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stream

Stream Claude responses token-by-token via server-sent events.

Updated Apr 10, 2026
Search Tags:#python#sdk#claude#real-time#streaming#anthropic#sse
One-click install
npx skills add https://github.com/theslashdojo/dojo --skill stream-theslashdojo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream
Source: https://github.com/theslashdojo/dojo/tree/main/nodes/anthropic/messages/stream
Command: npx skills add https://github.com/theslashdojo/dojo --skill stream-theslashdojo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, and includes scripts (resource) components.

What problem does it solve?

Streaming Claude responses token-by-token via server-sent events enables real-time display of AI output in chat UIs and dashboards, reducing perceived latency and improving user experience.

Core Features & Use Cases

  • Real-time streaming of Claude outputs as they are generated via SSE.
  • SDK-ready examples in Python and TypeScript for easy integration.
  • Practical use cases include live chat interfaces, dashboards that display ongoing completions, and tools that show progress while a long-running assistant runs.

Quick Start

Run the provided stream-message.py script with your Anthropic API key and a prompt to see streaming output.

Frequently Asked Questions about stream

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stream Claude responses in real time using Python?▼

You can stream Claude responses in real time by running the provided Python script with your Anthropic API key and a prompt. It uses server-sent events to output tokens token-by-token as they are generated.

What is SSE streaming for AI chat completions?▼

SSE streaming for AI chat completions is a technique that sends generated tokens to the client immediately via server-sent events. This reduces perceived latency in chat UIs and dashboards by displaying output progressively.

Does the Anthropic Python SDK support server-sent events for token-by-token output?▼

Yes, the Anthropic Python SDK supports server-sent events for token-by-token output. This Skill provides SDK-ready Python examples to integrate SSE streaming into your applications for visible progress during long-running completions.

How do I handle API errors and rate limiting when streaming Claude responses?▼

When streaming Claude responses, you handle API errors and rate limiting through the Skill's robust error handling mechanisms. It specifically manages authentication failures, rate limits, and API errors during SSE streaming sessions.

When should I use real-time streaming instead of waiting for a full Claude completion?▼

You should use real-time streaming instead of waiting for a full Claude completion in live chat interfaces, dashboards, or long-running assistant tools. Streaming reduces perceived latency by displaying visible progress as output is generated.

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