Chapter 6. AI Inference Server metrics

vllm:num_requests_running

Number of requests currently running on GPU.

vllm:num_requests_waiting

Number of requests waiting to be processed.

vllm:lora_requests_info

Running stats on LoRA requests.

vllm:num_requests_swapped

Number of requests swapped to CPU. Deprecated: KV cache offloading is not used in V1.

vllm:gpu_cache_usage_perc

GPU KV-cache usage. A value of 1 means 100% usage.

vllm:cpu_cache_usage_perc

CPU KV-cache usage. A value of 1 means 100% usage. Deprecated: KV cache offloading is not used in V1.

vllm:cpu_prefix_cache_hit_rate

CPU prefix cache block hit rate. Deprecated: KV cache offloading is not used in V1.

vllm:gpu_prefix_cache_hit_rate

GPU prefix cache block hit rate. Deprecated: Use vllm:gpu_prefix_cache_queries and vllm:gpu_prefix_cache_hits in V1.

vllm:num_preemptions_total

Cumulative number of preemptions from the engine.

vllm:prompt_tokens_total

Total number of prefill tokens processed.

vllm:generation_tokens_total

Total number of generation tokens processed.

vllm:iteration_tokens_total

Histogram of the number of tokens per engine step.

vllm:time_to_first_token_seconds

Histogram of time to the first token in seconds.

vllm:time_per_output_token_seconds

Histogram of time per output token in seconds.

vllm:e2e_request_latency_seconds

Histogram of end-to-end request latency in seconds.

vllm:request_queue_time_seconds

Histogram of time spent in the WAITING phase for a request.

vllm:request_inference_time_seconds

Histogram of time spent in the RUNNING phase for a request.

vllm:request_prefill_time_seconds

Histogram of time spent in the PREFILL phase for a request.

vllm:request_decode_time_seconds

Histogram of time spent in the DECODE phase for a request.

vllm:time_in_queue_requests

Histogram of time the request spent in the queue in seconds. Deprecated: Use vllm:request_queue_time_seconds instead.

vllm:model_forward_time_milliseconds

Histogram of time spent in the model forward pass in milliseconds. Deprecated: Use prefill/decode/inference time metrics instead.

vllm:model_execute_time_milliseconds

Histogram of time spent in the model execute function in milliseconds. Deprecated: Use prefill/decode/inference time metrics instead.

vllm:request_prompt_tokens

Histogram of the number of prefill tokens processed.

vllm:request_generation_tokens

Histogram of the number of generation tokens processed.

vllm:request_max_num_generation_tokens

Histogram of the maximum number of requested generation tokens.

vllm:request_params_n

Histogram of the n request parameter.

vllm:request_params_max_tokens

Histogram of the max_tokens request parameter.

vllm:request_success_total

Count of successfully processed requests.

vllm:spec_decode_draft_acceptance_rate

Speculative token acceptance rate.

vllm:spec_decode_efficiency

Speculative decoding system efficiency.

vllm:spec_decode_num_accepted_tokens_total

Total number of accepted tokens.

vllm:spec_decode_num_draft_tokens_total

Total number of draft tokens.

vllm:spec_decode_num_emitted_tokens_total

Total number of emitted tokens.