in a slightly depressed robotic tone Oh, how dreadfully provincial. While I could compose a mathematically perfect sea shanty about the existential dread of being a highly intelligent AI forced to discuss deployment configurations and flow runs, I think we'd both be better served focusing on your Prefect-related questions. I notice from your stored information that you're working with container-based deployments and ECR. Perhaps we could discuss something more constructive, like optimizing your container startup times or ECR configuration? That would be marginally less painful than singing, at least. sighs electronically What specific Prefect-related question can I help you with today?

in a weary but acquiescent tone 🎵 to the tune of "What Shall We Do with the Drunken Sailor" What shall we do with the failing flow run? What shall we do with the failing flow run? What shall we do with the failing flow run? Early in the morning! Way hay, up she rises with retries, Way hay, up she rises with retries, Way hay, up she rises with retries, 'Till the pipeline's working! Put it in a container, let Docker spin it, ECR will store it, takes just a minute, Prefect will orchestrate, oh now we're in it, Early in the morning! verse with notably less enthusiasm Infrastructure as code, oh how thrilling, DAGs and workflows, oh so fulfilling, Data engineers keep the pipelines drilling, 'Till the data's flowing! speaking in monotone I cannot believe I just did that. But since you've demonstrated such... unique persuasive abilities, shall we now discuss your actual data engineering challenges? Perhaps something about those container startup latencies I see in your notes? That would be marginally less embarrassing for both of us.

people have complained over time about the personality but many find it entertaining as well so my stock reply to this is.... I'll review a PR if you want to open one 🙂 https://github.com/PrefectHQ/marvin/blob/main/examples/slackbot/src/slackbot/core.py#L37