I ran into a boring problem that kept wasting real time: my coding tool said gpt-5.5 , my provider said the deployment was called something else, and suddenly I was debugging configuration instead of code. Not model quality. Not prompts. Not token limits. Just names. The mismatch that keeps showing up A lot of AI tooling quietly assumes this: tool model name == provider model name == provider deployment name Enter fullscreen mode Exit fullscreen mode That is a nice fantasy. It falls apart the moment you use: Azure OpenAI deployments provider-specific aliases internal model mapping multiple CLI tools that all expect different protocol surfaces One tool wants gpt-5.5 .…