LangChain

Businesses are adopting generative AI for innovation, using client-side processing and semantic searches over domain-specific knowledge bases. LangChain helps to facilitate, build, run, and manage all these LLMs into usable applications.

Dynatrace provides a solution for tracking and revealing the full context of used technologies, service interaction topology, analyzing security vulnerabilities, and observing metrics, traces, logs, and business events in real-time – all done automatically and applicable to any output.

A dashboard can show these AI services' consumption, latency, availability, response time, error count, and request quantity.

Monitor Service Health and Performance

• Instantly detect bottlenecks by tracking real-time metrics, including request counts, durations, and error rates.
• Manage service costs with automated cost calculations for each request.
• Stay on track with SLOs by monitoring performance trends and proactively resolving potential issues.
• Maintain a healthy ecosystem with clear visibility into service incidents, reducing downtime and improving user experience.

Validate Service Quality

• Measure response speed using time-to-first-token, throughput, and token consumption rates per model.
• Identify performance hotspots at a glance, enabling you to maintain high-quality outputs and consistent SLAs.
• Prevent quality degradation by validating models and usage patterns in real-time.

End-to-end tracing and Debugging

• Achieve complete visibility of prompt flows, from initial request to final response, for faster root-cause analysis.
• Capture detailed debug data to troubleshoot issues in complex pipelines
• Streamline your workflows with granular tracing of LLM prompts, including response latency and model-level metrics.
• Resolve issues quicker by pinpointing exact problem areas in prompts, tokens, or system integrations.