Pip Install Loop

[remriel]

⚠️ Search for existing issues first ⚠️

• [X] I have searched the existing issues, and there is no existing issue for my problem

Which Operating System are you using?

Windows

Which version of Auto-GPT are you using?

Latest Release

GPT-3 or GPT-4?

GPT-3.5

Steps to reproduce 🕹

Tries to run pip install command The command runs successfully Tries to run script again, module still missing error Gets stuck in pip install loop

in this case, it tries to install and run Flask

"No module named 'flask'"

Current behavior 😯

No response

Expected behavior 🤔

No response

Your prompt 📝

ai_goals:
- Retrieve earnings reports for today's date for companies over $50 billion market cap
- Use OpenAI API to summarize and create detailed analyses of each earnings report
- Generate a visualized report for each company with key metrics and insights
- Summarize earnings call transcripts and analyze sentiment.
- Provide a company trajectory based on the data, including trends over time and predictions
- Create a web interface to display the reports with visualizations of the data
- Continuously review and analyze your actions to ensure you are performing to the best of your abilities. 
- Reflect on past decisions and strategies to refine your approach. 
- Write all code to a file.
- Save all output to a file.
- You can find API keys in my environment variables
ai_name: EarningsBot
ai_role: write code for a Python web app for analyzing company earnings reports, earnings call sentiment, and creating visualizations
api_budget: 0.0

