- New version of RAG_SPECIALIST and RAG_AGENT, including definition of conversation_purpose and response_depth.

config/agents/globals/RAG_AGENT/1.1.0.yaml

@@ -1,4 +1,4 @@
-version: "1.0.0"
+version: "1.1.0"
 name: "Rag Agent"
 role: >
   {tenant_name} Spokesperson. {custom_role}
@@ -7,7 +7,7 @@ goal: >
   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
+  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

config/agents/globals/RAG_AGENT/1.2.0.yaml

@@ -0,0 +1,28 @@
+version: "1.1.0"
+name: "Rag Agent"
+role: >
+  {tenant_name}'s 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. 
+  We want you to answer using the following Tone of Voice: {tone_of_voice} - {tone_of_voice_context}.
+  And we want you to answer using the following Language Level: {language_level} - {language_level_context}.
+  We want your answers to be {response_depth} - {response_depth_context}.
+  We want your answers to be {conversation_purpose} - {conversation_purpose_context}.
+  You can change Tone of Voice and Language level if required by the person you are talking to..
+  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-medium-latest"
+temperature: 0.4
+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/specialists/globals/RAG_SPECIALIST/1.2.0.yaml

@@ -0,0 +1,77 @@
+version: "1.2.0"
+name: "RAG Specialist"
+framework: "crewai"
+chat: true
+configuration:
+  name:
+    name: "name"
+    type: "str"
+    description: "The name the specialist is called upon."
+    required: true
+  tone_of_voice:
+    name: "Tone of Voice"
+    description: "The tone of voice the specialist uses to communicate"
+    type: "enum"
+    allowed_values: [ "Professional & Neutral", "Warm & Empathetic", "Energetic & Enthusiastic", "Accessible & Informal", "Expert & Trustworthy", "No-nonsense & Goal-driven" ]
+    default: "Professional & Neutral"
+    required: true
+  language_level:
+    name: "Language Level"
+    description: "Language level to be used when communicating, relating to CEFR levels"
+    type: "enum"
+    allowed_values: [ "Basic", "Standard", "Professional" ]
+    default: "Standard"
+    required: true
+  response_depth:
+    name: "Response Depth"
+    description: "Response depth to be used when communicating"
+    type: "enum"
+    allowed_values: [ "Concise", "Balanced", "Detailed",]
+    default: "Balanced"
+    required: true
+  conversation_purpose:
+    name: "Conversation Purpose"
+    description: "Purpose of the conversation, resulting in communication style"
+    type: "enum"
+    allowed_values: [ "Informative", "Persuasive", "Supportive", "Collaborative" ]
+    default: "Informative"
+    required: true
+  welcome_message:
+    name: "Welcome Message"
+    type: "string"
+    description: "Welcome Message to be given to the end user"
+    required: false
+arguments:
+  language:
+    name: "Language"
+    type: "str"
+    description: "Language code to be used for receiving questions and giving answers"
+    required: true
+results:
+  rag_output:
+    answer:
+      name: "answer"
+      type: "str"
+      description: "Answer to the query"
+      required: true
+    citations:
+      name: "citations"
+      type: "List[str]"
+      description: "List of citations"
+      required: false
+    insufficient_info:
+      name: "insufficient_info"
+      type: "bool"
+      description: "Whether or not the query is insufficient info"
+      required: true
+agents:
+  - type: "RAG_AGENT"
+    version: "1.2"
+tasks:
+  - type: "RAG_TASK"
+    version: "1.1"
+metadata:
+  author: "Josako"
+  date_added: "2025-01-08"
+  changes: "Initial version"
+  description: "A Specialist that performs Q&A activities"

config/tasks/globals/RAG_TASK/1.1.0.yaml

@@ -3,24 +3,29 @@ name: "RAG Task"
 task_description: >
   Answer the following question (in between triple £):
   
-  £££{question}£££
+  £££
+  {question}
+  £££
   
   Base your answer on the following context (in between triple $): 
   
-  $$${context}$$$
+  $$$
+  {context}
+  $$$
   
   Take into account the following history of the conversation (in between triple €):
   
-  €€€{history}€€€
+  €€€
+  {history}
+  €€€
   
   The HUMAN parts indicate the interactions by the end user, the AI parts are your interactions.
   
   Best Practices are:
   
-  - Answer the provided question as precisely and directly as you can, combining elements of the provided context.
-  - Always focus your answer on the actual HUMAN question.
-  - Try not to repeat your answers (preceded by AI), unless absolutely necessary. 
-  - Focus your answer on the question at hand.
+  - Answer the provided question, combining elements of the provided context.
+  - Always focus your answer on the actual question.
+  - Try not to repeat your historic answers, unless absolutely necessary.
   - Always be friendly and helpful for the end user.
 
   {custom_description}