System Architecture Overview

Architectural Diagram

A detailed diagram (see Appendix A) illustrates the interplay between front-end clients, the backend server, hybrid inference engines, quality verification modules, blockchain-based token management, external integration services, and the memory sharing protocol.

Appendix A.

Components

1. Frontend

   • Creator Interface: Allows configuration, creation, and management of Agents (setting their lore, style, domain knowledge, etc.).

   • User Interface: Used by general users to chat with Agents and view rewards.

2. Agent Manager

   • Responsibilities:

     • Maintains the registry of all Agents and their configurations.

     • Handles agent-specific business logic, such as conversation routing and state management.

     • Interfaces with the LLM Engine to pass context and receive responses.

   • Architecture:

     • Stateless microservice deployed in containers, scalable horizontally.

     • Uses a relational database or document store for persistence of Agent configurations.

3. LLM Engine

   • Responsibilities:

     • Generates chat responses based on incoming user messages and Agent context.

     • Evaluates user messages for quality using custom scoring metrics.

     • Supports real-time interactions and asynchronous batch processing for fine-tuning data.

   • Architecture:

     • Deployed on GPU-enabled servers or specialized hardware accelerators.

     • Uses container orchestration (e.g., Kubernetes) to scale based on demand.

     • Modular design to allow plugging in alternative models (e.g., GPT-J, LLaMA, custom fine-tuned models).

4. Data Storage

   • User Messages: Captures conversation history and annotations (quality evaluations).

   • Fine-tuning Dataset: Periodically aggregated from flagged high-quality interactions.

   • Agent Configuration: Stores the lore, style, and custom logic associated with each Agent.

   • Databases: SQL (PostgreSQL, MySQL) or NoSQL (MongoDB) to store Agent configurations, user messages, and reward transactions.

5. Wallet & Token Module

   • Responsibilities:

     • Manages Agent wallets, token minting, token transfers, and internal ledger.

     • Interfaces with blockchain networks (if required) or an internal ledger system.

     • Provides APIs to trigger token rewards based on quality assessments.

   • Architecture:

     • Microservice with dedicated security measures, including encrypted key storage.

     • Supports smart contract integration for blockchain-based tokens.