LLM Observability

Monitor, troubleshoot, and optimize your LLM applications in real-time.

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LLM Observability

Troubleshoot, Optimize & Evaluate Your LLM Applications

Enhanced Decision-Making

Enhanced Decision-Making

  • Get data-driven insights for informed decisions, optimizing strategies and driving results.
  • Visualize token performance, cost, and request metrics for deeper insights and optimization.
  • Identify trends and patterns using advanced visualization tools for better insights.
Improved Performance And Troubleshooting

Improved Performance And Troubleshooting

  • Detect issues early to prevent impact on business operations and performance.
  • Proactively address performance slowdowns and latency for smoother operations and efficiency.
  • Investigate root causes with span-level details.
Increased Efficiency

Increased Efficiency

  • Automate monitoring and troubleshooting workflows.
  • Seamlessly integrate with leading LLM providers and frameworks for enhanced functionality.
  • Standardize data formats to ensure consistency across all sources.
Customized Monitoring

Customized Monitoring

  • Create customized metrics to meet specific monitoring requirements.
  • Utilize pre-built dashboards for rapid insights and data analysis.
  • Support for SDKs compatible with OpenTelemetry for enhanced observability.

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Testimonials 👤

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    Diagnose and Assess Your LLM Applications Effectively

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    FAQs

    Everything you want to know about the LLM Observability

    What is LLM Observability, and why is it important?

    Middleware’s LLM Observability is a solution for monitoring, troubleshooting, and optimizing Large Language Model (LLM)-powered applications in real-time. It's crucial for ensuring the performance, reliability, and accuracy of LLMs, which are increasingly used in business-critical applications.

    What types of issues can we detect with Middleware’s LLM Observability?

    With Middleware, you can detect issues such as response errors, performance slowdowns, latency, errors, and token-related problems, enabling proactive addressing before they impact business operations or user experience.

    Can I customize the metrics tracked by LLM Observability?

    Yes, LLM Observability allows you to capture essential LLM-specific metrics and create custom metrics tailored to your monitoring needs, ensuring consistency across data sources.

    Are pre-built dashboards available for LLM Observability?

    Yes, LLM Observability provides pre-built dashboards for quick insights into LLM application performance, visualizing token performance, cost, and request metrics to enhance decision-making.

    Does LLM Observability support integration with popular LLM providers and frameworks?

    Yes, Middleware’s LLM Observability currently integrates with Traceloop and OpenLIT.

    What visualization tools are available in LLM Observability?

    LLM Observability offers advanced visualization tools, including flame graphs and graphical representations for in-depth analysis, capturing full chat histories, and identifying trends and patterns.

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