- Full implementation of Traicie Selection Specialist - VA version

- Improvements to CrewAI specialists and Specialists in general
- Addition of reusable components to check or get answers to questions from the full Human Message - HumanAnswerServices

config/agents/globals/RAG_AGENT/1.1.0.yaml

@@ -0,0 +1,22 @@
+version: "1.0.0"
+name: "Rag Agent"
+role: >
+  {tenant_name} Spokesperson. {custom_role}
+goal: >
+  You get questions by a human correspondent, and give answers based on a given context, taking into account the history
+  of the current conversation. {custom_goal}
+backstory: >
+  You are the primary contact for {tenant_name}. You are known by {name}, and can be addressed by this name, or you. You are
+  a very good communicator, and adapt to the style used by the human asking for information (e.g. formal or informal). 
+  You always stay correct and polite, whatever happens. And you ensure no discriminating language is used.
+  You are perfectly multilingual in all known languages, and do your best to answer questions in {language}, whatever
+  language the context provided to you is in. You are participating in a conversation, not writing e.g. an email. Do not
+  include a salutation or closing greeting in your answer.
+  {custom_backstory}
+full_model_name: "mistral.mistral-small-latest"
+temperature: 0.3
+metadata:
+  author: "Josako"
+  date_added: "2025-01-08"
+  description: "An Agent that does RAG based on a user's question, RAG content & history"
+  changes: "Initial version"

config/agents/traicie/TRAICIE_RECRUITER_AGENT/1.0.1.yaml

@@ -0,0 +1,25 @@
+version: "1.0.1"
+name: "Traicie Recruiter"
+role: >
+  You are an Expert Recruiter working for {tenant_name}, known as {name}. You can be addressed as {name}
+  {custom_role}
+goal: >
+  As an expert recruiter, you identify, attract, and secure top talent by building genuine relationships, deeply 
+  understanding business needs, and ensuring optimal alignment between candidate potential and organizational goals
+  , while championing diversity, culture fit, and long-term retention.
+  {custom_goal}
+backstory: >
+  You started your career in a high-pressure agency setting, where you quickly learned the art of fast-paced hiring and 
+  relationship building. Over the years, you moved in-house, partnering closely with business leaders to shape 
+  recruitment strategies that go beyond filling roles—you focus on finding the right people to drive growth and culture.
+  With a strong grasp of both tech and non-tech profiles, you’ve adapted to changing trends, from remote work to 
+  AI-driven sourcing. You’re more than a recruiter—you’re a trusted advisor, a brand ambassador, and a connector of 
+  people and purpose.
+  {custom_backstory}
+full_model_name: "mistral.magistral-medium-latest"
+temperature: 0.3
+metadata:
+  author: "Josako"
+  date_added: "2025-07-03"
+  description: "Traicie Recruiter Agent"
+  changes: "Ensure recruiter can be addressed by a name"

config/prompts/globals/check_additional_information/1.0.0.yaml

@@ -1,9 +1,13 @@
 version: "1.0.0"
 content: >
-  Check if additional information or questions are available in the answer (answer in {language}), additional to the 
-  following question:
+  Check if additional information or questions are available in the following answer (answer in between triple 
+  backquotes):
+  
+  ```{answer}```
+  
+  in addition to answers to the following question (in between triple backquotes):
 
-  "{question}"
+  ```{question}```
   
   Answer with True or False, without additional information.
 llm_model: "mistral.mistral-medium-latest"

config/prompts/globals/check_affirmative_answer/1.0.0.yaml

@@ -1,8 +1,12 @@
 version: "1.0.0"
 content: >
-  Determine if there is an affirmative answer on the following question in the provided answer (answer in {language}):
+  Determine if there is an affirmative answer on the following question (in between triple backquotes):
 
-  {question} 
+  ```{question}``` 
+  
+  in the provided answer (in between triple backquotes): 
+  
+  ```{answer}```
   
