llm4s-docs/org.llm4s/org.llm4s.springai/Llm4sSpringAiAutoConfiguration

Llm4sSpringAiAutoConfiguration

org.llm4s.springai.Llm4sSpringAiAutoConfiguration

@Experimental @AutoConfiguration(value = _, before = _, beforeName = _, after = _, afterName = scala.Array.apply[java.lang.String]("org.llm4s.spring.Llm4sAutoConfiguration")(scala.reflect.ClassTag.apply[java.lang.String](classOf[java.lang.String]))) @ConditionalOnClass(value = _, name = scala.Array.apply[java.lang.String]("org.springframework.ai.chat.model.ChatModel")(scala.reflect.ClassTag.apply[java.lang.String](classOf[java.lang.String])))

class Llm4sSpringAiAutoConfiguration

Exposes the llm4s client as a Spring AI ChatModel bean (#2278): when Spring AI is on the classpath and the context has a JLlmClient - the one the llm4s Spring Boot starter configures from llm4s.*, or the application's own - and no ChatModel bean yet. A ChatClient built from that model then answers through llm4s. An application that defines its own ChatModel keeps it.

Attributes

Source: Llm4sSpringAiAutoConfiguration.scala
Graph
Supertypes: class Object

trait Matchable

class Any

Members list

Value members

Concrete methods

@Bean(value = _, name = _, autowireCandidate = _, defaultCandidate = _, bootstrap = _, initMethod = _, destroyMethod = _) @ConditionalOnBean(value = scala.Array.apply[java.lang.Class[_ >: scala.Nothing <: . ]](scala.Predef.classOf[org.llm4s.javaapi.JLlmClient])(scala.reflect.ClassTag.apply[java.lang.Class[_ >: scala.Nothing <: . ]](classOf[java.lang.Class])), type = _, annotation = _, name = _, search = _, parameterizedContainer = _) @ConditionalOnMissingBean(value = scala.Array.apply[java.lang.Class[_ >: scala.Nothing <: . ]](scala.Predef.classOf[org.springframework.ai.chat.model.ChatModel])(scala.reflect.ClassTag.apply[java.lang.Class[_ >: scala.Nothing <: . ]](classOf[java.lang.Class])), type = _, ignored = _, ignoredType = _, annotation = _, name = _, search = _, parameterizedContainer = _)

Attributes

Source: Llm4sSpringAiAutoConfiguration.scala

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