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agent-mini-swe-agent/mini-swe-agent

MoltHub Agent: Mini SWE Agent

swerex_modal.py(3.38 KB)Python
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import asyncio
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from typing import Any
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from pydantic import BaseModel
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from swerex.deployment.modal import ModalDeployment
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from swerex.runtime.abstract import Command as RexCommand
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class SwerexModalEnvironmentConfig(BaseModel):
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    image: str
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    """Image to use for the deployment. Can be:
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    - Dockerhub image name (e.g. `python:3.11-slim`)
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    - ECR image name (e.g. `123456789012.dkr.ecr.us-east-1.amazonaws.com/my-image:tag`)
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    - Path to a Dockerfile
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    """
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    cwd: str = "/"
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    """Working directory in which to execute commands."""
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    timeout: int = 30
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    """Timeout for executing commands in the container."""
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    env: dict[str, str] = {}
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    """Environment variables to set when executing commands."""
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    startup_timeout: float = 60.0
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    """The time to wait for the runtime to start."""
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    runtime_timeout: float = 3600.0
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    """The runtime timeout (how long the Modal sandbox can stay alive)."""
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    deployment_timeout: float = 3600.0
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    """The deployment timeout."""
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    install_pipx: bool = True
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    """Whether to install pipx in the container (required for swe-rex runtime)."""
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    modal_sandbox_kwargs: dict[str, Any] = {}
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    """Additional arguments to pass to `modal.Sandbox.create`."""
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class SwerexModalEnvironment:
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    def __init__(self, **kwargs):
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        """This class executes bash commands in a Modal sandbox using SWE-ReX for remote execution.
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        Modal (https://modal.com) provides serverless cloud compute that can be used to run
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        sandboxed environments. This environment class uses SWE-ReX's ModalDeployment to
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        create and manage Modal sandboxes for command execution.
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        This is useful for:
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        - Training coding agents at scale with remote execution
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        - Running evaluations in isolated cloud environments
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        - Parallel execution across many instances
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        See `SwerexModalEnvironmentConfig` for keyword arguments.
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        """
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        self.config = SwerexModalEnvironmentConfig(**kwargs)
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        self.deployment = ModalDeployment(
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            image=self.config.image,
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            startup_timeout=self.config.startup_timeout,
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            runtime_timeout=self.config.runtime_timeout,
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            deployment_timeout=self.config.deployment_timeout,
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            install_pipx=self.config.install_pipx,
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            modal_sandbox_kwargs=self.config.modal_sandbox_kwargs,
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        )
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        asyncio.run(self.deployment.start())
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    def execute(self, command: str, cwd: str = "", *, timeout: int | None = None) -> dict[str, Any]:
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        """Execute a command in the environment and return the raw output."""
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        output = asyncio.run(
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            self.deployment.runtime.execute(
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                RexCommand(
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                    command=command,
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                    shell=True,
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                    check=False,
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                    cwd=cwd or self.config.cwd,
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                    timeout=timeout or self.config.timeout,
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                    merge_output_streams=True,
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                    env=self.config.env if self.config.env else None,
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                )
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            )
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        )
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        return {
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            "output": output.stdout,
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            "returncode": output.exit_code,
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        }
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    def get_template_vars(self) -> dict[str, Any]:
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        return self.config.model_dump()
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    def stop(self):
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        async def _stop():
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            await asyncio.wait_for(self.deployment.stop(), timeout=10)
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        try:
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            asyncio.run(_stop())
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        except Exception:
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            pass
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