Deprecated API
Contents
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Terminally Deprecated ElementsElementDescriptionPlease use another constructor with a new
ContentRetrieverinstead.Use this instead:.retrievalAugmentor(DefaultRetrievalAugmentor.builder() .contentInjector(DefaultContentInjector.builder() .promptTemplate(promptTemplate) .build()) .build());as of 0.31.0, useDocument.metadata()and thenMetadata.getString(String),Metadata.getInteger(String),Metadata.getLong(String),Metadata.getFloat(String),Metadata.getDouble(String)instead.as of 0.31.0, useMetadata.put(String, String),Metadata.put(String, int),Metadata.put(String, long),Metadata.put(String, float),Metadata.put(String, double)instead.as of 0.31.0, useMetadata.put(String, String),Metadata.put(String, int),Metadata.put(String, long),Metadata.put(String, float),Metadata.put(String, double)instead.as of 0.31.0, useMetadata.toMap()instead.UseMetadata.from(String, String)insteadas of 0.31.0, useMetadata.getString(String),Metadata.getInteger(String),Metadata.getLong(String),Metadata.getFloat(String),Metadata.getDouble(String)instead.UseMetadata.metadata(String, String)insteadUse 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.Use the constructor with suppliers for Tika components if you intend to use this parser for multiple files.UseUserMessage.singleText()orUserMessage.contents()instead.as of 0.31.0, useTextSegment.metadata()and thenMetadata.getString(String),Metadata.getInteger(String),Metadata.getLong(String),Metadata.getFloat(String),Metadata.getDouble(String)instead.UseUtils.isNullOrEmpty(Collection)instead.For JSON output, you can replace `.responseFormat(new ChatCompletionsJsonResponseFormat())` with a `JsonSchema` in the `ResponseFormat`. You can then use `.strictJsonSchema(true)`to force JSON schema adherence.Please useAzureOpenAiStreamingChatModel.Builder.openAIAsyncClient(OpenAIAsyncClient)instead, if you require response streaming. Please useAzureOpenAiChatModelinstead, if you require sync responses.For JSON output, you can replace `.responseFormat(new ChatCompletionsJsonResponseFormat())` with a `JsonSchema` in the `ResponseFormat`. You can then use `.strictJsonSchema(true)`to force JSON schema adherence.If you want to continue using sync client, useAzureOpenAiChatModelinstead.please useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelplease useBedrockChatModelplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadWill be removed in the next release, this functionality will not be supported anymore. Please reach out (via GitHub issues) if you use it.Will be removed in the next release, this functionality will not be supported anymore. Please reach out (via GitHub issues) if you use it.please useBedrockChatModelinsteadplease useBedrockChatModelplease useChatModelErrorContext(Throwable, ChatRequest, ModelProvider, Map)insteadplease useChatModelErrorContext(Throwable, ChatRequest, ModelProvider, Map)insteadplease useChatModelErrorContext(Throwable, ChatRequest, ModelProvider, Map)insteadPartial response will not be available in future versions to simplify the design and implementation. Please reach out if you have any concerns.please useChatModelErrorContext.chatRequest()insteadin favour ofChatRequestplease useChatModelRequestContext(ChatRequest, ModelProvider, Map)insteadplease useChatModelRequestContext(ChatRequest, ModelProvider, Map)insteadplease useChatModelRequestContext(ChatRequest, ModelProvider, Map)insteadplease useChatModelRequestContext.chatRequest()insteadin favour ofChatResponseplease useChatModelResponseContext(ChatResponse, ChatRequest, ModelProvider, Map)insteadplease useChatModelResponseContext(ChatResponse, ChatRequest, ModelProvider, Map)insteadplease useChatModelResponseContext(ChatResponse, ChatRequest, ModelProvider, Map)insteadplease useChatModelResponseContext.chatRequest()insteadplease useChatModelResponseContext.chatResponse()insteadsince it has the misleading side effect of deleting all other properties eventually added so far. UseJsonObjectSchema.Builder.addProperties(Map)instead.Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters.Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters.please useOpenAiChatModel.defaultRequestParameters()and thenChatRequestParameters.modelName()insteadPlease usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!use one of the following enums instead:OpenAiChatModelName,OpenAiEmbeddingModelNameOpenAiImageModelName,OpenAiLanguageModelName,OpenAiModerationModelNamePlease usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!please useOpenAiStreamingChatModel.defaultRequestParameters()and thenChatRequestParameters.modelName()insteadPlease usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!Please use other constructors and specify the model name explicitly.Please usebuilder()instead, and explicitly set the baseUrl and, if necessary, other parameters. The default value for baseUrl will be removed in future releases!useEmbeddingStoreContentRetrieverinstead.Please useContentRetrieverinstead.UseAiServices.contentRetriever(ContentRetriever)(e.g.EmbeddingStoreContentRetriever) instead.
