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  1. Installation Install the traceAI and Crew packages
pip install traceAI-crewai crewai crewai_tools

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2. Set Environment Variables

Set up your environment variables to authenticate with both FutureAGI and OpenAI. 
import os

os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
os.environ["FI_API_KEY"] = "your-futureagi-api-key"
os.environ["FI_SECRET_KEY"] = "your-futureagi-secret-key"

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4. Initialize Trace Provider

Set up the trace provider to create a new project in FutureAGI, establish telemetry data pipelines . 
from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

trace_provider = register(
    project_type=ProjectType.OBSERVE,
    project_name="crewai_project",
)

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4. Instrument your Project

Initialize the Crew AI instrumentor to enable automatic tracing. 
from traceai_crewai import CrewAIInstrumentor

CrewAIInstrumentor().instrument(tracer_provider=trace_provider)

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5. Run Crew AI

Run your Crew AI application as you normally would. Our Instrumentor will automatically trace and send the telemetry data to our platform. 
from crewai import LLM, Agent, Crew, Process, Task
from crewai_tools import SerperDevTool

def story_example():
    llm = LLM(
        model="gpt-4",
        temperature=0.8,
        max_tokens=150,
        top_p=0.9,
        frequency_penalty=0.1,
        presence_penalty=0.1,
        stop=["END"],
        seed=42,
    )

    writer = Agent(
        role="Writer",
        goal="Write creative stories",
        backstory="You are a creative writer with a passion for storytelling",
        allow_delegation=False,
        llm=llm,
    )

    writing_task = Task(
        description="Write a short story about a magical forest",
        agent=writer,
        expected_output="A short story about a magical forest",
    )

    crew = Crew(agents=[writer], tasks=[writing_task])

    # Execute the crew
    result = crew.kickoff()
    print(result)

if __name__ == "__main__":
    story_example()
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