prompts.py

# 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, concise answer (if relevant).
Important guidelines:
- Do NOT repeat either text verbatim or echo large passages.
- Summarize or rewrite in your own words.
- Keep it straightforward and avoid duplication or extraneous details.
- Provide only one final answer below, nothing else.

Final Answer (in your own words, do NOT quote the sources directly):
"""

# Refusal when the question does not fit in wellness or brand-related topics.
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.
"""

# Modify prompt templates to work with chat history if needed
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=[]
)