Files
agentic-kvc/third_party/vllm/docs/usage/metrics.md
Gahow Wang 445e491123 Add vLLM v0.18.1 source tree with KV transfer abort fix
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:

  vllm/v1/core/sched/scheduler.py:
    Replace fatal assert with graceful skip when KV transfer callback
    arrives for an already-aborted request during PD disaggregated serving.

Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-22 00:30:38 +08:00

59 lines
2.1 KiB
Markdown

# Production Metrics
vLLM exposes a number of metrics that can be used to monitor the health of the
system. These metrics are exposed via the `/metrics` endpoint on the vLLM
OpenAI compatible API server.
You can start the server using Python, or using [Docker](../deployment/docker.md):
```bash
vllm serve unsloth/Llama-3.2-1B-Instruct
```
Then query the endpoint to get the latest metrics from the server:
??? console "Output"
```console
$ curl http://0.0.0.0:8000/metrics
# HELP vllm:iteration_tokens_total Histogram of number of tokens per engine_step.
# TYPE vllm:iteration_tokens_total histogram
vllm:iteration_tokens_total_sum{model_name="unsloth/Llama-3.2-1B-Instruct"} 0.0
vllm:iteration_tokens_total_bucket{le="1.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
vllm:iteration_tokens_total_bucket{le="8.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
vllm:iteration_tokens_total_bucket{le="16.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
vllm:iteration_tokens_total_bucket{le="32.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
vllm:iteration_tokens_total_bucket{le="64.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
vllm:iteration_tokens_total_bucket{le="128.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
vllm:iteration_tokens_total_bucket{le="256.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
vllm:iteration_tokens_total_bucket{le="512.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
...
```
The following metrics are exposed:
## General Metrics
--8<-- "docs/generated/metrics/general.inc.md"
## Speculative Decoding Metrics
--8<-- "docs/generated/metrics/spec_decode.inc.md"
## NIXL KV Connector Metrics
--8<-- "docs/generated/metrics/nixl_connector.inc.md"
## Model Flops Utilization (MFU) Performance Metrics
These metrics are available via `--enable-mfu-metrics`:
--8<-- "docs/generated/metrics/perf.inc.md"
## Deprecation Policy
Note: when metrics are deprecated in version `X.Y`, they are hidden in version `X.Y+1`
but can be re-enabled using the `--show-hidden-metrics-for-version=X.Y` escape hatch,
and are then removed in version `X.Y+2`.