ap2-setup

name	ap2-setup
description	Scaffold a new AP2 project — install the SDK, set up agent roles, configure credentials, and create a basic multi-agent payment system. Use when starting a new AP2 agentic payments project from scratch.

AP2 Project Setup

Before writing code

Fetch live docs:

1. Fetch https://ap2-protocol.org/ for the latest protocol overview
2. Fetch https://github.com/google-agentic-commerce/AP2 for the current README and installation instructions
3. Web-search site:github.com google-agentic-commerce AP2 samples python for the sample project structure
4. Fetch https://github.com/google-agentic-commerce/AP2/tree/main/samples/python for Python sample layout

Conceptual Architecture

What Setup Involves

An AP2 project creates a multi-agent payment system with distinct roles:

1. Install the AP2 Python package from GitHub
2. Create agent role directories — Shopping Agent, Merchant, Credentials Provider, Payment Processor
3. Configure authentication — Google API key or Vertex AI credentials
4. Define Agent Cards — each agent advertises its AP2 capabilities
5. Set up the agent framework — Google ADK (Agent Development Kit) is the reference framework

Installation

# Requires Python 3.10+ and uv
uv pip install git+https://github.com/google-agentic-commerce/AP2.git@main

Project Structure (Reference from Official Samples)

my-ap2-project/
├── roles/
│   ├── shopping_agent/           # Shopping Agent — orchestrates purchases
│   │   ├── __init__.py
│   │   └── agent.py
│   ├── merchant_agent/           # Merchant — product catalog, cart creation
│   │   ├── __init__.py
│   │   └── agent.py
│   ├── credentials_provider_agent/  # CP — payment methods, tokenization
│   │   ├── __init__.py
│   │   └── agent.py
│   └── merchant_payment_processor_agent/  # MPP — payment processing
│       ├── __init__.py
│       └── agent.py
├── .env                          # GOOGLE_API_KEY or Vertex AI config
├── pyproject.toml
├── run.sh                        # Launches all agents
└── tests/
    └── test_flow.py

Environment Configuration

Two authentication options:

• Google API Key (development): Set GOOGLE_API_KEY in .env
• Vertex AI (production): Set GOOGLE_CLOUD_PROJECT and GOOGLE_CLOUD_LOCATION

Agent Ports (Reference)

Each agent runs on its own port:

• Shopping Agent: port 8000 (with ADK web UI)
• Merchant Agent: separate port
• Credentials Provider: port 8002 (RPC path /a2a/credentials_provider)
• Payment Processor: separate port

Key Dependencies

• Python 3.10+
• uv — Python package manager (recommended)
• Google ADK — Agent Development Kit
• Gemini 2.5 Flash — LLM for agent reasoning
• AP2 types — ap2.types for mandate and payment structures

Key Decisions During Setup

• Which roles to implement — You may implement one role (e.g., just a Merchant) or all four
• Framework choice — ADK is reference, but AP2 works with LangGraph, CrewAI, AG2, or any framework
• Payment methods — Start with mocked payments for development
• A2A transport — Agents communicate via A2A protocol over HTTP

Best Practices

• Start with the official sample as a template
• Use mocked payment providers for development (no real money)
• Keep each agent role in a separate directory/module
• Use .env files for credentials, never hardcode
• Set up logging early — the .logs/watch.log pattern from samples is useful
• Test with the "verbose" mode to see all mandate payloads

Fetch the latest GitHub README and sample READMEs for exact setup commands, current package versions, and framework requirements before scaffolding.