Chatbot Translation Layer for Universal Protocol Interoperability
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Solution Overview
Problem
Legacy chatbot systems lack seamless communication between multiple chatbots, requiring each to be accessed individually and trained with specific communication protocols, leading to cumbersome interactions and limited capabilities.
Innovation Solution
Implementing an internal bot network with a translation layer that enables communication using a universal protocol, allowing internal bots to communicate independently and reformating requests and responses to match external bot specifications, ensuring interoperability without requiring individual training or reformatting by each bot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple chatbots are maintained separately by different departments, then each chatbot can be customized for specific departmental needs, but communication between chatbots becomes cumbersome and requires individual access and protocol training
Solution Approach 1:
The patent introduces a translation layer as an intermediary component that sits between external chatbots and the internal bot network. This translation layer automatically translates messages between external chatbot protocols and the universal internal protocol, eliminating the need for direct protocol matching between chatbots. The intermediary handles protocol conversion transparently, allowing customized chatbots to communicate seamlessly without requiring individual protocol training or direct access between them.
2Reliability
If each chatbot is trained with specific communication protocols of other chatbots, then direct communication is possible, but the complexity of training and maintaining multiple protocols increases
Solution Approach 1:
The patent implements a universal internal protocol that all chatbots within the internal network adopt. This universal protocol serves as a common language that enables any chatbot to communicate with any other chatbot without requiring specific protocol training. The translation layer acts as a universal adapter that can handle multiple external protocols and convert them to the single universal internal protocol, significantly reducing the complexity of maintaining multiple protocol relationships.
3Ease of operation
If legacy chatbot systems are used without a translation layer, then each chatbot operates independently, but seamless communication and interoperability between chatbots cannot be achieved
Solution Approach 1:
The patent segments the communication system into two distinct layers: an internal bot network layer that operates with a universal protocol for seamless communication, and an external chatbot layer that maintains its own protocols and independence. The translation layer acts as a boundary that separates these two layers, allowing internal bots to communicate freely among themselves while external chatbots maintain their independence. This segmentation enables both independent operation and seamless communication simultaneously.
Data Source
AI summary
A system for responding to external requests received at an internal bot network is provided. The system may include an internal bot network including a plurality of internal bots. The plurality of internal bots may interact with a plurality of external bots. The system may include a translation layer/barrier. Each bot included in the plurality of internal bots and the plurality of external bots may be resident on one or more hardware processors. Each external bot may communicate using its own unique set of external specifications. Each internal bot may communicate using a universal set of internal specifications and is prevented from communicating using a set of external specifications. The translation layer/barrier may intercept requests and responses between the plurality of internal bots and the plurality of external bots. The translation layer/barrier reformats intercepted requests and responses to correspond to the set of specifications specific to the receiving bot.