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

  1. Install dependencies
uv pip install -e '.[examples]'

or

uv pip install -r examples/trace/requirements.txt
  1. Run example
uv run python examples/trace/001-trace.py

More Info

Project links

Data verified by PyPI on Aug 24, 2026
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  • Released:
Newer release available (2.0.3)

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Credits

Author: OpenInference Authors

GitHub Statistics

Data verified by PyPI on Aug 24, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python <3.15, >=3.11

Provides Extra

examples instruments

Classifiers

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