The OpenAI-compatible API isn't an integration with OpenAI the company — it's support for a shared request format that most language-model providers now speak. A client written for one endpoint works with any compatible one after swapping the base URL, the access key and the model name, with no code rewrite.
What it is
OpenAI-compatible means a service accepts requests in the schema OpenAI first popularised. The format won by timing, not merit: tooling was built around it early, so every later provider and self-hosted runtime found it cheaper to speak the same dialect than to invent their own. Today the same interface is served by aggregators like OpenRouter (hundreds of models behind one key), self-host runtimes such as vLLM, Ollama and LM Studio, and the native endpoints of providers including DeepSeek, Groq and Mistral.
What you get
Supporting the standard will free Seyka from any single model provider. Switching models would become a matter of changing an address and a key rather than rewriting logic — handy for picking the right trade-off of speed, cost and reasoning depth per task. It would also open the door to a model running on your own infrastructure, so conversation data and site content can stay inside your perimeter. This is in preparation, with no promised date.