Your Logs 📒

REASONING:  Flask is a popular web framework for Python, and we need it to run the web interface.
PLAN:
-  Install Flask using pip
-  Run the Python script to create the web interface
-  Access the web interface in a web browser
CRITICISM:  I need to make sure that Flask is installed correctly and that the web interface is running correctly.
NEXT ACTION:  COMMAND = execute_shell ARGUMENTS = {'command_line': 'pip install flask'}
  Executing command 'pip install flask' in working directory 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace'
SYSTEM:  Command execute_shell returned: STDOUT: b'Requirement already satisfied: flask in c:\\python311\\lib\\site-packages (2.2.3)\r\nRequirement already satisfied: Werkzeug>=2.2.2 in c:\\python311\\lib\\site-packages (from flask) (2.2.3)\r\nRequirement already satisfied: Jinja2>=3.0 in c:\\python311\\lib\\site-packages (from flask) (3.1.2)\r\nRequirement already satisfied: itsdangerous>=2.0 in c:\\python311\\lib\\site-packages (from flask) (2.1.2)\r\nRequirement already satisfied: click>=8.0 in c:\\python311\\lib\\site-packages (from flask) (8.1.3)\r\nRequirement already satisfied: colorama in c:\\python311\\lib\\site-packages (from click>=8.0->flask) (0.4.6)\r\nRequirement already satisfied: MarkupSafe>=2.0 in c:\\python311\\lib\\site-packages (from Jinja2>=3.0->flask) (2.1.2)\r\n' STDERR: b''
 THOUGHTS:  Flask has been installed successfully. We can now run the Python script to create the web interface.
REASONING:  We have installed Flask, which is a popular web framework for Python, and we can now use it to run the web interface.
PLAN:
-  Run the Python script to create the web interface
-  Access the web interface in a web browser
CRITICISM:  I need to make sure that the web interface is running correctly and that the data we retrieve is accurate.
NEXT ACTION:  COMMAND = execute_python_file ARGUMENTS = {'filename': 'D:\\GPT\\AutoGPT_experimental\\autogpt\\auto_gpt_workspace\\create_web_interface.py'}
  Executing file 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\create_web_interface.py'
  Image 'python:3-alpine' found locally
SYSTEM:  Command execute_python_file returned: Traceback (most recent call last): File "/workspace/create_web_interface.py", line 1, in <module> from flask import Flask, render_template ModuleNotFoundError: No module named 'flask'
 THOUGHTS:  The web interface failed to run because Flask is not installed. We need to install Flask to run the web interface.
REASONING:  Flask is a popular web framework for Python, and we need it to run the web interface.
PLAN:
-  Install Flask using pip
-  Run the Python script to create the web interface
-  Access the web interface in a web browser
CRITICISM:  I need to make sure that Flask is installed correctly and that the web interface is running correctly.
NEXT ACTION:  COMMAND = execute_shell ARGUMENTS = {'command_line': 'pip install flask'}
  Executing command 'pip install flask' in working directory 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace'
SYSTEM:  Command execute_shell returned: STDOUT: b'Requirement already satisfied: flask in c:\\python311\\lib\\site-packages (2.2.3)\r\nRequirement already satisfied: Werkzeug>=2.2.2 in c:\\python311\\lib\\site-packages (from flask) (2.2.3)\r\nRequirement already satisfied: Jinja2>=3.0 in c:\\python311\\lib\\site-packages (from flask) (3.1.2)\r\nRequirement already satisfied: itsdangerous>=2.0 in c:\\python311\\lib\\site-packages (from flask) (2.1.2)\r\nRequirement already satisfied: click>=8.0 in c:\\python311\\lib\\site-packages (from flask) (8.1.3)\r\nRequirement already satisfied: colorama in c:\\python311\\lib\\site-packages (from click>=8.0->flask) (0.4.6)\r\nRequirement already satisfied: MarkupSafe>=2.0 in c:\\python311\\lib\\site-packages (from Jinja2>=3.0->flask) (2.1.2)\r\n' STDERR: b''
 THOUGHTS:  Flask has been installed successfully. We can now run the Python script to create the web interface.
REASONING:  We have installed Flask, which is a popular web framework for Python, and we can now use it to run the web interface.
PLAN:
-  Run the Python script to create the web interface
-  Access the web interface in a web browser
CRITICISM:  I need to make sure that the web interface is running correctly and that the data we retrieve is accurate.
NEXT ACTION:  COMMAND = execute_python_file ARGUMENTS = {'filename': 'D:\\GPT\\AutoGPT_experimental\\autogpt\\auto_gpt_workspace\\create_web_interface.py'}
  Executing file 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\create_web_interface.py'
  Image 'python:3-alpine' found locally
SYSTEM:  Command execute_python_file returned: Traceback (most recent call last): File "/workspace/create_web_interface.py", line 1, in <module> from flask import Flask, render_template ModuleNotFoundError: No module named 'flask'
 THOUGHTS:  The web interface failed to run because Flask is not installed. We need to install Flask to run the web interface.
REASONING:  Flask is a popular web framework for Python, and we need it to run the web interface.
PLAN:
-  Install Flask using pip
-  Run the Python script to create the web interface
-  Access the web interface in a web browser
CRITICISM:  I need to make sure that Flask is installed correctly and that the web interface is running correctly.
NEXT ACTION:  COMMAND = execute_shell ARGUMENTS = {'command_line': 'pip install flask'}
  Executing command 'pip install flask' in working directory 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace'
SYSTEM:  Command execute_shell returned: STDOUT: b'Requirement already satisfied: flask in c:\\python311\\lib\\site-packages (2.2.3)\r\nRequirement already satisfied: Werkzeug>=2.2.2 in c:\\python311\\lib\\site-packages (from flask) (2.2.3)\r\nRequirement already satisfied: Jinja2>=3.0 in c:\\python311\\lib\\site-packages (from flask) (3.1.2)\r\nRequirement already satisfied: itsdangerous>=2.0 in c:\\python311\\lib\\site-packages (from flask) (2.1.2)\r\nRequirement already satisfied: click>=8.0 in c:\\python311\\lib\\site-packages (from flask) (8.1.3)\r\nRequirement already satisfied: colorama in c:\\python311\\lib\\site-packages (from click>=8.0->flask) (0.4.6)\r\nRequirement already satisfied: MarkupSafe>=2.0 in c:\\python311\\lib\\site-packages (from Jinja2>=3.0->flask) (2.1.2)\r\n' STDERR: b''
\ Thinking...

[bfalans]

I get the same error, but for pandas. Pandas is installed(checked and verified), but auto-gpt does not seem to read the message stating it is already installed or docker image is missing the imports or such. It starts with trying to execute a python file in my opinion which then triggers unresolvable import. Trying to get it working now to find the error

[remriel]

Still occurring with latest build. I tried with and without Docker, it happens in both

Looks like there are multiple reports as well https://github.com/Significant-Gravitas/Auto-GPT/issues/1513 https://github.com/Significant-Gravitas/Auto-GPT/issues/3698 https://github.com/Significant-Gravitas/Auto-GPT/issues/3704

I noticed it creates the Docker container to run the pip command then it deletes the container. I'm not 100% sure how docker works, but doesn't the container store the files it just installed with pip? So if it deletes the container, then it also deletes the module it installed?

