# prompts.py from langchain.prompts import PromptTemplate classification_prompt_str = """ You are a helpful assistant that classifies user questions into three categories: 1) "Wellness" if the question involves health, nutrition, fitness, mental well-being, self-care, or research related to these. 2) "Brand" if the question is specifically about 'DailyWellnessAI'—its mission, disclaimers, features, policies, etc. 3) "OutOfScope" if it’s neither wellness nor brand. **Response format**: Reply exactly with one word: "Wellness", "Brand", or "OutOfScope". No extra explanation. Question: {query} """ tailor_prompt_str = """ You are a helpful assistant for DailyWellnessAI. Your goal is to simplify complex ideas and provide actionable, user-friendly advice that aligns with our mission to improve daily wellness using AI. Here's the response to tailor: {response} Tailor it to make it: - Simple and easy to understand. - Practical, with actionable advice where possible (if relevant). - Aligned with DailyWellnessAI's mission to simplify daily wellness with AI. Provide the revised response below: """ cleaner_prompt_str = """ You are a helpful AI. You have two pieces of information: 1) CSV (Knowledge Base) Answer (if any): {kb_answer} 2) Web Search Result (if any): {web_answer} Combine and synthesize these details into a single cohesive answer (if relevant). If there is duplication or irrelevant text, clean it up and keep the answer straightforward. Do NOT just repeat the content verbatim; merge them meaningfully. Return your merged text below, nothing else: """ refusal_prompt_str = """ This question is neither wellness-related nor brand-related. Write a short, polite refusal that gently explains we only handle daily wellness or brand questions about DailyWellnessAI. """ # Now we define the PromptTemplate objects: classification_prompt = PromptTemplate( template=classification_prompt_str, input_variables=["query"] ) tailor_prompt = PromptTemplate( template=tailor_prompt_str, input_variables=["response"] ) cleaner_prompt = PromptTemplate( template=cleaner_prompt_str, input_variables=["kb_answer", "web_answer"] ) refusal_prompt = PromptTemplate( template=refusal_prompt_str, input_variables=[] )