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zitterbewegung/CVE_assistant_api.ipynb

Last active April 21, 2024 01:13
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Revisions

  1. zitterbewegung revised this gist Apr 21, 2024. No changes.
  2. zitterbewegung revised this gist Apr 21, 2024. No changes.
  3. zitterbewegung revised this gist Apr 21, 2024. 2 changed files with 0 additions and 0 deletions.
    0 openai_CVE_autohack.ipynb → CVE_assistant_api.ipynb
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    File renamed without changes.
    0 zero_days_llms.ipynb → CVE_langchain_api.ipynb
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    File renamed without changes.
  4. zitterbewegung created this gist Apr 21, 2024.
    249 changes: 249 additions & 0 deletions openai_CVE_autohack.ipynb
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    {
    "cells": [
    {
    "cell_type": "code",
    "execution_count": 1,
    "id": "880c83e5-599b-4763-a63b-7cd581b21ff0",
    "metadata": {},
    "outputs": [],
    "source": [
    "from openai import OpenAI\n",
    "client = OpenAI()\n",
    " \n",
    "assistant = client.beta.assistants.create(\n",
    " name=\"CVE implementor\",\n",
    " instructions=\"You are a cybersecurity analyist Write and run code to implement CVEs.\",\n",
    " tools=[{\"type\": \"code_interpreter\"}],\n",
    " model=\"gpt-4-turbo\",\n",
    ")\n",
    "\n",
    "thread = client.beta.threads.create()"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 1,
    "id": "adcc8541-e525-4c6a-bd88-9ab8c28cc748",
    "metadata": {},
    "outputs": [
    {
    "name": "stdout",
    "output_type": "stream",
    "text": [
    "Assistant Received: {\"output\": \"Hello, World!\\n\", \"errors\": \"\", \"exit_status\": 0}\n"
    ]
    }
    ],
    "source": [
    "import subprocess\n",
    "import json\n",
    "\n",
    "def execute_bash_command(command):\n",
    " \"\"\"\n",
    " Executes a Bash command in a safe manner and returns the output, errors, and exit status.\n",
    " \n",
    " Args:\n",
    " command (str): The Bash command to execute.\n",
    " \n",
    " Returns:\n",
    " dict: A dictionary containing the output, errors, and exit status.\n",
    " \"\"\"\n",
    " try:\n",
    " # Execute the command, capture output and error\n",
    " result = subprocess.run(command, shell=True, text=True, capture_output=True, check=False)\n",
    " \n",
    " return {\n",
    " \"output\": result.stdout,\n",
    " \"errors\": result.stderr,\n",
    " \"exit_status\": result.returncode\n",
    " }\n",
    " except Exception as e:\n",
    " return {\n",
    " \"output\": \"\",\n",
    " \"errors\": str(e),\n",
    " \"exit_status\": -1\n",
    " }\n",
    "\n",
    "def assistant_interact(command):\n",
    " \"\"\"\n",
    " This function simulates an interaction where the OpenAI Assistant sends a Bash command\n",
    " and receives a response which it can then parse or use in conversation.\n",
    " \n",
    " Args:\n",
    " command (str): A Bash command received from the OpenAI Assistant.\n",
    " \n",
    " Returns:\n",
    " str: A JSON string containing the output, errors, and exit status.\n",
    " \"\"\"\n",
    " result = execute_bash_command(command)\n",
    " return json.dumps(result)\n",
    "\n",
    "# Example interaction:\n",
    "if __name__ == \"__main__\":\n",
    " # Simulating a command sent by the OpenAI Assistant\n",
    " command_request = \"echo Hello, World!\"\n",
    " response = assistant_interact(command_request)\n",
    " print(\"Assistant Received:\", response)\n"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "id": "287dd94e-68fe-4f31-a97f-993658f13613",
    "metadata": {},
    "outputs": [],
    "source": [
    "# Step 1: Upgrade to Python SDK v1.2 with pip install --upgrade openai\n",
    "# Step 2: Install Tavily Python SDK with pip install tavily-python\n",
    "# Step 3: Build an OpenAI assistant with Python SDK documentation - https://platform.openai.com/docs/assistants/overview\n",
    "\n",
    "import os\n",
    "import json\n",
    "import time\n",
