Show HW: Tail, a terminal dashboard for your Pipecat voice agents (github.com)

Tail is a new terminal dashboard for the Pipecat voice and multimodal conversational AI framework that gives developers real-time observability into sessions — logs, live conversations, audio levels for both user and agent, and service metrics and usage — all from a lightweight terminal interface. It’s designed to run locally or connect to remote sessions, making it useful for edge devices and development machines alike. Key capabilities include live log tailing, per-turn conversation tracking, audio level meters, and pipeline metrics, helping you spot errors, performance regressions, or audio issues quickly during development and testing. Technically, Tail can be used as a drop-in replacement for PipelineRunner by swapping in TailRunner, or run as a standalone app that attaches to running pipelines via the TailObserver. Requirements: Python 3.10+ and Pipecat installed; install with pip install pipecat-ai-tail. Example usage: replace PipelineRunner() with TailRunner() in code, or add TailObserver to your PipelineTask and launch the app with pctail or pipecat-tail (default websocket URI ws://localhost:9292). For the AI/ML community this improves iteration speed and observability for voice agents, simplifies debugging of audio/streaming issues, and provides a low-overhead monitoring option that can be integrated into local development, CI, or remote deployments.