Google

export GOOGLE_API_KEY="YOUR_API_KEY"

from langchain_google_genai import ChatGoogleGenerativeAI
from langchain.messages import HumanMessage

llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash")

# 간단한 텍스트 호출
result = llm.invoke("Sing a ballad of LangChain.")
print(result.content)

# gemini-pro-vision을 사용한 멀티모달 호출
message = HumanMessage(
    content=[
        {
            "type": "text",
            "text": "What's in this image?",
        },
        {"type": "image_url", "image_url": "https://picsum.photos/seed/picsum/200/300"},
    ]
)
result = llm.invoke([message])
print(result.content)

from langchain_google_genai import GoogleGenerativeAIEmbeddings

embeddings = GoogleGenerativeAIEmbeddings(model="models/gemini-embedding-001")
vector = embeddings.embed_query("What are embeddings?")
print(vector[:5])

from langchain_google_genai import GoogleGenerativeAI

llm = GoogleGenerativeAI(model="gemini-2.5-flash")
result = llm.invoke("Sing a ballad of LangChain.")
print(result)

from langchain_google_vertexai import ChatVertexAI

from langchain_google_vertexai.model_garden import ChatAnthropicVertex

from langchain_google_vertexai.model_garden_maas.llama import VertexModelGardenLlama

from langchain_google_vertexai.model_garden_maas.mistral import VertexModelGardenMistral

from langchain_google_vertexai.gemma import GemmaChatLocalHF

from langchain_google_vertexai.gemma import GemmaChatLocalKaggle

from langchain_google_vertexai.gemma import GemmaChatVertexAIModelGarden

from langchain_google_vertexai.vision_models import VertexAIImageCaptioningChat

from langchain_google_vertexai.vision_models import VertexAIImageEditorChat

from langchain_google_vertexai.vision_models import VertexAIImageGeneratorChat

from langchain_google_vertexai.vision_models import VertexAIVisualQnAChat

from langchain_google_vertexai import VertexAIModelGarden

from langchain_google_vertexai.gemma import GemmaLocalHF

from langchain_google_vertexai.gemma import GemmaLocalKaggle

from langchain_google_vertexai.gemma import GemmaVertexAIModelGarden

from langchain_google_vertexai.vision_models import VertexAIImageCaptioning

from langchain_google_vertexai import VertexAIEmbeddings

from langchain_google_alloydb_pg import AlloyDBLoader # AlloyDBEngine도 사용 가능

from langchain_google_community import BigQueryLoader

from langchain_google_bigtable import BigtableLoader

from langchain_google_cloud_sql_mysql import MySQLLoader # MySQLEngine도 사용 가능

from langchain_google_cloud_sql_mssql import MSSQLLoader # MSSQLEngine도 사용 가능

from langchain_google_cloud_sql_pg import PostgresLoader # PostgresEngine도 사용 가능

from langchain_google_community import GCSDirectoryLoader

from langchain_google_community import GCSFileLoader

from langchain_google_community.vision import CloudVisionLoader

from langchain_google_el_carro import ElCarroLoader

from langchain_google_firestore import FirestoreLoader

from langchain_google_datastore import DatastoreLoader

from langchain_google_memorystore_redis import MemorystoreDocumentLoader

from langchain_google_spanner import SpannerLoader

from langchain_google_community import SpeechToTextLoader

from langchain_core.document_loaders.blob_loaders import Blob
from langchain_google_community import DocAIParser

from langchain_google_community import GoogleTranslateTransformer

from langchain_google_alloydb_pg import AlloyDBVectorStore # AlloyDBEngine도 사용 가능

# 참고: BigQueryVectorSearch는 버전에 따라 langchain 또는 langchain_community에 있을 수 있습니다.
# 사용 예제에서 import를 확인하세요.
from langchain.vectorstores import BigQueryVectorSearch # 또는 langchain_community.vectorstores

from langchain_google_memorystore_redis import RedisVectorStore

from langchain_google_spanner import SpannerVectorStore

from langchain_google_firestore import FirestoreVectorStore

from langchain_google_cloud_sql_mysql import MySQLVectorStore # MySQLEngine도 사용 가능

from langchain_google_cloud_sql_pg import PostgresVectorStore # PostgresEngine도 사용 가능

from langchain_google_vertexai import VectorSearchVectorStore

from langchain_google_vertexai import VectorSearchVectorStoreDatastore

from langchain_google_vertexai import VectorSearchVectorStoreGCS

from langchain_google_community import VertexAIMultiTurnSearchRetriever

# 참고: 예제 코드는 VertexAIMultiTurnSearchRetriever를 보여주며, VertexAISearchRetriever가 별도인지 관련되어 있는지 확인하세요.
# 관련되어 있거나 원본 문서의 오타일 수 있다고 가정합니다:
from langchain_google_community import VertexAISearchRetriever # 필요한 경우 클래스 이름 확인

from langchain_google_community import VertexAISearchSummaryTool

from langchain_google_community.documentai_warehouse import DocumentAIWarehouseRetriever

from langchain_google_community import TextToSpeechTool

from langchain_googledrive.utilities.google_drive import GoogleDriveAPIWrapper
from langchain_googledrive.tools.google_drive.tool import GoogleDriveSearchTool

from langchain_community.tools.google_finance import GoogleFinanceQueryRun
from langchain_community.utilities.google_finance import GoogleFinanceAPIWrapper

from langchain_community.tools.google_jobs import GoogleJobsQueryRun
# 참고: 유틸리티가 공유될 수 있으며, 예를 들어 GoogleFinanceAPIWrapper가 나열되었는데, 올바른 유틸리티를 확인하세요.
# from langchain_community.utilities.google_jobs import GoogleJobsAPIWrapper # 존재하는 경우

from langchain_community.tools.google_lens import GoogleLensQueryRun
from langchain_community.utilities.google_lens import GoogleLensAPIWrapper

