> ## Documentation Index
> Fetch the complete documentation index at: https://daily-mb-reorg-api-reference-docs.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Interruption Strategies

> Configure when users can interrupt the bot to prevent unwanted interruptions from brief affirmations

<Warning>
  DEPRECATED Interruption strategies have been deprecated in favor of [User Turn
  Strategies](/api-reference/server/utilities/turn-management/user-turn-strategies).
</Warning>

## Overview

Interruption strategies allow you to control when users can interrupt the bot during speech. By default, any user speech immediately interrupts the bot, but this can be problematic when users engage in backchanneling—brief vocal responses like "yeah", "okay", or "mm-hmm" that indicate they're listening without intending to interrupt.

With interruption strategies, you can require users to meet specific criteria (such as speaking a minimum number of words or reaching a certain audio volume) before their speech will interrupt the bot, creating a more natural conversation flow.

<Tip>
  Want to try it out? Check out the [interruption strategies foundational
  demo](https://github.com/pipecat-ai/pipecat/blob/main/examples/turn-management/turn-management-interruption-config.py)
</Tip>

## Configuration

Interruption strategies are configured via the `interruption_strategies` parameter in `PipelineParams`. When specified, the normal immediate interruption behavior is replaced with conditional interruption based on your criteria.

<ParamField path="interruption_strategies" type="List[BaseInterruptionStrategy]" default="[]">
  List of interruption strategies to apply. When multiple strategies are
  provided, the first one that evaluates to true will trigger the interruption.
  If empty, normal interruption behavior applies.
</ParamField>

## Base Strategy Interface

All interruption strategies inherit from `BaseInterruptionStrategy`, which provides a common interface for evaluating interruption conditions.

<ParamField path="append_audio(audio, sample_rate)" type="async method">
  Appends audio data to the strategy for analysis. Not all strategies handle
  audio.
</ParamField>

<ParamField path="append_text(text)" type="async method">
  Appends text to the strategy for analysis. Not all strategies handle text.
</ParamField>

<ParamField path="should_interrupt()" type="async method">
  Called when the user stops speaking to determine if interruption should occur
  based on accumulated audio and/or text.
</ParamField>

<ParamField path="reset()" type="async method">
  Resets accumulated text and/or audio data.
</ParamField>

## Available Strategies

### MinWordsInterruptionStrategy

Requires users to speak a minimum number of words before interrupting the bot.

<ParamField path="min_words" type="int" required>
  Minimum number of words the user must speak to interrupt the bot. Must be
  greater than 0.
</ParamField>

```python theme={null}
from pipecat.audio.interruptions.min_words_interruption_strategy import MinWordsInterruptionStrategy

strategy = MinWordsInterruptionStrategy(min_words=3)
```

## How It Works

When interruption strategies are configured:

1. **Bot not speaking**: User speech interrupts immediately (normal behavior)
2. **Bot speaking**: User speech and audio are collected and fed to strategies
3. **User stops speaking**: Strategies are evaluated in order
4. **First match wins**: The first strategy that returns `True` triggers interruption
5. **No matches**: User speech is discarded

The system automatically handles both audio and text input:

* Audio frames (`InputAudioRawFrame`) are fed to `append_audio()`
* Transcription text is fed to `append_text()`
* Strategies can use either or both data types

## Usage Examples

### Basic Word Count Interruption

Require users to speak at least 3 words to interrupt the bot:

```python theme={null}
from pipecat.audio.interruptions.min_words_interruption_strategy import MinWordsInterruptionStrategy
from pipecat.pipeline.task import PipelineParams, PipelineTask

task = PipelineTask(
    pipeline,
    params=PipelineParams(
        allow_interruptions=True,
        interruption_strategies=[MinWordsInterruptionStrategy(min_words=3)]
    )
)
```

### Multiple Strategies with Priority

Strategies are evaluated in order, with the first match triggering interruption:

```python theme={null}
# Prioritize word count, then volume (hypothetical future strategy)
task = PipelineTask(
    pipeline,
    params=PipelineParams(
        allow_interruptions=True,
        interruption_strategies=[
            MinWordsInterruptionStrategy(min_words=2),        # Check first
            # VolumeInterruptionStrategy(min_volume=0.8),     # Your custom strategy
        ]
    )
)
```

## Behavior Comparison

| Scenario                                      | Without Strategy         | With MinWordsInterruptionStrategy(min\_words=3) |
| --------------------------------------------- | ------------------------ | ----------------------------------------------- |
| User says "okay" while bot speaks             | ✅ Interrupts immediately | ❌ Ignored (only 1 word)                         |
| User says "yes that's right" while bot speaks | ✅ Interrupts immediately | ✅ Interrupts (3 words)                          |
| User speaks while bot is silent               | ✅ Processed immediately  | ✅ Processed immediately                         |

## Notes

* Interruption strategies only affect behavior when the bot is actively speaking
* When the bot is not speaking, user input is processed immediately regardless of strategy configuration
* The `allow_interruptions` parameter must be `True` for interruption strategies to work
* User speech that doesn't meet interruption criteria is discarded, not queued
* Strategies are evaluated in order - first match wins
* Both audio and text data are automatically fed to strategies based on their implementation
* Word counting uses simple whitespace splitting for word boundaries