Network Device LLM Integration via API Interface
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Solution Overview
Problem
Current techniques for managing, configuring, monitoring, and integrating network devices with large language models are hindered by the lack of a natural language interface, resulting in inefficient use of computing and networking resources.
Innovation Solution
A network device is equipped with an interface, such as an application programming interface (API), that allows it to communicate with a large language model. The device receives code to generate this interface and uses it to provide questions or requests to the large language model, receiving answers or analyses in return.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network devices use traditional management and configuration methods, then computing and networking resources are consumed inefficiently, but implementing a natural language interface requires additional integration complexity
Solution Approach 1:
The patent introduces a natural language interface as an intermediary layer between the user and the network device's processing systems. This interface translates natural language queries into structured requests that the device can process, enabling efficient resource utilization while maintaining ease of interaction. The interface acts as a mediator that resolves the contradiction by providing intelligent translation without requiring complex direct integration.
2Loss of energy
If network devices integrate with large language models for tasks like translation and analysis, then resource consumption is reduced, but the device requires additional interface infrastructure
Solution Approach 1:
The network device is configured with self-service capabilities through the integrated natural language interface, allowing it to autonomously process translation, configuration, and analysis tasks. The interface enables the device to serve its own management and monitoring needs without requiring external intervention, thereby reducing overall computing resource consumption while the interface infrastructure becomes a standardized self-contained component.
3Ease of operation
If a natural language interface is implemented to communicate with large language models, then ease of operation improves, but the device requires code generation and interface creation capabilities
Solution Approach 1:
The system performs preliminary actions by pre-configuring the natural language interface and establishing the code generation capabilities before actual operation begins. The interface structure, processing logic, and integration protocols are prepared in advance, allowing users to immediately benefit from simplified interaction without needing to understand or configure the underlying complex code generation mechanisms during normal operation.
Data Source
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AI summary
A network device may receive code for generating an interface for communicating with a large language model, and may generate the interface based on the code. The network device may provide, to the large language model and via the interface, a question associated with the network device, and may receive, from the large language model, an answer to the question associated with the network device.