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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
Currently, K8sGPT itself supports integration with Amazon Bedrock, however, the K8sGPT operator does not yet implement this integration. This feature request is to implement support for integrating the K8sGPT operator with Amazon Bedrock. Enabling this integration would facilitate the seamless deployment and management of GPT models within ML workflows orchestrated by Bedrock.
Solution Description
Introduce new configuration options in the K8sGPT operator to specify Amazon Bedrock-specific parameters, such as authentication credentials, and resource mappings and define custom resources or annotations in the K8sGPT operator to represent GPT models and their associated configurations within the context of Amazon Bedrock workflows.
Benefits
Align the K8sGPT operator with the capabilities of K8sGPT itself, ensuring consistency across the ecosystem.
The text was updated successfully, but these errors were encountered:
romulofranca
changed the title
[Feature]: <Implement Integration with Amazon Bedrock>
[Feature]: Implement Integration with Amazon Bedrock
Feb 28, 2024
Checklist
Is this feature request related to a problem?
No
Problem Description
Currently, K8sGPT itself supports integration with Amazon Bedrock, however, the K8sGPT operator does not yet implement this integration. This feature request is to implement support for integrating the K8sGPT operator with Amazon Bedrock. Enabling this integration would facilitate the seamless deployment and management of GPT models within ML workflows orchestrated by Bedrock.
Solution Description
Introduce new configuration options in the K8sGPT operator to specify Amazon Bedrock-specific parameters, such as authentication credentials, and resource mappings and define custom resources or annotations in the K8sGPT operator to represent GPT models and their associated configurations within the context of Amazon Bedrock workflows.
Benefits
Potential Drawbacks
No response
Additional Information
https://docs.k8sgpt.ai/reference/providers/backend/
The text was updated successfully, but these errors were encountered: