        return {
+            "tool": self.name,
+            "status": "ok" if process.returncode == 0 else "error",
+            "command": command,
+            "decision": decision.decision,
+            "reason": decision.reason,
+            "workdir": str(workdir),
+            "exit_code": process.returncode,
+            "stdout": stdout_text[:12000],
+            "stderr": stderr_text[:12000],
+            "stdout_truncated": len(stdout_text) > 12000,
+            "stderr_truncated": len(stderr_text) > 12000,
+        }
+
+    def _run_background(self, command: str, reason: str, workdir: Path) -> dict[str, Any]:
+        logs_dir = self.workspace_root / ".wiseclaw" / "logs"
+        logs_dir.mkdir(parents=True, exist_ok=True)
+        log_path = logs_dir / f"terminal-{abs(hash((command, str(workdir))))}.log"
+        log_handle = log_path.open("ab")
+        process = subprocess.Popen(
+            command,
+            cwd=str(workdir),
+            shell=True,
+            stdout=log_handle,
+            stderr=subprocess.STDOUT,
+            start_new_session=True,
+        )
+        log_handle.close()
+        return {
+            "tool": self.name,
+            "status": "ok",
+            "command": command,
+            "decision": "allow",
+            "reason": reason,
+            "workdir": str(workdir),
+            "background": True,
+            "pid": process.pid,
+            "log_path": str(log_path),
+        }
+
+    def _resolve_workdir(self, raw_path: str) -> Path:
+        candidate = Path(raw_path).expanduser()
+        if not candidate.is_absolute():
+            candidate = (self.workspace_root / candidate).resolve()
+        else:
+            candidate = candidate.resolve()
+        if self.workspace_root not in candidate.parents and candidate != self.workspace_root:
+            raise ValueError(f"Workdir is outside the workspace: {candidate}")
+        if not candidate.exists() or not candidate.is_dir():
+            raise ValueError(f"Workdir is not a directory: {candidate}")
+        return candidate

backend/app/tools/web_fetch.py

@@ -1,5 +1,8 @@
+import re
 from typing import Any
 
+import httpx
+
 from app.tools.base import Tool
 
 
@@ -7,12 +10,56 @@ class WebFetchTool(Tool):
     name = "web_fetch"
     description = "Fetch a webpage and return simplified content."
 
-    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+    def parameters_schema(self) -> dict[str, Any]:
-        url = str(payload.get("url", "")).strip()
         return {
-            "tool": self.name,
+            "type": "object",
-            "status": "stub",
+            "properties": {
-            "url": url,
+                "url": {
-            "message": "Web fetch integration is not wired yet.",
+                    "type": "string",
+                    "description": "The http or https URL to fetch.",
+                }
+            },
+            "required": ["url"],
+            "additionalProperties": False,
         }
 
+    async def run(self, payload: dict[str, Any]) -> dict[str, Any]:
+        url = str(payload.get("url", "")).strip()
+        if not url.startswith(("http://", "https://")):
+            return {
+                "tool": self.name,
+                "status": "error",
+                "url": url,
+                "message": "Only http and https URLs are allowed.",
+            }
+
+        try:
+            async with httpx.AsyncClient(timeout=15.0, follow_redirects=True) as client:
+                response = await client.get(url)
+                response.raise_for_status()
+        except httpx.HTTPError as exc:
+            return {
+                "tool": self.name,
+                "status": "error",
+                "url": url,
+                "message": str(exc),
+            }
+
+        text = self._simplify_content(response.text)
+        return {
+            "tool": self.name,
+            "status": "ok",
+            "url": url,
+            "content_type": response.headers.get("content-type", ""),
+            "content": text[:12000],
+            "truncated": len(text) > 12000,
+        }
+
+    def _simplify_content(self, content: str) -> str:
+        text = re.sub(r"(?is)<script.*?>.*?</script>", " ", content)
+        text = re.sub(r"(?is)<style.*?>.*?</style>", " ", text)
+        text = re.sub(r"(?s)<[^>]+>", " ", text)
+        text = re.sub(r"&nbsp;", " ", text)
+        text = re.sub(r"&amp;", "&", text)
+        text = re.sub(r"\s+", " ", text)
+        return text.strip()

backend/pyproject.toml

@@ -15,8 +15,9 @@ dependencies = [
   "sqlalchemy>=2.0.39,<3.0.0",
   "httpx>=0.28.0,<1.0.0",
   "python-telegram-bot>=22.0,<23.0",
+  "browser-use>=0.12.2,<1.0.0",
+  "anthropic>=0.76.0,<1.0.0",
 ]
 
 [tool.setuptools.packages.find]
 where = ["."]
-

docs/architecture.md

@@ -5,7 +5,7 @@
 WiseClaw uses a single FastAPI process with modular tool adapters:
 
