chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:25:13 +08:00
commit ec2b666284
2231 changed files with 491535 additions and 0 deletions
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# Copyright 2026 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.
from . import agent
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{
"capabilities": {},
"defaultInputModes": [
"text/plain"
],
"defaultOutputModes": [
"application/json"
],
"description": "A Google BigQuery agent that helps manage users' data on Google BigQuery. Can list, get, and create datasets, as well as manage tables within datasets. Supports OAuth authentication for secure access to BigQuery resources.",
"name": "bigquery_agent",
"skills": [
{
"id": "dataset_management",
"name": "Dataset Management",
"description": "List, get details, and create BigQuery datasets",
"tags": [
"bigquery",
"datasets",
"google-cloud"
]
},
{
"id": "table_management",
"name": "Table Management",
"description": "List, get details, and create BigQuery tables within datasets",
"tags": [
"bigquery",
"tables",
"google-cloud"
]
},
{
"id": "oauth_authentication",
"name": "OAuth Authentication",
"description": "Secure authentication with Google BigQuery using OAuth",
"tags": [
"authentication",
"oauth",
"security"
]
}
],
"url": "http://localhost:8001/a2a/bigquery_agent",
"version": "1.0.0"
}
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# Copyright 2026 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 dotenv import load_dotenv
from google.adk import Agent
from google.adk.tools.google_api_tool import BigQueryToolset
# Load environment variables from .env file
load_dotenv()
# Access the variable
oauth_client_id = os.getenv("OAUTH_CLIENT_ID")
oauth_client_secret = os.getenv("OAUTH_CLIENT_SECRET")
tools_to_expose = [
"bigquery_datasets_list",
"bigquery_datasets_get",
"bigquery_datasets_insert",
"bigquery_tables_list",
"bigquery_tables_get",
"bigquery_tables_insert",
]
bigquery_toolset = BigQueryToolset(
client_id=oauth_client_id,
client_secret=oauth_client_secret,
tool_filter=tools_to_expose,
)
root_agent = Agent(
name="bigquery_agent",
instruction="""
You are a helpful Google BigQuery agent that help to manage users' data on Google BigQuery.
Use the provided tools to conduct various operations on users' data in Google BigQuery.
Scenario 1:
The user wants to query their bigquery datasets
Use bigquery_datasets_list to query user's datasets
Scenario 2:
The user wants to query the details of a specific dataset
Use bigquery_datasets_get to get a dataset's details
Scenario 3:
The user wants to create a new dataset
Use bigquery_datasets_insert to create a new dataset
Scenario 4:
The user wants to query their tables in a specific dataset
Use bigquery_tables_list to list all tables in a dataset
Scenario 5:
The user wants to query the details of a specific table
Use bigquery_tables_get to get a table's details
Scenario 6:
The user wants to insert a new table into a dataset
Use bigquery_tables_insert to insert a new table into a dataset
Current user:
<User>
{userInfo?}
</User>
""",
tools=[bigquery_toolset],
)