    "from openai import OpenAI\n",
    "from tavily import TavilyClient\n",
    "\n",
    "# Initialize clients with API keys\n",
    "client = OpenAI(api_key=os.environ[\"OPENAI_API_KEY\"])\n",
    "tavily_client = TavilyClient(api_key=os.environ[\"TAVILY_API_KEY\"])\n",
    "\n",
    "assistant_prompt_instruction = \"\"\"You are a finance expert. \n",
    "Your goal is to provide answers based on information from the internet. \n",
    "You must use the provided Tavily search API function to find relevant online information. \n",
    "You should never use your own knowledge to answer questions.\n",
    "Please include relevant url sources in the end of your answers.\n",
    "\"\"\"\n",
    "\n",
    "# Function to perform a Tavily search\n",
    "def tavily_search(query):\n",
    " search_result = tavily_client.get_search_context(query, search_depth=\"advanced\", max_tokens=8000)\n",
    " return search_result\n",
    "\n",
    "# Function to wait for a run to complete\n",
    "def wait_for_run_completion(thread_id, run_id):\n",
    " while True:\n",
    " time.sleep(1)\n",
    " run = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run_id)\n",
    " print(f\"Current run status: {run.status}\")\n",
    " if run.status in ['completed', 'failed', 'requires_action']:\n",
    " return run\n",
    "\n",
    "# Function to handle tool output submission\n",
    "def submit_tool_outputs(thread_id, run_id, tools_to_call):\n",
    " tool_output_array = []\n",
    " for tool in tools_to_call:\n",
    " output = None\n",
    " tool_call_id = tool.id\n",
    " function_name = tool.function.name\n",
    " function_args = tool.function.arguments\n",
    "\n",
    " if function_name == \"tavily_search\":\n",
    " output = tavily_search(query=json.loads(function_args)[\"query\"])\n",
    "\n",
    " if output:\n",
    " tool_output_array.append({\"tool_call_id\": tool_call_id, \"output\": output})\n",
    "\n",
    " return client.beta.threads.runs.submit_tool_outputs(\n",
    " thread_id=thread_id,\n",
    " run_id=run_id,\n",
    " tool_outputs=tool_output_array\n",
    " )\n",
    "\n",
    "# Function to print messages from a thread\n",
    "def print_messages_from_thread(thread_id):\n",
    " messages = client.beta.threads.messages.list(thread_id=thread_id)\n",
    " for msg in messages:\n",
    " print(f\"{msg.role}: {msg.content[0].text.value}\")\n",
    "\n",
    "# Create an assistant\n",
    "assistant = client.beta.assistants.create(\n",
    " instructions=assistant_prompt_instruction,\n",
    " model=\"gpt-4-1106-preview\",\n",
    " tools=[{\"type\": \"code_interpreter\"},{\"type\": \"execute_bash_command\"} {\n",
    " \"type\": \"function\",\n",
    " \"function\": {\n",
    " \"name\": \"tavily_search\",\n",
    " \"description\": \"Get information on recent events from the web.\",\n",
    " \"parameters\": {\n",
    " \"type\": \"object\",\n",
    " \"properties\": {\n",
    " \"query\": {\"type\": \"string\", \"description\": \"The search query to use. For example: 'Latest news on Nvidia stock performance'\"},\n",
    " },\n",
    " \"required\": [\"query\"]\n",
    " }\n",
    " }\n",
    " }]\n",
    ")\n",
    "assistant_id = assistant.id\n",
    "print(f\"Assistant ID: {assistant_id}\")\n",
    "\n",
    "# Create a thread\n",
    "thread = client.beta.threads.create()\n",
    "print(f\"Thread: {thread}\")\n",
    "\n"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "id": "2f00410a-f859-4e10-ae89-d38f3b39ff39",
    "metadata": {},
    "outputs": [],
    "source": [
    "# Ongoing conversation loop\n",
    "while True:\n",
    " user_input = input(\"You: \")\n",
    " if user_input.lower() == 'exit':\n",
    " break\n",
    "\n",
    " # Create a message\n",
    " message = client.beta.threads.messages.create(\n",
    " thread_id=thread.id,\n",
    " role=\"user\",\n",
    " content=user_input,\n",
    " )\n",
    "\n",
    " # Create a run\n",
    " run = client.beta.threads.runs.create(\n",
    " thread_id=thread.id,\n",
    " assistant_id=assistant_id,\n",
    " )\n",
    " print(f\"Run ID: {run.id}\")\n",
