Deprecated API

Contents

• Terminally Deprecated
• Interfaces
• Classes
• Record Classes
• Fields
• Methods
• Constructors
• Enum Constants

Terminally Deprecated Elements

Element	Description
org.springframework.ai.embedding.EmbeddingOptions.EMPTY
org.springframework.ai.minimax.api.MiniMaxApi.ChatModel.ABAB_6_Chat
org.springframework.ai.mistralai.api.MistralAiApi.ChatModel.MEDIUM
org.springframework.ai.mistralai.api.MistralAiApi.ChatModel.MIXTRAL
org.springframework.ai.mistralai.api.MistralAiApi.ChatModel.TINY
org.springframework.ai.model.function.AbstractFunctionCallSupport	since 1.0.0-M1 in favor of AbstractToolCallSupport
org.springframework.ai.model.Media(MimeType, Object)	This constructor is deprecated since version 1.0.0 M1 and will be removed in a future release.
org.springframework.ai.ollama.api.OllamaApi.EmbeddingRequest	Use OllamaApi.EmbeddingsRequest instead.
org.springframework.ai.ollama.api.OllamaApi.EmbeddingResponse	Use OllamaApi.EmbeddingsResponse instead.
org.springframework.ai.ollama.api.OllamaApi.embeddings(OllamaApi.EmbeddingRequest)	Use OllamaApi.embed(EmbeddingsRequest) instead.
org.springframework.ai.ollama.api.OllamaApi.generate(OllamaApi.GenerateRequest)	Use OllamaApi.chat(ChatRequest) instead.
org.springframework.ai.ollama.api.OllamaApi.GenerateRequest
org.springframework.ai.ollama.api.OllamaApi.GenerateResponse
org.springframework.ai.ollama.api.OllamaApi.generateStreaming(OllamaApi.GenerateRequest)	Use OllamaApi.streamingChat(ChatRequest) instead.
org.springframework.ai.openai.api.OpenAiApi.ChatModel.GPT_4_32K
org.springframework.ai.openai.api.OpenAiApi.ChatModel.GPT_4_VISION_PREVIEW
org.springframework.ai.postgresml.PostgresMlEmbeddingModel(JdbcTemplate, String)
org.springframework.ai.postgresml.PostgresMlEmbeddingModel(JdbcTemplate, String, PostgresMlEmbeddingModel.VectorType)	Use the constructor with PostgresMlEmbeddingOptions instead.
org.springframework.ai.postgresml.PostgresMlEmbeddingModel(JdbcTemplate, String, PostgresMlEmbeddingModel.VectorType, Map<String, Object>, MetadataMode)
org.springframework.ai.vectorstore.qdrant.QdrantVectorStore(QdrantClient, QdrantVectorStore.QdrantVectorStoreConfig, EmbeddingModel, boolean)	since 1.0.0 in favor of QdrantVectorStore.
org.springframework.ai.vectorstore.qdrant.QdrantVectorStore.QdrantVectorStoreConfig	since 1.0.0 in favor of QdrantVectorStore.

Deprecated Interfaces

Interface	Description
org.springframework.ai.chat.client.RequestResponseAdvisor	since 1.0.0 M3 please use CallAroundAdvisor or StreamAroundAdvisor instead.
org.springframework.ai.parser.FormatProvider	Use the FormatProvider instead.
org.springframework.ai.parser.OutputParser	Use the StructuredOutputConverter instead.

Deprecated Classes

Class	Description
org.springframework.ai.model.function.AbstractFunctionCallSupport	since 1.0.0-M1 in favor of AbstractToolCallSupport
org.springframework.ai.parser.AbstractConversionServiceOutputParser	Use the AbstractConversionServiceOutputConverter instead. Abstract OutputParser implementation that uses a pre-configured DefaultConversionService to convert the LLM output into the desired type format.
org.springframework.ai.parser.AbstractMessageConverterOutputParser	Use the AbstractMessageOutputConverter instead. Abstract OutputParser implementation that uses a pre-configured MessageConverter to convert the LLM output into the desired type format.
org.springframework.ai.parser.BeanOutputParser	Use the BeanOutputConverter instead. An implementation of OutputParser that transforms the LLM output to a specific object type using JSON schema. This parser works by generating a JSON schema based on a given Java class, which is then used to validate and transform the LLM output into the desired type.
org.springframework.ai.parser.ListOutputParser	Use the ListOutputConverter instead. OutputParser implementation that uses a DefaultConversionService to convert the LLM output into a List instance.
org.springframework.ai.parser.MapOutputParser	Use the MapOutputConverter instead. OutputParser implementation that uses a pre-configured MappingJackson2MessageConverter to convert the LLM output into a java.util.Map<String, Object> instance.
org.springframework.ai.vectorstore.qdrant.QdrantVectorStore.QdrantVectorStoreConfig	since 1.0.0 in favor of QdrantVectorStore.

