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LLMKube

v0.8.5 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

Add foreman features: agent version reporting, self-update, and staged rollout via AgentRelease CRD.

Changes in this release

Feature High

foreman adds AgentRelease rollout controller with staged, health‑gated approval

foreman adds AgentRelease rollout controller with staged, health‑gated approval

Source: llm_adapter@2026-06-13

Confidence: high

Feature Medium

foreman reports agent version to the cluster

foreman reports agent version to the cluster

Source: llm_adapter@2026-06-13

Confidence: high

Feature Medium

foreman enables agent self-update for approved AgentReleases

foreman enables agent self-update for approved AgentReleases

Source: llm_adapter@2026-06-13

Confidence: high

Feature Medium

foreman introduces AgentRelease CRD for managed fleet updates

foreman introduces AgentRelease CRD for managed fleet updates

Source: llm_adapter@2026-06-13

Confidence: high

Full changelog

0.8.5 (2026-06-13)

Features

  • foreman,agent: report agent version to the cluster (#672) (8860cb6)
  • foreman,selfupdate: agent self-update so approved AgentReleases roll the fleet (#676) (5917715)
  • foreman: add AgentRelease CRD (scaffold for managed fleet updates) (#674) (55f7d9f)
  • foreman: AgentRelease rollout controller (staged, health-gated, approved) (#675) (aa6bbd0)

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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]