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markbackman merged 1 commit into from
Jan 14, 2026
Merged

update CHANGELOG and other files for 0.0.11 #14

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2 changes: 1 addition & 1 deletion CHANGELOG.md
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Expand Up @@ -5,7 +5,7 @@ All notable changes to **Whisker** will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]
## [0.0.11] - 2026-01-12

### Added

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22 changes: 18 additions & 4 deletions README.md
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Expand Up @@ -6,7 +6,7 @@

# ᓚᘏᗢ Whisker: A Pipecat Debugger

**Whisker** is a live graphical debugger for the [Pipecat](https://github.com/pipecat-ai/pipecat) voice and multimodal conversational AI framework.
**Whisker** is a low-level debugger for the [Pipecat](https://github.com/pipecat-ai/pipecat) voice and multimodal conversational AI framework.

It lets you **visualize pipelines and debug frames in real time** — so you can see exactly what your bot is thinking and doing.

Expand Down Expand Up @@ -40,17 +40,31 @@ uv pip install pipecat-ai-whisker

### Add Whisker to your Pipecat pipeline

You can add Whisker to your pipeline by just adding an observer to the pipeline task.

```python
from pipecat_whisker import WhiskerObserver

pipeline = Pipeline(...)

whisker = WhiskerObserver(pipeline)
task = PipelineTask(...)

task.add_observer(WhiskerObserver(task.pipeline))
```

Starting in Pipecat 0.0.99, it is also possible to add Whisker in an unobtrusive way by using an external pipeline task setup file and adding that file to the `PIPELINE_SETUP_FILES` environment variable.

```python
from pipecat_whisker import WhiskerObserver

from pipecat.pipeline.task import PipelineTask


task = PipelineTask(..., observers=[whisker])
async def setup_pipeline_task(task: PipelineTask):
task.add_observer(WhiskerObserver(task.pipeline))
```

This starts the Whisker server that the graphical UI will connect to. By default, the Whisker server runs at:
In both cases, this starts the Whisker server that the graphical UI will connect to. By default, the Whisker server runs at:

```
ws://localhost:9090
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6 changes: 3 additions & 3 deletions pipecat/pyproject.toml
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Expand Up @@ -20,9 +20,9 @@ classifiers = [
"Topic :: Scientific/Engineering :: Artificial Intelligence"
]
dependencies = [
"aiofiles>=24.1.0",
"loguru~=0.7.3",
"msgpack>=1.1.1",
"aiofiles>=24.1.0,<25",
"loguru>=0.7.3,<1",
"msgpack>=1.1.1,<2",
"pipecat-ai>=0.0.81",
"websockets>=13.1,<15.0",
]
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