- Updated `.env.example` to include new API keys and configuration options for the mini-swe-agent backend, including support for local, Docker, and Modal environments. - Added `.gitmodules` to include mini-swe-agent as a submodule for easier integration. - Refactored `mini_swe_runner.py` to use the updated model format and default to OpenRouter for API calls. - Enhanced `model_tools.py` to support the new terminal tool definitions and ensure compatibility with the mini-swe-agent backend. - Updated `README.md` to reflect changes in setup instructions and environment variable configurations. - Improved `terminal_tool.py` to manage execution environments and lifecycle, ensuring proper cleanup and error handling. - Introduced `terminal_hecate.py` for executing commands on MorphCloud VMs, providing an alternative backend for terminal operations.
447 lines
16 KiB
Python
447 lines
16 KiB
Python
#!/usr/bin/env python3
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"""
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Terminal Tool Module (mini-swe-agent backend)
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A terminal tool that executes commands using mini-swe-agent's execution environments.
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Supports local execution, Docker containers, and Modal cloud sandboxes.
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Environment Selection (via TERMINAL_ENV environment variable):
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- "local": Execute directly on the host machine (default, fastest)
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- "docker": Execute in Docker containers (isolated, requires Docker)
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- "modal": Execute in Modal cloud sandboxes (scalable, requires Modal account)
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Features:
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- Multiple execution backends (local, docker, modal)
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- Background task support
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- VM/container lifecycle management
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- Automatic cleanup after inactivity
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Usage:
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from terminal_tool import terminal_tool
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# Execute a simple command
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result = terminal_tool("ls -la")
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# Execute in background
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result = terminal_tool("python server.py", background=True)
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"""
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import json
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import os
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import sys
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import time
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import threading
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import atexit
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from pathlib import Path
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from typing import Optional, Dict, Any
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# Add mini-swe-agent to path if not installed
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mini_swe_path = Path(__file__).parent.parent / "mini-swe-agent" / "src"
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if mini_swe_path.exists():
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sys.path.insert(0, str(mini_swe_path))
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# Tool description for LLM
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TERMINAL_TOOL_DESCRIPTION = """Execute commands on a secure Linux environment.
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**Environment:**
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- Isolated execution environment (local, Docker, or Modal cloud based on configuration)
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- Filesystem persists between tool calls within the same task
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- Internet access available
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**Command Execution:**
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- Simple commands: Just provide the 'command' parameter
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- Background processes: Set 'background': True for servers/long-running tasks
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- Command timeout: Optional 'timeout' parameter in seconds
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**Examples:**
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- Run command: `{"command": "ls -la"}`
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- Background task: `{"command": "source venv/bin/activate && python server.py", "background": True}`
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- With timeout: `{"command": "long_task.sh", "timeout": 300}`
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**Best Practices:**
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- Run servers/long processes in background
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- Monitor disk usage for large tasks
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- Install whatever tools you need with apt-get or pip
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- Do not be afraid to run pip with --break-system-packages
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**Things to avoid:**
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- Do NOT use interactive tools such as tmux, vim, nano, python repl - you will get stuck.
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- Even git sometimes becomes interactive if the output is large. If you're not sure, pipe to cat.
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"""
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# Global state for environment lifecycle management
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_active_environments: Dict[str, Any] = {}
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_last_activity: Dict[str, float] = {}
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_env_lock = threading.Lock()
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_cleanup_thread = None
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_cleanup_running = False
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# Configuration from environment variables
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def _get_env_config() -> Dict[str, Any]:
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"""Get terminal environment configuration from environment variables."""
