Optional: Configuration of AI Features
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Aligned Elements offers a range of AI (Artificial Intelligence) assisted features designed to enhance efficiency. Read more about AI features in the .
Aligned Elements can use language models provided by Microsoft’s Azure OpenAI Services. Using Azure OpenAI has the benefit of combining the advanced capabilities of OpenAI with the enterprise grade security of Microsoft Azure.
Every call to an AI language model is stateless and self-contained. This means that no conversational history is retained between requests. The AI model only processes the data explicitly provided for the current function. It has no access to your broader system or environment beyond that input.
If you use Aligned Elements hosted by Aligned AG, we will take care of your configuration. Please contact your Aligned representative or support@aligned.ch.
To activate AI features, modify the web.config file by:
Enabling OpenAI
Providing an API key
Setting additional configuration parameters as needed
Aligned Elements instances hosted by Aligned AG utilize Azure OpenAI. However, it is also possible to connect your own OpenAI API key if desired.
Set one of the following parameters in the web.config file:
You can connect your own OpenAI account by providing your API key. Refer to OpenAI on how to get your API key. Use https://demo.aligned.ch:444/encrypt to encrypt the API key.
Set the following parameters in the web.config file:
Each AI-powered feature requires its own configuration and can be customized to fit your specific needs. Configurations are stored in individual files, each corresponding to one AI function. For security, configuration files can only be accessed directly on the server. Default configuration files are located in the installation directory under the folder "AI Prompts".
The paths to these files must be defined in the web.config. Have a look at the individual files to see how to configure the corresponding AI function.
You can specify which OpenAI model to use. We recommend selecting a mini edition of the model, as it offers a good balance between performance and cost efficiency.