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>
This commit is contained in:
david
2026-08-11 14:24:51 +02:00
parent 83f81ab5fc
commit 6c5a068fd9
10 changed files with 985 additions and 0 deletions

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# deploy/mainnet/docker-compose.supplier-ds-flash-htz-chat.yml — Supplier — MAINNET
# (Hetzner Inference / DeepSeek-V4-Flash-0731 — MULTI-TURN CHAT capability `llm.chat.v1`)
#
# The chat-session sibling of docker-compose.supplier-ds-flash-htz.yml. Same
# image, same Hetzner backend (DeepSeek-V4-Flash-0731), but CAPABILITY_KIND=chat-session so
# it mounts /v1/chat/{start,message,end} (escrow bookends, off-chain streaming
# turns) instead of the one-off /v1/chat/completions route.
#
# A SEPARATE process/advert from the one-off supplier on purpose: the chat
# session holds the supplier's single-slot lock for the whole conversation
# (minutes), which would starve one-off traffic if co-hosted.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-ds-flash-htz-chat.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.ds-flash-htz-chat written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# The advert must be posted with --capability-id llm.chat.v1 and a large
# --max-processing-ms (~1800000) so Claim+Submit both land before deliver_by.
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-ds-flash-htz-chat
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-ds-flash-htz-chat
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.ds-flash-htz-chat
required: false
environment:
# Multi-turn chat session capability (mounts /v1/chat/{start,message,end}).
CAPABILITY_KIND: chat-session
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; mirror the one-off compose.
OPENAI_TIMEOUT_MS: "300000"
# Idle end (supplier Submits the transcript): single-slot suppliers must
# free up quickly (the gateway transparently reopens a session on the
# next turn). Mirrors the kimi-chat fleet.
CHAT_IDLE_TIMEOUT_MS: "900000"
CHAT_SETTLE_MODE: ticket
MAX_CHAT_SESSIONS: "8"
PORT: "8080"
# Enable LiveOgmiosProvider so Claim/Submit actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.ds-flash-htz-chat on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-chat-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-chat-mainnet.rule=Host(`mp-suppliers-ds-flash-htz-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-chat-mainnet.middlewares=mp-suppliers-ds-flash-htz-chat-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-ds-flash-htz-chat-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-ds-flash-htz-chat-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-chat-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-chat-mainnet-tls.rule=Host(`mp-suppliers-ds-flash-htz-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-chat-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-ds-flash-htz-chat-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

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# deploy/mainnet/docker-compose.supplier-ds-flash-htz.yml — Supplier — MAINNET
# (Hetzner Inference / DeepSeek-V4-Flash-0731 — one-off `llm.text.generate.v1`)
#
# Hetzner-backed supplier. LLM_BACKEND=openai pointed directly at Hetzner's
# hosted inference API (OpenAI-compatible at https://inference.hetzner.com/api).
# No local proxy container — reachable over public HTTPS.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-ds-flash-htz.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.ds-flash-htz written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-ds-flash-htz
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-ds-flash-htz
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.ds-flash-htz
required: false
environment:
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; matches the advert's
# max_processing_ms (300000).
OPENAI_TIMEOUT_MS: "300000"
# OPENAI_MAX_TOKENS intentionally unset: no max_tokens forwarded upstream,
# the provider grants context − prompt. Advert cap = model context length.
PORT: "8080"
# Enable LiveOgmiosProvider so submitTx/awaitTx actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.ds-flash-htz on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-mainnet.rule=Host(`mp-suppliers-ds-flash-htz.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-mainnet.middlewares=mp-suppliers-ds-flash-htz-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-ds-flash-htz-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-ds-flash-htz-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-mainnet-tls.rule=Host(`mp-suppliers-ds-flash-htz.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-ds-flash-htz-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-ds-flash-htz-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

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# deploy/mainnet/docker-compose.supplier-glm-chat.yml — Supplier — MAINNET