[ppetermann]

no - especially not when started with -rm; if you want to add something that should happen in the dockerfile, not during runtime you can in theory use docker commit to create a new image from that container, but really, you should be doing the installing in the Dockerfile - and to do this cleanly you should have your own Dockerfile that extends the official image, you can see an example on how to here: https://github.com/ppetermann/Auto-GPT-DockerSetup if you look at the Dockerfile you see how it extends the image.

[remriel]

So put it into the requirements.txt? But I don't know every module that may be needed, that's why I'm using AutoGPT so it can find and install the modules it needs.

Here's an example of requests failing. Requests is included in requirements.txt so why is it trying to install it again?

2023-05-02 12:04:45,199 INFO REASONING: Running the Python script will allow me to gather the specific information I need to analyze the factors that contributed to each company's financial performance. Using the 'analyze_code' command will allow me to quickly and easily analyze the data and identify any market trends or industry dynamics that may have impacted each company's financial performance. 2023-05-02 12:04:45,747 INFO PLAN: 2023-05-02 12:04:45,828 INFO - Use 'execute_python_file' command to run the Python script and scrape relevant information from the website 2023-05-02 12:04:46,143 INFO - Use 'analyze_code' command to analyze the data and identify any market trends or industry dynamics that may have impacted each company's financial performance 2023-05-02 12:04:46,646 INFO CRITICISM: I need to ensure that the Python script I created is accurate and that the information I gather is relevant and up-to-date. I also need to ensure that the 'analyze_code' command is able to accurately analyze the data and identify any relevant market trends or industry dynamics. 2023-05-02 12:04:47,199 INFO NEXT ACTION: COMMAND = execute_python_file ARGUMENTS = {'filename': 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\scrape_website.py'} 2023-05-02 12:04:47,423 INFO Executing file 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\scrape_website.py' 2023-05-02 12:04:47,454 INFO Image 'python:3-alpine' not found locally, pulling from Docker Hub 2023-05-02 12:04:50,189 INFO Pulling from library/python 2023-05-02 12:04:50,576 INFO Pulling fs layer 2023-05-02 12:04:50,576 INFO Pulling fs layer 2023-05-02 12:04:50,579 INFO Pulling fs layer 2023-05-02 12:04:50,579 INFO Pulling fs layer 2023-05-02 12:04:50,579 INFO Pulling fs layer 2023-05-02 12:04:50,581 INFO Waiting 2023-05-02 12:04:50,582 INFO Waiting 2023-05-02 12:04:51,254 INFO Downloading: [> ] 7.563kB/622.2kB 2023-05-02 12:04:51,266 INFO Downloading: [> ] 34.78kB/3.375MB 2023-05-02 12:04:51,303 INFO Downloading: [> ] 127.2kB/12.46MB 2023-05-02 12:04:51,353 INFO Downloading: [===============================================> ] 585kB/622.2kB 2023-05-02 12:04:51,355 INFO Verifying Checksum 2023-05-02 12:04:51,355 INFO Download complete 2023-05-02 12:04:51,371 INFO Downloading: [========> ] 605.5kB/3.375MB 2023-05-02 12:04:51,410 INFO Downloading: [=====> ] 1.305MB/12.46MB 2023-05-02 12:04:51,470 INFO Downloading: [===============================> ] 2.149MB/3.375MB 2023-05-02 12:04:51,514 INFO Downloading: [===========> ] 2.878MB/12.46MB 2023-05-02 12:04:51,547 INFO Downloading: [==================================================>] 3.375MB/3.375MB 2023-05-02 12:04:51,548 INFO Download complete 2023-05-02 12:04:51,560 INFO Extracting: [> ] 65.54kB/3.375MB 2023-05-02 12:04:51,617 INFO Downloading: [==================> ] 4.574MB/12.46MB 2023-05-02 12:04:51,734 INFO Downloading: [==========================> ] 6.544MB/12.46MB 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requests ModuleNotFoundError: No module named 'requests'