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return {
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"env_type": os.getenv("TERMINAL_ENV", "local"), # local, docker, or modal
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"docker_image": os.getenv("TERMINAL_DOCKER_IMAGE", "python:3.11-slim"),
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"modal_image": os.getenv("TERMINAL_MODAL_IMAGE", "python:3.11-slim"),
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"cwd": os.getenv("TERMINAL_CWD", "/tmp"),
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"timeout": int(os.getenv("TERMINAL_TIMEOUT", "60")),
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"lifetime_seconds": int(os.getenv("TERMINAL_LIFETIME_SECONDS", "300")),
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}
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def _create_environment(env_type: str, image: str, cwd: str, timeout: int):
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"""
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Create an execution environment from mini-swe-agent.
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Args:
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env_type: One of "local", "docker", "modal"
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image: Docker/Modal image name (ignored for local)
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cwd: Working directory
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timeout: Default command timeout
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Returns:
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Environment instance with execute() method
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"""
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if env_type == "local":
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from minisweagent.environments.local import LocalEnvironment
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return LocalEnvironment(cwd=cwd, timeout=timeout)
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elif env_type == "docker":
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from minisweagent.environments.docker import DockerEnvironment
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return DockerEnvironment(image=image, cwd=cwd, timeout=timeout)
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elif env_type == "modal":
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from minisweagent.environments.extra.swerex_modal import SwerexModalEnvironment
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return SwerexModalEnvironment(image=image, cwd=cwd, timeout=timeout)
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else:
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raise ValueError(f"Unknown environment type: {env_type}. Use 'local', 'docker', or 'modal'")
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def _cleanup_inactive_envs(lifetime_seconds: int = 300):
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"""Clean up environments that have been inactive for longer than lifetime_seconds."""
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global _active_environments, _last_activity
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current_time = time.time()
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tasks_to_cleanup = []
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with _env_lock:
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for task_id, last_time in list(_last_activity.items()):
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if current_time - last_time > lifetime_seconds:
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tasks_to_cleanup.append(task_id)
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for task_id in tasks_to_cleanup:
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try:
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if task_id in _active_environments:
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env = _active_environments[task_id]
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# Try various cleanup methods
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if hasattr(env, 'cleanup'):
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env.cleanup()
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elif hasattr(env, 'stop'):
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env.stop()
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elif hasattr(env, 'terminate'):
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env.terminate()
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del _active_environments[task_id]
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print(f"[Terminal Cleanup] Cleaned up inactive environment for task: {task_id}")
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if task_id in _last_activity:
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del _last_activity[task_id]
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except Exception as e:
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error_str = str(e)
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if "404" in error_str or "not found" in error_str.lower():
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print(f"[Terminal Cleanup] Environment for task {task_id} already cleaned up")
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else:
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print(f"[Terminal Cleanup] Error cleaning up environment for task {task_id}: {e}")
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# Always remove from tracking dicts
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if task_id in _active_environments:
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del _active_environments[task_id]
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if task_id in _last_activity:
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del _last_activity[task_id]
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def _cleanup_thread_worker():
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"""Background thread worker that periodically cleans up inactive environments."""
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global _cleanup_running
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while _cleanup_running:
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try:
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config = _get_env_config()
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_cleanup_inactive_envs(config["lifetime_seconds"])
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except Exception as e:
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print(f"[Terminal Cleanup] Error in cleanup thread: {e}")
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for _ in range(60):
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if not _cleanup_running:
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break
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time.sleep(1)
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def _start_cleanup_thread():
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"""Start the background cleanup thread if not already running."""
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global _cleanup_thread, _cleanup_running
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with _env_lock:
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if _cleanup_thread is None or not _cleanup_thread.is_alive():
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_cleanup_running = True
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_cleanup_thread = threading.Thread(target=_cleanup_thread_worker, daemon=True)
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_cleanup_thread.start()
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def _stop_cleanup_thread():
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"""Stop the background cleanup thread."""
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global _cleanup_running
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_cleanup_running = False
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if _cleanup_thread is not None:
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_cleanup_thread.join(timeout=5)
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def cleanup_vm(task_id: str):
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"""Manually clean up a specific environment by task_id."""
