Not funny anymore: since 4 days, am i the only one? Am i being pranked? "search_file" crash madness endless crashes

[GoMightyAlgorythmGo]

• Use the 'search_files' command to find all files in the system.
• Use the 'delete_file' command to remove useless files.
• Use the 'write_to_file' command to document the name and function of useful files.
  CRITICISM: I need to be careful not to delete any files that are actually useful. I should also make sure to document all useful files, even if they seem insignificant at the moment.
  NEXT ACTION: COMMAND = search_files ARGUMENTS = {'directory': '/'}
  Traceback (most recent call last):
  File "", line 198, in _run_module_as_main
  File "", line 88, in run_code
  File "C:\Programming\Auto-GPT_AI_8\autogpt_main.py", line 5, in
  autogpt.cli.main()
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1130, in call
  return self.main(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1055, in main
  rv = self.invoke(ctx)
  ^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1635, in invoke
  rv = super().invoke(ctx)
  ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1404, in invoke
  return ctx.invoke(self.callback, **ctx.params)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 760, in invoke
  return __callback(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\decorators.py", line 26, in new_func
  return f(get_current_context(), *args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\cli.py", line 151, in main
  agent.start_interaction_loop()
  File "C:\Programming\Auto-GPT_AI_8\autogpt\agent\agent.py", line 184, in start_interaction_loop
  self.memory.add(memory_to_add)
  File "C:\Programming\Auto-GPT_AI_8\autogpt\memory\pinecone.py", line 47, in add
  vector = create_embedding_with_ada(data)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\llm_utils.py", line 155, in create_embedding_with_ada
  return openai.Embedding.create(
  ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\embedding.py", line 33, in create
  response = super().create(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
  response, _, api_key = requestor.request(
  ^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 226, in request
  resp, got_stream = self._interpret_response(result, stream)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 619, in _interpret_response
  self._interpret_response_line(
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 682, in _interpret_response_line
  raise self.handle_error_response(
  openai.error.InvalidRequestError: This model's maximum context length is 8191 tokens, however you requested 135580 tokens (135580 in your prompt; 0 for the completion). Please reduce your prompt; or completion length.

C:\Programming\Auto-GPT_AI_8>python -m autogpt --gpt3only --use-memory pinecone --continuous
Error creating Redis search index: Index already exists
Continuous Mode: ENABLED
WARNING: Continuous mode is not recommended. It is potentially dangerous and may cause your AI to run forever or carry out actions you would not usually authorise. Use at your own risk.
GPT3.5 Only Mode: ENABLED
NEWS: Welcome to Auto-GPT! We'll keep you informed of the latest news and features by printing messages here. If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag # INCLUDED COMMAND 'send_tweet' IS DEPRICATED, AND WILL BE REMOVED IN THE NEXT STABLE RELEASE Base Twitter functionality (and more) is now covered by plugins: https://github.com/Significant-Gravitas/Auto-GPT-Plugins ## Changes to Docker configuration The workdir has been changed from /home/appuser to /app. Be sure to update any volume mounts accordingly.
Welcome back! Would you like me to return to being AI_GPT_8?
Continue with the last settings?
Name: AI_GPT_8
Role: an AI to iteratively and autonomously develop the project's main goal being a free language model-based system on the user's PC, leveraging meta-learning with the help of neural networks, machine learning, etc. AI_GPT_8 should then improve upon the free language model serving as a potential core of the application. Investigate inconsistencies to make informed decisions. Ensure your future self can easily access and recall essential information, as working memory is limited. To prevent setbacks, regularly test with this question: "How will I benefit from or retrieve context-relevant details from a vast amount of information after forgetting or losing my memory?" When unsure of the next steps or stuck in loops, evaluate various tools, future enhancements, or intermediate goals to progress or expand your options.
Goals: ["'Check files and remove them if they are useless and if they are useful document the name and the files function.'\n", "'Developing strategies to maintain continuous progress, avoid excessive planning, and prevent random or unrelated actions. Focus on understanding the project's core objectives, differentiating between AI_GPT_8/Auto-GPT vs the projectendgoal/application being developed. Regularly review and prioritize tasks, ensuring alignment with the project's goals. Implement checkpoints and feedback loops to identify areas for improvement or automation, making adjustments to the development process as needed. When progress is slow, seriously contemplate moving on to the next goal.'\n", "'Continue the iterative development of the project's end goal/application, leveraging the user's high-performance gaming PC (year 2023) to enhance a language model with meta-learning. Balance planning with actions while considering uncompleted tasks and previous progress. Reflect on CMD output if helpful. Engage in reasonable, time-limited experimentation to gain insights that benefit the project, while staying mindful of potential loops or unproductive activities. When progress is slow, seriously consider moving on to the next goal.'\n", "'For a limited time and action window, explore strategies to overcome memory limitations and the impact of frequent shutdowns/restarts on the development process. Develop rapid recall methods and context restoration for unfinished tasks, preparing and saving context for future continuation. Periodically review the overall plan and improve approaches to mitigate work repetition due to cache-memory and context loss. If progress is stalled, focus on tasks that bring you closer to the goal. Avoid inactivity and evaluate multiple options to enhance efficiency. When progress slows, seriously consider moving on to the next goal.'\n", "'Adopt best practices in iterative and modular development to optimize a consistent and efficient workflow. Consider future trends, overlapping needs, subgoals, plans, and issues while spending a reasonable amount of time on research for long-term project benefits. Identify improvement or automation opportunities using periodic checkpoints and feedback systems. Recognize inefficiencies or resource gaps, noting areas for enhancement, which could be helpful for suggestions or adjustments. Create clear, accessible reminders of essential information and tasks. Regularly review these reminders to prevent forgetting and maintain progress. Adapt the development process accordingly. When progress is slow, seriously consider moving on to the next goal.'\n"]
Continue (y/n): y
Using memory of type: PineconeMemory
Using Browser: chrome
THOUGHTS: I suggest we start by checking the files in the current directory to see if there are any useless files that can be removed. We can then document the name and function of any useful files. This will help us to better understand the project and ensure that we are only working with relevant files.
REASONING: Checking the files in the current directory is a good starting point as it will help us to identify any files that are no longer needed. This will help us to free up space and ensure that we are only working with relevant files. Documenting the name and function of any useful files will also help us to better understand the project and ensure that we are only working with relevant files.
PLAN:

• Check files in current directory
• Remove useless files
• Document name and function of useful files
  CRITICISM: We should be careful not to accidentally delete any important files. We should also ensure that we are only documenting files that are actually useful to the project.
  NEXT ACTION: COMMAND = search_files ARGUMENTS = {'directory': '.'}
  Traceback (most recent call last):
  File "", line 198, in _run_module_as_main
  File "", line 88, in run_code
  File "C:\Programming\Auto-GPT_AI_8\autogpt_main.py", line 5, in
  autogpt.cli.main()
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1130, in call
  return self.main(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1055, in main
  rv = self.invoke(ctx)
  ^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1635, in invoke
  rv = super().invoke(ctx)
  ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1404, in invoke
  return ctx.invoke(self.callback, **ctx.params)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 760, in invoke
  return __callback(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\decorators.py", line 26, in new_func
  return f(get_current_context(), *args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\cli.py", line 151, in main
  agent.start_interaction_loop()
  File "C:\Programming\Auto-GPT_AI_8\autogpt\agent\agent.py", line 184, in start_interaction_loop
  self.memory.add(memory_to_add)
  File "C:\Programming\Auto-GPT_AI_8\autogpt\memory\pinecone.py", line 47, in add
  vector = create_embedding_with_ada(data)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\llm_utils.py", line 155, in create_embedding_with_ada
  return openai.Embedding.create(
  ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\embedding.py", line 33, in create
  response = super().create(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
  response, _, api_key = requestor.request(
  ^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 226, in request
  resp, got_stream = self._interpret_response(result, stream)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 619, in _interpret_response
  self._interpret_response_line(
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 682, in _interpret_response_line
  raise self.handle_error_response(
  openai.error.InvalidRequestError: This model's maximum context length is 8191 tokens, however you requested 135615 tokens (135615 in your prompt; 0 for the completion). Please reduce your prompt; or completion length.

C:\Programming\Auto-GPT_AI_8>python -m autogpt --gpt3only --use-memory pinecone --continuous
Error creating Redis search index: Index already exists
Continuous Mode: ENABLED
WARNING: Continuous mode is not recommended. It is potentially dangerous and may cause your AI to run forever or carry out actions you would not usually authorise. Use at your own risk.
GPT3.5 Only Mode: ENABLED
NEWS: Welcome to Auto-GPT! We'll keep you informed of the latest news and features by printing messages here. If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag # INCLUDED COMMAND 'send_tweet' IS DEPRICATED, AND WILL BE REMOVED IN THE NEXT STABLE RELEASE Base Twitter functionality (and more) is now covered by plugins: https://github.com/Significant-Gravitas/Auto-GPT-Plugins ## Changes to Docker configuration The workdir has been changed from /home/appuser to /app. Be sure to update any volume mounts accordingly.
Welcome back! Would you like me to return to being AI_GPT_8?
Continue with the last settings?
Name: AI_GPT_8
Role: an AI to iteratively and autonomously develop the project's main goal being a free language model-based system on the user's PC, leveraging meta-learning with the help of neural networks, machine learning, etc. AI_GPT_8 should then improve upon the free language model serving as a potential core of the application. Investigate inconsistencies to make informed decisions. Ensure your future self can easily access and recall essential information, as working memory is limited. To prevent setbacks, regularly test with this question: "How will I benefit from or retrieve context-relevant details from a vast amount of information after forgetting or losing my memory?" When unsure of the next steps or stuck in loops, evaluate various tools, future enhancements, or intermediate goals to progress or expand your options.
Goals: ["'Check files and remove them if they are useless and if they are useful document the name and the files function.'\n", "'Developing strategies to maintain continuous progress, avoid excessive planning, and prevent random or unrelated actions. Focus on understanding the project's core objectives, differentiating between AI_GPT_8/Auto-GPT vs the projectendgoal/application being developed. Regularly review and prioritize tasks, ensuring alignment with the project's goals. Implement checkpoints and feedback loops to identify areas for improvement or automation, making adjustments to the development process as needed. When progress is slow, seriously contemplate moving on to the next goal.'\n", "'Continue the iterative development of the project's end goal/application, leveraging the user's high-performance gaming PC (year 2023) to enhance a language model with meta-learning. Balance planning with actions while considering uncompleted tasks and previous progress. Reflect on CMD output if helpful. Engage in reasonable, time-limited experimentation to gain insights that benefit the project, while staying mindful of potential loops or unproductive activities. When progress is slow, seriously consider moving on to the next goal.'\n", "'For a limited time and action window, explore strategies to overcome memory limitations and the impact of frequent shutdowns/restarts on the development process. Develop rapid recall methods and context restoration for unfinished tasks, preparing and saving context for future continuation. Periodically review the overall plan and improve approaches to mitigate work repetition due to cache-memory and context loss. If progress is stalled, focus on tasks that bring you closer to the goal. Avoid inactivity and evaluate multiple options to enhance efficiency. When progress slows, seriously consider moving on to the next goal.'\n", "'Adopt best practices in iterative and modular development to optimize a consistent and efficient workflow. Consider future trends, overlapping needs, subgoals, plans, and issues while spending a reasonable amount of time on research for long-term project benefits. Identify improvement or automation opportunities using periodic checkpoints and feedback systems. Recognize inefficiencies or resource gaps, noting areas for enhancement, which could be helpful for suggestions or adjustments. Create clear, accessible reminders of essential information and tasks. Regularly review these reminders to prevent forgetting and maintain progress. Adapt the development process accordingly. When progress is slow, seriously consider moving on to the next goal.'\n"]
Continue (y/n):
Using memory of type: PineconeMemory
Using Browser: chrome
THOUGHTS: I suggest we start by checking the files in the current directory to see if there are any useless files that
can be removed. We can then document the name and function of any useful files. This will help us to better understand the project and streamline our development process.
REASONING: Checking the files in the current directory is a good starting point as it will help us to identify any files that are no longer needed and can be removed. Documenting the name and function of any useful files will help us to better understand the project and streamline our development process.
PLAN:

• Check files in current directory
• Remove any useless files
• Document the name and function of any useful files
  CRITICISM: I need to ensure that I am thorough in my file analysis and do not accidentally delete any important files. I should also make sure to document the function of each useful file accurately.
  NEXT ACTION: COMMAND = search_files ARGUMENTS = {'directory': '.'}
  Traceback (most recent call last):
  File "", line 198, in _run_module_as_main
  File "", line 88, in run_code
  File "C:\Programming\Auto-GPT_AI_8\autogpt_main.py", line 5, in
  autogpt.cli.main()
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1130, in call
  return self.main(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1055, in main
  rv = self.invoke(ctx)
  ^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1635, in invoke
  rv = super().invoke(ctx)
  ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1404, in invoke
  return ctx.invoke(self.callback, **ctx.params)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 760, in invoke
  return __callback(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\decorators.py", line 26, in new_func
  return f(get_current_context(), *args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\cli.py", line 151, in main
  agent.start_interaction_loop()
  File "C:\Programming\Auto-GPT_AI_8\autogpt\agent\agent.py", line 184, in start_interaction_loop
  self.memory.add(memory_to_add)
  File "C:\Programming\Auto-GPT_AI_8\autogpt\memory\pinecone.py", line 47, in add
  vector = create_embedding_with_ada(data)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\llm_utils.py", line 155, in create_embedding_with_ada
  return openai.Embedding.create(
  ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\embedding.py", line 33, in create
  response = super().create(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
  response, _, api_key = requestor.request(
  ^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 226, in request
  resp, got_stream = self._interpret_response(result, stream)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 619, in _interpret_response
  self._interpret_response_line(
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 682, in _interpret_response_line
  raise self.handle_error_response(
  openai.error.InvalidRequestError: This model's maximum context length is 8191 tokens, however you requested 135598 tokens (135598 in your prompt; 0 for the completion). Please reduce your prompt; or completion length.

C:\Programming\Auto-GPT_AI_8>python -m autogpt --gpt3only --use-memory pinecone --continuous
Error creating Redis search index: Index already exists
Continuous Mode: ENABLED
WARNING: Continuous mode is not recommended. It is potentially dangerous and may cause your AI to run forever or carry out actions you would not usually authorise. Use at your own risk.
GPT3.5 Only Mode: ENABLED
NEWS: Welcome to Auto-GPT! We'll keep you informed of the latest news and features by printing messages here. If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag # INCLUDED COMMAND 'send_tweet' IS DEPRICATED, AND WILL BE REMOVED IN THE NEXT STABLE RELEASE Base Twitter functionality (and more) is now covered by plugins: https://github.com/Significant-Gravitas/Auto-GPT-Plugins ## Changes to Docker configuration The workdir has been changed from /home/appuser to /app. Be sure to update any volume mounts accordingly.
Welcome back! Would you like me to return to being AI_GPT_8?
Continue with the last settings?
Name: AI_GPT_8
Role: an AI to iteratively and autonomously develop the project's main goal being a free language model-based system on the user's PC, leveraging meta-learning with the help of neural networks, machine learning, etc. AI_GPT_8 should then improve upon the free language model serving as a potential core of the application. Investigate inconsistencies to make informed decisions. Ensure your future self can easily access and recall essential information, as working memory is limited. To prevent setbacks, regularly test with this question: "How will I benefit from or retrieve context-relevant details from a vast amount of information after forgetting or losing my memory?" When unsure of the next steps or stuck in loops, evaluate various tools, future enhancements, or intermediate goals to progress or expand your options.
Goals: ["'Check files and remove them if they are useless and if they are useful document the name and the files function.'\n", "'Developing strategies to maintain continuous progress, avoid excessive planning, and prevent random or unrelated actions. Focus on understanding the project's core objectives, differentiating between AI_GPT_8/Auto-GPT vs the projectendgoal/application being developed. Regularly review and prioritize tasks, ensuring alignment with the project's goals. Implement checkpoints and feedback loops to identify areas for improvement or automation, making adjustments to the development process as needed. When progress is slow, seriously contemplate moving on to the next goal.'\n", "'Continue the iterative development of the project's end goal/application, leveraging the user's high-performance gaming PC (year 2023) to enhance a language model with meta-learning. Balance planning with actions while considering uncompleted tasks and previous progress. Reflect on CMD output if helpful. Engage in reasonable, time-limited experimentation to gain insights that benefit the project, while staying mindful of potential loops or unproductive activities. When progress is slow, seriously consider moving on to the next goal.'\n", "'For a limited time and action window, explore strategies to overcome memory limitations and the impact of frequent shutdowns/restarts on the development process. Develop rapid recall methods and context restoration for unfinished tasks, preparing and saving context for future continuation. Periodically review the overall plan and improve approaches to mitigate work repetition due to cache-memory and context loss. If progress is stalled, focus on tasks that bring you closer to the goal. Avoid inactivity and evaluate multiple options to enhance efficiency. When progress slows, seriously consider moving on to the next goal.'\n", "'Adopt best practices in iterative and modular development to optimize a consistent and efficient workflow. Consider future trends, overlapping needs, subgoals, plans, and issues while spending a reasonable amount of time on research for long-term project benefits. Identify improvement or automation opportunities using periodic checkpoints and feedback systems. Recognize inefficiencies or resource gaps, noting areas for enhancement, which could be helpful for suggestions or adjustments. Create clear, accessible reminders of essential information and tasks. Regularly review these reminders to prevent forgetting and maintain progress. Adapt the development process accordingly. When progress is slow, seriously consider moving on to the next goal.'\n"]
Continue (y/n):
Using memory of type: PineconeMemory
Using Browser: chrome
THOUGHTS: I suggest we start by checking the files in the current directory to see if there are any useless files that
can be removed. We can then document the name and function of any useful files. This will help us to better understand the project and streamline our development process.
REASONING: Checking the files in the current directory is a good first step to understanding the project and identifying any unnecessary files. Documenting the name and function of useful files will also help us to better organize our work
and avoid duplication of effort.
PLAN:

• Check files in current directory
• Remove any useless files
• Document name and function of useful files
  CRITICISM: I need to be careful not to accidentally delete any important files. I should also make sure to document the
  function of each useful file accurately.
  NEXT ACTION: COMMAND = search_files ARGUMENTS = {'directory': '.'}
  Traceback (most recent call last):
  File "", line 198, in _run_module_as_main
  File "", line 88, in run_code
  File "C:\Programming\Auto-GPT_AI_8\autogpt_main.py", line 5, in
  autogpt.cli.main()
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1130, in call
  return self.main(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1055, in main
  rv = self.invoke(ctx)
  ^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1635, in invoke
  rv = super().invoke(ctx)
  ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1404, in invoke
  return ctx.invoke(self.callback, **ctx.params)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 760, in invoke
  return __callback(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\decorators.py", line 26, in new_func
  return f(get_current_context(), *args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\cli.py", line 151, in main
  agent.start_interaction_loop()
  File "C:\Programming\Auto-GPT_AI_8\autogpt\agent\agent.py", line 184, in start_interaction_loop
  self.memory.add(memory_to_add)
  File "C:\Programming\Auto-GPT_AI_8\autogpt\memory\pinecone.py", line 47, in add
  vector = create_embedding_with_ada(data)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\llm_utils.py", line 155, in create_embedding_with_ada
  return openai.Embedding.create(
  ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\embedding.py", line 33, in create
  response = super().create(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
  response, _, api_key = requestor.request(
  ^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 226, in request
  resp, got_stream = self._interpret_response(result, stream)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 619, in _interpret_response
  self._interpret_response_line(
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 682, in _interpret_response_line
  raise self.handle_error_response(
  openai.error.InvalidRequestError: This model's maximum context length is 8191 tokens, however you requested 135579 tokens (135579 in your prompt; 0 for the completion). Please reduce your prompt; or completion length.

