[PYTHON/LANGCHAIN] AgentExecutor 클래스 : 생성자에서 agent/tools 인자를 사용해 AgentExecutor 객체 만들기 1

■ AgentExecutor 클래스의 생성자에서 agent/tools 인자를 사용해 AgentExecutor 객체를 만드는 방법을 보여준다.

※ OPENAI_API_KEY 및 TAVILY_API_KEY 환경 변수 값은 .env 파일에 정의한다.

▶ main.py


from dotenv                                  import load_dotenv
from langchain_openai                        import ChatOpenAI
from langchain_community.tools.tavily_search import TavilySearchResults
from langchain_core.prompts                  import ChatPromptTemplate
from langchain.agents                        import create_tool_calling_agent
from langchain.agents                        import AgentExecutor

load_dotenv()

chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125")

toolList = [TavilySearchResults(max_results = 1)]

chatPromptTemplate = ChatPromptTemplate.from_messages(
    [
        ("system"     , "You are a helpful assistant."),
        ("placeholder", "{chat_history}"              ),
        ("human"      , "{input}"                     ),
        ("placeholder", "{agent_scratchpad}"          )
    ]
)

runnableSequence = create_tool_calling_agent(chatOpenAI, toolList, chatPromptTemplate)

agentExecutor = AgentExecutor(agent = runnableSequence, tools = toolList)

from dotenv import load_dotenv

from langchain_openai import ChatOpenAI

from langchain_community.tools.tavily_search import TavilySearchResults

from langchain_core.prompts import ChatPromptTemplate

from langchain.agents import create_tool_calling_agent

from langchain.agents import AgentExecutor

load_dotenv()

chatOpenAI = ChatOpenAI(model = "gpt-3.5-turbo-0125")

toolList = [TavilySearchResults(max_results = 1)]

chatPromptTemplate = ChatPromptTemplate.from_messages(

[

("system" , "You are a helpful assistant."),

("placeholder", "{chat_history}" ),

("human" , "{input}" ),

("placeholder", "{agent_scratchpad}" )

]

)

runnableSequence = create_tool_calling_agent(chatOpenAI, toolList, chatPromptTemplate)

agentExecutor = AgentExecutor(agent = runnableSequence, tools = toolList)

▶ requirements.txt


aiohttp==3.9.5
aiosignal==1.3.1
annotated-types==0.7.0
anyio==4.4.0
async-timeout==4.0.3
attrs==23.2.0
certifi==2024.6.2
charset-normalizer==3.3.2
dataclasses-json==0.6.7
distro==1.9.0
exceptiongroup==1.2.1
frozenlist==1.4.1
greenlet==3.0.3
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
jsonpatch==1.33
jsonpointer==3.0.0
langchain==0.2.5
langchain-community==0.2.5
langchain-core==0.2.9
langchain-openai==0.1.8
langchain-text-splitters==0.2.1
langsmith==0.1.80
marshmallow==3.21.3
multidict==6.0.5
mypy-extensions==1.0.0
numpy==1.26.4
openai==1.34.0
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
SQLAlchemy==2.0.31
tavily-python==0.3.3
tenacity==8.4.1
tiktoken==0.7.0
tqdm==4.66.4
typing-inspect==0.9.0
typing_extensions==4.12.2
urllib3==2.2.2
yarl==1.9.4

aiohttp==3.9.5

aiosignal==1.3.1

annotated-types==0.7.0

anyio==4.4.0

async-timeout==4.0.3

attrs==23.2.0

certifi==2024.6.2

charset-normalizer==3.3.2

dataclasses-json==0.6.7

distro==1.9.0

exceptiongroup==1.2.1

frozenlist==1.4.1

greenlet==3.0.3

h11==0.14.0

httpcore==1.0.5

httpx==0.27.0

idna==3.7

jsonpatch==1.33

jsonpointer==3.0.0

langchain==0.2.5

langchain-community==0.2.5

langchain-core==0.2.9

langchain-openai==0.1.8

langchain-text-splitters==0.2.1

langsmith==0.1.80

marshmallow==3.21.3

multidict==6.0.5

mypy-extensions==1.0.0

numpy==1.26.4

openai==1.34.0

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

SQLAlchemy==2.0.31

tavily-python==0.3.3

tenacity==8.4.1

tiktoken==0.7.0

tqdm==4.66.4

typing-inspect==0.9.0

typing_extensions==4.12.2

urllib3==2.2.2

yarl==1.9.4

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