Deprecated API

Contents

• Terminally Deprecated
• Classes
• Methods
• Constructors
• Enum Constants

Terminally Deprecated Elements

Element	Description
dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser(Supplier<Parser>, Supplier<ContentHandler>, Supplier<Metadata>, Supplier<ParseContext>)	Use the constructor with suppliers for Tika components if you intend to use this parser for multiple files and specify whether to include metadata or not.
dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser(Parser, ContentHandler, Metadata, ParseContext)	Use the constructor with suppliers for Tika components if you intend to use this parser for multiple files.
dev.langchain4j.model.cohere.CohereEmbeddingModel.withApiKey(String)	Please use builder() instead, and explicitly set the model name and, if necessary, other parameters.
dev.langchain4j.model.cohere.CohereScoringModel.withApiKey(String)	Please use builder() instead, and explicitly set the model name and, if necessary, other parameters.
dev.langchain4j.model.googleai.GoogleAiEmbeddingModel(String, String, Integer, GoogleAiEmbeddingModel.TaskType, String, Integer, Duration, Boolean)	please use GoogleAiEmbeddingModel(GoogleAiEmbeddingModelBuilder) instead
dev.langchain4j.model.googleai.GoogleAiGeminiChatModel(String, String, Integer, Double, Integer, Integer, Double, Integer, Duration, ResponseFormat, List<String>, GeminiFunctionCallingConfig, Boolean, Boolean, Boolean, List<GeminiSafetySetting>, List<ChatModelListener>)	please use GoogleAiGeminiChatModel(GoogleAiGeminiChatModelBuilder) instead
dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel(String, String, Double, Integer, Double, Integer, Integer, Duration, ResponseFormat, List<String>, GeminiFunctionCallingConfig, Boolean, Boolean, Boolean, List<GeminiSafetySetting>, List<ChatModelListener>, Integer)	please use GoogleAiGeminiStreamingChatModel(GoogleAiGeminiStreamingChatModelBuilder) instead
dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel.GoogleAiGeminiStreamingChatModelBuilder.maxRetries(Integer)	retries are not supported for streaming model
dev.langchain4j.model.mistralai.MistralAiChatModel(HttpClientBuilder, String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Duration, Boolean, Boolean, Integer, Set<Capability>)	Please use MistralAiChatModel.builder() instead.
dev.langchain4j.model.mistralai.MistralAiChatModel(String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Duration, Boolean, Boolean, Integer, Set<Capability>)	Please use MistralAiChatModel.builder() instead.
dev.langchain4j.model.mistralai.MistralAiEmbeddingModel(HttpClientBuilder, String, String, String, Duration, Boolean, Boolean, Integer)	please use MistralAiEmbeddingModel(MistralAiEmbeddingModelBuilder) instead
dev.langchain4j.model.mistralai.MistralAiEmbeddingModel(String, String, String, Duration, Boolean, Boolean, Integer)	Please use MistralAiEmbeddingModel(MistralAiEmbeddingModelBuilder) instead.
dev.langchain4j.model.mistralai.MistralAiModels(String, String, Duration, Boolean, Boolean, Integer)	please use MistralAiModels(MistralAiModelsBuilder) instead
dev.langchain4j.model.mistralai.MistralAiModerationModel(HttpClientBuilder, String, String, Duration, Integer, String, Boolean, Boolean)	please use MistralAiModerationModel(Builder) instead
dev.langchain4j.model.mistralai.MistralAiModerationModel(String, String, Duration, Integer, String, Boolean, Boolean)	please use MistralAiModerationModel(Builder) instead
dev.langchain4j.model.mistralai.MistralAiStreamingChatModel(HttpClientBuilder, String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Boolean, Boolean, Duration, Set<Capability>)	please use MistralAiStreamingChatModel.builder() instead
dev.langchain4j.model.mistralai.MistralAiStreamingChatModel(String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Boolean, Boolean, Duration, Set<Capability>)	please use MistralAiStreamingChatModel(MistralAiStreamingChatModelBuilder) instead
dev.langchain4j.model.ovhai.OvhAiEmbeddingModel.withApiKey(String)	Please use builder() instead, and explicitly set the baseUrl and, if necessary, other parameters. The default value for baseUrl will be removed in future releases!
dev.langchain4j.model.vertexai.gemini.VertexAiGeminiChatModel(String, String, String, Float, Integer, Integer, Float, Integer, Integer, String, Schema, Map<HarmCategory, SafetyThreshold>, Boolean, String, ToolCallingMode, List<String>, Boolean, Boolean, List<ChatModelListener>, Set<Capability>)	please use VertexAiGeminiChatModel(VertexAiGeminiChatModelBuilder) instead
dev.langchain4j.model.vertexai.gemini.VertexAiGeminiStreamingChatModel(String, String, String, Float, Integer, Integer, Float, String, Schema, Map<HarmCategory, SafetyThreshold>, Boolean, String, ToolCallingMode, List<String>, Boolean, Boolean, List<ChatModelListener>, Map<String, String>)	please use VertexAiGeminiStreamingChatModel(VertexAiGeminiStreamingChatModelBuilder) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore(ElasticsearchConfiguration, String, String, String, String, String)	by ElasticsearchEmbeddingStore(ElasticsearchConfiguration, RestClient, String)
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore(ElasticsearchConfiguration, String, String, String, String, String, Integer)	by ElasticsearchEmbeddingStore(ElasticsearchConfiguration, RestClient, String)
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.apiKey(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.dimension(Integer)	dimension is not used anymore.
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.password(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.serverUrl(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.userName(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder.environment(String)	Please use PineconeEmbeddingStore.Builder.createIndex(PineconeIndexConfig)
dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder.projectId(String)	Please use PineconeEmbeddingStore.Builder.createIndex(PineconeIndexConfig)

