fix deployement script

Dockerfile.backend

@@ -27,10 +27,13 @@ RUN pip install --no-cache-dir -r requirements.txt
 COPY api.py .
 COPY sources/ ./sources/
 COPY prompts/ ./prompts/
+COPY crx/ crx/
+COPY llm_router/ llm_router/
+COPY .env .
 COPY config.ini .
 
 # Expose port
 EXPOSE 8000
 
 # Run the application
-CMD ["uvicorn", "api:api", "--host", "0.0.0.0", "--port", "8000"]
+CMD ["python3", "api.py"]

README_CHS.md

@@ -439,11 +439,14 @@ https://googlechromelabs.github.io/chrome-for-testing/
 
 ## FAQ
 
-**Q：我需要什么的硬体配备？**
+**Q：我需要什么样的硬体配备？**  
 
-7B 型号：具有 8GB VRAM 的 GPU。
+| 模型大小  | GPU  | 说明                                               |
-14B 型号：12GB GPU（例如 RTX 3060）。
+|-----------|--------|-----------------------------------------------------------|
-32B 型号：24GB+ VRAM。
+| 7B        | 8GB VRAM | ⚠️ 不推荐。性能较差，容易出现幻觉，规划代理可能会失败。 |
+| 14B        | 12GB VRAM（例如 RTX 3060） | ✅ 可用于简单任务。可能在网页浏览和规划任务上表现较弱。 |
+| 32B        | 24GB+ VRAM（例如 RTX 4090） | 🚀 能完成大多数任务，但在任务规划上可能仍有困难。 |
+| 70B+        | 48GB+ VRAM（例如 Mac Studio） | 💪 表现优秀。推荐用于高级用例。 |
 
 **Q：为什么选择 Deepseek R1 而不是其他模型？**
 

README_FR.md

@@ -383,13 +383,14 @@ Et téléchargez la version de chromedriver correspondant à votre système d’
 Si cette section est incomplète, merci de faire une nouvelle issue sur github.
 
 ## FAQ
+**Q: Quel matériel est nécessaire ?**  
 
-**Q: J'ai besoin d'un gros PC?**  
+| Taille du Modèle  | GPU  | Commentaire                                               |
-
+|--------------------|------|----------------------------------------------------------|
-ça dépend du modèle!
+| 7B                | 8 Go VRAM | ⚠️ Non recommandé. Performances médiocres, hallucinations fréquentes, et l'agent planificateur échouera probablement. |
-Pour un modèle 7B : GPU avec 8 Go de VRAM.
+| 14B               | 12 Go VRAM (par ex. RTX 3060) | ✅ Utilisable pour des tâches simples. Peut rencontrer des difficultés avec la navigation web et les tâches de planification. |
-Pour un modèle 14B : GPU 12 Go (par exemple, RTX 3060).
+| 32B               | 24+ Go VRAM (par ex. RTX 4090) | 🚀 Réussite avec la plupart des tâches, peut encore avoir des difficultés avec la planification des tâches. |
-Et un modèle 32B : 24 Go+ de VRAM.
+| 70B+              | 48+ Go VRAM (par ex. Mac Studio) | 💪 Excellent. Recommandé pour des cas d'utilisation avancés. |
 
 **Q: Pourquoi deepseek et pas un autre modèle**  
 

api.py

@@ -24,14 +24,14 @@ from concurrent.futures import ThreadPoolExecutor
 
 from celery import Celery
 
-app = FastAPI(title="AgenticSeek API", version="0.1.0")
+api = FastAPI(title="AgenticSeek API", version="0.1.0")
 celery_app = Celery("tasks", broker="redis://localhost:6379/0", backend="redis://localhost:6379/0")
 celery_app.conf.update(task_track_started=True)
 logger = Logger("backend.log")
 config = configparser.ConfigParser()
 config.read('config.ini')
 
-app.add_middleware(
+api.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
     allow_credentials=True,
@@ -41,7 +41,7 @@ app.add_middleware(
 
 if not os.path.exists(".screenshots"):
     os.makedirs(".screenshots")
-app.mount("/screenshots", StaticFiles(directory=".screenshots"), name="screenshots")
+api.mount("/screenshots", StaticFiles(directory=".screenshots"), name="screenshots")
 
 executor = ThreadPoolExecutor(max_workers=1)
 
@@ -106,7 +106,7 @@ def initialize_system():
 interaction = initialize_system()
 is_generating = False
 
-@app.get("/screenshot")
+@api.get("/screenshot")
 async def get_screenshot():
     logger.info("Screenshot endpoint called")
     screenshot_path = ".screenshots/updated_screen.png"
@@ -118,12 +118,12 @@ async def get_screenshot():
         content={"error": "No screenshot available"}
     )
 
-@app.get("/health")
+@api.get("/health")
 async def health_check():
     logger.info("Health check endpoint called")
     return {"status": "healthy", "version": "0.1.0"}
 
