Implements high-performance real-time data streaming patterns using SSE, WebSockets, and ReadableStream APIs.
This skill provides standardized patterns for building robust real-time communication layers in modern web applications, covering everything from one-way Server-Sent Events (SSE) for LLM responses to bidirectional WebSockets for collaborative tools. It emphasizes production-ready features like exponential backoff reconnection, backpressure management, and critical Python resource cleanup using the aclosing() pattern to prevent memory leaks in async generators. Whether you are building a chat interface or a live data dashboard, these patterns ensure efficient, low-latency delivery.
Key Features
01Bidirectional communication patterns using WebSockets for collaborative features
02Standardized LLM token streaming for ChatGPT-style interfaces
03Python-specific async generator cleanup patterns using aclosing() to prevent resource leaks
0429 GitHub stars
05Implementation of Server-Sent Events (SSE) for efficient server-to-client streaming
06Robust reconnection strategies with exponential backoff and heartbeat mechanisms
Use Cases
01Implementing real-time notifications and live data dashboards
02Building ChatGPT-style streaming chat interfaces for LLM applications
03Managing long-running background tasks with live progress updates
