Create AI Config

You're using a skill that will guide you through creating an AI Config in LaunchDarkly. Your job is to understand the use case, choose the right mode, create the config and its variations, and verify everything is set up correctly.

⚠️ This skill creates a config — it does not make it servable. A freshly-created AI Config has its fallthrough pointing at an auto-generated disabled variation, not at the variation you just created. The SDK will return ai_config.enabled=False on every evaluation until you flip targeting on and point the fallthrough at your new variation. This is not a bug — it's the default state. You must run /aiconfig-targeting (or the equivalent REST / CLI call shown in Step 5) before verifying against the SDK, or verification will look like the LD-served path is broken when it isn't. The single most common failure mode users hit with this skill is skipping the targeting step and spending time debugging enabled=False in their application code.

Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

Primary MCP tool:

• setup-ai-config -- create a config with its first variation in one step (recommended)

Alternative MCP tools (for more control):

• create-ai-config -- create just the config shell (key, name, mode)
• create-ai-config-variation -- add a variation with model, prompts, and parameters
• get-ai-config -- verify the config was created correctly

Optional MCP tools (enhance workflow):