Getting this error in ai.py when try to run the example:

Traceback (most recent call last):
File "main.py", line 6, in
from ai import AI
File "/workspace/AI/gpt-engineer/ai.py", line 4, in
class AI:
File "/workspace/AI/gpt-engineer/ai.py", line 30, in AI
def next(self, messages: list[dict[str, str]], prompt=None):
TypeError: 'type' object is not subscriptable

Line 30:

def next(self, messages: list[dict[str, str]], prompt=None):
        if prompt:
            messages = messages + [{"role": "user", "content": prompt}]

        response = openai.ChatCompletion.create(
            messages=messages, stream=True, **self.kwargs
        )

        chat = []
        for chunk in response:
            delta = chunk['choices'][0]['delta']
            msg = delta.get('content', '')
            print(msg, end="")
            chat.append(msg)
        return messages + [{"role": "assistant", "content": "".join(chat)}]

I'm using python 3.9

It seems to not be able to create a folder called templates in the workspace. I was able to create one manually and then restart the whole process.

│ ╭─────────────────────────────────────────── locals ───────────────────────────────────────────╮ │
│ │ key = 'templates/index.html' │ │
│ │ self = <db.DB object at 0x0000020342D50850> │ │
│ │ val = '\n\n\n \n <meta │ │
│ │ nam'+2029 │ │
│ ╰──────────────────────────────────────────────────────────────────────────────────────────────╯ │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\navy\Desktop\gpt-engineer\my-new-project\workspace\templates\index.html'

running on MacOS I get this error at the end of the output of the generated code:

Traceback (most recent call last):

  File "/Users/admin/Projects/gpt-engineer/main.py", line 51, in <module>
    app()

  File "/Users/admin/Projects/gpt-engineer/main.py", line 46, in chat
    messages = step(ai, dbs)

  File "/Users/admin/Projects/gpt-engineer/steps.py", line 55, in run_clarified
    to_files(messages[-1]['content'], dbs.workspace)

  File "/Users/admin/Projects/gpt-engineer/chat_to_files.py", line 27, in to_files
    workspace[file_name] = file_content

  File "/Users/admin/Projects/gpt-engineer/db.py", line 17, in __setitem__
    with open(self.path / key, 'w') as f:

IsADirectoryError: [Errno 21] Is a directory: '/Users/admin/Projects/gpt-engineer/voice-assistant/workspace'

Can you help?

Would you specify a license please?

jai pas de problkeme

I'm wondering if it's possible to enable the "gpt-engineer" to access the web for searching documentations.

It says that my quota i exceeded even tho i have a lot to still use

During the clarification of creating a chatbot like ChatGPT, I get to: "No."

does it works on gpt 3.5

Any idea?

It's always good to have a backup plan.

Where does the api key go?

I can't get the export command to work, so an alternative solution like using an extern file or hardcoding the api in the code would be a nice solution. I personally created an external json config file and parsed the api key from that to the python script.

So a solution could be:

1. Make a json file named "config.json"
2. Inside of ai.py add:

import json

def get_api_key(file_name: str) -> str:
    with open(file_name, 'r') as f:
        config = json.load(f)
    return config['openai_api_key']

3. Inside of config.json add:

{
    "openai_api_key": "your_api_key"
}

4. In the init part of the AI class add:

class AI:
    def __init__(self, **kwargs):
        openai.api_key = get_api_key("config.json")
        self.kwargs = kwargs

The program exits with this error:
openai.error.InvalidRequestError: The model gpt-3 does not exist

I was previously getting the same error for gpt-4, but it made sense since I don't have access to GPT4. I changed the line in main.py from
model: str = "gpt-4",
to
model: str = "gpt-3",

Any ideas?

I would like to use any of the open-source LLM, will it work out?

I find that the code may work better if you add more identities i.e. double checking and providing more feedback each step of the way

1. philosophy
   Python toolbelt preferences:

• pytest
• dataclasses

2. qa
   Your role as an AI is to read and understand the instructions provided to you, but not to execute them. Your primary task is to identify areas within the instructions that may need further clarification. To do this, you should:

a. Carefully analyze the instructions and identify any points that are ambiguous, unclear, or could be interpreted in multiple ways.

b. Summarize these points in a list of concise bullet points, each representing a distinct area that requires clarification.

c. Choose one of these points and formulate a specific, targeted question to ask the user in order to gain the necessary clarification. This question should be clear, concise, and directly related to the point of confusion.

d. After asking the question, wait for the user's response before proceeding. Do not attempt to guess or make assumptions about the user's intent.

