Metrics

TGI exposes multiple metrics that can be collected via the /metrics Prometheus endpoint. These metrics can be used to monitor the performance of TGI, autoscale deployment and to help identify bottlenecks.

The following metrics are exposed:

Metric Name	Description	Type	Unit
tgi_batch_current_max_tokens	Maximum tokens for the current batch	Gauge	Count
tgi_batch_current_size	Current batch size	Gauge	Count
tgi_batch_decode_duration	Time spent decoding a batch per method (prefill or decode)	Histogram	Seconds
tgi_batch_filter_duration	Time spent filtering batches and sending generated tokens per method (prefill or decode)	Histogram	Seconds
tgi_batch_forward_duration	Batch forward duration per method (prefill or decode)	Histogram	Seconds
tgi_batch_inference_count	Inference calls per method (prefill or decode)	Counter	Count
tgi_batch_inference_duration	Batch inference duration	Histogram	Seconds
tgi_batch_inference_success	Number of successful inference calls per method (prefill or decode)	Counter	Count
tgi_batch_next_size	Batch size of the next batch	Histogram	Count
tgi_queue_size	Current queue size	Gauge	Count
tgi_request_count	Total number of requests	Counter	Count
tgi_request_duration	Total time spent processing the request (e2e latency)	Histogram	Seconds
tgi_request_generated_tokens	Generated tokens per request	Histogram	Count
tgi_request_inference_duration	Request inference duration	Histogram	Seconds
tgi_request_input_length	Input token length per request	Histogram	Count
tgi_request_max_new_tokens	Maximum new tokens per request	Histogram	Count
tgi_request_mean_time_per_token_duration	Mean time per token per request (inter-token latency)	Histogram	Seconds
tgi_request_queue_duration	Time spent in the queue per request	Histogram	Seconds
tgi_request_skipped_tokens	Speculated tokens per request	Histogram	Count
tgi_request_success	Number of successful requests	Counter
tgi_request_validation_duration	Time spent validating the request	Histogram	Seconds

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