langchain-google の API リファレンス

langchain-google (langchain-ai/langchain-google) の公開 API 84 件 —— クラス 44、関数 12、メソッド 28。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。

リポジトリ: langchain-ai/langchain-google

種別	件数
クラス	44
関数	12
メソッド	28

API 一覧

funclibs.community.langchain_google_community._utils.get_user_agent(module:Optional[str]=None) -> Tuple[str, str]

Returns a custom user agent header.

funclibs.community.langchain_google_community._utils.import_google() -> Tuple[Request, Credentials, ServiceCredentials]

Import google libraries.

funclibs.community.langchain_google_community._utils.import_installed_app_flow() -> InstalledAppFlow

Import `InstalledAppFlow` class.

classlibs.community.langchain_google_community.bigquery.BigQueryLoader

Load documents from Google Cloud BigQuery.

classlibs.community.langchain_google_community.calendar.base.CalendarBaseTool

Base class for Google Calendar tools.

method

libs.community.langchain_google_community.calendar.base.CalendarBaseTool.from_api_resource(api_resource:Resource) -> 'CalendarBaseTool'

Create a tool from an api resource.

classlibs.community.langchain_google_community.calendar.create_event.CreateEventSchema

Input schema for `CalendarCreateEvent`.

classlibs.community.langchain_google_community.calendar.delete_event.DeleteEventSchema

Input schema for `CalendarDeleteEvent`.

classlibs.community.langchain_google_community.calendar.move_event.MoveEventSchema

Input schema for `CalendarMoveEvent`.

classlibs.community.langchain_google_community.calendar.update_event.UpdateEventSchema

Input schema for `CalendarUpdateEvent`.

funclibs.community.langchain_google_community.calendar.utils.is_all_day_event(start_datetime:str, end_datetime:str) -> bool

Check if the event is all day.

classlibs.community.langchain_google_community.docai.DocAIParser

Google Cloud Document AI parser.

methodlibs.community.langchain_google_community.docai.DocAIParser.lazy_parse(blob:Blob) -> Iterator[Document]

Parses a blob lazily.

classlibs.community.langchain_google_community.drive.GoogleDriveLoader

Load documents from Google Drive.

methodlibs.community.langchain_google_community.drive.GoogleDriveLoader.load() -> List[Document]

Load documents.

methodlibs.community.langchain_google_community.drive.GoogleDriveLoader.validate_credentials_path(v:Any, **kwargs:Any) -> Any

Validate that credentials_path exists.

methodlibs.community.langchain_google_community.gcs_directory.GCSDirectoryLoader.load() -> List[Document]

Load documents.

classlibs.community.langchain_google_community.gcs_file.GCSFileLoader

Load documents from Google Cloud Storage file.

methodlibs.community.langchain_google_community.gcs_file.GCSFileLoader.load() -> List[Document]

Load documents.

classlibs.community.langchain_google_community.geocoding.GoogleGeocodeInput

Input schema for `GoogleGeocodingTool`.

classlibs.community.langchain_google_community.geocoding.GoogleGeocodingAPIWrapper

Wrapper for Google Maps Geocoding API.

method

libs.community.langchain_google_community.geocoding.GoogleGeocodingAPIWrapper.clean_results(results:List[Dict]) -> List[Dict]

Clean and format results.

method

libs.community.langchain_google_community.geocoding.GoogleGeocodingAPIWrapper.geocode_async(query:str, language:Optional[str]=None, region:Optional[str]=None) -> Dict[str, Any]

Geocode query asynchronously.

methodlibs.community.langchain_google_community.geocoding.GoogleGeocodingAPIWrapper.validate_environment(values:Dict) -> Any

Validate that api key exists in environment.

classlibs.community.langchain_google_community.gmail.base.GmailBaseTool

Base class for Gmail tools.

method

libs.community.langchain_google_community.gmail.base.GmailBaseTool.from_api_resource(api_resource:Resource) -> 'GmailBaseTool'

Create a tool from an api resource.

classlibs.community.langchain_google_community.gmail.create_draft.CreateDraftSchema

Input schema for `CreateDraftTool`.

classlibs.community.langchain_google_community.gmail.create_draft.GmailCreateDraft

Tool that creates a draft email for Gmail.

