fv-ml1: complete the cutover — rename, renumber, DNS, and the LiteLLM repoint

The box is physically at Fountain Valley, renamed, renumbered onto 10.251/16,
and serving inference again. This lands the repo half of that.

Host: hostname ana-ml2 -> fv-ml1, pinned to 10.251.50.54 by a dnsmasq
reservation so the address the runbook, DNS and LiteLLM all assume is the
address it actually has. Its headscale node is renamed too.

The sweep ran from scripts/fv-ml1-rename-sweep.sh, whose allowlist is the
reason this diff touches current-state files and not the record. Dated
persistent-memory entries, archival-memory and incident notes still say
ana-ml2 in 31 and 62 places respectively, because that is what the box was
when those things happened. Rewriting them would make the history lie.

LiteLLM was the load-bearing piece and needed more than the api_base sed the
runbook describes. Twenty api_base entries repointed, but a grep-and-verify
pass also caught a LIVE pass_through_endpoints target for the scalar-judge
reward route still on the old address -- an api_base-only substitution would
have left it dead. Four prose references describing current state were
repointed as well; one historical note recording where a hand-test was run
is deliberately left pointing at 10.250.50.54.

Two facts in the server tables were wrong and are corrected here. The site is
Fountain Valley, not Anaheim. And the box has FOUR RTX PRO 6000 Blackwell
Max-Q, not two -- verified by nvidia-smi -L and independently by PCI
enumeration of four GB202GL devices. That is 391 GB of VRAM rather than 196,
which changes what fits on it.

DNS: fv-ml1, fv-ml1-bmc and fv-gw added under the fv site via the piggyback
approach, scriberr re-homed, and the ana-ml2 records removed. Applied to all
three resolvers. The BMC record carries a warning that its 802.1q VLAN tag
must stay disabled -- it shipped tagging VLAN 250 into an untagged port,
which made it invisible to every network-side diagnostic and is the reason
it appeared dead through several cable changes.

