v0.1.0

Added

• OpenAI-compatible gateway (/v1/chat/completions, /v1/completions,
  /v1/embeddings, /v1/models) in front of one or more llama-server
  processes, one per model.
• Three workload classes (interactive, background, batch) selected per
  request via header, body or model suffix; strict ordering with bounded
  background starvation (policy.background_max_starvation).
• VRAM-aware admission with GGUF-based estimates (weights, per-layer KV cache
  including sliding-window / shared-KV / hybrid layouts, mmproj, buffers),
  replaced by measured per-process VRAM after the first load.
• Model residency: pinned / hot / cold tiers, LRU eviction, drain before stop,
  reservations against over-commit.
• Chunked embeddings with yield points between chunks.
• Failure handling: crash detection, per-model circuit breaker, profile
  reset on out-of-memory, orphan reaping on restart.
• gridcore bench to measure models; gridcore models --explain for
  estimate breakdowns; gridcore status --watch dashboard; Prometheus
  metrics; /admin/state.
• Fake runtime and fake GPU for running and testing without hardware.
• scripts/install-llamacpp.sh, demo scripts, systemd user unit,
  mixed-class load generator.