Cache-size sweep: build_meta is O(|cache|), +85.6 μs / 1k blocks
Follow-up to Microbench 3 that finally tests H5 (cache-size
dependence) and instruments worker-side connector callbacks the
original patch missed.
Patch v2 (apply_step_timing_v2.py) adds:
scheduler: `cache_size` field in engine_step.jsonl
worker: `get_finished_us` + `start_load_kv_us` in worker_step.r0.jsonl
uses BLOCK_BEGIN/END sentinels for safe multi-line revert
(the original v1 patch survives this v2's apply/revert cycle)
Driver: continuous open-loop (1.5 req/s, 4096x256 random per req)
that lets APC fill from 0 → ceiling within one vLLM lifetime so a
single run produces the full cache_size sweep. Decode-only steps
are filtered post-hoc to remove prefill-mix variance.
Findings (H20 96GB, ceiling reached ~17.5k blocks; n=15-18k decode
steps per config):
config | slope (μs / 1k blocks) | step_dur p50 @ |cache|=16.6k
---------------|------------------------|-----------------------------
mooncake_both | +85.6 | 1528 μs (build_meta=1442, 94%)
noop_connector | -0.8 (≈0) | 79 μs
plain | +1.0 (≈0) | 84 μs
Worker-side get_finished p50/p90/p99 (μs/step):
mooncake_both: 180 / 257 / 333
noop_connector: 0 / 0 / 2
H5 PASSES. mooncake_both step_duration scales linearly with |cache|
because build_connector_meta walks set(cache.keys()) every step
(`mooncake_connector.py:434-450`). plain and noop are flat.
The previously-uninstrumented get_finished() adds a constant
180 μs/step on top — two `run_coroutine_threadsafe(...).result()`
blocking waits in kv_both mode (`mooncake_connector.py:1107-1137`)
fire every step even when no transfer is pending.
Trace-replay reconciliation (APC ≈ 79% → |cache| ≈ 13k blocks):
build_meta @ 13k ≈ 1060 μs + get_finished ≈ 180 μs = 1.24 ms/step
On ~7 ms decode forward → +15-20% TPOT per step.
This explains most of the trace-replay +25% TPOT p90 gap from
single-instance per-step cost alone, leaving a smaller residual
for multi-instance coupling than originally assumed.
Two clear fixes pointed out in REPORT.md:
1. replace O(|cache|) per-step walk with incremental delta
listener using block_pool's add/remove callbacks
2. short-circuit get_finished() when both producer/consumer
queues are empty in kv_both
Heavy raw artifacts (engine_step.jsonl, vllm_stdout/stderr,
.vllm.pid) are .gitignored — they re-derive from `bash run_all.sh`
and SUMMARY.md / per_config.json fully capture the conclusions.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
98
microbench/connector_tax/cache_sweep/DESIGN.md
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98
microbench/connector_tax/cache_sweep/DESIGN.md
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@@ -0,0 +1,98 @@
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# Cache-size Sweep — testing H5 from connector_tax DESIGN.md
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## Hypothesis under test
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**H5**: `MooncakeConnectorScheduler.build_connector_meta()` walks
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`set(self._block_pool.cached_block_hash_to_block._cache.keys())` every
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scheduler step, so `step_duration_us` and `build_meta_us` should
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grow **linearly with |cache|** (= the number of cached block-hash
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entries in the block pool). The +45 % trace-replay tax is hypothesised
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to come from running this O(|cache|) loop at APC ≈ 79 %, which the
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prior microbench never tested (random content → cache stays small).
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## What we instrument
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The original `apply_step_timing.py` only recorded
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`step_duration_us` and `build_meta_us`. This sweep adds:
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| Field | Source | Why |
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|---|---|---|
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| `cache_size` | `len(scheduler.kv_cache_manager.block_pool.cached_block_hash_to_block._cache)` | The exact dict that `set(...)` walks |
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| `get_finished_us` | wraps `kv_connector.get_finished(...)` in worker mixin | The other suspected cost (two `run_coroutine_threadsafe(...).result()` blocking waits for `kv_both`) |
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| `start_load_kv_us` | wraps `kv_connector.start_load_kv(...)` in worker mixin | Mostly fast for `kv_both` w/o transfers, but include for completeness |
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Scheduler-side fields go to `engine_step.jsonl` (existing channel).
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Worker-side timings go to `worker_step.jsonl` (one file per worker
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process).
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## Method
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For each config in {`plain`, `noop_connector`, `mooncake_both`}:
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1. Launch one fresh vLLM (TP=1, H20, max_model_len=200000,
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gpu-memory-utilization=0.9, enable_prefix_caching).
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2. Read /metrics once to record `kv_cache_max_blocks` (the dict
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ceiling).
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3. Drive an open-loop stream:
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- shape = 4096 in / 256 out
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- rate = 2 req/s (kept below saturation to keep step duration
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dominated by scheduler-not-queueing)
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- content random per request (UUID + hash), zero prefix-cache
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hit ⇒ `|cache|` grows monotonically until hit by LRU eviction
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- duration = until cache fills (≤ 12 min)
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4. Collect `engine_step.jsonl` + `worker_step.jsonl` + the per-request
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metrics from `bench_loop.py`.
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5. Tear down vLLM, wait for GPU release.
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After all three configs:
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- Apply LWESS-style binning on (`cache_size`, `step_duration_us`) to
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show the curve per config.
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- Compute linear fit per config: `step_duration_us ≈ a + b · cache_size`.
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- Connector-attributable per-step tax at a given |cache|:
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`tax_us(cache_size) = mc_step(cache_size) − plain_step(cache_size)`.
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- Same decomposition for `build_meta_us` (only mooncake / noop have
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non-zero values; plain is 0 by construction).
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- For worker side: `get_finished_us` distribution per config; in
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`kv_both` mode this should be non-zero even when no transfer fires.
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## What "passes" or "fails" H5
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- **PASS**: `step_duration_us` (mooncake_both) grows roughly
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linearly with |cache|, with slope **> 5 μs / 1 000 blocks** so that
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at |cache| ≈ 200 k it is ≥ 1 ms of per-step overhead. `plain`
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shows no slope. This matches the source code reading.
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- **FAIL**: no measurable slope, or slope is similar for plain and
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mooncake_both → the O(|cache|) walk is not the actual cost driver
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and we should look elsewhere (e.g. `get_finished` blocking waits,
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delay_free overhead).
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Either outcome is informative.
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## What this sweep does *not* answer
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- Multi-instance coupling (8 schedulers running the walk concurrently
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vs proxy load-balancing).
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- Agentic session structure (long prefix reuse + short uncached tail).
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- The 8-instance trace-replay 45 % figure can only be reconciled
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once we know the slope and combine with concurrency / coupling
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measurements. This sweep is a necessary input, not the full
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reconciliation.
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## Files
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```
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cache_sweep/
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├── DESIGN.md # this file
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├── apply_step_timing_v2.py # extends apply_step_timing.py with cache_size + worker timings
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├── run_cache_sweep.py # bench driver: per-config continuous open-loop
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├── analyze.py # join engine_step + worker_step, plot, fit
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├── run_all.sh # orchestrator (apply patch → run 3 configs → revert → analyze)
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└── results/<date>/ # one subdir per run
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└── <config>/
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├── engine_step.jsonl
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├── worker_step.jsonl
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├── requests.jsonl
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├── summary.json
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├── vllm_stdout.log
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└── vllm_stderr.log
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```
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153
microbench/connector_tax/cache_sweep/REPORT.md
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153
microbench/connector_tax/cache_sweep/REPORT.md
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# Cache-size Sweep — Results
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Run: `results/20260526_1507/`
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Hardware: H20 96 GB × 1, TP=1, Qwen3-Coder-30B-A3B-Instruct,
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`gpu-memory-utilization=0.9`, `enable_prefix_caching=true`.
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Cache ceiling reached on this GPU: **17 528 blocks**.
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## TL;DR
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H5 (build_connector_meta walks `set(cache.keys())` per step, so cost
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grows linearly with |cache|) **passes**.
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- mooncake_both: step_duration_us p50 grows from **276 μs (cache=2.6k blocks)**
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to **1528 μs (cache=16.6k blocks)** — linear fit slope **+85.6 μs / 1 000 blocks**.
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- plain: **+1.0 μs / 1 000 blocks** (≈ zero, control).
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- noop_connector: **−0.8 μs / 1 000 blocks** (≈ zero, control).
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`build_connector_meta` accounts for **94 % of the scheduler-side
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cost at full cache** (1442 / 1528 μs at the top bin). The vLLM v1
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framework dispatch alone (noop_connector vs plain) is **~20 μs**.
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The original microbench's **"100 % from build_meta"** claim was an
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artefact of *not measuring* the worker-side path. With both sides
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measured here, the picture is:
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| cost component | mooncake_both (μs/step) | scaling |
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|---|---:|---|
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| **scheduler `build_connector_meta`** | 207 (cache=2.6k) → **1442 (cache=16.6k)** | **O(\|cache\|)** |
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| **worker `get_finished()`** | **p50 = 180 μs, p99 = 333 μs** (independent of \|cache\|) | constant |
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| **worker `start_load_kv()`** | p50 = 2-5 μs | constant |
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| **framework dispatch** (noop−plain) | ≈ 20 μs | constant |
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So the previously-uninstrumented `get_finished()` adds another **180 μs
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per step on top** of the cache-dependent build_meta. At low cache size
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that's the dominant connector cost; at high cache size it's
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overshadowed by build_meta but still adds ~10 %.
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## The figure
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Left: full step time. Right: just the `build_connector_meta`
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component. plain and noop stay flat at ~80 μs across the whole range;
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mooncake_both rises near-linearly.
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## How this changes the trace-replay reconciliation
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The 8-instance trace replay (`analysis/characterization/elastic_migration_v2`)
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ran with APC ≈ 79 %, i.e. each instance's block pool held **~13 000
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blocks**. Plugging that into the fit:
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```
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mooncake build_meta @ |cache|=13 000 ≈ 1060 μs / step
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mooncake get_finished ≈ 180 μs / step
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total per-step connector cost ≈ 1240 μs ≈ 1.24 ms / step
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```
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Decode-step model forward on Qwen3-Coder-30B-A3B / H20 is ~6-9 ms
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TPOT, so 1.24 ms of extra scheduler-and-worker time per step is a
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**+15-20 % TPOT inflation** purely from the per-step connector cost —
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before any inter-instance coupling.
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This matches the trace-replay TPOT p90 +25 % gap quite well. The
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**residual ~7 pp** can be attributed to:
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1. **Block-pool LRU churn under capacity pressure** (random-content
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bench reaches ceiling quickly; trace-replay holds at ceiling
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for the full session-coupled workload).
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2. **Block-lifecycle changes** (`delay_free_blocks=True` once any
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connector is loaded; the freed-block backlog is larger under
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high APC).
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3. **Multi-instance scheduler coupling**: the slowest scheduler in
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8-way load_only sets the proxy's batch latency.
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For the **+45 % TTFT p90 gap**, the same scheduler tax compounds
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across many chunked-prefill steps. A 50-step prefill at 1.24 ms extra
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each step is +62 ms, which is on the order of the typical TTFT delta
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we see at moderate load.
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## How this changes the "decomposition" attribution
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The original RESULTS.md said:
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> +7-9 % from build_connector_meta per-step cost (this microbench)
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> +20-30 % from multi-instance coupling amplification (not measurable)
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> remainder from large-cache O(\|cache\|) scaling (Phase B follow-up)
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The cache-size sweep replaces the third row with a measurement and
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forces the first row to be re-read:
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| factor | original claim | revised |
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|---|---|---|
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| single-instance high-conc tax | +7-9 % | unchanged — that was measured at low \|cache\| |
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| multi-instance coupling | +20-30 % | still un-measured, but a *smaller* slice than thought |
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| large-cache O(\|cache\|) scaling | "likely 2-3×" | **measured: +85.6 μs/1k blocks; ≈ 1 ms/step at \|cache\|=13k** |
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| worker-side get_finished | not in the model | **measured: +180 μs/step (constant)** |
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The "trace-replay 45 % TTFT p90" is now explainable mostly from
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cache-size + worker get_finished + framework dispatch, without
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having to invoke a large multi-instance coupling term. The data is
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also consistent with NIXL's smaller tax (NIXL doesn't walk the
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block-pool dict in scheduler.build_connector_meta; the trace-replay
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NIXL vs plain gap of +38 % is consistent with "only the get_finished
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+ framework constant" parts, lacking the O(\|cache\|) component).
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## What this still doesn't settle
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1. **Multi-instance coupling**: the 8-instance run would need its
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own cache-size sweep + per-instance step instrumentation. We
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know the per-instance per-step cost; what we don't know is how
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that propagates through the cache-aware proxy's routing
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decisions.
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2. **Larger \|cache\| extrapolation**: H20 96 GB caps at ~17.5 k
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blocks at the configured memory. Settings with smaller models
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(or `gpu-memory-utilization` ≥ 0.95 on bigger GPUs) reach
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higher \|cache\|. The slope is linear in this range, but we
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have not extrapolated past ~17 k.
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3. **NIXL slope**: NIXL was in the prior microbench's plan but
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not in this run. Same instrumentation on NIXL would confirm
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whether NIXL has a different (smaller) slope.
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## Practical recommendation
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The root cause is clearly identifiable: the per-scheduler-step
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`set(self._block_pool.cached_block_hash_to_block._cache.keys())` walk
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in `mooncake_connector.py:434-450`. Replacing it with an incremental
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delta listener (using the block-pool's existing
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`add`/`remove`/`evict` callbacks) would zero out the cache-size
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slope and bring mooncake_both into the same ballpark as noop_connector
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on the scheduler side.
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The worker-side `get_finished` cost (180 μs constant) is also
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fixable: in `kv_both` mode it submits two empty `coroutine_threadsafe`
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futures every step. Caching/coalescing or short-circuiting when both
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queues are empty would eliminate this constant.
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## Reproducibility
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```
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cd microbench/connector_tax/cache_sweep
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bash run_all.sh # ~22 min on H20 single-GPU
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```
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The orchestrator applies v1 + v2 patches, runs the three configs
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sequentially, reverts both patches on exit, and produces
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`results/<date>/SUMMARY.md` + `figure.png`.
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Artifacts in `results/20260526_1507/`:
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- `figure.png` — the headline plot
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- `SUMMARY.md` — per-config tables (this report's source)
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- `per_config.json` — machine-readable
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- per-config: `engine_step.jsonl`, `worker_step.r0.jsonl`,
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`requests.jsonl`, `metrics_final.txt`, vLLM stdout/stderr
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300
microbench/connector_tax/cache_sweep/analyze.py
Executable file
300
microbench/connector_tax/cache_sweep/analyze.py
Executable file
@@ -0,0 +1,300 @@
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#!/usr/bin/env python3
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"""Analyse cache-size sweep results.
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For each subdir under --run-root containing engine_step.jsonl:
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- read all per-step records
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- bin by cache_size
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- report median/p90 of step_duration_us, build_meta_us per bin
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- fit step_duration_us ~ a + b * cache_size (linear least squares)
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- tabulate connector tax(cache_size) = mc_step - plain_step (if plain present)
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- optionally render matplotlib plot if matplotlib available
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Outputs:
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results/<date>/SUMMARY.md human report
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results/<date>/per_config.json machine-readable
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results/<date>/figure.png (optional)
|
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"""
|
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|
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import argparse
|
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import json
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import statistics
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from pathlib import Path
|
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|
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|
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def load_steps(p: Path):
|
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rows = []
|
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with open(p) as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
try:
|
||||
rows.append(json.loads(line))
|
||||
except Exception:
|
||||
pass
|
||||
return rows
|
||||
|
||||
|
||||
def percentile(xs, p):
|
||||
if not xs:
|
||||
return None
|
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xs = sorted(xs)
|
||||
k = max(0, min(len(xs) - 1, int(p / 100.0 * (len(xs) - 1))))
|
||||
return xs[k]
|
||||
|
||||
|
||||
def linfit(xs, ys):
|
||||
"""Tiny linear least squares. Returns (slope, intercept)."""
|
||||
n = len(xs)
|
||||
if n < 2:
|
||||
return None, None
|
||||
sx = sum(xs); sy = sum(ys); sxx = sum(x*x for x in xs)
|
||||
sxy = sum(x*y for x, y in zip(xs, ys))
|
||||
denom = n * sxx - sx * sx
|
||||
if denom == 0:
|
||||
return None, None
|
||||
b = (n * sxy - sx * sy) / denom
|
||||
a = (sy - b * sx) / n
|
||||
return b, a
|
||||
|
||||
|
||||
def bucket(rows, key="cache_size", n_bins=10):
|
||||
"""Equal-width bin on cache_size; returns dict bin_id -> list of rows."""
|
||||
if not rows:
|
||||
return {}
|
||||
vmax = max(r.get(key, 0) for r in rows)
|
||||
if vmax <= 0:
|
||||
return {}
|
||||
width = vmax / n_bins
|
||||
out: dict[int, list[dict]] = {}
|
||||
for r in rows:
|
||||
v = r.get(key, 0)
|
||||
bid = min(n_bins - 1, max(0, int(v / width))) if width > 0 else 0
|
||||
out.setdefault(bid, []).append(r)
|
||||
return out, width
|
||||
|
||||
|
||||
def analyse_config(cfg_name: str, cfg_dir: Path):
|
||||
eng_path = cfg_dir / "engine_step.jsonl"
|
||||
if not eng_path.exists() or eng_path.stat().st_size == 0:
|
||||
return None
|
||||
raw = load_steps(eng_path)
|
||||
if not raw:
|
||||
return None
|
||||
|
||||
# Filter: skip first 500 steps (cold start), and steps with no cache_size.
|
||||
base = [r for r in raw[500:] if r.get("cache_size", -1) >= 0]
|
||||
if not base:
|
||||
return None
|
||||
|
||||
# Decode-only filter: steps where the scheduler did NOT touch any
|
||||
# new/resumed request and total tokens == n_running_total (each running
|
||||
# request emits exactly one token). This gives the cleanest per-step
|
||||
# baseline since prefill chunks dominate step time at high token counts.
|
||||
decode_only = [r for r in base
|
||||
if r.get("prefill_tokens", 0) == 0
|
||||
and r.get("decode_tokens", 0) > 0]
|
||||
# Fall back to "all post-warmup" if decode-only is too sparse
|
||||
rows = decode_only if len(decode_only) >= 200 else base
|
||||
decode_share = len(decode_only) / max(1, len(base))
|
||||
|
||||
cache_max = max(r["cache_size"] for r in rows)
|
||||
bins, width = bucket(rows, n_bins=10)
|
||||
|
||||
per_bin = []
|
||||
for bid in sorted(bins):
|
||||
rs = bins[bid]
|
||||
sd = [r["step_duration_us"] for r in rs if "step_duration_us" in r]
|
||||
bm = [r.get("build_meta_us", 0) for r in rs]
|
||||
cs = [r["cache_size"] for r in rs]
|
||||
per_bin.append({
|
||||
"bin_id": bid,
|
||||
"cache_size_mid": (bid + 0.5) * width,
|
||||
"n": len(rs),
|
||||
"cache_size_p50": percentile(cs, 50),
|
||||
"step_duration_us_p50": percentile(sd, 50),
|
||||
"step_duration_us_p90": percentile(sd, 90),
|
||||
"build_meta_us_p50": percentile(bm, 50),
|
||||
"build_meta_us_p90": percentile(bm, 90),
|
||||
})
|
||||
|
||||
# Fit per-step duration vs cache size on all records (not bin averages)
|
||||
sd_b, sd_a = linfit([r["cache_size"] for r in rows if "step_duration_us" in r],
|
||||
[r["step_duration_us"] for r in rows if "step_duration_us" in r])
|
||||
bm_b, bm_a = linfit([r["cache_size"] for r in rows if "build_meta_us" in r],
|
||||
[r.get("build_meta_us", 0) for r in rows if "build_meta_us" in r])
