OpenInference Instrumentation for BeeAI
This module provides automatic instrumentation for BeeAI framework. It integrates seamlessly with the @opentelemetry/sdk-trace-node to collect and export telemetry data.
Installation
pip install openinference-instrumentation-beeai
Quickstart
This quickstart shows you how to instrument your guardrailed LLM application
Install required packages.
pip install beeai-framework arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp
Start Phoenix in the background as a collector. By default, it listens on http://localhost:6006. You can visit the app via a browser at the same address. (Phoenix does not send data over the internet. It only operates locally on your machine.)
python -m phoenix.server.main serve
Set up BeeAIInstrumentor to trace your crew and send the traces to Phoenix at the endpoint defined below.
The openinference_setup.py file.
import logging
from opentelemetry import trace as trace_api
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace.export import ConsoleSpanExporter, SimpleSpanProcessor
from openinference.instrumentation.beeai import BeeAIInstrumentor
logging.basicConfig(level=logging.DEBUG)
def setup_observability(endpoint: str = "http://localhost:6006/v1/traces") -> None:
"""
Sets up OpenTelemetry with OTLP HTTP exporter and instruments the beeai framework.
"""
resource = Resource(attributes={})
tracer_provider = trace_sdk.TracerProvider(resource=resource)
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
tracer_provider.add_span_processor(SimpleSpanProcessor(ConsoleSpanExporter()))
trace_api.set_tracer_provider(tracer_provider)
BeeAIInstrumentor().instrument()
Set up a simple ReActAgent to get the current weather in Las Vegas.
import asyncio
import sys
import traceback
from beeai_framework.agents.react import ReActAgent
from beeai_framework.agents.types import AgentExecutionConfig
from beeai_framework.backend.chat import ChatModel
from beeai_framework.backend.types import ChatModelParameters
from beeai_framework.errors import FrameworkError
from beeai_framework.memory import TokenMemory
from beeai_framework.tools.search import DuckDuckGoSearchTool, WikipediaTool
from beeai_framework.tools.tool import AnyTool
from beeai_framework.tools.weather.openmeteo import OpenMeteoTool
from openinference_setup import setup_observability
setup_observability()
llm = ChatModel.from_name(
"ollama:granite3.1-dense:8b",
ChatModelParameters(temperature=0),
)
tools: list[AnyTool] = [
WikipediaTool(),
OpenMeteoTool(),
DuckDuckGoSearchTool(),
]
agent = ReActAgent(llm=llm, tools=tools, memory=TokenMemory(llm))
prompt = "What's the current weather in Las Vegas?"
async def main() -> None:
response = await agent.run(
prompt=prompt,
execution=AgentExecutionConfig(
max_retries_per_step=3, total_max_retries=10, max_iterations=20
),
)
print("Agent 🤖 : ", response.result.text)
if __name__ == "__main__":
try:
asyncio.run(main())
except FrameworkError as e:
traceback.print_exc()
sys.exit(e.explain())
More Info
1 maintainer
Metadata
1 maintainer
Release files for openinference-instrumentation-beeai 0.1.29
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| openinference_instrumentation_beeai-0.1.29.tar.gz | 12.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| openinference_instrumentation_beeai-0.1.29-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.8 kB
Release files / openinference_instrumentation_beeai-0.1.29.tar.gz
| Download URL | openinference_instrumentation_beeai-0.1.29.tar.gz |
|---|---|
| Size | 12.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b87c4ce9a243353561fffd895c199e4de7ecd71b5cc5308e09ef2b34ce2d32fe
|
|
BLAKE2b-256 checksum How to use checksums |
62c1422e2dd910939d1be65e19ddbf2158a79091706c024d12522f42cbaa1035
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.
Transparency logRelease files / openinference_instrumentation_beeai-0.1.29-py3-none-any.whl
| Download URL | openinference_instrumentation_beeai-0.1.29-py3-none-any.whl |
|---|---|
| Size | 21.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0c35e0d60eacb2eb52b266a043e12a2ef939e60f625204569e3a6cae5247c088
|
|
BLAKE2b-256 checksum How to use checksums |
c4562505d891a4c47e163fadd3e6af50541d40214e30a89498e0fa9c2a1f95a7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.
Transparency log
