fix: synthetic conversation messages types

Author: neagualexa

src/agents/llm_factory.py

@@ -7,6 +7,8 @@
 from langchain_openai import ChatOpenAI
 from langchain_openai import OpenAIEmbeddings
 from langchain_google_genai import ChatGoogleGenerativeAI
+from dotenv import load_dotenv
+load_dotenv()
 
 class AzureLLMs:
     def __init__(self, temperature: int = 0):

src/agents/utils/synthetic_conversation_generation.py

@@ -79,11 +79,11 @@ def generate_synthetic_conversations(raw_text: str, num_turns: int, student_agen
       # Student starts
       student_response = invoke_student_agent(message, conversation_history[:-1], summary, student_agent_type, question_response_details_prompt, conversation_id)
       conversation_history.append({
-        "role": "assistant",
+        "role": "user",
         "content": student_response["output"]
       })
     else:
-      tutor_response = invoke_tutor_agent(message, conversation_history[:-1], summary, conversational_style, question_response_details_prompt, conversation_id)
+      tutor_response = invoke_tutor_agent(message, conversation_history, summary, conversational_style, question_response_details_prompt, conversation_id)
       conversation_history.append({
         "role": "assistant",
         "content": tutor_response["output"]