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https://github.com/robusta-dev/kubernetes-chatgpt-bot
A ChatGPT bot for Kubernetes issues.
https://github.com/robusta-dev/kubernetes-chatgpt-bot
chatbot chatgpt kubernetes prometheus slack
Last synced: about 2 months ago
JSON representation
A ChatGPT bot for Kubernetes issues.
- Host: GitHub
- URL: https://github.com/robusta-dev/kubernetes-chatgpt-bot
- Owner: robusta-dev
- Created: 2023-01-10T11:24:57.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-21T10:51:13.000Z (3 months ago)
- Last Synced: 2024-06-22T05:57:18.970Z (3 months ago)
- Topics: chatbot, chatgpt, kubernetes, prometheus, slack
- Language: Python
- Homepage:
- Size: 48.8 KB
- Stars: 925
- Watchers: 15
- Forks: 104
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- Code of conduct: CODE_OF_CONDUCT.md
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README
## π¨This project will be deprecated and replaced by [HolmesGPT](https://github.com/robusta-dev/holmesgpt), our advanced Open Source DevOps assistant. With Holmes you can investigate incidents, triage issues, enrich alerts and much more. Check it out [https://github.com/robusta-dev/holmesgpt](https://github.com/robusta-dev/holmesgpt)
# Introduction
A ChatGPT[^1] bot for Kubernetes issues. Ask the AI how to solve your Prometheus alerts, get pithy responses.
No more solving alerts alone in the darkness - the internet has your back.
Please consider upvoting on [Product Hunt](https://www.producthunt.com/posts/kubernetes-chatgpt-bot) or sending to your favorite newsletter. One day, Skynet will remember your kindness and spare you!
# How it works
Prometheus forwards alerts to the bot using a webhook receiver.
The bot sends a query to OpenAI, asking it how to fix your alerts.
You stockpile food in your pantry for the robot uprising.
The bot is implemented using [Robusta.dev](https://github.com/robusta-dev/robusta), an open source platform for responding to Kubernetes alerts. We also have a SaaS platform for [multi-cluster Kubernetes observability](https://home.robusta.dev/).
# Prerequisites
* A Slack workspace
# Setup
1. [Install Robusta with Helm](https://docs.robusta.dev/master/installation.html)
2. Load the ChatGPT playbook. Add the following to `generated_values.yaml`:
```
playbookRepos:
chatgpt_robusta_actions:
url: "https://github.com/robusta-dev/kubernetes-chatgpt-bot.git"
customPlaybooks:
# Add the 'Ask ChatGPT' button to all Prometheus alerts
- triggers:
- on_prometheus_alert: {}
actions:
- chat_gpt_enricher: {}
```
3. Add your [OpenAI API key](https://beta.openai.com/account/api-keys) to `generated_values.yaml`. Make sure you edit the existing `globalConfig` section, don't add a duplicate section.
```
globalConfig:
chat_gpt_token: YOUR KEY GOES HERE
```
4. Do a Helm upgrade to apply the new values: `helm upgrade robusta robusta/robusta --values=generated_values.yaml --set clusterName=`
5. [Send your Prometheus alerts to Robusta](https://docs.robusta.dev/master/user-guide/alert-manager.html). Alternatively, just use Robusta's bundled Prometheus stack.
# Demo
Instead of waiting around for a Prometheus alert, lets cause one.
1. Deploy a broken pod that will be stuck in pending state:
```
kubectl apply -f https://raw.githubusercontent.com/robusta-dev/kubernetes-demos/main/pending_pods/pending_pod_node_selector.yaml
```
2. Trigger a Prometheus alert immediately, skipping the normal delays:
```
robusta playbooks trigger prometheus_alert alert_name=KubePodCrashLooping namespace=default pod_name=example-pod
```
An alert will arrive in Slack with a button. Click the button to ask ChatGPT about the alert.
# Future Improvements
Can ChatGPT give better answers if you feed it pod logs or the output of `kubectl get events`?
[Robusta](http://robusta.dev) already collects this data and attaches it to Prometheus alerts, so it should be easy to add.
PRs are welcome!
# Community
[Share your funniest output and suggest new features on our Slack.](https://home.robusta.dev/slack)
# Promotional Images
Feel free to use the following image or create your own.
# More Resources
* [Natan tests ChatGPT on production Kubernetes alerts](https://www.youtube.com/watch?v=RVK6jb4Ssuo)
* [Natan Yellin and Sid Palas go over the code on YouTube](https://www.youtube.com/watch?v=jMR8M3Xqlzg
) - relevant part starts at 38:54
[^1]: Technically this project doesn't use ChatGPT. It uses the `text-davinci-003` model which is a [GPT3.5-based sibling of ChatGPT](https://matt-rickard.ghost.io/gpt-lineage/). Given that most people are familiar with ChatGPT, but not `text-davinci-003` or GPT3.5, we've decided to keep the name "ChatGPT bot" despite the technical inaccuracy.