 - `telegram`: inbound/outbound bot handling and whitelist checks
-- `llm`: Ollama client and simple tool-routing planner
+- `llm`: LM Studio/OpenAI-compatible client and simple tool-routing planner
 - `tools`: search, notes, files, terminal, and fetch tools
 - `memory`: SQLite-backed short-term and long-term state
 - `admin`: REST API for settings, logs, users, and health
@@ -24,7 +24,6 @@ WiseClaw uses a single FastAPI process with modular tool adapters:
 1. Add SQLAlchemy models and Alembic migrations.
 2. Replace placeholder services with real SQLite persistence.
 3. Wire Telegram webhook or polling loop.
-4. Add Ollama-driven tool calling.
+4. Add LM Studio-driven tool calling.
 5. Persist secrets in macOS Keychain.
 6. Build audit views and approval flows in the admin panel.
-

docs/brainstorms/2026-03-21-model-provider-switch-brainstorm.md

@@ -0,0 +1,83 @@
+---
+date: 2026-03-21
+topic: model-provider-switch
+---
+
+# Model Provider Switch
+
+## What We're Building
+WiseClaw admin paneline global bir model sağlayıcı seçimi ekliyoruz. Yönetici ister mevcut yerel LM Studio akışını aktif edecek, ister z.ai sağlayıcısına geçip API key ile `glm-4.7` veya `glm-5` modellerini kullanacak.
+
+Bu seçim tüm yeni istekler için ortak runtime ayarı olacak. Yani Telegram, admin testleri ve backend orkestrasyonu seçili sağlayıcıya göre aynı LLM istemcisini kullanacak.
+
+## Why This Approach
+En sade ve güvenli çözüm global provider seçimi. Per-user ya da per-chat seçim şu aşamada gereksiz karmaşıklık getirir; secret yönetimi, UI, audit ve hata ayıklama zorlaşır.
+
+z.ai tarafı OpenAI-uyumlu API sunduğu için mevcut istemci mimarisi çok büyük kırılım olmadan genişletilebilir. Bu da LM Studio ile z.ai arasında ortak bir soyutlama kurmayı mantıklı hale getiriyor.
+
+## Approaches Considered
+### Approach A: Tek Global Provider Ayarı
+Admin panelde provider seçilir, sadece ilgili alanlar görünür, backend seçili provider'a göre çağrı yapar.
+
+Pros:
+- En basit kullanıcı deneyimi
+- Backend davranışı öngörülebilir
+- Secret ve runtime yönetimi kolay
+
+Cons:
+- Aynı anda iki farklı provider kullanılamaz
+- Deneysel karşılaştırmalar için manuel geçiş gerekir
+
+Best when: Ürün tek bir aktif model hattı ile çalışacaksa
+
+### Approach B: Global Provider + Manual Override Alanı
+Global seçim korunur ama bazı akışlarda provider/model override edilebilir.
+
+Pros:
+- Daha esnek
+- Test ve karşılaştırma kolaylaşır
+
+Cons:
+- UI ve backend karmaşıklığı artar
+- Hangi isteğin hangi modelle çalıştığı daha az net olur
+
+Best when: Kısa vadede A/B model denemesi yapılacaksa
+
+### Approach C: Ayrı Provider Sekmeleri ve Bağımsız Konfigürasyonlar
+Hem local hem z.ai ayarları hep görünür, ama aktif flag ayrı tutulur.
+
+Pros:
+- Tüm ayarlar tek ekranda görünür
+- Geçişler hızlı olur
+
+Cons:
+- UI kalabalıklaşır
+- İlk sürüm için gereğinden fazla yapı
+
+Best when: Sık sağlayıcı değişimi bekleniyorsa
+
+## Recommendation
+Approach A.
+
+İlk sürüm için en doğru yol bu. Admin panelde:
+- `Model Provider`: `local` / `zai`
+- `local` seçiliyken: base URL + local model
+- `zai` seçiliyken: API key + model dropdown (`glm-4.7`, `glm-5`)
+
+Backend tarafında ortak bir LLM gateway oluşturulmalı. Seçili provider'a göre:
+- Local: mevcut LM Studio/OpenAI-compatible endpoint
+- Z.AI: z.ai OpenAI-compatible endpoint + bearer/api key
+
+## Key Decisions
+- Provider seçimi global olacak: sistem davranışı tek bir aktif modele bağlı kalacak.
+- z.ai API key secret olarak saklanacak: normal runtime settings içine düz yazı olarak girmeyecek.
+- z.ai model listesi ilk aşamada sabit olacak: `glm-4.7` ve `glm-5`.
+- UI conditional olacak: sadece seçili provider'ın alanları gösterilecek.
+- Backend provider-aware olacak: mevcut `ollama_base_url/default_model` yaklaşımı daha genel `provider/base_url/model` yapısına genişletilecek.
+
+## Open Questions
+- z.ai için sabit bir base URL kullanıp UI'da göstermeyelim mi, yoksa readonly/default bir alan olarak mı gösterelim?
+- `glm-4.7` ve `glm-5` dışında gelecekte serbest model adı girişi de desteklenecek mi?
+
+## Next Steps
+- `/workflows:plan` seviyesinde implementasyon planına geç