-@app.get("/is_active")
+@api.get("/is_active")
 async def is_active():
     logger.info("Is active endpoint called")
     return {"is_active": interaction.is_active}
@@ -146,7 +146,7 @@ def think_wrapper(interaction, query, tts_enabled):
         interaction.last_success = False
         raise e
 
-@app.post("/query", response_model=QueryResponse)
+@api.post("/query", response_model=QueryResponse)
 async def process_query(request: QueryRequest):
     global is_generating
     logger.info(f"Processing query: {request.query}")
@@ -199,4 +199,4 @@ async def process_query(request: QueryRequest):
             interaction.save_session()
 
 if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=8000)
+    uvicorn.run(api, host="0.0.0.0", port=8000)

docker-compose.yml

@@ -61,13 +61,54 @@ services:
       - ./screenshots:/app/screenshots
     environment:
       - NODE_ENV=development
-      - CHOKIDAR_USEPOLLING=true  # Ensure file watching works in Docker
+      - CHOKIDAR_USEPOLLING=true
-      - BACKEND_URL=http://host.docker.internal:8000
+      - BACKEND_URL=http://backend:8000
+    networks:
+      - agentic-seek-net
+  
+  backend:
+    container_name: backend
+    build:
+      context: ./
+      dockerfile: Dockerfile.backend
+    stdin_open: true
+    tty: true
+    shm_size: 6g
+    ports:
+      - "8000:8000"
+    volumes:
+      - ./:/app
+    #network_mode: host
+    environment:
+      - NODE_ENV=development
+      - REDIS_URL=redis://redis:6379/0
+      - SEARXNG_URL=http://searxng:8080
+      - OLLAMA_URL=http://localhost:11434
+      - LM_STUDIO_URL=http://localhost:1234
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    depends_on:
+      - redis
+      - searxng
+      - selenium
+    networks:
+      - agentic-seek-net
+  
+  selenium:
+    image: selenium/standalone-chrome
+    platform: linux/amd64
+    shm_size: 2g
+    volumes:
+      - /dev/shm:/dev/shm
+      - chrome_profiles:/tmp/chrome
+    ports:
+      - 4444:4444
     networks:
       - agentic-seek-net
 
 volumes:
   redis-data:
+  chrome_profiles:
 
 networks:
   agentic-seek-net:

frontend/Dockerfile.frontend

@@ -7,7 +7,7 @@ COPY agentic-seek-front/package.json agentic-seek-front/package-lock.json ./
 RUN npm install
 
 # Copy application code
-COPY .agentic-seek-front/ .
+COPY agentic-seek-front/ .
 
 # Expose port
 EXPOSE 3000

frontend/agentic-seek-front/src/App.js

@@ -19,7 +19,7 @@ function App() {
 
     const checkHealth = async () => {
         try {
-            await axios.get('http://0.0.0.0:8000/health');
+            await axios.get('http://backend:8000/health');
             setIsOnline(true);
             console.log('System is online');
         } catch {
@@ -39,7 +39,7 @@ function App() {
             const fetchScreenshot = async () => {
                 try {
                     const timestamp = new Date().getTime();
-                    const res = await axios.get(`http://0.0.0.0:8000/screenshots/updated_screen.png?timestamp=${timestamp}`, {
+                    const res = await axios.get(`http://backend:8000/screenshots/updated_screen.png?timestamp=${timestamp}`, {
                         responseType: 'blob'
                     });
                     if (isMounted) {
@@ -94,7 +94,7 @@ function App() {
 
         try {
             console.log('Sending query:', query);
-            const res = await axios.post('http://0.0.0.0:8000/query', {
+            const res = await axios.post('http://backend:8000/query', {
                 query,
                 tts_enabled: false
             });

searxng/settings.yml.new

@@ -95,7 +95,7 @@ server:
   # If your instance owns a /etc/searxng/settings.yml file, then set the following
   # values there.
 
-  secret_key: "a0f32049a2301f36ef012b9b7ef62733b4af1379a1d28d5c33d92cea37288182"  # Is overwritten by ${SEARXNG_SECRET}
+  secret_key: "1234bbd68b6c51ff0b9ccb77e39b1f20a3178b63e71496cbc89ef019f0341382"  # Is overwritten by ${SEARXNG_SECRET}
   # Proxy image results through SearXNG. Is overwritten by ${SEARXNG_IMAGE_PROXY}
   image_proxy: false
   # 1.0 and 1.1 are supported
@@ -2642,6 +2642,12 @@ engines:
     shortcut: pgo
     disabled: true
 
+  - name: senscritique
+    engine: senscritique
+    shortcut: scr
+    timeout: 4.0
+    disabled: true
+
 # Doku engine lets you access to any Doku wiki instance:
 # A public one or a privete/corporate one.
 #  - name: ubuntuwiki