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@onusozHave a long flight, so will think about this I have an internal 2023 TextCortex doc which models chatbots as state machines with internal and external states with immutability constraints on the external state (what is already sent to the user shall not be changed) Motivation was that a chatbot provider will always have state that they will want to keep hidden This was way before Responses and now deprecated Assistants API. It stood the test of time, because it was the most abstract thing I could think of @mitsuhiko is right about the risk of rushing to lock in an abstraction and locking in their weaknesses and faults Problem is, I could propose standards as much as I liked, but I don’t work at OpenAI or Anthropic, so nobody would care. Maybe a better place to start is open weights model libraries? To at least be able to demonstrate? What I know: it is against OpenAI’s or Anthropic’s self interests to create an interoperability layer that will accelerate their commoditization. Maybe Google, looking at their current market positioning? Or maybe we “wrappers” have a chance after all? There is a missing link between AI SDK, Langchain, and so on for other languages. We cannot keep duplicating same things in each ecosystem independently. We need to join forces and simplify all this!