Streaming Responses

Send tokens as they're generated for real-time UX

🔑 Key Concepts

Why stream? — LLMs are slow (1-3 seconds for first token). Streaming shows output immediately, improving perceived performance.
Server-Sent Events — The standard for streaming LLM output. Each token is a separate event. Works over HTTP.
Implementation — stream=True in the API call, then iterate over chunks. Each chunk has delta.content with the new token.
Accumulation — Accumulate streamed tokens into the full response. You'll need the complete text for validation and storage.

💡 Practice: Try implementing each concept yourself before moving on. Reading about RAG and building RAG are very different things.