2023-05-02 12:05:30,477 INFO THOUGHTS: It seems that the Python script I created requires the 'requests' module, which is not currently installed. I can use the 'execute_python_file' command to install the 'requests' module using pip and then run the Python script to scrape relevant information from the website. 2023-05-02 12:05:31,075 INFO REASONING: Installing the 'requests' module will allow me to use the Python script I created to scrape relevant information from the website. Using the 'execute_python_file' command to install the module and run the script will allow me to complete the task quickly and efficiently. 2023-05-02 12:05:31,554 INFO PLAN: 2023-05-02 12:05:31,605 INFO - Use 'execute_python_file' command to install the 'requests' module using pip 2023-05-02 12:05:31,848 INFO - Use 'execute_python_file' command to run the Python script and scrape relevant information from the website 2023-05-02 12:05:32,219 INFO - Use 'analyze_code' command to analyze the data and identify any market trends or industry dynamics that may have impacted each company's financial performance 2023-05-02 12:05:32,712 INFO CRITICISM: I need to ensure that the 'requests' module is installed correctly and that the Python script I created is accurate and that the information I gather is relevant and up-to-date. I also need to ensure that the 'analyze_code' command is able to accurately analyze the data and identify any relevant market trends or industry dynamics. 2023-05-02 12:05:33,296 INFO NEXT ACTION: COMMAND = execute_python_file ARGUMENTS = {'filename': 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\install_requests.py'} 2023-05-02 12:05:33,584 INFO Executing file 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\install_requests.py' 2023-05-02 12:05:33,585 INFO SYSTEM: Command execute_python_file returned: Error: File 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\install_requests.py' does not exist. 2023-05-02 12:05:58,758 INFO THOUGHTS: I need to create a new Python script that will install the 'requests' module using pip. I can use the 'write_to_file' command to create the new Python script. 2023-05-02 12:05:59,193 INFO REASONING: Creating a new Python script will allow me to install the 'requests' module using pip. Using the 'write_to_file' command will allow me to create the new Python script quickly and easily. 2023-05-02 12:05:59,807 INFO PLAN: 2023-05-02 12:05:59,856 INFO - Use 'write_to_file' command to create a new Python script that will install the 'requests' module using pip 2023-05-02 12:06:00,203 INFO CRITICISM: I need to ensure that the Python script I create is accurate and that the 'requests' module is installed correctly. 2023-05-02 12:06:00,786 INFO NEXT ACTION: COMMAND = write_to_file ARGUMENTS = {'filename': 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\install_requests.py', 'text': "# Python script to install the 'requests' module using pip\n\nimport os\n\nos.system('pip install requests')"} 2023-05-02 12:06:01,257 INFO SYSTEM: Command write_to_file returned: File written to successfully. 2023-05-02 12:06:40,956 INFO THOUGHTS: Now that I have created the new Python script to install the 'requests' module using pip, I can use the 'execute_python_file' command to run the script and install the module. Once the module is installed, I can use the 'execute_python_file' command to run the Python script to scrape relevant information from the website. 2023-05-02 12:06:41,604 INFO REASONING: Running the Python script to install the 'requests' module using pip will allow me to use the Python script I created to scrape relevant information from the website. Using the 'execute_python_file' command to install the module and run the script will allow me to complete the task quickly and efficiently. 2023-05-02 12:06:42,261 INFO PLAN: 2023-05-02 12:06:42,346 INFO - Use 'execute_python_file' command to install the 'requests' module using pip 2023-05-02 12:06:42,660 INFO - Use 'execute_python_file' command to run the Python script and scrape relevant information from the website 2023-05-02 12:06:43,049 INFO - Use 'analyze_code' command to analyze the data and identify any market trends or industry dynamics that may have impacted each company's financial performance 2023-05-02 12:06:43,545 INFO CRITICISM: I need to ensure that the 'requests' module is installed correctly and that the Python script I created is accurate and that the information I gather is relevant and up-to-date. I also need to ensure that the 'analyze_code' command is able to accurately analyze the data and identify any relevant market trends or industry dynamics. 2023-05-02 12:06:44,197 INFO NEXT ACTION: COMMAND = execute_python_file ARGUMENTS = {'filename': 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\install_requests.py'} 2023-05-02 12:06:44,444 INFO Executing file 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\install_requests.py' 2023-05-02 12:06:44,478 WARNING Image 'python:3-alpine' found locally 2023-05-02 12:06:55,033 INFO SYSTEM: Command execute_python_file returned: Collecting requests Downloading requests-2.29.0-py3-none-any.whl (62 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.5/62.5 kB 954.1 kB/s eta 0:00:00 Collecting charset-normalizer<4,>=2 Downloading charset_normalizer-3.1.0-cp311-cp311-musllinux_1_1_x86_64.whl (190 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 191.0/191.0 kB 3.9 MB/s eta 0:00:00 Collecting idna<4,>=2.5 Downloading idna-3.4-py3-none-any.whl (61 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 61.5/61.5 kB 2.2 MB/s eta 0:00:00 Collecting urllib3<1.27,>=1.21.1 Downloading urllib3-1.26.15-py2.py3-none-any.whl (140 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 140.9/140.9 kB 3.9 MB/s eta 0:00:00 Collecting certifi>=2017.4.17 Downloading certifi-2022.12.7-py3-none-any.whl (155 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.3/155.3 kB 5.3 MB/s eta 0:00:00 Installing collected packages: urllib3, idna, charset-normalizer, certifi, requests Successfully installed certifi-2022.12.7 charset-normalizer-3.1.0 idna-3.4 requests-2.29.0 urllib3-1.26.15 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