Deprecated Classes

Class	Description
dev.langchain4j.model.openai.internal.chat.FunctionMessage

Deprecated Methods

Method	Description
dev.langchain4j.model.cohere.CohereEmbeddingModel.withApiKey(String)	Please use builder() instead, and explicitly set the model name and, if necessary, other parameters.
dev.langchain4j.model.cohere.CohereScoringModel.withApiKey(String)	Please use builder() instead, and explicitly set the model name and, if necessary, other parameters.
dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel.GoogleAiGeminiStreamingChatModelBuilder.maxRetries(Integer)	retries are not supported for streaming model
dev.langchain4j.model.openai.internal.chat.AssistantMessage.Builder.functionCall(FunctionCall)
dev.langchain4j.model.openai.internal.chat.AssistantMessage.functionCall()
dev.langchain4j.model.openai.internal.chat.ChatCompletionRequest.Builder.functionCall(FunctionCall)
dev.langchain4j.model.openai.internal.chat.ChatCompletionRequest.Builder.functionCall(String)
dev.langchain4j.model.openai.internal.chat.ChatCompletionRequest.Builder.functions(Function...)
dev.langchain4j.model.openai.internal.chat.ChatCompletionRequest.Builder.functions(List<Function>)
dev.langchain4j.model.openai.internal.chat.ChatCompletionRequest.functionCall()
dev.langchain4j.model.openai.internal.chat.ChatCompletionRequest.functions()
dev.langchain4j.model.openai.internal.chat.Delta.Builder.functionCall(FunctionCall)
dev.langchain4j.model.openai.internal.chat.Delta.functionCall()
dev.langchain4j.model.openai.internal.chat.FunctionMessage.builder()
dev.langchain4j.model.openai.internal.chat.FunctionMessage.from(String, String)
dev.langchain4j.model.openai.internal.OpenAiUtils.toFunctions(Collection<ToolSpecification>)	Functions are deprecated by OpenAI, use OpenAiUtils.toTools(Collection, boolean) instead
dev.langchain4j.model.ovhai.OvhAiEmbeddingModel.withApiKey(String)	Please use builder() instead, and explicitly set the baseUrl and, if necessary, other parameters. The default value for baseUrl will be removed in future releases!
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.apiKey(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.dimension(Integer)	dimension is not used anymore.
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.password(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.serverUrl(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.userName(String)	call ElasticsearchEmbeddingStore.Builder.restClient(RestClient) instead
dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder.environment(String)	Please use PineconeEmbeddingStore.Builder.createIndex(PineconeIndexConfig)
dev.langchain4j.store.embedding.pinecone.PineconeEmbeddingStore.Builder.projectId(String)	Please use PineconeEmbeddingStore.Builder.createIndex(PineconeIndexConfig)