Configures a retriever that will be invoked on every method call to fetch relevant information related to the current user message from an underlying source (e.g., embedding store). This relevant information is automatically injected into the message sent to the LLM.dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.dimension(Integer) dimension is not used anymore.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.
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Deprecated Interfaces
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Deprecated ClassesClassDescriptionplease use
BedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelplease useBedrockChatModelplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadplease useBedrockChatModelplease useBedrockChatModelinsteadWill be removed in the next release, this functionality will not be supported anymore. Please reach out (via GitHub issues) if you use it.Will be removed in the next release, this functionality will not be supported anymore. Please reach out (via GitHub issues) if you use it.please useBedrockChatModelinsteadplease useBedrockChatModelin favour ofChatRequestin favour ofChatResponseuse one of the following enums instead:OpenAiChatModelName,OpenAiEmbeddingModelNameOpenAiImageModelName,OpenAiLanguageModelName,OpenAiModerationModelNameuseEmbeddingStoreContentRetrieverinstead.
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Deprecated MethodsMethodDescriptionUse this instead:
.retrievalAugmentor(DefaultRetrievalAugmentor.builder() .contentInjector(DefaultContentInjector.builder() .promptTemplate(promptTemplate) .build()) .build());as of 0.31.0, useDocument.metadata()and thenMetadata.getString(String),Metadata.getInteger(String),Metadata.getLong(String),Metadata.getFloat(String),Metadata.getDouble(String)instead.as of 0.31.0, useMetadata.put(String, String),Metadata.put(String, int),Metadata.put(String, long),Metadata.put(String, float),Metadata.put(String, double)instead.as of 0.31.0, useMetadata.put(String, String),Metadata.put(String, int),Metadata.put(String, long),Metadata.put(String, float),Metadata.put(String, double)instead.as of 0.31.0, useMetadata.toMap()instead.UseMetadata.from(String, String)insteadas of 0.31.0, useMetadata.getString(String),Metadata.getInteger(String),Metadata.getLong(String),Metadata.getFloat(String),Metadata.getDouble(String)instead.UseMetadata.metadata(String, String)insteadUseUserMessage.singleText()orUserMessage.contents()instead.as of 0.31.0, useTextSegment.metadata()and thenMetadata.getString(String),Metadata.getInteger(String),Metadata.getLong(String),Metadata.getFloat(String),Metadata.getDouble(String)instead.UseUtils.isNullOrEmpty(Collection)instead.For JSON output, you can replace `.responseFormat(new ChatCompletionsJsonResponseFormat())` with a `JsonSchema` in the `ResponseFormat`. You can then use `.strictJsonSchema(true)`to force JSON schema adherence.Please useAzureOpenAiStreamingChatModel.Builder.openAIAsyncClient(OpenAIAsyncClient)instead, if you require response streaming. Please useAzureOpenAiChatModelinstead, if you require sync responses.For JSON output, you can replace `.responseFormat(new ChatCompletionsJsonResponseFormat())` with a `JsonSchema` in the `ResponseFormat`. You can then use `.strictJsonSchema(true)`to force JSON schema adherence.If you want to continue using sync client, useAzureOpenAiChatModelinstead.Partial response will not be available in future versions to simplify the design and implementation. Please reach out if you have any concerns.please useChatModelErrorContext.chatRequest()insteadplease useChatModelRequestContext.chatRequest()insteadplease useChatModelResponseContext.chatRequest()insteadplease useChatModelResponseContext.chatResponse()insteadsince it has the misleading side effect of deleting all other properties eventually added so far. UseJsonObjectSchema.Builder.addProperties(Map)instead.Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters.Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters.Please useOllamaChatModel.OllamaChatModelBuilder.responseFormat(ResponseFormat)instead. For example:responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.Please useOllamaLanguageModel.OllamaLanguageModelBuilder.responseFormat(ResponseFormat)instead. For example:responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.dev.langchain4j.model.ollama.OllamaStreamingChatModel.OllamaStreamingChatModelBuilder.format(String) Please useOllamaStreamingChatModel.OllamaStreamingChatModelBuilder.responseFormat(ResponseFormat)instead. For example:responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.Please useOllamaStreamingLanguageModel.OllamaStreamingLanguageModelBuilder.responseFormat(ResponseFormat)instead. For example:responseFormat(ResponseFormat.JSON).
