A developer outlines a strategy for integrating LLMs like OpenAI, Claude, and Gemini into candidate scoring workflows, emphasizing the importance of a gateway abstraction for managing authentication, rate limits, and fallbacks. The author argues that while a gateway can simplify model calls and provide a consistent interface, critical data handling decisions such as region, retention, deletion, and processor promises must remain outside this abstraction. This separation is crucial for maintaining trust and compliance, especially when dealing with sensitive candidate information and cross-border data regulations. AI
IMPACT Provides a framework for developers to manage LLM integrations, focusing on data privacy and compliance.
RANK_REASON Developer opinion piece on LLM integration strategy.
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