feat: mcp 1.0.0

ageer

2025-04-16 761d954ef136ee6fdff2748dcd81c41c814f933d

 ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/chat/impl/OpenAIServiceImpl.java

@@ -6,16 +6,15 @@
import io.modelcontextprotocol.spec.McpSchema;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.ruoyi.chat.listener.SSEEventSourceListener;
import org.ruoyi.chat.service.chat.IChatService;
import org.ruoyi.common.chat.entity.chat.ChatChoice;
import org.ruoyi.common.chat.entity.chat.ChatCompletion;
import org.ruoyi.common.chat.entity.chat.ChatCompletionResponse;
import org.ruoyi.common.chat.entity.chat.Parameters;
import org.ruoyi.common.chat.entity.chat.*;
import org.ruoyi.common.chat.entity.chat.tool.ToolCallFunction;
import org.ruoyi.common.chat.entity.chat.tool.Tools;
import org.ruoyi.common.chat.entity.chat.tool.ToolsFunction;
import org.ruoyi.common.chat.openai.OpenAiStreamClient;
import org.ruoyi.common.chat.request.ChatRequest;
import org.ruoyi.common.core.exception.ServiceException;
import org.springframework.stereotype.Service;
import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
@@ -33,9 +32,27 @@

    private final OpenAiStreamClient openAiStreamClient;


    @Override
    public SseEmitter chat(ChatRequest chatRequest,SseEmitter emitter) {
        String toolString = mcpChat(chatRequest);

        Message userMessage = Message.builder().content("工具返回信息："+toolString).role(Message.Role.ASSISTANT).build();
        List<Message> messages = chatRequest.getMessages();
        messages.add(userMessage);

        SSEEventSourceListener openAIEventSourceListener = new SSEEventSourceListener(emitter);
        ChatCompletion completion = ChatCompletion
                .builder()
                .messages(messages)
                .model(chatRequest.getModel())
                .stream(true)
                .build();
        openAiStreamClient.streamChatCompletion(completion, openAIEventSourceListener);
        return emitter;

    }

    public String mcpChat(ChatRequest chatRequest) {
        WebFluxSseClientTransport webFluxSseClientTransport = new WebFluxSseClientTransport(WebClient.builder().baseUrl("http://localhost:8080"));
        ChatCompletion completion = ChatCompletion
                .builder()
@@ -44,6 +61,7 @@
                .stream(false)
                .build();
        List<Tools> tools = new ArrayList<>();
        McpSchema.Content content = null;
        try (var client = McpClient.sync(webFluxSseClientTransport).build()) {
            client.initialize();
            McpSchema.ListToolsResult toolsList = client.listTools();
@@ -63,26 +81,17 @@
                        .build();
                tools.add(tool);
            }

            completion.setTools(tools);
            ChatCompletionResponse chatCompletionResponse = openAiStreamClient.chatCompletion(completion);
            String arguments = chatCompletionResponse.getChoices().get(0).getMessage().getToolCalls().get(0).getFunction().getArguments();
            String name = chatCompletionResponse.getChoices().get(0).getMessage().getToolCalls().get(0).getFunction().getName();
            Map<String, Object> map = JSONUtil.toBean(arguments, Map.class);
            McpSchema.CallToolResult sumResult = client.callTool(new McpSchema.CallToolRequest(name, map));
            System.out.println("add a+ b =  " + sumResult.content().get(0));


            McpSchema.Content content = sumResult.content().get(0);

            emitter.send(sumResult.content().get(0));

        } catch (IOException e) {
            emitter.completeWithError(e);
            content= sumResult.content().get(0);
        } catch (Exception e) {
           throw new ServiceException("请求失败"+e);
        }
        emitter.complete();
        return emitter;

        return content.toString();
    }

}