package dev.langchain4j.provider; import com.tencent.supersonic.common.pojo.ChatModelConfig; import com.tencent.supersonic.common.pojo.EmbeddingModelConfig; import dev.langchain4j.model.chat.ChatLanguageModel; import dev.langchain4j.model.embedding.EmbeddingModel; import dev.langchain4j.model.openai.OpenAiChatModel; import dev.langchain4j.model.openai.OpenAiEmbeddingModel; import org.springframework.beans.factory.InitializingBean; import org.springframework.stereotype.Service; import java.time.Duration; @Service public class OpenAiModelFactory implements ModelFactory, InitializingBean { public static final String PROVIDER = "OPEN_AI"; public static final String DEFAULT_BASE_URL = "https://api.openai.com/v1"; public static final String DEFAULT_MODEL_NAME = "gpt-3.5-turbo"; public static final String DEFAULT_EMBEDDING_MODEL_NAME = "text-embedding-ada-002"; @Override public ChatLanguageModel createChatModel(ChatModelConfig modelConfig) { return OpenAiChatModel.builder() .baseUrl(modelConfig.getBaseUrl()) .modelName(modelConfig.getModelName()) .apiKey(modelConfig.keyDecrypt()) .temperature(modelConfig.getTemperature()) .topP(modelConfig.getTopP()) .maxRetries(modelConfig.getMaxRetries()) .timeout(Duration.ofSeconds(modelConfig.getTimeOut())) .logRequests(modelConfig.getLogRequests()) .logResponses(modelConfig.getLogResponses()) .build(); } @Override public EmbeddingModel createEmbeddingModel(EmbeddingModelConfig embeddingModel) { return OpenAiEmbeddingModel.builder() .baseUrl(embeddingModel.getBaseUrl()) .apiKey(embeddingModel.getApiKey()) .modelName(embeddingModel.getModelName()) .maxRetries(embeddingModel.getMaxRetries()) .logRequests(embeddingModel.getLogRequests()) .logResponses(embeddingModel.getLogResponses()) .build(); } @Override public void afterPropertiesSet() { ModelProvider.add(PROVIDER, this); } }