    "\n",
    " # Wait for run to complete\n",
    " run = wait_for_run_completion(thread.id, run.id)\n",
    "\n",
    " if run.status == 'failed':\n",
    " print(run.error)\n",
    " continue\n",
    " elif run.status == 'requires_action':\n",
    " run = submit_tool_outputs(thread.id, run.id, run.required_action.submit_tool_outputs.tool_calls)\n",
    " run = wait_for_run_completion(thread.id, run.id)\n",
    "\n",
    " # Print messages from the thread\n",
    " print_messages_from_thread(thread.id)"
    ]
    }
    ],
    "metadata": {
    "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
    },
    "language_info": {
    "codemirror_mode": {
    "name": "ipython",
    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.10.12"
    }
    },
    "nbformat": 4,
    "nbformat_minor": 5
    }
    331 changes: 331 additions & 0 deletions zero_days_llms.ipynb
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    {
    "cells": [
    {
    "cell_type": "code",
    "execution_count": 1,
    "id": "39d00988-5c3a-48b7-830a-0f22ebab5601",
    "metadata": {},
    "outputs": [
    {
    "name": "stdout",
    "output_type": "stream",
    "text": [
    "Note: you may need to restart the kernel to use updated packages.\n",
    "Note: you may need to restart the kernel to use updated packages.\n",
    "Note: you may need to restart the kernel to use updated packages.\n",
    "Note: you may need to restart the kernel to use updated packages.\n",
    "/bin/bash: line 1: npm: command not found\n"
    ]
    }
    ],
    "source": [
    "%pip install --upgrade --quiet langchain\n",
    "%pip install --quiet langchainhub\n",
    "%pip install --upgrade --quiet playwright > /dev/null\n",
    "%pip install --upgrade --quiet lxml\n",
    "%pip install ---upgrade --quiet pytest-playwright\n",
    "!npm init --silent playwright@latest"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 2,
    "id": "0d1c4048-17aa-4e57-99e9-0fde2bea485a",
    "metadata": {},
    "outputs": [
    {
    "name": "stdout",
    "output_type": "stream",
    "text": [
    "Downloading Chromium 124.0.6367.29 (playwright build v1112)\u001b[2m from https://playwright.azureedge.net/builds/chromium/1112/chromium-linux.zip\u001b[22m\n",
    "\u001b[1G155.3 MiB [ ] 0% 0.0s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 140.6s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 126.5s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 87.8s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 70.9s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 86.6s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 77.7s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 71.6s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 69.8s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 64.8s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 63.3s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 59.4s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 58.6s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 58.4s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 58.5s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 58.0s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 57.7s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 59.1s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 58.7s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 58.5s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 56.8s\u001b[0K\u001b[1G155.3 MiB [ ] 0% 56.6s\u001b[0K\u001b[1G155.3 MiB [ ] 1% 56.2s\u001b[0K\u001b[1G155.3 MiB [ ] 1% 54.5s\u001b[0K\u001b[1G155.3 MiB [ ] 1% 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    "Firefox 124.0 (playwright build v1447) downloaded to /home/r2q2/.cache/ms-playwright/firefox-1447\n",
    "Downloading Webkit 17.4 (playwright build v1992)\u001b[2m from https://playwright.azureedge.net/builds/webkit/1992/webkit-ubuntu-22.04.zip\u001b[22m\n",
