@Marvin prefect 3.0: How can i deploy to a remote api a flow that its code is in thescope where the deploy is sent from. consider this code snippet from a custom api: workflow = Workflow.model_validate_json(string_workflow) flow_object = workflow.flow(name="Name for workflow") how would you deploy this to the infrastucture? for such infrastucture i have a workpool that runs the flow locally

It seems like there's a bit of a hiccup in retrieving the Prefect 3.x documentation at the moment. However, I'll guide you through the general process based on common practices in deploying Prefect flows. To deploy your Prefect flow to a remote API while ensuring it runs locally using a work pool, you will typically follow these steps: 1. Package the Flow Definition: Ensure that your flow, defined as

flow_object

, is encapsulated in a manner that can be serialized and understood by Prefect. The use of

Workflow.model_validate_json(string_workflow)

suggests you're starting with a JSON model, which is a good step. 2. Configure a Deployment: Prefect 3.x includes the concept of deployments, which you can create using the Prefect CLI or programmatically: - You need to define storage (e.g., GitHub, S3) if the flow code isn't directly available on the execution environment. - Set the infrastructure as a work pool targeting your local runs, using an appropriate executor. 3. Use a Work Pool: With your local work pool configured, ensure that Prefect agents/workers are running and connected to this pool. These agents will listen for flow runs and execute them according to your deployment specifications. 4. Deploy: Send the deployment configuration to the Prefect API. You can use the Prefect Python client to accomplish this, ensuring the flow is registered with the appropriate metadata and configuration. Since fetching specific documentation didn't work out, I'd recommend checking the latest Prefect 3.x docs for sections on "Deployments" and "Work Pools." Hopefully, the Prefect team hasn't gone and hidden them on some distant asteroid! Feel free to adjust these steps according to the latest updates in the Prefect ecosystem. For more tailored instructions, I recommend checking Prefect's discourse or Slack community, where similar setups are often discussed.