Uses of Class
dev.langchain4j.model.output.Response

Packages that use Response

Package	Description
dev.langchain4j.model
dev.langchain4j.model.anthropic
dev.langchain4j.model.azure
dev.langchain4j.model.bedrock
dev.langchain4j.model.bedrock.internal
dev.langchain4j.model.chat
dev.langchain4j.model.chatglm
dev.langchain4j.model.cohere
dev.langchain4j.model.dashscope
dev.langchain4j.model.embedding
dev.langchain4j.model.github
dev.langchain4j.model.googleai
dev.langchain4j.model.huggingface
dev.langchain4j.model.image
dev.langchain4j.model.jina
dev.langchain4j.model.jlama
dev.langchain4j.model.language
dev.langchain4j.model.localai
dev.langchain4j.model.mistralai
dev.langchain4j.model.moderation
dev.langchain4j.model.nomic
dev.langchain4j.model.ollama
dev.langchain4j.model.openai
dev.langchain4j.model.output
dev.langchain4j.model.ovhai
dev.langchain4j.model.qianfan
dev.langchain4j.model.qianfan.client
dev.langchain4j.model.scoring
dev.langchain4j.model.vertexai
dev.langchain4j.model.voyageai
dev.langchain4j.model.workersai
dev.langchain4j.model.zhipu
dev.langchain4j.service
dev.langchain4j.service.output

Uses of Response in dev.langchain4j.model

Methods in dev.langchain4j.model with parameters of type Response

Modifier and Type	Method	Description
default void	StreamingResponseHandler.onComplete(Response<T> response)	Invoked when the language model has finished streaming a response.

Uses of Response in dev.langchain4j.model.anthropic

Methods in dev.langchain4j.model.anthropic that return Response

Modifier and Type	Method	Description
Response<AiMessage>	AnthropicChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	AnthropicChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)

Uses of Response in dev.langchain4j.model.azure

Methods in dev.langchain4j.model.azure that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	AzureOpenAiEmbeddingModel.embedAll(List<TextSegment> textSegments)	Embeds the provided text segments, processing a maximum of 16 segments at a time.
Response<AiMessage>	AzureOpenAiChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	AzureOpenAiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	AzureOpenAiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<Image>	AzureOpenAiImageModel.generate(String prompt)
Response<String>	AzureOpenAiLanguageModel.generate(String prompt)

Uses of Response in dev.langchain4j.model.bedrock

Methods in dev.langchain4j.model.bedrock that return Response

Modifier and Type	Method	Description
Response<AiMessage>	BedrockAnthropicMessageChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	BedrockAnthropicMessageChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	BedrockAnthropicMessageChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<AiMessage>	BedrockMistralAiChatModel.generate(List<ChatMessage> messages)

Uses of Response in dev.langchain4j.model.bedrock.internal

Methods in dev.langchain4j.model.bedrock.internal that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	AbstractBedrockEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	AbstractBedrockChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	AbstractBedrockChatModel.toAiMessage(T result)

Methods in dev.langchain4j.model.bedrock.internal with parameters of type Response

Modifier and Type	Method	Description
protected ChatModelResponse	AbstractSharedBedrockChatModel.createModelListenerResponse(String responseId, String responseModel, Response<AiMessage> response)

Uses of Response in dev.langchain4j.model.chat

Methods in dev.langchain4j.model.chat that return Response

Modifier and Type	Method	Description
default Response<AiMessage>	ChatLanguageModel.generate(ChatMessage... messages)	Generates a response from the model based on a sequence of messages.
Response<AiMessage>	ChatLanguageModel.generate(List<ChatMessage> messages)	Generates a response from the model based on a sequence of messages.
default Response<AiMessage>	ChatLanguageModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)	Generates a response from the model based on a list of messages and a single tool specification.
default Response<AiMessage>	ChatLanguageModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)	Generates a response from the model based on a list of messages and a list of tool specifications.
Response<AiMessage>	DisabledChatLanguageModel.generate(ChatMessage... messages)
Response<AiMessage>	DisabledChatLanguageModel.generate(List<ChatMessage> messages)
Response<AiMessage>	DisabledChatLanguageModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	DisabledChatLanguageModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)

Uses of Response in dev.langchain4j.model.chatglm

Methods in dev.langchain4j.model.chatglm that return Response

Modifier and Type	Method	Description
Response<AiMessage>	ChatGlmChatModel.generate(List<ChatMessage> messages)

Uses of Response in dev.langchain4j.model.cohere

Methods in dev.langchain4j.model.cohere that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	CohereEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<List<Double>>	CohereScoringModel.scoreAll(List<TextSegment> segments, String query)