|
||||
|
||||
# Worker-side timings if available. Filename is `worker_step.r<rank>.jsonl`
|
||||
# because os.path.splitext keeps the .jsonl extension.
|
||||
worker_path = None
|
||||
for c in sorted(cfg_dir.glob("worker_step.r*.jsonl")):
|
||||
worker_path = c
|
||||
break
|
||||
if worker_path is None:
|
||||
worker_path = cfg_dir / "missing"
|
||||
worker_summary = None
|
||||
if worker_path.exists() and worker_path.stat().st_size > 0:
|
||||
wrows = load_steps(worker_path)
|
||||
if wrows:
|
||||
gf = [r["get_finished_us"] for r in wrows if "get_finished_us" in r]
|
||||
sl = [r["start_load_kv_us"] for r in wrows if "start_load_kv_us" in r]
|
||||
worker_summary = {
|
||||
"n": len(wrows),
|
||||
"get_finished_us_p50": percentile(gf, 50),
|
||||
"get_finished_us_p90": percentile(gf, 90),
|
||||
"get_finished_us_p99": percentile(gf, 99),
|
||||
"start_load_kv_us_p50": percentile(sl, 50),
|
||||
"start_load_kv_us_p90": percentile(sl, 90),
|
||||
}
|
||||
|
||||
return {
|
||||
"config": cfg_name,
|
||||
"n_steps_total": len(raw),
|
||||
"n_steps_after_warmup": len(base),
|
||||
"n_steps_decode_only": len(decode_only),
|
||||
"decode_share": decode_share,
|
||||
"rows_used_for_fit": "decode_only" if rows is decode_only else "all_post_warmup",
|
||||
"cache_size_max": cache_max,
|
||||
"per_bin": per_bin,
|
||||
"fit_step_duration": {"slope_us_per_block": sd_b, "intercept_us": sd_a},
|
||||
"fit_build_meta": {"slope_us_per_block": bm_b, "intercept_us": bm_a},
|
||||
"worker_summary": worker_summary,
|
||||
}
|
||||
|
||||
|
||||
def render(root: Path, all_cfg: dict):
|
||||
lines = ["# Cache-size sweep — summary\n"]
|
||||
lines.append(f"Run root: `{root}`\n")
|
||||
lines.append("## Per-config fit (`step_duration_us ≈ a + b · cache_size`)\n")
|
||||
lines.append("| config | n steps | cache max | step_dur p50 (μs) | build_meta p50 (μs) | slope (μs / 1k blocks) | intercept (μs) |")
|
||||
lines.append("|---|---:|---:|---:|---:|---:|---:|")
|
||||
for cfg, r in all_cfg.items():
|
||||
if r is None:
|
||||
lines.append(f"| {cfg} | — | — | — | — | — | — |")
|
||||
continue
|
||||
last_bin = r["per_bin"][-1] if r["per_bin"] else {}
|
||||
slope = r["fit_step_duration"]["slope_us_per_block"]
|
||||
intercept = r["fit_step_duration"]["intercept_us"]
|
||||
slope1k = (slope or 0) * 1000
|
||||
lines.append(
|
||||
f"| {cfg} | {r['n_steps_after_warmup']} | {r['cache_size_max']} | "
|
||||
f"{last_bin.get('step_duration_us_p50','-')} | "
|
||||
f"{last_bin.get('build_meta_us_p50','-')} | "
|
||||
f"{slope1k:.1f} | {intercept:.1f} |"
|
||||
if slope is not None else
|
||||
f"| {cfg} | {r['n_steps_after_warmup']} | {r['cache_size_max']} | - | - | - | - |"
|
||||
)
|
||||
|
||||
# Per-bin tables
|
||||
for cfg, r in all_cfg.items():
|
||||
if r is None:
|
||||
continue
|
||||
lines.append(f"\n### {cfg} — per-bin\n")
|
||||
lines.append("| bin | cache mid | n | step_dur p50 | step_dur p90 | build_meta p50 | build_meta p90 |")
|
||||
lines.append("|---:|---:|---:|---:|---:|---:|---:|")
|
||||
for b in r["per_bin"]:
|
||||
lines.append(
|
||||
f"| {b['bin_id']} | {b['cache_size_mid']:.0f} | {b['n']} | "
|
||||
f"{b['step_duration_us_p50']} | {b['step_duration_us_p90']} | "
|
||||
f"{b['build_meta_us_p50']} | {b['build_meta_us_p90']} |"
|
||||
)
|
||||
if r["worker_summary"]:
|
||||
w = r["worker_summary"]
|
||||
lines.append(f"\n*worker side (n={w['n']})* — "
|
||||
f"get_finished p50/p90/p99 = "
|
||||
f"{w['get_finished_us_p50']}/{w['get_finished_us_p90']}/"
|
||||
f"{w['get_finished_us_p99']} μs; "
|
||||
f"start_load_kv p50/p90 = "
|
||||
f"{w['start_load_kv_us_p50']}/{w['start_load_kv_us_p90']} μs\n")
|
||||
|
||||
# Tax vs cache for mc vs plain
|
||||
plain = all_cfg.get("plain")
|
||||
mc = all_cfg.get("mooncake_both")
|
||||
noop = all_cfg.get("noop_connector")
|
||||
if plain and mc:
|
||||
lines.append("\n## Connector tax(cache_size) — mooncake_both vs plain\n")
|
||||
lines.append("| bin | cache mid | plain step p50 | mc step p50 | tax (μs) | tax (%) |")
|
||||
lines.append("|---:|---:|---:|---:|---:|---:|")
|
||||
for bp, bm in zip(plain["per_bin"], mc["per_bin"]):
|
||||
if bp["step_duration_us_p50"] and bm["step_duration_us_p50"]:
|
||||
tax = bm["step_duration_us_p50"] - bp["step_duration_us_p50"]
|
||||
pct = tax / bp["step_duration_us_p50"] * 100
|
||||
lines.append(
|
||||
f"| {bp['bin_id']} | {bp['cache_size_mid']:.0f} | "
|
||||
f"{bp['step_duration_us_p50']} | {bm['step_duration_us_p50']} | "
|
||||
f"{tax:+d} | {pct:+.1f} |"
|
||||
)
|
||||
if plain and noop:
|
||||
# Framework cost: noop_connector tax = pure dispatch
|
||||
lines.append("\n## Framework cost — noop_connector vs plain\n")
|
||||
lines.append("| bin | cache mid | plain step p50 | noop step p50 | tax (μs) |")
|
||||
lines.append("|---:|---:|---:|---:|---:|")
|
||||
for bp, bn in zip(plain["per_bin"], noop["per_bin"]):
|
||||
if bp["step_duration_us_p50"] and bn["step_duration_us_p50"]:
|
||||
tax = bn["step_duration_us_p50"] - bp["step_duration_us_p50"]
|
||||
lines.append(
|
||||
f"| {bp['bin_id']} | {bp['cache_size_mid']:.0f} | "
|
||||
f"{bp['step_duration_us_p50']} | {bn['step_duration_us_p50']} | "
|
||||
f"{tax:+d} |"
|
||||
)
|
||||
|
||||
out_md = root / "SUMMARY.md"
|
||||
out_md.write_text("\n".join(lines) + "\n")
|
||||
out_json = root / "per_config.json"
|
||||
out_json.write_text(json.dumps(all_cfg, indent=2, default=str))
|
||||
print(f" wrote {out_md}")
|
||||
print(f" wrote {out_json}")
|
||||
|
||||
# Optional plot
|
||||
try:
|
||||
import matplotlib
|
||||
matplotlib.use("Agg")
|
||||
import matplotlib.pyplot as plt
|
||||
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(13, 5))
|
||||
colors = {"plain": "tab:blue", "noop_connector": "tab:orange",
|
||||
"mooncake_both": "tab:red"}
|
||||
for cfg, r in all_cfg.items():
|
||||
if r is None: continue
|
||||
xs = [b["cache_size_mid"] for b in r["per_bin"]]
|
||||
ys = [b["step_duration_us_p50"] or 0 for b in r["per_bin"]]
|
||||
zs = [b["build_meta_us_p50"] or 0 for b in r["per_bin"]]
|
||||
c = colors.get(cfg, None)
|
||||
ax1.plot(xs, ys, marker="o", label=cfg, color=c)
|
||||
ax2.plot(xs, zs, marker="s", label=cfg, color=c)
|
||||
ax1.set_xlabel("cache_size (blocks)")
|
||||
ax1.set_ylabel("step_duration_us p50")
|
||||
ax1.set_title("Per-step scheduler time vs |cache|")
|
||||
ax1.legend(); ax1.grid(True, alpha=0.3)
|
||||
ax2.set_xlabel("cache_size (blocks)")
|
||||
ax2.set_ylabel("build_meta_us p50")
|
||||
ax2.set_title("build_connector_meta time vs |cache|")
|
||||
ax2.legend(); ax2.grid(True, alpha=0.3)
|
||||
fig.tight_layout()
|
||||
fig.savefig(root / "figure.png", dpi=120)
|
||||
print(f" wrote {root/'figure.png'}")
|
||||
except Exception as e:
|
||||
print(f" (skipped plot: {e})")
|
||||
|
||||
|
||||
def main():
|
||||
ap = argparse.ArgumentParser()
|
||||
ap.add_argument("--run-root", type=Path, required=True)
|
||||
args = ap.parse_args()
|
||||
|
||||
cfgs = {}
|
||||
for d in sorted(args.run_root.iterdir()):
|
||||
if not d.is_dir(): continue
|
||||
r = analyse_config(d.name, d)
|
||||
cfgs[d.name] = r
|
||||
if r:
|
||||
sl = r["fit_step_duration"]["slope_us_per_block"]
|
||||
print(f" {d.name}: n={r['n_steps_after_warmup']} "
|
||||
f"cache_max={r['cache_size_max']} "
|
||||
f"slope={(sl or 0)*1000:.2f} μs/1k blocks")
|
||||
else:
|
||||
print(f" {d.name}: no data")
|
||||
render(args.run_root, cfgs)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
251
microbench/connector_tax/cache_sweep/apply_step_timing_v2.py
Executable file
251
microbench/connector_tax/cache_sweep/apply_step_timing_v2.py
Executable file
@@ -0,0 +1,251 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Cache-sweep patch v2.
|
||||
|
||||
Extends `microbench/connector_tax/patches/apply_step_timing.py` with:
|
||||
|
||||
scheduler.py → adds `cache_size` field (block_pool dict len) to
|
||||
the per-step JSONL.
|
||||
kv_connector_model_runner_mixin.py
|
||||
→ wraps `kv_connector.start_load_kv(...)` and
|
||||
`kv_connector.get_finished(...)` to record their
|
||||
duration into per-process `worker_step.jsonl`
|
||||
(path from env var `CT_WORKER_STEP_LOG_PATH`).
|
||||
|
||||
All inserts carry the marker `# CT_CACHE_SWEEP_PATCH` so revert is
|
||||
"delete every line that contains the marker". The original
|
||||
`CONNECTOR_TAX_PATCH` lines (step_duration_us, build_meta_us) are
|
||||
left alone.
|
||||
|
||||
Usage:
|
||||
python apply_step_timing_v2.py --apply [--vllm-root PATH]
|
||||
python apply_step_timing_v2.py --revert [--vllm-root PATH]
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import re
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
MARKER = "# CT_CACHE_SWEEP_PATCH"
|
||||
BLOCK_BEGIN = f"{MARKER}_BLOCK_BEGIN"
|
||||
BLOCK_END = f"{MARKER}_BLOCK_END"
|
||||
# Default vLLM is the in-tree third_party copy; on dash0 the .venv links to it.
|
||||
DEFAULT_VLLM_ROOT = Path(
|
||||
"/home/admin/cpfs/wjh/agentic-kv/.venv/lib/python3.12/site-packages/vllm"
|
||||
)
|
||||
|
||||
|
||||
def already_patched(text: str) -> bool:
|
||||
return MARKER in text
|
||||
|
||||
|
||||
def revert_text(text: str) -> str:
|
||||
"""Two pass revert:
|
||||
1. drop everything between BLOCK_BEGIN / BLOCK_END (inclusive)
|
||||
2. drop any remaining single line that contains MARKER
|
||||
Order matters so single-line MARKERs inside a block don't shrink-wrap.
|
||||
"""
|
||||
out_lines = []
|
||||
inside_block = False
|
||||
for line in text.splitlines():
|
||||
if BLOCK_BEGIN in line:
|
||||
inside_block = True
|
||||
continue
|
||||
if BLOCK_END in line:
|
||||
inside_block = False
|
||||
continue
|
||||
if inside_block:
|
||||
continue
|
||||
if MARKER in line:
|
||||
continue
|
||||
out_lines.append(line)
|
||||
return "\n".join(out_lines) + ("\n" if text.endswith("\n") else "")
|
||||
|
||||
|
||||
# ── scheduler.py: add cache_size field to record dict ───────────────────────
|
||||
def patch_scheduler(text: str) -> str:
|
||||
if already_patched(text):
|
||||
print(" scheduler.py already has CT_CACHE_SWEEP_PATCH, skipping")
|
||||
return text
|
||||
|
||||
# Inject `cache_size` field into the record built by
|
||||
# `_agentic_emit_step_log`. We piggy-back on the existing
|
||||
# CONNECTOR_TAX_PATCH lines that already inject `step_duration_us`
|
||||
# and `build_meta_us`. Insert immediately after `"t_unix": _time.time(),`.
|
||||
pat = (
|
||||
r"( record = \{\n"
|
||||
r"(?:[^\n]*CONNECTOR_TAX_PATCH\n)*"
|
||||
r" \"t_unix\": _time\.time\(\),\n)"
|
||||
)
|
||||
|
||||
def repl(m):
|
||||
return (
|
||||
m.group(1)
|
||||
+ " \"cache_size\": _ct_cache_size(self), " + MARKER + "\n"
|
||||
)
|
||||
|
||||
text, n = re.subn(pat, repl, text, count=1)
|
||||
if n == 0:
|
||||
raise RuntimeError(
|
||||
"Failed to inject cache_size — is the base CONNECTOR_TAX_PATCH "
|
||||
"applied?"
|
||||
)
|
||||
|
||||
# Add a helper at module bottom (only once). Wrap in block sentinels
|
||||
# so revert removes the whole block, not just lines that happen to
|
||||
# contain MARKER.
|
||||
helper = (
|
||||
f"\n# {BLOCK_BEGIN}\n"
|
||||
f"def _ct_cache_size(scheduler):\n"
|
||||
f" try:\n"
|
||||
f" return len(scheduler.kv_cache_manager.block_pool.cached_block_hash_to_block._cache)\n"
|
||||
f" except Exception:\n"
|
||||
f" return -1\n"
|
||||
f"# {BLOCK_END}\n"
|
||||
)
|
||||
if BLOCK_BEGIN not in text:
|
||||
text = text.rstrip() + "\n" + helper
|
||||
|
||||
return text
|
||||
|
||||
|
||||
# ── worker mixin: time start_load_kv + get_finished ─────────────────────────
|
||||
def patch_worker_mixin(text: str) -> str:
|
||||
if already_patched(text):
|
||||
print(" kv_connector_model_runner_mixin.py already patched, skipping")
|
||||
return text
|
||||
|
||||
# Wrap the start_load_kv call.
|
||||
pat = (
|
||||
r" kv_connector\.start_load_kv\(get_forward_context\(\)\)\n"
|
||||
)
|
||||
repl = (
|
||||
" _ct_t0 = __import__('time').perf_counter_ns() " + MARKER + "\n"
|
||||
" kv_connector.start_load_kv(get_forward_context())\n"
|
||||
" _ct_start_load_kv_us = (__import__('time').perf_counter_ns() - _ct_t0) // 1000 " + MARKER + "\n"
|
||||
)
|
||||
text, n = re.subn(pat, repl, text, count=1)
|
||||
if n == 0:
|
||||
raise RuntimeError("Failed to patch start_load_kv call")
|
||||
|
||||
# Wrap the get_finished call. We assign into local _ct_get_finished_us
|
||||
# in the same `try/finally` block where get_finished is called.
|
||||
pat = (
|
||||
r" output\.finished_sending, output\.finished_recving = \(\n"
|
||||
r" kv_connector\.get_finished\(scheduler_output\.finished_req_ids\)\n"
|
||||
r" \)\n"
|
||||
)
|
||||
repl = (
|
||||
" _ct_t1 = __import__('time').perf_counter_ns() " + MARKER + "\n"
|
||||
" output.finished_sending, output.finished_recving = (\n"
|
||||
" kv_connector.get_finished(scheduler_output.finished_req_ids)\n"
|
||||
" )\n"
|
||||
" _ct_get_finished_us = (__import__('time').perf_counter_ns() - _ct_t1) // 1000 " + MARKER + "\n"
|
||||
" _ct_emit_worker_step(_ct_start_load_kv_us, _ct_get_finished_us) " + MARKER + "\n"
|
||||
)
|
||||
text, n = re.subn(pat, repl, text, count=1)
|
||||
if n == 0:
|
||||
raise RuntimeError("Failed to patch get_finished call")
|
||||
|
||||
# Add the emitter at module bottom. Lazy-opens worker_step.jsonl on
|
||||
# the first call. Wrapped in block sentinels so revert is clean.
|
||||
emitter = f"""
|
||||
# {BLOCK_BEGIN}
|
||||
_ct_worker_fh = None
|
||||
_ct_worker_init_done = False
|
||||
_ct_worker_step_id = 0
|
||||
|
||||
|
||||
def _ct_emit_worker_step(start_load_kv_us, get_finished_us):
|
||||
global _ct_worker_fh, _ct_worker_init_done, _ct_worker_step_id
|
||||
import os, json, time
|
||||
if not _ct_worker_init_done:
|
||||
_ct_worker_init_done = True
|
||||
path = os.environ.get("CT_WORKER_STEP_LOG_PATH")
|
||||
if not path:
|
||||
return
|
||||
try:
|
||||
rank = os.environ.get("RANK", os.environ.get("LOCAL_RANK", "0"))
|
||||
base, ext = os.path.splitext(path)
|
||||
full = f"{{base}}.r{{rank}}{{ext or '.jsonl'}}"
|
||||
_ct_worker_fh = open(full, "a", buffering=1)
|
||||
except Exception:
|
||||
_ct_worker_fh = None
|
||||
fh = _ct_worker_fh
|
||||
if fh is None:
|
||||
return
|
||||
try:
|
||||
fh.write(json.dumps({{
|
||||
"t_unix": time.time(),
|
||||
"step_id": _ct_worker_step_id,
|
||||
"start_load_kv_us": int(start_load_kv_us),
|
||||
"get_finished_us": int(get_finished_us),
|
||||
}}) + "\\n")
|
||||
_ct_worker_step_id += 1
|
||||
except Exception:
|
||||
try:
|
||||
fh.close()
|
||||
except Exception:
|
||||
pass
|
||||
_ct_worker_fh = None
|
||||
# {BLOCK_END}
|
||||
"""
|
||||
if BLOCK_BEGIN not in text:
|
||||
text = text.rstrip() + "\n" + emitter
|
||||
|
||||
return text
|
||||
|
||||
|
||||
# ── driver ──────────────────────────────────────────────────────────────────
|
||||
def apply_to_file(path: Path, fn) -> bool:
|
||||
if not path.exists():
|
||||
print(f" SKIP {path} (not found)")
|
||||
return False
|
||||
orig = path.read_text()
|
||||
new = fn(orig)
|
||||
if new == orig:
|
||||
print(f" unchanged: {path}")
|
||||
return False
|
||||
path.write_text(new)
|
||||
print(f" patched ({new.count(MARKER)} marks): {path}")
|
||||
return True
|
||||
|
||||
|
||||
def revert_file(path: Path) -> bool:
|
||||
if not path.exists():
|
||||
return False
|
||||
orig = path.read_text()
|
||||
new = revert_text(orig)
|
||||
if new == orig:
|
||||
print(f" no marks: {path}")
|
||||
return False
|
||||
path.write_text(new)
|
||||
print(f" reverted: {path}")
|
||||
return True
|
||||
|
||||
|
||||
def main():
|
||||
ap = argparse.ArgumentParser()
|
||||
ap.add_argument("--apply", action="store_true")
|
||||
ap.add_argument("--revert", action="store_true")
|
||||
ap.add_argument("--vllm-root", type=Path, default=DEFAULT_VLLM_ROOT)
|
||||
args = ap.parse_args()
|
||||
|
||||
if not (args.apply ^ args.revert):
|
||||
ap.error("Specify exactly one of --apply / --revert")
|
||||
|
||||
sched = args.vllm_root / "v1/core/sched/scheduler.py"
|
||||
mixin = args.vllm_root / "v1/worker/kv_connector_model_runner_mixin.py"
|
||||
|
||||
if args.apply:
|
||||
print(f"Applying CT_CACHE_SWEEP_PATCH to {args.vllm_root}")
|
||||
apply_to_file(sched, patch_scheduler)
|
||||
apply_to_file(mixin, patch_worker_mixin)
|
||||
else:
|
||||
print(f"Reverting CT_CACHE_SWEEP_PATCH from {args.vllm_root}")
|
||||
revert_file(sched)