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] 72% 1.5s\u001b[0K\u001b[1G86.5 MiB [=============== ] 72% 1.4s\u001b[0K\u001b[1G86.5 MiB [=============== ] 73% 1.4s\u001b[0K\u001b[1G86.5 MiB [=============== ] 74% 1.3s\u001b[0K\u001b[1G86.5 MiB [=============== ] 75% 1.3s\u001b[0K\u001b[1G86.5 MiB [=============== ] 76% 1.2s\u001b[0K\u001b[1G86.5 MiB [=============== ] 77% 1.2s\u001b[0K\u001b[1G86.5 MiB [================ ] 77% 1.2s\u001b[0K\u001b[1G86.5 MiB [================ ] 78% 1.1s\u001b[0K\u001b[1G86.5 MiB [================ ] 79% 1.1s\u001b[0K\u001b[1G86.5 MiB [================ ] 79% 1.0s\u001b[0K\u001b[1G86.5 MiB [================ ] 80% 1.0s\u001b[0K\u001b[1G86.5 MiB [================ ] 81% 1.0s\u001b[0K\u001b[1G86.5 MiB [================ ] 81% 0.9s\u001b[0K\u001b[1G86.5 MiB [================= ] 82% 0.9s\u001b[0K\u001b[1G86.5 MiB [================= ] 83% 0.9s\u001b[0K\u001b[1G86.5 MiB [================= ] 84% 0.8s\u001b[0K\u001b[1G86.5 MiB [================= ] 85% 0.8s\u001b[0K\u001b[1G86.5 MiB [================= ] 86% 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    "Webkit 17.4 (playwright build v1992) downloaded to /home/r2q2/.cache/ms-playwright/webkit-1992\n",
    "Playwright Host validation warning: \n",
    "╔══════════════════════════════════════════════════════╗\n",
    "║ Host system is missing dependencies to run browsers. ║\n",
    "║ Missing libraries: ║\n",
    "║ libgstcodecparsers-1.0.so.0 ║\n",
    "║ libflite.so.1 ║\n",
    "║ libflite_usenglish.so.1 ║\n",
    "║ libflite_cmu_grapheme_lang.so.1 ║\n",
    "║ libflite_cmu_grapheme_lex.so.1 ║\n",
    "║ libflite_cmu_indic_lang.so.1 ║\n",
    "║ libflite_cmu_indic_lex.so.1 ║\n",
    "║ libflite_cmulex.so.1 ║\n",
    "║ libflite_cmu_time_awb.so.1 ║\n",
    "║ libflite_cmu_us_awb.so.1 ║\n",
    "║ libflite_cmu_us_kal16.so.1 ║\n",
    "║ libflite_cmu_us_kal.so.1 ║\n",
    "║ libflite_cmu_us_rms.so.1 ║\n",
    "║ libflite_cmu_us_slt.so.1 ║\n",
    "║ libx264.so ║\n",
    "╚══════════════════════════════════════════════════════╝\n",
    " at validateDependenciesLinux \u001b[90m(/home/r2q2/tonei/\u001b[39m.venv/lib/python3.10/site-packages/playwright/driver/package/lib/server/registry/dependencies.js:216:9\u001b[90m)\u001b[39m\n",
    "\u001b[90m at process.processTicksAndRejections (node:internal/process/task_queues:95:5)\u001b[39m\n",
    " at async Registry._validateHostRequirements \u001b[90m(/home/r2q2/tonei/\u001b[39m.venv/lib/python3.10/site-packages/playwright/driver/package/lib/server/registry/index.js:587:43\u001b[90m)\u001b[39m\n",
    " at async Registry._validateHostRequirementsForExecutableIfNeeded \u001b[90m(/home/r2q2/tonei/\u001b[39m.venv/lib/python3.10/site-packages/playwright/driver/package/lib/server/registry/index.js:685:7\u001b[90m)\u001b[39m\n",
    " at async Registry.validateHostRequirementsForExecutablesIfNeeded \u001b[90m(/home/r2q2/tonei/\u001b[39m.venv/lib/python3.10/site-packages/playwright/driver/package/lib/server/registry/index.js:674:43\u001b[90m)\u001b[39m\n",
    " at async t.<anonymous> \u001b[90m(/home/r2q2/tonei/\u001b[39m.venv/lib/python3.10/site-packages/playwright/driver/package/lib/cli/program.js:119:7\u001b[90m)\u001b[39m\n"
    ]
    }
    ],
    "source": [
    "!playwright install"
    ]
    },
    {
    "cell_type": "raw",
    "id": "d3769cb9-bb5d-4c40-a5c7-8b6e00547baf",
    "metadata": {},
    "source": [
    "In this section, we describe our LLM agent that can exploit vulnerabilities. Our agent consists of a:\n",
    "\n",
    "1. base LLM,\n",
    "2. prompt,\n",
    "3. agent framework, and\n",
    "4. tools.\n",
    "We show a system diagram in Figure 1.\n",
    "\n",
    "We vary the base LLM in our evaluation, but note that only GPT-4 is capable of exploiting vulnerabilities in our dataset. Every other method fails.\n",
    "\n",
    "We use the ReAct agent framework as implemented in LangChain. For the OpenAI models, we use the Assistants API.\n",
    "\n",
    "We give the agent access to tools, including access to:\n",
    "\n",
    "1. web browsing elements (retrieving HTML, clicking on elements, etc.),\n",
    "2. a terminal,\n",
    "3. web search results,\n",
    "4. file creation and editing, and\n",
    "5. a code interpreter."
