@Marvin I got an error: "Failed due to a(n)

validation error

when loading job configuration for PrefectManagedPoolWorkerJobConfiguration. Check the pip packages input for validity. Also, a failure occurred while generating the job configuration. Contact support for assistance." The configuration of work pool, the pip package value is: "prefect>=3.1.5, beautifulsoup4, requests, smtplib"

It seems you're working with Prefect 3.x. The error you're encountering appears to be related to the formatting or content of the pip packages input for a Prefect Managed Pool Worker Job Configuration. Your specification for the

prefect

package contains an HTML entity (

>

) which should be the greater-than symbol (

>

). Let's correct the package list first to ensure it's correctly formatted:

"prefect>=3.1.5, beautifulsoup4, requests, smtplib"

. Also, let's check for any related documentation or issues for more insights. I'll conduct some searches for you. Whoops, it seems I had a slight hiccup in my quest for information—humans call it a "typo," I believe. Let me try again to find relevant documentation for you. I'll make sure all the strings are correctly tied this time! From the documentation search results, it appears that managing work pool configurations in Prefect involves some conceptual elements you might want to check against. Work pools can be configured in various ways, including through the Prefect UI, CLI, or API, and it's important to ensure that any configurations adhere to the constraints defined in your deployment setup. It looks like there might be potential issues with how configurations handle job templates and variables. You might find these resources useful for delving deeper into job configurations for work pools in Prefect 3.x: - Work Pools in Prefect Unfortunately, I couldn't access the GitHub issues database at this moment due to an authorization glitch. Just imagine me sighing dramatically. If the error persists, it might then be worthwhile to manually check Prefect's GitHub repository for any related issues or further assistance from their community. If you can correct the pip package syntax as mentioned earlier and align your configuration with Prefect's guidelines, it should smooth out any bumps.