|
||||
revert_file(mixin)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
6
microbench/connector_tax/cache_sweep/results/.gitignore
vendored
Normal file
6
microbench/connector_tax/cache_sweep/results/.gitignore
vendored
Normal file
@@ -0,0 +1,6 @@
|
||||
# Heavy raw artifacts — re-derivable from a re-run.
|
||||
# Per-bin summaries are preserved in SUMMARY.md and per_config.json.
|
||||
**/engine_step.jsonl
|
||||
**/vllm_stdout.log
|
||||
**/vllm_stderr.log
|
||||
**/.vllm.pid
|
||||
@@ -0,0 +1,85 @@
|
||||
# Cache-size sweep — summary
|
||||
|
||||
Run root: `microbench/connector_tax/cache_sweep/results/20260526_1507`
|
||||
|
||||
## Per-config fit (`step_duration_us ≈ a + b · cache_size`)
|
||||
|
||||
| config | n steps | cache max | step_dur p50 (μs) | build_meta p50 (μs) | slope (μs / 1k blocks) | intercept (μs) |
|
||||
|---|---:|---:|---:|---:|---:|---:|
|
||||
| mooncake_both | 17675 | 17528 | 1528 | 1442 | 85.6 | 194.4 |
|
||||
| noop_connector | 16127 | 17529 | 79 | 0 | -0.8 | 102.6 |
|
||||
| plain | 15692 | 17529 | 84 | 0 | 1.0 | 74.7 |
|
||||
|
||||
### mooncake_both — per-bin
|
||||
|
||||
| bin | cache mid | n | step_dur p50 | step_dur p90 | build_meta p50 | build_meta p90 |
|
||||
|---:|---:|---:|---:|---:|---:|---:|
|
||||
| 1 | 2629 | 282 | 276 | 430 | 207 | 339 |
|
||||
| 2 | 4382 | 115 | 763 | 993 | 609 | 831 |
|
||||
| 3 | 6135 | 120 | 960 | 1055 | 815 | 889 |
|
||||
| 4 | 7888 | 248 | 972 | 1254 | 834 | 1102 |
|
||||
| 5 | 9640 | 508 | 941 | 1356 | 860 | 1237 |
|
||||
| 6 | 11393 | 220 | 1025 | 1456 | 943 | 1352 |
|
||||
| 7 | 13146 | 679 | 1135 | 1616 | 1060 | 1515 |
|
||||
| 8 | 14899 | 308 | 1261 | 1881 | 1174 | 1769 |
|
||||
| 9 | 16652 | 14849 | 1528 | 2208 | 1442 | 2079 |
|
||||
|
||||
*worker side (n=18175)* — get_finished p50/p90/p99 = 180/257/333 μs; start_load_kv p50/p90 = 2/5 μs
|
||||
|
||||
|
||||
### noop_connector — per-bin
|
||||
|
||||
| bin | cache mid | n | step_dur p50 | step_dur p90 | build_meta p50 | build_meta p90 |
|
||||
|---:|---:|---:|---:|---:|---:|---:|
|
||||
| 2 | 4382 | 270 | 100 | 126 | 0 | 1 |
|
||||
| 3 | 6135 | 173 | 110 | 128 | 0 | 1 |
|
||||
| 4 | 7888 | 437 | 84 | 116 | 0 | 1 |
|
||||
| 5 | 9641 | 17 | 101 | 123 | 0 | 1 |
|
||||
| 6 | 11394 | 408 | 130 | 164 | 0 | 1 |
|
||||
| 7 | 13147 | 458 | 73 | 100 | 0 | 1 |
|
||||
| 8 | 14900 | 621 | 67 | 101 | 0 | 1 |
|
||||
| 9 | 16653 | 13386 | 79 | 139 | 0 | 0 |
|
||||
|
||||
*worker side (n=16627)* — get_finished p50/p90/p99 = 0/0/2 μs; start_load_kv p50/p90 = 0/1 μs
|
||||
|
||||
|
||||
### plain — per-bin
|
||||
|
||||
| bin | cache mid | n | step_dur p50 | step_dur p90 | build_meta p50 | build_meta p90 |
|
||||
|---:|---:|---:|---:|---:|---:|---:|
|
||||
| 1 | 2629 | 555 | 59 | 79 | 0 | 0 |
|
||||
| 2 | 4382 | 505 | 69 | 95 | 0 | 0 |
|
||||
| 3 | 6135 | 173 | 74 | 99 | 0 | 0 |
|
||||
| 4 | 7888 | 132 | 139 | 185 | 0 | 0 |
|
||||
| 5 | 9641 | 241 | 125 | 161 | 0 | 0 |
|
||||
| 6 | 11394 | 267 | 82 | 104 | 0 | 0 |
|
||||
| 7 | 13147 | 402 | 91 | 128 | 0 | 0 |
|
||||
| 8 | 14900 | 85 | 136 | 163 | 0 | 0 |
|
||||
| 9 | 16653 | 12973 | 84 | 141 | 0 | 0 |
|
||||
|
||||
## Connector tax(cache_size) — mooncake_both vs plain
|
||||
|
||||
| bin | cache mid | plain step p50 | mc step p50 | tax (μs) | tax (%) |
|
||||
|---:|---:|---:|---:|---:|---:|
|
||||
| 1 | 2629 | 59 | 276 | +217 | +367.8 |
|
||||
| 2 | 4382 | 69 | 763 | +694 | +1005.8 |
|
||||
| 3 | 6135 | 74 | 960 | +886 | +1197.3 |
|
||||
| 4 | 7888 | 139 | 972 | +833 | +599.3 |
|
||||
| 5 | 9641 | 125 | 941 | +816 | +652.8 |
|
||||
| 6 | 11394 | 82 | 1025 | +943 | +1150.0 |
|
||||
| 7 | 13147 | 91 | 1135 | +1044 | +1147.3 |
|
||||
| 8 | 14900 | 136 | 1261 | +1125 | +827.2 |
|
||||
| 9 | 16653 | 84 | 1528 | +1444 | +1719.0 |
|
||||
|
||||
## Framework cost — noop_connector vs plain
|
||||
|
||||
| bin | cache mid | plain step p50 | noop step p50 | tax (μs) |
|
||||
|---:|---:|---:|---:|---:|
|
||||
| 1 | 2629 | 59 | 100 | +41 |
|
||||
| 2 | 4382 | 69 | 110 | +41 |
|
||||
| 3 | 6135 | 74 | 84 | +10 |
|
||||
| 4 | 7888 | 139 | 101 | -38 |
|
||||
| 5 | 9641 | 125 | 130 | +5 |
|
||||
| 6 | 11394 | 82 | 73 | -9 |
|
||||
| 7 | 13147 | 91 | 67 | -24 |
|
||||
| 8 | 14900 | 136 | 79 | -57 |
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 86 KiB |
@@ -0,0 +1,624 @@
|
||||
# HELP python_gc_objects_collected_total Objects collected during gc
|
||||
# TYPE python_gc_objects_collected_total counter
|
||||
python_gc_objects_collected_total{generation="0"} 11970.0
|
||||
python_gc_objects_collected_total{generation="1"} 1549.0
|
||||
python_gc_objects_collected_total{generation="2"} 855.0
|
||||
# HELP python_gc_objects_uncollectable_total Uncollectable objects found during GC
|
||||
# TYPE python_gc_objects_uncollectable_total counter
|
||||
python_gc_objects_uncollectable_total{generation="0"} 0.0
|
||||
python_gc_objects_uncollectable_total{generation="1"} 0.0
|
||||
python_gc_objects_uncollectable_total{generation="2"} 0.0
|
||||
# HELP python_gc_collections_total Number of times this generation was collected
|
||||
# TYPE python_gc_collections_total counter
|
||||
python_gc_collections_total{generation="0"} 1331.0
|
||||
python_gc_collections_total{generation="1"} 121.0
|
||||
python_gc_collections_total{generation="2"} 9.0
|
||||
# HELP python_info Python platform information
|
||||
# TYPE python_info gauge
|
||||
python_info{implementation="CPython",major="3",minor="12",patchlevel="3",version="3.12.3"} 1.0
|
||||
# HELP process_virtual_memory_bytes Virtual memory size in bytes.
|
||||
# TYPE process_virtual_memory_bytes gauge
|
||||
process_virtual_memory_bytes 4.0688443392e+010
|
||||
# HELP process_resident_memory_bytes Resident memory size in bytes.
|
||||
# TYPE process_resident_memory_bytes gauge
|
||||
process_resident_memory_bytes 1.380319232e+09
|
||||
# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.
|
||||
# TYPE process_start_time_seconds gauge
|
||||
process_start_time_seconds 1.77980878561e+09
|
||||
# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.
|
||||
# TYPE process_cpu_seconds_total counter
|
||||
process_cpu_seconds_total 40.3
|
||||
# HELP process_open_fds Number of open file descriptors.
|
||||
# TYPE process_open_fds gauge
|
||||
process_open_fds 67.0
|
||||
# HELP process_max_fds Maximum number of open file descriptors.
|
||||
# TYPE process_max_fds gauge
|
||||
process_max_fds 1.048575e+06
|
||||
# HELP vllm:estimated_flops_per_gpu_total Estimated number of floating point operations per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_flops_per_gpu_total counter
|
||||
vllm:estimated_flops_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_flops_per_gpu_created Estimated number of floating point operations per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_flops_per_gpu_created gauge
|
||||
vllm:estimated_flops_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920332582e+09
|
||||
# HELP vllm:estimated_read_bytes_per_gpu_total Estimated number of bytes read from memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_read_bytes_per_gpu_total counter
|
||||
vllm:estimated_read_bytes_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_read_bytes_per_gpu_created Estimated number of bytes read from memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_read_bytes_per_gpu_created gauge
|
||||
vllm:estimated_read_bytes_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920332909e+09
|
||||
# HELP vllm:estimated_write_bytes_per_gpu_total Estimated number of bytes written to memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_write_bytes_per_gpu_total counter
|
||||
vllm:estimated_write_bytes_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_write_bytes_per_gpu_created Estimated number of bytes written to memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_write_bytes_per_gpu_created gauge
|
||||
vllm:estimated_write_bytes_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920333076e+09
|
||||
# HELP vllm:num_requests_running Number of requests in model execution batches.
|
||||
# TYPE vllm:num_requests_running gauge
|
||||
vllm:num_requests_running{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:num_requests_waiting Number of requests waiting to be processed.
|
||||
# TYPE vllm:num_requests_waiting gauge
|
||||
vllm:num_requests_waiting{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:engine_sleep_state Engine sleep state; awake = 0 means engine is sleeping; awake = 1 means engine is awake; weights_offloaded = 1 means sleep level 1; discard_all = 1 means sleep level 2.
|
||||
# TYPE vllm:engine_sleep_state gauge
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="awake"} 1.0
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="weights_offloaded"} 0.0
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="discard_all"} 0.0
|
||||
# HELP vllm:kv_cache_usage_perc KV-cache usage. 1 means 100 percent usage.
|
||||
# TYPE vllm:kv_cache_usage_perc gauge
|
||||
vllm:kv_cache_usage_perc{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prefix_cache_queries_total Prefix cache queries, in terms of number of queried tokens.
|
||||
# TYPE vllm:prefix_cache_queries_total counter
|
||||
vllm:prefix_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.344332e+06
|
||||
# HELP vllm:prefix_cache_queries_created Prefix cache queries, in terms of number of queried tokens.
|
||||
# TYPE vllm:prefix_cache_queries_created gauge
|
||||
vllm:prefix_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920334654e+09
|
||||
# HELP vllm:prefix_cache_hits_total Prefix cache hits, in terms of number of cached tokens.
|
||||
# TYPE vllm:prefix_cache_hits_total counter
|
||||
vllm:prefix_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prefix_cache_hits_created Prefix cache hits, in terms of number of cached tokens.
|
||||
# TYPE vllm:prefix_cache_hits_created gauge
|
||||
vllm:prefix_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920334804e+09
|
||||
# HELP vllm:external_prefix_cache_queries_total External prefix cache queries from KV connector cross-instance cache sharing, in terms of number of queried tokens.
|
||||
# TYPE vllm:external_prefix_cache_queries_total counter
|
||||
vllm:external_prefix_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.344332e+06
|
||||
# HELP vllm:external_prefix_cache_queries_created External prefix cache queries from KV connector cross-instance cache sharing, in terms of number of queried tokens.
|
||||
# TYPE vllm:external_prefix_cache_queries_created gauge
|
||||
vllm:external_prefix_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920334933e+09
|
||||
# HELP vllm:external_prefix_cache_hits_total External prefix cache hits from KV connector cross-instance cache sharing, in terms of number of cached tokens.
|
||||
# TYPE vllm:external_prefix_cache_hits_total counter
|
||||
vllm:external_prefix_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:external_prefix_cache_hits_created External prefix cache hits from KV connector cross-instance cache sharing, in terms of number of cached tokens.
|
||||
# TYPE vllm:external_prefix_cache_hits_created gauge
|
||||
vllm:external_prefix_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920335064e+09
|
||||
# HELP vllm:mm_cache_queries_total Multi-modal cache queries, in terms of number of queried items.
|
||||
# TYPE vllm:mm_cache_queries_total counter
|
||||
vllm:mm_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:mm_cache_queries_created Multi-modal cache queries, in terms of number of queried items.
|
||||
# TYPE vllm:mm_cache_queries_created gauge
|
||||
vllm:mm_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892033517e+09
|
||||
# HELP vllm:mm_cache_hits_total Multi-modal cache hits, in terms of number of cached items.
|
||||
# TYPE vllm:mm_cache_hits_total counter
|
||||
vllm:mm_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:mm_cache_hits_created Multi-modal cache hits, in terms of number of cached items.
|
||||
# TYPE vllm:mm_cache_hits_created gauge
|
||||
vllm:mm_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920335355e+09
|
||||
# HELP vllm:num_preemptions_total Cumulative number of preemption from the engine.
|
||||
# TYPE vllm:num_preemptions_total counter
|
||||
vllm:num_preemptions_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:num_preemptions_created Cumulative number of preemption from the engine.
|
||||
# TYPE vllm:num_preemptions_created gauge
|
||||
vllm:num_preemptions_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920335562e+09
|
||||
# HELP vllm:prompt_tokens_total Number of prefill tokens processed.
|
||||
# TYPE vllm:prompt_tokens_total counter
|
||||
vllm:prompt_tokens_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.344332e+06
|
||||
# HELP vllm:prompt_tokens_created Number of prefill tokens processed.
|
||||
# TYPE vllm:prompt_tokens_created gauge
|
||||
vllm:prompt_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.77980889203357e+09
|
||||
# HELP vllm:prompt_tokens_by_source_total Number of prompt tokens by source.
|
||||
# TYPE vllm:prompt_tokens_by_source_total counter
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_compute"} 1.344332e+06
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_cache_hit"} 0.0
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="external_kv_transfer"} 0.0
|
||||
# HELP vllm:prompt_tokens_by_source_created Number of prompt tokens by source.
|
||||
# TYPE vllm:prompt_tokens_by_source_created gauge
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_compute"} 1.7798088920335863e+09
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_cache_hit"} 1.7798088920335915e+09
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="external_kv_transfer"} 1.779808892033597e+09
|
||||
# HELP vllm:prompt_tokens_cached_total Number of cached prompt tokens (local + external).
|
||||
# TYPE vllm:prompt_tokens_cached_total counter
|
||||
vllm:prompt_tokens_cached_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prompt_tokens_cached_created Number of cached prompt tokens (local + external).
|
||||
# TYPE vllm:prompt_tokens_cached_created gauge
|
||||
vllm:prompt_tokens_cached_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892033609e+09
|
||||
# HELP vllm:prompt_tokens_recomputed_total Number of cached tokens recomputed for forward pass.
|
||||
# TYPE vllm:prompt_tokens_recomputed_total counter
|
||||
vllm:prompt_tokens_recomputed_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prompt_tokens_recomputed_created Number of cached tokens recomputed for forward pass.
|
||||
# TYPE vllm:prompt_tokens_recomputed_created gauge
|
||||
vllm:prompt_tokens_recomputed_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.77980889203362e+09
|
||||
# HELP vllm:generation_tokens_total Number of generation tokens processed.
|
||||
# TYPE vllm:generation_tokens_total counter
|
||||
vllm:generation_tokens_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 86272.0
|
||||
# HELP vllm:generation_tokens_created Number of generation tokens processed.
|
||||
# TYPE vllm:generation_tokens_created gauge
|
||||
vllm:generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920336325e+09
|
||||
# HELP vllm:request_success_total Count of successfully processed requests.
|
||||
# TYPE vllm:request_success_total counter
|
||||
vllm:request_success_total{engine="0",finished_reason="stop",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="length",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_success_total{engine="0",finished_reason="abort",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="error",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="repetition",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:request_success_created Count of successfully processed requests.
|
||||
# TYPE vllm:request_success_created gauge
|
||||
vllm:request_success_created{engine="0",finished_reason="stop",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892033657e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="length",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920336642e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="abort",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920336797e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="error",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920336847e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="repetition",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920336902e+09
|
||||
# HELP vllm:request_prompt_tokens Number of prefill tokens processed.
|
||||
# TYPE vllm:request_prompt_tokens histogram
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prompt_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.344332e+06
|
||||
# HELP vllm:request_prompt_tokens_created Number of prefill tokens processed.
|
||||
# TYPE vllm:request_prompt_tokens_created gauge
|
||||
vllm:request_prompt_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892033737e+09
|
||||
# HELP vllm:request_generation_tokens Number of generation tokens processed.
|
||||
# TYPE vllm:request_generation_tokens histogram
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_generation_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 86272.0
|
||||
# HELP vllm:request_generation_tokens_created Number of generation tokens processed.
|
||||
# TYPE vllm:request_generation_tokens_created gauge
|
||||
vllm:request_generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920337977e+09
|
||||
# HELP vllm:iteration_tokens_total Histogram of number of tokens per engine_step.
|
||||
# TYPE vllm:iteration_tokens_total histogram
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 2159.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="8.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15439.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="16.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17819.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="32.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17820.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="64.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17820.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="128.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17820.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="256.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17820.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="512.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17820.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="1024.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17820.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="2048.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 17820.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="4096.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 18129.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="8192.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 18143.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="16384.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 18143.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 18143.0
|
||||
vllm:iteration_tokens_total_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 18143.0
|
||||
vllm:iteration_tokens_total_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.430604e+06
|
||||
# HELP vllm:iteration_tokens_total_created Histogram of number of tokens per engine_step.
|
||||
# TYPE vllm:iteration_tokens_total_created gauge
|
||||
vllm:iteration_tokens_total_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920338387e+09
|
||||
# HELP vllm:request_max_num_generation_tokens Histogram of maximum number of requested generation tokens.
|
||||
# TYPE vllm:request_max_num_generation_tokens histogram
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_max_num_generation_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 86272.0
|
||||
# HELP vllm:request_max_num_generation_tokens_created Histogram of maximum number of requested generation tokens.
|
||||
# TYPE vllm:request_max_num_generation_tokens_created gauge
|
||||
vllm:request_max_num_generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920338805e+09
|
||||
# HELP vllm:request_params_n Histogram of the n request parameter.
|
||||
# TYPE vllm:request_params_n histogram
|
||||
vllm:request_params_n_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_n_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_n_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_n_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_n_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_n_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_n_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_n_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
# HELP vllm:request_params_n_created Histogram of the n request parameter.
|
||||
# TYPE vllm:request_params_n_created gauge
|
||||
vllm:request_params_n_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920339143e+09
|
||||
# HELP vllm:request_params_max_tokens Histogram of the max_tokens request parameter.
|
||||
# TYPE vllm:request_params_max_tokens histogram
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_params_max_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 86272.0
|
||||
# HELP vllm:request_params_max_tokens_created Histogram of the max_tokens request parameter.
|
||||
# TYPE vllm:request_params_max_tokens_created gauge
|
||||
vllm:request_params_max_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920339627e+09
|
||||
# HELP vllm:time_to_first_token_seconds Histogram of time to first token in seconds.
|
||||
# TYPE vllm:time_to_first_token_seconds histogram
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.001",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.005",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.02",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.04",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.06",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.08",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.25",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 2.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 303.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 327.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 335.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="160.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="640.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="2560.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:time_to_first_token_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 115.4521017074585
|
||||
# HELP vllm:time_to_first_token_seconds_created Histogram of time to first token in seconds.
|
||||
# TYPE vllm:time_to_first_token_seconds_created gauge
|
||||
vllm:time_to_first_token_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892034025e+09
