๐System Modules
Claudius AI is designed as a modular, loosely coupled system, where each module is responsible for a clearly defined capability. This architecture allows independent iteration, controlled evolution, and reliable orchestration without exposing internal infrastructure or third-party dependencies.
Modules communicate through structured interfaces and are coordinated by a central orchestration layer.
Module Overview
Each module focuses on one responsibility, ensuring high cohesion and predictable behavior.
1. Language Interpretation Module
Purpose Transforms natural language input into structured, machine-readable intent.
Responsibilities
Language detection and normalization
Multi-language input handling
Semantic parsing
Intent identification
Entity extraction
Multi-part request decomposition
Context enrichment
Flow
Output A structured request containing intent, parameters, and contextual metadata.
2. Intent Orchestration Module
Purpose Routes structured requests to the appropriate system capability.
Responsibilities
Intent-to-action mapping
Validation of required parameters
Handler selection
Execution sequencing
Handler Categories
Exchange & Swap Handling
Market Analysis
Asset Comparison
Educational Queries
Market Context Requests
Flow
Output Action-specific results prepared for response construction.
3. Market Intelligence Module
Purpose Provides normalized, validated market and asset data.
Responsibilities
Real-time market data aggregation
Historical data retrieval
Price and volume normalization
Market context enrichment
Data validation and consistency checks
Flow
Output Clean, consistent market data ready for analysis and interpretation.
4. Technical Analysis Module
Purpose Generates technical indicator context and market structure insights.
Responsibilities
Indicator computation
Multi-timeframe support
Trend and momentum evaluation
Volatility and volume context
Support and resistance identification
This module does not generate predictions, signals, or numeric risk scores. It provides structured analytical context for interpretation.
Flow
Output Indicator values and analytical context suitable for explanation.
5. Transaction Orchestration Module
Purpose Coordinates assisted, non-custodial exchange execution.
Responsibilities
Swap preparation and validation
Rate and network compatibility checks
Transaction lifecycle coordination
Status tracking and updates
Error handling and recovery
Flow
Output Real-time transaction state and execution feedback.
6. Response Construction Module
Purpose Transforms system outputs into user-facing responses.
Responsibilities
Natural language response generation
Structured data formatting
Visualization-ready data preparation
Localization and language adaptation
Multi-modal response assembly
Response Types
Textual explanations
Structured summaries
Data tables and visual overlays
Interactive execution prompts
Flow
Output A formatted response ready for frontend consumption.
7. State Management Module
Purpose Maintains continuity across conversations and transactions.
Responsibilities
Conversation context tracking
Session-level preferences
Transaction state persistence
Temporary cache coordination
Flow
Output Up-to-date session and transaction context for downstream processing.
8. Real-Time Communication Module
Purpose Delivers live updates and event-driven notifications.
Responsibilities
Real-time message delivery
Event classification
Connection state management
Deferred message handling
Event Types
Transaction lifecycle updates
Market-triggered notifications
System-level alerts
Flow
Output Timely updates delivered to active clients.
Architectural Principles
Claudius is built around the following principles:
Modularity over monoliths
Explicit boundaries between data, logic, and reasoning
No hidden execution or opaque automation
Explainability at every stage
Non-custodial, user-controlled execution
Each module works in harmony to deliver the complete Claudius AI experience. Explore the AI Engine, Backend Infrastructure, and Frontend Infrastructure to see how these modules integrate.
Last updated