Implement Fact Sheet Fix

Signed-off-by: David Weik <geekupyourlife@gmail.com>

Author: Criptic

CHANGELOG.md

@@ -2,6 +2,22 @@
 
 This changelog documents all the different updates that occur for this framework.
 
+## [0.1.34] - 2025-12-18
+
+No changes are required at this time.
+
+### Added
+
+- None
+
+### Changed
+
+- None
+
+### Fixed
+
+- 
+
 ## [0.1.33] - 2025-12-16
 
 In order for these changes to take effect you need to update the source code of the [SAS Portalframework for SAS Viya](https://github.com/sassoftware/sas-portal-framework-for-sas-viya). If you have deployed the LLM containers in kubernetes no additional changes are required, if you have deployed them as an Azure Container App or Azure Container Instance please utilize the [prompt-builder-json.py](./utility/prompt-builder-json.py) utility script with the additional option -dt aca in order to enable the prompt builder for this as well.

LLM-Definitions/register-LLMs.py

@@ -95,6 +95,8 @@ def register_model(base_path):
     if model_data.empty:
         print(f"WARNING: The selected LLM: {base_path} is not vailable in the llm_fact_sheet.csv.")
         print('WARNING: This entry is required for the Logging/Monitoring to work properly!')
+        # create new model_data DataFrame, setting only the model column value since no other data are available in llm_fact_sheet.csv
+        model_data = pd.DataFrame([{'model': base_path}], columns = ['model'])
     # Add additional model metadata from the llm_fact_sheet.csv
     model_attributes['llmModelType'] = model_attributes.get('llmModelType', 'GPT')
     model_data_dict = model_data.to_dict('records')[0]