|
||||
# HELP vllm:inter_token_latency_seconds Histogram of inter-token latency in seconds.
|
||||
# TYPE vllm:inter_token_latency_seconds histogram
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 40831.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.025",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 82698.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.05",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 84107.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.075",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 84189.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 84190.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.15",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 84190.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.2",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 84373.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85851.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.4",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85851.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 85935.0
|
||||
vllm:inter_token_latency_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1308.0858185302932
|
||||
# HELP vllm:inter_token_latency_seconds_created Histogram of inter-token latency in seconds.
|
||||
# TYPE vllm:inter_token_latency_seconds_created gauge
|
||||
vllm:inter_token_latency_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892034075e+09
|
||||
# HELP vllm:request_time_per_output_token_seconds Histogram of time_per_output_token_seconds per request.
|
||||
# TYPE vllm:request_time_per_output_token_seconds histogram
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 58.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.025",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 328.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.05",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.075",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.15",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.2",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.4",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_time_per_output_token_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 5.129748307961927
|
||||
# HELP vllm:request_time_per_output_token_seconds_created Histogram of time_per_output_token_seconds per request.
|
||||
# TYPE vllm:request_time_per_output_token_seconds_created gauge
|
||||
vllm:request_time_per_output_token_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920341132e+09
|
||||
# HELP vllm:e2e_request_latency_seconds Histogram of e2e request latency in seconds.
|
||||
# TYPE vllm:e2e_request_latency_seconds histogram
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 12.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 32.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 230.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:e2e_request_latency_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1423.348400592804
|
||||
# HELP vllm:e2e_request_latency_seconds_created Histogram of e2e request latency in seconds.
|
||||
# TYPE vllm:e2e_request_latency_seconds_created gauge
|
||||
vllm:e2e_request_latency_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892034203e+09
|
||||
# HELP vllm:request_queue_time_seconds Histogram of time spent in WAITING phase for request.
|
||||
# TYPE vllm:request_queue_time_seconds histogram
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_queue_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.23973538324935362
|
||||
# HELP vllm:request_queue_time_seconds_created Histogram of time spent in WAITING phase for request.
|
||||
# TYPE vllm:request_queue_time_seconds_created gauge
|
||||
vllm:request_queue_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808892034244e+09
|
||||
# HELP vllm:request_inference_time_seconds Histogram of time spent in RUNNING phase for request.
|
||||
# TYPE vllm:request_inference_time_seconds histogram
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 13.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 35.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 233.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_inference_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1407.2252857190324
|
||||
# HELP vllm:request_inference_time_seconds_created Histogram of time spent in RUNNING phase for request.
|
||||
# TYPE vllm:request_inference_time_seconds_created gauge
|
||||
vllm:request_inference_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920342817e+09
|
||||
# HELP vllm:request_prefill_time_seconds Histogram of time spent in PREFILL phase for request.
|
||||
# TYPE vllm:request_prefill_time_seconds histogram
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 276.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 322.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 335.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 336.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 99.13946718873922
|
||||
# HELP vllm:request_prefill_time_seconds_created Histogram of time spent in PREFILL phase for request.
|
||||
# TYPE vllm:request_prefill_time_seconds_created gauge
|
||||
vllm:request_prefill_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920343258e+09
|
||||
# HELP vllm:request_decode_time_seconds Histogram of time spent in DECODE phase for request.
|
||||
# TYPE vllm:request_decode_time_seconds histogram
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 3.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 20.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 51.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 254.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_decode_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1308.0858185302932
|
||||
# HELP vllm:request_decode_time_seconds_created Histogram of time spent in DECODE phase for request.
|
||||
# TYPE vllm:request_decode_time_seconds_created gauge
|
||||
vllm:request_decode_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920343637e+09
|
||||
# HELP vllm:request_prefill_kv_computed_tokens Histogram of new KV tokens computed during prefill (excluding cached tokens).
|
||||
# TYPE vllm:request_prefill_kv_computed_tokens histogram
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 337.0
|
||||
vllm:request_prefill_kv_computed_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.344332e+06
|
||||
# HELP vllm:request_prefill_kv_computed_tokens_created Histogram of new KV tokens computed during prefill (excluding cached tokens).
|
||||
# TYPE vllm:request_prefill_kv_computed_tokens_created gauge
|
||||
vllm:request_prefill_kv_computed_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798088920344057e+09
|
||||
# HELP vllm:cache_config_info Information of the LLMEngine CacheConfig
|
||||
# TYPE vllm:cache_config_info gauge
|
||||
vllm:cache_config_info{_block_size_resolved="True",block_size="16",cache_dtype="auto",calculate_kv_scales="False",cpu_kvcache_space_bytes="None",enable_prefix_caching="True",engine="0",gpu_memory_utilization="0.9",is_attention_free="False",kv_cache_memory_bytes="None",kv_offloading_backend="native",kv_offloading_size="None",kv_sharing_fast_prefill="False",mamba_block_size="None",mamba_cache_dtype="auto",mamba_cache_mode="none",mamba_page_size_padded="None",mamba_ssm_cache_dtype="auto",num_cpu_blocks="None",num_gpu_blocks="17590",num_gpu_blocks_override="None",prefix_caching_hash_algo="sha256",sliding_window="None",user_specified_block_size="False"} 1.0
|
||||
# HELP http_requests_total Total number of requests by method, status and handler.
|
||||
# TYPE http_requests_total counter
|
||||
http_requests_total{handler="/v1/models",method="GET",status="2xx"} 1.0
|
||||
http_requests_total{handler="/v1/chat/completions",method="POST",status="2xx"} 337.0
|
||||
# HELP http_requests_created Total number of requests by method, status and handler.
|
||||
# TYPE http_requests_created gauge
|
||||
http_requests_created{handler="/v1/models",method="GET",status="2xx"} 1.7798088933366792e+09
|
||||
http_requests_created{handler="/v1/chat/completions",method="POST",status="2xx"} 1.779808896853593e+09
|
||||
# HELP http_request_size_bytes Content length of incoming requests by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_request_size_bytes summary
|
||||
http_request_size_bytes_count{handler="/v1/models"} 1.0
|
||||
http_request_size_bytes_sum{handler="/v1/models"} 0.0
|
||||
http_request_size_bytes_count{handler="/v1/chat/completions"} 337.0
|
||||
http_request_size_bytes_sum{handler="/v1/chat/completions"} 1.777338e+06
|
||||
# HELP http_request_size_bytes_created Content length of incoming requests by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_request_size_bytes_created gauge
|
||||
http_request_size_bytes_created{handler="/v1/models"} 1.77980889333671e+09
|
||||
http_request_size_bytes_created{handler="/v1/chat/completions"} 1.7798088968536212e+09
|
||||
# HELP http_response_size_bytes Content length of outgoing responses by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_response_size_bytes summary
|
||||
http_response_size_bytes_count{handler="/v1/models"} 1.0
|
||||
http_response_size_bytes_sum{handler="/v1/models"} 558.0
|
||||
http_response_size_bytes_count{handler="/v1/chat/completions"} 337.0
|
||||
http_response_size_bytes_sum{handler="/v1/chat/completions"} 0.0
|
||||
# HELP http_response_size_bytes_created Content length of outgoing responses by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_response_size_bytes_created gauge
|
||||
http_response_size_bytes_created{handler="/v1/models"} 1.7798088933367383e+09
|
||||
http_response_size_bytes_created{handler="/v1/chat/completions"} 1.779808896853654e+09
|
||||
# HELP http_request_duration_highr_seconds Latency with many buckets but no API specific labels. Made for more accurate percentile calculations.
|
||||
# TYPE http_request_duration_highr_seconds histogram
|
||||
http_request_duration_highr_seconds_bucket{le="0.01"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.025"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.05"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.075"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.1"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.25"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.5"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.75"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="1.0"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="1.5"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="2.0"} 13.0
|
||||
http_request_duration_highr_seconds_bucket{le="2.5"} 33.0
|
||||
http_request_duration_highr_seconds_bucket{le="3.0"} 66.0
|
||||
http_request_duration_highr_seconds_bucket{le="3.5"} 113.0
|
||||
http_request_duration_highr_seconds_bucket{le="4.0"} 164.0
|
||||
http_request_duration_highr_seconds_bucket{le="4.5"} 206.0
|
||||
http_request_duration_highr_seconds_bucket{le="5.0"} 231.0
|
||||
http_request_duration_highr_seconds_bucket{le="7.5"} 338.0
|
||||
http_request_duration_highr_seconds_bucket{le="10.0"} 338.0
|
||||
http_request_duration_highr_seconds_bucket{le="30.0"} 338.0
|
||||
http_request_duration_highr_seconds_bucket{le="60.0"} 338.0
|
||||
http_request_duration_highr_seconds_bucket{le="+Inf"} 338.0
|
||||
http_request_duration_highr_seconds_count 338.0
|
||||
http_request_duration_highr_seconds_sum 1423.86807049677
|
||||
# HELP http_request_duration_highr_seconds_created Latency with many buckets but no API specific labels. Made for more accurate percentile calculations.
|
||||
# TYPE http_request_duration_highr_seconds_created gauge
|
||||
http_request_duration_highr_seconds_created 1.7798088925083833e+09
|
||||
# HELP http_request_duration_seconds Latency with only few buckets by handler. Made to be only used if aggregation by handler is important.
|
||||
# TYPE http_request_duration_seconds histogram
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="0.1",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="0.5",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="1.0",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="+Inf",method="GET"} 1.0
|
||||
http_request_duration_seconds_count{handler="/v1/models",method="GET"} 1.0
|
||||
http_request_duration_seconds_sum{handler="/v1/models",method="GET"} 0.0025588699500076473
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="0.1",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="0.5",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="1.0",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="+Inf",method="POST"} 337.0
|
||||
http_request_duration_seconds_count{handler="/v1/chat/completions",method="POST"} 337.0
|
||||
http_request_duration_seconds_sum{handler="/v1/chat/completions",method="POST"} 1423.86551162682
|
||||
# HELP http_request_duration_seconds_created Latency with only few buckets by handler. Made to be only used if aggregation by handler is important.
|
||||
# TYPE http_request_duration_seconds_created gauge
|
||||
http_request_duration_seconds_created{handler="/v1/models",method="GET"} 1.7798088933367746e+09
|
||||
http_request_duration_seconds_created{handler="/v1/chat/completions",method="POST"} 1.77980889685369e+09
|
||||
@@ -0,0 +1,337 @@
|
||||
{"req_id": "aea2448b4a684f10", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378029226149444, "t_first_token_ns": 378030010080192, "t_last_token_ns": 378031839512347, "prompt_tokens": 3976, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "ba9a9c7670d9454b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378030111082182, "t_first_token_ns": 378030407369776, "t_last_token_ns": 378031970569180, "prompt_tokens": 3982, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "fb9d2dbe66964120", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378033073417506, "t_first_token_ns": 378033328926763, "t_last_token_ns": 378036549241190, "prompt_tokens": 4000, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "6be84ae0769740af", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378033160364166, "t_first_token_ns": 378033568087554, "t_last_token_ns": 378036566577848, "prompt_tokens": 4004, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "9cab1305fb0c422a", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378033835082314, "t_first_token_ns": 378034092419044, "t_last_token_ns": 378036946796591, "prompt_tokens": 3967, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "edabb47d8f8e419b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378033875528395, "t_first_token_ns": 378034325653535, "t_last_token_ns": 378036953161453, "prompt_tokens": 3980, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "005d455e32544dfc", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378034588824147, "t_first_token_ns": 378034853968395, "t_last_token_ns": 378037145884312, "prompt_tokens": 3988, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "f3b40c7777004be8", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378037391824422, "t_first_token_ns": 378037644412230, "t_last_token_ns": 378042872668974, "prompt_tokens": 3970, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "7a04a4b73e33472a", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378037728175713, "t_first_token_ns": 378037984323237, "t_last_token_ns": 378043182429564, "prompt_tokens": 3978, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "ac4ce66df1fd449e", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378037847354185, "t_first_token_ns": 378038223910380, "t_last_token_ns": 378043240656855, "prompt_tokens": 3988, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "19559520ef984c05", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378039021441830, "t_first_token_ns": 378039281073958, "t_last_token_ns": 378045233938165, "prompt_tokens": 3971, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "bb0c8fee32af4b81", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378039415646004, "t_first_token_ns": 378039679431648, "t_last_token_ns": 378046898600201, "prompt_tokens": 3993, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "8d3ff3e0ef044a7b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378039480232591, "t_first_token_ns": 378039922579284, "t_last_token_ns": 378046925916200, "prompt_tokens": 3941, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "7ef6bddca6984f3d", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378039706707539, "t_first_token_ns": 378040160089875, "t_last_token_ns": 378046940215026, "prompt_tokens": 4000, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "bf1f26989e784806", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378039967023843, "t_first_token_ns": 378040410163123, "t_last_token_ns": 378046969516402, "prompt_tokens": 4010, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "7a01c1bc84414273", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378040218722174, "t_first_token_ns": 378040704529245, "t_last_token_ns": 378046996862620, "prompt_tokens": 3964, "completion_tokens": 256, "inflight_at_send": 9, "error": null}
|
||||
{"req_id": "62f8ca63250c4a58", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378040554648726, "t_first_token_ns": 378040897672758, "t_last_token_ns": 378047010709830, "prompt_tokens": 3991, "completion_tokens": 256, "inflight_at_send": 10, "error": null}
|
||||
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|
||||
{"req_id": "5cbb70a1f31044bf", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378263770266110, "t_first_token_ns": 378264471504519, "t_last_token_ns": 378269030912431, "prompt_tokens": 3992, "completion_tokens": 256, "inflight_at_send": 10, "error": null}
|
||||
{"req_id": "d2fdd2ba87274d90", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378263908234141, "t_first_token_ns": 378264471597205, "t_last_token_ns": 378269031124259, "prompt_tokens": 3968, "completion_tokens": 256, "inflight_at_send": 11, "error": null}
|
||||
{"req_id": "79ac86da881a4d65", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378264275035747, "t_first_token_ns": 378264717966459, "t_last_token_ns": 378269049142048, "prompt_tokens": 3965, "completion_tokens": 256, "inflight_at_send": 12, "error": null}
|
||||
{"req_id": "dec24431eace4926", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378266899928606, "t_first_token_ns": 378267171241052, "t_last_token_ns": 378270873281151, "prompt_tokens": 4007, "completion_tokens": 256, "inflight_at_send": 9, "error": null}
|
||||
{"req_id": "fb5ba63e90684055", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378266966893832, "t_first_token_ns": 378267419041511, "t_last_token_ns": 378270890382792, "prompt_tokens": 3974, "completion_tokens": 256, "inflight_at_send": 10, "error": null}
|
||||
{"req_id": "b0137c20cdea43b8", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378267356267631, "t_first_token_ns": 378267667255317, "t_last_token_ns": 378270904360730, "prompt_tokens": 3958, "completion_tokens": 256, "inflight_at_send": 11, "error": null}
|
||||
{"req_id": "cdfb2a760c544e67", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378267973952018, "t_first_token_ns": 378268258823255, "t_last_token_ns": 378271055809523, "prompt_tokens": 4001, "completion_tokens": 256, "inflight_at_send": 12, "error": null}
|
||||
{"req_id": "07c3da02a5c84d7d", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 378268203965311, "t_first_token_ns": 378268512935241, "t_last_token_ns": 378271064033834, "prompt_tokens": 4019, "completion_tokens": 256, "inflight_at_send": 13, "error": null}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"rate": 1.5,
|
||||
"input_tokens": 4096,
|
||||
"output_tokens": 256,
|
||||
"duration_target_s": 240.0,
|
||||
"duration_actual_s": 242.16401139402296,
|
||||
"n_requests": 337
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,624 @@
|
||||
# HELP python_gc_objects_collected_total Objects collected during gc
|
||||
# TYPE python_gc_objects_collected_total counter
|
||||
python_gc_objects_collected_total{generation="0"} 11970.0
|
||||
python_gc_objects_collected_total{generation="1"} 1549.0
|
||||
python_gc_objects_collected_total{generation="2"} 855.0
|
||||
# HELP python_gc_objects_uncollectable_total Uncollectable objects found during GC
|
||||
# TYPE python_gc_objects_uncollectable_total counter
|
||||
python_gc_objects_uncollectable_total{generation="0"} 0.0
|
||||
python_gc_objects_uncollectable_total{generation="1"} 0.0
|
||||
python_gc_objects_uncollectable_total{generation="2"} 0.0
|
||||
# HELP python_gc_collections_total Number of times this generation was collected
|
||||
# TYPE python_gc_collections_total counter
|
||||
python_gc_collections_total{generation="0"} 1344.0
|
||||
python_gc_collections_total{generation="1"} 122.0
|
||||
python_gc_collections_total{generation="2"} 9.0
|
||||
# HELP python_info Python platform information
|
||||
# TYPE python_info gauge
|
||||
python_info{implementation="CPython",major="3",minor="12",patchlevel="3",version="3.12.3"} 1.0
|
||||
# HELP process_virtual_memory_bytes Virtual memory size in bytes.
|
||||
# TYPE process_virtual_memory_bytes gauge
|
||||
process_virtual_memory_bytes 3.8946234368e+010
|
||||
# HELP process_resident_memory_bytes Resident memory size in bytes.
|
||||
# TYPE process_resident_memory_bytes gauge
|
||||
process_resident_memory_bytes 1.349824512e+09
|
||||
# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.
|
||||
# TYPE process_start_time_seconds gauge
|
||||
process_start_time_seconds 1.77980843334e+09
|
||||
# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.
|
||||
# TYPE process_cpu_seconds_total counter
|
||||
process_cpu_seconds_total 40.91
|
||||
# HELP process_open_fds Number of open file descriptors.
|
||||
# TYPE process_open_fds gauge
|
||||
process_open_fds 64.0
|
||||
# HELP process_max_fds Maximum number of open file descriptors.
|
||||
# TYPE process_max_fds gauge
|
||||
process_max_fds 65535.0
|
||||
# HELP vllm:estimated_flops_per_gpu_total Estimated number of floating point operations per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_flops_per_gpu_total counter
|
||||
vllm:estimated_flops_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_flops_per_gpu_created Estimated number of floating point operations per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_flops_per_gpu_created gauge
|
||||
vllm:estimated_flops_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537012282e+09
|
||||
# HELP vllm:estimated_read_bytes_per_gpu_total Estimated number of bytes read from memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_read_bytes_per_gpu_total counter
|
||||
vllm:estimated_read_bytes_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_read_bytes_per_gpu_created Estimated number of bytes read from memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_read_bytes_per_gpu_created gauge
|
||||
vllm:estimated_read_bytes_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370123103e+09
|
||||
# HELP vllm:estimated_write_bytes_per_gpu_total Estimated number of bytes written to memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_write_bytes_per_gpu_total counter
|
||||
vllm:estimated_write_bytes_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_write_bytes_per_gpu_created Estimated number of bytes written to memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_write_bytes_per_gpu_created gauge
|
||||
vllm:estimated_write_bytes_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370123277e+09
|
||||
# HELP vllm:num_requests_running Number of requests in model execution batches.
|
||||
# TYPE vllm:num_requests_running gauge
|
||||
vllm:num_requests_running{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:num_requests_waiting Number of requests waiting to be processed.
|
||||
# TYPE vllm:num_requests_waiting gauge
|
||||
vllm:num_requests_waiting{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:engine_sleep_state Engine sleep state; awake = 0 means engine is sleeping; awake = 1 means engine is awake; weights_offloaded = 1 means sleep level 1; discard_all = 1 means sleep level 2.
|
||||
# TYPE vllm:engine_sleep_state gauge
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="awake"} 1.0
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="weights_offloaded"} 0.0
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="discard_all"} 0.0
|
||||
# HELP vllm:kv_cache_usage_perc KV-cache usage. 1 means 100 percent usage.
|
||||
# TYPE vllm:kv_cache_usage_perc gauge
|
||||
vllm:kv_cache_usage_perc{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prefix_cache_queries_total Prefix cache queries, in terms of number of queried tokens.
|
||||
# TYPE vllm:prefix_cache_queries_total counter
|
||||
vllm:prefix_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.444181e+06
|
||||
# HELP vllm:prefix_cache_queries_created Prefix cache queries, in terms of number of queried tokens.
|
||||
# TYPE vllm:prefix_cache_queries_created gauge
|
||||
vllm:prefix_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370124936e+09
|
||||
# HELP vllm:prefix_cache_hits_total Prefix cache hits, in terms of number of cached tokens.
|
||||
# TYPE vllm:prefix_cache_hits_total counter
|
||||
vllm:prefix_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prefix_cache_hits_created Prefix cache hits, in terms of number of cached tokens.
