MiniMax聊天

spring.ai.minimax.api-key=<your-minimax-api-key>

# In application.yml
spring:
  ai:
    minimax:
      api-key: ${MINIMAX_API_KEY}

# In your environment or .env file
export MINIMAX_API_KEY=<your-minimax-api-key>

// Retrieve API key from a secure source or environment variable
String apiKey = System.getenv("MINIMAX_API_KEY");

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-starter-model-minimax</artifactId>
</dependency>

dependencies {
    implementation 'org.springframework.ai:spring-ai-starter-model-minimax'
}

EmbeddingResponse embeddingResponse = embeddingModel.call(
    new EmbeddingRequest(List.of("Hello World", "World is big and salvation is near"),
        MiniMaxEmbeddingOptions.builder()
            .model("Different-Embedding-Model-Deployment-Name")
        .build()));

spring.ai.minimax.api-key=YOUR_API_KEY
spring.ai.minimax.embedding.options.model=embo-01

@RestController
public class EmbeddingController {

    private final EmbeddingModel embeddingModel;

    @Autowired
    public EmbeddingController(EmbeddingModel embeddingModel) {
        this.embeddingModel = embeddingModel;
    }

    @GetMapping("/ai/embedding")
    public Map embed(@RequestParam(value = "message", defaultValue = "Tell me a joke") String message) {
        EmbeddingResponse embeddingResponse = this.embeddingModel.embedForResponse(List.of(message));
        return Map.of("embedding", embeddingResponse);
    }
}

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-minimax</artifactId>
</dependency>

dependencies {
    implementation 'org.springframework.ai:spring-ai-minimax'
}

var miniMaxApi = new MiniMaxApi(System.getenv("MINIMAX_API_KEY"));

var embeddingModel = new MiniMaxEmbeddingModel(minimaxApi, MetadataMode.EMBED,
MiniMaxEmbeddingOptions.builder().model("embo-01").build());

EmbeddingResponse embeddingResponse = this.embeddingModel
	.embedForResponse(List.of("Hello World", "World is big and salvation is near"));