pylib-fetcher 0.1.0

Async HTTP client with caching and metrics. Network utilities for AI agents. Perfect for AI agents and LLM applications.

pyfetcher

Async HTTP client

Installation

pip install pyfetcher

💡 Usage Examples

Basic Operations

from pylib_fetcher import fetch_async

# Async fetch
import asyncio

async def get_data():
    result = await fetch_async("https://api.example.com/data")
    return result

data = asyncio.run(get_data())

AI/ML Use Cases

from pylib_fetcher import fetch_async

# Fetch multiple AI API responses concurrently
results = await asyncio.gather(
    fetch_async(api_url1),
    fetch_async(api_url2),
    fetch_async(api_url3)
)

📚 API Reference

See package documentation for complete API reference.

🤖 AI Agent Friendly

This package is optimized for AI agents and code generation tools:

• Clear function names and signatures
• Comprehensive docstrings with examples
• Type hints for better IDE support
• Common use cases documented
• Zero dependencies for reliability

License

MIT