> ## Documentation Index
> Fetch the complete documentation index at: https://futureagi.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Crew AI

1. Installation
   Install the traceAI and Crew packages

```bash theme={null}
pip install traceAI-crewai crewai crewai_tools
```

***

## 2. Set Environment Variables

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

```python theme={null}
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"
```

***

## 4. Initialize Trace Provider

Set up the trace provider to create a new project in FutureAGI, establish telemetry data pipelines .

```python theme={null}
from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

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

***

## 4. Instrument your Project

Initialize the Crew AI instrumentor to enable automatic tracing.

```python theme={null}
from traceai_crewai import CrewAIInstrumentor

CrewAIInstrumentor().instrument(tracer_provider=trace_provider)
```

***

## 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.

```python theme={null}
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()
```