Visual AI API Flow Configuration for Direct Output Manipulation
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Solution Overview
Problem
Conventional AI model integration tools lack intuitive mechanisms for users to directly manipulate output results, are developer-driven, and impose technical limitations that hinder free expression of intent, leading to high development costs, maintainability issues, and scalability challenges.
Innovation Solution
An API utilization support system with a chest flow configuration GUI processor and a chest flow execution controller that allows users to visually construct and manage dataflows through a graphical interface, enabling flexible integration of AI models, real-time feedback, and modular separation of functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional AI model integration tools are used, then developer-driven functionality is provided, but user-friendly operability and ease of direct manipulation of output results deteriorate
Solution Approach 1:
The patent introduces a visual flow construction interface as an intermediary layer between the user and the AI model integration system. This interface allows users to directly manipulate output results through visual operations on flow elements without needing programming expertise, while the system handles the technical complexity of API integrations and model configurations in the background.
Solution Approach 2:
The patent replaces traditional code-based configuration (mechanical programming system) with a visual drag-and-drop flow construction system. Users interact with the system through graphical elements and visual connections rather than writing code, significantly improving ease of operation while maintaining full functionality for AI model integration and output manipulation.
2Ease of operation
If iterative evaluation of test datasets is used for output adjustment, then some functionality is provided, but intuitive visual manipulation and direct control of output results are lacking
Solution Approach 1:
The patent transitions from traditional linear code-based configuration to a two-dimensional visual flow canvas where data flows and transformations can be directly manipulated. This dimensional change enables users to see and control the entire processing pipeline, including causal relationships between inputs and outputs, in a spatially organized manner rather than through sequential code execution.
Solution Approach 2:
The system provides real-time visual feedback as users manipulate flow elements, immediately showing how changes affect output results. This continuous feedback loop replaces iterative batch evaluation of test datasets, allowing users to directly observe and adjust the causal relationships in the data processing flow without losing visibility of intermediate transformations.
3Adaptability or versatility
If fixed step structures and API specifications are imposed, then system structure is maintained, but user freedom to express intent and flexibility are hindered
Solution Approach 1:
The patent implements a dynamic flow construction system where users can freely add, remove, and reconfigure processing steps without being constrained by fixed structures. The system adapts to user-defined workflows while automatically managing the underlying complexity of API specifications and data transformations, enabling flexible expression of intent without sacrificing system integrity.
Solution Approach 2:
The patent segments the complex AI integration process into independent, manipulable flow elements that users can configure individually. Each element represents a discrete operation or transformation, allowing users to build flexible pipelines by combining these modular components while the system handles the complexity of integrating multiple APIs and data formats in the background.
4Ease of operation
If visual construction interfaces are implemented, then user operability is enhanced, but system complexity and integration requirements increase
Solution Approach 1:
The visual flow construction interface serves as an intermediary that abstracts away the complexity of system integration. Users interact with simplified visual elements while the system's integration layer automatically handles the complex coordination of multiple APIs, data transformations, and model invocations, thereby enhancing usability without exposing users to integration complexity.
Solution Approach 2:
The patent implements a universal visual interface framework that can represent and manipulate diverse AI models, APIs, and data formats through a common set of visual elements and operations. This multi-functional interface handles various integration scenarios uniformly, reducing the apparent complexity for users while supporting a wide range of system configurations and integrations in the background.
Data Source
AI summary
The present invention relates to an API utilization support system that collaborates with APIs of AI systems and supports data processing and utilization of AI models through the construction of visual data flows. The present invention relates to an application programming interface (API) utilization support system that supports data processing and utilization of artificial intelligence (AI) models in cooperation with APIs of AI systems. The system is implemented on a computer system equipped with processors and memory and includes a chest flow configuration GUI processor that enables visual construction of data flows via a graphical user interface (GUI) while supporting the use of APIs, a database that stores configuration information, and a chest flow execution controller that controls the data flows and chests.