package org.ruoyi.chat.service.chat.impl;
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import io.modelcontextprotocol.client.McpSyncClient;
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import lombok.extern.slf4j.Slf4j;
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import org.ruoyi.chat.listener.SSEEventSourceListener;
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import org.ruoyi.chat.service.chat.IChatService;
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import org.ruoyi.common.chat.entity.chat.ChatCompletion;
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import org.ruoyi.common.chat.entity.chat.Message;
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import org.ruoyi.common.chat.openai.OpenAiStreamClient;
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import org.ruoyi.common.chat.request.ChatRequest;
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import org.springframework.ai.chat.client.ChatClient;
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import org.springframework.ai.mcp.SyncMcpToolCallbackProvider;
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import org.springframework.ai.openai.OpenAiChatOptions;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
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import java.util.List;
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@Service
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@Slf4j
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public class OpenAIServiceImpl implements IChatService {
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@Autowired
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private OpenAiStreamClient openAiStreamClient;
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private final ChatClient chatClient;
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public OpenAIServiceImpl(ChatClient.Builder chatClientBuilder, List<McpSyncClient> mcpSyncClients) {
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this.chatClient = chatClientBuilder
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.defaultOptions(
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OpenAiChatOptions.builder().model("gpt-4o-mini").build())
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.defaultTools(new SyncMcpToolCallbackProvider(mcpSyncClients))
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.build();
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}
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@Override
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public SseEmitter chat(ChatRequest chatRequest,SseEmitter emitter) {
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String toolString = mcpChat(chatRequest.getPrompt());
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Message userMessage = Message.builder().content("工具返回信息："+toolString).role(Message.Role.USER).build();
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List<Message> messages = chatRequest.getMessages();
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messages.add(userMessage);
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SSEEventSourceListener listener = new SSEEventSourceListener(emitter);
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ChatCompletion completion = ChatCompletion
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.builder()
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.messages(messages)
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.model(chatRequest.getModel())
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.stream(true)
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.build();
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openAiStreamClient.streamChatCompletion(completion, listener);
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return emitter;
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}
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public String mcpChat(String prompt){
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return this.chatClient.prompt(prompt).call().content();
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}
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}
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