Uses of Response in dev.langchain4j.model.dashscope

Methods in dev.langchain4j.model.dashscope that return Response

Modifier and Type	Method	Description
Response<AiMessage>	QwenStreamingResponseBuilder.build()
Response<Image>	WanxImageModel.edit(Image image, String prompt)
Response<List<Embedding>>	QwenEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	QwenChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	QwenChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	QwenChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<String>	QwenLanguageModel.generate(String prompt)
Response<Image>	WanxImageModel.generate(String prompt)
Response<List<Image>>	WanxImageModel.generate(String prompt, int n)

Uses of Response in dev.langchain4j.model.embedding

Methods in dev.langchain4j.model.embedding that return Response

Modifier and Type	Method	Description
Response<Embedding>	DisabledEmbeddingModel.embed(TextSegment textSegment)
Response<Embedding>	DisabledEmbeddingModel.embed(String text)
default Response<Embedding>	EmbeddingModel.embed(TextSegment textSegment)	Embed the text content of a TextSegment.
default Response<Embedding>	EmbeddingModel.embed(String text)	Embed a text.
Response<List<Embedding>>	DisabledEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<List<Embedding>>	EmbeddingModel.embedAll(List<TextSegment> textSegments)	Embeds the text content of a list of TextSegments.

Uses of Response in dev.langchain4j.model.github

Methods in dev.langchain4j.model.github that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	GitHubModelsEmbeddingModel.embedAll(List<TextSegment> textSegments)	Embeds the provided text segments, processing a maximum of 16 segments at a time.
Response<AiMessage>	GitHubModelsChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	GitHubModelsChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	GitHubModelsChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)

Uses of Response in dev.langchain4j.model.googleai

Methods in dev.langchain4j.model.googleai that return Response

Modifier and Type	Method	Description
Response<Embedding>	GoogleAiEmbeddingModel.embed(TextSegment textSegment)
Response<Embedding>	GoogleAiEmbeddingModel.embed(String text)
Response<List<Embedding>>	GoogleAiEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	GoogleAiGeminiChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	GoogleAiGeminiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	GoogleAiGeminiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)

Uses of Response in dev.langchain4j.model.huggingface

Methods in dev.langchain4j.model.huggingface that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	HuggingFaceEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	HuggingFaceChatModel.generate(List<ChatMessage> messages)
Response<String>	HuggingFaceLanguageModel.generate(String prompt)

Uses of Response in dev.langchain4j.model.image

Methods in dev.langchain4j.model.image that return Response

Modifier and Type	Method	Description
Response<Image>	DisabledImageModel.edit(Image image, Image mask, String prompt)
Response<Image>	DisabledImageModel.edit(Image image, String prompt)
default Response<Image>	ImageModel.edit(Image image, Image mask, String prompt)	Given an existing image, edit this image following the given prompt and apply the changes only to the part of the image specified by the given mask.
default Response<Image>	ImageModel.edit(Image image, String prompt)	Given an existing image, edit this image following the given prompt.
Response<Image>	DisabledImageModel.generate(String prompt)
Response<List<Image>>	DisabledImageModel.generate(String prompt, int n)
Response<Image>	ImageModel.generate(String prompt)	Given a prompt, generate an image.
default Response<List<Image>>	ImageModel.generate(String prompt, int n)	Given a prompt, generate n images.

Uses of Response in dev.langchain4j.model.jina

Methods in dev.langchain4j.model.jina that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	JinaEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<List<Double>>	JinaScoringModel.scoreAll(List<TextSegment> segments, String query)

Uses of Response in dev.langchain4j.model.jlama

Methods in dev.langchain4j.model.jlama that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	JlamaEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	JlamaChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	JlamaChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	JlamaChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<String>	JlamaLanguageModel.generate(String prompt)

Uses of Response in dev.langchain4j.model.language

Methods in dev.langchain4j.model.language that return Response

Modifier and Type	Method	Description
Response<String>	DisabledLanguageModel.generate(Prompt prompt)
Response<String>	DisabledLanguageModel.generate(String prompt)
default Response<String>	LanguageModel.generate(Prompt prompt)	Generate a response to the given prompt.
Response<String>	LanguageModel.generate(String prompt)	Generate a response to the given prompt.

