Need help identifying parts of the source code implementing task decomposition into subtasks and their prioritization, following the Auto-GPT model

[MarcSturmKenfack]

Dear Auto-GPT members,

I am currently studying the architecture of Auto-GPT and I am particularly interested in how the system decomposes tasks into subtasks and prioritizes them to solve complex problems. I would like to seek your expertise to help me identify the parts of the source code where this logic is implemented and understand how it is achieved.

Here are some specific points on which I would like to gain clarity:

1. Identification of parts of the source code:
   I want to understand how Auto-GPT divides tasks into subtasks. Which parts of the source code are responsible for this decomposition? Are there specific modules or classes that handle this functionality?

2. Implementation of prioritization:
   How does Auto-GPT prioritize subtasks once they are decomposed? What criteria or algorithms are used to evaluate and rank tasks in terms of importance or urgency?

3. Practical examples:
   I would be grateful if you could provide code excerpts or examples illustrating task decomposition and prioritization in Auto-GPT. This would help me better understand how these concepts are implemented in practice.

I understand that these aspects can be complex, but I am confident that the Auto-GPT community is filled with competent individuals who can provide valuable insights into these topics.

Thank you in advance for your assistance and contributions. Your expertise will be of great value to me in my study of the Auto-GPT architecture.

Best regards,

[ntindle]

Hey! This is a huge question that covers much of autogpt. I'd love if you can research and add to the docs using the link below.

Take a look here: https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpts/autogpt/autogpt/agents/agent.py
Answering these specific questions would take a ton of time, but please feel free to answer your own question here with your results

[nagendrakumar02]

Dear Auto-GPT members,

I am currently studying the architecture of Auto-GPT and I am particularly interested in how the system decomposes tasks into subtasks and prioritizes them to solve complex problems. I would like to seek your expertise to help me identify the parts of the source code where this logic is implemented and understand how it is achieved.

Here are some specific points on which I would like to gain clarity:

1. Identification of parts of the source code:
   I want to understand how Auto-GPT divides tasks into subtasks. Which parts of the source code are responsible for this decomposition? Are there specific modules or classes that handle this functionality?
2. Implementation of prioritization:
   How does Auto-GPT prioritize subtasks once they are decomposed? What criteria or algorithms are used to evaluate and rank tasks in terms of importance or urgency?
3. Practical examples:
   I would be grateful if you could provide code excerpts or examples illustrating task decomposition and prioritization in Auto-GPT. This would help me better understand how these concepts are implemented in practice.

I understand that these aspects can be complex, but I am confident that the Auto-GPT community is filled with competent individuals who can provide valuable insights into these topics.

Thank you in advance for your assistance and contributions. Your expertise will be of great value to me in my study of the Auto-GPT architecture.

Best regards,

Hi Marc,

I am looking for the same, were you able to get an answer to your questions? If so, please let me know.

Thanks,
Nagendra