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https://gitcode.com/ageerle/ruoyi-ai.git
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feat: mcp 测试版本
This commit is contained in:
@@ -0,0 +1,26 @@
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package org.ruoyi.chat.enums;
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import lombok.Getter;
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@Getter
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public enum ChatModeType {
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OLLAMA("ollama", "本地部署模型"), // token扣费
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CHAT("chat", "中转模型"), // 次数扣费
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VECTOR("vector", "知识库向量模型"); // 次数扣费
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private final String code;
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private final String description;
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ChatModeType(String code, String description) {
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this.code = code;
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this.description = description;
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}
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public String getCode() {
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return code;
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}
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public String getDescription() {
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return description;
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}
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}
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@@ -2,39 +2,29 @@ package org.ruoyi.chat.service.chat.impl;
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import cn.dev33.satoken.stp.StpUtil;
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import cn.dev33.satoken.stp.StpUtil;
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import cn.hutool.core.collection.CollectionUtil;
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import cn.hutool.core.collection.CollectionUtil;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.google.protobuf.ServiceException;
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import com.google.protobuf.ServiceException;
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import com.zhipu.oapi.ClientV4;
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import com.zhipu.oapi.service.v4.tools.*;
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import jakarta.servlet.http.HttpServletRequest;
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import jakarta.servlet.http.HttpServletRequest;
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import lombok.RequiredArgsConstructor;
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import lombok.RequiredArgsConstructor;
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import lombok.extern.slf4j.Slf4j;
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import lombok.extern.slf4j.Slf4j;
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import okhttp3.*;
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import okhttp3.ResponseBody;
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import org.ruoyi.chat.enums.ChatModeType;
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import org.ruoyi.chat.config.ChatConfig;
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import org.ruoyi.chat.listener.SSEEventSourceListener;
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import org.ruoyi.chat.service.chat.IChatCostService;
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import org.ruoyi.chat.service.chat.IChatCostService;
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import org.ruoyi.chat.service.chat.IChatService;
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import org.ruoyi.chat.service.chat.ISseService;
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import org.ruoyi.chat.service.chat.ISseService;
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import org.ruoyi.chat.util.IpUtil;
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import org.ruoyi.chat.util.IpUtil;
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import org.ruoyi.common.chat.config.LocalCache;
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import org.ruoyi.common.chat.config.LocalCache;
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import org.ruoyi.common.chat.request.ChatRequest;
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import org.ruoyi.common.chat.entity.Tts.TextToSpeech;
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import org.ruoyi.common.chat.entity.Tts.TextToSpeech;
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import org.ruoyi.common.chat.entity.chat.ChatCompletion;
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import org.ruoyi.common.chat.entity.chat.ChatCompletion;
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import org.ruoyi.common.chat.entity.chat.ChatCompletionResponse;
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import org.ruoyi.common.chat.entity.chat.ChatCompletionResponse;
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import org.ruoyi.common.chat.entity.chat.Message;
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import org.ruoyi.common.chat.entity.chat.Message;
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import org.ruoyi.common.chat.entity.files.UploadFileResponse;
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import org.ruoyi.common.chat.entity.files.UploadFileResponse;
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import org.ruoyi.common.chat.entity.whisper.WhisperResponse;
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import org.ruoyi.common.chat.entity.whisper.WhisperResponse;
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import org.ruoyi.common.chat.openai.OpenAiStreamClient;
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import org.ruoyi.common.chat.openai.OpenAiStreamClient;
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import org.ruoyi.common.core.service.ConfigService;
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import org.ruoyi.common.chat.request.ChatRequest;
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import org.ruoyi.common.core.utils.DateUtils;
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import org.ruoyi.common.core.utils.DateUtils;
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import org.ruoyi.common.core.utils.StringUtils;
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import org.ruoyi.common.core.utils.StringUtils;
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import org.ruoyi.common.core.utils.file.FileUtils;
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import org.ruoyi.common.core.utils.file.FileUtils;
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import org.ruoyi.common.core.utils.file.MimeTypeUtils;
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import org.ruoyi.common.core.utils.file.MimeTypeUtils;
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import org.ruoyi.common.redis.utils.RedisUtils;
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import org.ruoyi.common.redis.utils.RedisUtils;
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import org.ruoyi.domain.vo.ChatModelVo;
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import org.ruoyi.domain.vo.ChatModelVo;
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import org.ruoyi.service.EmbeddingService;
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import org.ruoyi.service.EmbeddingService;
