From b07d67cf986811c1a4bcef47167b1dcc09a0e27f Mon Sep 17 00:00:00 2001 From: bigboateng Date: Wed, 2 Jul 2025 14:11:14 +0100 Subject: [PATCH] create cu python library --- .gitignore | 116 ++++++++++ README.md | 179 ++++++++++++++- __init__.py | 11 + agent.py | 175 +++++++++++++++ example.py | 128 +++++++++++ loop.py | 343 ++++++++++++++++++++++++++++ pyproject.toml | 44 ++++ tools/__init__.py | 13 ++ tools/base.py | 69 ++++++ tools/collection.py | 37 ++++ tools/computer.py | 413 ++++++++++++++++++++++++++++++++++ tools/groups.py | 44 ++++ uv.lock | 527 ++++++++++++++++++++++++++++++++++++++++++++ 13 files changed, 2098 insertions(+), 1 deletion(-) create mode 100644 .gitignore create mode 100644 __init__.py create mode 100644 agent.py create mode 100644 example.py create mode 100644 loop.py create mode 100644 pyproject.toml create mode 100644 tools/__init__.py create mode 100644 tools/base.py create mode 100644 tools/collection.py create mode 100644 tools/computer.py create mode 100644 tools/groups.py create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..97b9354 --- /dev/null +++ b/.gitignore @@ -0,0 +1,116 @@ +# Python +**/__pycache__/ +**/*.py[cod] +**/*$py.class +*.so +__init__.py.bak +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +**/*.egg-info/ +.installed.cfg +*.egg + +# Virtual Environment +venv/ +env/ +ENV/ +.venv/ + +# IDE +.idea/ +.vscode/ +*.swp +*.swo + +# Testing +.coverage +htmlcov/ +.pytest_cache/ +.tox/ + +# Distribution +*.tar.gz +*.zip + +# Logs +*.log + +# Local development +.env +.env.local +.env.*.local + +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +pip-wheel-metadata/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ + +# Virtual environments +venv/ +env/ +ENV/ + +# IDEs +.vscode/ +.idea/ +*.swp +*.swo \ No newline at end of file diff --git a/README.md b/README.md index 622810a..7d37d03 100644 --- a/README.md +++ b/README.md @@ -1 +1,178 @@ -# cu-playwright-python \ No newline at end of file +# Kernel Python Sample App - Computer Use + +This is a simple Kernel application that implements a prompt loop using Anthropic Computer Use. + +It generally follows the [Anthropic Reference Implementation](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo) but replaces `xodotool` and `gnome-screenshot` with Playwright. + +# cu-playwright-python + +Computer Use Agent for Python - Browser automation with Claude using Anthropic's Computer Use capabilities. + +This library provides a clean, simple interface to Anthropic's Computer Use capabilities, allowing Claude to interact with web pages through Playwright. It's the Python equivalent of [cu-playwright-ts](https://github.com/anthropics/cu-playwright-ts). + +## Features + +- 🤖 **AI-Powered Browser Automation**: Let Claude control web browsers with natural language +- 🎯 **Simple API**: Clean, intuitive interface for complex browser interactions +- 📊 **Structured Responses**: Get validated data back using Pydantic models +- 🛠️ **Built on Playwright**: Reliable browser automation underneath +- ⚡ **Async/Await**: Modern Python async support + +## Installation + +```bash +pip install cu-playwright-python +``` + +You'll also need to install Playwright browsers: + +```bash +playwright install chromium +``` + +## Quick Start + +```python +import asyncio +import os +from playwright.async_api import async_playwright +from cu_playwright_python import ComputerUseAgent + +async def main(): + # Set up your Anthropic API key + api_key = os.getenv("ANTHROPIC_API_KEY") + + async with async_playwright() as playwright: + browser = await playwright.chromium.launch(headless=False) + page = await browser.new_page() + + # Create agent + agent = ComputerUseAgent( + api_key=api_key, + page=page + ) + + # Navigate and interact + await page.goto("https://example.com") + result = await agent.execute("What is the title of this page?") + print(result) + + await browser.close() + +asyncio.run(main()) +``` + +## Usage + +### Basic Text Responses + +```python +# Simple queries return text +result = await agent.execute("Describe what you see on this page") +print(result) # "This page contains a header with..." +``` + +### Structured Data with Pydantic + +```python +from pydantic import BaseModel + +class ProductInfo(BaseModel): + name: str + price: float + in_stock: bool + +# Get structured data back +product = await agent.execute( + "Find the main product on this page and extract its details", + schema=ProductInfo +) +print(f"Product: {product.name}, Price: ${product.price}") +``` + +### Advanced Options + +```python +result = await agent.execute( + "Fill out the contact form with realistic data", + system_prompt_suffix="Be extra careful with form validation", + thinking_budget=2048 # More reasoning tokens +) +``` + +## API Reference + +### ComputerUseAgent + +The main class for browser automation with Claude. + +#### Constructor + +```python +ComputerUseAgent( + api_key: str, # Anthropic API key + page: Page, # Playwright page instance + model: str = "claude-sonnet-4-20250514" # Claude model to use +) +``` + +#### execute() + +Execute a computer use task with Claude. + +```python +async def execute( + query: str, # Task description + *, + schema: Optional[Type[BaseModel]] = None, # Pydantic model for structured responses + system_prompt_suffix: str = "", # Additional system instructions + thinking_budget: int = 1024 # Token budget for Claude's reasoning +) -> Union[str, BaseModel] +``` + +**Parameters:** +- `query`: Natural language description of what you want Claude to do +- `schema`: Optional Pydantic model class for structured responses +- `system_prompt_suffix`: Additional instructions appended to the system prompt +- `thinking_budget`: Token budget for Claude's internal reasoning process + +**Returns:** +- `str`: When no schema is provided +- `BaseModel`: Instance of the provided schema class when schema is specified + +## Examples + +See [example.py](example.py) for comprehensive usage examples including: + +- Basic page interactions +- Structured data extraction with Pydantic models +- Complex multi-step workflows +- Custom system prompts + +## Requirements + +- Python 3.9+ +- An Anthropic API key ([get one here](https://console.anthropic.com/)) +- Playwright browsers installed + +## Model Compatibility + +This library works with Anthropic's Computer Use compatible models: + +- `claude-sonnet-4-20250514` (recommended) +- Other Computer Use enabled models + +See [Anthropic's documentation](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/computer-use-tool#model-compatibility) for the latest model compatibility information. + +## Related Projects + +- [cu-playwright-ts](https://github.com/anthropics/cu-playwright-ts) - TypeScript version +- [Anthropic Computer Use Demo](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo) + +## License + +MIT - see [LICENSE](LICENSE) for details. + +## Contributing + +Contributions are welcome! Please feel free to submit a Pull Request. \ No newline at end of file diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..d562c86 --- /dev/null +++ b/__init__.py @@ -0,0 +1,11 @@ +""" +cu-playwright-python: Computer Use Agent for Python + +A Python library for automating browser interactions with Claude using Anthropic's Computer Use capabilities. +""" + +from .agent import ComputerUseAgent +from .tools import ToolVersion + +__version__ = "0.1.0" +__all__ = ["ComputerUseAgent", "ToolVersion"] diff --git a/agent.py b/agent.py new file mode 100644 index 0000000..0d8bd51 --- /dev/null +++ b/agent.py @@ -0,0 +1,175 @@ +""" +Computer Use Agent for automating browser interactions with Claude + +This agent provides a clean interface to Anthropic's Computer Use capabilities, +allowing Claude to interact with web pages through Playwright. + +See: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/computer-use-tool +""" + +import json +import re +from typing import Any, Dict, List, Optional, Type, TypeVar, Union +from playwright.async_api import Page +from pydantic import BaseModel, ValidationError + +from loop import sampling_loop + + +T = TypeVar("T", bound=BaseModel) + + +class ComputerUseAgent: + """ + Computer Use Agent for automating browser interactions with Claude + + This agent provides a clean interface to Anthropic's Computer Use capabilities, + allowing Claude to interact with web pages through Playwright. + + See: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/computer-use-tool + """ + + def __init__( + self, *, api_key: str, page: Page, model: str = "claude-sonnet-4-20250514" + ): + """ + Create a new ComputerUseAgent instance + + Args: + api_key: Anthropic API key (get one from https://console.anthropic.com/) + page: Playwright page instance to control + model: Anthropic model to use (defaults to claude-sonnet-4-20250514) + + See: https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/computer-use-tool#model-compatibility + """ + self.api_key = api_key + self.model = model + self.page = page + + async def execute( + self, + query: str, + schema: Optional[Type[T]] = None, + *, + system_prompt_suffix: str = "", + thinking_budget: int = 1024, + ) -> Union[str, T]: + """ + Execute a computer use task with Claude + + This method can return either text responses or structured data validated against a Pydantic schema. + + Args: + query: The task description for Claude to execute + schema: Optional Pydantic model class for structured responses + system_prompt_suffix: Additional instructions appended to the system prompt + thinking_budget: Token budget for Claude's internal reasoning (default: 1024) + + Returns: + Either a string (when no schema) or validated data of the schema type + + Example: + ```python + # Text response + result = await agent.execute('Tell me the page title') + + # Structured response + class UserInfo(BaseModel): + name: str + age: int + + data = await agent.execute( + 'Get user info', + UserInfo + ) + ``` + + See: https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking + """ + # Prepare query with schema instructions if schema is provided + final_query = query + if schema: + schema_json = schema.model_json_schema() + final_query = f"""{query} + +Please respond with a valid JSON object that matches this JSON Schema: +```json +{json.dumps(schema_json, indent=2)} +``` + +Respond ONLY with the JSON object, no additional text.""" + + # Execute the computer use loop + messages = await sampling_loop( + model=self.model, + messages=[ + { + "role": "user", + "content": final_query, + } + ], + api_key=self.api_key, + system_prompt_suffix=system_prompt_suffix, + thinking_budget=thinking_budget, + playwright_page=self.page, + ) + + if not messages: + raise ValueError("No response received") + + last_message = messages[-1] + if not last_message: + raise ValueError("No response received") + + response = self._extract_text_from_message(last_message) + + # If no schema