39 lines
1.6 KiB
Markdown
39 lines
1.6 KiB
Markdown
# Production Metrics
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vLLM exposes a number of metrics that can be used to monitor the health of the
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system. These metrics are exposed via the `/metrics` endpoint on the vLLM
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OpenAI compatible API server.
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You can start the server using Python, or using [Docker](#deployment-docker):
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```console
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vllm serve unsloth/Llama-3.2-1B-Instruct
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```
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Then query the endpoint to get the latest metrics from the server:
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```console
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$ curl http://0.0.0.0:8000/metrics
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# HELP vllm:iteration_tokens_total Histogram of number of tokens per engine_step.
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# TYPE vllm:iteration_tokens_total histogram
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vllm:iteration_tokens_total_sum{model_name="unsloth/Llama-3.2-1B-Instruct"} 0.0
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vllm:iteration_tokens_total_bucket{le="1.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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vllm:iteration_tokens_total_bucket{le="8.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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vllm:iteration_tokens_total_bucket{le="16.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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vllm:iteration_tokens_total_bucket{le="32.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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vllm:iteration_tokens_total_bucket{le="64.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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vllm:iteration_tokens_total_bucket{le="128.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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vllm:iteration_tokens_total_bucket{le="256.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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vllm:iteration_tokens_total_bucket{le="512.0",model_name="unsloth/Llama-3.2-1B-Instruct"} 3.0
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...
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```
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The following metrics are exposed:
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:::{literalinclude} ../../../vllm/engine/metrics.py
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:end-before: end-metrics-definitions
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:language: python
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:start-after: begin-metrics-definitions
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:::
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