gcs_json.py
"""
Example showing how to use AgentOS with JSON files hosted in GCS as database.
GCS JSON Database Setup:
- Uses JSON files stored in Google Cloud Storage as a lightweight database
- Only requires a GCS bucket name - authentication follows the standard GCP patterns:
* Local development: `gcloud auth application-default login`
* Production: Set GOOGLE_APPLICATION_CREDENTIALS env var to service account key path
* GCP instances: Uses instance metadata automatically
- Optional prefix parameter for organizing files (defaults to empty string)
- Automatically creates JSON files in the bucket as needed
Prerequisites:
1. Create a GCS bucket
2. Ensure proper GCS permissions
3. Install google-cloud-storage: `uv pip install google-cloud-storage`
"""
from agno.agent import Agent
from agno.db.gcs_json import GcsJsonDb
from agno.eval.accuracy import AccuracyEval
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.team.team import Team
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
# Setup the GCS JSON database
db = GcsJsonDb(bucket_name="agno_tests")
# Setup a basic agent and a basic team
agent = Agent(
name="JSON Demo Agent",
id="basic-agent",
model=OpenAIChat(id="gpt-4o"),
db=db,
update_memory_on_run=True,
enable_session_summaries=True,
add_history_to_context=True,
num_history_runs=3,
add_datetime_to_context=True,
markdown=True,
)
team = Team(
id="basic-team",
name="JSON Demo Team",
model=OpenAIChat(id="gpt-4o"),
db=db,
members=[agent],
debug_mode=True,
)
# Evaluation example
evaluation = AccuracyEval(
db=db,
name="JSON Demo Evaluation",
model=OpenAIChat(id="gpt-4o"),
agent=agent,
input="What is 2 + 2?",
expected_output="4",
num_iterations=1,
)
# evaluation.run(print_results=True)
# Create the AgentOS instance
agent_os = AgentOS(
id="json-demo-app",
description="Example app using JSON file database for simple deployments and demos",
agents=[agent],
teams=[team],
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent_os.serve(app="gcs_json:app", reload=True)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U "agno[os]" google-cloud-storage openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Authenticate with Google Cloud
Sign in with Application Default Credentials:
gcloud auth application-default login
5
Run the example
Save the code above as
gcs_json.py, then run:python gcs_json.py