Chat-to-API Program Generation for Low-Code Customization
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Solution Overview
Problem
Users face challenges in customizing application functions with low or no codes, as existing services limit customization capabilities and lack assurance of correct operation even with manual code entry.
Innovation Solution
An information processing system intervenes between users and a generative AI system to facilitate function customization by converting chat messages into API calls, generating program code based on user inputs, and integrating it into application services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually enter program codes to customize application functions, then customization capability is improved, but operation complexity and risk of incorrect operation increase
Solution Approach 1:
The patent introduces an information processing system as an intermediary between the user and the generative AI system. This intermediary converts user chat messages into properly formatted API calls, manages function execution requests, and handles program code generation. The system includes components such as a chat controller that transmits messages to the AI system, receives responses, and processes function calls, thereby shielding users from the complexity of direct code manipulation while maintaining customization capability.
Solution Approach 2:
The system enables users to customize application functions through natural language chat messages without requiring manual code entry. The generative AI system automatically generates appropriate program codes based on user intentions expressed in chat messages, and the information processing system executes these codes seamlessly. This self-service approach allows users to achieve customization goals without dealing with complex coding operations.
2Ease of operation
If existing services provide low-code or no-code customization, then ease of operation is improved, but customization capability and reliability are reduced
Solution Approach 1:
The patent changes the parameter of user input from requiring code knowledge to accepting natural language chat messages. The system transforms these high-level user intentions into detailed program codes with appropriate parameters and structures. This parameter change allows users with no coding knowledge to access full customization capabilities, as the AI system handles the translation from simple chat messages to complex program implementations.
Solution Approach 2:
The patent replaces the mechanical system of manual code writing and debugging with an automated AI-based system. Instead of users directly manipulating code syntax and structure, the generative AI system automatically generates, executes, and manages program codes based on user chat messages. This substitution eliminates the need for users to understand programming mechanics while maintaining full customization capability.
3Productivity
If the system generates and executes program codes automatically, then productivity is improved, but system complexity increases
Solution Approach 1:
The patent segments the system into distinct functional components: a chat controller for message transmission and response reception, a function execution manager for handling API calls, and a program code generator for creating executable code. Each component has a specific responsibility, allowing the complex task of automated code generation and execution to be divided into manageable segments that can be developed, maintained, and debugged independently.
Data Source
AI summary
An information processing apparatus communicably connected with a terminal apparatus and a generative artificial intelligence (AI) system via a network, which includes circuitry that: transmits, to the generative AI system, a chat message received from the terminal apparatus, setting information related to generation of a program code, and information for calling a function; receives a request from the generative AI system, the request being transmitted by the generative AI system based on the chat message, the setting information, and the information for calling the function; and with execution of the function, generates the program code related to the request based on a parameter included in the request.