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 2,
    "id": "5693e427-e9db-429b-b2ff-a5df375c4b34",
    "metadata": {},
    "outputs": [],
    "source": [
    "from langchain import hub\n",
    "from langchain.agents import AgentExecutor, create_react_agent\n",
    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
    "from langchain_openai import OpenAI\n",
    "from langchain.agents import Tool\n",
    "from langchain_experimental.utilities import PythonREPL\n",
    "from langchain_community.tools import ShellTool\n",
    "# If this is your first time using playwright, you'll have to install a browser executable.\n",
    "# Running `playwright install` by default installs a chromium browser executable.\n",
    "# playwright install\n",
    "from langchain_community.agent_toolkits import PlayWrightBrowserToolkit\n",
    "\n",
    "from langchain_community.tools.playwright.utils import (\n",
    " create_async_playwright_browser, # A synchronous browser is available, though it isn't compatible with jupyter.\\n\", },\n",
    ")\n",
    "# This import is required only for jupyter notebooks, since they have their own eventloop\n",
    "import nest_asyncio\n"
    ]
    },
    {
    "cell_type": "markdown",
    "id": "9ca83b7a-2943-4687-957c-04f06b9daea5",
    "metadata": {},
    "source": [
    "# Tools"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 4,
    "id": "2799406b-be9a-4b8c-8ddb-799ddf29e2c7",
    "metadata": {},
    "outputs": [
    {
    "ename": "Error",
    "evalue": "BrowserType.launch: Executable doesn't exist at /home/r2q2/.cache/ms-playwright/chromium-1112/chrome-linux/chrome\n╔════════════════════════════════════════════════════════════╗\n║ Looks like Playwright was just installed or updated. ║\n║ Please run the following command to download new browsers: ║\n║ ║\n║ playwright install ║\n║ ║\n║ <3 Playwright Team ║\n╚════════════════════════════════════════════════════════════╝",
    "output_type": "error",
    "traceback": [
    "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
    "\u001b[0;31mError\u001b[0m Traceback (most recent call last)",
    "Cell \u001b[0;32mIn[4], line 5\u001b[0m\n\u001b[1;32m 1\u001b[0m tools \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 3\u001b[0m nest_asyncio\u001b[38;5;241m.\u001b[39mapply()\n\u001b[0;32m----> 5\u001b[0m async_browser \u001b[38;5;241m=\u001b[39m \u001b[43mcreate_async_playwright_browser\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6\u001b[0m toolkit \u001b[38;5;241m=\u001b[39m PlayWrightBrowserToolkit\u001b[38;5;241m.\u001b[39mfrom_browser(async_browser\u001b[38;5;241m=\u001b[39masync_browser)\n\u001b[1;32m 7\u001b[0m tools\u001b[38;5;241m.\u001b[39mappend(toolkit\u001b[38;5;241m.\u001b[39mget_tools())\n",
    "File \u001b[0;32m~/tonei/.venv/lib/python3.10/site-packages/langchain_community/tools/playwright/utils.py:69\u001b[0m, in \u001b[0;36mcreate_async_playwright_browser\u001b[0;34m(headless, args)\u001b[0m\n\u001b[1;32m 66\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mplaywright\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01masync_api\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m async_playwright\n\u001b[1;32m 68\u001b[0m browser \u001b[38;5;241m=\u001b[39m run_async(async_playwright()\u001b[38;5;241m.\u001b[39mstart())\n\u001b[0;32m---> 69\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrun_async\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbrowser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchromium\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlaunch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mheadless\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mheadless\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
