package com.ard.agent.config;

import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.client.advisor.SimpleLoggerAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

/**
 * 配置类：基于自动注入的 ChatModel 构建 ChatClient
 */
@Configuration
public class SaaLLMConfig {

    /**
     * 创建一个默认 ChatClient（基于 Spring AI Alibaba DashScope）
     */

    @Bean("dashScopeChatClient")
    public ChatClient dashScopeChatClient(@Qualifier("dashScopeChatModel") ChatModel dashScopeChatModel,
                                          ChatMemory chatMemory) {
        return ChatClient.builder(dashScopeChatModel)
                .defaultAdvisors(
                        MessageChatMemoryAdvisor.builder(chatMemory).build(),
                        SimpleLoggerAdvisor.builder().build())
                .build();
    }

    /**
     * 本地 Ollama ChatClient，保留为离线或本地模型兜底使用。
     */
    @Primary
    @Bean("ollamaChatClient")
    public ChatClient ollamaChatClient(@Qualifier("ollamaChatModel") ChatModel ollamaChatModel, ChatMemory chatMemory) {
        return ChatClient
                .builder(ollamaChatModel)
                .defaultAdvisors(
                        MessageChatMemoryAdvisor.builder(chatMemory).build(),
                        SimpleLoggerAdvisor.builder().build())
                .build();
    }
}