Add TTFT & ITL Metrics for LLM Inference (#28)
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Time-to-First-Token (TTFT) and Inter-Token Latency (ITL) metrics for LLM inference observability

Metrics: llm_ttft_seconds, llm_itl_seconds, llm_tokens_total

Closes #31 #32 #33

---------

Co-authored-by: poimen <[email protected]>
Reviewed-on: #28
This commit was merged in pull request #28.
This commit is contained in:
2026-09-15 08:53:58 +00:00
co-authored by poimen
parent 30e0a83a50
commit d439536ca9
22 changed files with 2224 additions and 199 deletions
+28
View File
@@ -0,0 +1,28 @@
package observability
import (
"net/http"
)
// MetricsHandler serves Prometheus metrics
type MetricsHandler struct {
exporter *PrometheusExporter
}
// NewMetricsHandler creates a new metrics handler
func NewMetricsHandler(m *Metrics) *MetricsHandler {
return &MetricsHandler{
exporter: NewPrometheusExporter(m),
}
}
// ServeHTTP implements http.Handler for Prometheus /metrics endpoint
func (h *MetricsHandler) ServeHTTP(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "text/plain; version=0.0.4; charset=utf-8")
w.Header().Set("Cache-Control", "no-cache, no-store, must-revalidate")
w.Header().Set("Pragma", "no-cache")
w.Header().Set("Expires", "0")
w.WriteHeader(http.StatusOK)
w.Write([]byte(h.exporter.Export()))
}