# LogApi (Logging APIs) ## setLogLevel Sets the log level. The valid values are debug, info(default), warning or error ``` LogApi.setLogLevel(logLevel) ``` **Parameters** ``` logLevel: level ``` **Returns** ``` result of operation​ ``` ## disableAuditLog Disables the audit log, which is used for logging to Trillo DB. By default it is enabled ``` LogApi.disableAuditLog() ``` **Parameters** ``` none​ ``` **Returns** ``` result of the operation​ ``` ## enableAuditLog Enables the audit log. This is the default option and is used for logging into Trillo DB. Helps in isolating errors per task ``` LogApi.enableAuditLog() ``` **Parameters** ``` none​ ``` **Returns** ``` result of the operation​ ``` ## disableLogsCollection Disable log collections for the thread. Logs are collected for ac all and sent back to the client in the result. This is useful in debugging. By default it is disabled ``` LogApi.disableLogsCollection() ``` **Parameters** ``` none​ ``` **Returns** ``` result of the operation​ ``` ## enableLogsCollection Enable log collections for the thread ``` LogApi.enableLogsCollection() ``` **Parameters** ``` none​ ``` **Returns** ``` result of the operation​ ``` ## logDebug logging of the debug and verbose messages. ​ ``` LogApi.logDebug(msg) ``` **Parameters** ``` msg: message string ``` **Returns** ``` result of the operation​ ``` ## logInfo logging an informational and occasional message​. ``` LogApi. logInfo(msg) ``` **Parameters** ``` msg: message string ``` **Returns** ``` result of the operation​ ``` ## logWarn Provides a warning message ``` LogApi.logWarn(msg) ``` **Parameters** ``` msg: message string ``` **Returns** ``` result of the operation​ ``` ## logError Provides an error message ``` LogApi.logError(msg) ``` **Parameters** ``` msg: message string ``` **Returns** ``` result of the operation​ ``` ## isLogLevelOn Describes if the log level is on and returns a boolean. ``` LogApi.isLogLevelOn(type) ``` **Parameters** ``` type: type string of the logging ``` **Returns** ``` result of the operation​ ``` ## auditLog Sends an audit message to the workbench. It can be viewed under the task logs.​ ``` LogApi.auditLog(logObject) or LogApi.auditLog(String type, String summary, String ...args) ``` **Parameters** ``` logObject: object representing dictionary summary: a string sentence with tokens ...args: arguments of type string to be replaced type: type string of the log ``` **Returns** ``` result of the operation​ ``` ## \_auditLog // Description // ``` LogApi._auditLog(type, summary, detail, json, action, sourceUid) ``` #### Parameters ``` summary: string detail: string json: string action: string sourceUid: string ``` #### Returns ``` // Some code ``` ## auditLogInfo This provides the information stored in the Audit log object which includes detailed log message, any associated json object, action and the parent id. ``` LogApi.auditLogInfo(summary, ...args) ``` **Parameters** ``` summary: a string sentence with tokens ...args: the string values of the tokens ``` **Returns** ``` result of the operation​ ``` ## auditLogError Provides information about the error in the Audit log object ``` LogApi.auditLogError(summary, ...args) ``` **Parameters** ``` summary: string ...args: string ``` **Returns** ``` ``` ## canAuditLog For a given logging type, checks whether audit messages can be recorded ``` LogApi.canAuditLog(type) ``` **Parameters** ``` type: string logging type ``` **Returns** ``` ``` ## logToConsole Logs the appropriate messages to the console ``` LogApi.logToConsole(type, msg) ``` **Parameters** ``` type: string msg: string ``` **Returns** ``` ``` --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://trillo.gitbook.io/trillo-workbench-python-sdk/log-api-logapi.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.