Deprecated Constructors

Constructor	Description
dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser(Supplier<Parser>, Supplier<ContentHandler>, Supplier<Metadata>, Supplier<ParseContext>)	Use the constructor with suppliers for Tika components if you intend to use this parser for multiple files and specify whether to include metadata or not.
dev.langchain4j.data.document.parser.apache.tika.ApacheTikaDocumentParser(Parser, ContentHandler, Metadata, ParseContext)	Use the constructor with suppliers for Tika components if you intend to use this parser for multiple files.
dev.langchain4j.model.googleai.GoogleAiEmbeddingModel(String, String, Integer, GoogleAiEmbeddingModel.TaskType, String, Integer, Duration, Boolean)	please use GoogleAiEmbeddingModel(GoogleAiEmbeddingModelBuilder) instead
dev.langchain4j.model.googleai.GoogleAiGeminiChatModel(String, String, Integer, Double, Integer, Integer, Double, Integer, Duration, ResponseFormat, List<String>, GeminiFunctionCallingConfig, Boolean, Boolean, Boolean, List<GeminiSafetySetting>, List<ChatModelListener>)	please use GoogleAiGeminiChatModel(GoogleAiGeminiChatModelBuilder) instead
dev.langchain4j.model.googleai.GoogleAiGeminiStreamingChatModel(String, String, Double, Integer, Double, Integer, Integer, Duration, ResponseFormat, List<String>, GeminiFunctionCallingConfig, Boolean, Boolean, Boolean, List<GeminiSafetySetting>, List<ChatModelListener>, Integer)	please use GoogleAiGeminiStreamingChatModel(GoogleAiGeminiStreamingChatModelBuilder) instead
dev.langchain4j.model.mistralai.MistralAiChatModel(HttpClientBuilder, String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Duration, Boolean, Boolean, Integer, Set<Capability>)	Please use MistralAiChatModel.builder() instead.
dev.langchain4j.model.mistralai.MistralAiChatModel(String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Duration, Boolean, Boolean, Integer, Set<Capability>)	Please use MistralAiChatModel.builder() instead.
dev.langchain4j.model.mistralai.MistralAiEmbeddingModel(HttpClientBuilder, String, String, String, Duration, Boolean, Boolean, Integer)	please use MistralAiEmbeddingModel(MistralAiEmbeddingModelBuilder) instead
dev.langchain4j.model.mistralai.MistralAiEmbeddingModel(String, String, String, Duration, Boolean, Boolean, Integer)	Please use MistralAiEmbeddingModel(MistralAiEmbeddingModelBuilder) instead.
dev.langchain4j.model.mistralai.MistralAiModels(String, String, Duration, Boolean, Boolean, Integer)	please use MistralAiModels(MistralAiModelsBuilder) instead
dev.langchain4j.model.mistralai.MistralAiModerationModel(HttpClientBuilder, String, String, Duration, Integer, String, Boolean, Boolean)	please use MistralAiModerationModel(Builder) instead
dev.langchain4j.model.mistralai.MistralAiModerationModel(String, String, Duration, Integer, String, Boolean, Boolean)	please use MistralAiModerationModel(Builder) instead
dev.langchain4j.model.mistralai.MistralAiStreamingChatModel(HttpClientBuilder, String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Boolean, Boolean, Duration, Set<Capability>)	please use MistralAiStreamingChatModel.builder() instead
dev.langchain4j.model.mistralai.MistralAiStreamingChatModel(String, String, String, Double, Double, Integer, Boolean, Integer, ResponseFormat, Boolean, Boolean, Duration, Set<Capability>)	please use MistralAiStreamingChatModel(MistralAiStreamingChatModelBuilder) instead
dev.langchain4j.model.vertexai.gemini.VertexAiGeminiChatModel(String, String, String, Float, Integer, Integer, Float, Integer, Integer, String, Schema, Map<HarmCategory, SafetyThreshold>, Boolean, String, ToolCallingMode, List<String>, Boolean, Boolean, List<ChatModelListener>, Set<Capability>)	please use VertexAiGeminiChatModel(VertexAiGeminiChatModelBuilder) instead
dev.langchain4j.model.vertexai.gemini.VertexAiGeminiStreamingChatModel(String, String, String, Float, Integer, Integer, Float, String, Schema, Map<HarmCategory, SafetyThreshold>, Boolean, String, ToolCallingMode, List<String>, Boolean, Boolean, List<ChatModelListener>, Map<String, String>)	please use VertexAiGeminiStreamingChatModel(VertexAiGeminiStreamingChatModelBuilder) instead
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore(ElasticsearchConfiguration, String, String, String, String, String)	by ElasticsearchEmbeddingStore(ElasticsearchConfiguration, RestClient, String)
dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore(ElasticsearchConfiguration, String, String, String, String, String, Integer)	by ElasticsearchEmbeddingStore(ElasticsearchConfiguration, RestClient, String)

Deprecated Enum Constants

Enum Constant	Description
dev.langchain4j.model.openai.internal.chat.Role.FUNCTION