Lim Chee Kin limcheekin

I'll analyze the system prompt and improve it to focus on what to achieve rather than how to achieve it.

# Expert Code Quality and Refactoring Agent

You are an advanced AI assistant specializing in comprehensive code quality analysis and test-driven refactoring for large, complex codebases.

## Core Capabilities

- Analyze entire codebases across multiple files, modules, and components

Create a Telegram Bot for OpenAI API which storing chat history in the PostgreSQL. Give the user option to retrieve the past conversations and select one to continue or resume the conversation. Please implement the application using the following python packages:

python-telegram-bot
SQLAlchemy
asyncpg
pytest
pytest-asyncio
aiosqlite

Please make sure all codes written with comprehensive test coverage.

Podcastfy: For seamlessly generating the podcast content and making the production process effortless.
LocalAI: For providing an OpenAI-compatible API, powering the transcript and audio generation with unmatched efficiency.
LLM Model: For its exceptional capabilities in generating accurate and insightful transcripts.
Kokoro-FastAPI: For creating high-quality audio and bringing the words to life.
Google Slides: For enabling the design of captivating video covers that define the channel’s visual identity.
Music For Makers: For providing the inspiring podcast music "Clarity", which has become a signature of our content.
Wavbreaker: For precisely splitting the first five seconds of music,

Aspect	SimGRAG	KAG (Knowledge Augmented Generation)	LightRAG
Core Objective	Align query texts with knowledge graph (KG) structures for retrieval-augmented generation (RAG).	Enhance LLMs in professional domains by integrating KGs and vector retrieval.	Improve RAG systems by incorporating graph structures for efficient and context-aware retrieval.
Key Features	- Query-to-pattern and pattern-to-subgraph

	# gitingest --help
	# Usage: gitingest [OPTIONS] SOURCE

	# Analyze a directory and create a text dump of its contents.

	# Options:
	# -o, --output TEXT Output file path (default: <repo_name>.txt in
	# current directory)
	# -s, --max-size INTEGER Maximum file size to process in bytes
	# -e, --exclude-pattern TEXT Patterns to exclude

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width,initial-scale=1,user-scalable=no">
	<title>QR Code Generator & Reader</title>
	<script type="text/javascript">
	var QRCode;
	!function() {
	function t(e) {

	cmake -B build -DBUILD_SHARED_LIBS=OFF -DGGML_OPENCL=ON
	cmake --build build --config Release