Google Gemini

pip install "egisai[google]"          # google-genai
pip install "egisai[google-legacy]"   # google-generativeai

import egisai
from google import genai

egisai.init(app="gemini-bot", env="production")

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

response = client.models.generate_content(
    model="gemini-2.0-flash",
    contents="Hello!",
)
print(response.text)

response = await client.aio.models.generate_content(
    model="gemini-2.0-flash",
    contents="Hello!",
)

for chunk in client.models.generate_content_stream(
    model="gemini-2.0-flash",
    contents="Tell me a story.",
):
    if chunk.text:
        print(chunk.text, end="", flush=True)

import egisai
import google.generativeai as genai

egisai.init(app="gemini-bot", env="production")

genai.configure(api_key="AIza…")
model = genai.GenerativeModel("gemini-1.5-pro")

response = model.generate_content("Hello!")
print(response.text)

response = model.generate_content("Tell me a story.", stream=True)
for chunk in response:
    if chunk.text:
        print(chunk.text, end="", flush=True)

egisai.init(..., on_block="stub")