retire frank-medium: tests, planning and observability ground on frank-primary
The frank-medium retirement tail the 2026-09-26 lucebox cutover left uncommitted: the radiance quadlet tree, its swap/fetch tooling and its seam test are deleted (archive copies live in dankserver/.AGENTTRASH/ 20260926-frank-medium-radiance/ and scripts/.AGENTTRASH/20260926- frank-medium-radiance/), the planner/allowlist/test-changed mappings drop the service, and frank-large's chat template moves to scripts/ (its old home was the retired frank-medium dir). Finished here: - tests/frank_primary_unit.bats: the lucebox quadlet seam (boot persistence, host-network bind, HIP_VISIBLE_DEVICES=0,1, HIP-reserved env-name guard, checkout-mounted entrypoint/healthcheck, first-start patience, deployer payload/port gates). - test-changed.sh: explicit .AGENTTRASH/ case — retirement commits move files to trash, and the wrapper refused those additions with "no focused-test mapping". - observability: the vllm: namespace left with the radiance runtime. Rules keep only llamacpp:* series (prefix-cache reuse, spec-decode, queueing, endpoint-down); the dashboard drops the vLLM KV/latency panels; prometheus.yml documents that frank-primary (lucebox) has no /metrics and therefore no scrape job. llm-fleet.json was left corrupted mid-edit (missing opening brace) and is rewritten from HEAD. Suite: 339 green (was 7 red).
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@@ -1,32 +1,27 @@
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# Alerting and recording rules for the LLM fleet.
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#
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# Two metric namespaces, because the fleet runs two runtimes:
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# One metric namespace: llamacpp:* — frank-small and frank-large, both
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# llama.cpp with --metrics (the family verified from /metrics on 2026-09-16
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# and 2026-09-20). frank-primary (Dankserver, the Lucebox DS4.1 engine since
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# the 2026-09-26 cutover) answers 404 on /metrics, so nothing here selects
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# it; its liveness is covered by the homepage probe, and the documented
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# remedy is a blackbox exporter (not deployed).
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#
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# * llamacpp:* — frank-small (Dankclaw, llama.cpp with --metrics).
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# * vllm:* — frank-medium (Dankserver, vllm-radiance TP=2 since 2026-09-20).
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# Every expression is keyed to a series that EXISTS. Nothing matches on
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# absence: when an endpoint's runtime leaves the fleet, its selectors are
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# deleted rather than left vacuous (the vllm: group went with frank-medium's
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# radiance runtime on 2026-09-26).
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#
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# Every expression is keyed to a series that EXISTS, verified against
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# 192.168.0.235:7770/metrics and 192.168.0.143:7771/metrics on 2026-09-20.
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# Nothing here matches on absence: when frank-medium moved back to vLLM the
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# llamacpp: selectors narrowed to frank-small rather than going vacuous, and
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# the vllm: group below was added beside them, not in place of them.
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# What llamacpp:* can and cannot see:
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#
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# What each namespace can and cannot see:
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#
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# * KV pressure. vLLM exports a fill gauge (vllm:kv_cache_usage_perc) and a
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# preemption counter; llama.cpp exports neither, so its capacity wall is
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# * KV pressure: llama.cpp exports no fill gauge, so the capacity wall is
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# observed as queueing (llamacpp:requests_deferred).
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# * Prefix reuse. Both export a hits/queries pair counted in tokens, but the
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# units are NOT interchangeable: llama.cpp's prompt_tokens_total EXCLUDES
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# cached tokens (its own HELP line says so), so that side must divide by
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# cached + prompt to get a fraction, while vLLM divides hits by queries.
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# The two recording rules below keep that straight, and the collapse alert
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# watches both sides with one threshold.
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# * Speculative decoding. Both export drafts and accepted tokens, so
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# LlmSpecDecodeOff covers both runtimes.
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# * Latency histograms exist only on vLLM (e2e, TTFT, inter-token). No
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# p95 alert is defined for the llama.cpp side because there is nothing to
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# compute one from.
