Monitor your AI stack with LLM observability
Detect risks, resolve issues, and keep your agentic and generative AI applications production-ready with Elastic Observability’s end-to-end monitoring capabilities.
CORE CAPABILITIES
Observe every layer of your agentic AI stack
Monitor performance, control costs, track guardrails, and keep GenAI workloads running reliably.
From libraries to models, we've got you covered
Elastic gives you end-to-end visibility for AI apps, integrating with popular tracing libraries and providing out-of-the-box insight into models from all major LLM providers including GPT-4o, Mistral, LLaMA, Anthropic, Cohere, and DALL·E.
DASHBOARD GALLERY
Integrations and capabilities for your AI apps
Track performance, safety, and spend across every model.
The Amazon Bedrock integration for Elastic Observability provides comprehensive visibility into Amazon Bedrock LLM performance, usage, and safety, including for models from Anthropic, Mistral, and Cohere.
End-to-end tracing and debugging for AI apps and agentic workflows
Use Elastic APM to analyze and debug AI apps with OpenTelemetry, supported through Elastic Distributions of OpenTelemetry (EDOT) for Python, Java, and Node.js, as well as third-party tracing libraries like LangTrace, OpenLIT, and OpenLLMetry.
Try the Elastic chatbot RAG app yourself!
This sample app combines Elasticsearch, LangChain, and various LLMs to power a chatbot with ELSER and your private data.
