Blog Archive

An AI application often starts with one model provider and a handful of prompts. As the application grows, the organization may want another option. Pricing, model quality, or service outages can all make a second provider worth considering. Switching providers can initially look as simple as changing an endpoint and API key. Many platforms accept similar message formats, generation parameters, and tool definitions. Some even provide compatibility endpoints for popular SDKs. That compatibility can make the first request easy to send, but production applications depend on much more than request syntax. Models interpret prompts differently, support different schema features, return different streaming events, and make different decisions about when to use tools. Those differences need to be addressed before a migration can be considered safe.