- Refinement of the chat client to have better visible clues for user vs chatbot messages

- Introduction of interview_phase and normal phase in TRAICIE_SELECTION_SPECIALIST to make interaction with bot more human.
- More and random humanised messages to TRAICIE_SELECTION_SPECIALIST

eveai_chat_workers/outputs/traicie/advanced_rag/advanced_rag_v1_0.py

@@ -0,0 +1,12 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class TraicieAdvancedRAGOutput(BaseModel):
+    mode: str = Field(..., description="The mode of execution (RAG or CHECK).")
+    answer: str = Field(None, description="Answer to the questions asked, when in RAG")
+    insufficient_info: bool = Field(None, description="An indication if there's insufficient information to answer, when in RAG")
+    affirmative_answer: bool = Field(None, description="An indication if the answer is affirmative (true) or negative (false), when in CHECK")
+
+

eveai_chat_workers/outputs/traicie/affirmative_answer/affirmative_answer_v1_0.py

@@ -0,0 +1,10 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class TraicieAffirmativeAnswerOutput(BaseModel):
+    affirmative: bool = Field(..., description="Is the provided answer affirmative (true) or negative (false).")
+
+
+

eveai_chat_workers/outputs/traicie/interview_mode/interview_mode_v1_0.py

@@ -0,0 +1,10 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class TraicieInterviewModeOutput(BaseModel):
+    mode: str = Field(..., description="Your answer: RAG or CHECK.")
+
+
+