So. Three different SDKs.

No idea what any of those SDK names mean. But sure enoough searching will bring up all three of them for different combination of search terms, and none of them will point to the "recommend only using <a random name that is indistinguishable form other names>"

Oh, And some of these SDKs (and docs) do have a way to use this functionality without the SDKs, but not others. Because there are only 4 languages in the world, and everyone should be happy using them.

I think you can strongly influence which SDK your customers use by keeping the Python, Typescript, and Curl examples in the documentation up to date and uniformly use what you consider the ‘best’ SDK in the examples.

Overall, I think that Google has done a great job recently in productizing access to your models. For a few years I wrote my own utilities to get stuff done, now I do much less coding using Gemini (and less often ChatGPT) because the product offerings do mostly what I want.

One thing I would like to see Google offer is easier integrated search with LLM generation. The ‘grounding’ examples are OK, but for use in Python I buy a few Perplexity API credits and use that for now. That is the single thing I would most like to see you roll out.

EDIT: just looked at your latest doc pages, I like the express mode setup with a unified access to regular APIs vs. Vertex.

Thanks! - I like it too :)