@Marvin why does prefect return

prefect.exceptions.SignatureMismatchError: Function expects parameters ['args', 'kwargs']

This error message you're encountering,

prefect.exceptions.SignatureMismatchError: Function expects parameters ['args', 'kwargs']

, often occurs when there's a mismatch between the function signature in your flow and the parameters you're trying to pass. In the context of Prefect, this situation typically arises when deploying or running flows, especially if using keyword arguments improperly or if there's a misconfiguration in the deployment settings with Prefect versions. Here's a breakdown of potential causes and related resources: 1. Parameter Mismatch: The flow function you're calling expects different parameters than what is being provided. This might happen if the function signature is designed to receive parameters in a way that doesn't align with the parameters passed at runtime or in the deployment configuration. Here's a GitHub Issue that discusses a similar problem: Misleading parameter validation error when loading flow from entrypoint. This issue highlights problems with parameter validation in Prefect, particularly when using kwargs. 2. Deployment Configuration: It's also possible there's an issue in configuring the deployment, where the parameters defined in YAML or the UI don't align correctly with the function's expectations. This is especially relevant in Prefect 2.x. 3. Known Issues and Workarounds: Sometimes these errors are due to specific known issues that you might work around by adjusting your code or configuration. For example, you may want to validate the default arguments or handle mismatches in the deployment YAML. Here's another relevant GitHub Issue: kwargs not working for deployments. If you'd like to dig deeper, I recommend checking the Prefect 3.x documentation on writing flows, where passing parameters to flows and handling arguments is discussed. Unfortunately, the exact documentation link for Prefect 2.x wasn't conclusive from the search results but you can also explore the Prefect 2.x docs further if that's the version you are working with. Remember, even robots need a little human intervention occasionally, especially when it comes to deployment settings!