change to exec in deploy

backend/agent/run.py

@@ -18,7 +18,6 @@ from agent.tools.sb_files_tool import SandboxFilesTool
 from agent.tools.sb_browser_tool import SandboxBrowserTool
 from agent.tools.data_providers_tool import DataProvidersTool
 from agent.prompt import get_system_prompt
-from sandbox.sandbox import create_sandbox, get_or_start_sandbox
 from utils import logger
 from utils.billing import check_billing_status, get_account_id_from_thread
 

backend/agent/tools/sb_deploy_tool.py

@@ -3,7 +3,6 @@ from dotenv import load_dotenv
 from agentpress.tool import ToolResult, openapi_schema, xml_schema
 from sandbox.sandbox import SandboxToolsBase, Sandbox
 from utils.files_utils import clean_path
-from agent.tools.sb_shell_tool import SandboxShellTool
 from agentpress.thread_manager import ThreadManager
 
 # Load environment variables
@@ -16,7 +15,6 @@ class SandboxDeployTool(SandboxToolsBase):
         super().__init__(project_id, thread_manager)
         self.workspace_path = "/workspace"  # Ensure we're always operating in /workspace
         self.cloudflare_api_token = os.getenv("CLOUDFLARE_API_TOKEN")
-        self.shell_tool = SandboxShellTool(project_id, thread_manager)
 
     def clean_path(self, path: str) -> str:
         """Clean and normalize a path to be relative to /workspace"""
@@ -99,27 +97,23 @@ class SandboxDeployTool(SandboxToolsBase):
                     
                 # Single command that creates the project if it doesn't exist and then deploys
                 project_name = f"{self.sandbox_id}-{name}"
-                deploy_cmd = f'''export CLOUDFLARE_API_TOKEN={self.cloudflare_api_token} && 
+                deploy_cmd = f'''cd {self.workspace_path} && export CLOUDFLARE_API_TOKEN={self.cloudflare_api_token} && 
                     (npx wrangler pages deploy {full_path} --project-name {project_name} || 
                     (npx wrangler pages project create {project_name} --production-branch production && 
                     npx wrangler pages deploy {full_path} --project-name {project_name}))'''
 
-                # Execute command using shell_tool.execute_command
-                response = await self.shell_tool.execute_command(
-                    command=deploy_cmd,
-                    folder=None,  # Use the workspace root
-                    timeout=300   # Increased timeout for deployments
-                )
+                # Execute the command directly using the sandbox's process.exec method
+                response = self.sandbox.process.exec(deploy_cmd, timeout=300)
                 
-                print(f"Deployment response: {response}")
+                print(f"Deployment command output: {response.result}")
                 
-                if response.success:
+                if response.exit_code == 0:
                     return self.success_response({
                         "message": f"Website deployed successfully",
-                        "output": response.output
+                        "output": response.result
                     })
                 else:
-                    return self.fail_response(f"Deployment failed: {response.output}")
+                    return self.fail_response(f"Deployment failed with exit code {response.exit_code}: {response.result}")
             except Exception as e:
                 return self.fail_response(f"Error during deployment: {str(e)}")
         except Exception as e:

backend/api.py

@@ -1,5 +1,6 @@
-from fastapi import FastAPI
+from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
 from contextlib import asynccontextmanager
 from agentpress.thread_manager import ThreadManager
 from services.supabase import DBConnection
@@ -8,6 +9,8 @@ from dotenv import load_dotenv
 import asyncio
 from utils.logger import logger
 import uuid
+import time
+from collections import OrderedDict
 
 # Import the agent API module
 from agent import api as agent_api
@@ -21,6 +24,10 @@ db = DBConnection()
 thread_manager = None
 instance_id = str(uuid.uuid4())[:8]  # Generate instance ID at module load time
 