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global _active_environments, _last_activity
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with _env_lock:
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try:
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if task_id in _active_environments:
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env = _active_environments[task_id]
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if hasattr(env, 'cleanup'):
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env.cleanup()
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elif hasattr(env, 'stop'):
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env.stop()
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elif hasattr(env, 'terminate'):
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env.terminate()
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del _active_environments[task_id]
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print(f"[Terminal Cleanup] Manually cleaned up environment for task: {task_id}")
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if task_id in _last_activity:
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del _last_activity[task_id]
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except Exception as e:
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error_str = str(e)
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if "404" in error_str or "not found" in error_str.lower():
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print(f"[Terminal Cleanup] Environment for task {task_id} already cleaned up")
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else:
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print(f"[Terminal Cleanup] Error cleaning up environment for task {task_id}: {e}")
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atexit.register(_stop_cleanup_thread)
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def terminal_tool(
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command: str,
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background: bool = False,
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timeout: Optional[int] = None,
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task_id: Optional[str] = None
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) -> str:
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"""
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Execute a command using mini-swe-agent's execution environments.
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Args:
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command: The command to execute
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background: Whether to run in background (default: False)
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timeout: Command timeout in seconds (default: from config)
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task_id: Unique identifier for environment isolation (optional)
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Returns:
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str: JSON string with output, exit_code, and error fields
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Examples:
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# Execute a simple command
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>>> result = terminal_tool(command="ls -la /tmp")
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# Run a background task
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>>> result = terminal_tool(command="python server.py", background=True)
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# With custom timeout
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>>> result = terminal_tool(command="long_task.sh", timeout=300)
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"""
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global _active_environments, _last_activity
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try:
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# Get configuration
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config = _get_env_config()
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env_type = config["env_type"]
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# Select image based on env type
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if env_type == "docker":
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image = config["docker_image"]
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elif env_type == "modal":
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image = config["modal_image"]
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else:
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image = ""
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cwd = config["cwd"]
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default_timeout = config["timeout"]
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effective_timeout = timeout or default_timeout
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# Use task_id for environment isolation
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effective_task_id = task_id or "default"
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# Start cleanup thread
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_start_cleanup_thread()
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# Get or create environment
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with _env_lock:
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if effective_task_id not in _active_environments:
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try:
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_active_environments[effective_task_id] = _create_environment(
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env_type=env_type,
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image=image,
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cwd=cwd,
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timeout=effective_timeout
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)
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except ImportError as e:
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return json.dumps({
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"output": "",
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"exit_code": -1,
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"error": f"Terminal tool disabled: mini-swe-agent not available ({e})",
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"status": "disabled"
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}, ensure_ascii=False)
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# Update last activity time
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_last_activity[effective_task_id] = time.time()
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env = _active_environments[effective_task_id]
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# Prepare command for execution
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if background:
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# Run in background with nohup and redirect output
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exec_command = f"nohup {command} > /tmp/bg_output.log 2>&1 &"
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try:
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result = env.execute(exec_command, timeout=10)
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return json.dumps({
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"output": "Background task started successfully",
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"exit_code": 0,
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"error": None
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}, ensure_ascii=False)
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except Exception as e:
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return json.dumps({
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"output": "",
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"exit_code": -1,
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"error": f"Failed to start background task: {str(e)}"
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}, ensure_ascii=False)
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else:
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# Run foreground command with retry logic
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max_retries = 3
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retry_count = 0
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result = None
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while retry_count <= max_retries:
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try:
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result = env.execute(command, timeout=effective_timeout)
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except Exception as e:
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error_str = str(e).lower()
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if "timeout" in error_str:
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return json.dumps({
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"output": "",
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"exit_code": 124,
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"error": f"Command timed out after {effective_timeout} seconds"
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}, ensure_ascii=False)
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# Retry on transient errors
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if retry_count < max_retries:
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retry_count += 1
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wait_time = 2 ** retry_count
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print(f"⚠️ Terminal: execution error, retrying in {wait_time}s (attempt {retry_count}/{max_retries})")
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time.sleep(wait_time)
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continue
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return json.dumps({
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"output": "",
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"exit_code": -1,
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"error": f"Command execution failed: {str(e)}"
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}, ensure_ascii=False)
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# Got a result
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break
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# Extract output
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output = result.get("output", "")
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returncode = result.get("returncode", 0)
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# Truncate output if too long
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MAX_OUTPUT_CHARS = 50000
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if len(output) > MAX_OUTPUT_CHARS:
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truncated_notice = f"\n\n... [OUTPUT TRUNCATED - showing last {MAX_OUTPUT_CHARS} chars of {len(output)} total] ..."
