Why shouldn't I parse JSON mid-stream during tool use?

Partial JSON deltas received via SSE are not valid JSON objects. You must accumulate all deltas in a buffer and only parse the complete string after the 'content_block_stop' event occurs.

Can I display Claude's internal reasoning process as it happens?

Yes, the skill explicitly supports 'thinking_delta' and 'signature_delta' events, allowing you to progressively render Claude's extended thinking in your UI before the final text output.

How does this skill handle API timeouts for long responses?

The skill provides patterns for configuring HTTP clients with extended read timeouts (typically 60-120 seconds) and connection pooling to prevent premature disconnection during large generations.

What is the best way to handle 'overloaded_error' during a stream?

The skill recommends checking for error events even during HTTP 200 responses and implementing exponential backoff with retries for common status codes like 429 and 529.

SSE Streaming Integration

Name: SSE Streaming Integration
Author: Lobbi-Docs

byLobbi-Docs

Desarrollo de API

Implements real-time Server-Sent Events (SSE) for Claude API to enable progressive text output and synchronized tool execution.

Acerca de

This skill provides a comprehensive framework for handling Claude API's streaming capabilities, allowing developers to build responsive, low-latency interfaces that display content as it is generated. It simplifies the complex lifecycle of Server-Sent Events (SSE) by providing patterns for text deltas, tool use buffering, and extended thinking visualization. By incorporating robust error handling for overloaded events and optimized connection management, it ensures that your AI-powered applications remain stable during long-running generations and high-traffic scenarios.

Características Principales

Optimized HTTP connection pooling and keep-alive configurations
Real-time progressive text output via Server-Sent Events (SSE)
Safe tool use streaming with partial JSON buffer accumulation
Built-in error handling for 429 and 529 retriable status codes
Support for extended thinking and reasoning visualization deltas
0 GitHub stars

Casos de Uso

Developing resilient API integrations for long-running generative tasks
Building low-latency chat interfaces and interactive AI assistants
Visualizing complex multi-step reasoning and extended thinking in real-time

Acerca de

Características Principales

Optimized HTTP connection pooling and keep-alive configurations
Real-time progressive text output via Server-Sent Events (SSE)
Safe tool use streaming with partial JSON buffer accumulation
Built-in error handling for 429 and 529 retriable status codes
Support for extended thinking and reasoning visualization deltas
0 GitHub stars

Casos de Uso

Developing resilient API integrations for long-running generative tasks
Building low-latency chat interfaces and interactive AI assistants
Visualizing complex multi-step reasoning and extended thinking in real-time