[PYTHON/LANGCHAIN] ChatOpenAI 클래스 : bind 메소드에서 stop 인자를 사용해 출력 단축하기

■ ChatOpenAI 클래스의 bind 메소드에서 stop 인자를 사용해 출력을 단축하는 방법을 보여준다.

※ OPENAI_API_KEY 환경 변수 값은 .env 파일에 정의한다.

▶ main.py


from dotenv                        import load_dotenv
from langchain_core.prompts        import ChatPromptTemplate
from langchain_openai              import ChatOpenAI
from langchain_core.runnables      import RunnablePassthrough
from langchain_core.output_parsers import StrOutputParser

load_dotenv()

chatPromptTemplate = 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}")
    ]
)

chatOpenAI = ChatOpenAI(temperature=0)

runnableSequence = (
    {"equation_statement" : RunnablePassthrough()}
    | chatPromptTemplate
    | chatOpenAI.bind(stop = "SOLUTION")
    | StrOutputParser()
)

responseString = runnableSequence.invoke("x raised to the third plus seven equals 12")

print(responseString)

"""
EQUATION: x^3 + 7 = 12

"""

from dotenv import load_dotenv

from langchain_core.prompts import ChatPromptTemplate

from langchain_openai import ChatOpenAI

from langchain_core.runnables import RunnablePassthrough

from langchain_core.output_parsers import StrOutputParser

load_dotenv()

chatPromptTemplate = 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}")

]

)

chatOpenAI = ChatOpenAI(temperature=0)

runnableSequence = (

{"equation_statement" : RunnablePassthrough()}

| chatPromptTemplate

| chatOpenAI.bind(stop = "SOLUTION")

| StrOutputParser()

)

responseString = runnableSequence.invoke("x raised to the third plus seven equals 12")

print(responseString)

"""

EQUATION: x^3 + 7 = 12

"""

▶ requirements.txt


annotated-types==0.7.0
anyio==4.4.0
certifi==2024.6.2
charset-normalizer==3.3.2
distro==1.9.0
exceptiongroup==1.2.1
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
jsonpatch==1.33
jsonpointer==3.0.0
langchain-core==0.2.9
langchain-openai==0.1.8
langsmith==0.1.81
openai==1.35.2
orjson==3.10.5
packaging==24.1
pydantic==2.7.4
pydantic_core==2.18.4
python-dotenv==1.0.1
PyYAML==6.0.1
regex==2024.5.15
requests==2.32.3
sniffio==1.3.1
tenacity==8.4.1
tiktoken==0.7.0
tqdm==4.66.4
typing_extensions==4.12.2
urllib3==2.2.2

annotated-types==0.7.0

anyio==4.4.0

certifi==2024.6.2

charset-normalizer==3.3.2

distro==1.9.0

exceptiongroup==1.2.1

h11==0.14.0

httpcore==1.0.5

httpx==0.27.0

idna==3.7

jsonpatch==1.33

jsonpointer==3.0.0

langchain-core==0.2.9

langchain-openai==0.1.8

langsmith==0.1.81

openai==1.35.2

orjson==3.10.5

packaging==24.1

pydantic==2.7.4

pydantic_core==2.18.4

python-dotenv==1.0.1

PyYAML==6.0.1

regex==2024.5.15

requests==2.32.3

sniffio==1.3.1

tenacity==8.4.1

tiktoken==0.7.0

tqdm==4.66.4

typing_extensions==4.12.2

urllib3==2.2.2

※ pip install python-dotenv langchain-openai 명령을 실행했다.