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Kickoff a Crew on CrewAI Enterprise

Once you’ve deployed your crew to the CrewAI Enterprise platform, you can kickoff executions through the web interface or the API. This guide covers both approaches.

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Method 1: Using the Web Interface

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Step 1: Navigate to Your Deployed Crew

1. Log in to CrewAI Enterprise
2. Click on the crew name from your projects list
3. You’ll be taken to the crew’s detail page

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Step 2: Initiate Execution

From your crew’s detail page, you have two options to kickoff an execution:

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Option A: Quick Kickoff

1. Click the Kickoff link in the Test Endpoints section
2. Enter the required input parameters for your crew in the JSON editor
3. Click the Send Request button

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Option B: Using the Visual Interface

1. Click the Run tab in the crew detail page
2. Enter the required inputs in the form fields
3. Click the Run Crew button

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Step 3: Monitor Execution Progress

After initiating the execution:

1. You’ll receive a response containing a kickoff_id - copy this ID
2. This ID is essential for tracking your execution

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Step 4: Check Execution Status

To monitor the progress of your execution:

1. Click the “Status” endpoint in the Test Endpoints section
2. Paste the kickoff_id into the designated field
3. Click the “Get Status” button

The status response will show:

• Current execution state (running, completed, etc.)
• Details about which tasks are in progress
• Any outputs produced so far

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Step 5: View Final Results

Once execution is complete:

1. The status will change to completed
2. You can view the full execution results and outputs
3. For a more detailed view, check the Executions tab in the crew detail page

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Method 2: Using the API

You can also kickoff crews programmatically using the CrewAI Enterprise REST API.

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Authentication

All API requests require a bearer token for authentication:

curl -H "Authorization: Bearer YOUR_CREW_TOKEN" https://your-crew-url.crewai.com

Your bearer token is available on the Status tab of your crew’s detail page.

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Checking Crew Health

Before executing operations, you can verify that your crew is running properly:

curl -H "Authorization: Bearer YOUR_CREW_TOKEN" https://your-crew-url.crewai.com

A successful response will return a message indicating the crew is operational:

Healthy%

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Step 1: Retrieve Required Inputs

First, determine what inputs your crew requires:

curl -X GET \
  -H "Authorization: Bearer YOUR_CREW_TOKEN" \
  https://your-crew-url.crewai.com/inputs

The response will be a JSON object containing an array of required input parameters, for example:

{"inputs":["topic","current_year"]}

This example shows that this particular crew requires two inputs: topic and current_year.

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Step 2: Kickoff Execution

Initiate execution by providing the required inputs:

curl -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_CREW_TOKEN" \
  -d '{"inputs": {"topic": "AI Agent Frameworks", "current_year": "2025"}}' \
  https://your-crew-url.crewai.com/kickoff

The response will include a kickoff_id that you’ll need for tracking:

{"kickoff_id":"abcd1234-5678-90ef-ghij-klmnopqrstuv"}

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Step 3: Check Execution Status

Monitor the execution progress using the kickoff_id:

curl -X GET \
  -H "Authorization: Bearer YOUR_CREW_TOKEN" \
  https://your-crew-url.crewai.com/status/abcd1234-5678-90ef-ghij-klmnopqrstuv

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Handling Executions

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Long-Running Executions

For executions that may take a long time:

1. Consider implementing a polling mechanism to check status periodically
2. Use webhooks (if available) for notification when execution completes
3. Implement error handling for potential timeouts

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Execution Context

The execution context includes:

• Inputs provided at kickoff
• Environment variables configured during deployment
• Any state maintained between tasks

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Debugging Failed Executions

If an execution fails:

1. Check the “Executions” tab for detailed logs
2. Review the “Traces” tab for step-by-step execution details
3. Look for LLM responses and tool usage in the trace details