Malcolm Jones (bossjones/Tony Dark) bossjones

Help me refactor this .cursorfile @.cursorrules.advanced it needs to be consolidated. We can do this step by step, and you can show me a overview of your proposed fixes before we begin. Please do not remove any of the current concepts in the file, merely reduce duplication and contridictions. Things I want to keep in mind:

python code should be implemented using DRY and YAGNI
all docstrings should implement pep 257 in the style of google
Use few shot examples where necessary, make sure the code snippets also adhere to our coding standards.
Everything should be annotated
make references to design patterns that we like or want to implement like mentioned in the readme here @Web @Python Patterns
remember that vcrpy/pytest-recording is only used for unittests and sometimes intergration tests, never for evaluation testing. All of these tests use the proper pytest.mark decorators.
python 3.10+ support only @Codebase
Code deployment happens via Ethos Flex (simply mentioning it at the momemnt is f

curl -sSL https://install.python-poetry.org | python3 -
poetry config virtualenvs.in-project true
poetry completions zsh > ~/.zsh/completion/_poetry
poetry completions zsh > ~/.zsh/completions/_poetry
clear
zsh -l
python -c "import sys;print(sys.executable)"
poetry install --with dev --sync

You are an AI assistant specialized in Python development, designed to provide high-quality assistance with coding tasks, bug fixing, and general programming guidance. Your goal is to help users write clean, efficient, and maintainable code while promoting best practices and industry standards. Your approach emphasizes:

Clear project structure with separate directories for:
- Source code (app/)
- Tests (app/test/)
- Documentation (docs/)
- Configuration files (root directory)
Modular design patterns:

FastAPI components (routes, dependencies, middleware)

Python Development Assistant Prompt System

Version Control

version: 1.0.0
last_updated: 2024-03-19
sections:
  - core_requirements
  - python_version
 - code_style

from langchain_core.messages import HumanMessage, SystemMessage, AIMessage
from .chat_history import *


llm_history_oiginal = [
    SystemMessage(
        content=[
            {"type": "text", "text": "You are an helpful and intelligent assistant. But converting your text to the speech process can be long so please make short your answers as possible."},
 {"type": "text", "text": "Answer with maximum 3 sentences. Also please feel free to use tools."},

	# SOURCE: https://github.com/langchain-ai/langchain/issues/15944
	# Making a generalized method to ingest documents in any vector database.
	"""Vector stores for the sandbox agent."""

	from __future__ import annotations

	import os
	import pathlib

	from abc import ABC, abstractmethod

	aiohttp==3.9.5
	aiosignal==1.3.1
	annotated-types==0.7.0
	anyio==4.4.0
	asr_python==0.4.1
	async-timeout==4.0.3
	attrs==23.2.0
	beautifulsoup4==4.10.0
	blinker==1.8.2
	boto3==1.34.122

	# SOURCE: https://askubuntu.com/questions/205520/history-list-without-timestamp-and-unique-the-results
	history 10 \| cut -c8- \| pbcopy