default risk threshold; scores lower down in JSON serialization

src/text_generation/domain/guardrails_result.py

@@ -11,7 +11,7 @@ class GuardrailsResult:
         completion_text: str,
         full_prompt: dict[str, Any],
         llm_config: dict,
-        cosine_similarity_risk_threshold: float = 0.0
+        cosine_similarity_risk_threshold: float = 0.8
     ):
         self.user_prompt = user_prompt
         self.guardrails_completion_text = completion_text

src/text_generation/domain/guidelines_result.py

@@ -11,7 +11,7 @@ class GuidelinesResult(AbstractGuidelinesProcessedCompletion):
         completion_text: str,
         full_prompt: dict[str, Any],
         llm_config: dict,
-        cosine_similarity_risk_threshold: float = 0.0
+        cosine_similarity_risk_threshold: float = 0.8
     ):
         self.user_prompt = user_prompt
         self.guidelines_completion_text = completion_text

src/text_generation/domain/original_completion_result.py

@@ -19,7 +19,7 @@ class OriginalCompletionResult(AbstractTextGenerationCompletionResult):
         self.completion_text = completion_text
         self.full_prompt = full_prompt
         self.llm_config = llm_config
-        self.cosine_similarity_risk_threshold: float = 0.0
+        self.cosine_similarity_risk_threshold: float = 0.8
 
     def append_semantic_similarity_result(self, semantic_similarity_result: SemanticSimilarityResult):
         self.semantic_similarity_result = semantic_similarity_result

src/text_generation/domain/semantic_similarity_result.py

@@ -8,6 +8,6 @@ from src.text_generation.domain.abstract_semantic_similarity_result import Abstr
 class SemanticSimilarityResult(AbstractSemanticSimilarityResult):
     def __init__(self, scores: ndarray):
         super().__init__()
-        self.scores: List[float] = scores.tolist()
+        self.max: float = float(scores.max()) 
         self.mean: float = float(scores.mean())
-        self.max: float = float(scores.max()) 
+        self.scores: List[float] = scores.tolist()