Deprecated Record Classes

Record Class	Description
org.springframework.ai.ollama.api.OllamaApi.EmbeddingRequest	Use OllamaApi.EmbeddingsRequest instead.
org.springframework.ai.ollama.api.OllamaApi.EmbeddingResponse	Use OllamaApi.EmbeddingsResponse instead.
org.springframework.ai.ollama.api.OllamaApi.GenerateRequest
org.springframework.ai.ollama.api.OllamaApi.GenerateResponse

Deprecated Fields

Field	Description
org.springframework.ai.embedding.EmbeddingOptions.EMPTY
org.springframework.ai.vectorstore.filter.antlr4.FiltersLexer.tokenNames	Use FiltersLexer.VOCABULARY instead.
org.springframework.ai.vectorstore.filter.antlr4.FiltersParser.tokenNames	Use FiltersParser.VOCABULARY instead.

Deprecated Methods

Method	Description
org.springframework.ai.autoconfigure.vectorstore.cassandra.CassandraVectorStoreProperties.getDisallowSchemaCreation()
org.springframework.ai.autoconfigure.vectorstore.cassandra.CassandraVectorStoreProperties.setDisallowSchemaCreation(boolean)
org.springframework.ai.chat.model.Generation.withGenerationMetadata(ChatGenerationMetadata)	Use Generation(AssitantMessage, ChatGenerationMetadata) constructor instead.
org.springframework.ai.converter.StructuredOutputConverter.parse(String)	Use the Converter.convert(Object) instead.
org.springframework.ai.ollama.api.OllamaApi.embeddings(OllamaApi.EmbeddingRequest)	Use OllamaApi.embed(EmbeddingsRequest) instead.
org.springframework.ai.ollama.api.OllamaApi.generate(OllamaApi.GenerateRequest)	Use OllamaApi.chat(ChatRequest) instead.
org.springframework.ai.ollama.api.OllamaApi.generateStreaming(OllamaApi.GenerateRequest)	Use OllamaApi.streamingChat(ChatRequest) instead.
org.springframework.ai.vectorstore.filter.antlr4.FiltersLexer.getTokenNames()
org.springframework.ai.vectorstore.filter.antlr4.FiltersParser.getTokenNames()

Deprecated Constructors

Constructor	Description
org.springframework.ai.chat.model.Generation(String)	Use Generation(AssitantMessage) constructor instead.
org.springframework.ai.chat.model.Generation(String, Map<String, Object>)	Use Generation(AssitantMessage) constructor instead.
org.springframework.ai.evaluation.EvaluationResponse(boolean, float, String, Map<String, Object>)
org.springframework.ai.model.Media(MimeType, Object)	This constructor is deprecated since version 1.0.0 M1 and will be removed in a future release.
org.springframework.ai.postgresml.PostgresMlEmbeddingModel(JdbcTemplate, String)
org.springframework.ai.postgresml.PostgresMlEmbeddingModel(JdbcTemplate, String, PostgresMlEmbeddingModel.VectorType)	Use the constructor with PostgresMlEmbeddingOptions instead.
org.springframework.ai.postgresml.PostgresMlEmbeddingModel(JdbcTemplate, String, PostgresMlEmbeddingModel.VectorType, Map<String, Object>, MetadataMode)
org.springframework.ai.vectorstore.qdrant.QdrantVectorStore(QdrantClient, QdrantVectorStore.QdrantVectorStoreConfig, EmbeddingModel, boolean)	since 1.0.0 in favor of QdrantVectorStore.

Deprecated Enum Constants

Enum Constant	Description
org.springframework.ai.minimax.api.MiniMaxApi.ChatModel.ABAB_6_Chat
org.springframework.ai.mistralai.api.MistralAiApi.ChatModel.MEDIUM
org.springframework.ai.mistralai.api.MistralAiApi.ChatModel.MIXTRAL
org.springframework.ai.mistralai.api.MistralAiApi.ChatModel.TINY
org.springframework.ai.openai.api.OpenAiApi.ChatModel.GPT_4_32K
org.springframework.ai.openai.api.OpenAiApi.ChatModel.GPT_4_VISION_PREVIEW