I loaded 30 days of real LLM traces into a live demo. Here is what they reveal

1. 1Build a Torrix instance to log every LLM call
2. 2Configure cost calculation to track token-by-token expenses
3. 3Flag anomalies automatically to identify potential issues
4. 4Test Torrix with a live demo to see its capabilities in action
5. 5Apply Torrix to your own LLM project to optimize usage and costs

Developers and engineers working with LLMs can benefit from using Torrix to monitor and optimize their models, reducing unexpected costs and improving overall performance

💡 Torrix provides detailed logging and cost calculation to help developers identify and fix issues with their LLMs

🚀 Discover Torrix, a self-hosted LLM observability platform that helps you track and optimize your LLM usage and costs! 📊