docs/brainstorms/2026-03-22-telegram-onboarding-brainstorm.md

@@ -0,0 +1,33 @@
+---
+date: 2026-03-22
+topic: telegram-onboarding
+---
+
+# Telegram Onboarding
+
+## What We're Building
+WiseClaw'a Telegram üzerinden `/tanışalım` komutu ile başlayan, 12 soruluk kalıcı bir onboarding sohbeti ekliyoruz. Bu akış kullanıcının adı, kullanım amacı, ton tercihi, dil tercihi, yanıt uzunluğu, çalışma biçimi ve sınırları gibi bilgileri toplar.
+
+Toplanan veriler geçici hafızada değil, SQLite içinde yapılandırılmış bir kullanıcı profili olarak saklanır. Böylece sunucu yeniden başlasa bile WiseClaw aynı kullanıcıyla aynı üslupta konuşmaya devam eder.
+
+## Why This Approach
+Alternatif olarak cevapları yalnızca genel memory tablosuna yazmak mümkündü, ancak bu yaklaşım dağınık, kırılgan ve güncellemesi zor olurdu. Ayrı profil + onboarding state modeli daha güvenilir, sorgulanabilir ve kişiselleştirme için daha uygundur.
+
+## Key Decisions
+- `/tanışalım` Telegram komutu olacak: onboarding yalnızca istek üzerine veya ilk temas senaryosunda başlatılacak.
+- 12 soru tek tek sorulacak: uzun form yerine sohbet hissi korunacak.
+- Her cevap anında kaydedilecek: yarıda kalırsa kaldığı yerden devam edilebilecek.
+- Veriler ayrı kullanıcı profili tablosunda tutulacak: kalıcı kişiselleştirme için.
+- Prompt'a structured profile enjekte edilecek: ton, dil, uzunluk ve çalışma tercihi her cevapta uygulanacak.
+- Kısa profil özeti ayrıca memory'ye yazılabilecek: ama asıl kaynak structured profile olacak.
+
+## Open Questions
+- İlk mesajda onboarding otomatik mi tetiklensin, yoksa sadece `/tanışalım` ile mi başlasın?
+- Admin panelde profil düzenleme ilk sürüme dahil edilsin mi, yoksa yalnızca Telegram komutları yeterli mi?
+
+## Next Steps
+- Veri modelini ve onboarding state yapısını ekle
+- Telegram command akışını oluştur
+- Orchestrator içine onboarding interception ekle
+- Prompt kişiselleştirme katmanını bağla
+- `/profilim`, `/tercihlerim`, `/tanışalım_sifirla` yardımcı komutlarını ekle

frontend/src/App.tsx

@@ -2,21 +2,29 @@ import { FormEvent, useEffect, useState } from "react";
 
 import { api } from "./api";
 import type {
+  AutomationRecord,
   DashboardSnapshot,
   MemoryRecord,
   OllamaStatus,
   RuntimeSettings,
   TelegramStatus,
+  UserProfileRecord,
   UserRecord,
 } from "./types";
 
 const defaultSettings: RuntimeSettings = {
   terminal_mode: 3,
   search_provider: "brave",
-  ollama_base_url: "http://127.0.0.1:11434",
+  model_provider: "local",
-  default_model: "qwen3.5:4b",
+  local_base_url: "http://127.0.0.1:1234",
+  local_model: "qwen3-vl-8b-instruct-mlx@5bit",
+  zai_model: "glm-5",
+  anythingllm_base_url: "http://127.0.0.1:3001",
+  anythingllm_workspace_slug: "wiseclaw",
   tools: [
     { name: "brave_search", enabled: true },
+    { name: "second_brain", enabled: true },
+    { name: "browser_use", enabled: true },
     { name: "searxng_search", enabled: false },
     { name: "web_fetch", enabled: true },
     { name: "apple_notes", enabled: true },
@@ -29,12 +37,25 @@ export function App() {
   const [dashboard, setDashboard] = useState<DashboardSnapshot | null>(null);
   const [settings, setSettings] = useState<RuntimeSettings>(defaultSettings);
   const [users, setUsers] = useState<UserRecord[]>([]);
+  const [profiles, setProfiles] = useState<UserProfileRecord[]>([]);
+  const [automations, setAutomations] = useState<AutomationRecord[]>([]);
   const [memory, setMemory] = useState<MemoryRecord[]>([]);
   const [secretMask, setSecretMask] = useState("");
   const [secretValue, setSecretValue] = useState("");
+  const [zaiSecretMask, setZaiSecretMask] = useState("");
+  const [zaiSecretValue, setZaiSecretValue] = useState("");
+  const [anythingSecretMask, setAnythingSecretMask] = useState("");
+  const [anythingSecretValue, setAnythingSecretValue] = useState("");
   const [ollamaStatus, setOllamaStatus] = useState<OllamaStatus | null>(null);
   const [telegramStatus, setTelegramStatus] = useState<TelegramStatus | null>(null);
   const [status, setStatus] = useState("Loading WiseClaw admin...");
+  const providerLabel = settings.model_provider === "local" ? "Local (LM Studio)" : "Z.AI";
+  const searchProviderLabel = settings.search_provider === "brave" ? "Brave" : "SearXNG";
+  const llmStatusLabel = settings.model_provider === "local" ? "LM Studio status" : "Z.AI status";
+  const llmStatusHint =
+    settings.model_provider === "local"
+      ? "Checking local model endpoint..."
+      : "Checking remote Z.AI endpoint...";
 
   useEffect(() => {
     void load();
@@ -42,21 +63,29 @@ export function App() {
 
   async function load() {
     try {
-      const [dashboardData, settingsData, userData, memoryData, secretData, ollamaData, telegramData] =
+      const [dashboardData, settingsData, userData, profileData, automationData, memoryData, secretData, zaiSecretData, anythingSecretData, ollamaData, telegramData] =
         await Promise.all([
         api.getDashboard(),
         api.getSettings(),
         api.getUsers(),
+        api.getProfiles(),
+        api.getAutomations(),
         api.getMemory(),
         api.getSecretMask("brave_api_key"),
+        api.getSecretMask("zai_api_key"),
+        api.getSecretMask("anythingllm_api_key"),
         api.getOllamaStatus(),
         api.getTelegramStatus(),
       ]);
       setDashboard(dashboardData);
       setSettings(settingsData);
       setUsers(userData);
+      setProfiles(profileData);
+      setAutomations(automationData);
       setMemory(memoryData);
       setSecretMask(secretData.masked);
+      setZaiSecretMask(zaiSecretData.masked);
+      setAnythingSecretMask(anythingSecretData.masked);
       setOllamaStatus(ollamaData);
       setTelegramStatus(telegramData);
       setStatus("WiseClaw admin ready.");
@@ -84,6 +113,28 @@ export function App() {
     await load();
   }
 
+  async function handleZaiSecretSubmit(event: FormEvent) {
+    event.preventDefault();
+    if (!zaiSecretValue.trim()) {
+      return;
+    }
+    await api.saveSecret("zai_api_key", zaiSecretValue.trim());
+    setZaiSecretValue("");
+    setStatus("Z.AI API key updated.");
+    await load();
+  }
+
+  async function handleAnythingSecretSubmit(event: FormEvent) {
+    event.preventDefault();
+    if (!anythingSecretValue.trim()) {
+      return;
+    }
+    await api.saveSecret("anythingllm_api_key", anythingSecretValue.trim());
+    setAnythingSecretValue("");
+    setStatus("AnythingLLM API key updated.");
+    await load();
+  }
+
   async function handleAddUser(event: FormEvent<HTMLFormElement>) {
     event.preventDefault();
     const form = new FormData(event.currentTarget);
@@ -133,7 +184,7 @@ export function App() {
           </div>
           <div>
             <span>Model</span>
-            <strong>{settings.default_model}</strong>
+            <strong>{settings.model_provider === "local" ? settings.local_model : settings.zai_model}</strong>
           </div>
         </div>
       </aside>
@@ -151,21 +202,21 @@ export function App() {
             </div>
             <div>
               <span>Search provider</span>
-              <strong>{settings.search_provider}</strong>
+              <strong>{searchProviderLabel}</strong>
             </div>
             <div>
-              <span>Ollama</span>
+              <span>Provider</span>
-              <strong>{settings.ollama_base_url}</strong>
+              <strong>{providerLabel}</strong>
             </div>
           </div>
           <div className="integration-grid">
             <div className="integration-card">
-              <span>Ollama status</span>
+              <span>{llmStatusLabel}:</span>
               <strong>{ollamaStatus?.reachable ? "Reachable" : "Offline"}</strong>
-              <p>{ollamaStatus?.message || "Checking..."}</p>
+              <p>{ollamaStatus?.message || llmStatusHint}</p>
             </div>
             <div className="integration-card">
-              <span>Telegram status</span>
+              <span>Telegram status:</span>
               <strong>{telegramStatus?.configured ? "Configured" : "Missing token"}</strong>
               <p>{telegramStatus?.message || "Checking..."}</p>
             </div>
@@ -196,6 +247,22 @@ export function App() {
               </select>
             </label>
 
+            <label>
+              Model provider
+              <select
+                value={settings.model_provider}
+                onChange={(event) =>
+                  setSettings({
+                    ...settings,
+                    model_provider: event.target.value as "local" | "zai",
+                  })
+                }
+              >
+                <option value="local">Local (LM Studio)</option>
+                <option value="zai">Z.AI</option>
+              </select>
+            </label>
+
             <label>
               Search provider
               <select
@@ -213,21 +280,59 @@ export function App() {
             </label>
 
