Documentation Index
Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Code
cookbook/11_models/google/gemini/vertexai.py
"""
To use Vertex AI, with the Gemini Model class, you need to set the following environment variables:
export GOOGLE_GENAI_USE_VERTEXAI="true"
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_CLOUD_LOCATION="your-location"
Or you can set the following parameters in the `Gemini` class:
gemini = Gemini(
vertexai=True,
project_id="your-google-cloud-project-id",
location="your-google-cloud-location",
)
"""
from agno.agent import Agent, RunOutput # noqa
from agno.models.google import Gemini
agent = Agent(model=Gemini(id="gemini-2.0-flash-001"), markdown=True)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story")
Usage
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
Set up Vertex AI
Set your environment variables:export GOOGLE_GENAI_USE_VERTEXAI="true"
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_CLOUD_LOCATION="your-location"
Or configure in code:gemini = Gemini(
vertexai=True,
project_id="your-google-cloud-project-id",
location="your-google-cloud-location",
)
Install dependencies
uv pip install -U google-genai agno
Run Agent
python cookbook/11_models/google/gemini/vertexai.py