Multi-Agent Response Generation for Richer Dialog Context
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Solution Overview
Problem
Existing systems struggle to integrate different information perspectives effectively, leading to challenges in generating multi-perspective responses that are coherent, relevant, and contextually rich, while ensuring user privacy and reducing response time.
Innovation Solution
The assistant system determines dialog-intents associated with a user query, selects appropriate agents, and uses relevance scores, filtering and information gain to stitch together execution results from these agents, employing sequential-language models and predefined rules to ensure logical and personalized responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple agents are used to provide different information perspectives, then the contextuality and richness of responses are improved, but the response time and system complexity increase
Solution Approach 1:
The system segments the response generation process by assigning different information perspectives to separate agents (e.g., factual information agent, contextual information agent, opinion agent). Each agent independently processes and generates content for its specific perspective, allowing parallel execution and reducing overall response time while maintaining comprehensive contextual coverage.
Solution Approach 2:
The system merges the outputs from multiple specialized agents into a unified coherent response. The response generator integrates factual information, contextual details, and opinions from different agents, combining them into a single multi-perspective response that maintains logical flow and coherence while delivering rich contextual information.
2Loss of information
If multiple agents are used to provide different information perspectives, then the contextuality and richness of responses are improved, but the system complexity increases
Solution Approach 1:
The system implements a universal response generator that can handle multiple information perspectives through a single integrated component. This multi-functional generator is capable of processing and synthesizing outputs from various specialized agents, managing different perspectives (factual, contextual, opinion-based) through one unified mechanism rather than requiring separate processing systems for each perspective.
Solution Approach 2:
The response generator acts as an intermediary that mediates between multiple specialized information agents and the final user output. It receives diverse inputs from different agents, reconciles potentially conflicting information, and produces a unified coherent response, thereby simplifying the overall system architecture by providing a central coordination point.
3Reliability
If execution results from multiple agents are integrated, then the coherence and relevance of responses are improved, but the difficulty of managing and stitching results increases
Solution Approach 1:
Each information agent performs preliminary processing and structuring of its output data before submission to the response generator. Agents pre-format their contributions with clear identifiers, confidence scores, and structural markers, enabling the response generator to more easily integrate and stitch results coherently without requiring complex real-time coordination and management logic.
Data Source
AI summary
In one embodiment, a method includes receiving, from a client system, a user query inputted on the client system, wherein the user query corresponds to a plurality of dialog-intents, executing a plurality of tasks corresponding to the plurality of dialog-intents, generating a multi-perspective response based, at least in part, on a plurality of execution results corresponding to the plurality of tasks, respectively, wherein the multi-perspective response comprises a natural-language response that combines the plurality of execution results based, at least in part, on natural-language processing, and sending, to the client system, the multi-perspective response for presentation.