aiconfigs-skills

Create a new LaunchDarkly AI Config with variations, model configurations, and targeting. Use this skill to programmatically create AI Configs for agent or completion mode.

Configure LaunchDarkly AI Config targeting rules via API to control which users receive specific variations. Enable A/B tests, percentage splits, segment targeting, and multi-context rules.

Create, manage, and attach tools (functions) to LaunchDarkly AI Configs. Tools enable AI agents to interact with external systems, APIs, and databases.

Manage AI Config variations - add, update, retrieve, and delete variations from existing configs. Test different models, prompts, parameters, and tools within a single AI Config.

Access LaunchDarkly AI Configs through the REST API. Learn how to authenticate and perform operations not available through SDKs.

Build safe, scalable contexts for LaunchDarkly AI Configs with cardinality controls, multi-context patterns, and agent graph attributes.

Build and manage user contexts for LaunchDarkly AI Config targeting. Use this skill to create contexts with attributes for personalization, segmentation, and experimentation.

Create, track, retrieve, update, and delete custom business metrics in LaunchDarkly. Full lifecycle management via API and SDK.

Create LaunchDarkly projects to organize your AI Configs. Projects are containers that hold AI Configs, feature flags, and segments.

Use LaunchDarkly AI Configs in your Python application with the Python AI SDK. Consume AI Configs, use tools and custom parameters, handle fallbacks, and track metrics for both agent and completion modes.

Create and manage segments for AI Config targeting. Segments let you group contexts (users, organizations, devices) to target them as a unit in your AI Config rules.

Update and delete LaunchDarkly AI Configs. Learn how to modify existing AI Configs and manage their lifecycle.

Guide for instrumenting AI metrics tracking in an existing codebase using LaunchDarkly SDK.

Use Online Evaluations (LLM-as-a-judge) to automatically score AI Config responses for accuracy, relevance, and toxicity.