smoothStream

smoothStream is a utility function that creates a TransformStream for the streamText experimental_transform option to smooth out text and reasoning streaming by buffering and releasing complete chunks with configurable delays. This creates a more natural reading experience when streaming text and reasoning responses.

import { smoothStream, streamText } from 'ai';

const result = streamText({
  model,
  prompt,
  experimental_transform: smoothStream({
    delayInMs: 20, // optional: defaults to 10ms
    chunking: 'line', // optional: defaults to 'word'
  }),
});

Import

import { smoothStream } from "ai"

API Signature

Parameters

• delayInMs? (number | null): The delay in milliseconds between outputting each chunk. Defaults to 10ms. Set to null to disable delays. The delay is skipped while the document is hidden (e.g. browser background tabs), where timer throttling would otherwise stall the stream.
• chunking? ("word" | "line" | RegExp | Intl.Segmenter | (buffer: string) => string | undefined | null): Controls how text and reasoning content is chunked for streaming. Use "word" to stream word by word (default), "line" to stream line by line, an Intl.Segmenter for locale-aware word segmentation (recommended for CJK languages), or provide a custom callback or RegExp pattern that does not match the empty string for custom chunking.

Word chunking caveats with non-latin languages

The word based chunking does not work well with the following languages that do not delimit words with spaces:

• Chinese
• Japanese
• Korean
• Vietnamese
• Thai

Using Intl.Segmenter (recommended)

For these languages, we recommend using Intl.Segmenter for proper locale-aware word segmentation. This is the preferred approach as it provides accurate word boundaries for CJK and other languages.

import { smoothStream, streamText } from 'ai';

const segmenter = new Intl.Segmenter('ja', { granularity: 'word' });

const result = streamText({
  model: 'anthropic/claude-sonnet-5.5',
  prompt: 'Your prompt here',
  experimental_transform: smoothStream({
    chunking: segmenter,
  }),
});

import { smoothStream, streamText } from 'ai';

const segmenter = new Intl.Segmenter('zh', { granularity: 'word' });

const result = streamText({
  model: 'anthropic/claude-sonnet-5.5',
  prompt: 'Your prompt here',
  experimental_transform: smoothStream({
    chunking: segmenter,
  }),
});

Regex based chunking

To use regex based chunking, pass a RegExp to the chunking option. Global and sticky expressions are supported. The expression must not match the empty string.

// To split on underscores:
smoothStream({
  chunking: /_+/,
});

// Also can do it like this, same behavior
smoothStream({
  chunking: /[^_]*_/,
});

Custom callback chunking

To use a custom callback for chunking, pass a function to the chunking option.

smoothStream({
  chunking: text => {
    const findString = 'some string';
    const index = text.indexOf(findString);

    if (index === -1) {
      return null;
    }

    return text.slice(0, index) + findString;
  },
});

Returns

Returns a TransformStream that:

• Buffers incoming text and reasoning chunks
• Releases content when the chunking pattern is encountered
• Adds configurable delays between chunks for smooth output
• Passes through non-text/reasoning chunks (like tool calls, step-finish events) immediately