agent.py

# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
#
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"""Example agent demonstrating S3 artifact storage.

This example shows how to configure an ADK agent to use Amazon S3 for
artifact storage using the community S3ArtifactService.

Before running:
1. Install: pip install google-adk-community boto3
2. Set AWS credentials (see README.md)
3. Create S3 bucket
4. Update bucket name below or set ADK_S3_BUCKET environment variable
"""
from __future__ import annotations

import os

from google.adk import Agent
from google.adk.apps import App
from google.adk_community.artifacts import S3ArtifactService

# Get bucket name from environment or use default
BUCKET_NAME = os.getenv("ADK_S3_BUCKET", "my-adk-artifacts")
AWS_REGION = os.getenv("AWS_REGION", "us-east-1")

# Initialize S3 artifact service
artifact_service = S3ArtifactService(
    bucket_name=BUCKET_NAME,
    region_name=AWS_REGION,
)

# Define the agent
root_agent = Agent(
    name="s3_artifact_agent",
    model="gemini-2.0-flash",
    instruction="""You are a helpful assistant that can save and retrieve files.
    
When users ask you to save information, use the save_artifact tool to store
it in S3. When they ask for previously saved information, use the load_artifact
tool to retrieve it.

Examples:
- "Save this report to a file called quarterly_report.pdf"
- "Load the file called quarterly_report.pdf"
- "List all my saved files"
""",
    description="An assistant that demonstrates S3 artifact storage",
)

# Create app with S3 artifact service
app = App(
    name="s3_artifact_example",
    root_agent=root_agent,
    artifact_service=artifact_service,
)