Eight new mainnet suppliers backed by Hetzner's OpenAI-compatible
inference API (https://inference.hetzner.com/api). Pure configuration —
the LLM_BACKEND=openai path is reused unchanged, following the
HuggingFace-router precedent:
kimi-code[-chat] Kimi-K2.7-Code (ctx 262144)
glm[-chat] GLM-5.2-NVFP4 (ctx 512000)
ds-flash-htz[-chat] DeepSeek-V4-Flash-0731 (ctx 512000)
qwen35b[-chat] Qwen/Qwen3.6-35B-A3B-FP8 (ctx 262144)
Uniform 0.2 AP3X per job, default 1 AP3X bonds, no upstream max_tokens
(advert cap = model context length), 300s SLA (1800s for chat sessions).
All four models smoke-tested for non-empty content and tools round-trip.
Runbook: docs/HETZNER_SETUP.md. Adverts, wallets, and host env files are
operator steps after merge; first `up -d` is manual (CD skips projects
with no running containers).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
