文章摘要
Red Hat and Dynatrace have collaborated to deliver deep observability for large language models (LLMs) deployed on OpenShift AI, aiming to enhance visibility into generative AI applications.
- The solution leverages Dynatrace's OneAgent and OpenTelemetry to capture and analyze LLM-specific metrics.
- It provides insights into LLM operational details such as token usage, prompt and completion latency, model costs, and sentiment analysis.
- The integration enables performance optimization, cost control, and responsible AI practices for LLM workloads.
- This observability extends across the entire LLM lifecycle, from development to production on OpenShift AI.