CrewAI Integration

Updated on Aug 14, 2026

Use this integration when your CrewAI application is implemented in Python.

Setup

1. Install SDK

bash

pip install progress-observability

2. Instrument your app

python

Observability.instrument(
    app_name=os.getenv("OBSERVABILITY_APP_NAME"),
    api_key=os.getenv("OBSERVABILITY_API_KEY")
)

3. Complete example

python

import os
from dotenv import load_dotenv

# Disable CrewAI's own telemetry so traces go through Progress Observability instead.
os.environ.setdefault("CREWAI_DISABLE_TELEMETRY", "true")
load_dotenv()

# LLM INSTRUMENTATION
from progress.observability import Observability

Observability.instrument(
    app_name=os.getenv("OBSERVABILITY_APP_NAME"),
    api_key=os.getenv("OBSERVABILITY_API_KEY"),
)

from crewai import Agent, Crew, LLM, Process, Task  # noqa: E402
from crewai.tools import tool  # noqa: E402

model = os.getenv("OPENAI_MODEL", "gpt-4o-mini")
llm = LLM(model=f"openai/{model}", api_key=os.getenv("OPENAI_API_KEY"))


@tool("get_weather")
def get_weather(location: str) -> str:
    """Get the weather for a given location."""
    return f"The weather in {location} is cloudy with a high of 15°C."


question = os.getenv("QUESTION", "What's the weather in Paris?")

weather_agent = Agent(
    role="Weather Assistant",
    goal="Answer weather-related questions accurately and concisely.",
    backstory="You are a helpful AI assistant.",
    llm=llm,
    tools=[get_weather],
    verbose=False,
    allow_delegation=False,
)

task = Task(
    description=(
        f"Answer the following user request: '{question}'. "
        "Use available tools when necessary. "
        "Return exactly one concise weather sentence."
    ),
    expected_output="A single concise weather sentence.",
    agent=weather_agent,
)

crew = Crew(agents=[weather_agent], tasks=[task], process=Process.sequential, verbose=False)

result = crew.kickoff()

Observability.shutdown()