The latest articles on DEV Community by samir hosni (@samirhosnimet). https://dev.to/samirhosnimet https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3949509%2F2585c1bf-b75a-4c22-9c7a-953a65a9c3c7.png https://dev.to/samirhosnimet en samir hosni Sun, 24 May 2026 19:47:09 +0000 https://dev.to/samirhosnimet/the-multi-provider-llm-problem-why-one-api-is-not-enough-k44 https://dev.to/samirhosnimet/the-multi-provider-llm-problem-why-one-api-is-not-enough-k44 <ol> <li>AI teams are moving from one model to many</li> <li>The hidden cost of multiple providers</li> <li>Why simple wrappers fail</li> <li>What developers actually need: <ul> <li>observability</li> <li>governance</li> <li>reliability</li> <li>raw response access</li> <li>routing transparency</li> </ul> </li> <li>What we are exploring with HUBAPI</li> <li>Ask for feedback</li> </ol> <p>I’m exploring this problem through HUBAPI, a pre-launch unified LLM API layer focused on provider access, request observability, routing transparency, scoped keys, and usage visibility.</p> <p>I’m not looking for signups as much as sharp feedback from developers who have actually dealt with multi-provider LLM workflows.</p> <p>What would you need before trusting a unified LLM API layer in production?</p> ai api discuss llm