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djAI installation and configuration
Preparation
djAI is easy to install and use. The software consists of two components:
- A web service providing an API with various functions. The web service runs on Windows and Linux machines with .net 7 Core.
- A client connecting with the web service. The client runs on Windows with .net 7.
For single-user application of the FREE personal / test / development edition, the web service is typically started on the same machine as the client. However, it is technically possible to run the service on a separate server machine even for the FREE edition, and you are allowed to do so, as long as you obey the other usage limitations of the FREE license.
In multi-user applications (for which you must buy a license in any case, even if they are non-commercial), running the service on a server machine is the common case, and you have the choice between Windows and Linux servers running .net 7 Core.
- Download the software to a temporary folder from here: djAI service and client download
- Unzip the zip package.
- Move the folder
djAI
to the server machine. - Move the folder
djAIClient
to the client machine.
djAI web service installation
Option 1: Installation of the web service on the same machine as the Windows client
- Install .net 7 Core.
- Move the folder
djAI
to Documents or another suitable folder where you have write permission. - The service runs, by default, on port 5000. If you want to change the port, edit the file
djAI\run_djAI.cmd
and change the port accordingly. Do not change the IP address in local installations:dotnet djAI.dll --urls http://127.0.0.1:5000
Option 2: Installation of the web service on a server
- Install .net 7 Core.
- Move the folder
djAI
to a suitable folder. - Edit the file
run_djAI.cmd
in thedjAI
folder and change the loopback IP127.0.0.1
to the IP address you want the service to listen to. You can also change the port, if required:dotnet djAI.dll --urls http://127.0.0.1:5000
- Configure the service to start on system reboot:
- Linux: Run
crontab -e
and add the following line:@reboot /path/to/djAI/run_djAI.cmd
- Windows: Use Scheduled tasks to configure automatic start.
- Linux: Run
Configuration of the API secrets
Commercial AI models require user validation with credentials or an API secret connected to a user account to allow the model's operator to charge for using the model. djAI hides these API secrets inside the web service so neither users nor briefing authors know them. If you have a large group of users, this reduces the risk that some users take the secrets home and use the company's account for their own purposes. Instead, dj*AI asks the users for its own API secrets that users can only use in conjunction with predefined briefings that are normally not very useful for other types of application that they were meant for.
In addition, since users only have the keys to an internal service, it's easier to restrict access to that service, for example, to a VPN, and to track usage per API secret.
There are two different levels of API secrets: user and briefing author secrets. The different license models allow a different number of the two types of secrets.
User secrets may only use the functions necessary to use the predefined briefings:
- List the briefing names.
- Use inference with one of the briefings.
Briefing authors, in addition, may:
- Create, modify or delete briefings.
- Obtain a list of models available.
- Use inference with a briefing other than the predifined ones, by passing the briefing to be used together with the input data. This is necessary for dynamically created briefings from terminology, ontology or other databases.
The FREE edition only allows one briefing author secret and no user secrets. That means, you have exactly one user context with unlimited permissions. Apart from not being licensed to run the FREE edition in a multi-user context, this feature would make this quite unsafe. The editions with commercial licenses have a defined, maximum number of user and briefing author keys. If you configure more keys than allowed, the server will terminate with an error message.
API secrets are configured in the file appsettings.json
in the djAI
program folder. This is the file content as you download it:
{ "Logging": { "LogLevel": { "Default": "Information", "Microsoft.AspNetCore": "Warning" } }, "AllowedHosts": "*", "Secrets": { "User": [ ], "BriefingAuthor": [ "7654321" ] }, "License": "" }
The secrets are configured in the fields Secrets:User
and Secrets:BriefingAuthor
. There is one briefing author secret configured, "7654321". Please change the secret to a safe value that's hard to guess. To add more values to one of the key types (for which you need a commercial license), add more api secrets in double quotes, separated by commas, like in this example:
{ ... "Secrets": { "User": [ "first_new_secret", "second_new_secret" ], "BriefingAuthor": [ "7654321", "another_briefing_author_secret" ] }, ... }
The field License
contains an empty string. If you buy a commercial license, you will obtain a license key from us, which is a long, hexadecimal string. Paste the license key into the field to apply the license. The server will then adjust its API secret limits to the parameters of the license you bought.
Configuration of available AI models
djAI is not, and does not contain, a Large Language Model (LLM) by itself. Instead, it's a flexible interface to standardize and simplify AI briefing and use. The actual AI functionality is provided by external services.
Currently, djAI supports these models:
- openAI: GPT3.5 turbo. We are still on the waitlist for GPT4 and will integrate it as soon as we can access it.
- AlephAlpha: base, extended and supreme levels.
Model support is done by simple plugins that must implement an interface with very few methods. We'll implement more models as needed (integration of RedPajama running on a local video board is on the way). We'll provide the interface definition with some documentation, so anyone can write their own plugins.
In djAI, AI models are configured in the file Models.json
in the main program folder. The default file looks like this:
{ "Models": { "GPT35": { "Description": "GPT3.5 - 4k tokens", "Assembly": "djAIModels", "Type": "AiModels.Gpt35", "ApiKey": "<your openAI API key>", "Url": "https://api.openai.com/v1/chat/completions", "ChatSummaryTransform": "TBD", "ChatMaxMessagesChars": 1000, "ChatMaxPrefixChars": 1000, "Custom": { "Temperature": 0.9 } }, "AlephAlphaCompletion": { "Description": "AlephAlpha Completion Base", "Assembly": "djAIModels", "Type": "AiModels.AlephAlphaCompletion", "ApiKey": "<your AlephAlpha API key>", "Url": "https://api.aleph-alpha.com/complete", "ChatSummaryTransform": "AlephAlpha - Summarize chat", "ChatMaxMessagesChars": 1000, "ChatMaxPrefixChars": 1000, "Custom": { "Temperature": 0.9, "ModelVariant": "luminous-base" } }, "AlephAlphaCompletionExtended": { "Description": "AlephAlpha Completion Extended", "Assembly": "djAIModels", "Type": "AiModels.AlephAlphaCompletion", "ApiKey": "<your AlephAlpha API key>", "Url": "https://api.aleph-alpha.com/complete", "ChatSummaryTransform": "AlephAlpha - Summarize chat", "ChatMaxMessagesChars": 1000, "ChatMaxPrefixChars": 1000, "Custom": { "Temperature": 0.9, "ModelVariant": "luminous-extended" } }, "AlephAlphaCompletionSupreme": { "Description": "AlephAlpha Completion Supreme", "Assembly": "djAIModels", "Type": "AiModels.AlephAlphaCompletion", "ApiKey": "<your AlephAlpha API key>", "Url": "https://api.aleph-alpha.com/complete", "ChatSummaryTransform": "AlephAlpha - Summarize chat", "ChatMaxMessagesChars": 1000, "ChatMaxPrefixChars": 1000, "Custom": { "Temperature": 0.9, "ModelVariant": "luminous-supreme" } } } }}}}