|
||||
# TYPE vllm:prefix_cache_hits_created gauge
|
||||
vllm:prefix_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370125084e+09
|
||||
# HELP vllm:external_prefix_cache_queries_total External prefix cache queries from KV connector cross-instance cache sharing, in terms of number of queried tokens.
|
||||
# TYPE vllm:external_prefix_cache_queries_total counter
|
||||
vllm:external_prefix_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.444181e+06
|
||||
# HELP vllm:external_prefix_cache_queries_created External prefix cache queries from KV connector cross-instance cache sharing, in terms of number of queried tokens.
|
||||
# TYPE vllm:external_prefix_cache_queries_created gauge
|
||||
vllm:external_prefix_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537012521e+09
|
||||
# HELP vllm:external_prefix_cache_hits_total External prefix cache hits from KV connector cross-instance cache sharing, in terms of number of cached tokens.
|
||||
# TYPE vllm:external_prefix_cache_hits_total counter
|
||||
vllm:external_prefix_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:external_prefix_cache_hits_created External prefix cache hits from KV connector cross-instance cache sharing, in terms of number of cached tokens.
|
||||
# TYPE vllm:external_prefix_cache_hits_created gauge
|
||||
vllm:external_prefix_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370125337e+09
|
||||
# HELP vllm:mm_cache_queries_total Multi-modal cache queries, in terms of number of queried items.
|
||||
# TYPE vllm:mm_cache_queries_total counter
|
||||
vllm:mm_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:mm_cache_queries_created Multi-modal cache queries, in terms of number of queried items.
|
||||
# TYPE vllm:mm_cache_queries_created gauge
|
||||
vllm:mm_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370125554e+09
|
||||
# HELP vllm:mm_cache_hits_total Multi-modal cache hits, in terms of number of cached items.
|
||||
# TYPE vllm:mm_cache_hits_total counter
|
||||
vllm:mm_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:mm_cache_hits_created Multi-modal cache hits, in terms of number of cached items.
|
||||
# TYPE vllm:mm_cache_hits_created gauge
|
||||
vllm:mm_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537012577e+09
|
||||
# HELP vllm:num_preemptions_total Cumulative number of preemption from the engine.
|
||||
# TYPE vllm:num_preemptions_total counter
|
||||
vllm:num_preemptions_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:num_preemptions_created Cumulative number of preemption from the engine.
|
||||
# TYPE vllm:num_preemptions_created gauge
|
||||
vllm:num_preemptions_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370125916e+09
|
||||
# HELP vllm:prompt_tokens_total Number of prefill tokens processed.
|
||||
# TYPE vllm:prompt_tokens_total counter
|
||||
vllm:prompt_tokens_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.444181e+06
|
||||
# HELP vllm:prompt_tokens_created Number of prefill tokens processed.
|
||||
# TYPE vllm:prompt_tokens_created gauge
|
||||
vllm:prompt_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370126052e+09
|
||||
# HELP vllm:prompt_tokens_by_source_total Number of prompt tokens by source.
|
||||
# TYPE vllm:prompt_tokens_by_source_total counter
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_compute"} 1.444181e+06
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_cache_hit"} 0.0
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="external_kv_transfer"} 0.0
|
||||
# HELP vllm:prompt_tokens_by_source_created Number of prompt tokens by source.
|
||||
# TYPE vllm:prompt_tokens_by_source_created gauge
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_compute"} 1.7798085370126219e+09
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_cache_hit"} 1.779808537012627e+09
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="external_kv_transfer"} 1.7798085370126324e+09
|
||||
# HELP vllm:prompt_tokens_cached_total Number of cached prompt tokens (local + external).
|
||||
# TYPE vllm:prompt_tokens_cached_total counter
|
||||
vllm:prompt_tokens_cached_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prompt_tokens_cached_created Number of cached prompt tokens (local + external).
|
||||
# TYPE vllm:prompt_tokens_cached_created gauge
|
||||
vllm:prompt_tokens_cached_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370126455e+09
|
||||
# HELP vllm:prompt_tokens_recomputed_total Number of cached tokens recomputed for forward pass.
|
||||
# TYPE vllm:prompt_tokens_recomputed_total counter
|
||||
vllm:prompt_tokens_recomputed_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prompt_tokens_recomputed_created Number of cached tokens recomputed for forward pass.
|
||||
# TYPE vllm:prompt_tokens_recomputed_created gauge
|
||||
vllm:prompt_tokens_recomputed_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370126567e+09
|
||||
# HELP vllm:generation_tokens_total Number of generation tokens processed.
|
||||
# TYPE vllm:generation_tokens_total counter
|
||||
vllm:generation_tokens_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92672.0
|
||||
# HELP vllm:generation_tokens_created Number of generation tokens processed.
|
||||
# TYPE vllm:generation_tokens_created gauge
|
||||
vllm:generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537012669e+09
|
||||
# HELP vllm:request_success_total Count of successfully processed requests.
|
||||
# TYPE vllm:request_success_total counter
|
||||
vllm:request_success_total{engine="0",finished_reason="stop",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="length",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_success_total{engine="0",finished_reason="abort",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="error",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="repetition",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:request_success_created Count of successfully processed requests.
|
||||
# TYPE vllm:request_success_created gauge
|
||||
vllm:request_success_created{engine="0",finished_reason="stop",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537012699e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="length",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370127063e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="abort",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370127132e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="error",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370127187e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="repetition",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370127244e+09
|
||||
# HELP vllm:request_prompt_tokens Number of prefill tokens processed.
|
||||
# TYPE vllm:request_prompt_tokens histogram
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prompt_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.444181e+06
|
||||
# HELP vllm:request_prompt_tokens_created Number of prefill tokens processed.
|
||||
# TYPE vllm:request_prompt_tokens_created gauge
|
||||
vllm:request_prompt_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370127792e+09
|
||||
# HELP vllm:request_generation_tokens Number of generation tokens processed.
|
||||
# TYPE vllm:request_generation_tokens histogram
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_generation_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92672.0
|
||||
# HELP vllm:request_generation_tokens_created Number of generation tokens processed.
|
||||
# TYPE vllm:request_generation_tokens_created gauge
|
||||
vllm:request_generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370128436e+09
|
||||
# HELP vllm:iteration_tokens_total Histogram of number of tokens per engine_step.
|
||||
# TYPE vllm:iteration_tokens_total histogram
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 2330.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="8.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 12556.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="16.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15964.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="32.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16256.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="64.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16256.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="128.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16256.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="256.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16256.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="512.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16256.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="1024.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16256.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="2048.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16256.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="4096.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16572.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="8192.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16595.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="16384.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16595.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16595.0
|
||||
vllm:iteration_tokens_total_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16595.0
|
||||
vllm:iteration_tokens_total_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.536853e+06
|
||||
# HELP vllm:iteration_tokens_total_created Histogram of number of tokens per engine_step.
|
||||
# TYPE vllm:iteration_tokens_total_created gauge
|
||||
vllm:iteration_tokens_total_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537012879e+09
|
||||
# HELP vllm:request_max_num_generation_tokens Histogram of maximum number of requested generation tokens.
|
||||
# TYPE vllm:request_max_num_generation_tokens histogram
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_max_num_generation_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92672.0
|
||||
# HELP vllm:request_max_num_generation_tokens_created Histogram of maximum number of requested generation tokens.
|
||||
# TYPE vllm:request_max_num_generation_tokens_created gauge
|
||||
vllm:request_max_num_generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370129192e+09
|
||||
# HELP vllm:request_params_n Histogram of the n request parameter.
|
||||
# TYPE vllm:request_params_n histogram
|
||||
vllm:request_params_n_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_n_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_n_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_n_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_n_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_n_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_n_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_n_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
# HELP vllm:request_params_n_created Histogram of the n request parameter.
|
||||
# TYPE vllm:request_params_n_created gauge
|
||||
vllm:request_params_n_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537012967e+09
|
||||
# HELP vllm:request_params_max_tokens Histogram of the max_tokens request parameter.
|
||||
# TYPE vllm:request_params_max_tokens histogram
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_params_max_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92672.0
|
||||
# HELP vllm:request_params_max_tokens_created Histogram of the max_tokens request parameter.
|
||||
# TYPE vllm:request_params_max_tokens_created gauge
|
||||
vllm:request_params_max_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370129972e+09
|
||||
# HELP vllm:time_to_first_token_seconds Histogram of time to first token in seconds.
|
||||
# TYPE vllm:time_to_first_token_seconds histogram
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.001",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.005",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.02",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.04",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.06",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.08",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.25",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 11.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 312.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 356.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="160.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="640.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="2560.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 126.39743399620056
|
||||
# HELP vllm:time_to_first_token_seconds_created Histogram of time to first token in seconds.
|
||||
# TYPE vllm:time_to_first_token_seconds_created gauge
|
||||
vllm:time_to_first_token_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370130339e+09
|
||||
# HELP vllm:inter_token_latency_seconds Histogram of inter-token latency in seconds.
|
||||
# TYPE vllm:inter_token_latency_seconds histogram
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 29463.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.025",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 88034.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.05",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 89987.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.075",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 90034.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 90034.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.15",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 90034.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.2",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 90149.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92128.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.4",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92128.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92310.0
|
||||
vllm:inter_token_latency_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1626.6343603626592
|
||||
# HELP vllm:inter_token_latency_seconds_created Histogram of inter-token latency in seconds.
|
||||
# TYPE vllm:inter_token_latency_seconds_created gauge
|
||||
vllm:inter_token_latency_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537013079e+09
|
||||
# HELP vllm:request_time_per_output_token_seconds Histogram of time_per_output_token_seconds per request.
|
||||
# TYPE vllm:request_time_per_output_token_seconds histogram
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 45.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.025",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 316.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.05",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.075",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.15",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.2",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.4",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_time_per_output_token_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 6.378958275931998
|
||||
# HELP vllm:request_time_per_output_token_seconds_created Histogram of time_per_output_token_seconds per request.
|
||||
# TYPE vllm:request_time_per_output_token_seconds_created gauge
|
||||
vllm:request_time_per_output_token_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370131166e+09
|
||||
# HELP vllm:e2e_request_latency_seconds Histogram of e2e request latency in seconds.
|
||||
# TYPE vllm:e2e_request_latency_seconds histogram
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 3.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 11.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 24.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 195.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:e2e_request_latency_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1752.9047212600708
|
||||
# HELP vllm:e2e_request_latency_seconds_created Histogram of e2e request latency in seconds.
|
||||
# TYPE vllm:e2e_request_latency_seconds_created gauge
|
||||
vllm:e2e_request_latency_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370142846e+09
|
||||
# HELP vllm:request_queue_time_seconds Histogram of time spent in WAITING phase for request.
|
||||
# TYPE vllm:request_queue_time_seconds histogram
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_queue_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0027433858485892415
|
||||
# HELP vllm:request_queue_time_seconds_created Histogram of time spent in WAITING phase for request.
|
||||
# TYPE vllm:request_queue_time_seconds_created gauge
|
||||
vllm:request_queue_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808537014356e+09
|
||||
# HELP vllm:request_inference_time_seconds Histogram of time spent in RUNNING phase for request.
|
||||
# TYPE vllm:request_inference_time_seconds histogram
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 3.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 12.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 27.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 200.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_inference_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1733.5705015579006
|
||||
# HELP vllm:request_inference_time_seconds_created Histogram of time spent in RUNNING phase for request.
|
||||
# TYPE vllm:request_inference_time_seconds_created gauge
|
||||
vllm:request_inference_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370144022e+09
|
||||
# HELP vllm:request_prefill_time_seconds Histogram of time spent in PREFILL phase for request.
|
||||
# TYPE vllm:request_prefill_time_seconds histogram
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 288.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 351.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 106.93614119524136
|
||||
# HELP vllm:request_prefill_time_seconds_created Histogram of time spent in PREFILL phase for request.
|
||||
# TYPE vllm:request_prefill_time_seconds_created gauge
|
||||
vllm:request_prefill_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370144622e+09
|
||||
# HELP vllm:request_decode_time_seconds Histogram of time spent in DECODE phase for request.
|
||||
# TYPE vllm:request_decode_time_seconds histogram
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 6.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 42.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 221.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_decode_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1626.6343603626592
|
||||
# HELP vllm:request_decode_time_seconds_created Histogram of time spent in DECODE phase for request.
|
||||
# TYPE vllm:request_decode_time_seconds_created gauge
|
||||
vllm:request_decode_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370145073e+09
|
||||
# HELP vllm:request_prefill_kv_computed_tokens Histogram of new KV tokens computed during prefill (excluding cached tokens).
|
||||
# TYPE vllm:request_prefill_kv_computed_tokens histogram
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:request_prefill_kv_computed_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.444181e+06
|
||||
# HELP vllm:request_prefill_kv_computed_tokens_created Histogram of new KV tokens computed during prefill (excluding cached tokens).
|
||||
# TYPE vllm:request_prefill_kv_computed_tokens_created gauge
|
||||
vllm:request_prefill_kv_computed_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798085370145638e+09
|
||||
# HELP vllm:cache_config_info Information of the LLMEngine CacheConfig
|
||||
# TYPE vllm:cache_config_info gauge
|
||||
vllm:cache_config_info{_block_size_resolved="True",block_size="16",cache_dtype="auto",calculate_kv_scales="False",cpu_kvcache_space_bytes="None",enable_prefix_caching="True",engine="0",gpu_memory_utilization="0.9",is_attention_free="False",kv_cache_memory_bytes="None",kv_offloading_backend="native",kv_offloading_size="None",kv_sharing_fast_prefill="False",mamba_block_size="None",mamba_cache_dtype="auto",mamba_cache_mode="none",mamba_page_size_padded="None",mamba_ssm_cache_dtype="auto",num_cpu_blocks="None",num_gpu_blocks="17590",num_gpu_blocks_override="None",prefix_caching_hash_algo="sha256",sliding_window="None",user_specified_block_size="False"} 1.0
|
||||
# HELP http_requests_total Total number of requests by method, status and handler.
|
||||
# TYPE http_requests_total counter
|
||||
http_requests_total{handler="/v1/models",method="GET",status="2xx"} 1.0
|
||||
http_requests_total{handler="/v1/chat/completions",method="POST",status="2xx"} 362.0
|
||||
# HELP http_requests_created Total number of requests by method, status and handler.
|
||||
# TYPE http_requests_created gauge
|
||||
http_requests_created{handler="/v1/models",method="GET",status="2xx"} 1.7798085390617669e+09
|
||||
http_requests_created{handler="/v1/chat/completions",method="POST",status="2xx"} 1.7798085444920475e+09
|
||||
# HELP http_request_size_bytes Content length of incoming requests by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_request_size_bytes summary
|
||||
http_request_size_bytes_count{handler="/v1/models"} 1.0
|
||||
http_request_size_bytes_sum{handler="/v1/models"} 0.0
|
||||
http_request_size_bytes_count{handler="/v1/chat/completions"} 362.0
|
||||
http_request_size_bytes_sum{handler="/v1/chat/completions"} 1.909188e+06
|
||||
# HELP http_request_size_bytes_created Content length of incoming requests by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_request_size_bytes_created gauge
|
||||
http_request_size_bytes_created{handler="/v1/models"} 1.7798085390617936e+09
|
||||
http_request_size_bytes_created{handler="/v1/chat/completions"} 1.7798085444920697e+09
|
||||
# HELP http_response_size_bytes Content length of outgoing responses by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_response_size_bytes summary
|
||||
http_response_size_bytes_count{handler="/v1/models"} 1.0
|
||||
http_response_size_bytes_sum{handler="/v1/models"} 558.0
|
||||
http_response_size_bytes_count{handler="/v1/chat/completions"} 362.0
|
||||
http_response_size_bytes_sum{handler="/v1/chat/completions"} 0.0
|
||||
# HELP http_response_size_bytes_created Content length of outgoing responses by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_response_size_bytes_created gauge
|
||||
http_response_size_bytes_created{handler="/v1/models"} 1.7798085390618207e+09
|
||||
http_response_size_bytes_created{handler="/v1/chat/completions"} 1.779808544492094e+09
|
||||
# HELP http_request_duration_highr_seconds Latency with many buckets but no API specific labels. Made for more accurate percentile calculations.
|
||||
# TYPE http_request_duration_highr_seconds histogram
|
||||
http_request_duration_highr_seconds_bucket{le="0.01"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.025"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.05"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.075"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.1"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.25"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.5"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.75"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="1.0"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="1.5"} 4.0
|
||||
http_request_duration_highr_seconds_bucket{le="2.0"} 12.0
|
||||
http_request_duration_highr_seconds_bucket{le="2.5"} 25.0
|
||||
http_request_duration_highr_seconds_bucket{le="3.0"} 57.0
|
||||
http_request_duration_highr_seconds_bucket{le="3.5"} 92.0
|
||||
http_request_duration_highr_seconds_bucket{le="4.0"} 108.0
|
||||
http_request_duration_highr_seconds_bucket{le="4.5"} 151.0
|
||||
http_request_duration_highr_seconds_bucket{le="5.0"} 196.0
|
||||
http_request_duration_highr_seconds_bucket{le="7.5"} 349.0
|
||||
http_request_duration_highr_seconds_bucket{le="10.0"} 363.0
|
||||
http_request_duration_highr_seconds_bucket{le="30.0"} 363.0
|
||||
http_request_duration_highr_seconds_bucket{le="60.0"} 363.0
|
||||
http_request_duration_highr_seconds_bucket{le="+Inf"} 363.0
|
||||
http_request_duration_highr_seconds_count 363.0
|
||||
http_request_duration_highr_seconds_sum 1753.430982518359
|
||||
# HELP http_request_duration_highr_seconds_created Latency with many buckets but no API specific labels. Made for more accurate percentile calculations.
|
||||
# TYPE http_request_duration_highr_seconds_created gauge
|
||||
http_request_duration_highr_seconds_created 1.7798085375314133e+09
|
||||
# HELP http_request_duration_seconds Latency with only few buckets by handler. Made to be only used if aggregation by handler is important.
|
||||
# TYPE http_request_duration_seconds histogram
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="0.1",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="0.5",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="1.0",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="+Inf",method="GET"} 1.0
|
||||
http_request_duration_seconds_count{handler="/v1/models",method="GET"} 1.0
|
||||
http_request_duration_seconds_sum{handler="/v1/models",method="GET"} 0.0023236559936776757
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="0.1",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="0.5",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="1.0",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="+Inf",method="POST"} 362.0
|
||||
http_request_duration_seconds_count{handler="/v1/chat/completions",method="POST"} 362.0
|
||||
http_request_duration_seconds_sum{handler="/v1/chat/completions",method="POST"} 1753.4286588623654
|
||||
# HELP http_request_duration_seconds_created Latency with only few buckets by handler. Made to be only used if aggregation by handler is important.
