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This section contains documentation on LaunchDarkly observability features. LaunchDarkly observability features let you understand how your application is performing and how end users are interacting with it. You can use the features to identify bugs, troubleshoot issues, and optimize performance. This section contains documentation on LaunchDarkly’s observability features. LaunchDarkly observability features let you understand how your application is performing and how end users are interacting with it. Use these features to identify bugs, troubleshoot issues, and optimize performance. Before you can use LaunchDarkly’s observability features, you must configure specific plugins in the SDK. To learn more, read the SDK documentation on Observability SDKs. In the left navigation of the LaunchDarkly UI, expand Telemetry to show all LaunchDarkly observability features: To learn more about the search specification for all of the observability features, read Search specification. To learn how to configure project-level settings for the observability features, read Observability settings.
Agent skills availableIf you use an AI coding agent, you can use these LaunchDarkly agent skills for this task:
  • investigate: Analyzes logs, traces, errors, sessions, and metrics to find the root cause of a bug or unexpected behavior. To install it, run npx skills add https://github.com/launchdarkly/ai-tooling --skill investigate.
  • create-fix-pr: Investigates a root cause and opens a minimal fix pull request for a bug or observability finding. To install it, run npx skills add https://github.com/launchdarkly/ai-tooling --skill create-fix-pr.
To learn more, read LaunchDarkly agent skills.