classlibs.community.langchain_google_community.gmail.get_message.GmailGetMessage

Tool that gets a message by ID from Gmail.

classlibs.community.langchain_google_community.gmail.get_message.SearchArgsSchema

Input schema for `GetMessageTool`.

classlibs.community.langchain_google_community.gmail.get_thread.GetThreadSchema

Input schema for `GetThreadTool`.

classlibs.community.langchain_google_community.gmail.get_thread.GmailGetThread

Tool that gets a thread by ID from Gmail.

classlibs.community.langchain_google_community.gmail.loader.GMailLoader

Load chat sessions from Gmail.

classlibs.community.langchain_google_community.gmail.search.Resource

Enumerator of Resources to search.

classlibs.community.langchain_google_community.gmail.search.SearchArgsSchema

Input schema for `SearchGmailTool`.

classlibs.community.langchain_google_community.gmail.send_message.GmailSendMessage

Tool that sends a message to Gmail.

classlibs.community.langchain_google_community.gmail.send_message.SendMessageSchema

Input schema for `SendMessageTool`.

classlibs.community.langchain_google_community.gmail.toolkit.GmailToolkit

Toolkit for interacting with Gmail.

methodlibs.community.langchain_google_community.gmail.toolkit.GmailToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

funclibs.community.langchain_google_community.gmail.utils.clean_email_body(body:str) -> str

Clean email body.

classlibs.community.langchain_google_community.model_armor.base_runnable.ModelArmorParams

Model Armor parameters.

method

libs.community.langchain_google_community.model_armor.base_runnable.ModelArmorParams.validate_project() -> 'ModelArmorParams'

Validate the project ID.

classlibs.community.langchain_google_community.places_api.GooglePlacesAPIWrapper

Wrapper around Google Places API.

classlibs.community.langchain_google_community.places_api.GooglePlacesSchema

Input schema for `GooglePlacesTool`.

classlibs.community.langchain_google_community.places_api.GooglePlacesTool

Tool that queries the Google Places API.

classlibs.community.langchain_google_community.search.GoogleSearchAPIWrapper

Wrapper for Google Custom Search API.

methodlibs.community.langchain_google_community.search.GoogleSearchAPIWrapper.run(query:str) -> str

Run query through Google Search and parse result.

classlibs.community.langchain_google_community.sheets.base.SheetsBaseTool

Base class for Google Sheets tools.

methodlibs.community.langchain_google_community.sheets.base.SheetsBaseTool.from_api_key(api_key:str) -> 'SheetsBaseTool'

Create a tool from an API key.

method

libs.community.langchain_google_community.sheets.base.SheetsBaseTool.from_api_resource(api_resource:Resource) -> 'SheetsBaseTool'

Create a tool from an API resource.

classlibs.community.langchain_google_community.sheets.enums.DateTimeRenderOption

Google Sheets date/time render options.

classlibs.community.langchain_google_community.sheets.enums.MajorDimension

Google Sheets major dimension options.

classlibs.community.langchain_google_community.sheets.enums.ValueRenderOption

Google Sheets value render options.

classlibs.community.langchain_google_community.sheets.read_sheet_tools.ReadSheetDataSchema

Input schema for `SheetsReadDataTool`.

classlibs.community.langchain_google_community.sheets.toolkit.SheetsToolkit

Toolkit for interacting with Google Sheets.

methodlibs.community.langchain_google_community.sheets.toolkit.SheetsToolkit.get_tools() -> List[BaseTool]

Get the tools in the toolkit.

funclibs.community.langchain_google_community.sheets.utils.validate_a1_range(range_name:str) -> bool

Validate A1 notation range format.

funclibs.community.langchain_google_community.sheets.utils.validate_range_name(range_name:str) -> str

Validate and normalize a range name.

funclibs.community.langchain_google_community.sheets.utils.validate_spreadsheet_id(spreadsheet_id:str) -> str

Validate and normalize a Google Spreadsheet ID.

classlibs.community.langchain_google_community.vertex_ai_search.VertexAISearchRetriever

`Google Vertex AI Search` retriever.

funclibs.genai.langchain_google_genai._common.get_user_agent(module:str | None=None) -> tuple[str, str]

