ACAI — Adaptive Cognitive AI Architecture
Chapter 1 — Core Foundation 1.1 Objective The first version of ACAI should begin with a small, working core rather than attempting to implement the entire architecture at once. The Chapter 1 pipeline is: User ↓ FastAPI ↓ ACAI Orchestrator ↓ Model Service ↓ AI Model ↓ Response The first implementation uses a Mock Model so the system can be tested without requiring an external API key. 1.2 Project…
The ACAI Adaptive Cognitive AI Architecture project aims to develop a small, working core system with a focus on implementing the core functionalities first. The system is structured around a user pipeline that includes a FastAPI service, an ACAI Orchestrator, a Model Service, and an AI Model. Initially, a Mock Model is used for testing purposes, allowing the system to be tested without the need for an external API key.
The project structure is organized into a backend folder containing various components such as app, orchestrator, services, tests, and configuration files. To set up the environment, users are instructed to create a virtual environment, install the required dependencies from a requirements.txt file, and configure the necessary environment variables.
The configuration file specifies the app name, version, environment, model provider, and model name, with the option to use a mock model for testing.
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