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 Jul 30, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.0.3)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for arizeai from gravatar.com arizeai

Credits

Author: OpenInference Authors

GitHub Statistics

Data verified by PyPI on Jul 30, 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

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openinference_instrumentation_pipecat-2.0.1.tar.gz (33.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

openinference_instrumentation_pipecat-2.0.1-py3-none-any.whl (24.6 kB view details)

Uploaded Python 3

File details

Details for the file openinference_instrumentation_pipecat-2.0.1.tar.gz.

File metadata

File hashes

Hashes for openinference_instrumentation_pipecat-2.0.1.tar.gz
Algorithm Hash digest
SHA256 66e862f86c01ee187454de0af780013f36a3cae5989a428295fc0bec20a20cd0
MD5 2c241383115eec08e7c673dd8424ed31
BLAKE2b-256 e6f1926b9ddcef0e2830eb73cb227723c23176f3d5d2130e5ddbc6b7b7d2ad8b

See more details on using hashes here.

Provenance

The following attestation bundles were made for openinference_instrumentation_pipecat-2.0.1.tar.gz:

Publisher: publish.yaml on Arize-ai/openinference

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file openinference_instrumentation_pipecat-2.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for openinference_instrumentation_pipecat-2.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 51628ad02c39af49169926606a9c25e22bd8396c49d2e3170abdd9de6d0548cc
MD5 e1f3cce08712153f30b03d0ed0f3edb7
BLAKE2b-256 827569eefcf62164faf16e5a40b23066e117de0f8da40e688686f6ee637b2705

See more details on using hashes here.

Provenance

The following attestation bundles were made for openinference_instrumentation_pipecat-2.0.1-py3-none-any.whl:

Publisher: publish.yaml on Arize-ai/openinference

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

2.0.3

2 files

2.0.2

2 files

This release

2.0.1 This release

2 files

2.0.0

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page