provided, return string response + if not schema: + return response + + # Parse and validate structured response + parsed_data = self._parse_json_response(response) + return schema.model_validate(parsed_data) + + def _extract_text_from_message(self, message: Dict[str, Any]) -> str: + """Extract text content from a message""" + content = message.get("content", "") + + if isinstance(content, str): + return content + + if isinstance(content, list): + return "".join( + block.get("text", "") + for block in content + if isinstance(block, dict) and block.get("type") == "text" + ) + + return "" + + def _parse_json_response(self, response: str) -> Dict[str, Any]: + """Parse JSON from response text""" + # Example: "Here's the data:\n```json\n{\"name\": \"John\", \"age\": 30}\n```\nHope this helps!" + # Example: "```\n{\"status\": \"success\"}\n```" + json_match = re.search(r"```(?:json)?\s*\n?([\s\S]*?)\n?```", response) + if json_match: + try: + return json.loads(json_match.group(1).strip()) + except json.JSONDecodeError: + pass + + # Example: "The user data is {\"name\": \"John\", \"age\": 30} as requested." + # Example: "Result: {\"items\": [1, 2, 3], \"total\": 3}" + object_match = re.search(r"\{[\s\S]*\}", response) + if object_match: + try: + return json.loads(object_match.group(0)) + except json.JSONDecodeError: + pass + + # Example: "{\"name\": \"John\", \"age\": 30}" (clean JSON response) + # Example: " {\"status\": \"ok\"} " (JSON with whitespace) + try: + return json.loads(response.strip()) + except json.JSONDecodeError as e: + raise ValueError(f"Could not parse JSON from response: {e}") diff --git a/example.py b/example.py new file mode 100644 index 0000000..720db9c --- /dev/null +++ b/example.py @@ -0,0 +1,128 @@ +""" +Example usage of cu-playwright-python + +This example demonstrates how to use the ComputerUseAgent to automate browser interactions. +""" + +import asyncio +import os +from typing import List +from pydantic import BaseModel +from playwright.async_api import async_playwright + +from agent import ComputerUseAgent + + +class HackerNewsStory(BaseModel): + """Pydantic model for a Hacker News story""" + + title: str + points: int + author: str + comments: int + url: str = "" + + +class PageInfo(BaseModel): + """Pydantic model for page information""" + + title: str + total_stories: int + current_page: int + + +async def text_response_example(): + """Example of text responses""" + ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY") + if not ANTHROPIC_API_KEY: + raise ValueError("ANTHROPIC_API_KEY environment variable is required") + + async with async_playwright() as playwright: + browser = await playwright.chromium.launch(headless=False) + page = await browser.new_page() + await page.goto("https://news.ycombinator.com/") + + try: + print("\n=== Text Response Examples ===") + agent = ComputerUseAgent( + api_key=ANTHROPIC_API_KEY, + page=page, + ) + + # Text response with action + top_story = await agent.execute( + "Tell me the title of the top story on this page" + ) + print("Top story:", top_story) + + # Text response with multiple pieces of information + summary = await agent.execute( + "Give me a brief summary of the top 3 stories" + ) + print("Summary:", summary) + + except Exception as error: + print(f"Error in text response example: {error}") + finally: + await browser.close() + + +async def structured_response_example(): + """Example of structured responses with Pydantic models""" + ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY") + if not ANTHROPIC_API_KEY: + raise ValueError("ANTHROPIC_API_KEY environment variable is required") + + async with async_playwright() as playwright: + browser = await playwright.chromium.launch(headless=False) + page = await browser.new_page() + await page.goto("https://news.ycombinator.com/") + + try: + print("\n=== Structured Response Examples ===") + agent = ComputerUseAgent( + api_key=ANTHROPIC_API_KEY, + page=page, + ) + + # Get multiple stories with structured data + class StoriesList(BaseModel): + stories: List[HackerNewsStory] + + stories_data = await agent.execute( + "Get the top 5 stories with their titles, points, authors, and comment counts", + schema=StoriesList, + ) + print("Structured stories:") + for story in stories_data.stories[:5]: # Limit to 5 stories + print( + f" - {story.title} ({story.points} points by {story.author}, {story.comments} comments)" + ) + + # Get page information with structured data + page_info = await agent.execute( + "Get information about this page including its title, total number of stories visible, and current page number", + schema=PageInfo, + ) + print( + f"Page info: {page_info.title}, {page_info.total_stories} stories, page {page_info.current_page}" + ) + + except Exception as error: + print(f"Error in structured response example: {error}") + finally: + await browser.close() + + +async def run_examples(): + """Run all examples""" + print("Running Computer Use Agent Examples...") + + await text_response_example() + await structured_response_example() + + print("\nAll examples completed!") + + +if __name__ == "__main__": + asyncio.run(run_examples()) diff --git a/loop.py b/loop.py new file mode 100644 index 0000000..f575283 --- /dev/null +++ b/loop.py @@ -0,0 +1,343 @@ +""" +Agentic sampling loop that calls the Anthropic API and local implementation of anthropic-defined computer use tools. +From https://github.com/anthropics/anthropic-quickstarts/blob/main/computer-use-demo/computer_use_demo/loop.py +""" + +import os +import platform +from collections.abc import Callable +from datetime import datetime +from enum import StrEnum +from typing import Any, cast +from playwright.async_api import Page + +import httpx +from anthropic import ( + Anthropic, + AnthropicBedrock, + AnthropicVertex, + APIError, + APIResponseValidationError, + APIStatusError, +) +from anthropic.types.beta import ( + BetaCacheControlEphemeralParam, + BetaContentBlockParam, + BetaImageBlockParam, + BetaMessage, + BetaMessageParam, + BetaTextBlock, + BetaTextBlockParam, + BetaToolResultBlockParam, + BetaToolUseBlockParam, +) + +from tools import ( + TOOL_GROUPS_BY_VERSION, + ToolCollection, + ToolResult, + ToolVersion, +) + +PROMPT_CACHING_BETA_FLAG = "prompt-caching-2024-07-31" + + +class APIProvider(StrEnum): + ANTHROPIC = "anthropic" + + +# This system prompt is optimized for the Docker environment in this repository and +# specific tool combinations enabled. +# We encourage modifying this system prompt to ensure the model has context for the +# environment it is running in, and to provide any additional information that may be +# helpful for the task at hand. +SYSTEM_PROMPT = f""" +* You are utilising an Ubuntu virtual machine using {os.uname().machine} architecture with internet access. +* When you connect to the display, CHROMIUM IS ALREADY OPEN. The url bar is not visible but it is there. +* If you need to navigate to a new page, use ctrl+l to focus the url bar and then enter the url. +* You won't be able to see the url bar from the screenshot but ctrl-l still works. +* As the initial step click on the search bar. +* When viewing a page it can be helpful to zoom out so that you can see everything on the page. +* Either that, or make sure you scroll down to see everything before deciding something isn't available. +* When using your computer function calls, they take a while to run and send back to you. +* Where possible/feasible, try to chain multiple of these calls all into one function calls request. +* The current date is {datetime.now().strftime("%A, %B %d, %Y")}. +* After each step, take a screenshot and carefully evaluate if you have achieved the right outcome. +* Explicitly show your thinking: "I have evaluated step X..." If not correct, try again. +* Only when you confirm a step was executed correctly should you move on to the next one. + + + +* When using Chromium, if a startup wizard appears, IGNORE IT. Do not even click "skip this step". +* Instead, click on the search bar on the center of the screen where it says "Search or enter address", and enter the appropriate search term or URL there. +""" + + +async def sampling_loop( + *, + model: str, + messages: list[BetaMessageParam], + api_key: str, + provider: APIProvider = APIProvider.ANTHROPIC, + system_prompt_suffix: str = "", + only_n_most_recent_images: int | None = None, + max_tokens: int = 4096, + tool_version: ToolVersion = "computer_use_20250124", + thinking_budget: int | None = None, + token_efficient_tools_beta: bool = False, + playwright_page: Page, +): + """ + Agentic sampling loop for the assistant/tool interaction of computer use. + + Args: + model: The model to use for the API call + messages: The conversation history + api_key: The API key for authentication + provider: The API provider (defaults to ANTHROPIC) + system_prompt_suffix: Additional system prompt text (defaults to empty string) + only_n_most_recent_images: Optional limit on number of recent images to keep + max_tokens: Maximum tokens for the response (defaults to 4096) + tool_version: Version of tools to use (defaults to V20250124) + thinking_budget: Optional token budget for thinking + token_efficient_tools_beta: Whether to use token efficient tools beta + playwright_page: The Playwright page instance for browser automation + """ + tool_group = TOOL_GROUPS_BY_VERSION[tool_version] + tool_collection = ToolCollection( + *( + ToolCls( + page=( + playwright_page + if ToolCls.__name__.startswith("ComputerTool") + else None + ) + ) + for ToolCls in tool_group.tools + ) + ) + system = BetaTextBlockParam( + type="text", + text=f"{SYSTEM_PROMPT}{' ' + system_prompt_suffix if system_prompt_suffix else ''}", + ) + + while True: + enable_prompt_caching = False + betas = [tool_group.beta_flag] if tool_group.beta_flag else [] + if token_efficient_tools_beta: + betas.append("token-efficient-tools-2025-02-19") + image_truncation_threshold = only_n_most_recent_images or 0 + client = Anthropic(api_key=api_key, max_retries=4) + enable_prompt_caching = True + + if enable_prompt_caching: + betas.append(PROMPT_CACHING_BETA_FLAG) + _inject_prompt_caching(messages) + # Because cached reads are 10% of the price, we don't think it's + # ever sensible to break the cache by truncating images + only_n_most_recent_images = 0 + # Use type ignore to bypass TypedDict check until SDK types are updated + system["cache_control"] = {"type": "ephemeral"} # type: ignore + + if only_n_most_recent_images: + _maybe_filter_to_n_most_recent_images( + messages, + only_n_most_recent_images, + min_removal_threshold=image_truncation_threshold, + ) + extra_body = {} + if thinking_budget: + # Ensure we only send the required fields for thinking + extra_body = { + "thinking": {"type": "enabled", "budget_tokens": thinking_budget} + } + + # Call the API + response = client.beta.messages.create( + max_tokens=max_tokens, + messages=messages, + model=model, + system=[system], + tools=tool_collection.to_params(), + betas=betas, + extra_body=extra_body, + ) + + response_params = _response_to_params(response) + messages.append( + { + "role": "assistant", + "content": response_params, + } + ) + + loggable_content = [ + { + "text": block.get("text", "") or block.get("thinking", ""), + "input": block.get("input", ""), + } + for block in response_params + ] + print("=== LLM RESPONSE ===") + print("Stop reason:", response.stop_reason) + print(loggable_content) + print("===") + + if response.stop_reason == "end_turn": + print("LLM has completed its task, ending loop") + return messages + + tool_result_content: list[BetaToolResultBlockParam] = [] + for content_block in response_params: + if content_block["type"] == "tool_use": + result = await tool_collection.run( + name=content_block["name"], + tool_input=cast(dict[str, Any], content_block["input"]), + ) + tool_result_content.append( + _make_api_tool_result(result, content_block["id"]) + ) + + if not tool_result_content: + return messages + + messages.append({"content": tool_result_content, "role": "user"}) + + +def _maybe_filter_to_n_most_recent_images( + messages: list[BetaMessageParam], + images_to_keep: int, + min_removal_threshold: int, +): + """ + With the assumption that images are screenshots that are of diminishing value as + the conversation progresses, remove all but the final `images_to_keep` tool_result + images in place, with a chunk of min_removal_threshold to reduce the amount we + break the implicit prompt cache. + """ + if images_to_keep is None: + return messages + + tool_result_blocks = cast( + list[BetaToolResultBlockParam], + [ + item + for message in messages + for item in ( + message["content"] if isinstance(message["content"], list) else [] + ) + if isinstance(item, dict) and item.get("type") == "tool_result" + ], + ) + + total_images = sum( + 1 + for tool_result in tool_result_blocks + for content in tool_result.get("content", []) + if isinstance(content, dict) and content.get("type") == "image" + ) + + images_to_remove = total_images - images_to_keep + # for better cache behavior, we want to remove in chunks + images_to_remove -= images_to_remove % min_removal_threshold + + for tool_result in tool_result_blocks: + if isinstance(tool_result.get("content"), list): + new_content = [] + for content in tool_result.get("content", []): + if isinstance(content, dict) and content.get("type") == "image": + if images_to_remove > 0: + images_to_remove -= 1 + continue + new_content.append(content) + tool_result["content"] = new_content + + +def _response_to_params( + response: BetaMessage, +) -> list[BetaContentBlockParam]: + res: list[BetaContentBlockParam] = [] + for block in response.content: + if isinstance(block, BetaTextBlock): + if block.text: + res.append(BetaTextBlockParam(type="text", text=block.text)) + elif getattr(block, "type", None) == "thinking": + # Handle thinking blocks - include signature field + thinking_block = { + "type": "thinking", + "thinking": getattr(block, "thinking", None), + } + if hasattr(block, "signature"): + thinking_block["signature"] = getattr(block, "signature", None) + res.append(cast(BetaContentBlockParam, thinking_block)) + else: + # Handle tool use blocks normally + res.append(cast(BetaToolUseBlockParam, block.model_dump())) + return res + + +def _inject_prompt_caching( + messages: list[BetaMessageParam], +): + """ + Set cache breakpoints for the 3 most recent turns + one cache breakpoint is left for tools/system prompt, to be shared across sessions + """ + + breakpoints_remaining = 3 + for message in reversed(messages): + if message["role"] == "user" and isinstance( + content := message["content"], list + ): + if breakpoints_remaining: + breakpoints_remaining -= 1 + # Use type ignore to bypass TypedDict check until SDK types are updated + content[-1]["cache_control"] = BetaCacheControlEphemeralParam( # type: ignore + {"type": "ephemeral"} + ) + else: + content[-1].pop("cache_control", None) + # we'll only every have one extra turn per loop + break + + +def _make_api_tool_result( + result: ToolResult, tool_use_id: str +) -> BetaToolResultBlockParam: + """Convert an agent ToolResult to an API ToolResultBlockParam.""" + tool_result_content: list[BetaTextBlockParam | BetaImageBlockParam] | str = [] + is_error = False + if result.error: + is_error = True + tool_result_content = _maybe_prepend_system_tool_result(result, result.error) + else: + if result.output: + tool_result_content.append( + { + "type": "text", + "text": _maybe_prepend_system_tool_result(result, result.output), + } + ) + if result.base64_image: + tool_result_content.append( + { + "type": "image", + "source": { + "type": "base64", + "media_type": "image/png", + "data": result.base64_image, + }, + } + ) + return { + "type": "tool_result", + "content": tool_result_content, + "tool_use_id": tool_use_id, + "is_error": is_error, + } + + +def _maybe_prepend_system_tool_result(result: ToolResult, result_text: str): + if result.system: + result_text = f"{result.system}\n{result_text}" + return result_text diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..c907943 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,44 @@ +[project] +name = "cu-playwright-python" +version = "0.1.0" +description = "Computer Use Agent for Python - Browser automation with Claude using Anthropic's Computer Use capabilities" +requires-python = ">=3.9" +authors = [ + { name = "Anthropic Computer Use Team" } +] +readme = "README.md" +license = { text = "MIT" } +keywords = ["anthropic", "claude", "computer-use", "browser-automation", "playwright", "ai-agent"] +classifiers = [ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Topic :: Software Development :: Libraries :: Python Modules", + "Topic :: Internet :: WWW/HTTP :: Browsers", +] +dependencies = [ + "anthropic~=0.52.1", + "playwright~=1.52.0", + "python-dateutil~=2.8.2", + "pydantic~=2.11.5", + "typing-extensions~=4.13.2", + "httpx~=0.27.0", +] + +[project.urls] +Homepage = "https://github.com/anthropics/cu-playwright-python" +Repository = "https://github.com/anthropics/cu-playwright-python" +Documentation = "https://github.com/anthropics/cu-playwright-python#readme" +Issues = "https://github.com/anthropics/cu-playwright-python/issues" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["cu_playwright_python"] diff --git a/tools/__init__.py b/tools/__init__.py new file mode 100644 index 0000000..3d8ff73 --- /dev/null +++ b/tools/__init__.py @@ -0,0 +1,13 @@ +from .base import ToolResult +from .collection import ToolCollection +from .computer import ComputerTool20241022, ComputerTool20250124 +from .groups import TOOL_GROUPS_BY_VERSION, ToolVersion + +__ALL__ = [ + ComputerTool20241022, + ComputerTool20250124, + ToolCollection, + ToolResult, + ToolVersion, + TOOL_GROUPS_BY_VERSION, +] diff --git a/tools/base.py b/tools/base.py new file mode 100644 index 0000000..3d73054 --- /dev/null +++ b/tools/base.py @@ -0,0 +1,69 @@ +""" +From https://github.com/anthropics/anthropic-quickstarts/blob/main/computer-use-demo/computer_use_demo/tools/base.py +""" + +from abc import ABCMeta, abstractmethod +from dataclasses import dataclass, fields, replace +from typing import Any + +from anthropic.types.beta import BetaToolUnionParam + + +class BaseAnthropicTool(metaclass=ABCMeta): + """Abstract base class for Anthropic-defined tools.""" + + @abstractmethod + def __call__(self, **kwargs) -> Any: + """Executes the tool with the given arguments.""" + ... + + @abstractmethod + def to_params( + self, + ) -> BetaToolUnionParam: + raise NotImplementedError + + +@dataclass(kw_only=True, frozen=True) +class ToolResult: + """Represents the result of a tool execution.""" + + output: str | None = None + error: str | None = None + base64_image: str | None = None + system: str | None = None + + def __bool__(self): + return any(getattr(self, field.name) for field in fields(self)) + + def __add__(self, other: "ToolResult"): + def combine_fields( + field: str | None, other_field: str | None, concatenate: bool = True + ): + if field and other_field: + if concatenate: + return field + other_field + raise ValueError("Cannot combine tool results") + return field or other_field + + return ToolResult( + output=combine_fields(self.output, other.output), + error=combine_fields(self.error, other.error), + base64_image=combine_fields(self.base64_image, other.base64_image, False), + system=combine_fields(self.system, other.system), + ) + + def replace(self, **kwargs): + """Returns a new ToolResult with the given fields replaced.""" + return replace(self, **kwargs) + + +class ToolFailure(ToolResult): + """A ToolResult that represents a failure.""" + + +class ToolError(Exception): + """Raised when a tool encounters an error.""" + + def __init__(self, message): + self.message = message diff --git a/tools/collection.py b/tools/collection.py new file mode 100644 index 0000000..4691d3e --- /dev/null +++ b/tools/collection.py @@ -0,0 +1,37 @@ +""" +Collection classes for managing multiple tools. +From https://github.com/anthropics/anthropic-quickstarts/blob/main/computer-use-demo/computer_use_demo/tools/collection.py +""" + +from typing import Any + +from anthropic.types.beta import BetaToolUnionParam + +from .base import ( + BaseAnthropicTool, + ToolError, + ToolFailure, + ToolResult, +) + + +class ToolCollection: + """A collection of anthropic-defined tools.""" + + def __init__(self, *tools: BaseAnthropicTool): + self.tools = tools + self.tool_map = {tool.to_params()["name"]: tool for tool in tools} + + def to_params( + self, + ) -> list[BetaToolUnionParam]: + return [tool.to_params() for tool in self.tools] + + async def run(self, *, name: str, tool_input: dict[str, Any]) -> ToolResult: + tool = self.tool_map.get(name) + if not tool: + return ToolFailure(error=f"Tool {name} is invalid") + try: + return await tool(**tool_input) + except ToolError as e: + return ToolFailure(error=e.message) diff --git a/tools/computer.py b/tools/computer.py new file mode 100644 index 0000000..406c30e --- /dev/null +++ b/tools/computer.py @@ -0,0 +1,413 @@ +""" +Modified from https://github.com/anthropics/anthropic-quickstarts/blob/main/computer-use-demo/computer_use_demo/tools/computer.py +Replaces xdotool and gnome-screenshot with Playwright. +""" + +import asyncio +import base64 +import os +from enum import StrEnum +from typing import Literal, TypedDict, cast, get_args + +from playwright.async_api import Page + +from anthropic.types.beta import BetaToolComputerUse20241022Param, BetaToolUnionParam + +from .base import BaseAnthropicTool, ToolError, ToolResult + +TYPING_DELAY_MS = 12 +TYPING_GROUP_SIZE = 50 + +# Map alternative names to standard Playwright modifier keys +MODIFIER_KEY_MAP = { + "ctrl": "Control", + "alt": "Alt", + "cmd": "Meta", + "command": "Meta", + "win": "Meta", +} + +# Essential