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# * Prefix reuse: counted in tokens, and prompt_tokens_total EXCLUDES
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# cached tokens (its own HELP line says so), so a reuse fraction divides
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# cached by cached + prompt.
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# * Speculative decoding: drafts and accepted tokens are both counters,
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# so LlmSpecDecodeOff watches the pair.
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# * No latency histograms exist, so there is no p95 alert.
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#
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# IMPORTANT: delivery. Since 2026-09-17 a firing alert reaches Frank on
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# Signal: Prometheus pushes to Alertmanager (dankclaw/observability/quadlet/
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@@ -37,32 +32,24 @@ groups:
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- name: llm-fleet
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interval: 30s
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rules:
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# Recording rules so the dashboard and the collapse alert below share one
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# expression. Both namespaces export hits/queries pairs in TOKENS; the
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# rate of the quotient is the reuse rate. Kept as two records because the
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# series names differ and a vacuous joint query is worse than two honest
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# ones.
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# Recording rules so the dashboard and the collapse alert below share
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# one expression. llamacpp's prompt counter EXCLUDES cached tokens, so
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# the reuse fraction is cached / (cached + prompt).
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- record: job:llm_prefix_cache_reuse:rate5m
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expr: |
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rate(llamacpp:prompt_tokens_cached_total[5m])
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/ clamp_min(rate(llamacpp:prompt_tokens_cached_total[5m])
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+ rate(llamacpp:prompt_tokens_total[5m]), 0.001)
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- record: job:llm_vllm_prefix_cache_reuse:rate5m
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expr: |
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rate(vllm:prefix_cache_hits_total[5m])
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/ clamp_min(rate(vllm:prefix_cache_queries_total[5m]), 0.001)
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# Mean accepted draft length (1.0 = the drafter proposes and nothing is
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# taken, so the draft round is pure overhead). Measured 3.0-4.3 on
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# frank-medium at boot with the DFlash2 drafter, 2026-09-20.
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# taken, so the draft round is pure overhead).
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- record: job:llm_spec_accept_length:rate5m
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expr: |
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1 + rate(vllm:spec_decode_num_accepted_tokens_total[5m])
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/ clamp_min(rate(vllm:spec_decode_num_drafts_total[5m]), 0.001)
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1 + rate(llamacpp:spec_decode_num_accepted_tokens_total[5m])
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/ clamp_min(rate(llamacpp:spec_decode_num_drafts_total[5m]), 0.001)
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# The capacity wall on the llama.cpp side, in the only form it exports:
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# work waiting for a slot. Past here the next large request queues.
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# The capacity wall, in the only form llama.cpp exports: work waiting
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# for a slot. Past here the next large request queues.
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- alert: LlmRequestsQueueing
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expr: llamacpp:requests_deferred > 0
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for: 10m
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@@ -75,51 +62,15 @@ groups:
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fleet is genuinely busy or one endpoint is carrying it alone. With
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--parallel 1 a second concurrent request always shows up here.
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# The capacity wall on the vLLM side, in its own two terms: requests the
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# scheduler has not admitted, and requests it admitted and then PREEMPTED
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# (a preemption throws away the KV and re-prefills, so its rate is the
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# cost of running the pool full). frank-medium auto-sizes its pool to
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# 943,581 tokens = 3.59 concurrent full 262,144-token conversations, so
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# saturation is four such conversations, not two.
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- alert: LlmRequestsWaiting
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expr: vllm:num_requests_waiting > 0
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "{{ $labels.job }}: vLLM has not admitted work for 10 minutes"
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description: >-
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The scheduler is holding requests back. Check the reason label on
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vllm:num_requests_waiting_by_reason (capacity = no KV room, defer =
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waiting for a better batch shape) and the preemption counter
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vllm:num_preemptions_total.
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- alert: LlmKvCacheSaturated
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expr: vllm:kv_cache_usage_perc > 0.95
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for: 10m
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labels:
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severity: warning
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annotations:
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summary: "{{ $labels.job }}: KV pool above 95 % for 10 minutes"
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description: >-
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The pool is full, which is where preemption and re-prefill start:
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decode slows before anything errors. The pool is auto-sized by the
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quadlet (no KV_CACHE_MEMORY_MB pin); the boot ledger prints the
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token count — `podman logs frank-medium | grep "GPU KV cache size"`
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— and it was 943,581 tokens on 2026-09-20.
