# 4.1 — GPU slot semaphore for `reasoning` (GREEN) Phase: 4 — Limits and budgets Stage: GREEN Depends on: [4.3](4.3-problem-json-errors.md), [2.9](2.9-canonical-request-model.md) The `reasoning` upstream is 2 replicas x `--max-num-seqs=4` = 8 concurrent sequence slots cluster-wide. That 8 is a vLLM concurrency setting, not a GPU count — worker-1 has 4 physical GPUs and the two numbers are unrelated. Exceeding 8 does not fail fast; it silently queues inside vLLM where the gateway has no visibility and no ability to cancel. The gateway serves two permanent dialects over the same predictors: `/v1/*` is OpenAI-compatible and `/llm/*` is Anthropic Messages. There is ONE controller, keyed by upstream, sitting below both. - [ ] Concurrent in-flight requests to `reasoning` are capped at a configured limit strictly below 8, leaving operator headroom - [ ] The cap, the queue depth, and the queue wait timeout are all explicit in configuration with no silent defaults - [ ] Requests over the cap wait in a bounded queue rather than being rejected immediately - [ ] Once the queue is full, further requests are rejected with a retryable status and a `Retry-After`, as an `application/problem+json` document - [ ] A slot is released when the response completes, when the upstream errors, and when the client disconnects mid-stream — no path leaks a slot - [ ] A client that disconnects while still queued never reaches the upstream and never consumes a slot - [ ] The cap applies only to `reasoning`; other upstreams are unaffected and are not blocked behind its queue - [ ] The controller is keyed by UPSTREAM, never by route, path prefix or dialect — `reasoning-predictor.llm-serving:80` has exactly one cap and one queue - [ ] A request arriving on `/v1/chat/completions` and one arriving on `/llm/v1/messages` contend for the same slots and the same queue, admitted in arrival order - [ ] Total in-flight requests against `reasoning` never exceed the configured cap regardless of which surface they arrived through, including when both surfaces are saturated at once - [ ] Per-dialect semaphores are explicitly wrong and must not exist: the 8 sequence slots are physical, so two independent gates would each believe they were within budget while together exceeding it - [ ] The controller reads the dialect-neutral canonical request and has no knowledge of which surface produced it; adding a third dialect requires no change here - [ ] Slot occupancy and queue depth are reported per upstream, and requests are attributable to a surface for logging only, never for admission - [ ] Rejection at a full queue renders per surface — `application/problem+json` on `/v1`, the Anthropic error shape on `/llm` — from one shared decision ## Verify ```bash # Fire 40 concurrent chat requests at a stub reasoning upstream that holds each for 2s, # with cap=6 and queue=8 configured. seq 40 | xargs -P40 -I{} curl -s -o /dev/null -w '%{http_code}\n' \ -X POST localhost:8080/v1/chat/completions \ -H 'content-type: application/json' -d '{"model":"reasoning","messages":[]}' | sort | uniq -c # expected: a mix of 200 and 503; zero 500s # expected: the stub logged at most 6 simultaneous in-flight requests, never 7 grep -c 'max_concurrent=7' /tmp/stub-reasoning.log # expected: 0 curl -s -D - -o /dev/null -X POST localhost:8080/v1/chat/completions \ -H 'content-type: application/json' -d '{"model":"reasoning","messages":[]}' | grep -i retry-after # expected: Retry-After present on the rejected request # Same cap=6 stub, but split the load across both dialects: 20 on /v1 and 20 on /llm. seq 20 | xargs -P20 -I{} curl -s -o /dev/null -X POST localhost:8080/v1/chat/completions \ -H 'content-type: application/json' -d '{"model":"reasoning","messages":[]}' & seq 20 | xargs -P20 -I{} curl -s -o /dev/null -X POST localhost:8080/llm/v1/messages \ -H 'content-type: application/json' \ -d '{"model":"reasoning","max_tokens":16,"messages":[{"role":"user","content":"hi"}]}' & wait grep -c 'max_concurrent=7' /tmp/stub-reasoning.log # expected: 0 — the two surfaces share one cap, they do not get 6 each ```