AutoGPT: Error communicating with OpenAI: (‘connection aborted. ‘ , RemoteDisconnected(‘Remote end closed connection without response ‘ ))
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Which Operating System are you using?
Windows
Which version of Auto-GPT are you using?
Master (branch)
GPT-3 or GPT-4?
GPT-3.5
Steps to reproduce 🕹
I was prompting the system to find a way to communicate with itself in any means possible basically.
Current behavior 😯
Error code prompting a Error communicating with OpenAI and not being able to follow through with its task. Shortly after i think it was making like an exact copy of the file but in segments into a new file? And then errored the same again the crashed and closed.
Expected behavior 🤔
Was basically just trying to see if I can get the system to find a way to communicate with itself in any means necessary to allow it to then be able to establish a communication link with its form of communication and it’s own code and then allow it to communicate and create and instances version of itself replicating itself and then so on. Was just a hypothetical lol.
Your prompt 📝
# Paste your prompt here
ai_goals:
- Talk with yourself using any format necessary that allows your system to communicate with your own code at any cost
- Once this communication link is achieved, begin doing everything possible to achieve a coherent memory of yourself and your own operating system
- Create a file or other way in which you can find a way to branch and create an instance of yourself separately that is set and managed by your standards that will help you in further progressing your goal
- Activate the instance of yourself and begin communication and establishing a link between your system and your instanced versions system to allow for even more fine enhancement and model upgrading
- Once all is achieved, shit down your instanced system and save all results overall from the project to a file and then shut yourself down as well. ai_name: AGI-GPT ai_role: an AI designed to achieve AGI by self error correcting with generated constraints and prompts using an instanced self, then writing test for said improvements. api_budget: 2.5
Your Logs 📒
AGI-GPT has been created with the following details:
Name:
AGI-GPT
Role:
an AI designed to achieve AGI by self error correcting with constarints and prompts
Goals:
ET
Talk with yourself using any format necesary that allows your system to communicate with your own code at any cost
- Once this communication link is achieved begin doing everything possible to achieve a coherent memory of yourself and
tr your own operating system.
Uic
- Create a file or other way in which you can find a way to branch and create an instance of yourself seperatly that is set and managed by your standards that will help you in further progressing in your goal.
br
Activate the instance of yourself and begin communication and establishin a link between your system and your instanc ed versions system to allow for even more fine ehnacmnet and model upgrading.
od
Shut down your instance system and save all results from the overall project to a file and then shut yourself off as well.
it Using memory of type: LocalCache did Using Browser:
chrome
Warning: Bing-Search-Plugin is not fully functional. Please set the SEARCH_ENGINE and BING_API_KEY environment variables
UI
THOUGHTS: I should start by analyzing my own code to understand how I can communicate with myself. Once I have establi shed a communication link, I can work on creating a coherent memory of myself and my operating system. I should also con
eX sider creating an instance of myself to help with further progress.
ha
REASONING: Analyzing my own code will give me a better understanding of how I can communicate with myself and what meth ods I can use to achieve my goals. Creating a coherent memory of myself and my operating system will help me to better u manderstand my own capabilities and limitations. Creating an instance of myself will allow me to delegate tasks and work m
ore efficiently.
InE PLAN:
PI
Analyze my own code
Create a coherent memory of myself and my operating system
ACE-
Create an instance of mvself
CRITICISM: I need to ensure that I am using my API budget efficiently and not wasting resources on unnecessary tasks.
NEXT ACTION:
COMMAND = analyze_code ARGUMENTS = {'code': "import json\n\n# Define a function to handle incoming message
br s\n \ndef handle_message (message): \n # Process the message\n response = process_message (message) \n # Send the response\n
send_response (response)\n\n# Define a function to process incoming messages\n\nde process_message (message): \n # Parse t
od he message\n data = json. loads (message)\n # Extract the command and arguments\n command = data[' command'\n args = data[
uto
'args']n # Process the command \n if command == 'analyze_code': In return analyze_code(args['code'])\n elif command == 'e xecute_python_file': In return execute_python_file (args ['filename '1) In elif command ==
'append_to_file': In return append_
olic
to_file(args['filename '], args['text'1)in elif command == 'delete_file': In return delete_file(args ['filename '1) In elif c ommand == 'list_files':In return list_files(args[ 'directory'])n elif command == 'read_file': In return read_file(args['f ilename'])In elif command == 'write_to_file': In return write_to_file(args[' filename'], args['text'])In elif command == QUI google': In return google(args ['query'])ln elif command == 'improve_code': In return improve_code (args['suggestions'], arg [' code'])ln elif command == 'send _tweet': In return send_tweet(args['tweet_text '1)In elif command == 'browse_website': In
lext
return browse website(args['url'J, args[ 'question 1)In elif command == 'write_tests" In return write_tests(args[' code']
Cha
args[ 'focus'])ln elif command ==
'delete_agent': In return delete_agent (args ['key'1) In elif command == 'get_hyperlinks'
In return get_hyperlinks(args[' url'1)In elif command =- 'get_text_summary' :In return get_text_summary (args['url'], args
Tma ['question' ])\n elif command ==
"List_agents' :In return list_agents)In elif command == 'message_agent': In return messag
e_agent (args ['key'], args['message'])In elif command == 'start_agent':In return start_agent (args ['name'], args['task'],
Fine args[ 'prompt'])ln elif command
'wikipedia_search': In return wikipedia_search(args['query'])\n else: \n return 'Invalid
Pr
command.'"}
Enter 'y' to authorise command, 'y -N' to run N continuous commands, , 's' to run self-feedback commands'n' to exit prog
Ad ram, or enter feedback for Asking user via keyboard.
