graph LR
Symbolic_AI_Core["Symbolic AI Core"]
AI_Engine_Management_Configuration["AI Engine Management & Configuration"]
AI_Engine_Backends["AI Engine Backends"]
Data_Contract_Validation["Data Contract & Validation"]
AI_Workflow_Orchestration["AI Workflow Orchestration"]
User_Interfaces_Extensions["User Interfaces & Extensions"]
User_Interfaces_Extensions -- "sends symbolic representations to" --> Symbolic_AI_Core
Symbolic_AI_Core -- "dispatches AI tasks to" --> AI_Engine_Management_Configuration
AI_Engine_Management_Configuration -- "routes requests to" --> AI_Engine_Backends
AI_Engine_Backends -- "returns raw AI responses to" --> AI_Engine_Management_Configuration
AI_Engine_Management_Configuration -- "returns structured symbols to" --> Symbolic_AI_Core
Symbolic_AI_Core -- "passes symbols for validation to" --> Data_Contract_Validation
Data_Contract_Validation -- "returns validated symbols to" --> Symbolic_AI_Core
AI_Workflow_Orchestration -- "interacts with" --> Symbolic_AI_Core
AI_Workflow_Orchestration -- "interacts with" --> AI_Engine_Management_Configuration
Symbolic_AI_Core -- "provides processed symbols back to" --> User_Interfaces_Extensions
click Symbolic_AI_Core href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/symbolicai/Symbolic_AI_Core.md" "Details"
click AI_Engine_Management_Configuration href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/symbolicai/AI_Engine_Management_Configuration.md" "Details"
click AI_Engine_Backends href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/symbolicai/AI_Engine_Backends.md" "Details"
click Data_Contract_Validation href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/symbolicai/Data_Contract_Validation.md" "Details"
click User_Interfaces_Extensions href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/symbolicai/User_Interfaces_Extensions.md" "Details"
The symbolicai framework is architected as a modular AI toolkit, centered around a Symbolic AI Core that provides a unified symbolic representation for all data and operations. This core interacts with an AI Engine Management & Configuration layer, which dynamically dispatches requests to diverse AI Engine Backends (including neural and specialized models) while applying system-wide configurations and prompt templates. Data integrity is maintained by the Data Contract & Validation system, which ensures all inputs and outputs conform to defined schemas. Complex multi-step AI tasks are managed by the AI Workflow Orchestration component, enabling the creation of robust AI pipelines. User interaction is handled by User Interfaces & Extensions, which provide intuitive access to the framework's capabilities and integrate specialized functionalities. This design emphasizes modularity, extensibility, and reliable data flow, making it ideal for building sophisticated neuro-symbolic AI applications.
Symbolic AI Core [Expand]
The foundational component for data abstraction and symbolic operations, acting as the central hub for all AI-driven processes.
Related Classes/Methods:
AI Engine Management & Configuration [Expand]
Manages the dynamic registration, dispatch, and configuration of all integrated AI models and services, including prompt management.
Related Classes/Methods:
AI Engine Backends [Expand]
A collection of adapters and wrappers for various AI models (LLMs, specialized engines) that perform the actual AI computations.
Related Classes/Methods:
Data Contract & Validation [Expand]
Ensures the reliability and consistency of AI interactions by defining, validating, and remediating data against predefined schemas and contracts.
Related Classes/Methods:
Provides a flexible framework for constructing, managing, and executing complex AI workflows and pipelines.
Related Classes/Methods:
User Interfaces & Extensions [Expand]
High-level interfaces for human-AI interaction (conversational agents, intelligent shell) and specialized modules extending core functionalities.
Related Classes/Methods: