re-enabled default task

startup.py

@@ -34,7 +34,7 @@ def main(idea: str, investment: float = 20.0, n_round: int = 5, code_review: boo
  :param code_review: Whether to use code review.
  :return:
  """
- if False:
+ if True:
  idea = '''
  Design a Prompt Gateway System for an LLM (Large Language Model) with the following features:
  1. The way of Access: The Prompt Gateway implements the RESTful API via a specific URL with swagger support.
@@ -83,11 +83,17 @@ def main(idea: str, investment: float = 20.0, n_round: int = 5, code_review: boo
  and troubleshooting potential issues. Use markdown (.md) format for the documentation.
  '''
  idea = '''
- Design and develop hybrid sorting algorithm in Python.
- It should Use QuickSort (https://en.wikipedia.org/wiki/Quicksort) for the number of items equal
- or more than 5, and use simple BubbleSort (https://en.wikipedia.org/wiki/Bubble_sort) for less than 5 items.
- Create good unit tests for the code.
- Document everything in code comments and create necessary UML diagrams in separate files. 
+ Create a Prompt Gateway for an external LLM with these specifications:
+ - Prompt Gateway is accessible to clients via a specific RESTful API URL.
+ - Prompt gateway reliably accepts prompts, then applies optional transformations, and sends transformed prompts to the LLM.
+ - Prompt Gateway handles Prompt Transformations via any number of external and/or internal Plugin modules.
+ - Prompt Gateway uses an internal rule engine to determine the order of the Prompt Transformations by the Plugins.
+ - An Admin can configure the Prompt Gateway with any number of Plugins.
+ - Prompt Transformation Plugins are accessible to the Prompt Gateway only via their respective RESTful endpoint URLs.
+ 
+ Provide a local startup shell script.
+ Create deployment artifacts for Ansible and Docker.
+ Produce comprehensive documentation: usage, plugin configuration, and troubleshooting.
  '''
  code_review = True
  run_tests = True