Example Usage for monitoring a CrewAI Agent:

      ```python
      from crewai import Agent, Task, Crew, Process
      import openlit

      openlit.init(disable_metrics=True)
      # Define your agents
      researcher = Agent(
          role="Researcher",
          goal="Conduct thorough research and analysis on AI and AI agents",
          backstory="You're an expert researcher, specialized in technology, software engineering, AI, and startups. You work as a freelancer and are currently researching for a new client.",
          allow_delegation=False,
          llm='command-r'
      )


      # Define your task
      task = Task(
          description="Generate a list of 5 interesting ideas for an article, then write one captivating paragraph for each idea that showcases the potential of a full article on this topic. Return the list of ideas with their paragraphs and your notes.",
          expected_output="5 bullet points, each with a paragraph and accompanying notes.",
      )

      # Define the manager agent
      manager = Agent(
          role="Project Manager",
          goal="Efficiently manage the crew and ensure high-quality task completion",
          backstory="You're an experienced project manager, skilled in overseeing complex projects and guiding teams to success. Your role is to coordinate the efforts of the crew members, ensuring that each task is completed on time and to the highest standard.",
          allow_delegation=True,
          llm='command-r'
      )

      # Instantiate your crew with a custom manager
      crew = Crew(
          agents=[researcher],
          tasks=[task],
          manager_agent=manager,
          process=Process.hierarchical,
      )

      # Start the crew's work
      result = crew.kickoff()

      print(result)
      ```
    </Tab>
    <Tab title="Setup using Environment Variables">

      Add the following two lines to your application code:
      ```python
      import openlit

      openlit.init()
      ```

      Run the following command to configure the OTEL export endpoint:
      ```shell
      export OTEL_EXPORTER_OTLP_ENDPOINT = "http://127.0.0.1:4318"
      ```

      Example Usage for monitoring a CrewAI Async Agent:

      ```python
      import asyncio
      from crewai import Crew, Agent, Task
      import openlit

      openlit.init(otlp_endpoint="http://127.0.0.1:4318")

      # Create an agent with code execution enabled
      coding_agent = Agent(
        role="Python Data Analyst",
        goal="Analyze data and provide insights using Python",
        backstory="You are an experienced data analyst with strong Python skills.",
        allow_code_execution=True,
        llm="command-r"
      )

      # Create a task that requires code execution
      data_analysis_task = Task(
        description="Analyze the given dataset and calculate the average age of participants. Ages: {ages}",
        agent=coding_agent,
        expected_output="5 bullet points, each with a paragraph and accompanying notes.",
      )

      # Create a crew and add the task
      analysis_crew = Crew(
        agents=[coding_agent],
        tasks=[data_analysis_task]
      )

      # Async function to kickoff the crew asynchronously
      async def async_crew_execution():
          result = await analysis_crew.kickoff_async(inputs={"ages": [25, 30, 35, 40, 45]})
          print("Crew Result:", result)

      # Run the async function
      asyncio.run(async_crew_execution())
      ```
    </Tab>
  </Tabs>
  Refer to OpenLIT [Python SDK repository](https://github.com/openlit/openlit/tree/main/sdk/python) for more advanced configurations and use cases.
</Step>
<Step title="Visualize and Analyze">
  With the Agent Observability data now being collected and sent to OpenLIT, the next step is to visualize and analyze this data to get insights into your Agent's performance, behavior, and identify areas of improvement.

  Just head over to OpenLIT at `127.0.0.1:3000` on your browser to start exploring. You can login using the default credentials
  - **Email**: `[email protected]`
  - **Password**: `openlituser`
  
  <Frame caption="OpenLIT Dashboard">
    
    
  </Frame>

</Step>