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# The thrash signature measured on 2026-09-16: requests keep arriving but
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# almost none are served from cache, which is what several concurrent
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# 50-80k-token conversations do to this fleet. One threshold, two
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# namespaces, and a traffic floor per side so an idle endpoint cannot
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# fire it on a 0/0.
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# 50-80k-token conversations do to this fleet. One threshold with a
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# traffic floor so an idle endpoint cannot fire it on a 0/0.
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- alert: LlmPrefixCacheCollapse
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expr: >-
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(job:llm_prefix_cache_reuse:rate5m < 0.20
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job:llm_prefix_cache_reuse:rate5m < 0.20
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and rate(llamacpp:prompt_tokens_total[5m])
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+ rate(llamacpp:prompt_tokens_cached_total[5m]) > 0.05)
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or (job:llm_vllm_prefix_cache_reuse:rate5m < 0.20
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and rate(vllm:prefix_cache_queries_total[5m]) > 1)
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+ rate(llamacpp:prompt_tokens_cached_total[5m]) > 0.05
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for: 15m
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labels:
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severity: info
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@@ -132,14 +83,11 @@ groups:
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# The speculative path is the one failure no client can see: the server
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# answers normally, just at half the speed, when the drafter is gone.
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# Drafts and accepts are counters in both runtimes, so a rate that stays
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# at zero while the endpoint is serving tokens means nothing is drafted.
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# Drafts and accepts are counters, so a rate that stays at zero while
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# the endpoint is serving tokens means nothing is drafted.
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- alert: LlmSpecDecodeOff
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expr: >-
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(rate(llamacpp:spec_decode_num_drafts_total[5m]) == 0
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and rate(llamacpp:tokens_predicted_total[5m]) > 0.1)
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or (rate(vllm:spec_decode_num_drafts_total[5m]) == 0
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and rate(vllm:generation_tokens_total[5m]) > 0.1)
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expr: rate(llamacpp:spec_decode_num_drafts_total[5m]) == 0
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and rate(llamacpp:tokens_predicted_total[5m]) > 0.1
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for: 15m
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labels:
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severity: warning
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@@ -147,11 +95,9 @@ groups:
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summary: "{{ $labels.job }}: serving without speculative decoding"
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description: >-
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Tokens are being produced but no draft has been proposed for 15
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minutes. frank-small (llama.cpp) should log "adding speculative
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implementation" at load; frank-medium (vllm-radiance) should be
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counting vllm:spec_decode_num_drafts_total and reporting 3+ mean
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accept length (job:llm_spec_accept_length:rate5m). Either way the
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endpoint is decoding autoregressively.
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minutes. The llama.cpp load log should carry an "adding
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speculative implementation" line; the endpoint is decoding
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autoregressively.
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# The endpoint, not a replica: one process serves each port now, so a
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# restart of the unit is a scrape gap, not a failover.
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@@ -163,10 +109,9 @@ groups:
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annotations:
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summary: "{{ $labels.job }}: scrape target down for 2 minutes"
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description: >-
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Prometheus cannot reach the LLM endpoint. frank-medium is a
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rootless quadlet: `systemctl --user is-active frank-medium` on
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Dankserver, then `podman ps -a --filter name=frank-medium`.
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frank-small is a root unit: `systemctl is-active frank-small` on
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Dankclaw. All three endpoints are scraped: frank-large's CIRU
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llama.cpp build does export the llamacpp:* family (verified
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2026-09-20), so this alert covers the whole fleet.
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Prometheus cannot reach the LLM endpoint. frank-small and
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frank-large are root units on Dankclaw: `systemctl is-active
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frank-small` / `frank-large`. Both scraped endpoints export the
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llamacpp:* family. frank-primary (Dankserver) is not scraped —
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its runtime exports no metrics; check the homepage probe or
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`systemctl --user is-active frank-primary` on Dankserver.
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