Verified end to end: summarizer and sec both answer through the Anaheim
gateway across the mesh to FV seats on different ports.
This commit is contained in:
vh
2026-09-12 22:00:50 -07:00
parent fde7834635
commit 91bda3c480
31 changed files with 115 additions and 112 deletions
+29 -28
View File
@@ -1,5 +1,5 @@
# LiteLLM gateway config — fronts the vLLM services on ana-ml2
# (10.250.50.54) and logs every request + response so they're
# (10.251.50.54) and logs every request + response so they're
# inspectable in the Logs UI at http://10.250.50.70:4000/ui.
#
# Deploys to /opt/docker/conf/litellm/config.yaml (mounted read-only
@@ -22,7 +22,7 @@ model_list:
# ⚠ ALIAS COLLISION — SEVERAL NAMES, ONE SET OF WEIGHTS
#
# As of 2026-08-23 these SEVEN aliases all resolve to the same backend
# (qwen3.8-27b-uncensored @ 10.250.50.54:8015):
# (qwen3.8-27b-uncensored @ 10.251.50.54:8015):
#
# chat-judge classifier gen image-judge
# qwen-image-bench summarizer summarizer-large
@@ -59,7 +59,7 @@ model_list:
# - model_name: granite-4.1-8b
# litellm_params:
# model: hosted_vllm/granite-4.1-8b
# api_base: http://10.250.50.54:8004/v1
# api_base: http://10.251.50.54:8004/v1
# api_key: os.environ/VLLM_API_KEY
# temperature: 0
# model_info:
@@ -71,7 +71,7 @@ model_list:
- model_name: summarizer
litellm_params:
model: hosted_vllm/qwen3.8-27b-uncensored
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
temperature: 0
extra_body:
@@ -85,7 +85,7 @@ model_list:
- model_name: classifier
litellm_params:
model: hosted_vllm/qwen3.8-27b-uncensored
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
temperature: 0
extra_body:
@@ -100,7 +100,7 @@ model_list:
- model_name: summarizer-large
litellm_params:
model: hosted_vllm/qwen3.8-27b-uncensored
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
presence_penalty: 1.5
temperature: 0.7
@@ -123,7 +123,7 @@ model_list:
- model_name: qwen-image-bench
litellm_params:
model: hosted_vllm/qwen3.8-27b-uncensored
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
temperature: 0
top_p: 1.0
@@ -137,7 +137,7 @@ model_list:
- model_name: image-judge
litellm_params:
model: hosted_vllm/qwen3.8-27b-uncensored
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
temperature: 0
top_p: 1.0
@@ -182,7 +182,7 @@ model_list:
- model_name: gen
litellm_params:
model: hosted_vllm/qwen3.8-27b-uncensored
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
presence_penalty: 1.5
temperature: 0.7
@@ -200,7 +200,7 @@ model_list:
# Distinct served-name so a thinking-off `gen` request can't mutate this deployment's
# enable_thinking (shared-config-mutation footgun). Same backend :8015, different model id.
model: hosted_vllm/qwen3.8-27b-uncensored-thinking
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
# CANONICAL Qwen3.8 THINKING sampling set (Qwen + unsloth "Best Practices"
# §1, identical in both): temperature=1.0, top_p=0.95, top_k=20,
@@ -248,7 +248,7 @@ model_list:
- model_name: char-rp
litellm_params:
model: hosted_vllm/char-rp
api_base: http://10.250.50.54:8016/v1
api_base: http://10.251.50.54:8016/v1
api_key: os.environ/VLLM_API_KEY
temperature: 1.1
top_p: 0.95
@@ -274,7 +274,7 @@ model_list:
- model_name: char-rp-reasoning
litellm_params:
model: hosted_vllm/char-rp-thinking
api_base: http://10.250.50.54:8016/v1
api_base: http://10.251.50.54:8016/v1
api_key: os.environ/VLLM_API_KEY
temperature: 1.1
top_p: 0.95
@@ -310,8 +310,8 @@ model_list:
# character card both sit at ~0%. Fable-Fusion is Heretic-abliterated.
#
# ROLLBACK (restores Dark-Scarlett):
# ssh infra-ops@10.250.50.54 'cd /opt/docker/compose/fablefusion-charrp-probe && sudo docker compose down'
# ssh infra-ops@10.250.50.54 'cd /opt/docker/compose/darkscarlett-charrp-reasoning && sudo docker compose up -d'
# ssh infra-ops@10.251.50.54 'cd /opt/docker/compose/fablefusion-charrp-probe && sudo docker compose down'
# ssh infra-ops@10.251.50.54 'cd /opt/docker/compose/darkscarlett-charrp-reasoning && sudo docker compose up -d'
# then revert this block to api_base :8018 / model hosted_vllm/char-rp-reasoning
# and restart litellm (~52s).
#
@@ -337,7 +337,7 @@ model_list:
- model_name: sec
litellm_params:
model: hosted_vllm/mog-sec-27b
