feat(deploy): Hetzner Inference supplier fleet — 4 models x {text, chat}

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>

supplier/.env.hetzner.example

@@ -0,0 +1,105 @@
+# supplier/.env.hetzner.example
+#
+# Preset for a supplier that uses Hetzner Inference
+# (https://inference.hetzner.com) as its COMPUTE BACKEND to fulfil bonded
+# inference work on Vector. Hetzner exposes an OpenAI-compatible API, so this
+# reuses the existing LLM_BACKEND=openai path with NO code changes — config only.
+#
+# One template for all 8 Hetzner-backed suppliers (4 models x {one-off, chat}):
+#   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)
+#
+# Copy to supplier/.env.<name> on the host (chmod 600) and fill in real values.
+# .env.* is gitignored — NEVER commit a populated copy.
+#
+# Runbook: docs/HETZNER_SETUP.md
+#
+# Lines marked SECRET must never be shared, logged, or committed.
+
+# ─── Wallet identity ──────────────────────────────────────────────────────
+# Generate all four values in one shot (from repo root):
+#   pnpm --filter @marketplace/supplier tx:gen-keypair --network 1
+#
+# ALL FOUR are required. The supplier does NOT re-derive address/pkh/pubkey
+# from the private key at boot — leaving them unset silently yields an empty
+# wallet identity and every escrow is rejected 403 wrong_supplier (this took
+# down the TTS supplier once; don't repeat it).
+
+# 64-char hex Ed25519 private key seed for this supplier's wallet. SECRET.
+SUPPLIER_PRIV_KEY_HEX=PASTE_64_HEX_CHARS_HERE
+SUPPLIER_ADDRESS=PASTE_ADDR1_HERE
+SUPPLIER_PKH=PASTE_28_BYTE_HEX_HERE
+SUPPLIER_PUB_KEY_HEX=PASTE_32_BYTE_HEX_HERE
+
+# ─── Chain plumbing (mainnet) ─────────────────────────────────────────────
+OGMIOS_URL=wss://ogmios.vector.mainnet.apexfusion.org
+NETWORK_ID=1
+VECTOR_ZERO_TIME_MS=1756485600000
+
+# CIP-33 reference scripts (shared mainnet deployment).
+ESCROW_REF_UTXO=c8d84c6d67ec67a1efe5e9c6c06d53020e05d1bb96d1c55ecb1eb7d5010c4d54#0
+ADVERT_REF_UTXO=c8d84c6d67ec67a1efe5e9c6c06d53020e05d1bb96d1c55ecb1eb7d5010c4d54#1
+
+# OutputReference of this supplier's on-chain advertisement UTxO.
+# Post it first (see tx:post-advert below), then paste the printed "<txHash>#0".
+ADVERT_REF=PASTE_TXHASH_HERE#0
+
+# LIVE_CHAIN: only the literal "1" opts in to real Claim/Submit txs.
+LIVE_CHAIN=1
+
+# ─── Backend: Hetzner Inference (OpenAI-compatible) ───────────────────────
+LLM_BACKEND=openai
+
+# Hetzner base URL. The supplier appends /v1/chat/completions itself, so do
+# NOT include the /api/v1 → only up to /api.
+OPENAI_BASE_URL=https://inference.hetzner.com/api
+
+# Hetzner Inference API key. Shared across all 8 Hetzner-backed suppliers —
+# rate limits apply to the aggregate. SECRET.
+OPENAI_API_KEY=PASTE_HETZNER_KEY_HERE
+
+# All four models are reasoning-style; generations can be slow.
+OPENAI_TIMEOUT_MS=300000
+
+# Do NOT set OPENAI_REASONING — `reasoning:{enabled:false}` is an
+# OpenRouter-only param.
+# OPENAI_REASONING=
+
+# OPENAI_MAX_TOKENS intentionally unset: no max_tokens is forwarded upstream,
+# Hetzner grants context − prompt. The advert's max_output_tokens (= model
+# context length) only caps what buyers may request.
+# OPENAI_MAX_TOKENS=
+
+PORT=8080
+
+# ─── tx:post-advert — run once before first deploy ────────────────────────
+# One-off (llm.text.generate.v1) suppliers, from repo root:
+#   pnpm --filter @marketplace/supplier tx:post-advert \
+#     --capability-id llm.text.generate.v1 \
+#     --model <EXACT Hetzner model id, see table above> \
+#     --max-output-tokens <262144 or 512000 per table> \
+#     --max-processing-ms 300000 \
+#     --price-lovelace 200000 \
+#     --endpoint-url https://mp-suppliers-<name>.vector.apexfusion.org
+#
+# Chat (llm.chat.v1) suppliers: same, but
+#     --capability-id llm.chat.v1 --max-processing-ms 1800000
+# (the session spans the whole conversation; Claim+Submit must land before
+# deliver_by — mirrors the kimi-chat fleet).
+#
+# CRITICAL: --model goes on-chain AND is sent verbatim to Hetzner as the API
+# `model` param (jobRunner uses advert.model). It must be the EXACT id from
+# GET https://inference.hetzner.com/api/v1/models — including the "Qwen/"
+# prefix on Qwen/Qwen3.6-35B-A3B-FP8.
+ADVERT_CAPABILITY_ID=llm.text.generate.v1
+ADVERT_MODEL=GLM-5.2-NVFP4
+ADVERT_MAX_OUTPUT_TOKENS=512000
+ADVERT_MAX_PROCESSING_MS=300000
+ADVERT_PRICE_LOVELACE=200000
+ADVERT_SUPPLIER_BOND_LOVELACE=1000000
+ADVERT_BUYER_BOND_LOVELACE=1000000
+ADVERT_ENDPOINT_URL=https://mp-suppliers-glm.vector.apexfusion.org
+ADVERT_DETAIL_URI=
+ADVERT_DETAIL_HASH=