Why is Python aclosing() important in streaming?

It ensures that async generators in streaming APIs properly clean up resources like database connections or file handles, preventing memory leaks and hanging processes during exceptions.

How does this skill handle LLM token streaming?

It provides standardized patterns using ReadableStream and SSE to deliver tokens from the server to the frontend while managing backpressure and connection stability.

When should I use SSE instead of WebSockets?

Use SSE for one-way server-to-client streaming like LLM responses or notifications; use WebSockets for bidirectional needs like chat or collaborative editing where the client also needs to send data frequently.

Is this skill compatible with Next.js?

Absolutely. The skill includes specific implementations for Next.js Route Handlers and modern React patterns for consuming streams.

Does it support automatic reconnection?

Yes, it includes robust client-side reconnection logic with exponential backoff to ensure reliable real-time updates even during intermittent network failures.

Streaming API Patterns

Name: Streaming API Patterns
Author: yonatangross

byyonatangross

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API 개발

Implements high-performance real-time data streaming patterns using SSE, WebSockets, and ReadableStream APIs.

소개

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.

주요 기능

Bidirectional communication patterns using WebSockets for collaborative features
Standardized LLM token streaming for ChatGPT-style interfaces
Python-specific async generator cleanup patterns using aclosing() to prevent resource leaks
29 GitHub stars
Implementation of Server-Sent Events (SSE) for efficient server-to-client streaming
Robust reconnection strategies with exponential backoff and heartbeat mechanisms

사용 사례

Implementing real-time notifications and live data dashboards
Building ChatGPT-style streaming chat interfaces for LLM applications
Managing long-running background tasks with live progress updates

소개

주요 기능

Bidirectional communication patterns using WebSockets for collaborative features
Standardized LLM token streaming for ChatGPT-style interfaces
Python-specific async generator cleanup patterns using aclosing() to prevent resource leaks
29 GitHub stars
Implementation of Server-Sent Events (SSE) for efficient server-to-client streaming
Robust reconnection strategies with exponential backoff and heartbeat mechanisms

사용 사례

Implementing real-time notifications and live data dashboards
Building ChatGPT-style streaming chat interfaces for LLM applications
Managing long-running background tasks with live progress updates