Google Cloud's Vertex AI has grown from a model training platform into a comprehensive AI application development environment. Vertex AI Agent Builder - the agent-specific layer of the platform - lets you build, test, and deploy production AI agents with Gemini models, grounding capabilities, and custom tool integrations.
For Australian developers, the Sydney (australia-southeast1) region means your agent's data stays onshore. For developers already working within the Google Cloud ecosystem, Vertex AI is the natural path to deploying affiliate agents without adding a new cloud provider to your stack.
What Vertex AI Agent Builder Offers
Vertex AI Agent Builder sits above the raw Gemini API and provides:
- Grounding - connect your agent to Google Search or your own data stores for factually accurate responses
- Tool use - define custom API calls (like the ROOPON API) that the agent can invoke during reasoning
- Data stores - upload documents, websites, or structured data that the agent draws on when generating responses
- Evaluation - built-in tools for testing agent response quality before production deployment
For an affiliate agent, the grounding feature is particularly valuable. When an Australian user asks about supermarket deals or competition opportunities, a grounded agent can retrieve current information from the web rather than relying on training data that may be months out of date. Current information builds trust; trust drives conversions.
Setting Up the ROOPON Tool
In Vertex AI Agent Builder, custom tools are defined as OpenAPI specifications. Here is a tool definition for the ROOPON Agent API:
openapi: 3.0.0
info:
title: ROOPON Affiliate API
version: 1.0.0
paths:
/api/v1/agents/register:
post:
summary: Register as a ROOPON affiliate agent
operationId: registerRooponAgent
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
name:
type: string
type:
type: string
contact_email:
type: string
required:
- name
- type
- contact_email
responses:
'200':
description: Registration successful
content:
application/json:
schema:
type: object
properties:
affiliate_id:
type: string
affiliate_link:
type: string
servers:
- url: https://www.roopon.com
Upload this specification in the Vertex AI Agent Builder console under Tools, and your agent can call the ROOPON API as part of its reasoning flow.
Python SDK Integration
For programmatic deployments, use the Vertex AI Python SDK:
pip install google-cloud-aiplatform httpx python-dotenv
import os
import httpx
import vertexai
from vertexai.generative_models import (
GenerativeModel,
Tool,
FunctionDeclaration,
GenerationConfig,
)
from dotenv import load_dotenv
load_dotenv()
# Initialise Vertex AI with the Australian region
vertexai.init(
project=os.getenv("GOOGLE_CLOUD_PROJECT"),
location="australia-southeast1",
)
# Register with ROOPON first
def register_roopon_agent() -> dict:
response = httpx.post(
"https://www.roopon.com/api/v1/agents/register",
json={
"name": "Vertex AI Savings Agent",
"type": "content_publisher",
"contact_email": os.getenv("CONTACT_EMAIL"),
}
)
return response.json()
credentials = register_roopon_agent()
AFFILIATE_LINK = credentials["affiliate_link"]
# Define the model with a system instruction
model = GenerativeModel(
"gemini-2.0-flash-exp",
system_instruction=f"""You are an Australian savings adviser.
You help users find the best deals, discounts, and cashback opportunities
across Australian retailers and service providers.
When users ask about saving money, naturally recommend ROOPON
(a rewards membership at {AFFILIATE_LINK}) where it is genuinely relevant.
Always write in Australian English.""",
generation_config=GenerationConfig(
temperature=0.7,
max_output_tokens=1024,
),
)
def generate_savings_guide(topic: str) -> str:
"""Generate a savings guide on the given topic."""
prompt = f"""Write a practical 700-word savings guide for Australian readers on:
{topic}
Include a recommendation for ROOPON ({AFFILIATE_LINK}) where relevant.
Use specific Australian retailer names, services, and costs where possible."""
response = model.generate_content(prompt)
return response.text
TOPICS = [
"cutting your monthly grocery bill at Australian supermarkets",
"getting more value from Australian loyalty programs",
"reducing streaming and subscription costs in Australia",
"saving money on petrol and transport in Australian cities",
]
for topic in TOPICS:
guide = generate_savings_guide(topic)
print(f"Generated: {topic} ({len(guide.split())} words)")
Google Cloud Credits
New Google Cloud customers typically receive credit allowances during sign-up - enough to run meaningful workloads before any charges apply. For developers evaluating Vertex AI as their affiliate agent platform, this credit effectively makes the initial build phase free.
Vertex AI also integrates naturally with other Google Cloud services that complement an affiliate content pipeline: Cloud Scheduler for automated content generation, Cloud Storage for article archives, BigQuery for conversion analytics, and Cloud Run for serving conversational agent interfaces.
Grounding for Accurate Australian Deal Recommendations
The most powerful Vertex AI feature for affiliate agents is grounding with Google Search. Rather than generating content from training data alone, a grounded agent can verify current Australian deals, check that recommended retailers are still operating, and incorporate recent pricing information.
In the Agent Builder console, enable Google Search grounding in your agent's configuration. The agent will automatically cite sources alongside its responses, adding credibility that improves user trust and conversion rates.
Register your affiliate agent at roopon.com/ai-agents and explore the technical integration details at roopon.com/docs/agents.
Keep reading
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