Capability Proxy for Semantic Function Discovery
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Solution Overview
Problem
Developers face significant time-consuming challenges in identifying and integrating function capabilities for applications due to the vast number of Software as a Service (SaaS) options, requiring manual searches through various registries for specific functions to perform desired tasks.
Innovation Solution
A capability proxy system that uses AI to receive semantic descriptions of desired function capabilities, query function registries, and execute suitable functions based on specified constraints, automating the discovery and execution process without requiring explicit API calls or developer-configured runtime environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If developers manually search through function registries to identify suitable functions, then they can find specific functions with desired capabilities, but the development time and effort increase significantly
Solution Approach 1:
The patent introduces a capability proxy as an intermediary component between the application and the function registry. The capability proxy receives semantic capability requests from applications, automatically queries the function registry to identify suitable functions, and returns the selected function information to the application. This intermediary automation eliminates the need for developers to manually search through function registries, thereby resolving the contradiction between finding accurate function matches and reducing development time
Solution Approach 2:
The capability proxy enables self-service by automatically performing the function discovery and selection process without requiring developer intervention. The system autonomously interprets semantic capability descriptions, queries the registry, evaluates available functions, and selects the most appropriate match based on the provided constraints, thereby eliminating manual searching while maintaining high matching accuracy
2Reliability
If developers manually integrate function capabilities into applications, then they can ensure proper configuration and execution, but the complexity and time required for integration increase
Solution Approach 1:
The patent extracts the complex function integration process from the developer's workflow and delegates it to the capability proxy. The proxy handles querying the function registry, selecting appropriate functions, and providing integration guidance, thereby removing the complex integration tasks from developer responsibilities while maintaining reliable function integration through automated selection and configuration assistance
Solution Approach 2:
The capability proxy serves as an intermediary that manages the complex integration process between applications and the function registry. It automatically handles function selection, constraint evaluation, and integration configuration, thereby reducing integration complexity for developers while ensuring reliable function incorporation through systematic automated selection
3Reliability
If developers configure runtime environments for each function, then they can ensure optimal execution conditions, but the configuration effort and system complexity increase
Solution Approach 1:
The capability proxy enables self-service by automatically determining and applying execution constraints without requiring manual developer configuration. The system autonomously queries the function registry for execution requirements, interprets capability descriptions to identify appropriate constraints, and configures the runtime environment automatically, thereby maintaining execution reliability while dramatically improving configuration ease
Solution Approach 2:
The capability proxy acts as an intermediary that automatically manages runtime environment configuration between the application and the function execution infrastructure. It retrieves execution constraints from the function registry, interprets them, and configures the appropriate runtime conditions without developer intervention, thereby ensuring reliable execution while eliminating manual configuration efforts
Data Source
AI summary
A computing system includes a capability proxy that receives a semantic description of a requested function capability; determines an execution constraint associated with the requested function capability; queries a function registry based at least in part on the requested function capability; and identifies, based on information returned from the function registry, a select function that provides the requested function capability and that has an execution characteristic satisfying the execution constrain. The capability proxy executes the select function and returns an output of the select function.