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  • Overview
  • Concepts
  • Tutorial - Trace a RAG application
Tracing setup
Configuration & troubleshooting
Viewing & managing traces
  • Filter traces
  • Query traces (SDK)
  • Compare traces
  • Share or unshare a trace publicly
  • View server logs for a trace
  • Bulk export trace data
Automations
  • Set up automation rules
  • Configure webhook notifications for rules
Feedback & evaluation
  • Log user feedback using the SDK
  • Set up online evaluators
Monitoring & alerting
  • Monitor projects with dashboards
  • Alerts
  • Configure webhook notifications for alerts
  • Insights (Beta)
Data type reference
  • Run (span) data format
  • Feedback data format
  • Trace query syntax

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  • GitHub
  • Forum
  • Forum
Get started
Observability
Evaluation
Prompt engineering
Deployment
Agent builder
Reference
Get started
Observability
Evaluation
Prompt engineering
Deployment
Agent builder
Reference
  • GitHub
  • Forum
  • Observability

    Welcome to the LangSmith Observability documentation. The following sections help you set up and use tracing, monitoring, and observability features:

    Set up tracing

    Configure tracing with basic options, framework integrations, or advanced settings for full control.

    View traces

    Access and manage traces via UI or API with filtering, exporting, sharing, and comparison tools.

    Monitor performance

    Create dashboards and set alerts to track performance and get notified when issues arise.

    Configure automations

    Use rules, webhooks, and online evaluations to streamline observability workflows.

    Collect feedback

    Gather and manage annotations on outputs using queues and inline annotation.

    Trace a RAG app

    Follow a step-by-step tutorial to trace a Retrieval-Augmented Generation application from start to finish.
    For terminology definitions and core concepts, refer to Observability concepts.

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