ChatBotAgenticRAG_dup / prompts.py
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Create prompts.py
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# 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=[]
)