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from typing import List
from typing import Literal
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain.prompts import ChatPromptTemplate
from langchain_core.utils.function_calling import convert_to_openai_function
from langchain.output_parsers.openai_functions import JsonOutputFunctionsParser
class KeywordsOutput(BaseModel):
"""Analyzing the user query to get keywords for a search engine"""
keywords: list = Field(
description="""
Generate 1 or 2 relevant keywords from the user query to ask a search engine for scientific research papers. Answer only with English keywords.
Do not use special characters or accents.
Example:
- "What is the impact of deep sea mining ?" -> ["deep sea mining"]
- "Quel est l'impact de l'exploitation minière en haute mer ?" -> ["deep sea mining"]
- "How will El Nino be impacted by climate change" -> ["el nino"]
- "Is climate change a hoax" -> [Climate change","hoax"]
"""
)
def make_keywords_chain(llm):
functions = [convert_to_openai_function(KeywordsOutput)]
llm_functions = llm.bind(functions = functions,function_call={"name":"KeywordsOutput"})
chain = llm_functions | JsonOutputFunctionsParser()
return chain |