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FirebaseAILogic Framework Reference

GenerativeModel

@available(iOS 15.0, macOS 12.0, tvOS 15.0, watchOS 8.0, *) public final class GenerativeModel : Sendable

A type that represents a remote multimodal model (like Gemini), with the ability to generate content based on various input types.

  • Generates content from String and/or image inputs, given to the model as a prompt, that are representable as one or more Parts.

    Since Parts do not specify a role, this method is intended for generating content from zero-shot or “direct” prompts. For few-shot prompts, see generateContent(_ content: [ModelContent]).

    Throws

    A GenerateContentError if the request failed.

    Declaration

    Swift

    public func generateContent(_ parts: any PartsRepresentable...) async throws -> GenerateContentResponse

    Parameters

    parts

    The input(s) given to the model as a prompt (see PartsRepresentable for conforming types).

    Return Value

    The content generated by the model.

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

    Throws

    A GenerateContentError if the request failed.

    Declaration

    Swift

    public func generateContent(_ content: [ModelContent]) async throws -> GenerateContentResponse

    Parameters

    content

    The input(s) given to the model as a prompt.

    Return Value

    The generated content response from the model.

  • Generates content from String and/or image inputs, given to the model as a prompt, that are representable as one or more Parts.

    Since Parts do not specify a role, this method is intended for generating content from zero-shot or “direct” prompts. For few-shot prompts, see generateContentStream(_ content: @autoclosure () throws -> [ModelContent]).

    Declaration

    Swift

    @available(macOS 12.0, *) public func generateContentStream(_ parts: any PartsRepresentable...) throws -> AsyncThrowingStream<GenerateContentResponse, Error>

    Parameters

    parts

    The input(s) given to the model as a prompt (see PartsRepresentable for conforming types).

    Return Value

    A stream wrapping content generated by the model or a GenerateContentError error if an error occurred.

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

    Declaration

    Swift

    @available(macOS 12.0, *) public func generateContentStream(_ content: [ModelContent]) throws -> AsyncThrowingStream<GenerateContentResponse, Error>

    Parameters

    content

    The input(s) given to the model as a prompt.

    Return Value

    A stream wrapping content generated by the model or a GenerateContentError error if an error occurred.

  • Creates a new chat conversation using this model with the provided history.

    Declaration

    Swift

    public func startChat(history: [ModelContent] = []) -> Chat

  • Runs the model’s tokenizer on String and/or image inputs that are representable as one or more Parts.

    Since Parts do not specify a role, this method is intended for tokenizing zero-shot or “direct” prompts. For few-shot input, see countTokens(_ content: @autoclosure () throws -> [ModelContent]).

    Declaration

    Swift

    public func countTokens(_ parts: any PartsRepresentable...) async throws -> CountTokensResponse

    Parameters

    parts

    The input(s) given to the model as a prompt (see PartsRepresentable for conforming types).

    Return Value

    The results of running the model’s tokenizer on the input; contains totalTokens.

  • Runs the model’s tokenizer on the input content and returns the token count.

    Declaration

    Swift

    public func countTokens(_ content: [ModelContent]) async throws -> CountTokensResponse

    Parameters

    content

    The input given to the model as a prompt.

    Return Value

    The results of running the model’s tokenizer on the input; contains totalTokens.