For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocsGuidesSDKsIntegrationsAPI docsTutorialsFlagship blog
DocsGuidesSDKsIntegrationsAPI docsTutorialsFlagship blog
  • Guides
    • Cheatsheets
    • Feature flags
    • AgentControl
    • Experimentation
    • Statistical methodology
    • Metrics
    • Infrastructure
    • Account management
    • Teams and custom roles
    • SDKs
    • Integrations
    • REST API
      • Comparing LaunchDarkly's SDK and REST API
      • Using the LaunchDarkly REST API
      • REST API migration guide
    • Additional resources
  • Guides
  • Cheatsheets
  • Control and govern AI agents in production
  • Enable self-healing systems with runtime controls
  • Optimize AI performance and cost with AgentControl configs
  • Run continuous experiments in production
  • Ship AI-built code with AgentControl or CodeControl
  • Feature flags
  • Best practices for upgrading users to contexts
  • Creating flags
  • Deciding between flag targeting strategies
  • Defining and targeting mobile applications
  • Feature flag hierarchy
  • Flag conventions
  • Improving flag usage in code
  • LaunchDarkly CLI dev-server reference guide
  • Performing multi-stage migrations with migration flags
  • Reducing technical debt from feature flags
  • Testing code that uses feature flags
  • Using entitlements to manage customer experience
  • Using flags on static sites with JavaScript
  • Using the LaunchDarkly CLI for local testing
  • Using segments and targeting to manage early access programs
  • AgentControl
  • Getting started with OpenAI and AgentControl
  • Getting started with Anthropic Claude and AgentControl
  • Getting started with Google Gemini and AgentControl
  • Getting started with Amazon Bedrock and AgentControl
  • Getting started with LangChain and AgentControl
  • Getting started with LangGraph and AgentControl
  • Getting started with Strands and AgentControl
  • Managing AI model configuration outside of code
  • Using targeting to manage AI model usage by tier
  • When to use prompt-based vs agent mode
  • Building a chatbot with multiple AI providers using AgentControl
  • Experimentation
  • Creating an A/B experiment using a funnel metric group
  • Creating mutually exclusive experiments
  • Designing experiments
  • Example experiments
  • Experimentation best practices
  • Bayesian versus frequentist statistics
  • Maintaining consistency across user sessions when running experiments
  • Measuring Experimentation impact with holdout experiments
  • Migrating from Statsig to LaunchDarkly Experimentation
  • Proving ROI with data-driven AI agent experiments
  • Sample size calculations for frequentist experiments
  • Statistical methodology
  • Choosing a statistical methodology
  • Covariate adjustment and CUPED methodology
  • Statistical methodology for Bayesian experiments
  • Statistical methodology for frequentist experiments
  • Multiple comparisons correction
  • Stratified sampling
  • Sample ratio mismatch
  • Metrics
  • Building a metric import and sync integration
  • Example metrics
  • Understanding LaunchDarkly metrics
  • Using metrics from engineering insights
  • Infrastructure
  • Deployment and release strategies
  • Managing flags with Terraform
  • Using flags with Cloudflare Workers
  • Using LaunchDarkly in serverless environments
  • Account management
  • LaunchDarkly for large enterprise teams
  • Merging LaunchDarkly accounts
  • Migrating your existing feature flag solution to LaunchDarkly
  • Minimizing LaunchDarkly's access to end user data
  • Onboarding to views
  • Using LaunchDarkly with Protected Health Information (PHI)
  • Using SSO with LaunchDarkly
  • Teams and custom roles
  • Building teams in LaunchDarkly
  • Creating roles
  • Onboarding to preset roles
  • SDKs
  • Unit testing with Jest
  • Use cases for SDK wrappers
  • Using LaunchDarkly without a supported SDK
  • Using mobile SDKs
  • Using the Lua SDK with HAProxy
  • Using the Lua SDK with NGINX
  • Using the JavaScript SDK in Salesforce Lightning Web Components
  • Resilient architecture patterns for LaunchDarkly's SDKs
  • Integrations
  • About LaunchDarkly integrations
  • Integrations use cases
  • Using flag triggers with Dynatrace
  • Building a change history event hook integration
  • Building an ephemeral Environments as a Service integration
  • Building a synced segments integration
  • LaunchDarkly Shopify Pixel
  • REST API
  • Comparing LaunchDarkly's SDK and REST API
  • Using the LaunchDarkly REST API
  • REST API migration guide
  • Additional resources
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Guides

REST API

This category has guides that teach you about the LaunchDarkly REST API. The LaunchDarkly REST API lets you perform any action you can do in the LaunchDarkly platform’s UI. To learn more, read the API documentation.

  • Comparing LaunchDarkly’s SDK and REST API
  • Using the LaunchDarkly REST API
  • REST API migration guide
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