Instead of using JSON mode, consider using structured outputs with JSON schema instead, see more info here.Functions are deprecated by OpenAI, useInternalOpenAiHelper.toTools(Collection, boolean)insteadplease useOpenAiChatModel.defaultRequestParameters()and thenChatRequestParameters.modelName()insteadPlease usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default value for the model name will be removed in future releases!please useOpenAiStreamingChatModel.defaultRequestParameters()and thenChatRequestParameters.modelName()insteadPlease usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!Please usebuilder()instead, and explicitly set the model name and, if necessary, other parameters. The default values for the model name and temperature will be removed in future releases!Please usebuilder()instead, and explicitly set the baseUrl and, if necessary, other parameters. The default value for baseUrl will be removed in future releases!Use/implementContentInjector.inject(List, ChatMessage)instead.dev.langchain4j.rag.content.injector.DefaultContentInjector.createPrompt(UserMessage, List<Content>) implement/overrideDefaultContentInjector.createPrompt(ChatMessage, List)instead.useDefaultContentInjector.inject(List, ChatMessage)instead.Use/implementRetrievalAugmentor.augment(AugmentationRequest)instead.UseAiServices.contentRetriever(ContentRetriever)(e.g.EmbeddingStoreContentRetriever) instead.
Configures a retriever that will be invoked on every method call to fetch relevant information related to the current user message from an underlying source (e.g., embedding store). This relevant information is automatically injected into the message sent to the LLM.dev.langchain4j.store.embedding.elasticsearch.ElasticsearchEmbeddingStore.Builder.dimension(Integer) dimension is not used anymore.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.as of 0.31.0, useEmbeddingStore.search(EmbeddingSearchRequest)instead.
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Deprecated ConstructorsConstructorDescriptionPlease use another constructor with a new
ContentRetrieverinstead.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.Use the constructor with suppliers for Tika components if you intend to use this parser for multiple files.please useChatModelErrorContext(Throwable, ChatRequest, ModelProvider, Map)insteadplease useChatModelErrorContext(Throwable, ChatRequest, ModelProvider, Map)insteadplease useChatModelErrorContext(Throwable, ChatRequest, ModelProvider, Map)insteadplease useChatModelRequestContext(ChatRequest, ModelProvider, Map)insteadplease useChatModelRequestContext(ChatRequest, ModelProvider, Map)insteadplease useChatModelRequestContext(ChatRequest, ModelProvider, Map)insteadplease useChatModelResponseContext(ChatResponse, ChatRequest, ModelProvider, Map)insteadplease useChatModelResponseContext(ChatResponse, ChatRequest, ModelProvider, Map)insteadplease useChatModelResponseContext(ChatResponse, ChatRequest, ModelProvider, Map)insteadPlease use other constructors and specify the model name explicitly.
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Deprecated Enum Constants