|
||||
# TYPE http_request_duration_seconds_created gauge
|
||||
http_request_duration_seconds_created{handler="/v1/models",method="GET"} 1.7798085390618532e+09
|
||||
http_request_duration_seconds_created{handler="/v1/chat/completions",method="POST"} 1.7798085444921227e+09
|
||||
@@ -0,0 +1,362 @@
|
||||
{"req_id": "9a98116bc3b4444b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377675101705638, "t_first_token_ns": 377675942906368, "t_last_token_ns": 377679478305026, "prompt_tokens": 3983, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "048e018bafbc4d85", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377676149114603, "t_first_token_ns": 377676405014768, "t_last_token_ns": 377680423248646, "prompt_tokens": 3964, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "d1eb2195da0d4bbc", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377676358707491, "t_first_token_ns": 377676645092254, "t_last_token_ns": 377680481089501, "prompt_tokens": 4000, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "1f2bff69e5bd4dbf", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377676756303839, "t_first_token_ns": 377677014996055, "t_last_token_ns": 377681119322455, "prompt_tokens": 4001, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "6d12050111934bbb", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377677735398924, "t_first_token_ns": 377678001902315, "t_last_token_ns": 377682234909754, "prompt_tokens": 4005, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "f6d3be00d4684851", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377677850760922, "t_first_token_ns": 377678248213107, "t_last_token_ns": 377682254444772, "prompt_tokens": 4006, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "4f4166f860dc42ad", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377678687005559, "t_first_token_ns": 377678960201648, "t_last_token_ns": 377683425343956, "prompt_tokens": 4035, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "d014838e06e74e28", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377679587308337, "t_first_token_ns": 377679852452788, "t_last_token_ns": 377684126823290, "prompt_tokens": 3994, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "d744eab2769b440e", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377679903590469, "t_first_token_ns": 377680169641125, "t_last_token_ns": 377684204514144, "prompt_tokens": 3969, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "57732b474a3f4eea", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377680411449720, "t_first_token_ns": 377680692790835, "t_last_token_ns": 377684919669700, "prompt_tokens": 3997, "completion_tokens": 256, "inflight_at_send": 9, "error": null}
|
||||
{"req_id": "f5e6489641524c36", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377680713770111, "t_first_token_ns": 377680986895109, "t_last_token_ns": 377685434451467, "prompt_tokens": 3974, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "e3117a494a384791", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377682657803797, "t_first_token_ns": 377682922041690, "t_last_token_ns": 377687501403184, "prompt_tokens": 3962, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "ec90926659a5417b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377682751804758, "t_first_token_ns": 377683165079937, "t_last_token_ns": 377687523267558, "prompt_tokens": 3960, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "ef4e7c5f961c4d5b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377682916882743, "t_first_token_ns": 377683402270467, "t_last_token_ns": 377687532425253, "prompt_tokens": 3990, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "cdfe6aee5cc8429f", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377684406301244, "t_first_token_ns": 377684671341118, "t_last_token_ns": 377688893940629, "prompt_tokens": 3968, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "f4e22a054de74397", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377684511116608, "t_first_token_ns": 377684919972966, "t_last_token_ns": 377688914634746, "prompt_tokens": 4004, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "2fb4f772eec447ca", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377684755101818, "t_first_token_ns": 377685166028775, "t_last_token_ns": 377688934536227, "prompt_tokens": 3970, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "b235b96d8dfb4de8", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377684998215054, "t_first_token_ns": 377685414770343, "t_last_token_ns": 377689180541980, "prompt_tokens": 3996, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "f69fe4f4b26844aa", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377687150092316, "t_first_token_ns": 377687425645845, "t_last_token_ns": 377691989215170, "prompt_tokens": 4026, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "5c74feea17114ae8", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377687758347952, "t_first_token_ns": 377688023618159, "t_last_token_ns": 377692403732970, "prompt_tokens": 3959, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "a8ba046faf0c45b3", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377688539153296, "t_first_token_ns": 377688801025685, "t_last_token_ns": 377693345080498, "prompt_tokens": 3998, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "7731f895c40843a3", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377688913878467, "t_first_token_ns": 377689180755573, "t_last_token_ns": 377693511285253, "prompt_tokens": 4002, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "b09ddbd37e754d84", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377688965171405, "t_first_token_ns": 377689424759841, "t_last_token_ns": 377693520896242, "prompt_tokens": 4036, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "ce08aacc97c04987", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377689401590621, "t_first_token_ns": 377689670329880, "t_last_token_ns": 377693540637489, "prompt_tokens": 3978, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "70b5076519b940ac", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377689426076240, "t_first_token_ns": 377689907375878, "t_last_token_ns": 377693549051286, "prompt_tokens": 4009, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "08d01c32ab0141bb", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377689520480170, "t_first_token_ns": 377690146094482, "t_last_token_ns": 377693556459634, "prompt_tokens": 4009, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "8dd3c785bbdd41e8", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377691594995825, "t_first_token_ns": 377691868761229, "t_last_token_ns": 377694913191965, "prompt_tokens": 4029, "completion_tokens": 256, "inflight_at_send": 9, "error": null}
|
||||
{"req_id": "1a7d1958dbe54414", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377693026867672, "t_first_token_ns": 377693299771473, "t_last_token_ns": 377696512019209, "prompt_tokens": 3986, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "8607cf75ff51407f", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377694049296021, "t_first_token_ns": 377694308373482, "t_last_token_ns": 377698516567090, "prompt_tokens": 3980, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "7e854e2109354740", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377694288065274, "t_first_token_ns": 377694550145312, "t_last_token_ns": 377698983334074, "prompt_tokens": 3969, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "1da581798cd348ac", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377695190658465, "t_first_token_ns": 377695457772827, "t_last_token_ns": 377701092667080, "prompt_tokens": 4018, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "1faea9ad34e845ea", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377695333809928, "t_first_token_ns": 377695700667868, "t_last_token_ns": 377701120429123, "prompt_tokens": 3992, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "43b77e5a52774e18", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377696165197910, "t_first_token_ns": 377696435191266, "t_last_token_ns": 377702044953056, "prompt_tokens": 4010, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
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"step_duration_us_p50": 136,
|
||||
"step_duration_us_p90": 163,
|
||||
"build_meta_us_p50": 0,
|
||||
"build_meta_us_p90": 0
|
||||
},
|
||||
{
|
||||
"bin_id": 9,
|
||||
"cache_size_mid": 16652.55,
|
||||
"n": 12973,
|
||||
"cache_size_p50": 17527,
|
||||
"step_duration_us_p50": 84,
|
||||
"step_duration_us_p90": 141,
|
||||
"build_meta_us_p50": 0,
|
||||
"build_meta_us_p90": 0
|
||||
}
|
||||
],
|
||||
"fit_step_duration": {
|
||||
"slope_us_per_block": 0.0010177705924683715,
|
||||
"intercept_us": 74.7264113650295
|
||||
},
|
||||
"fit_build_meta": {
|
||||
"slope_us_per_block": 0.0,
|
||||
"intercept_us": 0.0
|
||||
},
|
||||
"worker_summary": null
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,624 @@
|
||||
# HELP python_gc_objects_collected_total Objects collected during gc
|
||||
# TYPE python_gc_objects_collected_total counter
|
||||
python_gc_objects_collected_total{generation="0"} 11967.0
|
||||
python_gc_objects_collected_total{generation="1"} 1552.0
|
||||
python_gc_objects_collected_total{generation="2"} 855.0
|
||||
# HELP python_gc_objects_uncollectable_total Uncollectable objects found during GC
|
||||
# TYPE python_gc_objects_uncollectable_total counter
|
||||
python_gc_objects_uncollectable_total{generation="0"} 0.0
|
||||
python_gc_objects_uncollectable_total{generation="1"} 0.0
|
||||
python_gc_objects_uncollectable_total{generation="2"} 0.0
|
||||
# HELP python_gc_collections_total Number of times this generation was collected
|
||||
# TYPE python_gc_collections_total counter
|
||||
python_gc_collections_total{generation="0"} 1341.0
|
||||
python_gc_collections_total{generation="1"} 121.0
|
||||
python_gc_collections_total{generation="2"} 9.0
|
||||
# HELP python_info Python platform information
|
||||
# TYPE python_info gauge
|
||||
python_info{implementation="CPython",major="3",minor="12",patchlevel="3",version="3.12.3"} 1.0
|
||||
# HELP process_virtual_memory_bytes Virtual memory size in bytes.
|
||||
# TYPE process_virtual_memory_bytes gauge
|
||||
process_virtual_memory_bytes 3.8945837056e+010
|
||||
# HELP process_resident_memory_bytes Resident memory size in bytes.
|
||||
# TYPE process_resident_memory_bytes gauge
|
||||
process_resident_memory_bytes 1.350602752e+09
|
||||
# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.
|
||||
# TYPE process_start_time_seconds gauge
|
||||
process_start_time_seconds 1.77980807988e+09
|
||||
# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.
|
||||
# TYPE process_cpu_seconds_total counter
|
||||
process_cpu_seconds_total 41.7
|
||||
# HELP process_open_fds Number of open file descriptors.
|
||||
# TYPE process_open_fds gauge
|
||||
process_open_fds 64.0
|
||||
# HELP process_max_fds Maximum number of open file descriptors.
|
||||
# TYPE process_max_fds gauge
|
||||
process_max_fds 65535.0
|
||||
# HELP vllm:estimated_flops_per_gpu_total Estimated number of floating point operations per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_flops_per_gpu_total counter
|
||||
vllm:estimated_flops_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_flops_per_gpu_created Estimated number of floating point operations per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_flops_per_gpu_created gauge
|
||||
vllm:estimated_flops_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808185822307e+09
|
||||
# HELP vllm:estimated_read_bytes_per_gpu_total Estimated number of bytes read from memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_read_bytes_per_gpu_total counter
|
||||
vllm:estimated_read_bytes_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_read_bytes_per_gpu_created Estimated number of bytes read from memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_read_bytes_per_gpu_created gauge
|
||||
vllm:estimated_read_bytes_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858223376e+09
|
||||
# HELP vllm:estimated_write_bytes_per_gpu_total Estimated number of bytes written to memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_write_bytes_per_gpu_total counter
|
||||
vllm:estimated_write_bytes_per_gpu_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:estimated_write_bytes_per_gpu_created Estimated number of bytes written to memory per GPU (for Model Flops Utilization calculations).
|
||||
# TYPE vllm:estimated_write_bytes_per_gpu_created gauge
|
||||
vllm:estimated_write_bytes_per_gpu_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858223584e+09
|
||||
# HELP vllm:num_requests_running Number of requests in model execution batches.
|
||||
# TYPE vllm:num_requests_running gauge
|
||||
vllm:num_requests_running{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:num_requests_waiting Number of requests waiting to be processed.
|
||||
# TYPE vllm:num_requests_waiting gauge
|
||||
vllm:num_requests_waiting{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:engine_sleep_state Engine sleep state; awake = 0 means engine is sleeping; awake = 1 means engine is awake; weights_offloaded = 1 means sleep level 1; discard_all = 1 means sleep level 2.
|
||||
# TYPE vllm:engine_sleep_state gauge
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="awake"} 1.0
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="weights_offloaded"} 0.0
|
||||
vllm:engine_sleep_state{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",sleep_state="discard_all"} 0.0
|
||||
# HELP vllm:kv_cache_usage_perc KV-cache usage. 1 means 100 percent usage.
|
||||
# TYPE vllm:kv_cache_usage_perc gauge
|
||||
vllm:kv_cache_usage_perc{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prefix_cache_queries_total Prefix cache queries, in terms of number of queried tokens.
|
||||
# TYPE vllm:prefix_cache_queries_total counter
|
||||
vllm:prefix_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.483835e+06
|
||||
# HELP vllm:prefix_cache_queries_created Prefix cache queries, in terms of number of queried tokens.
|
||||
# TYPE vllm:prefix_cache_queries_created gauge
|
||||
vllm:prefix_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808185822533e+09
|
||||
# HELP vllm:prefix_cache_hits_total Prefix cache hits, in terms of number of cached tokens.
|
||||
# TYPE vllm:prefix_cache_hits_total counter
|
||||
vllm:prefix_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prefix_cache_hits_created Prefix cache hits, in terms of number of cached tokens.
|
||||
# TYPE vllm:prefix_cache_hits_created gauge
|
||||
vllm:prefix_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858225553e+09
|
||||
# HELP vllm:external_prefix_cache_queries_total External prefix cache queries from KV connector cross-instance cache sharing, in terms of number of queried tokens.
|
||||
# TYPE vllm:external_prefix_cache_queries_total counter
|
||||
vllm:external_prefix_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:external_prefix_cache_queries_created External prefix cache queries from KV connector cross-instance cache sharing, in terms of number of queried tokens.
|
||||
# TYPE vllm:external_prefix_cache_queries_created gauge
|
||||
vllm:external_prefix_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808185822571e+09
|
||||
# HELP vllm:external_prefix_cache_hits_total External prefix cache hits from KV connector cross-instance cache sharing, in terms of number of cached tokens.
|
||||
# TYPE vllm:external_prefix_cache_hits_total counter
|
||||
vllm:external_prefix_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:external_prefix_cache_hits_created External prefix cache hits from KV connector cross-instance cache sharing, in terms of number of cached tokens.
|
||||
# TYPE vllm:external_prefix_cache_hits_created gauge
|
||||
vllm:external_prefix_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858225827e+09
|
||||
# HELP vllm:mm_cache_queries_total Multi-modal cache queries, in terms of number of queried items.
|
||||
# TYPE vllm:mm_cache_queries_total counter
|
||||
vllm:mm_cache_queries_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:mm_cache_queries_created Multi-modal cache queries, in terms of number of queried items.
|
||||
# TYPE vllm:mm_cache_queries_created gauge
|
||||
vllm:mm_cache_queries_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858225946e+09
|
||||
# HELP vllm:mm_cache_hits_total Multi-modal cache hits, in terms of number of cached items.
|
||||
# TYPE vllm:mm_cache_hits_total counter
|
||||
vllm:mm_cache_hits_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:mm_cache_hits_created Multi-modal cache hits, in terms of number of cached items.
|
||||
# TYPE vllm:mm_cache_hits_created gauge
|
||||
vllm:mm_cache_hits_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858226066e+09
|
||||
# HELP vllm:num_preemptions_total Cumulative number of preemption from the engine.
|
||||
# TYPE vllm:num_preemptions_total counter
|
||||
vllm:num_preemptions_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:num_preemptions_created Cumulative number of preemption from the engine.
|
||||
# TYPE vllm:num_preemptions_created gauge
|
||||
vllm:num_preemptions_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858226185e+09
|
||||
# HELP vllm:prompt_tokens_total Number of prefill tokens processed.
|
||||
# TYPE vllm:prompt_tokens_total counter
|
||||
vllm:prompt_tokens_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.483835e+06
|
||||
# HELP vllm:prompt_tokens_created Number of prefill tokens processed.
|
||||
# TYPE vllm:prompt_tokens_created gauge
|
||||
vllm:prompt_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858226302e+09
|
||||
# HELP vllm:prompt_tokens_by_source_total Number of prompt tokens by source.
|
||||
# TYPE vllm:prompt_tokens_by_source_total counter
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_compute"} 1.483835e+06
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_cache_hit"} 0.0
|
||||
vllm:prompt_tokens_by_source_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="external_kv_transfer"} 0.0
|
||||
# HELP vllm:prompt_tokens_by_source_created Number of prompt tokens by source.
|
||||
# TYPE vllm:prompt_tokens_by_source_created gauge
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_compute"} 1.779808185822646e+09
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="local_cache_hit"} 1.7798081858226511e+09
|
||||
vllm:prompt_tokens_by_source_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct",source="external_kv_transfer"} 1.7798081858226562e+09
|
||||
# HELP vllm:prompt_tokens_cached_total Number of cached prompt tokens (local + external).
|
||||
# TYPE vllm:prompt_tokens_cached_total counter
|
||||
vllm:prompt_tokens_cached_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prompt_tokens_cached_created Number of cached prompt tokens (local + external).
|
||||
# TYPE vllm:prompt_tokens_cached_created gauge
|
||||
vllm:prompt_tokens_cached_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858226674e+09
|
||||
# HELP vllm:prompt_tokens_recomputed_total Number of cached tokens recomputed for forward pass.
|
||||
# TYPE vllm:prompt_tokens_recomputed_total counter
|
||||
vllm:prompt_tokens_recomputed_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:prompt_tokens_recomputed_created Number of cached tokens recomputed for forward pass.
|
||||
# TYPE vllm:prompt_tokens_recomputed_created gauge
|
||||
vllm:prompt_tokens_recomputed_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858226821e+09
|
||||
# HELP vllm:generation_tokens_total Number of generation tokens processed.
|
||||
# TYPE vllm:generation_tokens_total counter
|
||||
vllm:generation_tokens_total{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 95232.0
|
||||
# HELP vllm:generation_tokens_created Number of generation tokens processed.
|
||||
# TYPE vllm:generation_tokens_created gauge
|
||||
vllm:generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858226945e+09
|
||||
# HELP vllm:request_success_total Count of successfully processed requests.
|
||||
# TYPE vllm:request_success_total counter
|
||||
vllm:request_success_total{engine="0",finished_reason="stop",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="length",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_success_total{engine="0",finished_reason="abort",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="error",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_success_total{engine="0",finished_reason="repetition",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
# HELP vllm:request_success_created Count of successfully processed requests.
|
||||
# TYPE vllm:request_success_created gauge
|
||||
vllm:request_success_created{engine="0",finished_reason="stop",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858227305e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="length",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858227377e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="abort",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858227463e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="error",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858227522e+09
|
||||
vllm:request_success_created{engine="0",finished_reason="repetition",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808185822759e+09
|
||||
# HELP vllm:request_prompt_tokens Number of prefill tokens processed.
|
||||
# TYPE vllm:request_prompt_tokens histogram
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prompt_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.483835e+06
|
||||
# HELP vllm:request_prompt_tokens_created Number of prefill tokens processed.
|
||||
# TYPE vllm:request_prompt_tokens_created gauge
|
||||
vllm:request_prompt_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858228157e+09
|
||||
# HELP vllm:request_generation_tokens Number of generation tokens processed.
|
||||
# TYPE vllm:request_generation_tokens histogram
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_generation_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 95232.0
|
||||
# HELP vllm:request_generation_tokens_created Number of generation tokens processed.
|
||||
# TYPE vllm:request_generation_tokens_created gauge
|
||||
vllm:request_generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858228867e+09
|
||||
# HELP vllm:iteration_tokens_total Histogram of number of tokens per engine_step.
|
||||
# TYPE vllm:iteration_tokens_total histogram
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1612.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="8.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 12089.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="16.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15377.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="32.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15824.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="64.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15824.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="128.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15824.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="256.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15824.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="512.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15824.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="1024.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15824.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="2048.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 15824.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="4096.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16156.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="8192.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16176.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="16384.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16176.0
|
||||
vllm:iteration_tokens_total_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16176.0
|
||||
vllm:iteration_tokens_total_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 16176.0
|
||||
vllm:iteration_tokens_total_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.579067e+06
|
||||
# HELP vllm:iteration_tokens_total_created Histogram of number of tokens per engine_step.
|
||||
# TYPE vllm:iteration_tokens_total_created gauge
|
||||
vllm:iteration_tokens_total_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858229313e+09
|
||||
# HELP vllm:request_max_num_generation_tokens Histogram of maximum number of requested generation tokens.
|
||||
# TYPE vllm:request_max_num_generation_tokens histogram
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_max_num_generation_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 95232.0
|
||||
# HELP vllm:request_max_num_generation_tokens_created Histogram of maximum number of requested generation tokens.
|
||||
# TYPE vllm:request_max_num_generation_tokens_created gauge
|
||||
vllm:request_max_num_generation_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858229792e+09
|
||||
# HELP vllm:request_params_n Histogram of the n request parameter.
|
||||
# TYPE vllm:request_params_n histogram
|
||||
vllm:request_params_n_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_n_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_n_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_n_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_n_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_n_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_n_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_n_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
# HELP vllm:request_params_n_created Histogram of the n request parameter.
|
||||
# TYPE vllm:request_params_n_created gauge
|
||||
vllm:request_params_n_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858230217e+09
|
||||
# HELP vllm:request_params_max_tokens Histogram of the max_tokens request parameter.
|
||||
# TYPE vllm:request_params_max_tokens histogram
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_params_max_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 95232.0
|
||||
# HELP vllm:request_params_max_tokens_created Histogram of the max_tokens request parameter.
|
||||
# TYPE vllm:request_params_max_tokens_created gauge
|
||||
vllm:request_params_max_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858230462e+09
|
||||
# HELP vllm:time_to_first_token_seconds Histogram of time to first token in seconds.
|
||||
# TYPE vllm:time_to_first_token_seconds histogram
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.001",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.005",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.02",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.04",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.06",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.08",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.25",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 5.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 318.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 362.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 368.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="160.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="640.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="2560.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:time_to_first_token_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 132.1748490333557
|
||||
# HELP vllm:time_to_first_token_seconds_created Histogram of time to first token in seconds.
|
||||
# TYPE vllm:time_to_first_token_seconds_created gauge
|
||||
vllm:time_to_first_token_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858230832e+09
|
||||
# HELP vllm:inter_token_latency_seconds Histogram of inter-token latency in seconds.
|
||||
# TYPE vllm:inter_token_latency_seconds histogram
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 30101.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.025",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 90102.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.05",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92270.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.075",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92321.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92321.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.15",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92321.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.2",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 92482.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94700.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.4",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94700.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94847.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 94860.0
|
||||
vllm:inter_token_latency_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1720.9519141139463
|
||||
# HELP vllm:inter_token_latency_seconds_created Histogram of inter-token latency in seconds.
|
||||
# TYPE vllm:inter_token_latency_seconds_created gauge
|
||||
vllm:inter_token_latency_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858231328e+09
|
||||
# HELP vllm:request_time_per_output_token_seconds Histogram of time_per_output_token_seconds per request.
|
||||
# TYPE vllm:request_time_per_output_token_seconds histogram
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.01",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 40.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.025",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 319.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.05",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.075",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.1",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.15",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.2",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.4",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="0.75",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="7.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="80.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_time_per_output_token_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 6.74883103574097
|
||||
# HELP vllm:request_time_per_output_token_seconds_created Histogram of time_per_output_token_seconds per request.
|
||||
# TYPE vllm:request_time_per_output_token_seconds_created gauge
|
||||
vllm:request_time_per_output_token_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808185823172e+09
|
||||
# HELP vllm:e2e_request_latency_seconds Histogram of e2e request latency in seconds.
|
||||
# TYPE vllm:e2e_request_latency_seconds histogram
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 8.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 26.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 195.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:e2e_request_latency_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1853.0146126747131
|
||||
# HELP vllm:e2e_request_latency_seconds_created Histogram of e2e request latency in seconds.
|
||||
# TYPE vllm:e2e_request_latency_seconds_created gauge
|
||||
vllm:e2e_request_latency_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808185824654e+09
|
||||
# HELP vllm:request_queue_time_seconds Histogram of time spent in WAITING phase for request.
|
||||
# TYPE vllm:request_queue_time_seconds histogram
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_queue_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0028111001010984182
|
||||
# HELP vllm:request_queue_time_seconds_created Histogram of time spent in WAITING phase for request.
|
||||
# TYPE vllm:request_queue_time_seconds_created gauge
|
||||
vllm:request_queue_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858247194e+09
|
||||
# HELP vllm:request_inference_time_seconds Histogram of time spent in RUNNING phase for request.
|
||||
# TYPE vllm:request_inference_time_seconds histogram
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 8.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 27.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 201.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_inference_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1831.554692038335
|
||||
# HELP vllm:request_inference_time_seconds_created Histogram of time spent in RUNNING phase for request.
|
||||
# TYPE vllm:request_inference_time_seconds_created gauge
|
||||
vllm:request_inference_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.779808185824763e+09
|
||||
# HELP vllm:request_prefill_time_seconds Histogram of time spent in PREFILL phase for request.
|
||||
# TYPE vllm:request_prefill_time_seconds histogram
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 304.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 355.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 369.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 371.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 110.60277792438865
|
||||
# HELP vllm:request_prefill_time_seconds_created Histogram of time spent in PREFILL phase for request.
|
||||
# TYPE vllm:request_prefill_time_seconds_created gauge
|
||||
vllm:request_prefill_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858248146e+09
|
||||
# HELP vllm:request_decode_time_seconds Histogram of time spent in DECODE phase for request.
|
||||
# TYPE vllm:request_decode_time_seconds histogram
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.3",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="0.8",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 3.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 14.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="2.5",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 35.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 224.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="15.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="30.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="40.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="60.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="120.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="240.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="480.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="960.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="1920.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="7680.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_decode_time_seconds_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1720.9519141139463
|
||||
# HELP vllm:request_decode_time_seconds_created Histogram of time spent in DECODE phase for request.
|
||||
# TYPE vllm:request_decode_time_seconds_created gauge
|
||||
vllm:request_decode_time_seconds_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858248522e+09
|
||||
# HELP vllm:request_prefill_kv_computed_tokens Histogram of new KV tokens computed during prefill (excluding cached tokens).