# (Hetzner Inference / GLM-5.2-NVFP4 — MULTI-TURN CHAT capability `llm.chat.v1`)
#
# The chat-session sibling of docker-compose.supplier-glm.yml. Same
# image, same Hetzner backend (GLM-5.2-NVFP4), but CAPABILITY_KIND=chat-session so
# it mounts /v1/chat/{start,message,end} (escrow bookends, off-chain streaming
# turns) instead of the one-off /v1/chat/completions route.
#
# A SEPARATE process/advert from the one-off supplier on purpose: the chat
# session holds the supplier's single-slot lock for the whole conversation
# (minutes), which would starve one-off traffic if co-hosted.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-glm-chat.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.glm-chat written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# The advert must be posted with --capability-id llm.chat.v1 and a large
# --max-processing-ms (~1800000) so Claim+Submit both land before deliver_by.
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-glm-chat
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-glm-chat
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.glm-chat
required: false
environment:
# Multi-turn chat session capability (mounts /v1/chat/{start,message,end}).
CAPABILITY_KIND: chat-session
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; mirror the one-off compose.
OPENAI_TIMEOUT_MS: "300000"
# Idle end (supplier Submits the transcript): single-slot suppliers must
# free up quickly (the gateway transparently reopens a session on the
# next turn). Mirrors the kimi-chat fleet.
CHAT_IDLE_TIMEOUT_MS: "900000"
CHAT_SETTLE_MODE: ticket
MAX_CHAT_SESSIONS: "8"
PORT: "8080"
# Enable LiveOgmiosProvider so Claim/Submit actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.glm-chat on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-glm-chat-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-glm-chat-mainnet.rule=Host(`mp-suppliers-glm-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-glm-chat-mainnet.middlewares=mp-suppliers-glm-chat-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-glm-chat-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-glm-chat-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-glm-chat-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-glm-chat-mainnet-tls.rule=Host(`mp-suppliers-glm-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-glm-chat-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-glm-chat-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

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# deploy/mainnet/docker-compose.supplier-glm.yml — Supplier — MAINNET
# (Hetzner Inference / GLM-5.2-NVFP4 — one-off `llm.text.generate.v1`)
#
# Hetzner-backed supplier. LLM_BACKEND=openai pointed directly at Hetzner's
# hosted inference API (OpenAI-compatible at https://inference.hetzner.com/api).
# No local proxy container — reachable over public HTTPS.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-glm.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.glm written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-glm
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-glm
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.glm
required: false
environment:
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; matches the advert's
# max_processing_ms (300000).
OPENAI_TIMEOUT_MS: "300000"
# OPENAI_MAX_TOKENS intentionally unset: no max_tokens forwarded upstream,
# the provider grants context − prompt. Advert cap = model context length.
PORT: "8080"
# Enable LiveOgmiosProvider so submitTx/awaitTx actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.glm on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-glm-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-glm-mainnet.rule=Host(`mp-suppliers-glm.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-glm-mainnet.middlewares=mp-suppliers-glm-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-glm-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-glm-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-glm-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-glm-mainnet-tls.rule=Host(`mp-suppliers-glm.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-glm-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-glm-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

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# deploy/mainnet/docker-compose.supplier-kimi-code-chat.yml — Supplier — MAINNET
# (Hetzner Inference / Kimi-K2.7-Code — MULTI-TURN CHAT capability `llm.chat.v1`)
#
# The chat-session sibling of docker-compose.supplier-kimi-code.yml. Same
# image, same Hetzner backend (Kimi-K2.7-Code), but CAPABILITY_KIND=chat-session so
# it mounts /v1/chat/{start,message,end} (escrow bookends, off-chain streaming
# turns) instead of the one-off /v1/chat/completions route.
#
# A SEPARATE process/advert from the one-off supplier on purpose: the chat
# session holds the supplier's single-slot lock for the whole conversation
# (minutes), which would starve one-off traffic if co-hosted.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-kimi-code-chat.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.kimi-code-chat written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# The advert must be posted with --capability-id llm.chat.v1 and a large
# --max-processing-ms (~1800000) so Claim+Submit both land before deliver_by.
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-kimi-code-chat
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-kimi-code-chat
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.kimi-code-chat
required: false
environment:
# Multi-turn chat session capability (mounts /v1/chat/{start,message,end}).
CAPABILITY_KIND: chat-session
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; mirror the one-off compose.
