Code
vertexai.py
Usage
1
Set up your virtual environment
2
Set up Vertex AI
Set your environment variables:Or configure in code:
3
Install dependencies
4
Run Agent
Save the code above as
vertexai.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Use Gemini through Vertex AI by setting environment variables or passing vertexai=True.
"""
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-3.5-flash"), 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")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Set up Vertex AI
export GOOGLE_GENAI_USE_VERTEXAI="true"
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_CLOUD_LOCATION="your-location"
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
vertexai.py, then run:python vertexai.py
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