adsoverai 1.0.0

Python SDK for AdsOverAI - Native advertising for AI chat interfaces

Python SDK for AdsOverAI - Native advertising for AI chat interfaces

Features

• 🎯 Context-Aware Ads - Display relevant ads based on AI conversation context
• ⚡ Fast & Lightweight - Optimized for performance with built-in caching
• 🔒 Type Safe - Full type hints and validation
• 🛡️ Error Handling - Comprehensive exception handling
• 🌙 Theme Support - Light, dark, and auto theme modes
• 📝 Logging - Debug mode with detailed logging

Installation

pip install adsoverai

Quick Start

from adsoverai import AdsOverAI

# Initialize the client
client = AdsOverAI(
    api_key="your-api-key",
    max_ads=3,
    theme="auto"
)

# Fetch ads based on conversation context
ads = client.get_ads(
    query="What are the best running shoes?",
    response="Here are some great running shoe options..."
)

# Display ads
for ad in ads:
    print(f"Title: {ad.title}")
    print(f"Description: {ad.description}")
    print(f"URL: {ad.url}")
    print("---")

Convenience Function

from adsoverai import get_ads

ads = get_ads(
    api_key="your-api-key",
    query="best headphones",
    response="Here are top-rated headphones...",
    max_ads=2
)

API Reference

AdsOverAI

Main client class for the SDK.

Parameters

• api_key (str, required): Your AdsOverAI API key
• max_ads (int, default=3): Maximum number of ads to return (1-10)
• theme (str, default="auto"): Theme preference ("light", "dark", "auto")
• api_url (str): API endpoint URL
• debug_mode (bool, default=False): Enable debug logging
• timeout (int, default=10): Request timeout in seconds
• cache_ttl (int, default=300): Cache time-to-live in seconds

Methods

get_ads(query, response, max_ads=None, use_cache=True)

Fetch contextual ads based on conversation.

clear_cache()

Clear all cached results.

update_config(max_ads=None, theme=None, debug_mode=None)

Update client configuration.

close()

Close the session and cleanup resources.

AdResult

Data class representing an ad result.

Attributes

• title (str): Ad title
• description (str): Ad description
• url (str): Ad URL
• image_url (str, optional): Ad image URL
• advertiser (str, optional): Advertiser name
• cta_text (str): Call-to-action text
• metadata (dict): Additional metadata

Advanced Usage

Context Manager

with AdsOverAI(api_key="your-key") as client:
    ads = client.get_ads(query="...", response="...")
    for ad in ads:
        print(ad.title)
# Session automatically closed

Error Handling

from adsoverai import AdsOverAI, AuthenticationError, APIError

try:
    client = AdsOverAI(api_key="your-key")
    ads = client.get_ads(query="...", response="...")
except AuthenticationError:
    print("Invalid API key")
except APIError as e:
    print(f"API error: {e}")

Debug Mode

client = AdsOverAI(
    api_key="your-key",
    debug_mode=True  # Enable detailed logging
)

Cache Control

# Disable cache for a specific request
ads = client.get_ads(
    query="...",
    response="...",
    use_cache=False
)

# Clear all cached results
client.clear_cache()

Examples

See the examples/ directory for more usage examples:

• basic_usage.py - Simple usage example
• advanced_usage.py - Advanced features
• django_integration.py - Django integration example

Development

Setup

git clone https://github.com/adsoverai/python-sdk.git
cd python-sdk
pip install -e ".[dev]"

Run Tests

pytest

Code Formatting

black adsoverai/ tests/
flake8 adsoverai/ tests/
mypy adsoverai/

Support

• 📧 Email: [e-mail]
• 🌐 Website: https://www.adsoverai.com
• 📚 Documentation: https://docs.adsoverai.com
• 🐛 Issues: https://github.com/adsoverai/python-sdk/issues

License

MIT © AdsOverAI Team