Returns a custom user agent header.

classlibs.genai.langchain_google_genai._image_utils.Route

Image loading route.

classlibs.genai.langchain_google_genai.chat_models.ChatGoogleGenerativeAI

Google GenAI chat model integration.

methodlibs.genai.langchain_google_genai.chat_models.ChatGoogleGenerativeAI.get_num_tokens(text:str) -> int

Get the number of tokens present in the text.

methodlibs.genai.langchain_google_genai.chat_models.ChatGoogleGenerativeAI.validate_environment() -> Self

Validates params and builds client.

classlibs.genai.langchain_google_genai.embeddings.GoogleGenerativeAIEmbeddings

Google Generative AI Embeddings.

method

libs.genai.langchain_google_genai.embeddings.GoogleGenerativeAIEmbeddings.embed_query(text:str, *task_type:str | None=None, *title:str | None=None, *output_dimensionality:int | None=None) -> list[float]

Embed a single text.

classlibs.vertexai.langchain_google_vertexai._image_utils.Route

Image Loading Route.

funclibs.vertexai.langchain_google_vertexai._utils.enforce_stop_tokens(text:str, stop:list[str]) -> str

Cut off the text as soon as any stop words occur.

funclibs.vertexai.langchain_google_vertexai._utils.get_user_agent(module:str | None=None) -> tuple[str, str]

Returns a custom user agent header.

funclibs.vertexai.langchain_google_vertexai._utils.load_image_from_gcs(path:str, project:str | None=None) -> Image

Loads an `Image` from GCS.

method

libs.vertexai.langchain_google_vertexai.callbacks.VertexAICallbackHandler.on_llm_end(response:LLMResult, **kwargs:Any) -> None

Collects token usage.

method

libs.vertexai.langchain_google_vertexai.callbacks.VertexAICallbackHandler.on_llm_new_token(token:str | list[str | dict[str, Any]], **kwargs:Any) -> None

Runs on new LLM token.

method

libs.vertexai.langchain_google_vertexai.callbacks.VertexAICallbackHandler.on_llm_start(serialized:dict[str, Any], prompts:list[str], **kwargs:Any) -> None

Runs when LLM starts running.

methodlibs.vertexai.langchain_google_vertexai.chat_models.ChatVertexAI.get_num_tokens(text:str) -> int

Get the number of tokens present in the text.

classlibs.vertexai.langchain_google_vertexai.embeddings.VertexAIEmbeddings

Google Cloud VertexAI embedding models.

method

libs.vertexai.langchain_google_vertexai.embeddings.VertexAIEmbeddings.embed(texts:list[str], embeddings_task_type:EmbeddingTaskTypes | None=None, dimensions:int | None=None, title:str | None=None) -> list[list[float]]

Embed a list of strings.

method

libs.vertexai.langchain_google_vertexai.embeddings.VertexAIEmbeddings.embed_documents(texts:list[str], *embeddings_task_type:EmbeddingTaskTypes='RETRIEVAL_DOCUMENT') -> list[list[float]]

Embed a list of documents.

method

libs.vertexai.langchain_google_vertexai.embeddings.VertexAIEmbeddings.embed_query(text:str, *embeddings_task_type:EmbeddingTaskTypes='RETRIEVAL_QUERY') -> list[float]

Embed a text.

methodlibs.vertexai.langchain_google_vertexai.evaluators._core.StringEvaluator.evaluation_name() -> str

The name of the evaluation.

classlibs.vertexai.langchain_google_vertexai.functions_utils.PydanticFunctionsOutputParser

Parse an output as a pydantic object.

methodlibs.vertexai.langchain_google_vertexai.llms.VertexAI.get_num_tokens(text:str) -> int

Get the number of tokens present in the text.

classlibs.vertexai.langchain_google_vertexai.vision_models.VertexAIImageGeneratorChat

Generates an image from a prompt.

classlibs.vertexai.langchain_google_vertexai.vision_models.VertexAIVisualQnAChat

Chat implementation of a visual QnA model.

この情報について

掲載しているシグネチャは langchain-ai/langchain-google の公開ソースコードを Python の ast モジュールで静的解析し、引数名・デフォルト値・型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。詳しくは仕組みの解説をご覧ください。

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