Automating macOS using Claude Computer Use

import asyncio import base64 import os import shlex import shutil from enum import StrEnum from pathlib import Path from typing import Literal, TypedDict from uuid import uuid4 from anthropic.types.beta import BetaToolComputerUse20241022Param from .base import BaseAnthropicTool, ToolError, ToolResult from .run import run OUTPUT_DIR = "/tmp/outputs" TYPING_DELAY_MS = 12 TYPING_GROUP_SIZE = 50 IMAGE_MAX_WIDTH = 1200 Action = Literal[ "key", "type", "mouse_move", "left_click", "left_click_drag", "right_click", "middle_click", "double_click", "screenshot", "cursor_position", ] class Resolution(TypedDict): width: int height: int class ScalingSource(StrEnum): COMPUTER = "computer" API = "api" class ComputerToolOptions(TypedDict): display_height_px: int display_width_px: int display_number: int | None def chunks(s: str, chunk_size: int) -> list[str]: return [s[i : i + chunk_size] for i in range(0, len(s), chunk_size)] class ComputerTool(BaseAnthropicTool): """ A tool that allows the agent to interact with the screen, keyboard, and mouse of the current computer. The tool parameters are defined by Anthropic and are not editable. """ name: Literal["computer"] = "computer" api_type: Literal["computer_20241022"] = "computer_20241022" width: int height: int display_num: int | None _screenshot_delay = 2.0 _scaling_enabled = True @property def options(self) -> ComputerToolOptions: width, height = self.scale_coordinates( ScalingSource.COMPUTER, self.width, self.height ) return { "display_width_px": width, "display_height_px": height, "display_number": self.display_num, } def to_params(self) -> BetaToolComputerUse20241022Param: return {"name": self.name, "type": self.api_type, **self.options} def __init__(self): super().__init__() self.width = int(os.getenv("WIDTH") or 0) self.height = int(os.getenv("HEIGHT") or 0) assert self.width and self.height, "WIDTH, HEIGHT must be set" if (display_num := os.getenv("DISPLAY_NUM")) is not None: self.display_num = int(display_num) self._display_prefix = f"DISPLAY=:{self.display_num} " else: self.display_num = None self._display_prefix = "" self.xdotool = f"{self._display_prefix}xdotool" async def __call__( self, *, action: Action, text: str | None = None, coordinate: tuple[int, int] | None = None, **kwargs, ): if action in ("mouse_move", "left_click_drag"): if coordinate is None: raise ToolError(f"coordinate is required for {action}") if text is not None: raise ToolError(f"text is not accepted for {action}") if not isinstance(coordinate, list) or len(coordinate) != 2: raise ToolError(f"{coordinate} must be a tuple of length 2") if not all(isinstance(i, int) and i >= 0 for i in coordinate): raise ToolError(f"{coordinate} must be a tuple of non-negative ints") x, y = self.scale_coordinates( ScalingSource.API, coordinate[0], coordinate[1] ) if action == "mouse_move": return await self.shell(f"cliclick m:{x},{y}") elif action == "left_click_drag": return await self.shell(f"cliclick dd:{x},{y}") if action in ("key", "type"): if text is None: raise ToolError(f"text is required for {action}") if coordinate is not None: raise ToolError(f"coordinate is not accepted for {action}") if not isinstance(text, str): raise ToolError(output=f"{text} must be a string") if action == "key": return await self.shell(f"cliclick kp:{text.lower()}") elif action == "type": results: list[ToolResult] = [] for chunk in chunks(text, TYPING_GROUP_SIZE): cmd = f"cliclick t:'{chunk}'" results.append(await self.shell(cmd, take_screenshot=False)) screenshot_base64 = (await self.screenshot()).base64_image return ToolResult( output="".join(result.output or "" for result in results), error="".join(result.error or "" for result in results), base64_image=screenshot_base64, ) if action in ( "left_click", "right_click", "double_click", "middle_click", "screenshot", "cursor_position", ): if text is not None: raise ToolError(f"text is not accepted for {action}") if coordinate is not None: raise ToolError(f"coordinate is not accepted for {action}") if action == "screenshot": return await self.screenshot() elif action == "cursor_position": result = await self.shell( f"cliclick p", take_screenshot=False, ) output = result.output or "" x, y = self.scale_coordinates( ScalingSource.COMPUTER, int(output.split("X=")[1].split("\n")[0]), int(output.split("Y=")[1].split("\n")[0]), ) return result.replace(output=f"X={x},Y={y}") else: click_arg = { "left_click": "c:.", "right_click": "rc:.", "middle_click": "tc:.", "double_click": "dc:.", }[action] return await self.shell(f"cliclick {click_arg}") raise ToolError(f"Invalid action: {action}") async def screenshot(self): """Take a screenshot of the current screen and return the base64 encoded image.""" output_dir = Path(OUTPUT_DIR) output_dir.mkdir(parents=True, exist_ok=True) path = output_dir / f"screenshot_{uuid4().hex}.png" screenshot_cmd = f"{self._display_prefix}screencapture {path}" result = await self.shell(screenshot_cmd, take_screenshot=False) if self._scaling_enabled: x, y = self.scale_coordinates( ScalingSource.COMPUTER, self.width, self.height ) await self.shell( f"convert {path} -resize {x}x{y}! {path}", take_screenshot=False ) if path.exists(): return result.replace( base64_image=base64.b64encode(path.read_bytes()).decode() ) raise ToolError(f"Failed to take screenshot: {result.error}") async def shell(self, command: str, take_screenshot=True) -> ToolResult: """Run a shell command and return the output, error, and optionally a screenshot.""" _, stdout, stderr = await run(command) base64_image = None if take_screenshot: # delay to let things settle before taking a screenshot await asyncio.sleep(self._screenshot_delay) base64_image = (await self.screenshot()).base64_image return ToolResult(output=stdout, error=stderr, base64_image=base64_image) def scale_coordinates(self, source: ScalingSource, x: int, y: int): """Scale coordinates to a target maximum resolution.""" if not self._scaling_enabled: return x, y ratio = self.width / self.height target_dimension = { "width": IMAGE_MAX_WIDTH, "height": IMAGE_MAX_WIDTH / ratio } # should be less than 1 x_scaling_factor = target_dimension["width"] / self.width y_scaling_factor = target_dimension["height"] / self.height if source == ScalingSource.API: if x > self.width or y > self.height: raise ToolError(f"Coordinates {x}, {y} are out of bounds") # scale up return round(x / x_scaling_factor), round(y / y_scaling_factor) # scale down return round(x * x_scaling_factor), round(y * y_scaling_factor)

pip install open-interpreter interpreter --os