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import org.ruoyi.service.IChatModelService;
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import org.ruoyi.service.IChatModelService;
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@@ -55,11 +45,7 @@ import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Path;
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import java.time.Duration;
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import java.time.Duration;
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import java.util.ArrayList;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.List;
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import java.util.List;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.atomic.AtomicBoolean;
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import java.util.concurrent.atomic.AtomicReference;
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@Service
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@Service
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@Slf4j
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@Slf4j
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@@ -72,19 +58,16 @@ public class SseServiceImpl implements ISseService {
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private final VectorStoreService vectorStore;
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private final VectorStoreService vectorStore;
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private final ConfigService configService;
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private final IChatCostService chatCostService;
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private final IChatCostService chatCostService;
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private final IChatService chatService;
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private final IChatModelService chatModelService;
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private final IChatModelService chatModelService;
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private static final String requestIdTemplate = "company-%d";
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private final OpenAIServiceImpl openAIService;
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private static final ObjectMapper mapper = new ObjectMapper();
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private final OllamaServiceImpl ollamaService;
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private ChatModelVo chatModelVo;
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private final ChatConfig chatConfig;
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@Override
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@Override
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public SseEmitter sseChat(ChatRequest chatRequest, HttpServletRequest request) {
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public SseEmitter sseChat(ChatRequest chatRequest, HttpServletRequest request) {
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@@ -100,7 +83,7 @@ public class SseServiceImpl implements ISseService {
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chatRequest.setUserId(chatCostService.getUserId());
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chatRequest.setUserId(chatCostService.getUserId());
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// 保存消息记录 并扣除费用
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// 保存消息记录 并扣除费用
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// chatCostService.deductToken(chatRequest);
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chatCostService.deductToken(chatRequest);
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}
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}
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// 根据模型名称前缀调用不同的处理逻辑
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// 根据模型名称前缀调用不同的处理逻辑
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switchModelAndHandle(chatRequest,sseEmitter);
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switchModelAndHandle(chatRequest,sseEmitter);
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@@ -143,35 +126,11 @@ public class SseServiceImpl implements ISseService {
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* 根据模型名称前缀调用不同的处理逻辑
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* 根据模型名称前缀调用不同的处理逻辑
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*/
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*/
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private void switchModelAndHandle(ChatRequest chatRequest,SseEmitter emitter) {
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private void switchModelAndHandle(ChatRequest chatRequest,SseEmitter emitter) {
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SSEEventSourceListener openAIEventSourceListener = new SSEEventSourceListener(emitter);
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// 调用ollama中部署的本地模型
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String model = chatRequest.getModel();
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if (ChatModeType.OLLAMA.getCode().equals(chatModelVo.getCategory())) {
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// 如果模型名称以ollama开头,则调用ollama中部署的本地模型
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ollamaService.chat(chatRequest,emitter);
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if (model.startsWith("ollama-")) {
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String[] parts = chatRequest.getModel().split("ollama-", 2);
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if (parts.length > 1) {
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chatRequest.setModel(parts[1]);
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chatService.mcpChat(chatRequest,emitter);
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} else {
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throw new IllegalArgumentException("Invalid ollama model name: " + chatRequest.getModel());
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}
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} else {
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} else {
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openAIService.chat(chatRequest,emitter);
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if (model.startsWith("gpt-4-gizmo")) {
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chatRequest.setModel("gpt-4-gizmo");
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}
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ChatModelVo chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
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//openAiStreamClient = chatConfig.createOpenAiStreamClient(chatModelVo.getApiHost(), chatModelVo.getApiKey());
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ChatCompletion completion = ChatCompletion
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.builder()
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.messages(chatRequest.getMessages())
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.model(chatRequest.getModel())
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.temperature(0.2)
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.topP(1.0)
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.stream(true)
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.build();
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openAiStreamClient.streamChatCompletion(completion, openAIEventSourceListener);
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}
