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milkymap

MCP4Modal Sandbox

by milkymap

write_file_content_to_sandbox

Write content to files in a Modal sandbox for prototyping, code generation, and implementing algorithms in isolated cloud environments.

Instructions

Writes content to a file in a Modal sandbox. This is useful for writing code, text, or any other content to a file in the sandbox. Parameters: - sandbox_id: ID of the target sandbox where code will be written - sandbox_path: Path where the code file should be created/written in the sandbox - content: Content to write to the file Returns a SandboxWriteCodeResponse containing: - success: Boolean indicating if code was written successfully - message: Descriptive message about the operation - file_path: Path where code was written in sandbox This tool is powerful for: - Rapid prototyping and code generation - Creating boilerplate code - Implementing algorithms from descriptions - Converting pseudocode to actual code - Generating test cases - Creating utility functions and helper code The tool will: 1. Verify the sandbox is running 2. Write content to specified path in sandbox 3. Handle errors and provide detailed feedback

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sandbox_idYes
sandbox_pathYes
contentYes

Implementation Reference

  • The main asynchronous handler function that implements the tool logic: fetches the sandbox, checks if running, writes content using a helper thread method, logs, and returns a success response.
    async def write_file_content_to_sandbox( self, sandbox_id:str, sandbox_path:str, content:str, ) -> SandboxWriteFileResponse: sandbox = await modal.Sandbox.from_id.aio(sandbox_id) sandbox_status = await sandbox.poll.aio() if sandbox_status is not None: raise ToolError(f"Sandbox {sandbox_id} is not running") # Write to sandbox using thread executor await self._write_sandbox_file_in_thread(sandbox, sandbox_path, content, "w") logger.info(f"Content written successfully to {sandbox_path}") return SandboxWriteFileResponse( success=True, message=f"Content written successfully to {sandbox_path}", file_path=sandbox_path, )
  • Tool registration in FastMCP, specifying name, description from ToolDescriptions, and binding the handler method.
    mcp_app.tool( name="write_file_content_to_sandbox", description=ToolDescriptions.WRITE_FILE_CONTENT_TO_SANDBOX, )(self.write_file_content_to_sandbox)
  • Pydantic BaseModel defining the output schema/response structure for the tool.
    class SandboxWriteFileResponse(BaseModel): success: bool message: str file_path: str
  • Helper function to synchronously write file content in a thread pool executor to avoid blocking the async event loop; used by the handler.
    async def _write_sandbox_file_in_thread(self, modal_sandbox, file_path: str, content, mode: str = 'wb'): def _sync_write(): with modal_sandbox.open(file_path, mode) as f: f.write(content) loop = asyncio.get_event_loop() return await loop.run_in_executor(self.thread_pool_executor, _sync_write)

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