Chain-Decorator-2
Sat 17 May 2025
!python --version
Python 3.12.4
from constants import OPENAI_API_KEY
!pip show langchain-openai | grep "Version:"
Version: 0.2.9
import os
os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY
from langchain_openai import ChatOpenAI
model = ChatOpenAI(model="gpt-4o-mini")
# https://python.langchain.com/docs/how_to/functions/
from langchain_core.output_parsers import StrOutputParser
from langchain_core.runnables import chain
from langchain_core.prompts import ChatPromptTemplate
prompt1 = ChatPromptTemplate.from_template("Tell me a joke about {topic}")
prompt2 = ChatPromptTemplate.from_template("What is the subject of this joke: {joke}")
@chain
def custom_chain(text):
prompt_val1 = prompt1.invoke({"topic": text})
output1 = ChatOpenAI().invoke(prompt_val1)
parsed_output1 = StrOutputParser().invoke(output1)
chain2 = prompt2 | ChatOpenAI() | StrOutputParser()
return chain2.invoke({"joke": parsed_output1})
custom_chain.invoke("bears")
'The subject of the joke is the bear breaking up with his girlfriend.'
Score: 10
Category: langchain