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suna/backend/agent/tools/utils/daytona_sandbox.py

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9.1 KiB
Python
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import os
import requests
from time import sleep
from daytona_sdk import Daytona, DaytonaConfig, CreateSandboxParams, SessionExecuteRequest
from dotenv import load_dotenv
from agentpress.tool import Tool
from utils.logger import logger
load_dotenv()
config = DaytonaConfig(
api_key=os.getenv("DAYTONA_API_KEY"),
server_url=os.getenv("DAYTONA_SERVER_URL"),
target=os.getenv("DAYTONA_TARGET")
)
daytona = Daytona(config)
sandbox_browser_api = b'''
import traceback
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from browser_use import Agent, Browser
from browser_use.browser.context import BrowserContextConfig, BrowserContextWindowSize
from langchain_openai import ChatOpenAI
import uvicorn
from contextlib import asynccontextmanager
import logging
import logging.handlers
import os
# Configure logging
log_dir = "/var/log/kortix"
os.makedirs(log_dir, exist_ok=True)
log_file = os.path.join(log_dir, "kortix_api.log")
logger = logging.getLogger("kortix_api")
logger.setLevel(logging.INFO)
# Create rotating file handler
file_handler = logging.handlers.RotatingFileHandler(
log_file,
maxBytes=10485760, # 10MB
backupCount=5
)
file_handler.setFormatter(
logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
)
logger.addHandler(file_handler)
@asynccontextmanager
async def lifespan(app: FastAPI):
# Initialize browser on startup
global browser
try:
browser = Browser()
logger.info("Browser initialized successfully")
except Exception as e:
logger.error(f"Error initializing browser: {str(e)}")
logger.error(traceback.format_exc())
yield
# Clean up resources at shutdown if needed
app = FastAPI(lifespan=lifespan)
# Global variables to maintain browser state
browser = None
browser_context = None
agent = None
class TaskRequest(BaseModel):
task_description: str
@app.post("/run-task")
async def run_task(request: TaskRequest):
global browser, browser_context, agent
if not browser:
try:
browser = Browser()
except Exception as e:
error_msg = f"Failed to initialize browser: {str(e)}"
logger.error(error_msg)
raise HTTPException(status_code=500, detail=error_msg)
try:
# Create a browser context if it doesn't exist
if not browser_context:
browser_context = await browser.new_context(
config=BrowserContextConfig(
browser_window_size=BrowserContextWindowSize(
width=1280, height=800
),
)
)
logger.info("Created new browser context")
# Create a new agent for each task
agent = Agent(
task=request.task_description,
llm=ChatOpenAI(model="gpt-4o"),
browser=browser,
browser_context=browser_context
)
logger.info(f"Starting task: {request.task_description}")
result = await agent.run()
# Format the history for response
history = []
for h in result.history:
logger.debug(f"Task history entry: {h}")
history.append(str(h))
logger.info("Task completed successfully")
return {
"status": "success",
"history": history
}
except Exception as e:
error_traceback = traceback.format_exc()
logger.error(f"Error during task execution: {str(e)}")
logger.error(error_traceback)
raise HTTPException(
status_code=500,
detail={
"status": "error",
"error": str(e),
"traceback": error_traceback
}
)
@app.get("/health")
async def health_check():
status = {
"status": "healthy",
"browser_initialized": browser is not None,
"context_initialized": browser_context is not None
}
logger.debug(f"Health check: {status}")
return status
if __name__ == "__main__":
logger.info("Starting Kortix API server")
uvicorn.run(app, host="0.0.0.0", port=8000)
'''
sandbox_website_server = b'''
import os
from fastapi import FastAPI, HTTPException, Request
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
import uvicorn
import logging
import logging.handlers
# Configure logging
log_dir = "/var/log/kortix"
os.makedirs(log_dir, exist_ok=True)