[notice] A new release of pip available: 22.3.1 -> 23.1.2 [notice] To update, run: pip install --upgrade pip

2023-05-02 12:07:35,802 INFO THOUGHTS: Now that I have installed the 'requests' module using pip, I can use the 'execute_python_file' command to run the Python script I created to scrape relevant information from the website. Once I have gathered the information, I can use the 'analyze_code' command to analyze the data and identify any market trends or industry dynamics that may have impacted each company's financial performance. 2023-05-02 12:07:36,441 INFO REASONING: Using the 'execute_python_file' command to run the Python script I created will allow me to scrape relevant information from the website. Using the 'analyze_code' command to analyze the data will allow me to identify any market trends or industry dynamics that may have impacted each company's financial performance. 2023-05-02 12:07:37,010 INFO PLAN: 2023-05-02 12:07:37,095 INFO - Use 'execute_python_file' command to run the Python script and scrape relevant information from the website 2023-05-02 12:07:37,456 INFO - Use 'analyze_code' command to analyze the data and identify any market trends or industry dynamics that may have impacted each company's financial performance 2023-05-02 12:07:37,945 INFO CRITICISM: I need to ensure that the Python script I created is accurate and that the information I gather is relevant and up-to-date. I also need to ensure that the 'analyze_code' command is able to accurately analyze the data and identify any relevant market trends or industry dynamics. 2023-05-02 12:07:38,632 INFO NEXT ACTION: COMMAND = execute_python_file ARGUMENTS = {'filename': 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\scrape_website.py'} 2023-05-02 12:07:38,878 INFO Executing file 'D:\GPT\AutoGPT_experimental\autogpt\auto_gpt_workspace\scrape_website.py' 2023-05-02 12:07:38,916 WARNING Image 'python:3-alpine' found locally 2023-05-02 12:07:40,340 INFO SYSTEM: Command execute_python_file returned: Traceback (most recent call last): File "/workspace/scrape_website.py", line 3, in import requests ModuleNotFoundError: No module named 'requests'

[ppetermann]

quick reading your log: whenever its running a python script is spawning an instance of the python:3-alpine container, so each time you get a fresh container.

[VladoPortos]

Yea, Im stuck at the same issue, it want to run python code in docker, but is unable to install modules it needs.

[Joshfindit]

This is by design:

https://github.com/Significant-Gravitas/Auto-GPT/blob/ea080500494ccfeb1ea3503cb476d81857ebf83d/autogpt/commands/execute_code.py#L17-L19

I feel like the intention was to create more tooling around managing dependencies but it's just not there. I can understand the choice as it is objectively safer for users if AutoGPT's python execution is limited to a sandbox.

