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76 lines
2.8 KiB
Python
76 lines
2.8 KiB
Python
# Copyright 2026 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.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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# Check necessary environment variables
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if not (google_cloud_project_id := os.getenv("GOOGLE_CLOUD_PROJECT")):
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raise ValueError(
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"GOOGLE_CLOUD_PROJECT environment variable is not set. Please set it"
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" to the GCP project ID where your BigQuery jobs would be run."
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)
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# Define an appropriate application name
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BIGQUERY_AGENT_NAME = "adk_eval_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.BLOCKED,
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application_name=BIGQUERY_AGENT_NAME,
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compute_project_id=google_cloud_project_id,
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)
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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-2.5-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=f"""\
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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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You must use the project id {google_cloud_project_id} for running SQL
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queries and generating data insights
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""",
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tools=[bigquery_toolset],
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)
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