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feat: mcp升级依赖

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ageer
2025-04-20 22:52:00 +08:00
parent 9cd97a4dc5
commit 4af26fe4b4
17 changed files with 633 additions and 276 deletions
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88
ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/chat/service/chat/impl/OpenAIServiceImpl.java
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@@ -1,123 +1,57 @@
package org.ruoyi.chat.service.chat.impl;
import cn.hutool.json.JSONUtil;
import io.modelcontextprotocol.client.McpClient;
import io.modelcontextprotocol.client.McpSyncClient;
import io.modelcontextprotocol.client.transport.WebFluxSseClientTransport;
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.*;
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.entity.chat.ChatCompletion;
import org.ruoyi.common.chat.entity.chat.Message;
import org.ruoyi.common.chat.openai.OpenAiStreamClient;
import org.ruoyi.common.chat.request.ChatRequest;
import org.ruoyi.common.core.exception.ServiceException;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.ai.mcp.SyncMcpToolCallbackProvider;
import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.web.reactive.function.client.WebClient;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
@Service
@Slf4j
public class OpenAIServiceImpl implements IChatService {
@Autowired
private OpenAiStreamClient openAiStreamClient;
private final ChatClient chatClient;
private final ChatMemory chatMemory = new InMemoryChatMemory();
public OpenAIServiceImpl(ChatClient.Builder chatClientBuilder, List<McpSyncClient> mcpSyncClients, ToolCallbackProvider tools) {
public OpenAIServiceImpl(ChatClient.Builder chatClientBuilder, List<McpSyncClient> mcpSyncClients) {
this.chatClient = chatClientBuilder
.defaultOptions(
OpenAiChatOptions.builder().model("gpt-4o-mini").build())
.defaultTools(new SyncMcpToolCallbackProvider(mcpSyncClients))
.build();
}
public String webMcpChat(String prompt){
return this.chatClient.prompt(prompt).call().content();
}
@Override
public SseEmitter chat(ChatRequest chatRequest,SseEmitter emitter) {
String toolString = webMcpChat(chatRequest.getPrompt());
String toolString = mcpChat(chatRequest.getPrompt());
Message userMessage = Message.builder().content("工具返回信息："+toolString).role(Message.Role.USER).build();
List<Message> messages = chatRequest.getMessages();
messages.add(userMessage);
SSEEventSourceListener openAIEventSourceListener = new SSEEventSourceListener(emitter);
SSEEventSourceListener listener = new SSEEventSourceListener(emitter);
ChatCompletion completion = ChatCompletion
.builder()
.messages(messages)
.model(chatRequest.getModel())
.stream(true)
.build();
openAiStreamClient.streamChatCompletion(completion, openAIEventSourceListener);
openAiStreamClient.streamChatCompletion(completion, listener);
return emitter;
}
public String mcpChat(ChatRequest chatRequest) {
WebFluxSseClientTransport webFluxSseClientTransport = new WebFluxSseClientTransport(WebClient.builder().baseUrl("http://localhost:8080"));
ChatCompletion completion = ChatCompletion
.builder()
.messages(chatRequest.getMessages())
.model(chatRequest.getModel())
.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();
for (McpSchema.Tool mcpTool : toolsList.tools()) {
McpSchema.JsonSchema jsonSchema = mcpTool.inputSchema();
Parameters parameters = Parameters.builder()
.type(jsonSchema.type())
.properties(jsonSchema.properties())
.required(jsonSchema.required()).build();
Tools tool = Tools.builder()
.type(Tools.Type.FUNCTION.getName())
.function(ToolsFunction.builder().name(mcpTool.name()).description(mcpTool.description()).parameters(parameters).build())
.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));
content= sumResult.content().get(0);
} catch (Exception e) {
throw new ServiceException("请求失败"+e);
}
return content.toString();
public String mcpChat(String prompt){
return this.chatClient.prompt(prompt).call().content();
}
}