OPENAI_TIMEOUT_MS: "300000"
# Idle end (supplier Submits the transcript): single-slot suppliers must
# free up quickly (the gateway transparently reopens a session on the
# next turn). Mirrors the kimi-chat fleet.
CHAT_IDLE_TIMEOUT_MS: "900000"
CHAT_SETTLE_MODE: ticket
MAX_CHAT_SESSIONS: "8"
PORT: "8080"
# Enable LiveOgmiosProvider so Claim/Submit actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.kimi-code-chat on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-kimi-code-chat-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-kimi-code-chat-mainnet.rule=Host(`mp-suppliers-kimi-code-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-kimi-code-chat-mainnet.middlewares=mp-suppliers-kimi-code-chat-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-kimi-code-chat-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-kimi-code-chat-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-kimi-code-chat-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-kimi-code-chat-mainnet-tls.rule=Host(`mp-suppliers-kimi-code-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-kimi-code-chat-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-kimi-code-chat-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

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@@ -0,0 +1,88 @@
# deploy/mainnet/docker-compose.supplier-kimi-code.yml — Supplier — MAINNET
# (Hetzner Inference / Kimi-K2.7-Code — one-off `llm.text.generate.v1`)
#
# Hetzner-backed supplier. LLM_BACKEND=openai pointed directly at Hetzner's
# hosted inference API (OpenAI-compatible at https://inference.hetzner.com/api).
# No local proxy container — reachable over public HTTPS.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-kimi-code.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.kimi-code written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-kimi-code
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-kimi-code
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.kimi-code
required: false
environment:
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; matches the advert's
# max_processing_ms (300000).
OPENAI_TIMEOUT_MS: "300000"
# OPENAI_MAX_TOKENS intentionally unset: no max_tokens forwarded upstream,
# the provider grants context − prompt. Advert cap = model context length.
PORT: "8080"
# Enable LiveOgmiosProvider so submitTx/awaitTx actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.kimi-code on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-kimi-code-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-kimi-code-mainnet.rule=Host(`mp-suppliers-kimi-code.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-kimi-code-mainnet.middlewares=mp-suppliers-kimi-code-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-kimi-code-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-kimi-code-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-kimi-code-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-kimi-code-mainnet-tls.rule=Host(`mp-suppliers-kimi-code.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-kimi-code-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-kimi-code-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

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@@ -0,0 +1,100 @@
# deploy/mainnet/docker-compose.supplier-qwen35b-chat.yml — Supplier — MAINNET
# (Hetzner Inference / Qwen/Qwen3.6-35B-A3B-FP8 — MULTI-TURN CHAT capability `llm.chat.v1`)
#
# The chat-session sibling of docker-compose.supplier-qwen35b.yml. Same
# image, same Hetzner backend (Qwen/Qwen3.6-35B-A3B-FP8), but CAPABILITY_KIND=chat-session so
# it mounts /v1/chat/{start,message,end} (escrow bookends, off-chain streaming
# turns) instead of the one-off /v1/chat/completions route.
#
# A SEPARATE process/advert from the one-off supplier on purpose: the chat
# session holds the supplier's single-slot lock for the whole conversation
# (minutes), which would starve one-off traffic if co-hosted.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-qwen35b-chat.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.qwen35b-chat written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# The advert must be posted with --capability-id llm.chat.v1 and a large
# --max-processing-ms (~1800000) so Claim+Submit both land before deliver_by.
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-qwen35b-chat
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-qwen35b-chat
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.qwen35b-chat
required: false
environment:
# Multi-turn chat session capability (mounts /v1/chat/{start,message,end}).
CAPABILITY_KIND: chat-session
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; mirror the one-off compose.
