[Bug] Arch -Linux + google-generativeai library python 3.13.7

[maynoreelias]

Producto: Selecciona Vertex AI.

Componente: Selecciona Generative AI o Gemini API.

Título del Problema: Error 404 v1beta persistente en Gemini API desde Arch Linux

Hello,
I am experiencing a persistent "404 Not Found ... API version v1beta" error when calling the Gemini API from my local machine, even though my code correctly specifies the 'gemini-1.5-flash-latest' model.

Evidence and Debugging Steps Taken:

1. The Code is Correct: My script uses MODEL_NAME = 'gemini-1.5-flash-latest'.
2. The API Key is Correct: The exact same code and API key work perfectly on Google Colab, but fail on my local machine. I have also tried creating new API keys in new, billed projects with the same result.
3. The Error Persists Across Python Versions: The error occurred on Python 3.13.7. I then used pyenv to install and use a stable Python 3.11.9, rebuilt the virtual environment from scratch, and the error still persists.
4. The Environment is Clean: We have confirmed via diagnostic scripts that Python 3.11.9 is active and the library is being loaded from the correct venv path. We have also tried reinstalling the library from GitHub (pip install git+...) to bypass any cache.
5. It's Not a Simple Network Issue: The error persists even after changing to a completely different Wi-Fi network (mobile hotspot).

The traceback always points to a v1beta client file, regardless of the Python version or clean environment. Given that the code and API key work on Google Colab, this points to a potential regional block or a very specific client-side issue with your servers when receiving requests from my location (Guatemala) on an Arch Linux system.

[maynoreelias]

Solution Found: 404 v1beta error is caused by an incorrect model name alias.

After extensive debugging, I've found the solution to the persistent 404 Not Found for API version v1beta error.

The Problem:
My script was failing when calling generate_content with a 404 error pointing to a deprecated model (...-002) and the v1beta API, even though my code was using what I thought was the correct model name.

The Solution:
The issue was a simple but crucial error in the model name. The correct alias for the latest Flash model is not gemini-1.5-flash-latest.

The fix is to change the model name in the code:

OLD (Incorrect): MODEL_NAME = 'gemini-1.5-flash-latest'

NEW (Correct): MODEL_NAME = 'gemini-flash-latest'

This single change completely resolved the error on a stable Python environment (3.11.9).

Additional Context for Advanced Users (e.g., Arch Linux on Python 3.13+):

For users on bleeding-edge systems, please note that this model name issue was compounded by a separate library incompatibility with the new Python 3.13.7. On that version, a faulty version of the google-generativeai library was being installed, which made debugging this much harder. The ultimate solution for that environment was to use pyenv to manage a stable Python version (like 3.11 or 3.12) OR apply a specific dependency fix (pinning grpcio versions).

However, for most users on stable Python versions, simply correcting the model name to gemini-flash-latest should be the definitive solution.

Closing this issue as resolved.