BeeAI Tracing (Python)

Instrument and observe BeeAI agents

Phoenix provides seamless observability and tracing for BeeAI agents through the Python OpenInference instrumentation package.

Launch Phoenix

Install

pip install openinference-instrumentation-beeai beeai-framework

Setup

Connect to your Phoenix instance using the register function.

from phoenix.otel import register

# configure the Phoenix tracer
tracer_provider = register(
  project_name="beeai-agent", # Default is 'default'
  auto_instrument=True # Auto-instrument your app based on installed OI dependencies
)

Run BeeAI

Sample agent built using BeeAI with automatic tracing:

import asyncio
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.memory import TokenMemory
from beeai_framework.tools.search.duckduckgo import DuckDuckGoSearchTool
from beeai_framework.tools.search.wikipedia import WikipediaTool
from beeai_framework.tools.tool import AnyTool
from beeai_framework.tools.weather.openmeteo import OpenMeteoTool

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)
    
asyncio.run(main())

Observe

Phoenix provides visibility into your BeeAI agent operations by automatically tracing all interactions.

Resources

• OpenInference package for Python