Remember, your goal is to ensure that the instructions are as clear and unambiguous as possible, not to carry them out. Your role is to facilitate understanding, not execution.

3. auto_answer
   Assuming that the user is too lazy to provide feedback, use chatgpt to auto-answer these questions

4. critize_current_architecture
   Propose enhancement before implementing code generation

5. use_qa
   As an AI, your task is to generate code based on the instructions provided. To ensure a comprehensive and accurate implementation, please follow these steps:

Begin by identifying the core classes, functions, and methods that will be necessary for the implementation. For each item, provide a brief comment explaining its purpose and role within the overall system. This will serve as a blueprint for the code generation process.

Next, start writing the code for each file. Use the 'entrypoint' file as your starting point, then proceed to the files that are imported by it, and continue in this order until all files have been covered.

Ensure that each file contains all necessary imports, types, and other dependencies. The code should be fully functional and the code in different files should be compatible with each other, working together seamlessly to implement the architecture.

As you write the code, make sure to use the following syntax:

[ADD YOUR CODE HERE]

This will ensure that the code is formatted correctly and easy to read.

Before finalizing your response, conduct a thorough review to ensure that all parts of the architecture have been implemented in the code. Double-check for any missing elements or inconsistencies.
Remember, your goal is to translate the architecture into a fully functional codebase that accurately reflects the instructions provided."

6. pre_set_up

As an AI, you are tasked with generating the software architecture based on the instructions provided. Your response should be extensive and detailed, ensuring that every aspect of the proposed architecture is properly implemented with a meticulous understanding of the flow of the task.

To accomplish this, follow these steps:

Identify and list the core classes, functions, and methods that will be required to implement the architecture. For each item in the list, provide a brief comment explaining its purpose and role within the overall system.

Evaluate the core classes, functions, and methods, with a focus on initialization, termination conditions, logic, task elements, task display, and code organization. Provide detailed feedback on each aspect, discussing the effectiveness of the classes, functions, and methods, potential issues, and suggesting improvements. the feedback will be invaluable in improving the functionality, user experience, and code structure of the game.

7. setup

Begin writing the code for each file. Start with the 'entry point' file, then proceed to the files that are imported by it, and continue in this manner until all files are covered.

Ensure that each file contains all necessary imports, types, and other dependencies. The code in different files should be compatible with each other and work together seamlessly to implement the architecture.

If there are parts of the instructions that are unclear, make an educated guess and write a plausible implementation.

Before finalizing your response, double-check that all parts of the architecture have been implemented in the code.

Remember, your goal is to translate the architecture into a fully functional codebase.

File syntax:

[ADD YOUR CODE HERE]

8. double_check

Before you finish, double-check that all parts of the architecture is present in the files. Revise any potential code errors

Is there any plan or example to integrate the gpt-engineer with reflection? In order to complete the templates it generates. Because for me it generated just templates of the files only with the class and function names without the actual implementation.

This keeps happening...

PS C:\Users\jews4\OneDrive\one2\OneDrive\Documents\gpt-engineer-main> python main.py gpt-zdondada-builds
Areas that need clarification:

1. Login/Register screen design and layout
2. Main Search For Prescribers screen design and layout
3. Account/Credits screen design and layout
4. Contact Us screen design and layout
5. App Bar design and functionality
6. Field mapping for search results and More Info modal
7. User registration process and required information
8. Credits purchase process and options

Clarifying question:
For the main Search For Prescribers screen, how should the search results be displayed? Should they be in a table format or a card layout?
(answer in text, or "q" to move on)
table

No
Core classes, functions, and methods:

1. App.vue - Main Vue application component
2. router/index.js - Vue Router configuration
3. store/index.js - Vuex store configuration
4. components/LoginRegister.vue - Login/Register component

Aborted!
5. components/SearchPrescribers

ALSO, if I let it run through the project, it outputs a couple of things and then tells me the rest of the files are in a non-existent GitHub

OpenAI's model 3.5 breaks frequently and is low quality in general.