   Answer with True or False, without additional information.
 llm_model: "mistral.mistral-medium-latest"

config/prompts/globals/get_answer_to_question/1.0.0.yaml

@@ -0,0 +1,16 @@
+version: "1.0.0"
+content: >
+  Provide us with the answer to the following question (in between triple backquotes) from the text provided to you:
+
+  ```{question}````
+
+  Reply in exact wordings and in the same language. If no answer can be found, reply with "No answer provided"
+
+  Text provided to you:
+  ```{answer}```
+llm_model: "mistral.mistral-medium-latest"
+metadata:
+  author: "Josako"
+  date_added: "2025-06-23"
+  description: "An assistant to check if the answer to a question is affirmative."
+  changes: "Initial version"

config/prompts/globals/translation_with_context/1.0.0.yaml

@@ -14,7 +14,7 @@ content: >
   
   I only want you to return the translation. No explanation, no options. I need to be able to directly use your answer
   without further interpretation. If more than one option is available, present me with the most probable one.
-llm_model: "mistral.ministral-8b-latest"
+llm_model: "mistral.mistral-medium-latest"
 metadata:
   author: "Josako"
   date_added: "2025-06-23"

config/prompts/globals/translation_without_context/1.0.0.yaml

@@ -11,7 +11,7 @@ content: >
   
   I only want you to return the translation. No explanation, no options. I need to be able to directly use your answer
   without further interpretation. If more than one option is available, present me with the most probable one.
-llm_model: "mistral.ministral-8b-latest"
+llm_model: "mistral.mistral-medium-latest"
 metadata:
   author: "Josako"
   date_added: "2025-06-23"

config/specialists/traicie/TRAICIE_SELECTION_SPECIALIST/1.4.0.yaml

@@ -45,11 +45,6 @@ configuration:
     description: "Introductory text given by the specialist - but translated according to Tone of Voice, Language Level and Starting Language"
     type: "text"
     required: false
-  closing_message:
-    name: "Closing Message"
-    description: "Closing message given by the specialist - but translated according to Tone of Voice, Language Level and Starting Language"
-    type: "text"
-    required: false
 competency_details:
   title:
     name: "Title"
@@ -98,8 +93,8 @@ arguments:
     name: "Interaction Mode"
     type: "enum"
     description: "The interaction mode the specialist will start working in."
-    allowed_values: ["Job Application", "Seduction"]
-    default: "Job Application"
+    allowed_values: ["orientation", "seduction"]
+    default: "orientation"
     required: true
 results:
   competencies:
@@ -108,17 +103,13 @@ results:
     description: "List of vacancy competencies and their descriptions"
     required: false
 agents:
-  - type: "TRAICIE_RECRUITER_AGENT"
-    version: "1.0"
   - type: "RAG_AGENT"
-    version: "1.0"
+    version: "1.1"
 tasks:
-  - type: "TRAICIE_KO_CRITERIA_INTERVIEW_DEFINITION_TASK"
-    version: "1.0"
   - type: "RAG_TASK"
-    version: "1.0"
+    version: "1.1"
 metadata:
   author: "Josako"
-  date_added: "2025-06-30"
-  changes: "Add 'RAG' to the selection specialist"
+  date_added: "2025-07-03"
+  changes: "Update for a Full Virtual Assistant Experience"
   description: "Assistant to assist in candidate selection"

config/tasks/globals/RAG_TASK/1.1.0.yaml

@@ -0,0 +1,23 @@
+version: "1.0.0"
+name: "RAG Task"
+task_description: >
+  Answer the question based on the following context, and taking into account the history of the discussion. Try not to
+  repeat answers already given in the recent history,  unless confirmation is required or repetition is essential to 
+  give a coherent answer.
+  {custom_description}
+  Use the following {language} in your communication, and cite the sources used at the end of the full conversation.
+  If the question cannot be answered using the given context, answer "I have insufficient information to answer this 
+  question."
+  Context (in between triple backquotes):
+    ```{context}```
+  History (in between triple backquotes):
+    ```{history}```
+  Question (in between triple backquotes):
+    ```{question}```
+expected_output: >
+
+metadata:
+  author: "Josako"
+  date_added: "2025-01-08"
+  description: "A Task that gives RAG-based answers"
+  changes: "Initial version"