Open Source LLM Performance Tracker
An open source Next app template to monitor your AI apps
# Monitor & Report BuilderWhat is Open Source LLM Performance Tracker?
The LLM Performance Tracker is an open source Next + Tinybird app template built by the engineers at Tinybird to capture LLM call traces and analyze them in real-time.
Problem
Developers and teams using LLMs in their applications struggle to manually track and analyze LLM call performance, leading to inefficient debugging, lack of real-time insights, and difficulty scaling AI-powered features.
Solution
An open-source Next.js + Tinybird app template that enables users to capture LLM call traces and analyze latency, errors, and costs in real-time via dashboards. Example: Monitor OpenAI API response times and token usage per request.
Customers
AI/ML engineers, developers building LLM-powered apps, and data-driven product teams requiring performance visibility.
Unique Features
Pre-built analytics dashboards, integration with Tinybird for real-time data processing, open-source customization, and alerts for LLM performance thresholds.
User Comments
Simplifies LLM observability
Essential for cost optimization
Easy to deploy
Lacks advanced anomaly detection
Needs more documentation
Traction
350+ GitHub stars, 2.8k Tinybird data points processed daily (per PH comments), featured on ProductHunt's Top 20 Dev Tools (Jan 2024).
Market Size
The global AI monitoring market is projected to reach $11.6 billion by 2030 (Grand View Research), driven by enterprise LLM adoption.
