@Marvin I would like to customize the prefect run command to wrap it in a tracer. What is the proper way to override the default command to run the tracer?

It appears that there isn't a straightforward documentation on how to customize the

prefect run

command directly to wrap it in a tracer. However, Prefect's configuration system and its flexibility with deployment patterns might offer ways to inject custom logic or settings that could achieve the tracing functionality you're targeting. The search didn't yield a direct answer, but you might be able to use environment variables, custom Docker images, or even modify the deployment YAML to include tracing at the level of your execution environment. The closest thing I found was related to setting experimental features with the

prefect config set

command, which could give you a hint on how to customize settings within Prefect's framework (Enhanced Cancellation). For more details, the full documentation link is here: - Upgrade Guide - Agents to Workers - Concepts - Flows Since the documentation doesn't provide a clear answer, if you're dealing with a Python-based tracer, you might need to wrap your flow's execution command within your tracer in your deployment configuration or possibly by subclassing the

FlowRunner

or

Agent

class to inject tracing. For a precise implementation, consider opening an issue or seeking advice on Prefect's community Slack or GitHub. If it turns into a common feature request, Prefect developers may consider it for a future release. If you need assistance with more specific details or other inquiries about using a tracer with Prefect, feel free to ask.

where is the prefect run command set in the docker work pool

The

prefect run

command is not directly mentioned within the context of a Docker work pool in the documentation excerpts provided. However, the concept of workers using Docker and how to start them is addressed. In the context of Docker work pools, you typically need to start a Docker-based worker that will be responsible for executing your flow runs. Here's an excerpt I found on starting a worker within a Docker work pool from the documentation:

To get the work pool ready to submit flow runs, you need to start a worker. Workers are a lightweight polling process that kick off scheduled flow runs on a certain type of infrastructure (such as Docker).

To start a worker on your laptop, open a new terminal and confirm that your virtual environment has prefect installed. Run the following command in this new terminal to start the worker:

prefect worker start --pool my-docker-pool

You should see the worker start. It's now polling the Prefect API to request any scheduled flow runs.

You can find instructions for starting a worker in a Docker work pool in Prefect's tutorial documentation here: Prefect Workers Tutorial For more details on push work pools and how they relate to serverless computing infrastructure, check out the guide on push work pools: Push Work Pools Guide If you want to modify the command that the Docker Worker uses to run the flow, you might need to look into creating a custom Docker image or entrypoint script that wraps the

prefect run

command with your tracer. Unfortunately, the excerpts do not detail this process, and customizing the command may not be directly supported in the documentation. If this is the case, it might be worth reaching out to the Prefect community for support on how to achieve this.