6fd7213076
- Set up FastAPI backend with modular structure: - main.py for API routing - copywriter.py for AI-powered content generation using Cohere - embeddings.py for generating and reranking content embeddings - vector_store.py for FAISS-based similarity search - brand_style.py for managing brand tone, taboo words, and preferred terms - config.py for managing environment and application settings - Configured RESTful API endpoints: /generate-copy, /brand-style, /training-data, /improve-content, /analyze-content - Created frontend with vanilla HTML, CSS, and JS (index.html, styles.css, app.js) - Integrated brand style management for tone, voice, taboo words, and terminology - Implemented vector search for referencing similar historical content - Enabled training data input to improve future AI output - Added environment variable support for API keys and model configs - Structured data storage with local JSON and DB files - Added developer documentation, API reference, and project setup instructions This commit provides the foundation for a full-stack, AI-driven content creation platform that ensures brand consistency, speeds up marketing workflows, and supports iterative improvement over time.
3.9 KiB
3.9 KiB
Marketing Assistant AI - API Documentation
API Endpoints
Generate Copy
Generates marketing copy based on the provided prompt and optional parameters.
Endpoint: /generate-copy
Method: POST
Content-Type: application/json
Request Body:
{
"prompt": "Write a social media post for our new product launch",
"content_type": "social_media",
"tone": "excited",
"length": "medium",
"include_cta": true
}
Parameters:
prompt(string, required): The main instruction for generating contentcontent_type(string, optional): Type of content to generate (social_media, email, blog, website, etc.)tone(string, optional): Desired tone (excited, professional, casual, etc.)length(string, optional): Content length (short, medium, long)include_cta(boolean, optional): Whether to include a call to action
Response:
{
"status": "success",
"content": "Exciting news! Our revolutionary new product has just landed...",
"suggestions": [
"Alternative headline option 1",
"Alternative headline option 2"
],
"metadata": {
"content_type": "social_media",
"tone": "excited",
"word_count": 85,
"generated_at": "2025-04-17T10:30:45Z"
}
}
Get Brand Style Guidelines
Retrieves the current brand style guidelines.
Endpoint: /brand-style
Method: GET
Response:
{
"brand_name": "Adriana James",
"tone": ["professional", "friendly", "inspiring"],
"voice_characteristics": ["clear", "direct", "empowering"],
"taboo_words": ["cheap", "discount", "bargain"],
"preferred_terms": {
"customers": "clients",
"products": "solutions"
}
}
Update Brand Style
Updates the brand style guidelines.
Endpoint: /brand-style
Method: PUT
Content-Type: application/json
Request Body:
{
"tone": ["professional", "friendly", "inspiring", "innovative"],
"voice_characteristics": ["clear", "direct", "empowering"],
"taboo_words": ["cheap", "discount", "bargain", "basic"],
"preferred_terms": {
"customers": "clients",
"products": "solutions",
"problems": "challenges"
}
}
Response:
{
"status": "success",
"message": "Brand style updated successfully"
}
Add Training Data
Adds new marketing content for AI training.
Endpoint: /training-data
Method: POST
Content-Type: application/json
Request Body:
{
"content_type": "email_campaign",
"content": "Dear valued client, We're thrilled to announce...",
"metadata": {
"campaign_name": "Spring Launch 2025",
"performance_metrics": {
"open_rate": 0.42,
"click_rate": 0.15
}
}
}
Response:
{
"status": "success",
"message": "Training data added successfully",
"data_id": "12345"
}
List Training Data
Retrieves a list of available training data.
Endpoint: /training-data
Method: GET
Query Parameters:
content_type(optional): Filter by content typepage(optional): Page number for paginationlimit(optional): Number of items per page
Response:
{
"items": [
{
"id": "12345",
"content_type": "email_campaign",
"preview": "Dear valued client, We're thrilled to announce...",
"added_at": "2025-04-10T14:30:00Z"
},
{
"id": "12346",
"content_type": "social_media",
"preview": "Exciting news! Our revolutionary new product...",
"added_at": "2025-04-11T09:15:00Z"
}
],
"pagination": {
"total": 45,
"page": 1,
"limit": 10,
"pages": 5
}
}
Error Handling
All endpoints return standard HTTP status codes:
200 OK: Request successful400 Bad Request: Invalid request parameters401 Unauthorized: Authentication failed404 Not Found: Resource not found500 Internal Server Error: Server-side error
Error response format:
{
"status": "error",
"message": "Detailed error message",
"error_code": "ERROR_CODE"
}