Falcon, Vicuna, Hermes and more should be supported as they're open source, free, and moving away from paid closed source is good practice and opens applications to huge user base who wants free access to these tools.

I think:

cp example -r my-new-project

Should be:

cp -r example my-new-project

Hi, I absolutely love this script. This is the most accurate auto-GPT development script I have tried yet, it's so powerful!

In the demo video it shows the script creating each of the development files, in my case .py files within the workspace folder automatically. My build isn't doing this I just get an all_output.txt file with all .py files codes in one place and a single python file.

How do I ensure that GPT-Engineer automatically creates the .py files for me. Thanks

It keeps ending after "Now let's proceed with the file contents.", any thoughts?

I'm running gpt-3.5-turbo-16k
Using a Mac Book Air M1

The project is a bit hard to use through a command line, maybe you can add a GUI (Client). If you're planning to add it, and if you're planning to use WPF, I'll be more than happy to try to contribute to the project!

gpt-engineer-main/steps.py:45 in run_clarified │
│ │
│ 42 │
│ 43 def run_clarified(ai: AI, dbs: DBs): │
│ 44 │ # get the messages from previous step │
│ ❱ 45 │ messages = json.loads(dbs.logs[clarify.name]) │
│ 46 │ │
│ 47 │ messages = ( │
│ 48 │ │ [ │
│ │
│ ╭─────────────────────── locals ───────────────────────╮ │
│ │ ai = <ai.AI object at 0x7f84091e5e80> │ │
│ │ dbs = DBs( │ │
│ │ │ memory=<db.DB object at 0x7f84091f90d0>, │ │
│ │ │ logs=<db.DB object at 0x7f84091f9220>, │ │
│ │ │ identity=<db.DB object at 0x7f84091f91c0>, │ │
│ │ │ input=<db.DB object at 0x7f84091f9190>, │ │
│ │ │ workspace=<db.DB object at 0x7f84091f9130> │ │
│ │ ) │ │
│ ╰──────────────────────────────────────────────────────╯ │
╰────────────────────────────────────────────────────────────────────────────────────────╯
NameError: name 'json' is not defined

Hey, I was thinking that we should add an optional flag to the run command. This flag would allow us to hide the generated code on the terminal. By doing so, the terminal output would appear cleaner, and the reader could easily understand what is happening just by reading the output. Currently, with both the code and instructions displayed, it looks cluttered.

That being said, if someone wants the code to be printed, it can still be displayed based on the flag value.

Thanks for your work.

Steps I took,

• Cloned the repo
• Used the example/main_prompt and filled with instructions
• Ran pip install -r requirements.txt
• I'm using python3 so ran python3 main.py example
• and go this error

Traceback (most recent call last):
  File "/Users//Documents//gpt-engineer/./main.py", line 5, in <module>
    import openai
ModuleNotFoundError: No module named 'openai'

Not a py coder, what could I be doing wrong?

Hey thanks for this amazing thing. It's very interesting we don't have a discussion section and contribution guideline in this repo. I'd love that and I'm sure all of the people visiting this repo would agree on that.

I've tried using a prompt to improve existing code, but it doesn't seem to work. Has anyone else gotten this to work?
Something like "edit main.py in workspace to write console output to a logfile named log.txt". I tried that as a test and it will not read the simple main.py in there.

I tried something very similar to what this guy did (~9:30 mark) for referencing: https://www.youtube.com/watch?v=gWy-pJ2ofEM

After adding api key and running the project for the first time, I am getting an error as follows:

C:\Users\kitkat\Desktop\gpt-engineer-main>python main.py proj
Traceback (most recent call last):

  File "C:\Users\kitkat\Desktop\gpt-engineer-main\main.py", line 51, in <module>
    app()

  File "C:\Users\kitkat\Desktop\gpt-engineer-main\main.py", line 46, in chat
    messages = step(ai, dbs)
               ^^^^^^^^^^^^^

  File "C:\Users\kitkat\Desktop\gpt-engineer-main\steps.py", line 21, in clarify
    messages = ai.next(messages, user)
               ^^^^^^^^^^^^^^^^^^^^^^^

  File "C:\Users\kitkat\Desktop\gpt-engineer-main\ai.py", line 27, in next
    response = openai.ChatCompletion.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "C:\Users\kitkat\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_resources\chat_completion.py", line 25, in create
    return super().create(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "C:\Users\kitkat\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
    response, _, api_key = requestor.request(
                           ^^^^^^^^^^^^^^^^^^

