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move pipecat.turns.mute to pipecat.turns.user_mute #502

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Merged
markbackman merged 1 commit into from
Jan 21, 2026
Merged

move pipecat.turns.mute to pipecat.turns.user_mute #502

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4 changes: 2 additions & 2 deletions guides/fundamentals/user-input-muting.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.turns.mute import AlwaysUserMuteStrategy
from pipecat.turns.user_mute import AlwaysUserMuteStrategy

# Configure with one or more strategies
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
Expand All @@ -100,7 +100,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMUserAggregatorParams,
)

from pipecat.turns.mute import (
from pipecat.turns.user_mute import (
MuteUntilFirstBotCompleteUserMuteStrategy,
FunctionCallUserMuteStrategy,
)
Expand Down
16 changes: 8 additions & 8 deletions server/utilities/turn-management/user-mute-strategies.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.turns.mute import (
from pipecat.turns.user_mute import (
MuteUntilFirstBotCompleteUserMuteStrategy,
FunctionCallUserMuteStrategy,
)
Expand All @@ -41,7 +41,7 @@ user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
Mutes user input whenever the bot is speaking. This prevents any interruptions during bot speech.

```python
from pipecat.turns.mute import AlwaysUserMuteStrategy
from pipecat.turns.user_mute import AlwaysUserMuteStrategy

strategy = AlwaysUserMuteStrategy()
```
Expand All @@ -56,7 +56,7 @@ strategy = AlwaysUserMuteStrategy()
Mutes user input only during the bot's first speech. After the initial response completes, user input is allowed even while the bot is speaking.

```python
from pipecat.turns.mute import FirstSpeechUserMuteStrategy
from pipecat.turns.user_mute import FirstSpeechUserMuteStrategy

strategy = FirstSpeechUserMuteStrategy()
```
Expand All @@ -77,7 +77,7 @@ strategy = FirstSpeechUserMuteStrategy()
Mutes user input from the start of the interaction until the bot completes its first speech. This ensures the bot maintains full control at the beginning of a conversation.

```python
from pipecat.turns.mute import MuteUntilFirstBotCompleteUserMuteStrategy
from pipecat.turns.user_mute import MuteUntilFirstBotCompleteUserMuteStrategy

strategy = MuteUntilFirstBotCompleteUserMuteStrategy()
```
Expand All @@ -99,7 +99,7 @@ strategy = MuteUntilFirstBotCompleteUserMuteStrategy()
Mutes user input while function calls are executing. This prevents user interruptions during potentially long-running tool operations.

```python
from pipecat.turns.mute import FunctionCallUserMuteStrategy
from pipecat.turns.user_mute import FunctionCallUserMuteStrategy

strategy = FunctionCallUserMuteStrategy()
```
Expand Down Expand Up @@ -144,7 +144,7 @@ In this example, user input is muted:
Ensure the bot's greeting plays completely before accepting user input:

```python
from pipecat.turns.mute import MuteUntilFirstBotCompleteUserMuteStrategy
from pipecat.turns.user_mute import MuteUntilFirstBotCompleteUserMuteStrategy

user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
Expand All @@ -161,7 +161,7 @@ user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
Allow normal interruptions but prevent them during tool execution:

```python
from pipecat.turns.mute import FunctionCallUserMuteStrategy
from pipecat.turns.user_mute import FunctionCallUserMuteStrategy

user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
Expand All @@ -178,7 +178,7 @@ user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
Always mute user input while the bot is speaking:

```python
from pipecat.turns.mute import AlwaysUserMuteStrategy
from pipecat.turns.user_mute import AlwaysUserMuteStrategy

user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
Expand Down