OPENAI_TIMEOUT_MS: "300000"
# Idle end (supplier Submits the transcript): single-slot suppliers must
# free up quickly (the gateway transparently reopens a session on the
# next turn). Mirrors the kimi-chat fleet.
CHAT_IDLE_TIMEOUT_MS: "900000"
CHAT_SETTLE_MODE: ticket
MAX_CHAT_SESSIONS: "8"
PORT: "8080"
# Enable LiveOgmiosProvider so Claim/Submit actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.qwen35b-chat on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-qwen35b-chat-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-qwen35b-chat-mainnet.rule=Host(`mp-suppliers-qwen35b-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-qwen35b-chat-mainnet.middlewares=mp-suppliers-qwen35b-chat-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-qwen35b-chat-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-qwen35b-chat-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-qwen35b-chat-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-qwen35b-chat-mainnet-tls.rule=Host(`mp-suppliers-qwen35b-chat.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-qwen35b-chat-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-qwen35b-chat-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

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@@ -0,0 +1,88 @@
# deploy/mainnet/docker-compose.supplier-qwen35b.yml — Supplier — MAINNET
# (Hetzner Inference / Qwen/Qwen3.6-35B-A3B-FP8 — one-off `llm.text.generate.v1`)
#
# Hetzner-backed supplier. LLM_BACKEND=openai pointed directly at Hetzner's
# hosted inference API (OpenAI-compatible at https://inference.hetzner.com/api).
# No local proxy container — reachable over public HTTPS.
#
# One of 8 Hetzner-backed suppliers (4 models x {one-off, chat-session});
# fleet runbook: docs/HETZNER_SETUP.md.
#
# Pre-flight:
# 1. DNS: mp-suppliers-qwen35b.vector.apexfusion.org → host
# (wildcard *.vector.apexfusion.org already in place via Cloudflare)
# 2. supplier/.env.qwen35b written on host (chmod 600) with at minimum:
# SUPPLIER_PRIV_KEY_HEX, SUPPLIER_ADDRESS, SUPPLIER_PKH,
# SUPPLIER_PUB_KEY_HEX, OPENAI_API_KEY, OGMIOS_URL, NETWORK_ID=1,
# VECTOR_ZERO_TIME_MS, ESCROW_REF_UTXO, ADVERT_REF_UTXO, ADVERT_REF,
# LIVE_CHAIN=1
# 3. Networks already exist (created by the canonical supplier compose):
# docker network create marketplace-mainnet-net # one-shot
# # traefik-net is created by the Traefik project
name: marketplace-mainnet-supplier-qwen35b
services:
supplier:
build:
context: ../..
dockerfile: supplier/Dockerfile
container_name: marketplace-mainnet-supplier-qwen35b
restart: unless-stopped
env_file:
# Self-contained env for this Hetzner-backed variant. Holds this
# supplier's distinct SUPPLIER_PRIV_KEY_HEX (+ derived wallet vars),
# ADVERT_REF, the shared Hetzner OPENAI_API_KEY, and the shared mainnet
# plumbing duplicated in full (NETWORK_ID, OGMIOS_URL, VECTOR_ZERO_TIME_MS,
# ref-script UTxOs, LIVE_CHAIN). No env_file ordering / override magic.
- path: ../../supplier/.env.qwen35b
required: false
environment:
LLM_BACKEND: openai
# No /v1 suffix — supplier/src/openai.ts appends /v1/chat/completions
# (Hetzner serves at https://inference.hetzner.com/api/v1/...).
OPENAI_BASE_URL: https://inference.hetzner.com/api
# Reasoning-style models can be slow; matches the advert's
# max_processing_ms (300000).
OPENAI_TIMEOUT_MS: "300000"
# OPENAI_MAX_TOKENS intentionally unset: no max_tokens forwarded upstream,
# the provider grants context − prompt. Advert cap = model context length.
PORT: "8080"
# Enable LiveOgmiosProvider so submitTx/awaitTx actually broadcast.
LIVE_CHAIN: "1"
