Binding-Stop-Sequence
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/binding/
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnablePassthrough
from langchain_openai import ChatOpenAI
prompt = ChatPromptTemplate.from_messages(
[
(
"system",
"Write out the following equation using algebraic symbols then solve it. Use the format\n\nEQUATION:...\nSOLUTION:...\n\n",
),
("human", "{equation_statement}"),
]
)
model = ChatOpenAI(temperature=0)
runnable = (
{"equation_statement": RunnablePassthrough()} | prompt | model | StrOutputParser()
)
print(runnable.invoke("x raised to the third plus seven equals 12"))
EQUATION: x^3 + 7 = 12
SOLUTION:
Subtract 7 from both sides:
x^3 = 5
Take the cube root of both sides:
x = ∛5
runnable = (
{"equation_statement": RunnablePassthrough()}
| prompt
| model.bind(stop="SOLUTION")
| StrOutputParser()
)
print(runnable.invoke("x raised to the third plus seven equals 12"))
EQUATION: x^3 + 7 = 12
Score: 10
Category: langchain