             <label>
-              Ollama base URL
+              AnythingLLM base URL
               <input
-                value={settings.ollama_base_url}
+                value={settings.anythingllm_base_url}
-                onChange={(event) => setSettings({ ...settings, ollama_base_url: event.target.value })}
+                onChange={(event) => setSettings({ ...settings, anythingllm_base_url: event.target.value })}
+                placeholder="http://127.0.0.1:3001"
               />
             </label>
 
             <label>
-              Default model
+              AnythingLLM workspace slug
               <input
-                value={settings.default_model}
+                value={settings.anythingllm_workspace_slug}
-                onChange={(event) => setSettings({ ...settings, default_model: event.target.value })}
+                onChange={(event) => setSettings({ ...settings, anythingllm_workspace_slug: event.target.value })}
+                placeholder="wiseclaw"
               />
             </label>
 
+            {settings.model_provider === "local" ? (
+              <>
+                <label>
+                  LM Studio base URL
+                  <input
+                    value={settings.local_base_url}
+                    onChange={(event) => setSettings({ ...settings, local_base_url: event.target.value })}
+                  />
+                </label>
+
+                <label>
+                  Local model
+                  <input
+                    value={settings.local_model}
+                    onChange={(event) => setSettings({ ...settings, local_model: event.target.value })}
+                  />
+                </label>
+              </>
+            ) : (
+              <>
+                <p className="muted">Z.AI uses the fixed hosted API endpoint and the API key saved below.</p>
+                <label>
+                  Z.AI model
+                  <select
+                    value={settings.zai_model}
+                    onChange={(event) =>
+                      setSettings({ ...settings, zai_model: event.target.value as "glm-4.7" | "glm-5" })
+                    }
+                  >
+                    <option value="glm-4.7">glm-4.7</option>
+                    <option value="glm-5">glm-5</option>
+                  </select>
+                </label>
+              </>
+            )}
+
             <div className="tool-list">
               {settings.tools.map((tool) => (
                 <label key={tool.name} className="checkbox-row">
@@ -250,7 +355,7 @@ export function App() {
           </form>
 
           <div className="stack">
-            <form className="panel" onSubmit={handleSecretSubmit}>
+            <form className="panel secret-panel" onSubmit={handleSecretSubmit}>
               <div className="panel-head">
                 <h3>Secrets</h3>
                 <button type="submit">Update</button>
@@ -267,6 +372,40 @@ export function App() {
               </label>
             </form>
 
+            <form className="panel secret-panel" onSubmit={handleZaiSecretSubmit}>
+              <div className="panel-head">
+                <h3>Z.AI Secret</h3>
+                <button type="submit">Update</button>
+              </div>
+              <p className="muted">Current Z.AI key: {zaiSecretMask || "not configured"}</p>
+              <label>
+                Z.AI API key
+                <input
+                  type="password"
+                  value={zaiSecretValue}
+                  onChange={(event) => setZaiSecretValue(event.target.value)}
+                  placeholder="Paste a new key"
+                />
+              </label>
+            </form>
+
+            <form className="panel secret-panel" onSubmit={handleAnythingSecretSubmit}>
+              <div className="panel-head">
+                <h3>AnythingLLM Secret</h3>
+                <button type="submit">Update</button>
+              </div>
+              <p className="muted">Current AnythingLLM key: {anythingSecretMask || "not configured"}</p>
+              <label>
+                AnythingLLM API key
+                <input
+                  type="password"
+                  value={anythingSecretValue}
+                  onChange={(event) => setAnythingSecretValue(event.target.value)}
+                  placeholder="Paste a new key"
+                />
+              </label>
+            </form>
+
             <form className="panel" onSubmit={handleAddUser}>
               <div className="panel-head">
                 <h3>Telegram Whitelist</h3>
@@ -297,6 +436,75 @@ export function App() {
           </div>
         </section>
 
