Optimize LLM performance with Site24x7 observability
Monitor and optimize your large language model (LLM) usage by gaining real-time visibility into model performance, costs, and security to ensure reliable, accurate, and compliant behavior.
Uncover performance lags, biases, or anomalies.
Get explainable root causes to trace prompt-response chains.
Correlate response time, throughout, and costs to optimize.
Cut alert fatigue, prioritize notifications, and ensure compliance.
Observe all popular LLMs
OpenAI
Google Gemini
Anthropic Claude
Azure OpenAI
Meta Llama
Amazon Bedrock
VertexAI
Watsonx
Openrouter
Mistral
Cohere
Benefits of LLM observability
Track LLM performance
Track metrics, logs, and traces to spot errors in LLM chains across your IT infrastructure.
Visualize, optimize, and improve
Trace slow or failed LLM request-response chains, spot model drifts, and visualize dependencies.
Fix root causes faster
Be the first to know about LLM deviations like distortions, correlate events, and fix the root cause to cut mean time to resolve.
Ensure LLM reliability
Handle dynamic LLM workloads, and process high-volume telemetry in real time to ensure reliable performance.
Eliminate alert fatigue
Stay ahead of the curve, filter irrelevant alerts, and experience reduced noise with intelligent filtering and prioritization.
FAQ
1. What is LLM observability?
It refers to monitoring and analyzing AI applications that consume LLM applications via providers or hosted solutions. LLM observability helps optimize performance, control costs, and ensure security and compliance in genAI-native environments.
2. How does Site24x7 help IT operations handle LLM metrics better and avoid alert fatigue?
Site24x7 knows when and how to alert you. The platform is equipped to filter irrelevant alerts, prioritize high-impact incidents like prompt injections or errors, and deliver notifications via applications of your choice. Site24x7 supports over 30 integrations to alert you the way you prefer, without overwhelming you.
3. What are the metrics supported by Site24x7's LLM observability?
It supports performance, cost, error, prompt-response, security, anomaly, and full-stack observability, with anomaly-based, knowledge-graph, and contextual correlation for comprehensive insights.
4. Can Site24x7 handle third-party LLM APIs?
Yes, it supports OpenAI, Gemini, Anthropic, Azure OpenAI, and more, with seamless integrations for Node.js, Python, and hybrid or multi-cloud environments.
5. How does Site24x7 ensure compliance?
By analyzing prompt-response pairs and detecting risks like data leaks or biases, Site24x7 can ensure compliance with the EU AI Act, the Algorithmic Accountability Act, and other AI transparency laws.