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LangChain

LangChain

Monitor your generative AI LLM applications built by LangChain framework.

Technology
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View of in a single dashboards your LangChain powered application service Health, quality, performance and debugging
  • Product information

Overview

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.

Use cases

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.
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4 Results

Found in 'AI and LLM Observability'

LangChain logo

LangChain

Monitor your generative AI LLM applications built by LangChain framework.

Technology
  • langchain
  • ai
  • AI Observability
  • generative AI
  • Large Language Model (LLM)
LangGraph logo

LangGraph

Monitor and trace your LangChain Agents.

Technology
  • LangChain
  • Agents
  • AI
  • AI Agents
  • Anthropic
  • Bedrock
  • Claude
  • Gemini
  • LangGraph
  • LLM
  • OpenAI
OpenTelemetry for GenAI logo

OpenTelemetry for GenAI

Ingest and analyze OTel GenAI traces & metrics for your AI workloads.

Technology
  • langchain
  • agent
  • agentic ai
  • ai agents
  • ai observability
  • ai workload
  • bedrock
  • crewai
  • genai
  • gen_ai
  • generative ai
  • google gemini
  • langgraph
  • llm
  • openai
  • opentelemetry
  • otel
  • vertex
OneAgent for GenAI logo

OneAgent for GenAI

Monitor and trace your AI workloads and apps automatically with OneAgent.

Technology
  • langchain
  • agent
  • agentic ai
  • ai agents
  • ai observability
  • ai workload
  • amazon bedrock
  • aws bedrock
  • crewai
  • genai
  • gen_ai
  • generative ai
  • google genai
  • llm
  • mistral
  • oneagent
  • openai