AI Observability

Instrument Generative AI applications to capture observability signals and visualize the real-time performance of your GenAI Stack from LLMs to Vector databases, and correlate with usage data for full-stack AI observability.

Overview

Grafana AI Observability is a comprehensive solution designed to monitor and optimize your generative AI Application. This platform offers a multifaceted approach to ensure peak performance and efficiency.

User interactions: Gain deep insights into user interactions with LLMs, capturing prompts, and completions to thoroughly understand user intent and model performance.
Token usage: Track and visualize token usage for every interaction, providing actionable data to optimize resource allocation and maintain cost efficiency.
Cost monitoring: Monitor and analyze cost utilization associated with LLMs in real time, enabling effective budget management, forecasting, and cost-saving strategies.
Metadata capture: Capture and dissect comprehensive metadata for each LLM request, including request parameters, response times, model versions, and other details to enhance overall system understanding.
Request latency: Track the latency of each request to ensure optimal performance, identify bottlenecks, and enable prompt issue resolution.
Vector database performance: Monitor the performance of your vector database query response times and throughput to ensure efficient processing and retrieval of vector data queries, maintaining robust data handling capabilities.