CDCgov / CDCgov/cfa-cloudops

Scope adding an AI Agent for managing Azure workloads

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#89 1 comment 0 reactions 1 assignee View on GitHub

@xop5 is already working on this.

Since Dec 11, 2025.

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Python
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Description

Creating a job requires the following steps:

  • Authenticate with Azure Identity
  • Upload configuration and/or input data to Blob Storage
  • Create a batch pool with mounted containers
  • Define a Docker container and deploy to Azure Container Registry
  • Define a set of tasks with specific dependencies and exit conditions
  • Run the job

All these tasks make API calls to Azure Batch, Azure Blob or Azure Container service.

These can be automated with the help of agent that uses an LLM model to understand a goal (e.g. Create a job that runs the code from my_folder).

The agent can use an Agentic AI framework (e.g Azure Foundry, OpenAI LLM models) to automate this workflow.

Implementation Details

To be provided later

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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