Logs¶
Logs are system records that contain information about input and output messages that AI Agents receive and send. The primary purpose of the logs is to debug workflows by observing if and where errors are occurring.

You can track logs in real time or load the log history to review outputs that occurred in the past.
Copying Log Entries
To improve browser performance, the log list uses virtualization. This means your browser loads only the log entries visible on your screen at any given time. As a result, you can't copy more lines than what's currently visible.
Log entries¶
The following table provides an overview of the log entries.
Field | Description |
---|---|
timestamp |
The date and time of the log entry. The format is YYYY-MM-DD HH:MM:SS . |
log type |
One of the following log entry types:
|
message |
Describes the event of the log entry. |
metadata |
Additional data associated with the log entry, for example, organisationID , flowID , text , and other. |
Working with Logs¶
In Test > Logs, you can view and filter Project logs as well as search them by user ID and Flow name.
Settings
To configure the log entries displayed in the log list, use the following settings:
Setting Name | Function |
---|---|
Live Logging | Activates real-time log updates. This setting is activated by default. |
Show Timestamp | Includes the timestamp of the log entries. This setting is activated by default. |
Show Additional Metadata | Includes metadata related to input and output messages. This setting is activated by default. |
Info | Includes log entries of the info type. This setting is activated by default. |
Error | Includes log entries of the error type. This setting is activated by default. |
Debug | Includes log entries of the debug type. This setting is deactivated by default. |
You can view the logs of a Project with the Cognigy.AI API.