Monitoring your OpenAI requests via Dynatrace, you can get cost analysis and forecast estimation via Davis AI, prompt and completion recording, error tracking, performance metrics of your AI services, and more.
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Instrumentation
The Dynatrace backend exclusively works with delta values and requires the respective aggregation temporality. Make sure your metrics exporter is configured accordingly, or set the OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE environment variable to DELTA.
We can leverage OpenTelemetry to provide autoinstrumentation that collects traces and metrics of your AI workloads, particularly OpenLLMetry that can be installed with the following command:
pip install traceloop-sdk
Afterward, add the following code at the beggining of your main file.
We can leverage OpenTelemetry to provide autoinstrumentation that collects traces and metrics of your AI workloads, particularly OpenLLMetry that can be installed with the following command:
npm i @opentelemetry/exporter-trace-otlp-proto
Afterward, add the following code at the beggining of your main file.