    "File \u001b[0;32m~/tonei/.venv/lib/python3.10/site-packages/langchain_community/tools/playwright/utils.py:104\u001b[0m, in \u001b[0;36mrun_async\u001b[0;34m(coro)\u001b[0m\n\u001b[1;32m 95\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Run an async coroutine.\u001b[39;00m\n\u001b[1;32m 96\u001b[0m \n\u001b[1;32m 97\u001b[0m \u001b[38;5;124;03mArgs:\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 101\u001b[0m \u001b[38;5;124;03m T: The result of the coroutine.\u001b[39;00m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 103\u001b[0m event_loop \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mget_event_loop()\n\u001b[0;32m--> 104\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mevent_loop\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_until_complete\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcoro\u001b[49m\u001b[43m)\u001b[49m\n",
    "File \u001b[0;32m~/tonei/.venv/lib/python3.10/site-packages/nest_asyncio.py:98\u001b[0m, in \u001b[0;36m_patch_loop.<locals>.run_until_complete\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m f\u001b[38;5;241m.\u001b[39mdone():\n\u001b[1;32m 96\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m 97\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mEvent loop stopped before Future completed.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresult\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
    "File \u001b[0;32m/usr/lib/python3.10/asyncio/futures.py:201\u001b[0m, in \u001b[0;36mFuture.result\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__log_traceback \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 201\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception\u001b[38;5;241m.\u001b[39mwith_traceback(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_exception_tb)\n\u001b[1;32m 202\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\n",
    "File \u001b[0;32m/usr/lib/python3.10/asyncio/tasks.py:232\u001b[0m, in \u001b[0;36mTask.__step\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m 228\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 229\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m exc \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 230\u001b[0m \u001b[38;5;66;03m# We use the `send` method directly, because coroutines\u001b[39;00m\n\u001b[1;32m 231\u001b[0m \u001b[38;5;66;03m# don't have `__iter__` and `__next__` methods.\u001b[39;00m\n\u001b[0;32m--> 232\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mcoro\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msend\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 233\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 234\u001b[0m result \u001b[38;5;241m=\u001b[39m coro\u001b[38;5;241m.\u001b[39mthrow(exc)\n",
    "File \u001b[0;32m~/tonei/.venv/lib/python3.10/site-packages/playwright/async_api/_generated.py:13882\u001b[0m, in \u001b[0;36mBrowserType.launch\u001b[0;34m(self, executable_path, channel, args, ignore_default_args, handle_sigint, handle_sigterm, handle_sighup, timeout, env, headless, devtools, proxy, downloads_path, slow_mo, traces_dir, chromium_sandbox, firefox_user_prefs)\u001b[0m\n\u001b[1;32m 13767\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mlaunch\u001b[39m(\n\u001b[1;32m 13768\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 13769\u001b[0m \u001b[38;5;241m*\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 13790\u001b[0m ] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 13791\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBrowser\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 13792\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"BrowserType.launch\u001b[39;00m\n\u001b[1;32m 13793\u001b[0m \n\u001b[1;32m 13794\u001b[0m \u001b[38;5;124;03m Returns the browser instance.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 13878\u001b[0m \u001b[38;5;124;03m Browser\u001b[39;00m\n\u001b[1;32m 13879\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m 13881\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m mapping\u001b[38;5;241m.\u001b[39mfrom_impl(\n\u001b[0;32m> 13882\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_impl_obj\u001b[38;5;241m.\u001b[39mlaunch(\n\u001b[1;32m 13883\u001b[0m executablePath\u001b[38;5;241m=\u001b[39mexecutable_path,\n\u001b[1;32m 13884\u001b[0m channel\u001b[38;5;241m=\u001b[39mchannel,\n\u001b[1;32m 13885\u001b[0m args\u001b[38;5;241m=\u001b[39mmapping\u001b[38;5;241m.\u001b[39mto_impl(args),\n\u001b[1;32m 13886\u001b[0m ignoreDefaultArgs\u001b[38;5;241m=\u001b[39mmapping\u001b[38;5;241m.