Docker setup Installation Install Docker on your system Install the required packages: Copied pip install 'smolagents[docker]' Setting up the docker sandbox Create a Dockerfile for your agent environment: Copied FROM python:3.10-bullseye # Install build dependencies RUN apt-get update && \ apt-get install -y --no-install-recommends \ build-essential \ python3-dev && \ pip install --no-cache-dir --upgrade pip && \ pip install --no-cache-dir smolagents && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* # Set working directory WORKDIR /app # Run with limited privileges USER nobody # Default command CMD ["python", "-c", "print('Container ready')"] Create a sandbox manager to run code: Copied import docker import os from typing import Optional class DockerSandbox: def __init__(self): self.client = docker.from_env() self.container = None def create_container(self): try: image, build_logs = self.client.images.build( path=".", tag="agent-sandbox", rm=True, forcerm=True, buildargs={}, # decode=True ) except docker.errors.BuildError as e: print("Build error logs:") for log in e.build_log: if 'stream' in log: print(log['stream'].strip()) raise # Create container with security constraints and proper logging self.container = self.client.containers.run( "agent-sandbox", command="tail -f /dev/null", # Keep container running detach=True, tty=True, mem_limit="512m", cpu_quota=50000, pids_limit=100, security_opt=["no-new-privileges"], cap_drop=["ALL"], environment={ "HF_TOKEN": os.getenv("HF_TOKEN") }, ) def run_code(self, code: str) -> Optional[str]: if not self.container: self.create_container() # Execute code in container exec_result = self.container.exec_run( cmd=["python", "-c", code], user="nobody" ) # Collect all output return exec_result.output.decode() if exec_result.output else None def cleanup(self): if self.container: try: self.container.stop() except docker.errors.NotFound: # Container already removed, this is expected pass except Exception as e: print(f"Error during cleanup: {e}") finally: self.container = None # Clear the reference # Example usage: sandbox = DockerSandbox() try: # Define your agent code agent_code = """ import os from smolagents import CodeAgent, HfApiModel # Initialize the agent agent = CodeAgent( model=HfApiModel(token=os.getenv("HF_TOKEN"), provider="together"), tools=[] ) # Run the agent response = agent.run("What's the 20th Fibonacci number?") print(response) """ # Run the code in the sandbox output = sandbox.run_code(agent_code) print(output) finally: sandbox.cleanup()

Running your agent in E2B: multi-agents To use multi-agents in an E2B sandbox, you need to run your agents completely from within E2B. Here is how to do it: Copied from e2b_code_interpreter import Sandbox import os # Create the sandbox sandbox = Sandbox() # Install required packages sandbox.commands.run("pip install smolagents") def run_code_raise_errors(sandbox, code: str, verbose: bool = False) -> str: execution = sandbox.run_code( code, envs={'HF_TOKEN': os.getenv('HF_TOKEN')} ) if execution.error: execution_logs = "\n".join([str(log) for log in execution.logs.stdout]) logs = execution_logs logs += execution.error.traceback raise ValueError(logs) return "\n".join([str(log) for log in execution.logs.stdout]) # Define your agent application agent_code = """ import os from smolagents import CodeAgent, HfApiModel # Initialize the agents agent = CodeAgent( model=HfApiModel(token=os.getenv("HF_TOKEN"), provider="together"), tools=[], name="coder_agent", description="This agent takes care of your difficult algorithmic problems using code." ) manager_agent = CodeAgent( model=HfApiModel(token=os.getenv("HF_TOKEN"), provider="together"), tools=[], managed_agents=[agent], ) # Run the agent response = manager_agent.run("What's the 20th Fibonacci number?") print(response) """ # Run the agent code in the sandbox execution_logs = run_code_raise_errors(sandbox, agent_code) print(execution_logs)