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2 changes: 1 addition & 1 deletion examples/launchmybakery/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ The agent autonomously queries BigQuery to find macro trends and uses Google Map

![Architecture Diagram](architecture_diagram.png)

The diagram above illustrates the flow of information in this demo. The Agent, powered by Gemini 3 Pro Preview, orchestrates requests between the user and Google Cloud services. It uses a remote (Google hosted) MCP server to securely access BigQuery for demographic and sales data, and Google Maps APIs for real-world location analysis and validation.
The diagram above illustrates the flow of information in this demo. The Agent, powered by Gemini 3.5 Flash, orchestrates requests between the user and Google Cloud services. It uses a remote (Google hosted) MCP server to securely access BigQuery for demographic and sales data, and Google Maps APIs for real-world location analysis and validation.

## Repository Structure

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2 changes: 1 addition & 1 deletion examples/launchmybakery/adk_agent/mcp_bakery_app/agent.py
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Expand Up @@ -11,7 +11,7 @@
bigquery_toolset = tools.get_bigquery_mcp_toolset()

root_agent = LlmAgent(
model='gemini-3.1-pro-preview',
model='gemini-3.5-flash',
name='root_agent',
instruction=f"""
Help the user answer questions by strategically combining insights from two sources:
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