+        <section className="grid two-up">
+          <div className="panel compact-fixed-panel">
+            <div className="panel-head">
+              <h3>User Profiles</h3>
+            </div>
+            <div className="list compact-scroll-list">
+              {profiles.length === 0 ? <span className="muted">No onboarding profiles yet.</span> : null}
+              {profiles.map((profile) => (
+                <div key={profile.telegram_user_id} className="list-row">
+                  <strong>
+                    {profile.display_name || `User ${profile.telegram_user_id}`} ·{" "}
+                    {profile.onboarding_completed
+                      ? "Onboarding complete"
+                      : `Step ${profile.last_onboarding_step + 1}/12`}
+                  </strong>
+                  <div>Telegram ID: {profile.telegram_user_id}</div>
+                  <div>Ton: {profile.tone_preference || "belirtilmedi"}</div>
+                  <div>Dil: {profile.language_preference || "belirtilmedi"}</div>
+                  <div>Cevap uzunluğu: {profile.response_length || "belirtilmedi"}</div>
+                  <div>Çalışma biçimi: {profile.workflow_preference || "belirtilmedi"}</div>
+                  <div>
+                    Kullanım amacı: {profile.primary_use_cases.length ? profile.primary_use_cases.join(", ") : "belirtilmedi"}
+                  </div>
+                  <div>
+                    Öncelikler: {profile.answer_priorities.length ? profile.answer_priorities.join(", ") : "belirtilmedi"}
+                  </div>
+                  <div>
+                    İlgi alanları: {profile.interests.length ? profile.interests.join(", ") : "belirtilmedi"}
+                  </div>
+                  <div>
+                    Onay beklentileri:{" "}
+                    {profile.approval_preferences.length ? profile.approval_preferences.join(", ") : "belirtilmedi"}
+                  </div>
+                  <div>Kaçınılacaklar: {profile.avoid_preferences || "belirtilmedi"}</div>
+                </div>
+              ))}
+            </div>
+          </div>
+
+          <div className="panel compact-fixed-panel">
+            <div className="panel-head">
+              <h3>Automations</h3>
+            </div>
+            <div className="list compact-scroll-list">
+              {automations.length === 0 ? <span className="muted">No automations yet.</span> : null}
+              {automations.map((automation) => (
+                <div key={automation.id} className="list-row automation-row">
+                  <strong>
+                    #{automation.id} {automation.name} · {automation.status}
+                  </strong>
+                  <div>Telegram ID: {automation.telegram_user_id}</div>
+                  <div>Prompt: {automation.prompt}</div>
+                  <div>
+                    Schedule:{" "}
+                    {automation.schedule_type === "hourly"
+                      ? `every ${automation.interval_hours || 1} hour(s)`
+                      : automation.schedule_type}
+                  </div>
+                  {automation.time_of_day ? <div>Time: {automation.time_of_day}</div> : null}
+                  {automation.days_of_week.length ? <div>Days: {automation.days_of_week.join(", ")}</div> : null}
+                  <div>Next run: {automation.next_run_at || "not scheduled"}</div>
+                  <div>Last run: {automation.last_run_at || "never"}</div>
+                  <div>Last result: {automation.last_result || "no result yet"}</div>
+                </div>
+              ))}
+            </div>
+          </div>
+        </section>
+
         <section className="grid two-up">
           <div className="panel">
             <div className="panel-head">
@@ -305,7 +513,7 @@ export function App() {
                 Clear
               </button>
             </div>
-            <div className="list">
+            <div className="list scroll-list">
               {memory.length === 0 ? <span className="muted">No memory yet.</span> : null}
               {memory.map((item, index) => (
                 <div key={`${item.id}-${index}`} className="list-row">
@@ -320,7 +528,7 @@ export function App() {
             <div className="panel-head">
               <h3>Recent Logs</h3>
             </div>
-            <div className="list">
+            <div className="list scroll-list">
               {(dashboard?.recent_logs || []).length === 0 ? (
                 <span className="muted">No recent logs.</span>
               ) : null}

frontend/src/api.ts

@@ -1,13 +1,15 @@
 import type {
+  AutomationRecord,
   DashboardSnapshot,
   MemoryRecord,
   OllamaStatus,
   RuntimeSettings,
   TelegramStatus,
+  UserProfileRecord,
   UserRecord,
 } from "./types";
 
-const API_BASE = "http://127.0.0.1:8000";
+const API_BASE = `${window.location.protocol}//${window.location.hostname}:8000`;
 
 async function request<T>(path: string, init?: RequestInit): Promise<T> {
   const response = await fetch(`${API_BASE}${path}`, {
@@ -33,6 +35,8 @@ export const api = {
       body: JSON.stringify(payload),
     }),
   getUsers: () => request<UserRecord[]>("/admin/users"),
+  getProfiles: () => request<UserProfileRecord[]>("/admin/profiles"),
+  getAutomations: () => request<AutomationRecord[]>("/admin/automations"),
   addUser: (payload: UserRecord) =>
     request<UserRecord>("/admin/users", {
       method: "POST",
@@ -49,6 +53,6 @@ export const api = {
       method: "POST",
       body: JSON.stringify({ key, value }),
     }),
-  getOllamaStatus: () => request<OllamaStatus>("/admin/integrations/ollama"),
+  getOllamaStatus: () => request<OllamaStatus>("/admin/integrations/llm"),
   getTelegramStatus: () => request<TelegramStatus>("/admin/integrations/telegram"),
 };

frontend/src/styles.css

@@ -120,6 +120,7 @@ label {
   padding: 2rem;
   display: grid;
   gap: 1.4rem;
+  min-width: 0;
 }
 
