Elastic LLM Observability

Elastic LLM Observability extends Elastic Observability to monitor agentic and generative AI applications so teams can detect risks, resolve issues, and keep them production ready. It offers curated dashboards for major LLM platforms including Amazon Bedrock, Azure AI Foundry, OpenAI, and Anthropic, plus step-by-step tracing of LangChain requests, failed LLM calls, agentic workflows, prompts, tools called, and responses.

The product also covers AI cost and safety. Teams can break down spend by model, query, and token consumption and spot cost anomalies, while guardrails monitoring helps surface sensitive data leaks, harmful content, hallucinations, and prompt injection attempts. It integrates with popular tracing libraries and major LLM providers, and is aimed at SREs and developers who run agentic AI applications.