🧠 LogSage — AI-Powered Log Analyzer and Root Cause Analysis Agent

LogSage is a tool that lets you upload logs and get intelligent summaries of errors and likely root causes — powered by an LLM running locally or remotely.

📷 Demo

🚀 Features

• 📂 Upload Log Files: .log or .txt — web server, system, app logs, etc.
• 🔍 Error Extraction: Filters log content to highlight relevant warnings, exceptions, and errors.
• 🧠 LLM Analysis: Produces a short root cause summary and suggestions based on the log.

🧠 How It Works

• Uses a system prompt to guide the LLM into behaving like a log analyst
• Extracts lines with keywords like "error", "warn", "fail", "exception"
• Summarizes and explains the issue in plain English

🔧 Tech Stack

• Streamlit
• Ollama or LM Studio
• Python, requests

📦 Local Setup

git clone https://github.com/yourusername/logsage.git
cd logsage
streamlit run app.py

📁 Sample Logs

You can test with:

• Synthetic logs (generated by LLMs)
• Real web/app/system logs
• Public issue tracker logs

🧭 Future Vision

LogSage aims to become an agentic AI system administrator assistant :

• 🖥️ MCP Agent Integration: Automatically pull logs from the system via an MCP server
• 🤖 Agentic Chain-of-Thought: Multistep reasoning to isolate deeper infrastructure problems
• 🔄 Live Log Streaming Support: Real-time log tailing + LLM insights
• 🧬 Semantic Root Cause Graphing: Link symptoms, errors, systems, and resolutions
• 🗂️ Cross-log Correlation: Compare logs across services, servers, or microservices
• 🔐 SOC/DevOps Integration: APIs for Jira, PagerDuty, Grafana alerts