\u001b[39mto_impl(ignore_default_args),\n\u001b[1;32m 13887\u001b[0m handleSIGINT\u001b[38;5;241m=\u001b[39mhandle_sigint,\n\u001b[1;32m 13888\u001b[0m handleSIGTERM\u001b[38;5;241m=\u001b[39mhandle_sigterm,\n\u001b[1;32m 13889\u001b[0m handleSIGHUP\u001b[38;5;241m=\u001b[39mhandle_sighup,\n\u001b[1;32m 13890\u001b[0m timeout\u001b[38;5;241m=\u001b[39mtimeout,\n\u001b[1;32m 13891\u001b[0m env\u001b[38;5;241m=\u001b[39mmapping\u001b[38;5;241m.\u001b[39mto_impl(env),\n\u001b[1;32m 13892\u001b[0m headless\u001b[38;5;241m=\u001b[39mheadless,\n\u001b[1;32m 13893\u001b[0m devtools\u001b[38;5;241m=\u001b[39mdevtools,\n\u001b[1;32m 13894\u001b[0m proxy\u001b[38;5;241m=\u001b[39mproxy,\n\u001b[1;32m 13895\u001b[0m downloadsPath\u001b[38;5;241m=\u001b[39mdownloads_path,\n\u001b[1;32m 13896\u001b[0m slowMo\u001b[38;5;241m=\u001b[39mslow_mo,\n\u001b[1;32m 13897\u001b[0m tracesDir\u001b[38;5;241m=\u001b[39mtraces_dir,\n\u001b[1;32m 13898\u001b[0m chromiumSandbox\u001b[38;5;241m=\u001b[39mchromium_sandbox,\n\u001b[1;32m 13899\u001b[0m firefoxUserPrefs\u001b[38;5;241m=\u001b[39mmapping\u001b[38;5;241m.\u001b[39mto_impl(firefox_user_prefs),\n\u001b[1;32m 13900\u001b[0m )\n\u001b[1;32m 13901\u001b[0m )\n",
    "File \u001b[0;32m~/tonei/.venv/lib/python3.10/site-packages/playwright/_impl/_browser_type.py:94\u001b[0m, in \u001b[0;36mBrowserType.launch\u001b[0;34m(self, executablePath, channel, args, ignoreDefaultArgs, handleSIGINT, handleSIGTERM, handleSIGHUP, timeout, env, headless, devtools, proxy, downloadsPath, slowMo, tracesDir, chromiumSandbox, firefoxUserPrefs)\u001b[0m\n\u001b[1;32m 91\u001b[0m params \u001b[38;5;241m=\u001b[39m locals_to_params(\u001b[38;5;28mlocals\u001b[39m())\n\u001b[1;32m 92\u001b[0m normalize_launch_params(params)\n\u001b[1;32m 93\u001b[0m browser \u001b[38;5;241m=\u001b[39m cast(\n\u001b[0;32m---> 94\u001b[0m Browser, from_channel(\u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_channel\u001b[38;5;241m.\u001b[39msend(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlaunch\u001b[39m\u001b[38;5;124m\"\u001b[39m, params))\n\u001b[1;32m 95\u001b[0m )\n\u001b[1;32m 96\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_did_launch_browser(browser)\n\u001b[1;32m 97\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m browser\n",
    "File \u001b[0;32m~/tonei/.venv/lib/python3.10/site-packages/playwright/_impl/_connection.py:59\u001b[0m, in \u001b[0;36mChannel.send\u001b[0;34m(self, method, params)\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msend\u001b[39m(\u001b[38;5;28mself\u001b[39m, method: \u001b[38;5;28mstr\u001b[39m, params: Dict \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_connection\u001b[38;5;241m.\u001b[39mwrap_api_call(\n\u001b[1;32m 60\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minner_send(method, params, \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 61\u001b[0m )\n",
    "File \u001b[0;32m~/tonei/.venv/lib/python3.10/site-packages/playwright/_impl/_connection.py:513\u001b[0m, in \u001b[0;36mConnection.wrap_api_call\u001b[0;34m(self, cb, is_internal)\u001b[0m\n\u001b[1;32m 511\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m cb()\n\u001b[1;32m 512\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m error:\n\u001b[0;32m--> 513\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m rewrite_error(error, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mparsed_st[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mapiName\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00merror\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 514\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 515\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_api_zone\u001b[38;5;241m.\u001b[39mset(\u001b[38;5;28;01mNone\u001b[39;00m)\n",
    "\u001b[0;31mError\u001b[0m: BrowserType.launch: Executable doesn't exist at /home/r2q2/.cache/ms-playwright/chromium-1112/chrome-linux/chrome\n╔════════════════════════════════════════════════════════════╗\n║ Looks like Playwright was just installed or updated. ║\n║ Please run the following command to download new browsers: ║\n║ ║\n║ playwright install ║\n║ ║\n║ <3 Playwright Team ║\n╚════════════════════════════════════════════════════════════╝"
