Let me provide you with a complete example of a

prefect.yaml

configuration for a shell serve deployment. Here's a properly structured configuration:

yaml
# prefect.yaml
version: 0.0.1
name: my-shell-deployment

deployments:
  - name: shell-serve
    version: 1
    tags: ["shell"]
    description: "Shell serve deployment example"
    schedule: null  # or use a cron expression like "0 0 * * *"
    flow_name: my_shell_flow
    entrypoint: my_flow.py:my_shell_flow
    parameters: {}
    work_pool:
      name: my-shell-pool
      work_queue_name: default
      job_variables:
        command: "python -m prefect.engine serve"

Key components to note: 1. Version and Name: These identify your project 2. Deployments: A list of deployment configurations 3. Work Pool: Specifies the execution environment - Must be configured as a shell work pool - The

command

under

job_variables

specifies the shell command to run To use this configuration: 1. First, create a shell work pool:

bash
prefect work-pool create my-shell-pool --type shell

2. Save the configuration as

prefect.yaml

3. Deploy using:

bash
prefect deploy

You can customize this configuration by: - Adding schedules using cron expressions - Including additional tags - Specifying parameters for your flow - Adding environment variables under

job_variables

Remember that the

entrypoint

should point to your actual flow file and function. The path is relative to the location of your

prefect.yaml

file. For more detailed configuration options, you can refer to the Prefect deployment configuration documentation.