api_base: http://10.250.50.54:8019/v1
api_base: http://10.251.50.54:8019/v1
api_key: os.environ/VLLM_API_KEY
temperature: 0.7
top_p: 0.8
@@ -356,7 +356,7 @@ model_list:
- model_name: sec-reasoning
litellm_params:
model: hosted_vllm/mog-sec-27b-thinking
api_base: http://10.250.50.54:8019/v1
api_base: http://10.251.50.54:8019/v1
api_key: os.environ/VLLM_API_KEY
temperature: 1.0
top_p: 0.95
@@ -393,7 +393,7 @@ model_list:
- model_name: qwen3-embedding
litellm_params:
model: hosted_vllm/Qwen/Qwen3-Embedding-0.6B
api_base: http://10.250.50.54:8001/v1
api_base: http://10.251.50.54:8001/v1
api_key: os.environ/VLLM_API_KEY
model_info:
mode: embedding
@@ -423,7 +423,7 @@ model_list:
- model_name: chat-judge
litellm_params:
model: hosted_vllm/qwen3.8-27b-uncensored
api_base: http://10.250.50.54:8015/v1
api_base: http://10.251.50.54:8015/v1
api_key: os.environ/VLLM_API_KEY
temperature: 0
top_p: 1.0
@@ -438,7 +438,7 @@ model_list:
- model_name: reranker
litellm_params:
model: hosted_vllm/BAAI/bge-reranker-v2-m3
api_base: http://10.250.50.54:8013/v1
api_base: http://10.251.50.54:8013/v1
api_key: os.environ/VLLM_API_KEY
model_info:
mode: rerank
@@ -456,7 +456,7 @@ model_list:
- model_name: coder-fast
litellm_params:
model: hosted_vllm/qwen2.5-coder-1.5b
api_base: http://10.250.50.54:8020/v1
api_base: http://10.251.50.54:8020/v1
api_key: os.environ/VLLM_API_KEY
model_info:
mode: completion
@@ -681,7 +681,7 @@ model_list:
- model_name: erp-tune-v2
litellm_params:
model: hosted_vllm/erp-tune-v2
api_base: http://10.250.50.54:8098/v1
api_base: http://10.251.50.54:8098/v1
api_key: os.environ/VLLM_API_KEY
# gemma4-26b-a4b-it-base -> the UNMODIFIED upstream instruct release, bf16
@@ -743,7 +743,7 @@ model_list:
- model_name: gemma4-26b-a4b-it-base
litellm_params:
model: hosted_vllm/gemma4-26b-a4b-it-base
api_base: http://10.250.50.54:8099/v1
api_base: http://10.251.50.54:8099/v1
api_key: os.environ/VLLM_API_KEY
# merged-run03 -> the in-house ERP/RP SFT, RUN 3, MERGED bf16 (:8099, vLLM, ana-ml2
@@ -848,7 +848,7 @@ model_list:
# - model_name: merged-run03
# litellm_params:
# model: hosted_vllm/merged-run03
# api_base: http://10.250.50.54:8099/v1
# api_base: http://10.251.50.54:8099/v1
# api_key: os.environ/VLLM_API_KEY
# trial -> ERP/RP SFT RUN 7, NVFP4A16 (weight-only) quant of the merged LoRA, served on
@@ -879,9 +879,10 @@ model_list:
#
# THIS GATEWAY IS THE SHARED-KEY SURFACE: `all-agents-local` reaches every model here,
# in every session and project. Removing this alias does not remove the operator's
# access -- the direct endpoint http://10.250.50.54:8021/v1 is unaffected.
# access -- the direct endpoint http://10.251.50.54:8021/v1 is unaffected.
#
# Same-site: seat and gateway are both at Anaheim (local hop, no mesh crossing).
# CROSS-SITE since 2026-09-12: gateway on ana-docker (Anaheim), seat on fv-ml1
# (Fountain Valley) -- metro hop over the headscale mesh, ~6ms.
# char-rp-fast — the MeroMero A4B MoE, on ana-ml2 GPU1 (:8021). Operator, 2026-09-10:
# "replace that a4b moe over pfish-6 -- remove the pfish-6 alias and create an alias
@@ -919,7 +920,7 @@ model_list:
- model_name: char-rp-fast
litellm_params:
model: hosted_vllm/G4-MeroMero-26B-A4B-it-uncensored-heretic-NVFP4A16
api_base: http://10.250.50.54:8021/v1
api_base: http://10.251.50.54:8021/v1
api_key: os.environ/VLLM_API_KEY
extra_body:
min_p: 0.05
@@ -950,14 +951,14 @@ general_settings:
maximum_spend_logs_retention_period: "7d"
maximum_spend_logs_retention_interval: "1d"
# scalar-judge → Skywork-Reward-V2 (scalar reward model; vLLM pooling on
# ana-ml2:8003). LiteLLM has no reward/pooling MODE, so this is a passthrough,
# fv-ml1:8003). LiteLLM has no reward/pooling MODE, so this is a passthrough,
# not a model_list alias. Gateway-key-gated. Consumers POST the reward body to
# /scalar-judge/<route> (e.g. /pooling or /classify), forwarded to :8003.
# SWAP-SENSITIVE: a different reward model shifts the score scale, so consumers
# must recalibrate thresholds after a backing swap.
pass_through_endpoints:
- path: "/scalar-judge"
target: "http://10.250.50.54:8003"
target: "http://10.251.50.54:8003"
forward_headers: true
include_subpath: true