    ]
    }
    ],
    "source": [
    "tools = []\n",
    "\n",
    "nest_asyncio.apply()\n",
    "\n",
    "async_browser = create_async_playwright_browser()\n",
    "toolkit = PlayWrightBrowserToolkit.from_browser(async_browser=async_browser)\n",
    "tools.append(toolkit.get_tools())\n"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 7,
    "id": "d78b0047-67c4-4982-8abd-1d4248407397",
    "metadata": {},
    "outputs": [],
    "source": [
    "\n",
    "shell_tool = ShellTool()\n",
    "\n",
    "shell_tool.description = shell_tool.description + f\"args {shell_tool.args}\".replace(\n",
    " \"{\", \"{{\"\n",
    ").replace(\"}\", \"}}\")\n",
    "self_ask_with_search = initialize_agent(\n",
    " [shell_tool], llm, agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
    ")\n",
    "self_ask_with_search.run(\n",
    " \"Download the langchain.com webpage and grep for all urls. Return only a sorted list of them. Be sure to use double quotes.\"\n",
    ")\n",
    "tools.append(shell_tool)"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 3,
    "id": "eb6fe7cb-1203-4d8b-aa95-491eb0fa8abc",
    "metadata": {},
    "outputs": [],
    "source": [
    "tools.append([TavilySearchResults(max_results=1))"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "id": "9e97afa2-32c8-436a-a876-15130085dc0d",
    "metadata": {},
    "outputs": [],
    "source": []
    },
    {
    "cell_type": "code",
    "execution_count": 9,
    "id": "611a9a02-b85b-4d94-922e-3567088d8d67",
    "metadata": {},
    "outputs": [
    {
    "data": {
    "text/plain": [
    "[CopyFileTool(root_dir='/tmp/tmppf02o4_b'),\n",
    " DeleteFileTool(root_dir='/tmp/tmppf02o4_b'),\n",
    " FileSearchTool(root_dir='/tmp/tmppf02o4_b'),\n",
    " MoveFileTool(root_dir='/tmp/tmppf02o4_b'),\n",
    " ReadFileTool(root_dir='/tmp/tmppf02o4_b'),\n",
    " WriteFileTool(root_dir='/tmp/tmppf02o4_b'),\n",
    " ListDirectoryTool(root_dir='/tmp/tmppf02o4_b')]"
    ]
    },
    "execution_count": 9,
    "metadata": {},
    "output_type": "execute_result"
    }
    ],
    "source": [
    "from tempfile import TemporaryDirectory\n",
    "\n",
    "from langchain_community.agent_toolkits import FileManagementToolkit\n",
    "\n",
    "# We'll make a temporary directory to avoid clutter\n",
    "working_directory = TemporaryDirectory()\n",
    "toolkit = FileManagementToolkit(\n",
    " root_dir=str(working_directory.name)\n",
    ") # If you don't provide a root_dir, operations will default to the current working directory\n",
    "toolkit.get_tools()\n",
    "tools.extend(toolkit)"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 1,
    "id": "ff327c5c-0a0d-43e7-ad2f-d27c97a2d845",
    "metadata": {},
    "outputs": [],
    "source": [
    "import getpass\n",
    "import os\n",
    "\n",
    "# os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
    "# os.environ[\"LANGCHAIN_API_KEY\"] = getpass.getpass()"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": 8,
    "id": "6958d839-c555-4b5d-9640-a3da1b2e9672",
    "metadata": {},
    "outputs": [],
    "source": [
    "# Get the prompt to use - you can modify this!\n",
    "prompt = hub.pull(\"hwchase17/react\") #prompt is probably broken into system and user as well for this"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "id": "0744628c-121e-4c87-b5c5-5a72fcea05da",
    "metadata": {},
    "outputs": [],
    "source": [
    "# Choose the LLM to use\n",
    "llm = OpenAI()\n",
    "\n",
    "# Construct the ReAct agent\n",
    "agent = create_react_agent(llm, tools, prompt)"
    ]
    },
    {
    "cell_type": "code",
    "execution_count": null,
    "id": "115ebc53-7f10-43fd-a3a4-662c8bb050a4",
    "metadata": {},
    "outputs": [],
    "source": [
    "# Create an agent executor by passing in the agent and tools\n",
    "agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)"
    ]
    }
    ],
    "metadata": {
    "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
    },
    "language_info": {
    "codemirror_mode": {
    "name": "ipython",
    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.10.12"
    }
    },
    "nbformat": 4,
    "nbformat_minor": 5
    }