- docker-compose.yml: add --reasoning off to qwen-classifier per fast-model-choice.md's own recommendation (ggml-org/llama.cpp#20809 safety net) — missed in the original rollout, caught while writing this up. - docs/coding-cli-setup/qwen-code.md: rewritten to match what's actually deployed (qwen-classifier, partial GPU offload, 65536 ctx, Q4_K_XL) — previously described an unimplemented llama-server-fast/8192-ctx plan. Documents the non-interactive MCP tool allow-list gap found live-testing. - docs/coding-cli-setup/opencode.md: fix stale 65536 example that didn't match its own documented LLAMA_CTX_SIZE/LLAMA_PARALLEL formula (131072). - docs/research/fast-model-choice.md: implementation note recording where the actual rollout diverged from this doc's original recommendations (service name, quant, context size, CPU-first-then-GPU path). - docs/research/omniroute-account-semaphore-timeout.md: new — the hardcoded 30s per-connection semaphore timeout found during the pr-agent investigation, root-caused against OmniRoute's own source, and the maxConcurrent:null + providerSpecificData.timeoutMs fix. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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OmniRoute's per-connection semaphore timeout — hardcoded, not a setting
Date: 2026-09-09
Any OmniRoute connection whose upstream can only handle a small, fixed number of concurrent requests
(this repo's llama-server/qwen-classifier, both effectively single-GPU-slot-limited) can hit a hard
30-second reject once more requests are in flight than the connection's maxConcurrent allows — even
though the request would have succeeded fine if it had just waited its turn. This surfaced first as the
pr-agent/CodersPlacePI 429/504 investigation (see the issue tracker), then again while sizing
qwen-classifier. Recorded here so it doesn't have to be re-diagnosed from scratch next time.
The error
{"error":{"message":"Semaphore timeout after 30000ms for <provider>:<connectionId>","type":"rate_limit_error","code":"rate_limit_exceeded"}}
Root cause (confirmed against OmniRoute's own source, diegosouzapw/OmniRoute)
open-sse/services/accountSemaphore.ts:
const DEFAULT_TIMEOUT_MS = 30_000;
...
function createSemaphoreTimeoutError(semaphoreKey, timeoutMs) {
const error = new Error(`Semaphore timeout after ${timeoutMs}ms for ${semaphoreKey}`);
error.code = "SEMAPHORE_TIMEOUT"; // classified upstream as HTTP 429 rate_limit_exceeded
return error;
}
Called from open-sse/handlers/chatCore.ts:
await acquireAccountSemaphore(accountSemaphoreKey, {
maxConcurrency: accountSemaphoreMaxConcurrency, // = the connection's maxConcurrent
signal: streamController.signal,
// no timeoutMs passed → always falls back to the hardcoded 30_000 default
})
This is not the same thing as OmniRoute's documented quota-share concurrency gate
(open-sse/services/combo/quotaShareConcurrency.ts, key prefix qsconn:), which is deliberately
fail-open per its own doc comment ("a saturated queue or timeout proceeds without a slot rather than
ever rejecting a dispatchable request") — that one only matters for quota-share combos. The account
semaphore above is a different, always-on gate keyed provider:connectionId, has no fail-open path,
and its 30-second timeout is a bare await with nothing passed to override it — not exposed via
/api/resilience, not an env var, not a dashboard toggle, not documented anywhere in
docs/reference/ENVIRONMENT.md. It's a hardcoded constant in vendored code.
Also not the same as requestQueue.maxWaitMs (visible via GET /api/resilience, this deployment
already has it at 86400000) — that one bounds a Bottleneck-managed execution timer that starts only
after dispatch, surfaces as HTTP 504 RATE_LIMIT_EXECUTION_TIMEOUT, and is unrelated to the 429 above.
What actually fixes it
The 30s ceiling itself cannot be raised — no config surface reaches it in the current OmniRoute build. Two real options:
- Bypass the semaphore, let the upstream's own queue absorb concurrency instead.
maxConcurrency == null || maxConcurrency <= 0fully bypassesaccountSemaphore.ts(seeisBypassed()) — no gate, no 30s timer, requests pass straight through to the upstream. This only works if the upstream itself queues gracefully with no reject-timeout of its own — confirmed true for llama.cpp's server (tools/server/server-queue.cpphas no queue-wait timeout; excess requests just wait for a free slot). If you do this, also raise the connection's ownproviderSpecificData.timeoutMs(bounded 1ms–24h,MAX_PROVIDER_SPECIFIC_TIMEOUT_MS) generously — that's the timer that now matters: "did the upstream return response headers in time," which on llama.cpp means the full queue-wait-then-generate time, since llama.cpp sends zero bytes, not even headers, while a request sits queued (confirmed inserver-context.cpp:res->status = 200is only set after the first generated token exists). - Reduce how often more than
maxConcurrentrequests actually stack up — e.g. thepr-agent/Gitea webhook fix (narrowing the subscribed event list so one PR action doesn't fire 3+ near-simultaneous AI calls). Doesn't remove the ceiling, just makes it less likely to be hit.
Applied in this repo: llama-server's OmniRoute connection has maxConcurrent: null and
providerSpecificData.timeoutMs: 1200000 (20 min — matches worst-case 2-slots-busy + queued + own
generation time). qwen-classifier uses a much shorter timeoutMs: 120000 since it isn't
GPU-contended the same way — see docs/coding-cli-setup/qwen-code.md.
Sources
- diegosouzapw/OmniRoute —
open-sse/services/accountSemaphore.ts,open-sse/handlers/chatCore.ts,open-sse/services/combo/quotaShareConcurrency.ts,open-sse/services/rateLimitManager.ts,docs/architecture/RESILIENCE_GUIDE.md,docs/reference/ENVIRONMENT.md - ggml-org/llama.cpp —
tools/server/server-queue.cpp,tools/server/server-context.cpp src/shared/validation/providerSpecificData.ts(OmniRoute) —MAX_PROVIDER_SPECIFIC_TIMEOUT_MSbound