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I was looking at the metrics output and found that the raw HTTP ones are formatted differently:
# HELP http_client_requests_seconds
# TYPE http_client_requests_seconds summary
http_client_requests_seconds_count{clientName="api.openai.com",method="POST",outcome="SUCCESS",status="200",uri="/chat/completions",} 2.0
http_client_requests_seconds_sum{clientName="api.openai.com",method="POST",outcome="SUCCESS",status="200",uri="/chat/completions",} 4.791650208
# HELP http_client_requests_seconds_max
# TYPE http_client_requests_seconds_max gauge
http_client_requests_seconds_max{clientName="api.openai.com",method="POST",outcome="SUCCESS",status="200",uri="/chat/completions",} 2.70089925
while we have:
# HELP langchain4j_aiservices_TriageService_triage_seconds
# TYPE langchain4j_aiservices_TriageService_triage_seconds summary
langchain4j_aiservices_TriageService_triage_seconds_count 2.0
langchain4j_aiservices_TriageService_triage_seconds_sum 4.992278791
# HELP langchain4j_aiservices_TriageService_triage_seconds_max
# TYPE langchain4j_aiservices_TriageService_triage_seconds_max gauge
langchain4j_aiservices_TriageService_triage_seconds_max 2.706755083
I think we need to align. In Quarkus, we use tags massively to reduce the number of keys. So, it might be better to follow that principle and have:
I was looking at the metrics output and found that the raw HTTP ones are formatted differently:
while we have:
I think we need to align. In Quarkus, we use tags massively to reduce the number of keys. So, it might be better to follow that principle and have:
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