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"""Prompts for ChatGPT.""" | |
from langchain.prompts.chat import ( | |
AIMessagePromptTemplate, | |
ChatPromptTemplate, | |
HumanMessagePromptTemplate, | |
) | |
from gpt_index.prompts.prompts import RefinePrompt, RefineTableContextPrompt | |
# Refine Prompt | |
CHAT_REFINE_PROMPT_TMPL_MSGS = [ | |
HumanMessagePromptTemplate.from_template("{query_str}"), | |
AIMessagePromptTemplate.from_template("{existing_answer}"), | |
HumanMessagePromptTemplate.from_template( | |
"We have the opportunity to refine the above answer " | |
"(only if needed) with some more context below.\n" | |
"------------\n" | |
"{context_msg}\n" | |
"------------\n" | |
"Given the new context, refine the original answer to better " | |
"answer the question. " | |
"If the context isn't useful, output the original answer again.", | |
), | |
] | |
CHAT_REFINE_PROMPT_LC = ChatPromptTemplate.from_messages(CHAT_REFINE_PROMPT_TMPL_MSGS) | |
CHAT_REFINE_PROMPT = RefinePrompt.from_langchain_prompt(CHAT_REFINE_PROMPT_LC) | |
# Table Context Refine Prompt | |
CHAT_REFINE_TABLE_CONTEXT_TMPL_MSGS = [ | |
HumanMessagePromptTemplate.from_template("{query_str}"), | |
AIMessagePromptTemplate.from_template("{existing_answer}"), | |
HumanMessagePromptTemplate.from_template( | |
"We have provided a table schema below. " | |
"---------------------\n" | |
"{schema}\n" | |
"---------------------\n" | |
"We have also provided some context information below. " | |
"{context_msg}\n" | |
"---------------------\n" | |
"Given the context information and the table schema, " | |
"refine the original answer to better " | |
"answer the question. " | |
"If the context isn't useful, return the original answer." | |
), | |
] | |
CHAT_REFINE_TABLE_CONTEXT_PROMPT_LC = ChatPromptTemplate.from_messages( | |
CHAT_REFINE_TABLE_CONTEXT_TMPL_MSGS | |
) | |
CHAT_REFINE_TABLE_CONTEXT_PROMPT = RefineTableContextPrompt.from_langchain_prompt( | |
CHAT_REFINE_TABLE_CONTEXT_PROMPT_LC | |
) | |