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52 lines
2.0 KiB
Python
52 lines
2.0 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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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
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from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
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import google.auth
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BIGQUERY_AGENT_NAME = "adk_sample_bigquery_mcp_agent"
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BIGQUERY_MCP_ENDPOINT = "https://bigquery.googleapis.com/mcp"
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BIGQUERY_SCOPE = "https://www.googleapis.com/auth/bigquery"
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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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credentials, project_id = google.auth.default(scopes=[BIGQUERY_SCOPE])
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credentials.refresh(google.auth.transport.requests.Request())
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oauth_token = credentials.token
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bigquery_mcp_toolset = McpToolset(
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connection_params=StreamableHTTPConnectionParams(
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url=BIGQUERY_MCP_ENDPOINT,
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headers={"Authorization": f"Bearer {oauth_token}"},
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)
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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 using MCP."
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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 provided via MCP.
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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_mcp_toolset],
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)
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