Introduction

The CASE software utilizes a configuration file to manage various settings that influence its behavior and functionality. Below is a breakdown of each setting available in the configuration file and its purpose.

-settings -update SettingName:True

SFile

Value: logConfig.dat

This setting specifies where the encrypted password accessing the Settings.conf file is stored and what the filename of it is. This file will be stored in the same directory as the CASE.exe application.

GPU

Value: (empty)

This setting allows you to specify the GPU to be used by the application for AI-related tasks. If left empty, the system's default GPU will be used if available, this is automatically scannerd by the python library, so should only be updated by advanced users.

Model

Value: {MODELNAME}.gguf

This setting specifies the AI model used by the application.

BaseDirectoryPath

Value: C:\Path\To\CASE\Directory\

This setting defines the base directory path where the CASE software and related files are stored. It serves as the root directory for other paths within the application.

TemporaryScreenCapturePath

Value: C:\Path\To\Temporary\Image\Locations\

This setting specifies the path where temporary screen captures are stored during the application's runtime and RPA scanning of the system, these files are immediately deleted during the process.

StorageMethod

Value: FlatFile

This setting determines the method used for storing data. In this case, 'FlatFile' indicates that data will be stored in a simple file-based format rather than a database.

FlatFilePath

Value: C:\Path\To\CASE\Directory\

This setting defines the path where flat files are stored, used by the application to save and retrieve data.

ImageStorageDirectory

Value: C:\Path\To\CASE\Directory\find\

This setting specifies the directory where images are stored for use in RPA (Robotic Process Automation) tasks and other visual data processing.

ModelRepository

Value: C:\Path\To\GPT4All\Host\*.gguf Files\

This setting indicates the directory where AI models are stored, particularly for use with GPT4All and other AI-related operations.

DisplayAscii

Value: True/False

This setting controls whether the ASCII art are displayed at the top of the CASE application on load.

InterfacingStructure

Value: \Conversations\:[Username],[Message],[Screen],[DT],[Receiver],[Submitted],[WaitingOnResponse],[Answered],[ActionPerformed],[TimeToProcess],[CommandsActivated],[id]

This setting defines the structure for interfacing with conversations within the application, detailing the fields used for tracking conversation metadata.

RPAStorageStructure

Value: \RPA\:[Command],[codeToExecute],[Software],[LastUsed],[Dynamic]

This setting specifies the structure for storing RPA commands, including details such as the command, code to execute, associated software, last used date, and whether the command is dynamic.

LoggingStructure

Value: \Logs\:[sessionid],[logmessage]

This setting defines the structure for storing log data, including session IDs and log messages generated during the application's operation.

MonitoringStructure

Value: \Monitoring_Queue\:[Datapoint],[startTime],[endTime],[Parameter],[AlarmValue],[RPA]

This setting specifies the structure for monitoring queues, used to track data points, timing, parameters, alarm values, and associated RPA commands.

SessionsStructure

Value: \CaseSessions\:[session],[startDT],[endDT],[username]

This setting defines the structure for storing session information, including session IDs, start and end times, and the username associated with each session.

SQLConnectionString

Value:Server=LOCALHOST\SQLExpress;Database=Case;Integrated Security=True;

This setting allows you to specify the connection string for SQL database connections, enabling database interactions within the application.

ConversationalTrainingModel

Value: C:\Path\To\Templating\Python\Files\initCaseTemplate.py

This setting specifies the path to the conversational training model template used to train the CASE software's conversational AI capabilities.

ConversationalTrainingModelData

Value: C:\Path\To\Templating\Python\Files\initCase.Conversational.txt

This setting defines the path to the data file used in conjunction with the conversational training model for training the AI's conversational abilities.

AnalysisTrainingModel

Value: C:\Path\To\Templating\Python\Files\initAnalysisTemplate.py

This setting specifies the path to the analysis training model template used to train the CASE software's data analysis capabilities.

AnalysisTrainingModelData

Value: C:\Path\To\Templating\Python\Files\initCase.Analysis.Empty.txt

This setting defines the path to the data file used in conjunction with the analysis training model for training the AI's analysis capabilities.

AI.ReceivedTokens

Value: 2048

This setting specifies the number of tokens received by the AI model during processing, influencing the input size the model can handle.

AI.GPULayers

Value: 100

This setting defines the number of GPU layers utilized by the AI model, impacting the depth and performance of AI computations on compatible hardware.

AI.MaxTokensSent

Value: 4096

This setting specifies the maximum number of tokens that can be sent by the AI model during a single operation, influencing the output size and complexity of responses.

AI.Temperature

Value: 0.7

This setting controls the creativity of the AI model's responses, with higher values producing more varied outputs. The default value is set to 0.7.

AI.Top_K

Value: 40

This setting determines the number of highest probability vocabulary tokens considered by the AI model when generating text. A higher value results in more diverse responses, while a lower value focuses on the most probable choices.

AI.Top_P

Value: 0.4

This setting, also known as "nucleus sampling," controls the cumulative probability threshold for token selection. The model considers tokens with a cumulative probability up to the specified value, ensuring a balance between diversity and coherence in the generated text.

AI.Min_P

Value: 0.0

This setting specifies the minimum cumulative probability for token selection. A value of 0.0 means no minimum probability threshold is applied, allowing for the full range of potential outputs.

AI.Penalty

Value: 1.18

This setting applies a penalty to repeated tokens, reducing the likelihood of generating repetitive text. A higher penalty encourages more diverse and varied outputs.

AI.Repeat_Last_N

Value: 64

This setting determines the number of recent tokens to consider when applying the repetition penalty. It helps the model avoid repeating phrases or words excessively within the specified range.

AI.ConsumptionBatch

Value: 128

This setting defines the batch size of tokens processed at a time during AI operations, affecting the speed and efficiency of text generation.

AI.ShowLoadTimes

Value: True/False

This setting enables or disables the display of model load times in the application, providing insights into the performance of AI operations.

AI.SimulateTyping

Value: True/False

This setting simulates typing by gradually displaying text output, enhancing the user experience during interactions with the AI model.

CaseStable

Value: True/False

This is a boolean configured by the application after checking for the Settings.conf file. If it does not find a stable and properly configured Settings.conf file, it will set this value to 'False'.

BypassLLM

Value: True/False

This setting determines whether to bypass the use of the Large Language Model (LLM) in certain operations. Setting this to 'False' ensures that the LLM is utilized as intended.