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}
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}
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}
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@@ -179,7 +138,7 @@ public class SseServiceImpl implements ISseService {
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* 构建消息列表
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* 构建消息列表
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*/
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*/
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private void buildChatMessageList(ChatRequest chatRequest){
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private void buildChatMessageList(ChatRequest chatRequest){
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ChatModelVo chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
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chatModelVo = chatModelService.selectModelByName(chatRequest.getModel());
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// 获取对话消息列表
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// 获取对话消息列表
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List<Message> messages = chatRequest.getMessages();
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List<Message> messages = chatRequest.getMessages();
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String sysPrompt = chatModelVo.getSystemPrompt();
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String sysPrompt = chatModelVo.getSystemPrompt();
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@@ -220,11 +179,6 @@ public class SseServiceImpl implements ISseService {
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}
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}
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// 设置对话信息
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// 设置对话信息
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chatRequest.setPrompt(chatString);
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chatRequest.setPrompt(chatString);
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// 加载联网信息
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if(chatRequest.getSearch()){
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Message message = Message.builder().role(Message.Role.ASSISTANT).content("联网信息:"+webSearch(chatString)).build();
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messages.add(message);
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}
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}
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}
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@@ -333,58 +287,4 @@ public class SseServiceImpl implements ISseService {
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return chatCompletionResponse.getChoices().get(0).getMessage().getContent().toString();
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return chatCompletionResponse.getChoices().get(0).getMessage().getContent().toString();
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}
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}
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@Override
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public String webSearch (String prompt) {
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String zpValue = configService.getConfigValue("zhipu", "key");
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if(StringUtils.isEmpty(zpValue)){
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throw new IllegalStateException("请在chat_config中配置智谱key信息");
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}else {
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ClientV4 client = new ClientV4.Builder(zpValue)
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.networkConfig(300, 100, 100, 100, TimeUnit.SECONDS)
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.connectionPool(new okhttp3.ConnectionPool(8, 1, TimeUnit.SECONDS))
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.build();
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SearchChatMessage jsonNodes = new SearchChatMessage();
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jsonNodes.setRole(Message.Role.USER.getName());
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jsonNodes.setContent(prompt);
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String requestId = String.format(requestIdTemplate, System.currentTimeMillis());
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WebSearchParamsRequest chatCompletionRequest = WebSearchParamsRequest.builder()
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.model("web-search-pro")
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.stream(Boolean.TRUE)
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.messages(Collections.singletonList(jsonNodes))
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.requestId(requestId)
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.build();
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WebSearchApiResponse webSearchApiResponse = client.webSearchProStreamingInvoke(chatCompletionRequest);
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List<ChoiceDelta> choices = new ArrayList<>();
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if (webSearchApiResponse.isSuccess()) {
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AtomicBoolean isFirst = new AtomicBoolean(true);
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AtomicReference<WebSearchPro> lastAccumulator = new AtomicReference<>();
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webSearchApiResponse.getFlowable().map(result -> result)
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.doOnNext(accumulator -> {
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{
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if (isFirst.getAndSet(false)) {
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log.info("Response: ");
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}
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ChoiceDelta delta = accumulator.getChoices().get(0).getDelta();
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if (delta != null && delta.getToolCalls() != null) {
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log.info("tool_calls: {}", mapper.writeValueAsString(delta.getToolCalls()));
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}
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choices.add(delta);
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}
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})
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.doOnComplete(() -> System.out.println("Stream completed."))
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.doOnError(throwable -> System.err.println("Error: " + throwable))
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.blockingSubscribe();
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WebSearchPro chatMessageAccumulator = lastAccumulator.get();
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webSearchApiResponse.setFlowable(null);
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webSearchApiResponse.setData(chatMessageAccumulator);
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}
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return choices.get(1).getToolCalls().toString();
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}
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}
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}
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}
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