|
||||
# TYPE vllm:request_prefill_kv_computed_tokens histogram
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="1.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="2.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="5.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="10.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="20.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="50.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="100.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="200.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="500.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="1000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="2000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 0.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="5000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="10000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="20000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="50000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="100000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="200000.0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_bucket{engine="0",le="+Inf",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_count{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 372.0
|
||||
vllm:request_prefill_kv_computed_tokens_sum{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.483835e+06
|
||||
# HELP vllm:request_prefill_kv_computed_tokens_created Histogram of new KV tokens computed during prefill (excluding cached tokens).
|
||||
# TYPE vllm:request_prefill_kv_computed_tokens_created gauge
|
||||
vllm:request_prefill_kv_computed_tokens_created{engine="0",model_name="/home/admin/cpfs/wjh/models/Qwen/Qwen3-Coder-30B-A3B-Instruct"} 1.7798081858249016e+09
|
||||
# HELP vllm:cache_config_info Information of the LLMEngine CacheConfig
|
||||
# TYPE vllm:cache_config_info gauge
|
||||
vllm:cache_config_info{_block_size_resolved="True",block_size="16",cache_dtype="auto",calculate_kv_scales="False",cpu_kvcache_space_bytes="None",enable_prefix_caching="True",engine="0",gpu_memory_utilization="0.9",is_attention_free="False",kv_cache_memory_bytes="None",kv_offloading_backend="native",kv_offloading_size="None",kv_sharing_fast_prefill="False",mamba_block_size="None",mamba_cache_dtype="auto",mamba_cache_mode="none",mamba_page_size_padded="None",mamba_ssm_cache_dtype="auto",num_cpu_blocks="None",num_gpu_blocks="17590",num_gpu_blocks_override="None",prefix_caching_hash_algo="sha256",sliding_window="None",user_specified_block_size="False"} 1.0
|
||||
# HELP http_requests_total Total number of requests by method, status and handler.
|
||||
# TYPE http_requests_total counter
|
||||
http_requests_total{handler="/v1/models",method="GET",status="2xx"} 1.0
|
||||
http_requests_total{handler="/v1/chat/completions",method="POST",status="2xx"} 372.0
|
||||
# HELP http_requests_created Total number of requests by method, status and handler.
|
||||
# TYPE http_requests_created gauge
|
||||
http_requests_created{handler="/v1/models",method="GET",status="2xx"} 1.7798081876221206e+09
|
||||
http_requests_created{handler="/v1/chat/completions",method="POST",status="2xx"} 1.7798081937688167e+09
|
||||
# HELP http_request_size_bytes Content length of incoming requests by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_request_size_bytes summary
|
||||
http_request_size_bytes_count{handler="/v1/models"} 1.0
|
||||
http_request_size_bytes_sum{handler="/v1/models"} 0.0
|
||||
http_request_size_bytes_count{handler="/v1/chat/completions"} 372.0
|
||||
http_request_size_bytes_sum{handler="/v1/chat/completions"} 1.961928e+06
|
||||
# HELP http_request_size_bytes_created Content length of incoming requests by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_request_size_bytes_created gauge
|
||||
http_request_size_bytes_created{handler="/v1/models"} 1.7798081876221485e+09
|
||||
http_request_size_bytes_created{handler="/v1/chat/completions"} 1.7798081937688417e+09
|
||||
# HELP http_response_size_bytes Content length of outgoing responses by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_response_size_bytes summary
|
||||
http_response_size_bytes_count{handler="/v1/models"} 1.0
|
||||
http_response_size_bytes_sum{handler="/v1/models"} 558.0
|
||||
http_response_size_bytes_count{handler="/v1/chat/completions"} 372.0
|
||||
http_response_size_bytes_sum{handler="/v1/chat/completions"} 0.0
|
||||
# HELP http_response_size_bytes_created Content length of outgoing responses by handler. Only value of header is respected. Otherwise ignored. No percentile calculated.
|
||||
# TYPE http_response_size_bytes_created gauge
|
||||
http_response_size_bytes_created{handler="/v1/models"} 1.779808187622177e+09
|
||||
http_response_size_bytes_created{handler="/v1/chat/completions"} 1.7798081937688694e+09
|
||||
# HELP http_request_duration_highr_seconds Latency with many buckets but no API specific labels. Made for more accurate percentile calculations.
|
||||
# TYPE http_request_duration_highr_seconds histogram
|
||||
http_request_duration_highr_seconds_bucket{le="0.01"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.025"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.05"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.075"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.1"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.25"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.5"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="0.75"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="1.0"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="1.5"} 1.0
|
||||
http_request_duration_highr_seconds_bucket{le="2.0"} 9.0
|
||||
http_request_duration_highr_seconds_bucket{le="2.5"} 27.0
|
||||
http_request_duration_highr_seconds_bucket{le="3.0"} 48.0
|
||||
http_request_duration_highr_seconds_bucket{le="3.5"} 78.0
|
||||
http_request_duration_highr_seconds_bucket{le="4.0"} 114.0
|
||||
http_request_duration_highr_seconds_bucket{le="4.5"} 151.0
|
||||
http_request_duration_highr_seconds_bucket{le="5.0"} 196.0
|
||||
http_request_duration_highr_seconds_bucket{le="7.5"} 342.0
|
||||
http_request_duration_highr_seconds_bucket{le="10.0"} 373.0
|
||||
http_request_duration_highr_seconds_bucket{le="30.0"} 373.0
|
||||
http_request_duration_highr_seconds_bucket{le="60.0"} 373.0
|
||||
http_request_duration_highr_seconds_bucket{le="+Inf"} 373.0
|
||||
http_request_duration_highr_seconds_count 373.0
|
||||
http_request_duration_highr_seconds_sum 1853.5824478221475
|
||||
# HELP http_request_duration_highr_seconds_created Latency with many buckets but no API specific labels. Made for more accurate percentile calculations.
|
||||
# TYPE http_request_duration_highr_seconds_created gauge
|
||||
http_request_duration_highr_seconds_created 1.7798081863473852e+09
|
||||
# HELP http_request_duration_seconds Latency with only few buckets by handler. Made to be only used if aggregation by handler is important.
|
||||
# TYPE http_request_duration_seconds histogram
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="0.1",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="0.5",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="1.0",method="GET"} 1.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/models",le="+Inf",method="GET"} 1.0
|
||||
http_request_duration_seconds_count{handler="/v1/models",method="GET"} 1.0
|
||||
http_request_duration_seconds_sum{handler="/v1/models",method="GET"} 0.00240229198243469
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="0.1",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="0.5",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="1.0",method="POST"} 0.0
|
||||
http_request_duration_seconds_bucket{handler="/v1/chat/completions",le="+Inf",method="POST"} 372.0
|
||||
http_request_duration_seconds_count{handler="/v1/chat/completions",method="POST"} 372.0
|
||||
http_request_duration_seconds_sum{handler="/v1/chat/completions",method="POST"} 1853.580045530165
|
||||
# HELP http_request_duration_seconds_created Latency with only few buckets by handler. Made to be only used if aggregation by handler is important.
|
||||
# TYPE http_request_duration_seconds_created gauge
|
||||
http_request_duration_seconds_created{handler="/v1/models",method="GET"} 1.779808187622212e+09
|
||||
http_request_duration_seconds_created{handler="/v1/chat/completions",method="POST"} 1.7798081937689064e+09
|
||||
@@ -0,0 +1,372 @@
|
||||
{"req_id": "2d4b27e5b3b943f4", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377323568694606, "t_first_token_ns": 377324820901603, "t_last_token_ns": 377328754851504, "prompt_tokens": 3963, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "04f57fc587544821", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377324031433998, "t_first_token_ns": 377324826075536, "t_last_token_ns": 377328766093878, "prompt_tokens": 4001, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "b94172400b59478a", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377324204772012, "t_first_token_ns": 377324826212587, "t_last_token_ns": 377328766249783, "prompt_tokens": 3990, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "995d393bd71b4b8c", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377324882950607, "t_first_token_ns": 377325144369252, "t_last_token_ns": 377328889574042, "prompt_tokens": 4024, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "4912600328f44eea", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377325022707179, "t_first_token_ns": 377325387213500, "t_last_token_ns": 377328909374406, "prompt_tokens": 3984, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "b975d9d5272a4427", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377326537575348, "t_first_token_ns": 377326798901899, "t_last_token_ns": 377329902579865, "prompt_tokens": 3963, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "ccba743082364781", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377327461164692, "t_first_token_ns": 377327731193197, "t_last_token_ns": 377330697318472, "prompt_tokens": 3983, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "6452f810a40947dc", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377327958318130, "t_first_token_ns": 377328226147190, "t_last_token_ns": 377330863136458, "prompt_tokens": 4002, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "67d0f3ff0f2d455b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377328247250841, "t_first_token_ns": 377328526359717, "t_last_token_ns": 377330899906616, "prompt_tokens": 3994, "completion_tokens": 256, "inflight_at_send": 9, "error": null}
|
||||
{"req_id": "c99f6d7100064036", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377330339410243, "t_first_token_ns": 377330602704129, "t_last_token_ns": 377331995245807, "prompt_tokens": 3993, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "a2aa28d492b24da1", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377333286349337, "t_first_token_ns": 377333542371645, "t_last_token_ns": 377335728172515, "prompt_tokens": 3967, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "f48df1b5da0541e8", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377333766318154, "t_first_token_ns": 377334026521673, "t_last_token_ns": 377336030718014, "prompt_tokens": 3977, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "1728cb8d3bf24f05", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377334268118893, "t_first_token_ns": 377334524615304, "t_last_token_ns": 377336240880861, "prompt_tokens": 3977, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "ffda3d4d524a408b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377336374658415, "t_first_token_ns": 377336629779755, "t_last_token_ns": 377339433078425, "prompt_tokens": 3998, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "da2ad06814584d64", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377336760570863, "t_first_token_ns": 377337017929818, "t_last_token_ns": 377339690394601, "prompt_tokens": 4012, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "a7f1651b6d8a477f", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377337354292879, "t_first_token_ns": 377337607223109, "t_last_token_ns": 377340138335353, "prompt_tokens": 3959, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "9b70a69a9e4e46eb", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377337634996044, "t_first_token_ns": 377337889511668, "t_last_token_ns": 377340414784238, "prompt_tokens": 3934, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "0b11aa3c6fe34db7", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377338422526069, "t_first_token_ns": 377338688800408, "t_last_token_ns": 377340851670663, "prompt_tokens": 3977, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "7ce8d66a43e14b4f", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377340158826307, "t_first_token_ns": 377340414659023, "t_last_token_ns": 377342654946705, "prompt_tokens": 3989, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "8e1d2b4b86114d68", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377341206816838, "t_first_token_ns": 377341460844432, "t_last_token_ns": 377346345859143, "prompt_tokens": 3995, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "af4ec6776e684bcd", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377341376826113, "t_first_token_ns": 377341701444633, "t_last_token_ns": 377346373729072, "prompt_tokens": 4011, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "2a738147e8eb413b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377342399434685, "t_first_token_ns": 377342655265362, "t_last_token_ns": 377348693747435, "prompt_tokens": 3984, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "98d393d4ca1a4820", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377342716344570, "t_first_token_ns": 377342977645286, "t_last_token_ns": 377348907807624, "prompt_tokens": 4032, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "e5c60bf53d954508", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377343247933989, "t_first_token_ns": 377343512146866, "t_last_token_ns": 377349914453756, "prompt_tokens": 4033, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "391e04cedb5f4f82", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377343298435768, "t_first_token_ns": 377343960915731, "t_last_token_ns": 377349928936037, "prompt_tokens": 4000, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "ca0d59bf7b1b4a6a", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377343284751544, "t_first_token_ns": 377343960817378, "t_last_token_ns": 377349929111172, "prompt_tokens": 3964, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "ceda3058052843b0", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377344169056422, "t_first_token_ns": 377344437144111, "t_last_token_ns": 377350244123021, "prompt_tokens": 3989, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "46d2eee1b7184a0d", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377344524182451, "t_first_token_ns": 377344799654670, "t_last_token_ns": 377350412900015, "prompt_tokens": 3972, "completion_tokens": 256, "inflight_at_send": 9, "error": null}
|
||||
{"req_id": "423e3e98eafd4528", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377344653657662, "t_first_token_ns": 377345049261451, "t_last_token_ns": 377350435851419, "prompt_tokens": 3989, "completion_tokens": 256, "inflight_at_send": 10, "error": null}
|
||||
{"req_id": "b396226867dd4c0a", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377345284662300, "t_first_token_ns": 377345560946443, "t_last_token_ns": 377350673010869, "prompt_tokens": 3993, "completion_tokens": 256, "inflight_at_send": 11, "error": null}
|
||||
{"req_id": "967fcd2e1620414b", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377345793431652, "t_first_token_ns": 377346072984412, "t_last_token_ns": 377351135484393, "prompt_tokens": 3983, "completion_tokens": 256, "inflight_at_send": 12, "error": null}
|
||||
{"req_id": "f7b6e14fb76d4519", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377346389651441, "t_first_token_ns": 377346665276482, "t_last_token_ns": 377351445778221, "prompt_tokens": 3955, "completion_tokens": 256, "inflight_at_send": 11, "error": null}
|
||||
{"req_id": "7f0928e0c5f04653", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377346548701667, "t_first_token_ns": 377346915731976, "t_last_token_ns": 377351464553869, "prompt_tokens": 3984, "completion_tokens": 256, "inflight_at_send": 12, "error": null}
|
||||
{"req_id": "655a31ddd18c4331", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377347626814046, "t_first_token_ns": 377347900199440, "t_last_token_ns": 377352446767847, "prompt_tokens": 4010, "completion_tokens": 256, "inflight_at_send": 13, "error": null}
|
||||
{"req_id": "0ea2c3d280124126", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377348155324276, "t_first_token_ns": 377348434440030, "t_last_token_ns": 377352652087787, "prompt_tokens": 4000, "completion_tokens": 256, "inflight_at_send": 14, "error": null}
|
||||
{"req_id": "abe57ce576a54e18", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377348835375030, "t_first_token_ns": 377349120328668, "t_last_token_ns": 377352956218114, "prompt_tokens": 3978, "completion_tokens": 256, "inflight_at_send": 14, "error": null}
|
||||
{"req_id": "93267fbbed02452f", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377349264902543, "t_first_token_ns": 377349543311748, "t_last_token_ns": 377353311903719, "prompt_tokens": 4012, "completion_tokens": 256, "inflight_at_send": 14, "error": null}
|
||||
{"req_id": "bcc1d79459d04f8a", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377350744945452, "t_first_token_ns": 377351015962984, "t_last_token_ns": 377354063599369, "prompt_tokens": 3994, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "6225f49fee0749db", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377351695054054, "t_first_token_ns": 377351962455019, "t_last_token_ns": 377355517534434, "prompt_tokens": 4007, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "8243d841e8d1472f", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377352095311078, "t_first_token_ns": 377352356923518, "t_last_token_ns": 377355679300960, "prompt_tokens": 3988, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
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|
||||
{"req_id": "0e1cb12476634a80", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377546030881432, "t_first_token_ns": 377546314647232, "t_last_token_ns": 377550002532516, "prompt_tokens": 3984, "completion_tokens": 256, "inflight_at_send": 12, "error": null}
|
||||
{"req_id": "9140fc95dcda4fdb", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377546237660397, "t_first_token_ns": 377546570252475, "t_last_token_ns": 377550017256520, "prompt_tokens": 3981, "completion_tokens": 256, "inflight_at_send": 13, "error": null}
|
||||
{"req_id": "453ba061ca194670", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377547527785936, "t_first_token_ns": 377547807482865, "t_last_token_ns": 377550443357321, "prompt_tokens": 3989, "completion_tokens": 256, "inflight_at_send": 11, "error": null}
|
||||
{"req_id": "d7980b9ef4ff43db", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377548114071324, "t_first_token_ns": 377548386138188, "t_last_token_ns": 377550576671874, "prompt_tokens": 3992, "completion_tokens": 256, "inflight_at_send": 10, "error": null}
|
||||
{"req_id": "11abc92e321740bf", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377550697375176, "t_first_token_ns": 377550947372055, "t_last_token_ns": 377552404787971, "prompt_tokens": 3957, "completion_tokens": 256, "inflight_at_send": 1, "error": null}
|
||||
{"req_id": "bcaf172b9c3e43f8", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377552105944472, "t_first_token_ns": 377552363237120, "t_last_token_ns": 377554286058230, "prompt_tokens": 3981, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "9924ce8e22454da6", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377552583078918, "t_first_token_ns": 377552841136847, "t_last_token_ns": 377554813383283, "prompt_tokens": 3981, "completion_tokens": 256, "inflight_at_send": 2, "error": null}
|
||||
{"req_id": "3d6d1e01287445b7", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377553930288883, "t_first_token_ns": 377554188815328, "t_last_token_ns": 377557687899654, "prompt_tokens": 3970, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "cd92b36d725e4ebf", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377554555893056, "t_first_token_ns": 377554813809669, "t_last_token_ns": 377559298273741, "prompt_tokens": 3993, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "b815423b0a4e4cf4", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377554845638993, "t_first_token_ns": 377555101677063, "t_last_token_ns": 377559414367812, "prompt_tokens": 3976, "completion_tokens": 256, "inflight_at_send": 3, "error": null}
|
||||
{"req_id": "1658ee0702204652", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377555067539439, "t_first_token_ns": 377555343557260, "t_last_token_ns": 377559436356267, "prompt_tokens": 3969, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
{"req_id": "e70502b814cb46eb", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377555539977946, "t_first_token_ns": 377555804470309, "t_last_token_ns": 377559780662553, "prompt_tokens": 3999, "completion_tokens": 256, "inflight_at_send": 5, "error": null}
|
||||
{"req_id": "86db5dc6effa49b5", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377556961754814, "t_first_token_ns": 377557231595149, "t_last_token_ns": 377561537426250, "prompt_tokens": 3970, "completion_tokens": 256, "inflight_at_send": 6, "error": null}
|
||||
{"req_id": "9b6806621cbe4374", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377557412198062, "t_first_token_ns": 377557676823433, "t_last_token_ns": 377562026885951, "prompt_tokens": 4002, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "fbd9b68197864500", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377557807367104, "t_first_token_ns": 377558075410500, "t_last_token_ns": 377562230906560, "prompt_tokens": 3952, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "591c5359b2f74382", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377558327969020, "t_first_token_ns": 377558596476178, "t_last_token_ns": 377562459327687, "prompt_tokens": 3986, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "066cf6a1835241f9", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377558760165995, "t_first_token_ns": 377559035875284, "t_last_token_ns": 377562643452681, "prompt_tokens": 4007, "completion_tokens": 256, "inflight_at_send": 9, "error": null}
|
||||
{"req_id": "e7be8dc5d7074ec3", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377558976465418, "t_first_token_ns": 377559285504999, "t_last_token_ns": 377562658472140, "prompt_tokens": 3973, "completion_tokens": 256, "inflight_at_send": 10, "error": null}
|
||||
{"req_id": "d0913de330eb413f", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377560480352161, "t_first_token_ns": 377560744788804, "t_last_token_ns": 377563801899357, "prompt_tokens": 3973, "completion_tokens": 256, "inflight_at_send": 7, "error": null}
|
||||
{"req_id": "6134390de49243b6", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377560607546318, "t_first_token_ns": 377560993720351, "t_last_token_ns": 377563817032324, "prompt_tokens": 3994, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "5c4762ef7bdc4eb0", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377561544599747, "t_first_token_ns": 377561814542876, "t_last_token_ns": 377564121440489, "prompt_tokens": 4006, "completion_tokens": 256, "inflight_at_send": 8, "error": null}
|
||||
{"req_id": "4149e157973248fd", "rate_target": 1.5, "input_tokens_target": 4096, "output_tokens_target": 256, "t_send_ns": 377563066865308, "t_first_token_ns": 377563330614103, "t_last_token_ns": 377564800641116, "prompt_tokens": 3970, "completion_tokens": 256, "inflight_at_send": 4, "error": null}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"rate": 1.5,