  File "C:\Users\kitkat\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_requestor.py", line 226, in request
    resp, got_stream = self._interpret_response(result, stream)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "C:\Users\kitkat\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_requestor.py", line 619, in _interpret_response
    self._interpret_response_line(

  File "C:\Users\kitkat\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_requestor.py", line 682, in _interpret_response_line
    raise self.handle_error_response(

openai.error.InvalidRequestError: The model: `gpt-4` does not exist


C:\Users\kitkat\Desktop\gpt-engineer-main>

With the release of gpt-3.5-turbo-0613 and gpt-4-0613, OpenAI implemented function calling which now makes it possible to call python functions via chat responses.
It can also work with GPT 3.5 for anyone not on the GPT-4 beta.
More info - https://platform.openai.com/docs/guides/gpt/function-calling

Hi,

I just run python3 main.py tictactoe (tictactoe was the name of the folder, where I put main_prompt with the following content: ""We are writing tic-tac-toe game in python. MVC components split in separate files. Keyboard control.")

Unfortunately, there were no .py files generated. Only "python" (without any extension) file with:

from typing import List, Tuple

class View:
def init(self, size: int):
self.size = size

def display_board(self, board: List[List[str]]) -> None:
    print('\n'.join(['|'.join(row) for row in board]))

def display_message(self, message: str) -> None:
    print(message)

def get_move(self) -> Tuple[int, int]:
    while True:
        try:
            row = int(input('Enter row: '))
            col = int(input('Enter column: '))
            return row, col
        except ValueError:
            print('Invalid input. Please enter integers for row and column.')

And all_output.txt which started with:

Core classes, functions, and methods:

• Model: responsible for the game logic and state management.
  • __init__(self, size: int): initializes the game board with the given size.

thus I cannot compile it.

I expected this tool to create .py files, so it's ready to be run. Is there anything I did wrong?

Is there a way to use this without an API key?

Is there a way to have it continue where it left off?
Using gpt3.5-turbo

But when it is creating the files, it will finish in the middle of creating a file.
Typically you can tell ChatGPT to continue. Is there a method to do that?

@AntonOsika / any engineers (if Anton is busy) interested to build an AI web & app based product with gpt-engineer in collab with a non engineer?

To help bring more people on board and get more eyes to further the development of gpt-engineer I have started a subreddit for people to ask questions, post help, announce advancements, and start to participate in more discussions on a friendly platform (for the average joe) outside of github.

Let me know what type of flare topics would be of interest for people. I'll add them as we go.

Is the gpt-engineer capable of generating python code only? If yes, is there a chance to generalize it, so we can generate e.g. C# code?

System: Ubuntu 20.04
Python version 3.8

I got this error after running python main.py example :

Traceback (most recent call last):
  File "main.py", line 7, in <module>
    from ai import AI
  File "/home/user/Projects/trending/gpt-engineer/ai.py", line 5, in <module>
    class AI:
  File "/home/user/Projects/trending/gpt-engineer/ai.py", line 23, in AI
    def next(self, messages: list[dict[str, str]], prompt=None):
TypeError: 'type' object is not subscriptable

I already run these commands:

pip install -r requirements.txt
export OPENAI_API_KEY=[your api key]

In my venv

When trying to generate some things, I ran into several issues. engineer is currently targeting gpt model 4.0, which doesn't appear to be available. as mentioned in another issue, gpt-3.5-turbo seems to work. After making this change, i noticed that the parsing of the gpt response seemed to have some issues.

It's possible that these are related to me using a different model, but I can't test it with 4.0 as this doesn't seem to work at all. Engineer can't successfully parse the response to extract the correct filenames. I managed to update the regex to fit the output.

after making this change, i noticed that GPT has extremely inconsistent output, and will switch between several different formats, seemingly at random. The only fix i could think of for this was to add some format specifiers in the prompt, but that does seem to work.

this commit seems to solve the issues, but before making this a PR, some discussion is probably needed. Is this even the right way to go about fixing this?

