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Agentiqs Usage Environment

What is required to set up the environment?

The following is required to use Agentiqs:

  • PC: Windows 11 OS
  • LLM: For the target LLM, please refer to the "Supported LLM" section of the product's operating environment on the product's website (https://www.agentiqs.app/requirement/).
LLM License

This is a separate license from the Agentiqs license and must be contracted by the user themselves.

Can it be used in environments with internal security restrictions? (e.g., prohibition of external APIs)

Agentiqs is a locally executed application.
Knowledge such as design documents and source code is processed within the company environment and is not stored in the cloud.

However, external API communication occurs when using Generative AI (LLM).
Therefore, prior confirmation is required if any of the following restrictions apply:

  • Prohibition of external API communication
  • Communication permitted only for specific domains
  • Internet-blocked environment
  • Cloud usage prohibition policy

If the environment allows the use of enterprise-grade AI services such as Azure OpenAI, it can be used in compliance with security policies.

Will it work in an environment where Microsoft Copilot is running?

Agentiqs is configured to use the OpenAI or Azure OpenAI API.
If the environment allows the use of Azure OpenAI, it can be used in compliance with enterprise security requirements.
However, even if Copilot is available, if the use of external APIs (OpenAI/Azure OpenAI) is not permitted, it may be difficult to use.

It says it runs locally, but is a high PC specification required?

A high specification is not necessarily required at all times.

  • The load is most likely to be high during the initial knowledge generation (indexing of a large number of files).
  • The generation process itself is executed on the OpenAI/Azure OpenAI API side,
    so During normal use, the PC load mainly consists of pre-processing, searching, and input/output.

During implementation, you can adjust the operation by narrowing the scope to process units or running the index at night.