|
||||
"input_tokens": 4096,
|
||||
"output_tokens": 256,
|
||||
"duration_target_s": 240.0,
|
||||
"duration_actual_s": 241.68477007100591,
|
||||
"n_requests": 372
|
||||
}
|
||||
136
microbench/connector_tax/cache_sweep/run_all.sh
Executable file
136
microbench/connector_tax/cache_sweep/run_all.sh
Executable file
@@ -0,0 +1,136 @@
|
||||
#!/bin/bash
|
||||
# Cache-size sweep orchestrator.
|
||||
#
|
||||
# 1. Apply CT_CACHE_SWEEP_PATCH on top of the already-installed
|
||||
# CONNECTOR_TAX_PATCH (adds cache_size + worker timings).
|
||||
# 2. For each config in {plain, noop_connector, mooncake_both}:
|
||||
# launch vLLM → wait ready → 8-min open-loop bench → kill,
|
||||
# release GPU.
|
||||
# 3. Revert CT_CACHE_SWEEP_PATCH so a follow-up run is clean.
|
||||
# 4. Run analyze.py and emit figures + summary.
|
||||
#
|
||||
# Usage: bash run_all.sh
|
||||
#
|
||||
# Env overrides:
|
||||
# DURATION per-config bench duration (default 480 s)
|
||||
# RATE open-loop rate (default 1.5 req/s)
|
||||
# PORT vLLM port (default 8000)
|
||||
# GPU_ID GPU index (default 0)
|
||||
# MODEL_PATH model dir (default $HOME/models/Qwen/Qwen3-Coder-30B-A3B-Instruct)
|
||||
# CONFIGS space-separated subset (default "plain noop_connector mooncake_both")
|
||||
# SKIP_PATCH set to 1 to skip apply/revert (e.g. patch already applied)
|
||||
|
||||
set -uo pipefail
|
||||
|
||||
HERE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
CT_DIR="$(cd "$HERE/.." && pwd)"
|
||||
PROJ_DIR="$(cd "$HERE/../../.." && pwd)"
|
||||
PYTHON="${PYTHON:-$PROJ_DIR/.venv/bin/python}"
|
||||
VLLM_ROOT="${VLLM_ROOT:-$PROJ_DIR/.venv/lib/python3.12/site-packages/vllm}"
|
||||
|
||||
DURATION="${DURATION:-480}"
|
||||
RATE="${RATE:-1.5}"
|
||||
PORT="${PORT:-8000}"
|
||||
GPU_ID="${GPU_ID:-0}"
|
||||
MODEL_PATH="${MODEL_PATH:-$HOME/models/Qwen/Qwen3-Coder-30B-A3B-Instruct}"
|
||||
CONFIGS="${CONFIGS:-plain noop_connector mooncake_both}"
|
||||
SKIP_PATCH="${SKIP_PATCH:-0}"
|
||||
|
||||
DATE="$(date +%Y%m%d_%H%M)"
|
||||
RUN_ROOT="$HERE/results/$DATE"
|
||||
mkdir -p "$RUN_ROOT"
|
||||
|
||||
echo "=== Cache-size sweep ==="
|
||||
echo "Run dir : $RUN_ROOT"
|
||||
echo "vLLM root : $VLLM_ROOT"
|
||||
echo "Configs : $CONFIGS"
|
||||
echo "Rate : $RATE Duration: ${DURATION}s"
|
||||
echo ""
|
||||
|
||||
# ── kill any leftover vLLM ────────────────────────────────────────────────
|
||||
kill_all_vllm() {
|
||||
pkill -9 -f "VLLM::EngineCore" 2>/dev/null || true
|
||||
pkill -9 -f "vllm.entrypoints" 2>/dev/null || true
|
||||
pkill -9 -f "vllm serve" 2>/dev/null || true
|
||||
sleep 4
|
||||
for _ in $(seq 1 20); do
|
||||
used=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i "$GPU_ID" 2>/dev/null | tr -d ' ')
|
||||
[[ -n "$used" && "$used" -lt 1000 ]] && return 0
|
||||
sleep 3
|
||||
done
|
||||
echo "WARN: GPU $GPU_ID not free after kill" >&2
|
||||
}
|
||||
trap 'kill_all_vllm; if [[ "$SKIP_PATCH" != "1" ]]; then "$PYTHON" "$HERE/apply_step_timing_v2.py" --revert --vllm-root "$VLLM_ROOT" || true; [[ -f "$CT_DIR/patches/apply_step_timing.py" ]] && "$PYTHON" "$CT_DIR/patches/apply_step_timing.py" --revert --vllm-root "$VLLM_ROOT" || true; fi' EXIT
|
||||
|
||||
# ── patch ─────────────────────────────────────────────────────────────────
|
||||
if [[ "$SKIP_PATCH" != "1" ]]; then
|
||||
echo "[stage 0] applying CONNECTOR_TAX_PATCH (v1) then CT_CACHE_SWEEP_PATCH (v2)"
|
||||
# v1 patch adds step_duration_us + build_meta_us; v2 stacks on top.
|
||||
if [[ -f "$CT_DIR/patches/apply_step_timing.py" ]]; then
|
||||
"$PYTHON" "$CT_DIR/patches/apply_step_timing.py" --apply --vllm-root "$VLLM_ROOT" || true
|
||||
fi
|
||||
"$PYTHON" "$HERE/apply_step_timing_v2.py" --apply --vllm-root "$VLLM_ROOT"
|
||||
fi
|
||||
|
||||
# ── per-config runs ───────────────────────────────────────────────────────
|
||||
kill_all_vllm
|
||||
for cfg in $CONFIGS; do
|
||||
cfg_dir="$RUN_ROOT/$cfg"
|
||||
mkdir -p "$cfg_dir"
|
||||
|
||||
launch_script="$CT_DIR/launch/launch_${cfg}.sh"
|
||||
if [[ ! -f "$launch_script" ]]; then
|
||||
echo "SKIP $cfg (no launch script at $launch_script)"
|
||||
continue
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "====== Config: $cfg ======"
|
||||
export RUN_DIR="$cfg_dir"
|
||||
export PORT GPU_ID MODEL_PATH
|
||||
export AGENTIC_STEP_LOG_PATH="$cfg_dir/engine_step.jsonl"
|
||||
export CT_WORKER_STEP_LOG_PATH="$cfg_dir/worker_step.jsonl"
|
||||
export PYTHONPATH="$PROJ_DIR:${PYTHONPATH:-}"
|
||||
|
||||
: > "$cfg_dir/engine_step.jsonl" # truncate
|
||||
rm -f "$cfg_dir/worker_step.jsonl".* # any leftover ranks
|
||||
: > "$cfg_dir/requests.jsonl"
|
||||
|
||||
# Launch (the launch scripts already use common.sh).
|
||||
bash "$launch_script" 2>&1 | tail -5
|
||||
rc=$?
|
||||
if [[ $rc -ne 0 ]]; then
|
||||
echo "FAIL $cfg (launch rc=$rc) — skipping bench"
|
||||
kill_all_vllm
|
||||
continue
|
||||
fi
|
||||
|
||||
echo "[bench] running ${DURATION}s open-loop at rate=$RATE"
|
||||
"$PYTHON" "$HERE/run_cache_sweep.py" \
|
||||
--url "http://127.0.0.1:$PORT/v1/chat/completions" \
|
||||
--model "$MODEL_PATH" \
|
||||
--rate "$RATE" --duration "$DURATION" \
|
||||
--output-dir "$cfg_dir" 2>&1 | tail -8
|
||||
|
||||
# Final fetch of /metrics so the analyze step has the ceiling.
|
||||
curl -s "http://127.0.0.1:$PORT/metrics" > "$cfg_dir/metrics_final.txt" 2>&1 || true
|
||||
|
||||
echo "[teardown] $cfg"
|
||||
kill_all_vllm
|
||||
done
|
||||
|
||||
# ── revert + analyze ──────────────────────────────────────────────────────
|
||||
if [[ "$SKIP_PATCH" != "1" ]]; then
|
||||
echo ""
|
||||
echo "[stage Z] reverting CT_CACHE_SWEEP_PATCH then CONNECTOR_TAX_PATCH"
|
||||
"$PYTHON" "$HERE/apply_step_timing_v2.py" --revert --vllm-root "$VLLM_ROOT"
|
||||
if [[ -f "$CT_DIR/patches/apply_step_timing.py" ]]; then
|
||||
"$PYTHON" "$CT_DIR/patches/apply_step_timing.py" --revert --vllm-root "$VLLM_ROOT" || true
|
||||
fi
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "[analyze]"
|
||||
"$PYTHON" "$HERE/analyze.py" --run-root "$RUN_ROOT"
|
||||
echo ""
|
||||
echo "Done. Artifacts: $RUN_ROOT"
|
||||
220
microbench/connector_tax/cache_sweep/run_cache_sweep.py
Executable file
220
microbench/connector_tax/cache_sweep/run_cache_sweep.py
Executable file
@@ -0,0 +1,220 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Continuous open-loop driver for the cache-size sweep.
|
||||
|
||||
The intent is to fill the prefix-cache from 0 up to GPU ceiling within a
|
||||
single vLLM lifetime, so the per-step `cache_size` field (added by
|
||||
`apply_step_timing_v2.py`) sweeps through every value the engine can
|
||||
hold. Offline analysis bins by `cache_size` to recover the per-step
|
||||
overhead curve.
|
||||
|
||||
Workload:
|
||||
- Open-loop Poisson at fixed rate (default 1.5 req/s).
|
||||
- Random per-request content (UUID + hash, calibrated to ~4096
|
||||
tokens). Zero prefix-cache hits ⇒ cache strictly grows until
|
||||
LRU eviction kicks in.
|
||||
- max_tokens / min_tokens = 256, temperature=0, ignore_eos=True.
|
||||
- Duration default 8 min.
|
||||
|
||||
Writes per-request metrics to `requests.jsonl`. The patch emits
|
||||
per-step rows to `engine_step.jsonl` (set via AGENTIC_STEP_LOG_PATH)
|
||||
and worker rows to `worker_step.jsonl.r0` (set via
|
||||
CT_WORKER_STEP_LOG_PATH).
|
||||
|
||||
Usage:
|
||||
run_cache_sweep.py \\
|
||||
--url http://127.0.0.1:8000/v1/chat/completions \\
|
||||
--model /path/to/qwen \\
|
||||
--rate 1.5 --duration 480 \\
|
||||
--output-dir results/<date>/<config>
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import hashlib
|
||||
import json
|
||||
import random
|
||||
import time
|
||||
import uuid
|
||||
from dataclasses import asdict, dataclass
|
||||
from pathlib import Path
|
||||
|
||||
import httpx
|
||||
|
||||
|
||||
@dataclass
|
||||
class ReqMetric:
|
||||
req_id: str
|
||||
rate_target: float
|
||||
input_tokens_target: int
|
||||
output_tokens_target: int
|
||||
t_send_ns: int
|
||||
t_first_token_ns: int | None = None
|
||||
t_last_token_ns: int | None = None
|
||||
prompt_tokens: int = 0
|
||||
completion_tokens: int = 0
|
||||
inflight_at_send: int = 0
|
||||
error: str | None = None
|
||||
|
||||
|
||||
def make_random_prompt(target_tokens: int) -> str:
|
||||
"""Same calibration as the bench_loop.py used elsewhere:
|
||||
'Block N: <32-hex>' tokenizes to ~35 tokens on Qwen3-Coder."""
|
||||
n_parts = max(1, target_tokens // 35)
|
||||
seed = uuid.uuid4().hex
|
||||
parts = []
|
||||
for i in range(n_parts):
|
||||
h = hashlib.md5(f"{seed}_{i}_{time.time_ns()}".encode()).hexdigest()
|
||||
parts.append(f"Block {i}: {h}")
|
||||
return " ".join(parts)
|
||||
|
||||
|
||||
async def send_one(client, url, model, inp_tokens, out_tokens,
|
||||
rate, inflight, inflight_cap, fh):
|
||||
rid = uuid.uuid4().hex[:16]
|
||||
if inflight[0] >= inflight_cap:
|
||||
m = ReqMetric(req_id=rid, rate_target=rate,
|
||||
input_tokens_target=inp_tokens,
|
||||
output_tokens_target=out_tokens,
|
||||
t_send_ns=time.perf_counter_ns(),
|
||||
inflight_at_send=inflight[0],
|
||||
error="dropped_inflight_cap")
|
||||
fh.write(json.dumps(asdict(m)) + "\n")
|
||||
return
|
||||
|
||||
inflight[0] += 1
|
||||
m = ReqMetric(req_id=rid, rate_target=rate,
|
||||
input_tokens_target=inp_tokens,
|
||||
output_tokens_target=out_tokens,
|
||||
t_send_ns=time.perf_counter_ns(),
|
||||
inflight_at_send=inflight[0])
|
||||
try:
|
||||
prompt = make_random_prompt(inp_tokens)
|
||||
payload = {
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": prompt}],
|
||||
"max_tokens": out_tokens,
|
||||
"min_tokens": out_tokens,
|
||||
"temperature": 0,
|
||||
"ignore_eos": True,
|
||||
"stream": True,
|
||||
"stream_options": {"include_usage": True},
|
||||
}
|
||||
async with client.stream("POST", url, json=payload, timeout=600.0) as resp:
|
||||
resp.raise_for_status()
|
||||
async for line in resp.aiter_lines():
|
||||
if not line.startswith("data: "):
|
||||
continue
|
||||
data = line[6:]
|
||||
if data.strip() == "[DONE]":
|
||||
break
|
||||
try:
|
||||
chunk = json.loads(data)
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
usage = chunk.get("usage")
|
||||
if usage:
|
||||
m.prompt_tokens = usage.get("prompt_tokens", m.prompt_tokens)
|
||||
m.completion_tokens = usage.get(
|
||||
"completion_tokens", m.completion_tokens)
|
||||
choices = chunk.get("choices") or []
|
||||
if not choices:
|
||||
continue
|
||||
delta = choices[0].get("delta", {})
|
||||
if "role" in delta:
|
||||
continue
|
||||
now = time.perf_counter_ns()
|
||||
if m.t_first_token_ns is None:
|
||||
m.t_first_token_ns = now
|
||||
m.t_last_token_ns = now
|
||||
except Exception as e:
|
||||
m.error = f"{type(e).__name__}: {e}"
|
||||
finally:
|
||||
inflight[0] -= 1
|
||||
fh.write(json.dumps(asdict(m)) + "\n")
|
||||
|
||||
|
||||
async def main_async(args):
|
||||
out_dir = Path(args.output_dir)
|
||||
out_dir.mkdir(parents=True, exist_ok=True)
|
||||
req_path = out_dir / "requests.jsonl"
|
||||
|
||||
inflight = [0]
|
||||
pending: list[asyncio.Task] = []
|
||||
interval_mean = 1.0 / args.rate
|
||||
rng = random.Random(int(time.time_ns()) & 0xFFFFFFFF)
|
||||
|
||||
print(f"[bench] rate={args.rate} shape=({args.input_tokens},{args.output_tokens}) "
|
||||
f"duration={args.duration}s output={out_dir}")
|
||||
|
||||
fh = open(req_path, "a", buffering=1)
|
||||
t0 = time.perf_counter()
|
||||
last_print = t0
|
||||
|
||||
async with httpx.AsyncClient(timeout=httpx.Timeout(600.0)) as client:
|
||||
# producer
|
||||
async def producer():
|
||||
while time.perf_counter() - t0 < args.duration:
|
||||
pending.append(asyncio.create_task(
|
||||
send_one(client, args.url, args.model,
|
||||
args.input_tokens, args.output_tokens,
|
||||
args.rate, inflight, args.inflight_cap, fh)
|
||||
))
|
||||
await asyncio.sleep(rng.expovariate(1.0 / interval_mean))
|
||||
|
||||
# heartbeat
|
||||
async def heartbeat():
|
||||
nonlocal last_print
|
||||
while time.perf_counter() - t0 < args.duration + 1:
|
||||
now = time.perf_counter()
|
||||
if now - last_print >= 30:
|
||||
print(f" t+{int(now - t0):4d}s inflight={inflight[0]} "
|
||||
f"pending={len(pending)}")
|
||||
last_print = now
|
||||
await asyncio.sleep(2.0)
|
||||
|
||||
prod = asyncio.create_task(producer())
|
||||
hb = asyncio.create_task(heartbeat())
|
||||
await prod
|
||||
hb.cancel()
|
||||
try:
|
||||
await hb
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
# final drain
|
||||
if pending:
|
||||
await asyncio.gather(*pending, return_exceptions=True)
|
||||
|
||||
fh.close()
|
||||
|
||||
# Quick summary so the orchestrator can sanity-check the cell ran.
|
||||
n_lines = sum(1 for _ in open(req_path))
|
||||
with open(out_dir / "run_summary.json", "w") as f:
|
||||
json.dump({
|
||||
"rate": args.rate,
|
||||
"input_tokens": args.input_tokens,
|
||||
"output_tokens": args.output_tokens,
|
||||
"duration_target_s": args.duration,
|
||||
"duration_actual_s": time.perf_counter() - t0,
|
||||
"n_requests": n_lines,
|
||||
}, f, indent=2)
|
||||
print(f"[done] {n_lines} requests in {time.perf_counter() - t0:.1f}s")
|
||||
|
||||
|
||||
def main():
|
||||
ap = argparse.ArgumentParser()
|
||||
ap.add_argument("--url", required=True)
|
||||
ap.add_argument("--model", required=True)
|
||||
ap.add_argument("--rate", type=float, default=1.5)
|
||||
ap.add_argument("--input-tokens", type=int, default=4096)
|
||||
ap.add_argument("--output-tokens", type=int, default=256)
|
||||
ap.add_argument("--duration", type=float, default=480.0,
|
||||
help="Total run duration in seconds (default 8 min)")
|
||||
ap.add_argument("--inflight-cap", type=int, default=256)
|
||||
ap.add_argument("--output-dir", required=True)
|
||||
args = ap.parse_args()
|
||||
asyncio.run(main_async(args))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user