Response Arbitration for Multi-Component Natural Language Queries
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Solution Overview
Problem
Existing natural language processing systems are limited in their ability to effectively integrate and combine responses from multiple types of components, such as APIs and LLM-based agents, leading to suboptimal user interactions and potential ambiguities in processing user inputs.
Innovation Solution
A system that utilizes a response arbitration component to process and select responses from various components like APIs and LLM-based agents, incorporating user context and preferences to generate coherent and actionable outputs, while ensuring compliance with user permissions and regulatory standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of components (APIs and LLM-based agents) are integrated to process user inputs, then the system's functionality and response quality are improved, but the complexity of integrating and coordinating these components increases
Solution Approach 1:
The patent introduces an orchestrator component as an intermediary that coordinates between multiple APIs and LLM-based agents. This orchestrator manages the integration complexity by providing a unified interface for routing user inputs to appropriate components and aggregating their responses, thereby enabling versatile functionality without proportionally increasing system complexity.
2Measurement precision
If a response arbitration component is added to select and combine responses from multiple components, then the clarity and coherence of outputs are improved, but the processing time and system complexity increase
Solution Approach 1:
The patent implements preliminary action by having the orchestrator pre-establish routing rules and component availability status before user inputs arrive. The response arbitration component is pre-configured with selection criteria and weighting factors for different component responses. This preparation reduces the actual processing time during user interactions while maintaining output clarity through systematic response selection and combination.
3Ease of operation
If user context and preferences are incorporated into the response selection process, then the relevance and personalization of outputs are improved, but the computational requirements and processing complexity increase
Solution Approach 1:
The patent applies local quality by selectively incorporating user context and preferences only where relevant to specific types of responses or components, rather than uniformly processing all responses through complex personalization algorithms. The orchestrator routes context-aware processing to components that benefit most from it, maintaining a balance between personalized user experience and manageable processing complexity.
Data Source
AI summary
Techniques for determining one or more responses associated with one or more components that are responsive to a user input are described. The system receives a user input and causes one or more components to generate one or more responses associated with the user input. The system determines one or more of the responses are responsive to the user input, causes one or more actions associated with the responses to be performed, and outputs a natural language summary of the one or more responses. If the system determines that none of the responses are responsive to the user input and/or an ambiguity exists with respect to the user input, the system can generate a request for additional information usable to resolve the ambiguity, which may be sent to another component of the system and/or output to the user that provided the user input.