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GitHub - wilson090/k8sAI: k8sAI is a RAG-enabled GPT for working with k8s

May 02, 2024 - github.com
The article introduces k8sAI, a RAG-enabled GPT that uses a vector store with the embeddings of the Kubernetes documentation. The tool can answer general questions about Kubernetes, explain the output of provided kubectl commands, and suggest commands for easy execution. It can also understand an issue using kubectl commands and suggest a fix. The tool uses Execute_Kubectl_CMD_Tool, Suggest_Kubectl_CMD_Tool, and k8s_search to perform its functions. However, users are warned that the tool sends data to OpenAI's servers and executes kubectl commands, which could potentially have unintended consequences.

The article also provides instructions for installing and using k8sAI. It can be installed using the package manager pip, and requires the OpenAI API key to be set as an environment variable. The tool can be used to start a conversation, explain the output of a Kubernetes command, or suggest a fix based on a provided description of the problem. It also provides the option to disable the execution of kubectl commands for safety. The article concludes by inviting contributions through pull requests and stating that the code is distributed under the AGPL v3 license.

Key takeaways:

  • k8sAI is a RAG-enabled GPT that uses a vector store with the Kubernetes documentation to answer questions, explain kubectl commands, and suggest fixes.
  • k8sAI uses tools like Execute_Kubectl_CMD_Tool, Suggest_Kubectl_CMD_Tool, and k8s_search to gather information, suggest commands, and provide solutions.
  • Before using k8sAI, the OpenAI API key should be set as an environment variable.
  • k8sAI can be interacted with through chat, explain, and fix commands, and it has the option to disable execution of kubectl commands for safety.
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