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.