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Voice AI observability dev tool for Pipecat

Project description

Finchvox - elevated debugging for Pipecat Voice AI apps

Do your eyes bleed like a Vecna victim watching Pipecat logs fly by? Does flipping between audio recordings, transcripts, and logs damage your ⌘+tab keys from frequent use? If so, meet Finchvox, a local debugger purpose-built for Voice AI apps.

Finchvox unifies conversation audio, logs, and traces in a single UI, highlighting voice-specific problems like interruptions and high user <-> bot latency.

👇 Click the image for a short video:

Table of Contents

Prerequisites

  • Python 3.10 or higher
  • A Pipecat Voice AI application

Installation

# uv
uv add finchvox "pipecat-ai[tracing]"

# Or with pip
pip install finchvox "pipecat-ai[tracing]"

Setup

  1. Add the following to the top of your bot (e.g., bot.py):
import finchvox
from finchvox import FinchvoxProcessor

finchvox.init(service_name="my-voice-app")
  1. Add FinchvoxProcessor to your pipeline, ensuring it comes after transport.output():
pipeline = Pipeline([
    # SST, LLM, TTS, etc. processors
    transport.output(),
    FinchvoxProcessor(), # Must come after transport.output()
    context_aggregator.assistant(),
])
  1. Initialize your PipelineTask with metrics, tracing and turn tracking enabled:
task = PipelineTask(
    pipeline,
    params=PipelineParams(enable_metrics=True),
    enable_tracing=True,
    enable_turn_tracking=True,
)

Configuration

The finchvox.init() function accepts the following optional parameters:

Parameter Default Description
endpoint "http://localhost:4317" Finchvox collector endpoint
insecure True Use insecure gRPC connection (no TLS)
capture_logs True Send logs to collector alongside traces
log_modules None Additional module prefixes to capture (e.g., ["myapp"])

By default, logs from pipecat.*, finchvox.*, and __main__ are captured. Use log_modules to include logs from your own modules.

Usage - Finchvox server

uv run finchvox start

For the list of available options, run:

uv run finchvox --help

Troubleshooting

No spans being written

  1. Check collector is running: Look for "OTLP collector listening on port 4317" log message
  2. Verify client endpoint: Ensure Pipecat is configured to send to http://localhost:4317

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