Dialogue Model Orchestrator Mesh for Multi-Competency Query Routing

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Solution Overview

Problem

Modern virtual assistants using a rules-based approach are limited in handling queries or commands that exceed their predefined scope, as they lack the capability to provide meaningful responses for unstructured data due to their finite set of rules.

Innovation Solution

A computer-implemented method and system that uses a mesh configuration user interface to create a model orchestration mesh, enabling the integration and dynamic invocation of multiple disparate AI dialogue models to handle diverse dialogue competencies through a graphical environment, allowing for real-time construction of socket nodes and transitions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a rules-based approach is used to implement a virtual assistant, then the system can provide deterministic responses to specific queries, but the system cannot handle queries that exceed the predefined scope of rules

Engineering Contradiction:

Improvecapability to handle diverse queriesVSAvoidnumber of predefined rules

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the virtual assistant system into multiple specialized AI dialogue models, each responsible for specific dialogue competencies (e.g., task completion, information extraction, conversational response). This segmentation allows the system to handle diverse queries by routing them to appropriate specialized models rather than requiring a single comprehensive rule set, thereby improving adaptability while managing complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements a universal orchestrator mesh that can dynamically invoke multiple disparate AI dialogue models based on query requirements. This universal orchestrator provides multi-functionality by serving as a centralized coordination layer that adapts to different query types by selecting and combining appropriate specialized models, enabling the system to handle diverse queries beyond any single model's expertise.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If multiple disparate AI dialogue models are integrated to handle diverse competencies, then the system's adaptability improves, but the complexity of configuring and managing the models increases

Engineering Contradiction:

Improvedialogue competency coverageVSAvoidorchestration mesh configuration

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an orchestrator mesh as an intermediary layer between user queries and multiple AI dialogue models. This mediator automatically routes queries to appropriate models based on their specialized competencies, managing the complexity of coordinating multiple models without requiring manual configuration for each query type. The orchestrator mesh simplifies model integration by providing standardized interfaces and automatic routing logic.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements a dynamic orchestrator mesh that can adaptively select and combine different AI dialogue models based on real-time query characteristics and model performance. This dynamic configuration allows the system to optimize model usage patterns without fixed pre-programming, automatically adjusting which models are invoked for which queries based on learned patterns and current system state, thereby managing complexity through adaptive behavior rather than static configuration.

Inventive Principle:

Principle #15Dynamics

3Ease of operation

If a graphical user interface is provided for configuring the model orchestration mesh, then the ease of operation improves, but the system requires more sophisticated software infrastructure

Engineering Contradiction:

Improvemodel configuration processVSAvoidsoftware infrastructure

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces manual, code-based configuration mechanisms with a graphical user interface that allows users to visually configure the orchestrator mesh and model connections. This substitution transforms the mechanical process of writing and debugging orchestration code into an intuitive drag-and-drop or click-based visual configuration process, significantly improving ease of operation while the underlying software infrastructure handles the complexity of translating visual configurations into functional model orchestration.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12505620B2Systems and methods for intelligently configuring and deploying a model orchestrator mesh of a machine learning-based dialogue system using a graphical user interface

Publication Date: 2025.12.23 CLINC INC

AI summary

A system, method, and computer-program product includes instantiating a user interface (UI) that provides a user with a graphical environment for creating a model orchestration mesh controlling an operation of a plurality of disparate AI dialogue models, automatically installing, within the graphical environment of the UI, a root socket node, digitally assigning a first disparate AI dialogue model of the plurality of disparate AI dialogue models to the root socket node, automatically generating, within the graphical environment of the UI, a plurality of distinct mesh socket nodes, receiving, via the UI, an input from the user selecting a graphical UI control element displayed on the UI that, when selected, changes a state of the UI to an interactive gesture-based tracking state, constructing, within the graphical environment of the UI, a plurality of graphical socket transitions while the UI is in the interactive gesture-based tracking state.