# Semantic Validation with Generative AI

The user can also use **Generative AI** to validate the **semantics of Property Submodel Elements**. This feature checks whether the units used for `Property` elements are semantically appropriate. If not, the AI suggests alternative units.

To enable this feature, the user must provide the following three pieces of information:

- **Model Name**: The name of the LLM model to use  
- **API Key**: The key used to authenticate requests to the LLM  
- **API Endpoint**: The URL endpoint to send semantic validation queries

All of this information must be saved in a file named `llm_config.txt` located in the `config` directory.

```{figure} ./images/llm_config.PNG
---
width: 100%
alt: LLM Config File Example
name: llm_config
---
```

This feature was tested for a submodel with 7 Property Submodel Elements which have units. The model 'openai/gpt-oss-20b' was used and the results were following:

| Property name              | Given Unit | Correct? | AI Response              | Evaluation |
|----------------------------|------------|----------|--------------------------|------------|
| Min. Temperature           | °C         | Yes      | Yes                      | Correct    |
| Weight per unit of measure | kg         | Yes      | Yes                      | Correct    |
| Output Voltage             | kW         | No       | No, Suggested: [V]       | Correct    |
| Max. External Capacitance  | µF         | Yes      | Yes                      | Correct    |
| Max. Temperature           | g          | No       | No, Suggested: [°C, K]   | Correct    |
| Power Consumption          | F          | No       | No, Suggested: [W, kW]   | Correct    |
| Rated Operating Current    | A          | Yes      | Yes                      | Correct    |
| Internal Inductance        | H          | Yes      | Yes                      | Correct    |

For incorrect units, it is shown in `Info` and hovering over that provides suggestion for the correct units.

```{figure} ./images/UnitSuggestion.jpeg
---
width: 100%
alt: UnitSuggestion
name: UnitSuggestion
---
```
> **Note:** This is an optional feature, and not having an API key, model name, and endpoint does not impact the normal validation process of the submodels.  
>  
> However, this feature additionally enables semantic validation of Submodel Elements. In some cases, the program might fail to extract Concept Descriptions for certain Submodel Elements due to delays in their registration.  
>  
> If this occurs, delete and re-upload the submodel. Ongoing research is being conducted to improve and resolve this issue in future versions.