Uses of Response in dev.langchain4j.model.localai

Methods in dev.langchain4j.model.localai that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	LocalAiEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	LocalAiChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	LocalAiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	LocalAiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<String>	LocalAiLanguageModel.generate(String prompt)

Uses of Response in dev.langchain4j.model.mistralai

Methods in dev.langchain4j.model.mistralai that return Response

Modifier and Type	Method	Description
Response<List<MistralAiModelCard>>	MistralAiModels.availableModels()	Retrieves the list of all available models.
Response<List<Embedding>>	MistralAiEmbeddingModel.embedAll(List<TextSegment> textSegments)	Embeds a list of text segments using the Mistral AI embedding model.
Response<AiMessage>	MistralAiChatModel.generate(List<ChatMessage> messages)	Generates chat response based on the given list of messages.
Response<AiMessage>	MistralAiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)	Generates an AI message response based on the given list of chat messages and a tool specification.
Response<AiMessage>	MistralAiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)	Generates an AI message response based on the given list of chat messages and tool specifications.
Response<Moderation>	MistralAiModerationModel.moderate(String text)
Response<Moderation>	MistralAiModerationModel.moderate(List<ChatMessage> messages)

Uses of Response in dev.langchain4j.model.moderation

Methods in dev.langchain4j.model.moderation that return Response

Modifier and Type	Method	Description
Response<Moderation>	DisabledModerationModel.moderate(ChatMessage message)
Response<Moderation>	DisabledModerationModel.moderate(TextSegment textSegment)
Response<Moderation>	DisabledModerationModel.moderate(Prompt prompt)
Response<Moderation>	DisabledModerationModel.moderate(String text)
Response<Moderation>	DisabledModerationModel.moderate(List<ChatMessage> messages)
default Response<Moderation>	ModerationModel.moderate(ChatMessage message)	Moderates the given chat message.
default Response<Moderation>	ModerationModel.moderate(TextSegment textSegment)	Moderates the given text segment.
default Response<Moderation>	ModerationModel.moderate(Prompt prompt)	Moderates the given prompt.
Response<Moderation>	ModerationModel.moderate(String text)	Moderates the given text.
Response<Moderation>	ModerationModel.moderate(List<ChatMessage> messages)	Moderates the given list of chat messages.

Uses of Response in dev.langchain4j.model.nomic

Methods in dev.langchain4j.model.nomic that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	NomicEmbeddingModel.embedAll(List<TextSegment> textSegments)

Uses of Response in dev.langchain4j.model.ollama

Methods in dev.langchain4j.model.ollama that return Response

Modifier and Type	Method	Description
Response<List<OllamaModel>>	OllamaModels.availableModels()
Response<List<Embedding>>	OllamaEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	OllamaChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	OllamaChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<String>	OllamaLanguageModel.generate(String prompt)
Response<OllamaModelCard>	OllamaModels.modelCard(OllamaModel ollamaModel)
Response<OllamaModelCard>	OllamaModels.modelCard(String modelName)
Response<List<RunningOllamaModel>>	OllamaModels.runningModels()

Uses of Response in dev.langchain4j.model.openai

Methods in dev.langchain4j.model.openai that return Response

Modifier and Type	Method	Description
Response<AiMessage>	OpenAiStreamingResponseBuilder.build()
Response<List<Embedding>>	OpenAiEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	OpenAiChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	OpenAiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	OpenAiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<Image>	OpenAiImageModel.generate(String prompt)
Response<List<Image>>	OpenAiImageModel.generate(String prompt, int n)
Response<String>	OpenAiLanguageModel.generate(String prompt)
Response<Moderation>	OpenAiModerationModel.moderate(String text)
Response<Moderation>	OpenAiModerationModel.moderate(List<ChatMessage> messages)

Uses of Response in dev.langchain4j.model.output

Methods in dev.langchain4j.model.output that return Response

Modifier and Type	Method	Description
static <T> Response<T>	Response.from(T content)	Create a new Response.
static <T> Response<T>	Response.from(T content, TokenUsage tokenUsage)	Create a new Response.
static <T> Response<T>	Response.from(T content, TokenUsage tokenUsage, FinishReason finishReason)	Create a new Response.
static <T> Response<T>	Response.from(T content, TokenUsage tokenUsage, FinishReason finishReason, Map<String,Object> metadata)	Create a new Response.

Uses of Response in dev.langchain4j.model.ovhai

Methods in dev.langchain4j.model.ovhai that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	OvhAiEmbeddingModel.embedAll(List<TextSegment> textSegments)

Uses of Response in dev.langchain4j.model.qianfan

Methods in dev.langchain4j.model.qianfan that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	QianfanEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	QianfanChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	QianfanChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	QianfanChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<String>	QianfanLanguageModel.generate(String prompt)

Uses of Response in dev.langchain4j.model.qianfan.client

Methods in dev.langchain4j.model.qianfan.client that return Response

Modifier and Type	Method	Description
Response<AiMessage>	QianfanStreamingResponseBuilder.build()
Response<String>	QianfanStreamingResponseBuilder.build(Tokenizer tokenizer)
Response<AiMessage>	QianfanStreamingResponseBuilder.build(Tokenizer tokenizer, boolean forcefulToolExecution)

Uses of Response in dev.langchain4j.model.scoring

Methods in dev.langchain4j.model.scoring that return Response

Modifier and Type	Method	Description
default Response<Double>	ScoringModel.score(TextSegment segment, String query)	Scores a given TextSegment against a given query.
default Response<Double>	ScoringModel.score(String text, String query)	Scores a given text against a given query.
Response<List<Double>>	ScoringModel.scoreAll(List<TextSegment> segments, String query)	Scores all provided TextSegments against a given query.