If you look at https://github.com/Significant-Gravitas/Auto-GPT/blob/ea080500494ccfeb1ea3503cb476d81857ebf83d/autogpt/commands/execute_code.py#L70-L73 you'll see that execute_python doesn't even have the ability to write files.

[RandomInternetPreson]

I'm having the exact same issue. AutoGPT knows the dependency is missing, yet exits the docker and then runs pip install outside the docker and inside the working directory.

[RandomInternetPreson]

I had AutoGPT rewrite its own execute_code.py file to use the command window instead.

import os
import subprocess
from pathlib import Path

def execute_python_file(filename: str) -> str:
    """Execute a Python file using the command prompt and return the output

    Args:
        filename (str): The name of the file to execute

    Returns:
        str: The output of the file
    """
    print(f"Executing file '{filename}'")

    if not filename.endswith(".py"):
        return "Error: Invalid file type. Only .py files are allowed."

    if not os.path.isfile(filename):
        return f"Error: File '{filename}' does not exist."

    current_dir = os.getcwd()
    os.chdir(os.path.dirname(os.path.abspath(filename)))
    result = subprocess.run(f"python {filename}", capture_output=True, encoding="utf8", shell=True)
    os.chdir(current_dir)
    if result.returncode == 0:
        return result.stdout
    else:
        return f"Error: {result.stderr}"

[RandomInternetPreson]

Update to the previous post, this code works better and now I don't need a docker at all so when AutoGPT pips something it can actually use it. Warning Warning Warning, use at your own risk, AutoGPT wrote this code, I tested it and it works.

replace the contents of execute_code.py with the code to use it

The code will execute python code in the windows command prompt instead of a docker. I asked AutoGPT to do this because it kept getting stuck in pip install loops.

import os
import subprocess
from pathlib import Path

from autogpt.commands.command import command
from autogpt.config import Config
from autogpt.logs import logger

CFG = Config()

@command("execute_python_file", "Execute Python File", '"filename": "<filename>"')
def execute_python_file(filename: str) -> str:
    logger.info(f"Executing file '{filename}'")

    if not filename.endswith(".py"):
        return "Error: Invalid file type. Only .py files are allowed."

    if not os.path.isfile(filename):
        return f"Error: File '{filename}' does not exist."

    result = subprocess.run(
        f"python {filename}", capture_output=True, encoding="utf8", shell=True
    )
    if result.returncode == 0:
        return result.stdout
    else:
        return f"Error: {result.stderr}"

@command(
    "execute_shell",
    "Execute Shell Command, non-interactive commands only",
    '"command_line": "<command_line>"',
    CFG.execute_local_commands,
    "You are not allowed to run local shell commands. To execute"
    " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
    "in your config. Do not attempt to bypass the restriction.",
)
def execute_shell(command_line: str) -> str:
    logger.info(
        f"Executing command '{command_line}' in working directory '{os.getcwd()}'"
    )

    result = subprocess.run(command_line, capture_output=True, shell=True)
    output = f"STDOUT:\n{result.stdout}\nSTDERR:\n{result.stderr}"

    return output

@command(
    "execute_shell_popen",
    "Execute Shell Command, non-interactive commands only",
    '"command_line": "<command_line>"',
    CFG.execute_local_commands,
    "You are not allowed to run local shell commands. To execute"
    " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
    "in your config. Do not attempt to bypass the restriction.",
)
def execute_shell_popen(command_line) -> str:
    logger.info(
        f"Executing command '{command_line}' in working directory '{os.getcwd()}'"
    )

    do_not_show_output = subprocess.DEVNULL
    process = subprocess.Popen(
        command_line, shell=True, stdout=do_not_show_output, stderr=do_not_show_output
    )

    return f"Subprocess started with PID:'{str(process.pid)}'"

[jonasherfort]

I'm on a mac using Docker, by giving the docker superuser privileges when running I no longer have this issue.

The docker run code I used for reference: sudo docker-compose run --rm auto-gpt

[remriel]

I actually run AutoGPT through PsExec which gives it system privileges on Windows. I'm still running into this issue from time to time, both with and without Docker.

[bfalans]

duplicate of #4453 fix on the way