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LLM Hallucination Checks: Grounding and Answer Quality A useful AI answer should address the question and show where its factual claims come from. LLM hallucination checks help a team examine that relationship, but they work best alongside better source material and clear generation instructions. Treat the scores as signals for…

Virtual API Keys: Budgets, Model Access and Routing Boundaries An application credential should express which AI services the application can use and how its usage is governed. Virtual API keys make that boundary easier to manage without exposing provider credentials throughout the codebase. This guide combines model permissions, budgets, rate…

Multi-Tenant LLM Platforms: Workspace Access Boundaries A shared LLM platform becomes easier to operate when teams can reuse infrastructure while keeping their configuration and records appropriately separated. Workspace access boundaries are central to that design. The important question is not only which workspace appears in a selector, but how the…

OpenAI Gateway Migration: More Than a Base URL Change Changing a base URL can be the first step in an OpenAI gateway migration, especially for a small text application. A production migration also needs a clear contract for the requests the application actually uses. Confirm the endpoint, credentials, model route,…

Indirect Prompt Injection: Protect Retrieved Content An assistant may receive a perfectly ordinary request and then read a document containing instructions aimed at the assistant itself. That is the key idea behind indirect prompt injection: external material tries to cross from source data into control of the task. Keeping that…