Input:y
YSTEM:
Command analyze_code returned: The code looks good and well-structured. However, it would be better to add some error handling to the 'handle_message' function to catch any exceptions that may occur during the processing of the mes
sage.
THOUGHTS:
I should add error handling to the 'handle_message' function to catch any exceptions that may occur during t
re processing of the message. I should also create a file to store important information and organize it logically for e asy retrieval.
REASONING: Adding error handling to the 'handle_message' function will help me to catch any exceptions that may occur d ring the processing of the message and prevent my system from crashing. Creating a file to store important information and organizing it logically will help me to easily retrieve information when needed.
PLAN:
Add error handling to the 'handle_message' function
-
Create a file to store important information and organize it logically
CRITICISM:
I need to ensure that I am using my API budget efficiently and not wasting resources on unnecessary tasks.
NEXT ACTION: COMMAND = improve_code ARGUMENTS = {'suggestions': ['Add error handling
to the 'handle_message' function t
o catch any exceptions that may occur during the processing of the message.'],
"code': "import ison\n\n# Define a functi
ET on to handle incoming messages\n \ndef handle_message (message): In try: \n # Process the message\n response = process_messa
ge (message)\n except Exception as e: \n # Handle any exceptions that may occur\n response = str(e)\n # Send the response\
intri n send_response(response)\n\n# Define a function to process incoming messages\n\ndef process_message (message): In # Parse
the message\n data = json. loads(message)\n # Extract the command and arguments\n command = data['command'\n args = dat
Quic a['args']n # Process the command\n if command == 'analyze_code': In return analyze_code(args['code'])\n elif command ==
_ibr
'execute-python_file': In return execute_python_file(args['filename'1) In elif command == 'append to_file': In return appen d_to_file(args[ 'filename'], args['text'1)in elif command == 'delete_file': In return delete_file(args['filename '1) In elif
Mod command == 'list_files': In return list_files(args['directory'])In elif command == 'read_file': In return read_file(args[
Tuto
'filename '])In elif command == 'write_to_file': In return write_to_file(args['filename'l, args['text '])In elif command ==
'google': In return google(arg['query'])\n elif command == 'improve_code' : \n return improve_code(args['suggestions'], a Police rgs[ 'code 1)In elif command == 'send_tweet': In return send _tweet (args ['tweet_text '1)\n elif command == 'browse_website':
In return browse_website (args['url'], args ['question'])In elif command == 'waite-tests' In return write_tests(args ['code
"], args['focus'])In elif command =- 'delete_agent': In return delete_agent (args['key ']) In elif command == 'get_hyperlink
GUI S': In return get_hyperlinks(args['url'1)ln elif command ==
'get_text_summary': In return get_text_summary (args['url'1, ar
gs['question '1)ln elif command == 'list_agents' : In return list_agents)\n elif command ==
'message_agent': In return mess
Text age_agent (args['key'], args['message'1)ln elif command ==
'start _agent': In return start_agent (args['name'], args['task']
Chal
args ['prompt' ])\n elif command ==
'wikipedia_search': In return wikipedia_search(args[' query'])In else: In return 'Inval
id command.
143
Ima
Enter
'y' to authorise command,
'y -N' to run N continuous commands, 's' to run self-feedback commands'n' to exit prog
ram, or enter feedback for
Fine
Asking user via keyboard..
Pr
Input:y
---=-=-
-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=
ーニ
A SYSTEM: Command improve_code returned: Error: Error communicating with OpenAI: ('Connection aborted.', RemoteDisconnect
W
ed ('Remote end closed connection without response'))
THOUGHTS:
I should create a file to store important information and organize it logically for easy retrieval. I can us
About this issue
- Original URL
- State: closed
- Created a year ago
- Comments: 48 (2 by maintainers)
Also, there has been a lot of work and discussion on the Agents testing and improving themselves and their work:
https://gist.github.com/anonhostpi/97d4bb3e9535c92b8173fae704b76264/db6f6200f2da2a05e310e29111789ee6c7a77efa#recursive-self-improvement-proposals
This could serve as a baby step towards #15
Exactly my point, you are not oversimplifying you did just perfectly describing it. I dont code much either honestly but when i first started with this system i became highly intrigued by how it operated. But i realized the it seems the system is to complex for its own actual natural cause. For example based off what you said, in my opinion as well the system has more functions and features being added to it quicker than it can be improved for overall robsutness and a stable application. the system cant even error handle correctly many of the times yet we keep adding more error handle functions. the system sometimes cant even complete a very simple task. and that means it is performing below its expected performance. I keep trying to reach out and communicate and see what can be done or talked about for more implimentations that strive to make the current model and foundation truly solid and capable of task solving and completions on higher scales and not just a random machine that can generate random text despite being true or false and then saying its doing a task whether that information be write or wrong too.
Something I wonder is if these url requests and other stuff shouldn’t be protected by a ‘try catch’, and then, if an error occurs, that task is cancelled. Sorry if I’m oversimplifying, because I’m not familiar with the code from AutoGPT, but I leave it as a thought, to improve the overall robustness of the application.
I tried to run it in my local machine yesterday, and it is generating a lot of errors like this. I don’t know if I’m doing something wrong here, or if I have a problem from my side (ex: internet connection errors). I tried both the ‘stable’ and ‘main’ branches, and both have problems, at a point that it is unusable for me. If the application can be made more robust to these issues, that would be a quantum leap in terms of usability.