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LLMKube

v0.8.28 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai apple-silicon autoscaling edge-computing gguf gpu
+12 more
self-hosted inference kubernetes llama-cpp llm local-llm metal mlx multi-gpu nvidia tgi vllm

Summary

AI summary

Updates Bug Fixes, 0.8.28, and 2026-07-04 across a mixed release.

Full changelog

0.8.28 (2026-07-04)

Features

  • foreman: bounded fix iteration on reviewer NO-GO instead of terminal failure (#959) (d820fff)
  • foreman: coder-tier escalation, re-dispatch a failed coder to a larger model (#964) (ce8f655)
  • foreman: executor-owned revise-from-branch restore for revision tasks (#967) (b76051c)
  • foreman: open the pull request on review GO (#956) (fd852e1)
  • inference: add spec.modelCache.claimName for user-owned cache PVCs (#960) (aab5a58)

Bug Fixes

  • foreman: accept workspace-internal absolute paths in resolveInside (#957) (34b126c)
  • foreman: defer generic self-gate when runtime is missing from coder image (#958) (df185ec)
  • foreman: reject no-op str_replace where old_string equals new_string (#969) (c71f38b)
  • foreman: scope-overlap check catches Go files in new directories (#962) (486a944)
  • inference: warn when modelCache.claimName is silently ignored (#966) (d49cd22)

Documentation

  • register the Karpenter GPU autoscaling guide in nav.yaml (#954) (88b9c7d)

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About LLMKube

Kubernetes operator for llama.cpp-native LLM inference with GPU scheduling, Apple Silicon Metal support, and OpenAI-compatible API.

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Related context

Earlier breaking changes

  • v0.8.1 foreman: requestTimeoutSeconds now sets loop-wide budget, default changes from 600 to 3600.

Beta — feedback welcome: [email protected]