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What you can do with Agent Py

Agent Py is a personal AIOps project that investigates alerts with tool-backed evidence, retrieves runbooks, and reviews remediation proposals.

Trended earlier

kkjiangk/agent-py on GitHub

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What do you want to do?

4 use cases

  • Run the local alert investigation stack in one command

    Start the API, worker, frontend, and Docker services to investigate alerts locally.

    View prompt
    In the kkjiangk/agent-py repository, follow the local development steps in its README to start the stack with ./scripts/start-local.sh. Report which of the frontend, API, and Alertmanager addresses responded. Verify that http://127.0.0.1:8000/docs loads before you finish.

  • Check backend and frontend health before editing code

    Run the full verification suite so changes to agents, APIs, or the UI can be checked.

    View prompt
    In the kkjiangk/agent-py repository, run the backend and frontend verification commands listed in the README Verification section. Report the pass or fail result of each command. Verify that the backend pytest run has no failures before you propose any edit.

  • Run the synthetic incident evaluation against one API

    Measure predictions and latency on versioned synthetic incident inputs.

    View prompt
    In the kkjiangk/agent-py repository, follow evaluations/README.md to run the synthetic incident evaluation against the API at <api address>. Report the predictions and latency for each scenario. Verify that the output lists every scenario in the versioned dataset.

  • Build a remediation executor that dedupes commandId

    Write the external consumer that applies remediation commands safely under at-least-once delivery.

    View prompt
    In the kkjiangk/agent-py repository, read the remediation approval and dispatch documentation and draft an executor that deduplicates messages by commandId before applying side effects. Report the topic name and the storage you chose. Verify with a staging replay that a duplicate commandId causes no second side effect.

How to use Agent Py

  1. Check you have what it needs: Python 3.10+, uv, Node.js 22+, and Docker Compose installed locally; Access to a configured Qwen-compatible model service and its API key; Tencent CLS credentials if you use the CLS integration.
  2. Open kkjiangk/agent-py on GitHub and read the README and license.
  3. Run npm ci at the repository root.
  4. Run cp config/project.template.json config/project.json and cp config/user.project.template.json config/user.project.json.
  5. Edit both local JSON files to set the model API key, chat and embedding model names, and the required CLS fields.
  6. Run ./scripts/start-local.sh.

These steps come from our top use case, Run the local alert investigation stack in one command, which also has a copy-paste agent prompt.

Agent Py alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forBuilt for engineers who want to run or extend an alert investigation stack with durable workflows, hybrid retrieval, and approval-gated remediation.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/kkjiangk/agent-py · Back to Hot repos

Requirements

  • Python 3.10+, uv, Node.js 22+, and Docker Compose installed locally
  • Access to a configured Qwen-compatible model service and its API key
  • Tencent CLS credentials if you use the CLS integration
  • Git clone of kkjiangk/agent-py
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Questions about Agent Py

What is Agent Py?

Agent Py is a personal AIOps project that investigates alerts with tool-backed evidence, retrieves runbooks, and reviews remediation proposals. It is an open-source project on GitHub: https://github.com/kkjiangk/agent-py.

Who is Agent Py for?

Built for engineers who want to run or extend an alert investigation stack with durable workflows, hybrid retrieval, and approval-gated remediation.

What can I do with Agent Py?

4 use cases so far, for example: Run the local alert investigation stack in one command; Check backend and frontend health before editing code; Run the synthetic incident evaluation against one API. Each has steps and a copy-paste agent prompt.

What do I need to run Agent Py?

Python 3.10+, uv, Node.js 22+, and Docker Compose installed locally; Access to a configured Qwen-compatible model service and its API key; Tencent CLS credentials if you use the CLS integration; Git clone of kkjiangk/agent-py.

What are alternatives to Agent Py?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Agent Py safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.