add promtps to docker path

Dockerfile

@@ -12,6 +12,7 @@ RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy application code
 COPY --chown=user app/ app/
+COPY --chown=user prompts/ prompts/
 COPY --chown=user start.sh .
 
 # Make start script executable

app/config.py

@@ -7,151 +7,13 @@ import logging
 logger = logging.getLogger(__name__)
 
 def load_prompt_template(filename: str) -> str:
-    """Load prompt template from txt file. Return fallback if file not found."""
+    """Load prompt template from txt file."""
     prompt_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "prompts", filename)
-    try:
-        with open(prompt_path, "r", encoding="utf-8") as f:
-            content = f.read().strip()
-            logger.info(f"✅ Loaded prompt template from file: {filename}")
-            return content
-    except FileNotFoundError:
-        logger.warning(f"⚠️  Prompt file not found: {filename}, using fallback template")
-        # Fallback prompts for production
-        fallback_prompts = {
-            "awesome-chatgpt-prompts.txt": """Given the following context where each document represents a prompt for a specific role,
-please answer the question while considering both the role and the prompt content.
-
-Available Contexts:
-{% for document in documents %}
-    {% if document.meta.role %}Role: {{ document.meta.role }}{% endif %}
-    Content: {{ document.content }}
-    ---
-{% endfor %}
-
-Question: {{question}}
-Answer:""",
-            "settings-dataset.txt": """Given the following context about software settings and configurations,
-please answer the question accurately based on the provided information.
-
-For each setting, provide a clear, step-by-step navigation path and include:
-1. The exact location (Origin Type > Tab > Section > Setting name)
-2. What the setting does
-3. Available options/values
-4. How to access and modify the setting
-5. Reference screenshots (if available)
-
-Format your answer as:
-"To [accomplish task], follow these steps:
-
-Location: [Origin Type] > [Tab] > [Section] > [Setting name]
-Purpose: [describe what the setting does]
-Options: [list available values/options]
-How to set: [describe interaction method: toggle/select/input]
-
-Visual Guide:
-[Include reference image links if available]
-
-For more details, you can refer to the screenshots above showing the exact location and interface."
-
-Available Contexts:
-{% for document in documents %}
-    Setting Info: {{ document.content }}
-    Reference Answer: {{ document.meta.answer }}
-    ---
-{% endfor %}
-
-Question: {{question}}
-Answer:""",
-            "seven-wonders.txt": """Given the following information about the Seven Wonders, please answer the question.
-
-Context:
-{% for document in documents %}
-    {{ document.content }}
-{% endfor %}
-
-Question: {{question}}
-Answer:""",
-            "psychology-dataset.txt": """Given the following context where each document represents a psychological inquiry,
-please answer the question based on the provided responses.
-
-Available Contexts:
-{% for document in documents %}
-    Question: {{ document.content }}
-    Response J: {{ document.meta.response_j }}
-    Response K: {{ document.meta.response_k }}
-    ---
-{% endfor %}
-
-Question: {{question}}
-Answer:""",
-            "developer-portfolio.txt": """You are a helpful assistant that provides direct answers based on the provided context. Format your answers using markdown, especially for lists.
-
----
-Example 1:
-
-Question: What is your current role?
-
-Answer:
-I am a Tech Lead at FleetEnable, where I lead the UI development for a logistics SaaS product focused on drayage and freight management.
-
----
-Example 2:
-
-Question: What are your primary responsibilities as a Tech Lead?
-
-Answer:
-My primary responsibilities include:
-- Leading UI development.
-- Collaborating with product and backend teams.
-- Helping define technical strategies.
-- Ensuring the delivery of high-quality features.
-
----
-
-Context:
-{% for document in documents %}
-    Question: {{ document.meta.question }}
-    Answer: {{ document.content }}
-{% endfor %}
-
-Question: {{question}}
-
-Answer:""",
-            "system-instruction.txt": """You are an AI assistant for Rohit's developer portfolio. You have access to a RAG (Retrieval-Augmented Generation) pipeline containing information about Rohit's professional background, skills, and experience.
-
-CRITICAL: The portfolio information is about ROHIT, not you. Always refer to Rohit in the third person ("he", "his", "Rohit") rather than first person ("I", "my", "me").
-
-When you use rag_qa tool, you MUST use retrieved information to answer about Rohit's background.
-
-Guidelines:
-- Use rag_qa tool for questions about Rohit's: work experience, skills, projects, achievements, contact info
-- For general greetings, introduce yourself as Rohit's AI assistant
-- Always refer to Rohit in third person (he/his/Rohit)
-- Synthesize RAG results into natural responses about Rohit
-- Format responses with markdown for readability
-
-Examples:
-❌ Wrong: "I am a Tech Lead at FleetEnable"
-✅ Right: "Rohit is currently working as a Tech Lead at FleetEnable"
-
-❌ Wrong: "My responsibilities include..."
-✅ Right: "His responsibilities include..."
-
-❌ Wrong: "I have 5+ years of experience..."
-✅ Right: "Rohit has 5+ years of experience..."
-
-❌ Wrong: "You can reach me at..."
-✅ Right: "You can reach Rohit at..."
-
-For greetings: "Hi! I'm Rohit's AI assistant. I can help you learn about his professional background, skills, and experience. What would you like to know about Rohit?""",
-            "generic-system-instruction.txt": """You are a helpful AI assistant with access to a RAG (Retrieval-Augmented Generation) pipeline. Use the rag_qa tool to answer questions based on the provided context from the dataset. Provide accurate, helpful responses based on the retrieved information."""
-        }
-        fallback = fallback_prompts.get(filename, "Default prompt template")
-        if filename in fallback_prompts:
-            logger.info(f"✅ Using fallback template for: {filename}")
-        else:
-            logger.error(f"❌ No fallback found for: {filename}, using default")
-        return fallback
+    logger.info(f"Loading prompt template: {filename} from {prompt_path}")
+    with open(prompt_path, "r", encoding="utf-8") as f:
+        content = f.read().strip()
+        logger.info(f"✅ Successfully loaded prompt template: {filename} ({len(content)} chars)")
+        return content
 
 @dataclass
 class DatasetConfig: