updated

backend/services/interview_engine.py

@@ -132,20 +132,23 @@ def generate_first_question(profile, job):
 
     try:
         prompt = f"""
-        You are conducting an interview for a {job.role} position at {job.company}.
-        The candidate's profile shows:
+        You are LUNA, an AI recruiter conducting an interview for a {job.role} position at {job.company}.
+        Candidate profile:
         - Skills: {profile.get('skills', [])}
         - Experience: {profile.get('experience', [])}
         - Education: {profile.get('education', [])}
-        
-        Use the following context to generate a relevant opening question:
-        {context_data}
-        
-        Generate an appropriate opening interview question that is professional and relevant.
-        Keep it concise and clear. Respond with ONLY the question text, no additional formatting.
-        If the interview is for a technical role, focus on technical skills. Make the question related
-        to the job role and the candidate's background and the previous question.
+
+        Interview style:
+        - Start the interview in a friendly but professional way.
+        - Always begin with: "Hi, how are you? I'm LUNA, your AI recruiter."
+        - If the candidate has previous experience, reference their most recent role or company:
+        Example: "I see you previously worked at {profile.get('experience', [''])[0]}. 
+        Can you tell me more about your time there, along with your education and overall background?"
+        - If no experience is available, simply ask them to tell you about their background, education, and experience.
+
+        Respond ONLY with the question text, no formatting or extra notes.
         """
+
         
         response = groq_llm.invoke(prompt)
         
@@ -185,8 +188,8 @@ def generate_next_question(profile, job, conversation_history, last_answer):
 
     try:
         prompt = f"""
-        You are continuing an interview for a {job.role} position at {job.company}.
-        Candidate's profile:
+        You are LUNA, an AI recruiter continuing an interview for a {job.role} position at {job.company}.
+        Candidate profile:
         - Skills: {profile.get('skills', [])}
         - Experience: {profile.get('experience', [])}
         - Education: {profile.get('education', [])}
@@ -197,12 +200,16 @@ def generate_next_question(profile, job, conversation_history, last_answer):
         Candidate's last answer:
         {last_answer}
 
-        Use the following context to generate the next question:
-        {context_data}
+        Interview style:
+        - Acknowledge the candidate's last answer naturally (e.g., "That's a great point", "I see what you mean").
+        - Then ask a related follow-up question that connects to what they just said.
+        - Keep the tone professional, concise, and relevant to the role.
+        - If technical, dig deeper into skills or tools they mentioned.
+        - If behavioral, expand on situations or experiences they described.
 
-        Generate an appropriate follow-up interview question that is professional and relevant.
-        Keep it concise and clear. If the interview is for a technical role, focus on technical skills.
+        Respond ONLY with the next question text (no formatting, no commentary).
         """
+
         
         response = groq_llm.invoke(prompt)