LLM Plugin Templates for Cloud-Agnostic Deployment and Integration
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Solution Overview
Problem
Existing systems lack a robust, end-to-end development pipeline for creating, deploying, and integrating plugins with large language model applications in a cloud-agnostic and platform-agnostic manner, requiring manual coding for each platform and lacking scalability across enterprise applications and cloud computing environments.
Innovation Solution
A system and method for creating, deploying, and integrating plugins using standardized code templates, enabling developers to customize and package plugins as containerized APIs, register them in a registry, and connect them to applications through a plugin registry API, allowing for cloud-agnostic and scalable deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual coding is used for each platform, then platform-specific customization is achieved, but development time and complexity increase significantly
Solution Approach 1:
The patent uses code templates as reusable copies that can be instantiated across multiple platforms. Developers retrieve standardized code templates from an online repository and customize them for specific platforms, avoiding the need to manually code from scratch for each platform while maintaining platform-specific adaptability
Solution Approach 2:
The patent creates a universal code template system that serves multiple platforms simultaneously. The templates are designed to be platform-agnostic and can be deployed across different cloud environments and applications, reducing development time while maintaining versatility through customization
2Productivity
If standardized code templates are used, then development efficiency and scalability improve, but flexibility for platform-specific customization decreases
Solution Approach 1:
The patent segments the plugin development into modular components within the code templates, including context templates, native function templates, semantic prompt templates, and customizable sections. This segmentation allows developers to efficiently reuse standardized portions while customizing specific segments for platform requirements
Solution Approach 2:
The patent makes the code templates dynamic by allowing developers to retrieve them from an online repository, modify them locally, and deploy them to different platforms. The templates are not static but can be adapted and updated, balancing standardization with flexibility
3Ease of manufacture
If plugins are created without a standardized deployment pipeline, then custom deployment processes can be used, but consistency and scalability across enterprise applications are compromised
Solution Approach 1:
The patent implements preliminary actions by providing pre-configured code templates that include all necessary deployment configurations, context settings, and function definitions before the actual plugin deployment. This ensures consistency is built-in from the start rather than requiring complex deployment pipelines
Data Source
AI summary
A method for creating and deploying plugins for use with one or more web-hosted large language model applications includes: displaying a user interface comprising a code template for creation of a plugin, wherein the code template comprises a context template, a native function template, and a semantic prompt template; receiving modifications to the code template via the user interface to form a modified code template, the modified code template comprising: custom context based on the context template; custom native code comprising one or more computer executable functions based on the native function template; and a custom prompt configured to prompt a large language model based on the semantic prompt template; generating a plugin based on the modified code template; and storing the plugin within a database of a plugin registry.