- Aanpassingen aan opbouw specialist historiek

- Nieuwe versie van de selectie specialist "Fake it till you Make it" ;-)

config/specialist_forms/globals/PERSONAL_CONTACT_FORM/1.0.0.yaml

@@ -17,6 +17,7 @@ fields:
     name: "Phone Number"
     type: "str"
     description: "Your Phone Number"
+    context: "Een kleine test om te zien of we context kunnen doorgeven en tonen"
     required: true
   address:
     name: "Address"

config/tasks/traicie/TRAICIE_COMPETENCIES_INTERVIEW_DEFINITION/1.0.0.yaml

@@ -0,0 +1,30 @@
+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}
+  Use {language} as language for both questions and answers.
+  
+  ```{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_KO_CRITERIA_INTERVIEW_DEFINITION/1.0.0.yaml

@@ -0,0 +1,34 @@
+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 knock-out criteria 
+  (both description and title). The criteria 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 ko criterium. 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 criterium based on the answer of the candidate.
+  - A set of max 5 answers on that question, from the candidates perspective. One of the answers will result in a 
+  positive evaluation of the criterium, the other ones in a negative evaluation. Mark each of the answers as positive
+  or negative. 
+  Describe the answers from the perspective of the candidate. Be sure to include all necessary aspects in you answers. 
+  
+  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}
+  Use {language} as language for both questions and answers.
+  
+  ```{ko_criteria}```
+  
+  {custom_description}
+
+expected_output: >
+  For each of the ko criteria, you provide:
+  - the exact title as specified in the original language
+  - the question in {language}
+  - a set of answers, with for each answer an indication if it is the correct answer, or a false response. In {language}.
+  {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"

eveai_chat_workers/specialists/crewai_base_specialist.py

@@ -64,22 +64,29 @@ class CrewAIBaseSpecialistExecutor(BaseSpecialistExecutor):
         # Retrieve history
         self._cached_session = cache_manager.chat_session_cache.get_cached_session(self.session_id)
         # Format history for the prompt
-        self._formatted_history = "\n\n".join([
+        self._formatted_history = self._generate_formatted_history()
-            f"HUMAN:\n{interaction.specialist_results.get('detailed_query')}\n\n"
-            f"AI:\n{interaction.specialist_results.get('rag_output').get('answer')}"
-            for interaction in self._cached_session.interactions
-        ])
 
     @property
     def formatted_history(self) -> str:
         if not self._formatted_history:
-            self._formatted_history = "\n\n".join([
+            self._formatted_history = self._generate_formatted_history()
-                f"HUMAN:\n{interaction.specialist_results.get('detailed_query')}\n\n"
-                f"AI:\n{interaction.specialist_results.get('rag_output').get('answer', '')}"
-                for interaction in self._cached_session.interactions
-            ])
         return self._formatted_history
 
+    def _generate_formatted_history(self) -> str:
+        """Generate the formatted history string from cached session interactions."""
+        return "\n\n".join([
+            "\n\n".join([
+                f"HUMAN:\n"
+                f"{interaction.specialist_results['detailed_query']}"
+                if interaction.specialist_results.get('detailed_query') else "",
+                f"{interaction.specialist_arguments.get('form_values')}"
+                if interaction.specialist_arguments.get('form_values') else "",
+                f"AI:\n{interaction.specialist_results['answer']}"
+                if interaction.specialist_results.get('answer') else ""
+            ]).strip()
+            for interaction in self._cached_session.interactions
+        ])
+
     def _add_task_agent(self, task_name: str, agent_name: str):
         self._task_agents[task_name.lower()] = agent_name
 

eveai_chat_workers/specialists/specialist_typing.py

@@ -106,6 +106,10 @@ class SpecialistResult(BaseModel):
         None,
         description="Optional textual answer from the specialist"
     )
+    detailed_query: Optional[str] = Field(
+        None,
+        description="Optional detailed query for the specialist"
+    )
     form_request: Optional[Dict[str, Any]] = Field(
         None,
         description="Optional form definition to request user input"

eveai_chat_workers/specialists/traicie/TRAICIE_SELECTION_SPECIALIST/1_2.py

@@ -71,6 +71,11 @@ class SpecialistExecutor(CrewAIBaseSpecialistExecutor):
     def execute(self, arguments: SpecialistArguments, formatted_context, citations) -> SpecialistResult:
         self.log_tuning("Traicie Selection Specialist execution started", {})
 
+        current_app.logger.debug(f"Arguments: {arguments.model_dump()}")
+        current_app.logger.debug(f"Formatted Context: {formatted_context}")
+        current_app.logger.debug(f"Formatted History: {self._formatted_history}")
+        current_app.logger.debug(f"Cached Chat Session: {self._cached_session}")
+
         # flow_inputs = {
         #     "vacancy_text": arguments.vacancy_text,
         #     "role_name": arguments.role_name,