autogen - 💡(How to fix) Fix Proposal: Standardized Safety Sandbox for Agent Tool Execution [3 comments, 3 participants]

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microsoft/autogen#7230Fetched 2026-04-08 00:40:09
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As multi-agent frameworks evolve, tool execution becomes a critical security vector.

Problem: Currently, many agents execute code or tools with broad permissions. While sandboxing exists (Docker, etc.), there isn't a standardized, portable way to define safety constraints per tool or per agent that is framework-agnostic.

Proposal: Introduce a ToolSafetyPolicy interface that can be implemented by different executors (Docker, Firecracker, WASM).

  • Allow defining allow_network, allow_filesystem, max_memory, etc. at the tool definition level.
  • Ensure these policies are enforced by the executor before the tool runs.

This would align Autogen with emerging safety standards in AI.

extent analysis

Fix Plan

To address the issue, we'll introduce a ToolSafetyPolicy interface and implement it for different executors.

Step-by-Step Solution:

  • Define the ToolSafetyPolicy interface with methods for setting safety constraints:
    • allow_network
    • allow_filesystem
    • max_memory
  • Implement the interface for each executor (e.g., Docker, Firecracker, WASM)
  • Modify the tool definition to include safety constraints
  • Update the executor to enforce the safety policy before running the tool

Example Code (Python):

from abc import ABC, abstractmethod

class ToolSafetyPolicy(ABC):
    @abstractmethod
    def allow_network(self, allow: bool):
        pass

    @abstractmethod
    def allow_filesystem(self, allow: bool):
        pass

    @abstractmethod
    def set_max_memory(self, max_memory: int):
        pass

class DockerExecutor(ToolSafetyPolicy):
    def allow_network(self, allow: bool):
        # Implement Docker-specific network allowance
        print(f"Allow network: {allow}")

    def allow_filesystem(self, allow: bool):
        # Implement Docker-specific filesystem allowance
        print(f"Allow filesystem: {allow}")

    def set_max_memory(self, max_memory: int):
        # Implement Docker-specific memory limitation
        print(f"Set max memory: {max_memory} MB")

# Example usage:
docker_executor = DockerExecutor()
docker_executor.allow_network(True)
docker_executor.allow_filesystem(False)
docker_executor.set_max_memory(1024)

Verification

To verify the fix, test the ToolSafetyPolicy implementation for each executor and ensure that the safety constraints are enforced correctly.

Extra Tips

  • Consider using a configuration file or database to store the safety constraints for each tool and executor.
  • Implement logging and monitoring to detect and respond to potential security incidents.
  • Regularly review and update the ToolSafetyPolicy interface and implementations to ensure they align with emerging safety standards in AI.

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