reasoning keeps its 2 GPUs untouched. verifier's freed GPU goes to a second ornith replica instead of a standalone qwen-only pod -- both replicas load ornith:35b + qwen2.5:3b-instruct, k8s Service load-balances across them, so 2 concurrent implementer-style calls get independent instances.
Frees verifier's GPU from an underused vLLM PRM deployment. qwen2.5:3b-instruct moves off ornith-predictor's shared pod onto its own dedicated GPU (grm.yaml), so verification/judge traffic stops contending with ornith:35b's agent traffic. /v1/qwen/chat/completions now points at grm-predictor; path unchanged.
Kong key-auth rejected the Authorization: Bearer header every OpenAI-SDK-compatible client sends (verified: raw apikey header works, Bearer doesn't), so it's commented out and stripped from every llm-routes.yaml annotation until there's a Bearer-compatible fix. agent-pod now clones and builds the agent-manager fork from source at container start (no prebuilt binary shipped -- wrong arch and over ConfigMap's size cap) and ships coordinator.js alongside hub.js, so multiple repos can run the pipeline concurrently in one pod via kubectl exec. hub.js keeps its existing role as the container's foreground process, unchanged.
llm-serving-default-deny admits port 8080 only from pods carrying
llm-client=true. Kong lacked it, so every route that actually contacts an
upstream timed out. /v1/models masked the problem: request-termination answers
inside Kong and never touches an upstream, so it returned 200 throughout.
Opting in via podLabels rather than relaxing the policy — it is a compensating
control, not hygiene, since vLLM v0.11.0 is frozen on Volta and will not receive
patches for several remote/unauthenticated advisories.
podLabels land only in the pod template, not spec.selector.matchLabels, so this
is not an immutable-field change.
Kong matches routes on host/path/method/header, never on the request body, so a
single /v1/chat/completions dispatching on body.model is not expressible in Kong
OSS (ai-proxy-advanced, which does multi-target model routing, is Enterprise).
Model therefore goes in the path:
GET /v1/models static list (request-termination)
POST /v1/reasoning/chat/completions reasoning-predictor (vLLM)
POST /v1/ornith/chat/completions ornith-predictor (Ollama)
POST /v1/qwen/chat/completions ornith-predictor (Ollama, same pod)
POST /v1/embeddings embeddings-predictor (TEI)
POST /v1/rerank reranker-predictor (TEI)
POST /v1/score verifier-predictor (vLLM pooling)
- each chat route force-overwrites body.model via request-transformer add+replace:
ornith:35b and qwen2.5:3b-instruct share one Ollama pod, so without this a
client hitting /v1/qwen with "model":"ornith:35b" would silently get the 35B
- routes live in ns llm-serving, not api: an Ingress can only reference a Service
in its own namespace, and KIC watches all namespaces
- embeddings and score need no rewrite (TEI/vLLM already serve the canonical
paths); rerank does, since /v1/rerank 404s and only /rerank exists
- read/write timeouts 1h: Kong defaults to 60s, which a 32B model on Volta
exceeds mid-generation and returns 504
- nginx_proxy_proxy_buffering=off: buffered responses lump or stall SSE, and both
hops (nginx Ingress and Kong) must be unbuffered or the buffered one wins
- no auth for now, per decision; api.riotpiao.com is reachable through nginx, so
GPU time is currently unauthenticated
Story Crater Bot