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adk-python/contributing/samples/spanner/agent.py
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Google Team Member c8059428a2 chore: add contributing spanner sample
PiperOrigin-RevId: 795154839
2025-08-14 12:41:28 -07:00

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Python

# 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from google.adk.agents.llm_agent import LlmAgent
from google.adk.auth.auth_credential import AuthCredentialTypes
from google.adk.tools.spanner.settings import Capabilities
from google.adk.tools.spanner.settings import SpannerToolSettings
from google.adk.tools.spanner.spanner_credentials import SpannerCredentialsConfig
from google.adk.tools.spanner.spanner_toolset import SpannerToolset
import google.auth
# Define an appropriate credential type
CREDENTIALS_TYPE = AuthCredentialTypes.OAUTH2
# Define Spanner tool config with read capability set to allowed.
tool_settings = SpannerToolSettings(capabilities=[Capabilities.DATA_READ])
if CREDENTIALS_TYPE == AuthCredentialTypes.OAUTH2:
# Initiaze the tools to do interactive OAuth
# The environment variables OAUTH_CLIENT_ID and OAUTH_CLIENT_SECRET
# must be set
credentials_config = SpannerCredentialsConfig(
client_id=os.getenv("OAUTH_CLIENT_ID"),
client_secret=os.getenv("OAUTH_CLIENT_SECRET"),
scopes=[
"https://www.googleapis.com/auth/spanner.admin",
"https://www.googleapis.com/auth/spanner.data",
],
)
elif CREDENTIALS_TYPE == AuthCredentialTypes.SERVICE_ACCOUNT:
# Initialize the tools to use the credentials in the service account key.
# If this flow is enabled, make sure to replace the file path with your own
# service account key file
# https://cloud.google.com/iam/docs/service-account-creds#user-managed-keys
creds, _ = google.auth.load_credentials_from_file("service_account_key.json")
credentials_config = SpannerCredentialsConfig(credentials=creds)
else:
# Initialize the tools to use the application default credentials.
# https://cloud.google.com/docs/authentication/provide-credentials-adc
application_default_credentials, _ = google.auth.default()
credentials_config = SpannerCredentialsConfig(
credentials=application_default_credentials
)
spanner_toolset = SpannerToolset(
credentials_config=credentials_config, spanner_tool_settings=tool_settings
)
# The variable name `root_agent` determines what your root agent is for the
# debug CLI
root_agent = LlmAgent(
model="gemini-2.5-flash",
name="spanner_agent",
description=(
"Agent to answer questions about Spanner database tables and"
" execute SQL queries."
),
instruction="""\
You are a data agent with access to several Spanner tools.
Make use of those tools to answer the user's questions.
""",
tools=[spanner_toolset],
)