"""Canonical Gemma 4 call via the google-genai Python SDK (Gemini API).

Source: https://ai.google.dev/gemma/docs/core/gemma_on_gemini_api

Install:  pip install google-genai
Env:      GEMINI_API_KEY=...  (from https://aistudio.google.com/apikey)

Hosted model IDs (2026-04):
  - gemma-4-31b-it
  - gemma-4-26b-a4b-it

The E-series (E2B, E4B) is NOT exposed via the Gemini API — those are
on-device-only checkpoints. For them you must self-host (Ollama,
llama.cpp, vLLM, MLX).
"""

from google import genai

client = genai.Client()  # picks up GEMINI_API_KEY from env

response = client.models.generate_content(
    model="gemma-4-26b-a4b-it",
    contents="Write a haiku about inference framework fragmentation.",
)

print(response.text)