GenerativeModelFutures

abstract class GenerativeModelFutures

Wrapper class providing Java compatible methods for GenerativeModel.

See also
`GenerativeModel`

Summary

Public companion functions
`GenerativeModelFutures`	`from(model: GenerativeModel)`

Public functions
`abstract ListenableFuture<CountTokensResponse>`	`countTokens(vararg prompt: Content)` Counts the number of tokens in a prompt using the model's tokenizer.
`abstract ListenableFuture<GenerateContentResponse>`	`generateContent(vararg prompt: Content)` Generates new content from the input `Content` given to the model as a prompt.
`abstract Publisher<GenerateContentResponse>`	`generateContentStream(vararg prompt: Content)` Generates new content as a stream from the input `Content` given to the model as a prompt.
`abstract GenerativeModel`	`getGenerativeModel()` Returns the `GenerativeModel` object wrapped by this object.
`abstract ChatFutures`	`startChat()` Creates a `ChatFutures` instance which internally tracks the ongoing conversation with the model.
`abstract ChatFutures`	`startChat(history: List<Content>)` Creates a `ChatFutures` instance, initialized using the optionally provided `history`.

fun from(model: GenerativeModel): GenerativeModelFutures

Returns
`GenerativeModelFutures`	a `GenerativeModelFutures` created around the provided `GenerativeModel`

abstract fun countTokens(vararg prompt: Content): ListenableFuture<CountTokensResponse>

Counts the number of tokens in a prompt using the model's tokenizer.

Parameters
`vararg prompt: Content`	The input(s) given to the model as a prompt.

Returns
`ListenableFuture<CountTokensResponse>`	The `CountTokensResponse` of running the model's tokenizer on the input.

Throws
`com.google.firebase.vertexai.type.FirebaseVertexAIException: com.google.firebase.vertexai.type.FirebaseVertexAIException`	if the request failed.

abstract fun generateContent(vararg prompt: Content): ListenableFuture<GenerateContentResponse>

Generates new content from the input Content given to the model as a prompt.

Parameters
`vararg prompt: Content`	The input(s) given to the model as a prompt.

Returns
`ListenableFuture<GenerateContentResponse>`	The content generated by the model.

Throws
`com.google.firebase.vertexai.type.FirebaseVertexAIException: com.google.firebase.vertexai.type.FirebaseVertexAIException`	if the request failed.

abstract fun generateContentStream(vararg prompt: Content): Publisher<GenerateContentResponse>

Generates new content as a stream from the input Content given to the model as a prompt.

Parameters
`vararg prompt: Content`	The input(s) given to the model as a prompt.

Returns
`Publisher<GenerateContentResponse>`	A `Publisher` which will emit responses as they are returned by the model.

Throws
`com.google.firebase.vertexai.type.FirebaseVertexAIException: com.google.firebase.vertexai.type.FirebaseVertexAIException`	if the request failed.

abstract fun getGenerativeModel(): GenerativeModel

Returns the GenerativeModel object wrapped by this object.

abstract fun startChat(): ChatFutures

Creates a ChatFutures instance which internally tracks the ongoing conversation with the model.

abstract fun startChat(history: List<Content>): ChatFutures

Creates a ChatFutures instance, initialized using the optionally provided history.

Parameters
`history: List<Content>`	A list of previous interactions with the model to use as a starting point