Log Insight - AI-Powered Log Analysis

An intelligent log analysis tool that uses LLMs to provide deep insights into system logs.

Features

• AI-powered log analysis using OpenAI's GPT models
• Identification of issues, patterns, and anomalies
• Root cause analysis and remediation suggestions
• Real-time visualization of log patterns
• Support for various log formats

Installation

1. Clone the repository:

git clone https://github.com/yourusername/log-insight.git
cd log-insight

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Copy .env.example to .env and add your OpenAI API key:

cp .env.example .env
# Edit .env and add: OPENAI_API_KEY=your_key_here

Usage

Basic usage:

from src.analyzers.llm import LLMAnalyzer
from src.data.log_parser import LogParser

# Initialize components
parser = LogParser(chunk_size=10)
analyzer = LLMAnalyzer(api_key="your-api-key")

# Analyze logs
for log_chunk in parser.parse_file("path/to/logs.txt"):
    analysis = analyzer.analyze_chunk(log_chunk)
    print(analysis)

Project Structure

log-insight/
├── src/
│   ├── analyzers/      # Log analysis implementations
│   ├── visualization/  # Data visualization
│   ├── data/          # Log parsing and data handling
│   └── utils/         # Helper utilities
└── tests/             # Test cases

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.