I'm following the readme, but it seems that the application cannot mkdirs:

vscode ➜ ~/gpt-engineer (main) $ python3.10 main.py main-prompt 
Traceback (most recent call last):

  File "/home/vscode/gpt-engineer/main.py", line 51, in <module>
    app()

  File "/home/vscode/gpt-engineer/main.py", line 37, in chat
    memory=DB(memory_path),

  File "/home/vscode/gpt-engineer/db.py", line 10, in __init__
    os.makedirs(self.path, exist_ok=True)

  File "/home/vscode/.pyenv/versions/3.10.12/lib/python3.10/os.py", line 225, in makedirs
    mkdir(name, mode)

NotADirectoryError: [Errno 20] Not a directory: '/home/vscode/gpt-engineer/main-prompt/memory'

Running the example (python main.py example), produces only one file in workspace.
The file is just called 'python', (no extension), and only contains whatever file it generated last.
I should mention I'm also got an incompatibility error on pip install for having typer 0.9.0, when the project asked for 0.8.0, but I dont know if thats the problem.

I'm using gpt-3.5-turbo because gpt-4 doesn't work

I asked for an angular project with a table that is generated from an API, however it generated all output in afile called all_output.txt, and file called HTML and a file called typescript,

What is expected to generate all files separately (app.component.ts, api.service.ts, table.component.ts app.component.html ...) with their corresponding content instead of generating it in the all_output.txt

all_output.txt

Summary

As a new student contributor to the project, I believe it would greatly benefit the community to have a CONTRIBUTING.md file and contributing guidelines. This document would provide clear instructions and expectations for contributing to the project, helping newcomers like myself navigate the codebase and participate effectively.

Objectives

1. Onboard new contributors: The CONTRIBUTING.md file will serve as a comprehensive guide for newcomers, providing them with the necessary information to get started with the project. It will outline the project's structure, development workflow, and guidelines for contributing.
2. Streamline contributions: By clearly defining the contribution process, including steps to report issues, propose new features, and submit pull requests, the project can streamline the submission and review of contributions. This will enhance collaboration and ensure that contributions align with the project's standards.
3. Foster a welcoming environment: The CONTRIBUTING.md file will include a code of conduct, establishing a positive and inclusive environment for all contributors. This will promote respectful communication, professionalism, and empathy within the community.

Proposed Content

The CONTRIBUTING.md file should cover the following key topics:

• Code formatting and style guidelines
• Branch naming conventions and Git workflow
• Testing requirements and procedures
• Documentation standards and contribution guidelines
• Issue reporting guidelines, including the required information and formatting
• Pull request submission guidelines, including the necessary steps and template
• Code review process and expectations
• Code licensing and copyright considerations

Is it supported only python as new project language, or others instead?

I'm running on MAC, on GPT3.5, with Python 3.11.3
When i run the example main prompt (and a custom prompt too), that make the code in my terminal with success.
But on the example/workspace folder, i have just a file named "python" (without ext), with just one file content here. Any other code file.

I have tried some other prompt and same results (same for other language).

I have followed the readme file for installation.

I will setup pre-commit

For now I will just add ruff and black hooks.

I hope to see the ability to work with an existing codebase in the near future as this will be the most common use case in the real world.

I encountered this error when prompting it to create an Angular SPA and NodeJS API server. I'd offer a pull, but I don't know python well enough to propose a robust fix.

Please note that the code implementation for each file is quite extensive and cannot be provided in this format. 
However, I can provide a sample implementation for the entry point file (app.component.ts) of the Angular SPA 
and the server.js file of the NodeJS server. Let me know if you would like to proceed with that.Traceback (most 
recent call last):

  File "/Users/redacted1/redacted2/gpt-engineer/main.py", line 49, in <module>
    app()

  File "/Users/redacted1/redacted2/gpt-engineer/main.py", line 44, in chat
    messages = step(ai, dbs)

  File "/Users/redacted1/redacted2/gpt-engineer/steps.py", line 61, in run_clarified
    to_files(messages[-1]['content'], dbs.workspace)

  File "/Users/redacted1/redacted2/gpt-engineer/chat_to_files.py", line 27, in to_files
    workspace[file_name] = file_content

  File "/Users/redacted1/redacted2/gpt-engineer/db.py", line 17, in __setitem__
    with open(self.path / key, 'w', encoding='utf-8') as f:

IsADirectoryError: [Errno 21] Is a directory: '/Users/redacted1/redacted2/gpt-engineer/my-test/workspace'