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AI / Claude Models Basics Interview Questions

What is streaming in Claude API responses and how do you use it?

Streaming allows you to receive Claude's response token by token as it is generated, rather than waiting for the complete response. This dramatically reduces the time to first token and creates a more responsive user experience for chat applications.

# Streaming with the Python SDK
with client.messages.stream(
    model="claude-opus-4-8",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Write a short story."}]
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)  # print each token as it arrives

# Or using the raw SSE event stream
with client.messages.stream(...) as stream:
    for event in stream:
        if event.type == "content_block_delta":
            print(event.delta.text, end="")
Streaming event types
EventWhen it fires
message_startOnce at the beginning — includes usage metadata
content_block_startWhen a new content block (text, tool_use) begins
content_block_deltaFor each token chunk — contains the text delta
content_block_stopWhen a content block finishes
message_deltaWhen stop_reason or usage is updated
message_stopOnce when the response is fully complete

Streaming is supported on all current Claude models. Fine-grained tool streaming (streaming tool call arguments as they are generated) is generally available on Sonnet 4.6 and later models with no beta header required.

What is the primary user experience benefit of streaming Claude API responses?
Which SDK method would you use to stream a Claude response token by token in Python?

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