key mappings for Playwright compatibility +KEY_MAP = { + "return": "Enter", + "space": " ", + "left": "ArrowLeft", + "right": "ArrowRight", + "up": "ArrowUp", + "down": "ArrowDown", + "home": "Home", + "end": "End", + "pageup": "PageUp", + "page_up": "PageUp", + "pagedown": "PageDown", + "page_down": "PageDown", + "delete": "Delete", + "backspace": "Backspace", + "tab": "Tab", + "esc": "Escape", + "escape": "Escape", + "insert": "Insert", + "super_l": "Meta", + "f1": "F1", + "f2": "F2", + "f3": "F3", + "f4": "F4", + "f5": "F5", + "f6": "F6", + "f7": "F7", + "f8": "F8", + "f9": "F9", + "f10": "F10", + "f11": "F11", + "f12": "F12", + "minus": "-", + "equal": "=", + "plus": "+", +} + +Action_20241022 = Literal[ + "key", + "type", + "mouse_move", + "left_click", + "left_click_drag", + "right_click", + "middle_click", + "double_click", + "screenshot", + "cursor_position", +] + +Action_20250124 = ( + Action_20241022 + | Literal[ + "left_mouse_down", + "left_mouse_up", + "scroll", + "hold_key", + "wait", + "triple_click", + ] +) + +ScrollDirection = Literal["up", "down", "left", "right"] + +# Map Playwright mouse buttons to our actions +MOUSE_BUTTONS = { + "left_click": "left", + "right_click": "right", + "middle_click": "middle", +} + + +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 BaseComputerTool: + """ + A tool that allows the agent to interact with the screen, keyboard, and mouse using Playwright. + The tool parameters are defined by Anthropic and are not editable. + """ + + name: Literal["computer"] = "computer" + width: int = 1280 + height: int = 720 + display_num: int | None = None + page: Page | None = None + + _screenshot_delay = 2.0 + + @property + def options(self) -> ComputerToolOptions: + return { + "display_width_px": self.width, + "display_height_px": self.height, + "display_number": self.display_num, + } + + def __init__(self, page: Page | None = None): + super().__init__() + self.page = page + + def validate_coordinates( + self, coordinate: tuple[int, int] | list[int] | None = None + ) -> tuple[int, int] | None: + """Validate that coordinates are non-negative integers and convert lists to tuples if needed.""" + if coordinate is None: + return None + + # Convert list to tuple if needed + if isinstance(coordinate, list): + coordinate = tuple(coordinate) + + if not isinstance(coordinate, tuple) or len(coordinate) != 2: + raise ToolError(f"{coordinate} must be a tuple or list of length 2") + + x, y = coordinate + if not isinstance(x, int) or not isinstance(y, int) or x < 0 or y < 0: + raise ToolError( + f"{coordinate} must be a tuple or list of non-negative ints" + ) + + return coordinate + + def map_key(self, key: str) -> str: + """Map a key to its Playwright equivalent.""" + # Handle modifier keys + if key.lower() in MODIFIER_KEY_MAP: + return MODIFIER_KEY_MAP[key.lower()] + + # Handle special keys + if key.lower() in KEY_MAP: + return KEY_MAP[key.lower()] + + # Handle key combinations (e.g. "ctrl+a") + if "+" in key: + parts = key.split("+") + if len(parts) == 2: + modifier, main_key = parts + mapped_modifier = MODIFIER_KEY_MAP.get(modifier.lower(), modifier) + mapped_key = KEY_MAP.get(main_key.lower(), main_key) + return f"{mapped_modifier}+{mapped_key}" + + # Return the key as is if no mapping exists + return key + + async def __call__( + self, + *, + action: Action_20241022, + text: str | None = None, + coordinate: tuple[int, int] | list[int] | None = None, + **kwargs, + ): + if not self.page: + raise ToolError("Playwright page not initialized") + + 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}") + + coordinate = self.validate_coordinates(coordinate) + x, y = coordinate + + if action == "mouse_move": + await self.page.mouse.move(x, y) + return await self.screenshot() + elif action == "left_click_drag": + await self.page.mouse.down(button="left") + await self.page.mouse.move(x, y) + await self.page.mouse.up(button="left") + return await self.screenshot() + + 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": + mapped_key = self.map_key(text) + await self.page.keyboard.press(mapped_key) + return await self.screenshot() + elif action == "type": + results: list[ToolResult] = [] + for chunk in chunks(text, TYPING_GROUP_SIZE): + await self.page.keyboard.type(chunk, delay=TYPING_DELAY_MS) + results.append(await self.screenshot()) + return ToolResult( + output="".join(result.output or "" for result in results), + error="".join(result.error or "" for result in results), + base64_image=results[-1].base64_image if results else None, + ) + + 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 action == "screenshot": + return await self.screenshot() + elif action == "cursor_position": + # Playwright doesn't provide a direct way to get cursor position + # We'll return a placeholder since this isn't critical functionality + return ToolResult(output="Cursor position not available in Playwright") + else: + if coordinate is not None: + coordinate = self.validate_coordinates(coordinate) + x, y = coordinate + await self.page.mouse.move(x, y) + + if action == "double_click": + await self.page.mouse.dblclick(x, y) + else: + await self.page.mouse.click(x, y, button=MOUSE_BUTTONS[action]) + return await self.screenshot() + + raise ToolError(f"Invalid action: {action}") + + async def screenshot(self): + """Take a screenshot using Playwright and return the base64 encoded image.""" + if not self.page: + raise ToolError("Playwright