Package @google-cloud/vertexai (1.4.1)

Classes

ChatSession

The ChatSession class is used to make multiturn send message requests. You can instantiate this class by using the startChat method in the GenerativeModel class. The sendMessage method makes an async call to get the response of a chat message at at once. The sendMessageStream method makes an async call to stream the response of a chat message as it's being generated.

ChatSessionPreview

The ChatSessionPreview class is used to make multiturn send message requests. You can instantiate this class by using the startChat method in the GenerativeModelPreview class. The sendMessage method makes an async call to get the response of a chat message at at once. The sendMessageStream method makes an async call to stream the response of a chat message as it's being generated.

ClientError

ClientError is thrown when http 4XX status is received. For details please refer to https://developer.mozilla.org/en-US/docs/Web/HTTP/Status#client_error_responses

GenerateContentResponseHandler

Helper class to render any extra properties out of GenerateContentResponse or properties of GenerateContentResponse

GenerativeModel

The GenerativeModel class is the base class for the generative models on Vertex AI. NOTE: Don't instantiate this class directly. Use vertexai.getGenerativeModel() instead.

GenerativeModelPreview

The GenerativeModelPreview class is the base class for the generative models that are in preview. NOTE: Don't instantiate this class directly. Use vertexai.preview.getGenerativeModel() instead.

GoogleAuthError

GoogleAuthError is thrown when there is authentication issue with the request

GoogleGenerativeAIError

GoogleGenerativeAIError is thrown when http response is not ok and status code is not 4XX For details please refer to https://developer.mozilla.org/en-US/docs/Web/HTTP/Status

IllegalArgumentError

IllegalArgumentError is thrown when the request or operation is invalid

VertexAI

The VertexAI class is the base class for authenticating to Vertex AI. To use Vertex AI's generative AI models, use the getGenerativeModel method. To use generative AI features that are in Preview, use the preview namespace.

Interfaces

BaseModelParams

Base params for initializing a model or calling GenerateContent.

BasePart

A part of a turn in a conversation with the model with a fixed MIME type. It has one of the following mutually exclusive fields: 1. text 2. inlineData 3. fileData 4. functionResponse 5. functionCall

Citation

Source attributions for content.

CitationMetadata

A collection of source attributions for a piece of content.

Content

The base structured datatype containing multi-part content of a message.

CountTokensRequest

Params used to call the countTokens method.

CountTokensResponse

Response returned from countTokens method.

FileData

URI based data.

FileDataPart

A file data part of a conversation with the model.

FunctionCall

A predicted FunctionCall returned from the model that contains a string representating the FunctionDeclaration.name with the parameters and their values.

FunctionCallPart

A function call part of a conversation with the model.

FunctionDeclaration

Structured representation of a function declaration as defined by the [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a Tool by the model and executed by the client.

FunctionDeclarationSchema

Schema for parameters passed to FunctionDeclaration.parameters.

FunctionDeclarationSchemaProperty

Schema is used to define the format of input/output data. Represents a select subset of an OpenAPI 3.0 schema object. More fields may be added in the future as needed.

FunctionDeclarationsTool

A FunctionDeclarationsTool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.

FunctionResponse

The result output of a FunctionCall that contains a string representing the FunctionDeclaration.name and a structured JSON object containing any output from the function call. It is used as context to the model.

FunctionResponsePart

A function response part of a conversation with the model.

GenerateContentCandidate

A response candidate generated from the model.

GenerateContentRequest

Params used to call the generateContent method.

GenerateContentResponse

Response from the model supporting multiple candidates.

GenerateContentResult

Wrapper for respones from a generateContent request.

GenerationConfig

Configuration options for model generation and outputs.

GenerativeContentBlob

Raw media bytes sent directly in the request. Text should not be sent as raw bytes.

GetGenerativeModelParams

Params used to call the getGenerativeModel method.

GoogleDate

Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following:

A full date, with non-zero year, month, and day values. A month and day, with a zero year (for example, an anniversary). A year on its own, with a zero month and a zero day. A year and month, with a zero day (for example, a credit card expiration date).

Type Aliases

Part

export declare type Part = TextPart | InlineDataPart | FileDataPart | FunctionResponsePart | FunctionCallPart;

A datatype containing media that is part of a multi-part Content message. A Part is a union type of TextPart, InlineDataPart, FileDataPart, and FunctionResponsePart. A Part has one of the following mutually exclusive fields: 1. text 2. inlineData 3. fileData 4. functionResponse

Tool

export declare type Tool = FunctionDeclarationsTool | RetrievalTool | GoogleSearchRetrievalTool;

Defines a tool that model can call to access external knowledge.