Why LLM Observability Matters

Organizations deploying LLMs to production face unique challenges beyond traditional software monitoring. Future AGI’s Observability goes beyond identifying issues to empower teams with actionable insights for continuous improvement. We provide comprehensive evaluation metrics that help you understand model performance and track quality over time.

Features

  • Real-time Monitoring: Monitor your LLM applications as they operate, receiving instant visibility into performance, latency, and quality metrics.
  • Model Reliability Assurance: Detect and address issues like hallucinations, factual inaccuracies, and inconsistent responses before they impact users.
  • Accelerated Troubleshooting: Quickly identify root causes of issues through detailed trace analysis and debugging tools.
  • Bias and Fairness Monitoring: Continuously evaluate models for potential bias or fairness concerns to ensure ethical AI deployment.
  • LLM Tracing: Capture detailed execution paths to troubleshoot application issues effectively
  • Session Management: Group related traces for comprehensive analysis of multi-turn interactions, Useful for debugging chatbot applications. Learn More ->
  • Alert System: Configure customized alerts for real-time issue detection and notification. Learn More ->

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