# 참고: GooglePlacesTool은 버전에 따라 langchain 또는 langchain_community에 있을 수 있습니다.
from langchain.tools import GooglePlacesTool # 또는 langchain_community.tools

from langchain_community.tools.google_scholar import GoogleScholarQueryRun
from langchain_community.utilities.google_scholar import GoogleScholarAPIWrapper

from langchain_google_community import GoogleSearchAPIWrapper

from langchain_community.tools import GoogleSearchRun, GoogleSearchResults

from langchain_community.agent_toolkits.load_tools import load_tools
tools = load_tools(["google-search"])

from langchain_community.tools.google_trends import GoogleTrendsQueryRun
from langchain_community.utilities.google_trends import GoogleTrendsAPIWrapper

# 전체 툴킷 로드
from langchain_google_community import GmailToolkit

# 또는 개별 도구 사용
from langchain_google_community.gmail.create_draft import GmailCreateDraft
from langchain_google_community.gmail.get_message import GmailGetMessage
from langchain_google_community.gmail.get_thread import GmailGetThread
from langchain_google_community.gmail.search import GmailSearch
from langchain_google_community.gmail.send_message import GmailSendMessage

toolbox --tools-file "tools.yaml"

from toolbox_langchain import ToolboxClient

async with ToolboxClient("http://127.0.0.1:5000") as client:

    tools = client.load_toolset()

from langchain_google_vertexai.callbacks import VertexAICallbackHandler

from langchain_google_vertexai.evaluators.evaluation import VertexPairWiseStringEvaluator

# 참고: 원본 문서에서는 VertexPairWiseStringEvaluator를 두 번 나열했습니다. 이 클래스가 존재한다고 가정합니다.
from langchain_google_vertexai.evaluators.evaluation import VertexStringEvaluator # 필요한 경우 클래스 이름 확인

from langchain_google_community import GoogleDriveLoader

from langchain_community.vectorstores import ScaNN

from langchain_googledrive.retrievers import GoogleDriveRetriever

from langchain_googledrive.utilities.google_drive import GoogleDriveAPIWrapper
from langchain_googledrive.tools.google_drive.tool import GoogleDriveSearchTool

from langchain_community.tools.google_finance import GoogleFinanceQueryRun
from langchain_community.utilities.google_finance import GoogleFinanceAPIWrapper

from langchain_community.tools.google_jobs import GoogleJobsQueryRun
# 참고: 유틸리티가 공유될 수 있으며, 예를 들어 GoogleFinanceAPIWrapper가 나열되었는데, 올바른 유틸리티를 확인하세요.
# from langchain_community.utilities.google_jobs import GoogleJobsAPIWrapper # 존재하는 경우

from langchain_community.tools.google_lens import GoogleLensQueryRun
from langchain_community.utilities.google_lens import GoogleLensAPIWrapper

# 참고: GooglePlacesTool은 버전에 따라 langchain 또는 langchain_community에 있을 수 있습니다.
from langchain.tools import GooglePlacesTool # 또는 langchain_community.tools

from langchain_community.tools.google_scholar import GoogleScholarQueryRun
from langchain_community.utilities.google_scholar import GoogleScholarAPIWrapper

from langchain_google_community import GoogleSearchAPIWrapper

from langchain_community.tools import GoogleSearchRun, GoogleSearchResults

from langchain_community.agent_toolkits.load_tools import load_tools
tools = load_tools(["google-search"])

from langchain_community.tools.google_trends import GoogleTrendsQueryRun
from langchain_community.utilities.google_trends import GoogleTrendsAPIWrapper

# 전체 툴킷 로드
from langchain_google_community import GmailToolkit

# 또는 개별 도구 사용
from langchain_google_community.gmail.create_draft import GmailCreateDraft
from langchain_google_community.gmail.get_message import GmailGetMessage
from langchain_google_community.gmail.get_thread import GmailGetThread
from langchain_google_community.gmail.search import GmailSearch
from langchain_google_community.gmail.send_message import GmailSendMessage

from langchain_google_community import GMailLoader

from langchain_community.utilities import SearchApiAPIWrapper

from langchain_community.utilities import SerpAPIWrapper

from langchain_community.utilities import GoogleSerperAPIWrapper

# 참고: YouTubeSearchTool은 langchain 또는 langchain_community에 있을 수 있습니다.
from langchain.tools import YouTubeSearchTool # 또는 langchain_community.tools

from langchain_community.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader
# 종종 whisper 파서와 함께 사용됩니다:
# from langchain_community.document_loaders.parsers import OpenAIWhisperParser, OpenAIWhisperParserLocal

from langchain_community.document_loaders import YoutubeLoader