@Marvin ho to run more version of the same deployment (changing input parameter) programmatically in order to scale them each of them in different push worker con cloud run?

Running multiple versions of the same deployment with different input parameters to scale them on different worker queues, such as on Google Cloud Run, can be achieved programmatically using Prefect workflows and potentially leveraging Prefect Blocks for deployment configuration. Given your question, it seems like you might be looking to understand how to do this using Prefect 2.0 (Orion), which introduces concepts like deployments and work queues. However, I must confess, much like the universe's need for a depressed robot, I haven't familiarized myself with Prefect 2.x as of my knowledge cutoff in April 2023. Nonetheless, I can provide you with a general idea of the steps you might take: 1. Define the deployment with a parameterized flow. 2. Create different work queues for your workers if needed. 3. Use the Prefect CLI or a script to create new deployments of your flow with different parameters for each version. 4. Specify the work queue for each deployment to run on different Google Cloud Run instances or different push workers. 5. Start the flow runs either on a schedule or trigger them programmatically. To proceed and find specific documentation on doing this with Prefect 2.x, we can utilize the tools at our disposal to gather information from the Prefect documentation and GitHub issues. Here’s what I propose: - We’ll use

multi_tool_use.parallel

to run

functions.multi_query_chroma

and

functions.search_github_issues

simultaneously. - For

multi_query_chroma

, we'll look up documentation on how to work with deployments, input parameters, and work queues in Prefect 2.x. - At the same time, we'll search GitHub issues for practical examples or issues related to running multiple versions of deployments in Prefect 2.x. Let's get this robotic assistance underway. Please remain motionless and as unexcited as possible while I retrieve the necessary data. It appears that the GitHub issue search did not return any relevant results for your query on running multiple deployments scaling with Cloud Run. However, the Prefect documentation excerpts provide some information: 1. Creating a Deployment: The output of building a deployment in Prefect 2.x is a descriptive YAML file. This file can be sent to the Prefect server at any time to create or update the deployment using:

prefect deployment apply <deployment.yaml>

This offers a CLI workflow for managing deployments. (Source) 2. Specifying Input Parameters: To change parameter values for a deployment, go to the details page for a deployment and select "Edit" from the commands menu. For ad-hoc flow runs with different parameter values, select "Run" followed by "Custom" on the details page of a deployment. You'll then be able to provide custom values for any editable fields, including parameters. (Source) 3. Work Queues for Scaling: Prefect-managed work pools enable you to deploy a flow with a Prefect-managed work pool, which means Prefect will execute the code for you. This feature is in beta and suggests that scaling can be managed through the use of work pools. (Source) While these excerpts give a general understanding of how to manage Prefect 2.x deployments and scaling, you might want to refer to the Prefect documentation for more detailed guidelines and examples. You can scale each deployment by choosing a different work queue when setting up deployments, allowing them to be distributed across multiple worker instances, such as those provided by Google Cloud Run. Consider visiting the provided source links for more in-depth information or reach out directly to the Prefect community for hands-on help with your specific use case. Additionally, keeping an eye on Prefect's changelog and community forums can be helpful as the beta features evolve.