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6c999caa41
This allows to protect against any write operations (e.g. update or delete a table), useful for some agents that must only be used in a read-only mode, while the user may have write permissions. PiperOrigin-RevId: 769803741
63 lines
2.1 KiB
Python
63 lines
2.1 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 import llm_agent
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from google.adk.tools.bigquery import BigQueryCredentialsConfig
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from google.adk.tools.bigquery 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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RUN_WITH_ADC = False
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tool_config = BigQueryToolConfig(write_mode=WriteMode.ALLOWED)
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if RUN_WITH_ADC:
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# Initialize the tools to use the application default credentials.
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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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else:
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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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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 = llm_agent.Agent(
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model="gemini-2.0-flash",
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name="hello_agent",
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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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