log_file = os.path.join(log_dir, "website_server.log")
logger = logging.getLogger("website_server")
logger.setLevel(logging.INFO)
# Create rotating file handler
file_handler = logging.handlers.RotatingFileHandler(
log_file,
maxBytes=10485760, # 10MB
backupCount=5
)
file_handler.setFormatter(
logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
)
logger.addHandler(file_handler)
app = FastAPI()
# Create site directory if it doesn't exist
site_dir = "/workspace/site"
os.makedirs(site_dir, exist_ok=True)
# Mount the static files directory
app.mount("/", StaticFiles(directory=site_dir, html=True), name="site")
@app.get("/health")
async def health_check():
status = {
"status": "healthy"
}
logger.debug(f"Health check: {status}")
return status
if __name__ == "__main__":
logger.info("Starting website server")
uvicorn.run(app, host="0.0.0.0", port=8080)
'''
def create_sandbox(password: str):
sandbox = daytona.create(CreateSandboxParams(
image="adamcohenhillel/kortix-browser-use:0.0.1",
env_vars={
"CHROME_PERSISTENT_SESSION": "true",
"RESOLUTION": "1920x1080x24",
"RESOLUTION_WIDTH": "1920",
"RESOLUTION_HEIGHT": "1080",
"VNC_PASSWORD": password,
"OPENAI_ENDPOINT": "https://api.openai.com/v1",
"OPENAI_API_KEY": os.getenv("OPENAI_API_KEY"),
"ANTHROPIC_API_KEY": "",
"ANTHROPIC_ENDPOINT": "https://api.anthropic.com",
"GOOGLE_API_KEY": "",
"AZURE_OPENAI_ENDPOINT": "",
"AZURE_OPENAI_API_KEY": "",
"AZURE_OPENAI_API_VERSION": "2025-01-01-preview",
"DEEPSEEK_ENDPOINT": "https://api.deepseek.com",
"DEEPSEEK_API_KEY": "",
"OLLAMA_ENDPOINT": "http://localhost:11434",
"ANONYMIZED_TELEMETRY": "false",
"BROWSER_USE_LOGGING_LEVEL": "info",
"CHROME_PATH": "",
"CHROME_USER_DATA": "",
"CHROME_DEBUGGING_PORT": "9222",
"CHROME_DEBUGGING_HOST": "localhost",
"CHROME_CDP": ""
},
ports=[
7788, # Gradio default port
6080, # noVNC web interface
5901, # VNC port
9222, # Chrome remote debugging port
8000, # FastAPI port
8080 # HTTP website port
]
))
sandbox.fs.upload_file(sandbox.get_user_root_dir() + "/browser_api.py", sandbox_browser_api)
sandbox.fs.upload_file(sandbox.get_user_root_dir() + "/website_server.py", sandbox_website_server)
sandbox.process.create_session('sandbox_browser_api')
sandbox.process.create_session('sandbox_website_server')
rsp = sandbox.process.execute_session_command('sandbox_browser_api', SessionExecuteRequest(
command="python " + sandbox.get_user_root_dir() + "/browser_api.py",
var_async=True
))
rsp2 = sandbox.process.execute_session_command('sandbox_website_server', SessionExecuteRequest(
command="python " + sandbox.get_user_root_dir() + "/website_server.py",
var_async=True
))
times = 0
success = False
api_url = sandbox.get_preview_link(8000)
while times < 10:
times += 1
logger.info(f"Waiting for API to be ready...")
# Make the API call to our FastAPI endpoint
response = requests.get(f"{api_url}/health")
if response.status_code == 200:
logger.info(f"API call completed successfully")
success = True
break
else:
sleep(1)
if not success:
raise Exception("API call failed")
logger.info(f"Executed command {rsp}")
logger.info(f"Executed command {rsp2}")
logger.info(f"Created kortix_browser_use_api session `kortix_browser_use_api`")
return sandbox
class SandboxToolsBase(Tool):
"""Tool for executing tasks in a Daytona sandbox with browser-use capabilities."""
def __init__(self, sandbox_id: str, password: str):
super().__init__()
self.sandbox = None
self.daytona = daytona
self.workspace_path = "/workspace"
self.sandbox_id = sandbox_id
try:
self.sandbox = self.daytona.get_current_sandbox(self.sandbox_id)
except Exception as e:
logger.error(f"Error getting sandbox: {e}")
raise e
self.api_url = self.sandbox.get_preview_link(8000)
print("\033[95m***")
print(self.sandbox.get_preview_link(6080))
print(self.sandbox.get_preview_link(8080))
print("***\033[0m")
def clean_path(self, path: str) -> str:
return path.replace(self.workspace_path, "").lstrip("/")
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