seperate prompts

app/config.py

@@ -1,6 +1,13 @@
 from typing import Dict, Optional, List
 from dataclasses import dataclass
 from haystack.dataclasses import ChatMessage
+import os
+
+def load_prompt_template(filename: str) -> str:
+    """Load prompt template from txt file."""
+    prompt_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "prompts", filename)
+    with open(prompt_path, "r", encoding="utf-8") as f:
+        return f.read().strip()
 
 @dataclass
 class DatasetConfig:
@@ -19,20 +26,7 @@ DATASET_CONFIGS = {
             "role": "act",
             "prompt": "prompt"
         },
-        prompt_template="""
-        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:
-        """
+        prompt_template=load_prompt_template("awesome-chatgpt-prompts.txt")
     ),
     "settings-dataset": DatasetConfig(
         name="syntaxhacker/rag_pipeline",
@@ -42,56 +36,13 @@ DATASET_CONFIGS = {
             "answer": "answer",
             "context": "context"
         },
-        prompt_template="""
-        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:
-        """
+        prompt_template=load_prompt_template("settings-dataset.txt")
     ),
     "seven-wonders": DatasetConfig(
         name="bilgeyucel/seven-wonders",
         content_field="content",
         fields={},  # No additional fields needed
-        prompt_template="""
-        Given the following information about the Seven Wonders, please answer the question.
-        
-        Context:
-        {% for document in documents %}
-            {{ document.content }}
-        {% endfor %}
-        
-        Question: {{question}}
-        Answer:
-        """
+        prompt_template=load_prompt_template("seven-wonders.txt")
     ),
     "psychology-dataset": DatasetConfig(
         name="jkhedri/psychology-dataset",
@@ -101,21 +52,7 @@ DATASET_CONFIGS = {
             "response_j": "response_j",  # Response from one model
             "response_k": "response_k"   # Response from another model
         },
-        prompt_template="""
-        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:
-        """
+        prompt_template=load_prompt_template("psychology-dataset.txt")
     ),
     "developer-portfolio": DatasetConfig(
         name="syntaxhacker/developer-portfolio-rag",
@@ -126,41 +63,7 @@ DATASET_CONFIGS = {
             "answer": "answer",
             "context": "context"
         },
-        prompt_template="""
-        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:
-        """
+        prompt_template=load_prompt_template("developer-portfolio.txt")
     ),
 }
 

app/main.py

@@ -4,7 +4,7 @@ import os
 import logging
 import sys
 from dotenv import load_dotenv
-from .config import DATASET_CONFIGS
+from .config import DATASET_CONFIGS, load_prompt_template
 from openai import OpenAI
 from openai.types.chat import ChatCompletionMessageParam
 import json
@@ -141,38 +141,16 @@ async def chat_with_ai(request: ChatRequest):
         ]
         
         # Add system message to guide the AI
-        system_message: ChatCompletionMessageParam = {
-            "role": "system",
-            "content": """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?"""
-        }
-        
-        # Insert system message at the beginning
+        if request.dataset == "developer-portfolio":
+            system_message: ChatCompletionMessageParam = {
+                "role": "system",
+                "content": load_prompt_template("system-instruction.txt")
+            }
+        else:
+            system_message: ChatCompletionMessageParam = {
+                "role": "system",
+                "content": load_prompt_template("generic-system-instruction.txt")
+            }
         messages.insert(0, system_message)
         
         # Make the API call with tools

prompts/awesome-chatgpt-prompts.txt

@@ -0,0 +1,12 @@
+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:

prompts/developer-portfolio.txt

@@ -0,0 +1,33 @@
+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:

prompts/generic-system-instruction.txt

@@ -0,0 +1 @@
+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.

prompts/psychology-dataset.txt

@@ -0,0 +1,13 @@
+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:

prompts/settings-dataset.txt

@@ -0,0 +1,32 @@
+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:

prompts/seven-wonders.txt

@@ -0,0 +1,9 @@
+Given the following information about the Seven Wonders, please answer the question.
+
+Context:
+{% for document in documents %}
+    {{ document.content }}
+{% endfor %}
+
+Question: {{question}}
+Answer:

prompts/system-instruction.txt

@@ -0,0 +1,27 @@
+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?"