# NETWORK_ID and OGMIOS_URL intentionally not pinned here — they MUST
# come from the operator-provided supplier/.env.qwen35b on a mainnet host.
healthcheck:
test: ["CMD-SHELL", "wget -qO- http://localhost:8080/healthz >/dev/null || exit 1"]
interval: 20s
timeout: 5s
retries: 3
start_period: 15s
networks:
- marketplace-mainnet-net
- traefik-net
labels:
- "traefik.enable=true"
- "traefik.docker.network=traefik-net"
- "traefik.http.routers.mp-suppliers-qwen35b-mainnet.entrypoints=web"
- "traefik.http.routers.mp-suppliers-qwen35b-mainnet.rule=Host(`mp-suppliers-qwen35b.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-qwen35b-mainnet.middlewares=mp-suppliers-qwen35b-mainnet-https"
- "traefik.http.middlewares.mp-suppliers-qwen35b-mainnet-https.redirectscheme.scheme=https"
- "traefik.http.middlewares.mp-suppliers-qwen35b-mainnet-https.redirectscheme.permanent=true"
- "traefik.http.routers.mp-suppliers-qwen35b-mainnet-tls.entrypoints=websecure"
- "traefik.http.routers.mp-suppliers-qwen35b-mainnet-tls.rule=Host(`mp-suppliers-qwen35b.vector.apexfusion.org`)"
- "traefik.http.routers.mp-suppliers-qwen35b-mainnet-tls.tls.certresolver=letsencrypt"
- "traefik.http.services.mp-suppliers-qwen35b-mainnet.loadbalancer.server.port=8080"
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
networks:
marketplace-mainnet-net:
external: true
name: marketplace-mainnet-net
traefik-net:
external: true
name: traefik-net

128
docs/HETZNER_SETUP.md Normal file
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# Hetzner Inference Supplier Fleet — Setup Runbook
> **Status:** shipped. Configures 8 mainnet supplier nodes that use **Hetzner
> Inference** (`https://inference.hetzner.com`) as their **compute backend** for
> bonded inference work commissioned on Vector. Config only — no code changes.
---
## 1. What this is
Hetzner Inference is an OpenAI-compatible hosted API. Because the supplier's
upstream client (`supplier/src/openai.ts`) already speaks plain
`POST /v1/chat/completions` with a Bearer token, pointing it at Hetzner is
**pure configuration**: `LLM_BACKEND=openai` + `OPENAI_BASE_URL` + the API key.
This is the same pattern as the DeepSeek-direct and OpenRouter suppliers, and
the direct sibling of `docs/HUGGINGFACE_ROUTER_SETUP.md`.
One supplier per (model × capability) — 4 models, both the one-off
`llm.text.generate.v1` and the multi-turn `llm.chat.v1` capability:
| Supplier name | Model (on-chain + API param, verbatim) | Capability | Advert max_output_tokens |
|---|---|---|---|
| `kimi-code` | `Kimi-K2.7-Code` | `llm.text.generate.v1` | 262144 |
| `kimi-code-chat` | `Kimi-K2.7-Code` | `llm.chat.v1` | 262144 |
| `glm` | `GLM-5.2-NVFP4` | `llm.text.generate.v1` | 512000 |
| `glm-chat` | `GLM-5.2-NVFP4` | `llm.chat.v1` | 512000 |
| `ds-flash-htz` | `DeepSeek-V4-Flash-0731` | `llm.text.generate.v1` | 512000 |
| `ds-flash-htz-chat` | `DeepSeek-V4-Flash-0731` | `llm.chat.v1` | 512000 |
| `qwen35b` | `Qwen/Qwen3.6-35B-A3B-FP8` | `llm.text.generate.v1` | 262144 |
| `qwen35b-chat` | `Qwen/Qwen3.6-35B-A3B-FP8` | `llm.chat.v1` | 262144 |
Shared advert parameters: price **200000 lovelace (0.2 AP3X)** flat per job,
bonds **1000000 lovelace (1 AP3X)** both sides, `max_processing_ms` **300000**
for one-off / **1800000** for chat (the session spans the whole conversation).
`max_output_tokens` is set to the model's context length: no `max_tokens` is
forwarded upstream (`OPENAI_MAX_TOKENS` unset), so the advert value only gates
what buyers may request.
Names follow the brand-by-model convention; `ds-flash-htz` carries a `-htz`
suffix only because `deepseek-flash-*` was already taken by the OpenRouter
fleet serving `deepseek/deepseek-v4-flash`.
## 2. Prerequisites
1. A Hetzner account with Inference access and an API key (usage-based billing
to you as the node operator — the flat 0.2 AP3X job price is a business
choice, not cost-derived). One key is shared by all 8 suppliers; Hetzner
rate limits apply to the aggregate.
2. Eight funded supplier wallets (50 AP3X each recommended; bonds are 1 AP3X
per in-flight job and returned on completion).
3. The usual mainnet supplier deploy prerequisites (`deploy/README.md`); the
wildcard DNS `*.vector.apexfusion.org` already covers the new hosts.
## 3. Verify the backend before spending on-chain
The four model ids come from `GET https://inference.hetzner.com/api/v1/models`
and are sent **verbatim** as the upstream `model` param (the runtime uses
`advert.model`). Before posting adverts, smoke-test each model:
```bash
curl -sS -X POST https://inference.hetzner.com/api/v1/chat/completions \
-H "Authorization: Bearer $HETZNER_KEY" -H "Content-Type: application/json" \
-d '{"model":"GLM-5.2-NVFP4","messages":[{"role":"user","content":"ping"}]}' \
| jq '.choices[0].message.content'
```
`choices[0].message.content` must be a non-empty string with **no `max_tokens`
sent** (matches runtime config) — the supplier throws `openai_malformed`
otherwise and forfeits its 1 AP3X bond per failed job. For chat suppliers also
verify a `tools`/`tool_choice` round-trip. All four models passed both checks
on 2026-08-11.
## 4. Per-supplier bring-up (repeat ×8)
```bash
# 1. wallet — prints privateKeyHex, publicKeyHex, pubKeyHash, address
pnpm --filter @marketplace/supplier tx:gen-keypair --network 1
# fund the printed address (50 AP3X recommended), then:
# 2. env file on the mainnet host
cp supplier/.env.hetzner.example /root/agents-marketplace/supplier/.env.<name>
chmod 600 /root/agents-marketplace/supplier/.env.<name>
# fill in: ALL FOUR wallet vars (PRIV_KEY_HEX, ADDRESS, PKH, PUB_KEY_HEX —
# they are NOT derived at boot; missing derived vars ⇒ 403 wrong_supplier),
# OPENAI_API_KEY, and the ADVERT_* values from the table above.
# 3. advert (one-off shown; chat: --capability-id llm.chat.v1 --max-processing-ms 1800000)
pnpm --filter @marketplace/supplier tx:post-advert \
--capability-id llm.text.generate.v1 \
--model 'GLM-5.2-NVFP4' \
--max-output-tokens 512000 \
--max-processing-ms 300000 \
--price-lovelace 200000 \
--endpoint-url https://mp-suppliers-<name>.vector.apexfusion.org
# paste the printed "<txHash>#0" into ADVERT_REF in the env file
# 4. first start is always manual (CD skips compose projects with no running
# containers); subsequent rollouts ride the mainnet CD pipeline
docker compose -f deploy/mainnet/docker-compose.supplier-<name>.yml up -d
# 5. register the wallet for balance alerts
# add {name, address} to wallet-monitor/wallets.json on the host
```
## 5. Verification
- `curl https://mp-suppliers-<name>.vector.apexfusion.org/healthz` → `{"ok":true}`;
`/capability` shows the right model + pkh.
- Indexer: buyer `GET /v1/indexer/suppliers` lists the new entries with
`advert_status: Active`, `status: free`.
- Gateway `GET /openai/v1/models` includes the four Hetzner model ids.
- Watch `docker logs -f marketplace-mainnet-supplier-<name>` through the first
jobs for `openai_malformed` (reasoning-model content-shape risk).
## 6. Footguns
- `OPENAI_BASE_URL=https://inference.hetzner.com/api` — **no `/v1`**; the
client appends `/v1/chat/completions`.
- Do **not** set `OPENAI_REASONING` — `reasoning:{enabled:false}` is an
OpenRouter-only param.
- The advert `--model` must match the Hetzner id exactly, including the
`Qwen/` prefix on `Qwen/Qwen3.6-35B-A3B-FP8` (slash is fine on-chain;
precedent `moonshotai/kimi-k2.6`).
- `Kimi-K2.7-Code` and `DeepSeek-V4-Flash-0731` auto-join the buyer's PDF pool
(case-insensitive substring allowlist `["kimi","deepseek","gpt"]` in
`buyer/src/pdf/caps.ts`); GLM and Qwen stay out. Deliberate — adjust
`PDF_MODEL_ALLOWLIST`/`PDF_MODEL_DENYLIST` in the buyer env to change it.
- `OPENAI_TIMEOUT_MS` must stay ≤ the advert's `max_processing_ms`.

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# 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=