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output = truncated_notice + output[-MAX_OUTPUT_CHARS:]
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return json.dumps({
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"output": output.strip() if output else "",
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"exit_code": returncode,
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"error": None
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}, ensure_ascii=False)
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except Exception as e:
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return json.dumps({
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"output": "",
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"exit_code": -1,
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"error": f"Failed to execute command: {str(e)}",
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"status": "error"
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}, ensure_ascii=False)
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def check_terminal_requirements() -> bool:
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"""Check if all requirements for the terminal tool are met."""
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config = _get_env_config()
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env_type = config["env_type"]
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try:
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if env_type == "local":
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from minisweagent.environments.local import LocalEnvironment
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return True
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elif env_type == "docker":
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from minisweagent.environments.docker import DockerEnvironment
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# Check if docker is available
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import subprocess
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result = subprocess.run(["docker", "version"], capture_output=True, timeout=5)
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return result.returncode == 0
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elif env_type == "modal":
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from minisweagent.environments.extra.swerex_modal import SwerexModalEnvironment
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# Check for modal token
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return os.getenv("MODAL_TOKEN_ID") is not None or Path.home().joinpath(".modal.toml").exists()
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else:
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return False
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except Exception as e:
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print(f"Terminal requirements check failed: {e}")
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return False
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if __name__ == "__main__":
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"""Simple test when run directly."""
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print("Terminal Tool Module (mini-swe-agent backend)")
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print("=" * 50)
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config = _get_env_config()
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print(f"\nCurrent Configuration:")
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print(f" Environment type: {config['env_type']}")
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print(f" Docker image: {config['docker_image']}")
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print(f" Modal image: {config['modal_image']}")
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print(f" Working directory: {config['cwd']}")
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print(f" Default timeout: {config['timeout']}s")
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print(f" Lifetime: {config['lifetime_seconds']}s")
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if not check_terminal_requirements():
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print("\n❌ Requirements not met. Please check the messages above.")
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exit(1)
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print("\n✅ All requirements met!")
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print("\nAvailable Tool:")
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print(" - terminal_tool: Execute commands using mini-swe-agent environments")
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print("\nUsage Examples:")
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print(" # Execute a command")
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print(" result = terminal_tool(command='ls -la')")
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print(" ")
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print(" # Run a background task")
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print(" result = terminal_tool(command='python server.py', background=True)")
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print("\nEnvironment Variables:")
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print(f" TERMINAL_ENV: {os.getenv('TERMINAL_ENV', 'local')} (local/docker/modal)")
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print(f" TERMINAL_DOCKER_IMAGE: {os.getenv('TERMINAL_DOCKER_IMAGE', 'python:3.11-slim')}")
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print(f" TERMINAL_MODAL_IMAGE: {os.getenv('TERMINAL_MODAL_IMAGE', 'python:3.11-slim')}")
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print(f" TERMINAL_CWD: {os.getenv('TERMINAL_CWD', '/tmp')}")
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print(f" TERMINAL_TIMEOUT: {os.getenv('TERMINAL_TIMEOUT', '60')}")
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print(f" TERMINAL_LIFETIME_SECONDS: {os.getenv('TERMINAL_LIFETIME_SECONDS', '300')}")
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