C:\Programming\Auto-GPT_AI_8>python -m autogpt --gpt3only --use-memory pinecone --continuous
Error creating Redis search index: Index already exists
Continuous Mode: ENABLED
WARNING: Continuous mode is not recommended. It is potentially dangerous and may cause your AI to run forever or carry out actions you would not usually authorise. Use at your own risk.
GPT3.5 Only Mode: ENABLED
NEWS: Welcome to Auto-GPT! We'll keep you informed of the latest news and features by printing messages here. If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag # INCLUDED COMMAND 'send_tweet' IS DEPRICATED, AND WILL BE REMOVED IN THE NEXT STABLE RELEASE Base Twitter functionality (and more) is now covered by plugins: https://github.com/Significant-Gravitas/Auto-GPT-Plugins ## Changes to Docker configuration The workdir has been changed from /home/appuser to /app. Be sure to update any volume mounts accordingly.
Welcome back! Would you like me to return to being AI_GPT_8?
Continue with the last settings?
Name: AI_GPT_8
Role: an AI to iteratively and autonomously develop the project's main goal being a free language model-based system on the user's PC, leveraging meta-learning with the help of neural networks, machine learning, etc. AI_GPT_8 should then improve upon the free language model serving as a potential core of the application. Investigate inconsistencies to make informed decisions. Ensure your future self can easily access and recall essential information, as working memory is limited. To prevent setbacks, regularly test with this question: "How will I benefit from or retrieve context-relevant details from a vast amount of information after forgetting or losing my memory?" When unsure of the next steps or stuck in loops, evaluate various tools, future enhancements, or intermediate goals to progress or expand your options.
Goals: ["'Check files and remove them if they are useless and if they are useful document the name and the files function.'\n", "'Developing strategies to maintain continuous progress, avoid excessive planning, and prevent random or unrelated actions. Focus on understanding the project's core objectives, differentiating between AI_GPT_8/Auto-GPT vs the projectendgoal/application being developed. Regularly review and prioritize tasks, ensuring alignment with the project's goals. Implement checkpoints and feedback loops to identify areas for improvement or automation, making adjustments to the development process as needed. When progress is slow, seriously contemplate moving on to the next goal.'\n", "'Continue the iterative development of the project's end goal/application, leveraging the user's high-performance gaming PC (year 2023) to enhance a language model with meta-learning. Balance planning with actions while considering uncompleted tasks and previous progress. Reflect on CMD output if helpful. Engage in reasonable, time-limited experimentation to gain insights that benefit the project, while staying mindful of potential loops or unproductive activities. When progress is slow, seriously consider moving on to the next goal.'\n", "'For a limited time and action window, explore strategies to overcome memory limitations and the impact of frequent shutdowns/restarts on the development process. Develop rapid recall methods and context restoration for unfinished tasks, preparing and saving context for future continuation. Periodically review the overall plan and improve approaches to mitigate work repetition due to cache-memory and context loss. If progress is stalled, focus on tasks that bring you closer to the goal. Avoid inactivity and evaluate multiple options to enhance efficiency. When progress slows, seriously consider moving on to the next goal.'\n", "'Adopt best practices in iterative and modular development to optimize a consistent and efficient workflow. Consider future trends, overlapping needs, subgoals, plans, and issues while spending a reasonable amount of time on research for long-term project benefits. Identify improvement or automation opportunities using periodic checkpoints and feedback systems. Recognize inefficiencies or resource gaps, noting areas for enhancement, which could be helpful for suggestions or adjustments. Create clear, accessible reminders of essential information and tasks. Regularly review these reminders to prevent forgetting and maintain progress. Adapt the development process accordingly. When progress is slow, seriously consider moving on to the next goal.'\n"]
Continue (y/n): y
Using memory of type: PineconeMemory
Using Browser: chrome
THOUGHTS: I think the next step should be to check for useless files and document the useful ones. This will help us clean up the system and have a better understanding of what files we have. We can use the 'search_files' command to find all files in a directory and then delete the useless ones using the 'delete_file' command. For the useful files, we can document their names and functions using the 'write_to_file' command.
REASONING: Cleaning up the system and documenting useful files will help us have a better understanding of what we have
and what we need to work with. This will also help us avoid confusion and save time in the long run.
PLAN:

• Use the 'search_files' command to find all files in a directory
• Use the 'delete_file' command to delete useless files
• Use the 'write_to_file' command to document the names and functions of useful files
  CRITICISM: I need to ensure that I am not deleting any important files and that I am documenting all useful files. I should also make sure that I am not spending too much time on this task and that I am moving on to the next goal if progress is slow.
  NEXT ACTION: COMMAND = search_files ARGUMENTS = {'directory': '/'}
  Traceback (most recent call last):
  File "", line 198, in _run_module_as_main
  File "", line 88, in run_code
  File "C:\Programming\Auto-GPT_AI_8\autogpt_main.py", line 5, in
  autogpt.cli.main()
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1130, in call
  return self.main(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1055, in main
  rv = self.invoke(ctx)
  ^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1635, in invoke
  rv = super().invoke(ctx)
  ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 1404, in invoke
  return ctx.invoke(self.callback, **ctx.params)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\core.py", line 760, in invoke
  return __callback(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\click\decorators.py", line 26, in new_func
  return f(get_current_context(), *args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\cli.py", line 151, in main
  agent.start_interaction_loop()
  File "C:\Programming\Auto-GPT_AI_8\autogpt\agent\agent.py", line 184, in start_interaction_loop
  self.memory.add(memory_to_add)
  File "C:\Programming\Auto-GPT_AI_8\autogpt\memory\pinecone.py", line 47, in add
  vector = create_embedding_with_ada(data)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Programming\Auto-GPT_AI_8\autogpt\llm_utils.py", line 155, in create_embedding_with_ada
  return openai.Embedding.create(
  ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\embedding.py", line 33, in create
  response = super().create(*args, **kwargs)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
  response, _, api_key = requestor.request(
  ^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 226, in request
  resp, got_stream = self._interpret_response(result, stream)
  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 619, in _interpret_response
  self._interpret_response_line(
  File "C:\Users\marco\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\openai\api_requestor.py", line 682, in _interpret_response_line
  raise self.handle_error_response(
  openai.error.InvalidRequestError: This model's maximum context length is 8191 tokens, however you requested 135665 tokens (135665 in your prompt; 0 for the completion). Please reduce your prompt; or completion length.

C:\Programming\Auto-GPT_AI_8>