- 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

config/tasks/traicie/TRAICIE_AFFIRMATIVE_ANSWER_CHECK_TASK/1.0.0.yaml

@@ -0,0 +1,29 @@
+version: "1.0.0"
+name: "Traicie Affirmative Answer Check"
+task_description: >
+  You are provided with the following end user answer (in between triple £):
+  
+  £££{question}£££
+  
+  This is the history of the conversation (in between triple €):
+
+  €€€{history}€€€
+  
+  (In this history, user interactions are preceded by 'HUMAN', and your interactions with 'AI'.)
+  
+  Check if the user has given an affirmative answer or not.
+  Please note that this answer can be very short:
+  - Affirmative answers: e.g. Yes, OK, Sure, Of Course
+  - Negative answers: e.g. No, not really, No, I'd rather not.
+  
+  Please consider that the answer will be given in {language}!
+  
+  {custom_description}
+
+expected_output: >
+  Your determination if the answer was affirmative (true) or negative (false)
+metadata:
+  author: "Josako"
+  date_added: "2025-07-30"
+  description: "A Task to check if the answer to a question is affirmative"
+  changes: "Initial version"

config/tasks/traicie/TRAICIE_COMPETENCIES_INTERVIEW_DEFINITION/1.0.0.yaml

@@ -1,30 +0,0 @@
-version: "1.0.0"
-name: "KO Criteria Interview Definition"
-task_description: >
-  In context of a vacancy in your company {tenant_name}, you are provided with a set of competencies. (both description 
-  and title). The competencies are in between triple backquotes. You need to prepare for the interviews, 
-  and are to provide for each of these ko criteria:
-  
-  - A question to ask the recruitment candidate describing the context of the competency. Use your experience to not 
-  just ask a closed question, but a question from which you can indirectly derive a positive or negative qualification of
-  the competency based on the answer of the candidate.
-  
-  Apply the following tone of voice in both questions and answers: {tone_of_voice}
-  Apply the following language level in both questions and answers: {language_level}
-  Respect the language of the competencies, and return all output in the same language.
-  
-  ```{competencies}```
-  
-  {custom_description}
-
-expected_output: >
-  For each of the ko criteria, you provide:
-  - the exact title in the original language
-  - the question
-  - a set of answers, with for each answer an indication if it is the correct answer, or a false response.
-  {custom_expected_output}
-metadata:
-  author: "Josako"
-  date_added: "2025-06-15"
-  description: "A Task to define interview Q&A from given KO Criteria"
-  changes: "Initial Version"

config/tasks/traicie/TRAICIE_DETERMINE_INTERVIEW_MODE_TASK/1.0.0.yaml

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+version: "1.0.0"
+name: "Traicie Determine Interview Mode"
+task_description: >
+  you are provided with the following user input (in between triple backquotes):
+  
+  ```{question}```
+
+  If this user input contains one or more questions, your answer is simply 'RAG'. In all other cases, your answer is
+  'CHECK'. 
+  
+  Best practices to be applied:
+  - A question doesn't always have an ending question mark. It can be a query for more information, such as 'I'd like 
+  to understand ...', 'I'd like to know more about...'. Or it is possible the user didn't enter a question mark. Take 
+  into account the user might be working on a mobile device like a phone, making typing not as obvious.
+  - If there is a question mark, then normally you are provided with a question of course.
+
+expected_output: >
+  Your Answer.
+metadata:
+  author: "Josako"
+  date_added: "2025-07-30"
+  description: "A Task to determine the interview mode based on the last user input"
+  changes: "Initial version"