Integration Flow Script Optimization Using Generative Models

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Solution Overview

Problem

Integration flow scripts in modern organizations often exhibit sub-optimal characteristics such as high resource consumption, poor performance, brittleness, and scalability issues, leading to potential failures and downtimes in message processing.

Innovation Solution

A system utilizing a Large Language Model (LLM) to generate recommendations for optimizing integration flow scripts based on runtime characteristics, including resource consumption data and code review resources, to improve script efficiency and performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If customer-developed scripts are used in integration flows, then customization and flexibility are improved, but resource consumption and performance deteriorate

Engineering Contradiction:

ImprovecustomizationVSAvoidresource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system continuously monitors runtime characteristics of integration flow scripts and uses this feedback to generate optimized versions of the scripts. The LLM analyzes performance data, resource consumption patterns, and execution characteristics to produce refined script code that maintains customization while improving resource efficiency.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes parameters of the script execution environment and generates optimized script code with improved parameters. This includes modifying execution contexts, adjusting runtime parameters, and transforming the script code itself to use more efficient operations that consume fewer resources while maintaining functional equivalence.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If customer-developed scripts are used in integration flows, then customization and flexibility are improved, but performance and reliability deteriorate

Engineering Contradiction:

ImprovecustomizationVSAvoidperformance

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system collects runtime execution data, error rates, and performance metrics as feedback to the LLM. This feedback loop enables the system to identify performance bottlenecks, error patterns, and reliability issues in customer scripts, then generate optimized versions that maintain customization while improving reliability and performance characteristics.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of script code and execution patterns before actual message processing occurs. By proactively identifying potential performance issues, edge cases, and optimization opportunities in advance, the system can generate pre-optimized scripts that improve reliability and performance before failures occur.

Inventive Principle:

Principle #10Preliminary action

3Use of energy by moving object

If scripts are manually optimized, then resource consumption improves, but complexity of optimization process increases

Engineering Contradiction:

Improveresource consumptionVSAvoidoptimization process complexity

Core Design Contradiction:

Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The system enables self-service optimization where the LLM automatically analyzes script performance, identifies optimization opportunities, and generates improved code without requiring manual intervention from developers. The system monitors its own execution data, generates optimization recommendations, and applies transformations automatically, eliminating the complexity of manual optimization processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces manual mechanical optimization processes with an automated LLM-based system. Instead of requiring developers to manually review and rewrite code, the system uses artificial intelligence to automatically analyze performance data, generate optimization recommendations, and produce refined script code, thereby eliminating the complexity of manual optimization.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentEP4625164A1Integration flow script optimization using generative model

Publication Date: 2025.10.01 SAP SE

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AI summary

Systems and methods include execution of a script in an execution environment, the script implementing a portion of a flow to receive a message from a sender and transmit the message to a receiver, determination of resource consumption data indicating resource consumption in the execution environment during execution of the script in the execution environment, transmission of a prompt to a text generation model, the prompt including the resource consumption data and the script, receive, from the text generation model and in response to the prompt, a response indicating one or more modifications to the script, and present the one or more modifications.