 .panel {
@@ -129,6 +130,22 @@ label {
   padding: 1.2rem;
   backdrop-filter: blur(10px);
   box-shadow: 0 20px 60px rgba(72, 64, 39, 0.08);
+  min-width: 0;
+  overflow: hidden;
+}
+
+.fixed-log-panel {
+  display: grid;
+  grid-template-rows: auto minmax(0, 1fr);
+  height: calc(80 * 1.4em + 5.5rem);
+  align-self: start;
+}
+
+.compact-fixed-panel {
+  display: grid;
+  grid-template-rows: auto minmax(0, 1fr);
+  height: 600px;
+  align-self: start;
 }
 
 .hero {
@@ -161,6 +178,15 @@ label {
   border: 1px solid rgba(31, 92, 102, 0.12);
 }
 
+.integration-card span,
+.integration-card strong {
+  display: inline;
+}
+
+.integration-card strong {
+  margin-left: 0.3rem;
+}
+
 .integration-card p {
   margin-bottom: 0;
   color: #4f5b57;
@@ -170,11 +196,36 @@ label {
   display: grid;
   grid-template-columns: repeat(2, minmax(0, 1fr));
   gap: 1.4rem;
+  min-width: 0;
+  align-items: start;
 }
 
 .stack {
   display: grid;
   gap: 1.4rem;
+  min-width: 0;
+}
+
+.secret-panel {
+  padding-top: 0.64rem;
+  padding-bottom: 0.64rem;
+}
+
+.secret-panel .panel-head {
+  margin-bottom: 0.24rem;
+}
+
+.secret-panel label {
+  gap: 0.2rem;
+}
+
+.secret-panel .muted {
+  margin-bottom: 0.1rem;
+}
+
+.secret-panel form,
+.secret-panel {
+  gap: 0.36rem;
 }
 
 .panel-head {
@@ -190,6 +241,7 @@ label {
 form {
   display: grid;
   gap: 0.9rem;
+  min-width: 0;
 }
 
 .checkbox-row {
@@ -216,11 +268,103 @@ form {
 }
 
 .list-row {
-  padding: 0.8rem 0.9rem;
+  padding: 0.65rem 0.75rem;
   border-radius: 18px;
   background: rgba(31, 36, 33, 0.05);
   font-family: "IBM Plex Mono", "SF Mono", monospace;
-  font-size: 0.9rem;
+  font-size: 0.84rem;
+  line-height: 1.28;
+  min-width: 0;
+  max-width: 100%;
+  overflow-wrap: anywhere;
+  word-break: break-word;
+  white-space: pre-wrap;
+}
+
+.list {
+  min-width: 0;
+}
+
+.list .list-row strong {
+  display: block;
+  margin-bottom: 0.18rem;
+}
+
+.automation-row {
+  height: 250px;
+  overflow-y: auto;
+  align-content: start;
+  scrollbar-width: thin;
+  scrollbar-color: rgba(31, 92, 102, 0.72) rgba(233, 196, 106, 0.2);
+}
+
+.scroll-list {
+  height: calc(80 * 1.4em);
+  max-height: calc(80 * 1.4em);
+  overflow-y: auto;
+  overflow-x: hidden;
+  align-content: start;
+  padding-right: 0.35rem;
+  scrollbar-width: thin;
+  scrollbar-color: rgba(31, 92, 102, 0.72) rgba(233, 196, 106, 0.2);
+}
+
+.compact-scroll-list {
+  min-height: 0;
+  overflow-y: auto;
+  overflow-x: hidden;
+  padding-right: 0.35rem;
+  scrollbar-width: thin;
+  scrollbar-color: rgba(31, 92, 102, 0.72) rgba(233, 196, 106, 0.2);
+}
+
+.scroll-list::-webkit-scrollbar {
+  width: 12px;
+}
+
+.compact-scroll-list::-webkit-scrollbar {
+  width: 12px;
+}
+
+.scroll-list::-webkit-scrollbar-track {
+  background: rgba(233, 196, 106, 0.18);
+  border-radius: 999px;
+}
+
+.compact-scroll-list::-webkit-scrollbar-track {
+  background: rgba(233, 196, 106, 0.18);
+  border-radius: 999px;
+}
+
+.scroll-list::-webkit-scrollbar-thumb {
+  background: linear-gradient(180deg, rgba(31, 122, 140, 0.88), rgba(31, 92, 102, 0.72));
+  border-radius: 999px;
+  border: 2px solid rgba(255, 250, 242, 0.9);
+}
+
+.compact-scroll-list::-webkit-scrollbar-thumb {
+  background: linear-gradient(180deg, rgba(31, 122, 140, 0.88), rgba(31, 92, 102, 0.72));
+  border-radius: 999px;
+  border: 2px solid rgba(255, 250, 242, 0.9);
+}
+
+.automation-row::-webkit-scrollbar {
+  width: 10px;
+}
+
+.automation-row::-webkit-scrollbar-track {
+  background: rgba(233, 196, 106, 0.18);
+  border-radius: 999px;
+}
+
+.automation-row::-webkit-scrollbar-thumb {
+  background: linear-gradient(180deg, rgba(31, 122, 140, 0.88), rgba(31, 92, 102, 0.72));
+  border-radius: 999px;
+  border: 2px solid rgba(255, 250, 242, 0.9);
+}
+
+.scroll-list::-webkit-scrollbar-thumb:hover {
+  background: linear-gradient(180deg, rgba(31, 122, 140, 1), rgba(31, 92, 102, 0.88));
 }
 
