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LLMKube

v0.8.20 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 0.8.20, Bug Fixes, and 2026-06-28 across a mixed release.

Full changelog

0.8.20 (2026-06-28)

Features

  • add spec.mode to auto-serve embedding and rerank models (#866) (a7fa09f)
  • cli: add llmkube foreman dispatch to fan issues across coder agents (#879) (1530754)
  • controller: run model-cache-prep init non-root + document PSA/multi-tenancy caveats (#883) (a8049f1)
  • foreman: add a goreleaser-config check to the coder gate (#882) (c8535a7)
  • foreman: add vulkan to the accelerator routing enum (#878) (315dadc)
  • foreman: branch the coder off upstream/main, not the stale fork base (#875) (f4c382c)
  • foreman: deterministically resolve codegen drift in the coder gate (#874) (332f7eb)
  • foreman: durable FleetNode labels via --node-labels (survive pod restart) (#885) (fdda5a8)
  • foreman: scope-overlap guard catches wrong-subsystem coder drift (#876) (795bf23)

Bug Fixes

  • foreman: raise coder agent memory limit default to 8Gi (#884) (8b3ee32)

Documentation

  • add AI-assisted contribution policy (#872) (e65f2fa)
  • foreman: enable a coder-capable in-cluster agent (image in llmkube-runtimes) (#877) (9bc3d2c)

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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]