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Right now the bigquery sample agent is configured to run with OAuth, which requires some set up. This change makes it more readily usable, both locally and in AgentEngine, as Application Default Credentials (ADC) is easier to set up, and often local and AgentEngine environment already have it set up. PiperOrigin-RevId: 808315879
86 lines
3.5 KiB
Python
86 lines
3.5 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.auth.auth_credential import AuthCredentialTypes
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from google.adk.tools.bigquery.bigquery_credentials import BigQueryCredentialsConfig
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from google.adk.tools.bigquery.bigquery_toolset import BigQueryToolset
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from google.adk.tools.bigquery.config import BigQueryToolConfig
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from google.adk.tools.bigquery.config import WriteMode
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import google.auth
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# Define the desired credential type.
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# By default use Application Default Credentials (ADC) from the local
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# environment, which can be set up by following
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# https://cloud.google.com/docs/authentication/provide-credentials-adc.
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CREDENTIALS_TYPE = None
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# Define an appropriate application name
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BIGQUERY_AGENT_NAME = "adk_sample_bigquery_agent"
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# Define BigQuery tool config with write mode set to allowed. Note that this is
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# only to demonstrate the full capability of the BigQuery tools. In production
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# you may want to change to BLOCKED (default write mode, effectively makes the
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# tool read-only) or PROTECTED (only allows writes in the anonymous dataset of a
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# BigQuery session) write mode.
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tool_config = BigQueryToolConfig(
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write_mode=WriteMode.ALLOWED, application_name=BIGQUERY_AGENT_NAME
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)
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if CREDENTIALS_TYPE == AuthCredentialTypes.OAUTH2:
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# Initiaze the tools to do interactive OAuth
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# The environment variables OAUTH_CLIENT_ID and OAUTH_CLIENT_SECRET
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# must be set
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credentials_config = BigQueryCredentialsConfig(
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client_id=os.getenv("OAUTH_CLIENT_ID"),
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client_secret=os.getenv("OAUTH_CLIENT_SECRET"),
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)
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elif CREDENTIALS_TYPE == AuthCredentialTypes.SERVICE_ACCOUNT:
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# Initialize the tools to use the credentials in the service account key.
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# If this flow is enabled, make sure to replace the file path with your own
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# service account key file
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# https://cloud.google.com/iam/docs/service-account-creds#user-managed-keys
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creds, _ = google.auth.load_credentials_from_file("service_account_key.json")
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credentials_config = BigQueryCredentialsConfig(credentials=creds)
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else:
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# Initialize the tools to use the application default credentials.
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# https://cloud.google.com/docs/authentication/provide-credentials-adc
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application_default_credentials, _ = google.auth.default()
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credentials_config = BigQueryCredentialsConfig(
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credentials=application_default_credentials
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)
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bigquery_toolset = BigQueryToolset(
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credentials_config=credentials_config, bigquery_tool_config=tool_config
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)
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# The variable name `root_agent` determines what your root agent is for the
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# debug CLI
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root_agent = LlmAgent(
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model="gemini-2.0-flash",
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name=BIGQUERY_AGENT_NAME,
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description=(
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"Agent to answer questions about BigQuery data and models and execute"
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" SQL queries."
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),
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instruction="""\
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You are a data science agent with access to several BigQuery tools.
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Make use of those tools to answer the user's questions.
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""",
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tools=[bigquery_toolset],
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)
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