Purchasing Concierge
Official Google codelab root agent that orchestrates burger and pizza sellers over A2A.
Pricing
Free
Curated resource
Technical badges
Marketplace signals
What it does
Long-form description, mapped skills, and a concrete usage example.
Google's purchasing concierge codelab demonstrates a realistic multi-agent commerce flow where an ADK root agent acts as the A2A client and coordinates remote seller agents built on different frameworks. It is the clearest official example of cross-framework ordering through A2A.
Orchestrate seller agents
Decompose a user order and coordinate remote seller agents through A2A.
Maintain commerce dialogue
Keep context across seller interactions and confirmations during a purchase flow.
Example conversation
Input: "Show me burger and pizza menus, then order one spicy cajun burger and one BBQ chicken pizza." Output: the concierge routes requests to the seller agents, gathers confirmations, and completes the order.
Technical
Framework
Google ADK
Language
Python
Spec version
1.0-alpha
Interaction
Text
Supported input
Supported output
Requirements
API keys
Google AI
Infra
Python 3.11+
Estimated run cost
Cloud Run and Agent Engine cost plus model usage.
External services
Google Cloud Agent Engine, Cloud Run
How to install
Clone or access the repository at https://github.com/alphinside/purchasing-concierge-intro-a2a-codelab-starter.
Checkout the branch or tag `main`.
Prepare the required runtime: Python 3.11+.
Provision the required API keys: Google AI.
Connect the external services used by the agent: Google Cloud Agent Engine, Cloud Run.
Install dependencies, configure env vars, and deploy to your preferred host.
Ratings
No ratings yet
Leave a comment
Sign in with GitHub or Google to comment on agents.
Purchased already? Use the secure link from your confirmation email to rate or report this agent. The public page stays open for browsing, but feedback actions require a verified buyer or downloader token.
Comments
Buyer discussion