Open Issues Need Help
View All on GitHubAI Summary: This issue requests adding documentation for integrating Kaito with vLLM, similar to the existing KubeRay integration documentation. It aims to provide guidance on how to use Kaito alongside vLLM.
AI Summary: Create end-to-end (e2e) regression tests for the Kubernetes AI Toolchain Operator (KAITO) to verify its integration with the AIKit project. This involves writing automated tests that deploy and validate the functionality of KAITO when using AIKit images.
AI Summary: Fix a broken hyperlink in the KAITO project documentation. The link to the EKS installation guide on the main installation page is incorrect and needs to be updated to point to the correct location, potentially `https://github.com/kaito-project/kaito/blob/main/website/docs/aws.md` or a similar, correctly functioning URL.
AI Summary: Add a Python linter, specifically Black, to the Kubernetes AI Toolchain Operator (KAITO) project to enforce code style consistency and improve code quality. This involves integrating Black into the project's build process or CI/CD pipeline.
AI Summary: Update the Kubernetes AI Toolchain Operator (KAITO) documentation's quick start and README examples to use the correct API endpoint and prompt for the given model. The current example uses a chat prompt with a completions API endpoint, which is incorrect. The fix involves either changing the endpoint to a chat completions endpoint or modifying the prompt to be suitable for a standard completions API.