Guide
What is LLM Streaming?
Delivering AI responses in real-time, token by token.
Streaming sends LLM output tokens as they're generated rather than waiting for the complete response. This dramatically improves perceived latency and user experience.
Streaming Benefits
- Faster perceived response time
- Users can read as content generates
- Can cancel mid-generation
- Better for long responses
Implementation Options
- SSE: Server-Sent Events (most common)
- WebSockets: Bidirectional streaming
- HTTP chunked: Transfer-Encoding: chunked
Can I monitor streaming responses?
Yes. Collect the full response after streaming completes for logging and analysis. DriftRail supports both streaming and non-streaming ingestion.
Monitor streaming LLMs
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