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GitHub - mscheong01/interfAIce: Define an interface, and use LLM as your impleme...

 11 months ago
source link: https://github.com/mscheong01/interfAIce
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interfAIce

AI itself as your implementation

interfAIce_brain_meme.png

interfaice_demo.gif

check out my blog post that introduces interfAIce

Features

  • Automatic AI powered proxy generation for your interfaces
  • Spring Boot integration
  • Java Reactor & Kotlin Coroutines support

Installation & Usage

In your project's build.gradle.kts file, add the following:

  • kotlin
    dependencies {
        implementation("io.github.mscheong01:interfAIce-core:1.0.0")
    }
    
    // This option is currently required for reflection to work
    // Later releases will remove this requirement for Kotlin projects
    tasks.withType<KotlinCompile> {
        this.kotlinOptions {
            freeCompilerArgs = listOf("-Xjsr305=strict")
            javaParameters = true
        }
    }
  • java
    dependencies {
        implementation("io.github.mscheong01:interfAIce-core:1.0.0")
    }
    
    // This option is currently required for reflection to work
    // If all your classes have a no-arg constructor, you can remove this option
    tasks.withType<JavaCompile> {
        options.compilerArgs.add("-parameters")
    }
  • spring boot
    1. add the spring boot starter dependency along with the appropriate java compile -parameter option configuration above
    dependencies {
        implementation("io.github.mscheong01:interfAIce-spring-boot-starter:1.0.0")
    }
    1. add the @EnableInterfaiceProxies annotation to your spring boot application class or any of its configuration classes
    @EnableInterfaiceProxies(
        basePackages = ["io.github.mscheong01.interfaice.examples"]
    )
    @SpringBootApplication
    open class ExampleApplication
    1. specify your OpenAi api key in the application.yml file
    spring:
    interfaice:
      openai:
        api-key: ${OPENAI_API_KEY}
        chat:
          default-model: gpt-3.5-turbo # optional, defaults to gpt-3.5-turbo
    1. add the @OpenAiInterface annotation to your interface
    @OpenAiInterface
    interface ExampleInterface {
        fun greet(name: String): String
    }
    That is it! You can now use your interface as if it was implemented by a real class.
      @RestController
      class ExampleController(
          private val exampleInterface: ExampleInterface
      ) {
          @GetMapping("/greet")
          fun greet(@RequestParam name: String): String {
              return exampleInterface.greet(name)
          }
      }

Snapshot Versions

interfAIce provides snapshot versions that are automatically released when changes are pushed to the main branch. The current snapshot version is the next minor version of the current release version with a -SNAPSHOT suffix. For example, if the current release is 1.2.3, the snapshot version will be 1.3.0-SNAPSHOT.

To use snapshot versions, add the maven snapshot repository to your build configuration

repositories {
    maven {
        url = uri("https://s01.oss.sonatype.org/content/repositories/snapshots/")
    }
}

Contributing

Contributions are welcome! Please see our contributing guidelines for more information.

License

This project is licensed under the Apache 2.0 License.


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