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Gemini CLI

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1339 points sync | 1 comments | 25 Jun 25 13:10 UTC | HN request time: 0.206s | source
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iandanforth ◴[25 Jun 25 13:37 UTC] No.44377207[source]▶
I love how fragmented Google's Gemini offerings are. I'm a Pro subscriber, but I now learn I should be a "Gemini Code Assist Standard or Enterprise" user to get additional usage. I didn't even know that existed! As a run of the mill Google user I get a generous usage tier but paying them specifically for "Gemini" doesn't get me anything when it comes to "Gemini CLI". Delightful!
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behnamoh ◴[25 Jun 25 14:07 UTC] No.44377524[source]▶
Actually, that's the reason a lot of startups and solo developers prefer non-Google solutions, even though the quality of Gemini 2.5 Pro is insanely high. The Google Cloud Dashboard is a mess, and they haven't fixed it in years. They have Vertex that is supposed to host some of their models, but I don't understand what's the difference between that and their own cloud. And then you have two different APIs depending on the level of your project: This is literally the opposite of what we would expect from an AI provider where you start small and regardless of the scale of your project, you do not face obstacles. So essentially, Google has built an API solution that does not scale because as soon as your project gets bigger, you have to switch from the Google AI Studio API to the Vertex API. And I find it ridiculous because their OpenAI compatible API does not work all the time. And a lot of tools that rely on that actually don't work.

Google's AI offerings that should be simplified/consolidated:

- Jules vs Gemini CLI?

- Vertex API (requires a Google Cloud Account) vs Google AI Studio API

Also, since Vertex depends on Google Cloud, projects get more complicated because you have to modify these in your app [1]:

``` # Replace the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` values # with appropriate values for your project. export GOOGLE_CLOUD_PROJECT=GOOGLE_CLOUD_PROJECT export GOOGLE_CLOUD_LOCATION=global export GOOGLE_GENAI_USE_VERTEXAI=True ```

[1]: https://cloud.google.com/vertex-ai/generative-ai/docs/start/...

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cperry ◴[25 Jun 25 15:34 UTC] No.44378498[source]▶
@sachinag is afk but wanted me to flag that he's on point for fixing the Cloud Dashboard - it's WIP!
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1. plaidfuji ◴[25 Jun 25 18:59 UTC] No.44380750[source]▶
I will say as someone who uses GCP as an enterprise user and AI Studio in personal work, I was also confused about what Google AI Studio actually was at first. I was trying to set up a fork of Open NotebookLM and I just blindly followed Cursor’s guidance on how to get a GOOGLE_API_KEY to run text embedding API calls. Seems that it just created a new project under my personal GCP account, but without billing set up. I think I’ve been successfully getting responses without billing but I don’t know when that will run out.. suppose I’ll get some kind of error response if that happens..

I think I get why AI Studio exists, seems it enables people to prototype AI apps while hiding the complexity of the GCP console, despite the fact that (I assume) most AI Studio api calls are routed through Vertex in some way. Maybe it’s just confusing precisely because I’ve used GCP before.