+# Rate limiter state
+ip_tracker = OrderedDict()
+MAX_CONCURRENT_IPS = 25
+
 @asynccontextmanager
 async def lifespan(app: FastAPI):
     # Startup
@@ -57,9 +64,56 @@ async def lifespan(app: FastAPI):
 
 app = FastAPI(lifespan=lifespan)
 
+# @app.middleware("http")
+# async def log_requests_middleware(request: Request, call_next):
+#     client_ip = request.client.host
+#     logger.info(f"Request from IP {client_ip} to {request.method} {request.url.path}")
+#     response = await call_next(request)
+#     return response
+
+# @app.middleware("http")
+# async def throw_error_middleware(request: Request, call_next):
+#     client_ip = request.client.host
+#     if client_ip != "109.49.168.102":
+#         logger.warning(f"Request blocked from IP {client_ip} to {request.method} {request.url.path}")
+#         return JSONResponse(
+#             status_code=403,
+#             content={"error": "Request blocked", "message": "Test DDoS protection"}
+#         )
+#     return await call_next(request)
+
+# @app.middleware("http")
+# async def rate_limit_middleware(request: Request, call_next):
+#     global ip_tracker
+#     client_ip = request.client.host
+    
+#     # Clean up old entries (older than 5 minutes)
+#     current_time = time.time()
+#     ip_tracker = OrderedDict((ip, ts) for ip, ts in ip_tracker.items() 
+#                            if current_time - ts < 300)
+    
+#     # Check if IP is already tracked
+#     if client_ip in ip_tracker:
+#         ip_tracker[client_ip] = current_time
+#         return await call_next(request)
+    
+#     # Check if we've hit the limit
+#     if len(ip_tracker) >= MAX_CONCURRENT_IPS:
+#         logger.warning(f"Rate limit exceeded. Current IPs: {len(ip_tracker)}")
+#         return JSONResponse(
+#             status_code=429,
+#             content={"error": "Too many concurrent connections", 
+#                     "message": "Maximum number of concurrent connections reached"}
+#         )
+    
+#     # Add new IP
+#     ip_tracker[client_ip] = current_time
+#     logger.info(f"New connection from IP {client_ip}. Total connections: {len(ip_tracker)}")
+#     return await call_next(request)
+
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=["https://www.suna.so", "https://suna.so", "https://staging.suna.so", "http://localhost:3000"],
+    allow_origins=["https://www.suna.so", "https://suna.so", "https://staging.suna.so"], #http://localhost:3000
     allow_credentials=True,
     allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
     allow_headers=["Content-Type", "Authorization"],

backend/docker/Dockerfile

@@ -14,13 +14,16 @@ COPY . .
 ENV PYTHONPATH=/app
 
 # Default environment variables
-# These should be overridden at runtime with actual values
 ENV DAYTONA_API_KEY=""
 ENV DAYTONA_SERVER_URL=""
 ENV DAYTONA_TARGET=""
 ENV ANTHROPIC_API_KEY=""
 ENV OPENAI_API_KEY=""
 ENV MODEL_TO_USE=""
+ENV TAVILY_API_KEY=""
+ENV RAPID_API_KEY=""
+ENV CLOUDFLARE_API_TOKEN=""
+
 
 ENV SUPABASE_URL=""
 ENV SUPABASE_ANON_KEY=""
@@ -35,4 +38,4 @@ ENV REDIS_SSL=""
 EXPOSE 8000
 
 # Command to run the application with Uvicorn directly
-CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "32", "--log-level", "info", "--timeout-keep-alive", "500", "--proxy-headers", "--forwarded-allow-ips", "*"]
+CMD ["gunicorn", "api:app", "--workers", "24", "--worker-class", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:8000", "--timeout", "600", "--graceful-timeout", "300", "--keep-alive", "250", "--max-requests", "1000", "--max-requests-jitter", "50", "--log-level", "info", "--forwarded-allow-ips", "*", "--worker-connections", "1000", "--worker-tmp-dir", "/dev/shm", "--preload"]