langchain-google API reference

84 public APIs from langchain-google (langchain-ai/langchain-google) — 44 classes, 12 functions, 28 methods. Signatures extracted by static analysis of the actual source.

Repository: langchain-ai/langchain-google

Kind	Count
Classes	44
Functions	12
Methods	28

API list

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.

About this data

These signatures were extracted from the public source of langchain-ai/langchain-google using Python's ast module. Argument names, default values, type annotations and return types are taken verbatim from the code. Implementation bodies are never stored. See how it works for details.

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