[Feature]: Add Groq as LLM provider for k8sgpt

[vdamov]

Checklist

• I've searched for similar issues and couldn't find anything matching
• I've discussed this feature request in the K8sGPT Slack and got positive feedback

Is this feature request related to a problem?

No

Problem Description

I would like to propose integrating Groq as a language model provider for the k8sgpt project. Groq provides highly efficient compute for AI and ML models, which could enhance the performance and scalability of the k8sgpt platform, especially for Kubernetes troubleshooting tasks that demand quick, intelligent decision-making. By leveraging Groq's capabilities, we can potentially improve response times and handle more complex scenarios with increased efficiency.

Solution Description

• Investigate Groq’s API compatibility with the existing k8sgpt architecture.
• Create an adapter or plugin to integrate Groq as an additional model provider.

Additional Information: For more details on Groq, their official website provides comprehensive documentation: Groq Official Site.

Benefits

• Free limited access to LLMs, making it easier for users to get started without immediate financial investment.
• Enhanced model performance.
• Improved resource efficiency.
• Scalability for large-scale Kubernetes clusters.

Potential Drawbacks

No response

Additional Information

No response