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pipecat-ai-whisker

A real-time debugger for Pipecat

With conditionsPyPI Artificial IntelligenceReleased May 2026112.0K downloads / moBSD-2-ClausePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pipecat_ai_whisker-2.0.0-py3-none-any.whl
v2.0.0 · released 2026-05-29 · Python >=3.11 · 6 runtime deps: aiofiles, idna, loguru, msgpack, pipecat-ai, websockets

Yes, if you are actively developing or debugging Pipecat applications. The package is actively maintained, has no known vulnerabilities, installs with low friction, and provides a purpose-built debugging interface for a framework that otherwise lacks built-in introspection. The permissive BSD-2-Clause license poses no restrictions. Install it as a development dependency; the overhead of observers is negligible for debugging but can be disabled in production.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11+, an installed Pipecat framework, and Node.js 20+ if running the UI locally.
  • The hosted UI also requires ngrok for local tunneling.
  • Low friction install with a pure-Python wheel.

License · maintenance · safety

BSD-2-Clause (permissive) — BSD-2-Clause is permissive and imposes minimal restrictions on use or redistribution; you can incorporate this into commercial or proprietary projects without licensing concerns.

last release 2026-05-29 (77 days) · last repo commit 2026-08-12 · 130 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 112,004 downloads/mo, #12,386 on PyPI

Verify before relying

pip install pipecat-ai-whisker

from pipecat_ai_whisker import WhiskerServer
from pipecat import PipelineWorker, WorkerRunner

whisker = WhiskerServer()
worker.add_observer(whisker.create_observer(worker))
await runner.add_workers(whisker, worker)
await runner.run()
  • Whether the package works with Pipecat versions other than the latest, or version constraints on pipecat-ai dependency
  • Performance overhead of Whisker observers on frame throughput in production-scale pipelines
  • Whether saved .whisk session files are forward/backward compatible across Whisker versions
Same gist for agents: .md · .json

What it is and what it does

Whisker is a low-level debugger built specifically for the Pipecat framework, which orchestrates multi-agent voice and multimodal AI systems. It attaches observers to your Pipecat workers to capture and stream frame events, job flows, and bus messages to a graphical interface where you can browse the entire system topology, inspect individual pipelines, filter and trace frames through processors, and save sessions for later replay. The debugger runs as a WebSocket server (default localhost:9090) that the UI connects to—either a hosted version via ngrok tunneling or a local Node.js development server.

You integrate Whisker by adding a WhiskerServer instance and per-worker WhiskerObserver objects to your Pipecat runner, or by using environment-variable-driven setup files to avoid modifying application code. For CI and headless recording, you can use WhiskerFile instead to write events directly to disk without opening a port. The package is designed as a trace-logging tool with a UI layer, letting you see exactly what every part of a distributed Pipecat system is doing at any moment.

Use it for

  • Debug message flow and frame routing through complex multi-worker Pipecat pipelines during development
  • Inspect job queues and worker state to diagnose deadlocks or unexpected behavior in live systems
  • Record and replay Pipecat sessions for post-mortem analysis or sharing debugging context with teammates
  • Monitor frame processing in real-time to identify bottlenecks or processors consuming unexpected input
  • Capture headless Pipecat runs in CI/testing environments by writing events to disk without UI overhead

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are actively developing or debugging Pipecat applications.

The package is actively maintained, has no known vulnerabilities, installs with low friction, and provides a purpose-built debugging interface for a framework that otherwise lacks built-in introspection. The permissive BSD-2-Clause license poses no restrictions. Install it as a development dependency; the overhead of observers is negligible for debugging but can be disabled in production.

Install

pipecat-ai-whisker on PyPI

Before you install

Low friction install with a pure-Python wheel. Requires Python 3.11+ and an active Pipecat installation; the package itself has only six runtime dependencies (aiofiles, idna, loguru, msgpack, pipecat-ai, websockets). Actively maintained with recent releases.

Requires Python 3.11+, an installed Pipecat framework, and Node.js 20+ if running the UI locally. The hosted UI also requires ngrok for local tunneling.

License in practice

BSD-2-Clause is permissive and imposes minimal restrictions on use or redistribution; you can incorporate this into commercial or proprietary projects without licensing concerns.

Quickstart

pip install pipecat-ai-whisker

from pipecat_ai_whisker import WhiskerServer
from pipecat import PipelineWorker, WorkerRunner

whisker = WhiskerServer()
worker.add_observer(whisker.create_observer(worker))
await runner.add_workers(whisker, worker)
await runner.run()

Verify before relying

  • Whether the package works with Pipecat versions other than the latest, or version constraints on pipecat-ai dependency
  • Performance overhead of Whisker observers on frame throughput in production-scale pipelines
  • Whether saved .whisk session files are forward/backward compatible across Whisker versions

Package facts

LicenseBSD-2-Clause permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
6 packages
aiofilesidnalogurumsgpackpipecat-aiwebsockets
MaintenanceActively maintained 77 days since the last release
Last repo commit
First released
Downloads112,004 / month, #12,386 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersTopic :: Communications :: ConferencingTopic :: Multimedia :: Sound/AudioTopic :: Multimedia :: VideoTopic :: Scientific/Engineering :: Artificial Intelligence

Evidence: pipecat_ai_whisker-2.0.0-py3-none-any.whl

Tags

Capabilities
pipecat debuggerai pipeline debuggingmultimodal conversational ai debugworker inspection toolmessage bus tracingframe flow visualizationpipecat monitoring
Topics
pipecat-ecosystemdebugging-uimulti-agent-systems
PyPI keywords
pipecatdebugai

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See also pipecat-ai · pipecat-ai-prebuilt · pipecat-ai-flows · pipecatcloud · pylitterbot · livekit-plugins-deepgram · wecom-aibot-python-sdk · livekit-agents · livekit-plugins-azure · livekit-plugins-google

Further reading