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LLMKube

v0.9.12 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, 0.9.12, and 2026-07-26 across a mixed release.

Full changelog

0.9.12 (2026-07-26)

Features

  • add --prompt-depth-sweep to benchmark command (#1280) (eb511f9)
  • foreman: support chat_template_kwargs on agent chat requests (#1285) (1028335)
  • grafana: add SGLang and vLLM runtime dashboards (#1266) (07f340a)
  • grafana: union llama.cpp, sglang and vLLM metrics on the inference dashboard (#1248) (7cb226b)
  • hack: spine probes for models given repo access (#1274) (b7b3d9b)

Bug Fixes

  • Available condition reflects Stopped and Suspended phases (#1273) (208bd79)
  • disable llama.cpp prompt cache in benchmark requests (#1272) (eaa61ad)
  • foreman: apply the empty-assistant guard to the preserved truncated turn (#1282) (b1f51cc)
  • foreman: hold the session compaction drop point steady across turns (#1287) (febcb2a)
  • foreman: three first-run failures on a clean cluster (#1295) (5ca3e64)
  • gate: check non-Go changes against the shared merge-base, not HEAD~1 (#1284) (6940033)
  • spine-probes: restore --max-tokens and the 'none' ablation arm (#1278) (9493201)

Documentation

  • foreman: fix AgenticTask names in minimal example (#1290) (7659f29)

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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]