page not initialized") + + # Take screenshot using Playwright and get the buffer directly + screenshot_bytes = await self.page.screenshot(type="png") + return ToolResult(base64_image=base64.b64encode(screenshot_bytes).decode()) + + +class ComputerTool20241022(BaseComputerTool, BaseAnthropicTool): + api_type: Literal["computer_20241022"] = "computer_20241022" + + def to_params(self) -> BetaToolComputerUse20241022Param: + return {"name": self.name, "type": self.api_type, **self.options} + + +class ComputerTool20250124(BaseComputerTool, BaseAnthropicTool): + api_type: Literal["computer_20250124"] = "computer_20250124" + + def to_params(self): + return cast( + BetaToolUnionParam, + {"name": self.name, "type": self.api_type, **self.options}, + ) + + async def __call__( + self, + *, + action: Action_20250124, + text: str | None = None, + coordinate: tuple[int, int] | list[int] | None = None, + scroll_direction: ScrollDirection | None = None, + scroll_amount: int | None = None, + duration: int | float | None = None, + key: str | None = None, + **kwargs, + ): + if not self.page: + raise ToolError("Playwright page not initialized") + + if action in ("left_mouse_down", "left_mouse_up"): + if coordinate is not None: + raise ToolError(f"coordinate is not accepted for {action=}.") + if action == "left_mouse_down": + await self.page.mouse.down(button="left") + else: + await self.page.mouse.up(button="left") + return await self.screenshot() + + if action == "scroll": + if scroll_direction is None or scroll_direction not in get_args( + ScrollDirection + ): + raise ToolError( + f"{scroll_direction=} must be 'up', 'down', 'left', or 'right'" + ) + if not isinstance(scroll_amount, int) or scroll_amount < 0: + raise ToolError(f"{scroll_amount=} must be a non-negative int") + + if coordinate is not None: + coordinate = self.validate_coordinates(coordinate) + x, y = coordinate + await self.page.mouse.move(x, y) + + # Map scroll directions to Playwright's wheel events + page_dimensions = await self.page.evaluate( + "() => Promise.resolve({ h: window.innerHeight, w: window.innerWidth })" + ) + page_partitions = 25 + scroll_factor = scroll_amount / page_partitions + page_width = page_dimensions["w"] + page_height = page_dimensions["h"] + + delta_x = 0 + delta_y = 0 + if scroll_direction == "up": + delta_y = -scroll_factor * page_height + elif scroll_direction == "down": + delta_y = scroll_factor * page_height + elif scroll_direction == "left": + delta_x = -scroll_factor * page_width + elif scroll_direction == "right": + delta_x = scroll_factor * page_width + + print( + f"Scrolling {abs(delta_x) if delta_x != 0 else abs(delta_y):.02f} pixels {scroll_direction}" + ) + + await self.page.mouse.wheel(delta_x=delta_x, delta_y=delta_y) + return await self.screenshot() + + if action in ("hold_key", "wait"): + if duration is None or not isinstance(duration, (int, float)): + raise ToolError(f"{duration=} must be a number") + if duration < 0: + raise ToolError(f"{duration=} must be non-negative") + if duration > 100: + raise ToolError(f"{duration=} is too long.") + + if action == "hold_key": + if text is None: + raise ToolError(f"text is required for {action}") + mapped_key = self.map_key(text) + await self.page.keyboard.down(mapped_key) + await asyncio.sleep(duration) + await self.page.keyboard.up(mapped_key) + return await self.screenshot() + + if action == "wait": + await asyncio.sleep(duration) + return await self.screenshot() + + if action in ( + "left_click", + "right_click", + "double_click", + "triple_click", + "middle_click", + ): + if text is not None: + raise ToolError(f"text is not accepted for {action}") + + if coordinate is not None: + coordinate = self.validate_coordinates(coordinate) + x, y = coordinate + await self.page.mouse.move(x, y) + + if key: + mapped_key = self.map_key(key) + await self.page.keyboard.down(mapped_key) + + if action == "triple_click": + # Playwright doesn't have triple click, so we'll simulate it + await self.page.mouse.click(x, y, click_count=3) + elif action == "double_click": + await self.page.mouse.dblclick(x, y) + else: + await self.page.mouse.click(x, y, button=MOUSE_BUTTONS[action]) + + if key: + await self.page.keyboard.up(mapped_key) + + return await self.screenshot() + + return await super().__call__( + action=action, text=text, coordinate=coordinate, key=key, **kwargs + ) diff --git a/tools/groups.py b/tools/groups.py new file mode 100644 index 0000000..2fc714b --- /dev/null +++ b/tools/groups.py @@ -0,0 +1,44 @@ +""" +From https://github.com/anthropics/anthropic-quickstarts/blob/main/computer-use-demo/computer_use_demo/tools/groups.py +""" + +from dataclasses import dataclass +from typing import Literal + +from .base import BaseAnthropicTool +from .computer import ComputerTool20241022, ComputerTool20250124 + +ToolVersion = Literal[ + "computer_use_20250124", "computer_use_20241022", "computer_use_20250429" +] +BetaFlag = Literal[ + "computer-use-2024-10-22", "computer-use-2025-01-24", "computer-use-2025-04-29" +] + + +@dataclass(frozen=True, kw_only=True) +class ToolGroup: + version: ToolVersion + tools: list[type[BaseAnthropicTool]] + beta_flag: BetaFlag | None = None + + +TOOL_GROUPS: list[ToolGroup] = [ + ToolGroup( + version="computer_use_20241022", + tools=[ComputerTool20241022], + beta_flag="computer-use-2024-10-22", + ), + ToolGroup( + version="computer_use_20250124", + 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