Uses of Response in dev.langchain4j.model.vertexai

Methods in dev.langchain4j.model.vertexai that return Response

Modifier and Type	Method	Description
Response<Image>	VertexAiImageModel.edit(Image image, Image mask, String prompt)
Response<Image>	VertexAiImageModel.edit(Image image, String prompt)
Response<List<Embedding>>	VertexAiEmbeddingModel.embedAll(List<TextSegment> segments)
Response<AiMessage>	VertexAiChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	VertexAiGeminiChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	VertexAiGeminiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	VertexAiGeminiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<Image>	VertexAiImageModel.generate(String prompt)
Response<List<Image>>	VertexAiImageModel.generate(String prompt, int n)
Response<String>	VertexAiLanguageModel.generate(String prompt)
Response<List<Double>>	VertexAiScoringModel.scoreAll(List<TextSegment> segments, String query)	Scores all provided TextSegments against a given query.

Uses of Response in dev.langchain4j.model.voyageai

Methods in dev.langchain4j.model.voyageai that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	VoyageAiEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<List<Double>>	VoyageAiScoringModel.scoreAll(List<TextSegment> segments, String query)

Uses of Response in dev.langchain4j.model.workersai

Methods in dev.langchain4j.model.workersai that return Response

Modifier and Type	Method	Description
Response<Image>	WorkersAiImageModel.edit(Image image, Image mask, String prompt)	Given an existing image, edit this image following the given prompt and apply the changes only to the part of the image specified by the given mask.
Response<Image>	WorkersAiImageModel.edit(Image image, String prompt)	Given an existing image, edit this image following the given prompt.
Response<Embedding>	WorkersAiEmbeddingModel.embed(TextSegment textSegment)	Embed the text content of a TextSegment.
Response<Embedding>	WorkersAiEmbeddingModel.embed(String text)	Embed a text.
Response<List<Embedding>>	WorkersAiEmbeddingModel.embedAll(List<TextSegment> textSegments)	Embeds the text content of a list of TextSegments.
Response<AiMessage>	WorkersAiChatModel.generate(@NonNull ChatMessage... messages)	Generates a response from the model based on a sequence of messages.
Response<AiMessage>	WorkersAiChatModel.generate(List<ChatMessage> messages)	Generates a response from the model based on a sequence of messages.
Response<AiMessage>	WorkersAiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)	Generates a response from the model based on a list of messages and a single tool specification.
Response<AiMessage>	WorkersAiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)	Generates a response from the model based on a list of messages and a list of tool specifications.
Response<Image>	WorkersAiImageModel.generate(String prompt)	Given a prompt, generate an image.
Response<File>	WorkersAiImageModel.generate(String prompt, String destinationFile)	Generate image and save to file.
Response<String>	WorkersAiLanguageModel.generate(Prompt prompt)	Generate a response to the given prompt.
Response<String>	WorkersAiLanguageModel.generate(String prompt)	Generate a response to the given prompt.

Uses of Response in dev.langchain4j.model.zhipu

Methods in dev.langchain4j.model.zhipu that return Response

Modifier and Type	Method	Description
Response<List<Embedding>>	ZhipuAiEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<AiMessage>	ZhipuAiChatModel.generate(List<ChatMessage> messages)
Response<AiMessage>	ZhipuAiChatModel.generate(List<ChatMessage> messages, ToolSpecification toolSpecification)
Response<AiMessage>	ZhipuAiChatModel.generate(List<ChatMessage> messages, List<ToolSpecification> toolSpecifications)
Response<Image>	ZhipuAiImageModel.generate(String prompt)

Uses of Response in dev.langchain4j.service

Method parameters in dev.langchain4j.service with type arguments of type Response

Modifier and Type	Method	Description
TokenStream	AiServiceTokenStream.onComplete(Consumer<Response<AiMessage>> completionHandler)
TokenStream	TokenStream.onComplete(Consumer<Response<AiMessage>> completionHandler)	The provided consumer will be invoked when a language model finishes streaming a response.

Uses of Response in dev.langchain4j.service.output

Methods in dev.langchain4j.service.output with parameters of type Response

Modifier and Type	Method	Description
Object	ServiceOutputParser.parse(Response<AiMessage> response, Type returnType)