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Shows the total number of requests received by Endpoints over time. This metric is useful for monitoring traffic volume and identifying usage patterns.
Shows the total number of errors occurred during the execution of Endpoint Transformers in Cognigy.AI. Errors in Endpoint Transformers can disrupt the data flow between Cognigy.AI and external services, potentially affecting the accuracy and reliability of integrations.
Shows the time, in milliseconds, taken to process all active Endpoint transformers. This metric helps monitor the performance and responsiveness of active Endpoint transformers. High processing times may indicate bottlenecks, misconfigurations, or delays in communication with external services.
Shows the time, in milliseconds, taken to process a single message through Endpoint transformers. This metric helps identify problematic messages or anomalies in processing time.
