LLM Observability

Middleware's LLM Observability is a solution for monitoring, troubleshooting, and optimizing Large Language Model (LLM)-powered applications in real-time. It's crucial for ensuring the performance, reliability, and accuracy of LLMs, which are increasingly used in business-critical applications.

With Middleware, you can detect issues such as response errors, performance slowdowns, latency, errors, and token-related problems, enabling proactive addressing before they impact business operations or user experience.

Yes, LLM Observability allows you to capture essential LLM-specific metrics and create custom metrics tailored to your monitoring needs, ensuring consistency across data sources.

Yes, LLM Observability provides pre-built dashboards for quick insights into LLM application performance, visualizing token performance, cost, and request metrics to enhance decision-making.

Yes, Middleware's LLM Observability currently integrates with Traceloop and OpenLIT.

LLM Observability offers advanced visualization tools, including flame graphs and graphical representations for in-depth analysis, capturing full chat histories, and identifying trends and patterns.