Intelligent Content Generation Accelerator

A multimodal content generation solution for retail marketing campaigns using Microsoft Agent Framework with HandoffBuilder orchestration. The system interprets creative briefs and generates compliant marketing content (text and images) grounded in enterprise product data, brand guidelines, and product images.

Overview

This accelerator provides an internal chatbot that can:

• Interpret Creative Briefs: Parse free-text creative briefs into structured fields (overview, objectives, target audience, key message, tone/style, deliverable, timelines, visual guidelines, CTA)
• Generate Multimodal Content: Create marketing copy and images using GPT models and DALL-E 3
• Ensure Brand Compliance: Validate all content against brand guidelines with severity-categorized warnings
• Ground in Enterprise Data: Leverage product information, product images, and brand guidelines stored in Azure services

Architecture

Backend

• Runtime: Python 3.11 + Quart + Hypercorn
• Deployment: Azure Container Instance (ACI) in private VNet
• Authentication: System-assigned Managed Identity

Frontend

• Framework: React + Vite + TypeScript + Fluent UI
• Deployment: Azure App Service with Node.js proxy
• Features: Server-Sent Events (SSE) for streaming responses

Specialized Agents (Microsoft Agent Framework)

The solution uses HandoffBuilder orchestration with 6 specialized agents:

Agent	Role
TriageAgent	Coordinator that routes user requests to appropriate specialists
PlanningAgent	Parses creative briefs, develops content strategy, returns for user confirmation
ResearchAgent	Retrieves products from CosmosDB, fetches brand guidelines, assembles grounding data
TextContentAgent	Generates marketing copy (headlines, body, CTAs) using GPT
ImageContentAgent	Creates marketing images via DALL-E 3 with product context
ComplianceAgent	Validates content against brand guidelines, categorizes violations

Compliance Severity Levels

Level	Description	Action
Error	Legal/regulatory violations	Blocks acceptance until modified
Warning	Brand guideline deviations	Review recommended
Info	Style suggestions	Optional improvements

Azure Services

Service	Purpose
Azure OpenAI (GPT)	Text generation and content creation
Azure OpenAI (DALL-E 3)	Image generation (can be separate resource)
Azure Cosmos DB	Products catalog, chat conversations
Azure Blob Storage	Product images, generated images
Azure Container Instance	Backend API hosting
Azure App Service	Frontend hosting
Azure Container Registry	Container image storage

Creative Brief Fields

The system extracts the following fields from free-text creative briefs:

1. Overview - Campaign summary
2. Objectives - Goals and KPIs
3. Target Audience - Demographics and psychographics
4. Key Message - Core messaging
5. Tone and Style - Voice and manner
6. Deliverable - Expected outputs
7. Timelines - Due dates and milestones
8. Visual Guidelines - Image requirements
9. CTA - Call to action

Product Schema

{
  "product_name": "string",
  "category": "string",
  "sub_category": "string",
  "marketing_description": "string",
  "detailed_spec_description": "string",
  "sku": "string",
  "model": "string",
  "image_description": "string (auto-generated via GPT-5 vision)",
  "image_url": "string"
}

Getting Started

Prerequisites

• Azure subscription with access to:
  • Azure OpenAI (GPT model - GPT-4 or higher recommended)
  • Azure OpenAI (DALL-E 3 - can be same or different resource)
  • Azure Cosmos DB
  • Azure Blob Storage
  • Azure Container Instance
  • Azure App Service
  • Azure Container Registry
• Azure CLI >= 2.50.0
• Docker (optional - ACR can build containers)
• Python 3.11+
• Node.js 18+

Quick Deployment (Recommended)

Using Azure Developer CLI (azd):

# Clone the repository
git clone <repository-url>
cd content-gen

# Deploy everything with one command
azd up

See docs/AZD_DEPLOYMENT.md for detailed azd deployment instructions.

Manual Deployment

For more control over individual resources:

# Clone the repository
git clone <repository-url>
cd content-gen

# Run deployment script
./scripts/deploy.sh

See docs/DEPLOYMENT.md for detailed manual deployment instructions.

Local Development

# Backend
cd src
pip install -r requirements.txt
python app.py

# Frontend
cd src/app/frontend
npm install
npm run dev

Configuration

Environment Variables

See src/backend/settings.py for all configuration options. Key settings:

Variable	Description
AZURE_OPENAI_ENDPOINT	Azure OpenAI endpoint for GPT model
AZURE_OPENAI_DEPLOYMENT_NAME	GPT model deployment name
AZURE_OPENAI_DALLE_ENDPOINT	Azure OpenAI endpoint for DALL-E (if separate)
AZURE_OPENAI_DALLE_DEPLOYMENT	DALL-E deployment name (dall-e-3)
COSMOS_ENDPOINT	Azure Cosmos DB endpoint
COSMOS_DATABASE	Cosmos DB database name
AZURE_STORAGE_ACCOUNT_NAME	Storage account name
BRAND_*	Brand guideline parameters

Brand Guidelines

Brand guidelines are configured via environment variables with the BRAND_ prefix:

BRAND_TONE=Professional yet approachable
BRAND_VOICE=Innovative, trustworthy, customer-focused
BRAND_PROHIBITED_WORDS=guarantee,best,only,exclusive
BRAND_REQUIRED_DISCLOSURES=Terms apply,See details
BRAND_PRIMARY_COLOR=#0078D4
BRAND_SECONDARY_COLOR=#107C10

Documentation

• Local Development Guide - Run locally for development
• AZD Deployment Guide - Deploy with Azure Developer CLI
• Manual Deployment Guide - Step-by-step manual deployment
• Image Generation Configuration - DALL-E 3 and GPT-Image-1 setup
• API Reference

License

MIT License - See LICENSE for details.