Aiconfig Migrate

Walks you through a five stage migration from hardcoded LLM prompts to LaunchDarkly AI Configs: audit what's hardcoded, wrap the provider call with the SDK, extract tool schemas, wire tracking around requests, and attach evaluators. Stops at each stage for confirmation instead of auto-running everything. Coverage is strongest for Python and Node.js one-shot completions, LangChain, and LangGraph agents, with worked examples for CrewAI and Strands. Three failure modes to watch for: putting the tracker inside a loop instead of once per turn, reusing LangChain wrapper helpers that silently drop parameters, and forgetting to flip the fallthrough targeting after creating the config. Best for teams already committed to LaunchDarkly who want structured guardrails around externalizing model configuration without rewriting application logic.