This case study demonstrates the integration of agent-based AI capabilities into a SaaS application architecture. The system utilizes locally hosted LLM models, accessed through a custom-built user interface.
Within the interface, a chat-style panel is implemented in the application’s sidebar to enable interaction with agents. The agents can perform actions via webhooks and operate with awareness of the SaaS application's current context. This means the AI receives the necessary information directly from the application to complete tasks effectively.