OpenInference Pipecat Instrumentation
Python auto-instrumentation library for Pipecat. This library allows you to convert Pipecat traces to OpenInference, which is OpenTelemetry compatible, and view those traces in Arize Phoenix or Arize AX.
Compatibility
openinference-instrumentation-pipecat |
pipecat-ai |
Python |
|---|---|---|
>=2.0 |
>=1.3 |
>=3.11 |
>=1.0, <2.0 |
>=1.0, <1.3 |
>=3.11 |
<=0.1.4 |
<1.0 (e.g. 0.0.99) |
>=3.10 |
Pipecat 1.3 deprecated PipelineTask in favor of PipelineWorker. Instrumentor
versions <2.0 only wrap PipelineTask, so bots built on PipelineWorker get
no observer injection and emit no spans. Use >=2.0 with pipecat-ai>=1.3.
Pipecat 1.0 introduced breaking changes (renamed observers, removed
LLMMessagesFrame, dropped Python 3.10). If you're still on pipecat-ai<1.0,
pin this instrumentor to <=0.1.4:
pip install 'openinference-instrumentation-pipecat<=0.1.4' 'pipecat-ai<1.0'
Installation
pip install openinference-instrumentation-pipecat
Quickstart
This quickstart shows you how to setup tracing in your Pipecat application:
from phoenix.otel import register
from openinference.instrumentation.pipecat import PipecatInstrumentor
# Set up the tracer provider
tracer_provider = register(
project_name="default" #Phoenix project name
)
# Add auto-instrumentor at the top of the application
PipecatInstrumentor().instrument(tracer_provider=tracer_provider)
# Build your Pipecat pipeline
# ... (add your Pipecat pipeline code here)
### CONFIGURATION SETUP (Transport, LLM, STT, TTS) ###
### PIPELINE ###
pipeline = Pipeline(...)
### WORKER ###
worker = PipelineWorker(
pipeline,
conversation_id=conversation_id, # conversation id is used for session tracking in Arize or Phoenix
)
### EVENT HANDLING
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
await worker.queue_frames([LLMRunFrame()])
### PIPELINE RUNNER ###
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(worker)
After configuring tracing, exchanges in the running application are logged to your project in Phoenix or Arize AX.
Example
- Install dependencies
uv pip install -e '.[examples]'
or
uv pip install -r examples/trace/requirements.txt
- Run example
uv run python examples/trace/001-trace.py
More Info
1 maintainer
Metadata
1 maintainer
Release files for openinference-instrumentation-pipecat 2.0.7
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