 @media (max-width: 960px) {

frontend/src/types.ts

@@ -6,8 +6,12 @@ export type ToolToggle = {
 export type RuntimeSettings = {
   terminal_mode: 1 | 2 | 3;
   search_provider: "brave" | "searxng";
-  ollama_base_url: string;
+  model_provider: "local" | "zai";
-  default_model: string;
+  local_base_url: string;
+  local_model: string;
+  zai_model: "glm-4.7" | "glm-5";
+  anythingllm_base_url: string;
+  anythingllm_workspace_slug: string;
   tools: ToolToggle[];
 };
 
@@ -25,6 +29,41 @@ export type UserRecord = {
   is_active: boolean;
 };
 
+export type UserProfileRecord = {
+  telegram_user_id: number;
+  display_name?: string | null;
+  bio?: string | null;
+  occupation?: string | null;
+  primary_use_cases: string[];
+  answer_priorities: string[];
+  tone_preference?: string | null;
+  response_length?: string | null;
+  language_preference?: string | null;
+  workflow_preference?: string | null;
+  interests: string[];
+  approval_preferences: string[];
+  avoid_preferences?: string | null;
+  onboarding_completed: boolean;
+  last_onboarding_step: number;
+};
+
+export type AutomationRecord = {
+  id: number;
+  telegram_user_id: number;
+  name: string;
+  prompt: string;
+  schedule_type: "daily" | "weekdays" | "weekly" | "hourly";
+  interval_hours?: number | null;
+  time_of_day?: string | null;
+  days_of_week: string[];
+  status: "active" | "paused";
+  last_run_at?: string | null;
+  next_run_at?: string | null;
+  last_result?: string | null;
+  created_at: string;
+  updated_at: string;
+};
+
 export type MemoryRecord = {
   id: number;
   content: string;
@@ -34,6 +73,7 @@ export type MemoryRecord = {
 
 export type OllamaStatus = {
   reachable: boolean;
+  provider: "local" | "zai";
   base_url: string;
   model: string;
   installed_models: string[];

restart.sh

@@ -0,0 +1,58 @@
+#!/bin/zsh
+
+set -euo pipefail
+
+ROOT_DIR="$(cd "$(dirname "$0")" && pwd)"
+BACKEND_DIR="$ROOT_DIR/backend"
+LOG_DIR="$ROOT_DIR/.wiseclaw/logs"
+PID_FILE="$ROOT_DIR/.wiseclaw/backend.pid"
+LOG_FILE="$LOG_DIR/backend.log"
+HEALTH_URL="http://127.0.0.1:8000/health"
+
+mkdir -p "$LOG_DIR"
+
+stop_existing() {
+  if [[ -f "$PID_FILE" ]]; then
+    local old_pid
+    old_pid="$(cat "$PID_FILE" 2>/dev/null || true)"
+    if [[ -n "${old_pid:-}" ]] && kill -0 "$old_pid" 2>/dev/null; then
+      kill "$old_pid" 2>/dev/null || true
+      sleep 1
+    fi
+    rm -f "$PID_FILE"
+  fi
+
+  pkill -f "uvicorn app.main:app --host 0.0.0.0 --port 8000" >/dev/null 2>&1 || true
+}
+
+start_backend() {
+  (
+    cd "$BACKEND_DIR"
+    exec /bin/zsh -lc 'set -a; source .env >/dev/null 2>&1; exec .venv312/bin/python -m uvicorn app.main:app --host 0.0.0.0 --port 8000'
+  ) >"$LOG_FILE" 2>&1 &
+  echo $! > "$PID_FILE"
+}
+
+wait_for_health() {
+  local attempt
+  for attempt in {1..20}; do
+    if curl -fsS "$HEALTH_URL" >/dev/null 2>&1; then
+      return 0
+    fi
+    sleep 1
+  done
+  return 1
+}
+
+stop_existing
+start_backend
+
+if wait_for_health; then
+  echo "WiseClaw backend restarted."
+  echo "PID: $(cat "$PID_FILE")"
+  echo "Log: $LOG_FILE"
+  exit 0
+fi
+
+echo "WiseClaw backend failed to start. Check log: $LOG_FILE" >&2
+exit 1