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Merge pull request #3090 from xinnan-tech/slm-and-title

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update:添加SLM模型配置和会话标题功能
This commit is contained in:
wengzh
2026-04-13 09:08:11 +08:00
committed by GitHub
parent 736ffd80bf b9a1b154b7
commit 8fd92729f2
16 changed files with 406 additions and 27 deletions
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main/manager-api/src/main/java/xiaozhi/common/constant/Constant.java
+10
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@@ -156,6 +156,16 @@ public interface Constant {
*/
String MEMORY_MEM_REPORT_ONLY = "Memory_mem_report_only";
/**
* Mem0AI记忆
*/
String MEMORY_MEM0AI = "Memory_mem0ai";
/**
* PowerMem记忆
*/
String MEMORY_POWERMEM = "Memory_powermem";
/**
* 火山引擎双声道语音克隆
*/
main/manager-api/src/main/java/xiaozhi/modules/agent/dao/AgentChatTitleDao.java
+12
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@@ -0,0 +1,12 @@
package xiaozhi.modules.agent.dao;
import org.apache.ibatis.annotations.Mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import xiaozhi.modules.agent.entity.AgentChatTitleEntity;
@Mapper
public interface AgentChatTitleDao extends BaseMapper<AgentChatTitleEntity> {
}
main/manager-api/src/main/java/xiaozhi/modules/agent/dto/AgentChatSessionDTO.java
+5
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@@ -23,4 +23,9 @@ public class AgentChatSessionDTO {
* 聊天条数
*/
private Integer chatCount;
/**
* 会话标题
*/
private String title;
}
main/manager-api/src/main/java/xiaozhi/modules/agent/dto/AgentUpdateDTO.java
+3
View File
@@ -33,6 +33,9 @@ public class AgentUpdateDTO implements Serializable {
@Schema(description = "大语言模型标识", example = "llm_model_02", nullable = true)
private String llmModelId;
@Schema(description = "小模型标识", example = "slm_model_02", nullable = true)
private String slmModelId;
@Schema(description = "VLLM模型标识", example = "vllm_model_02", required = false)
private String vllmModelId;
main/manager-api/src/main/java/xiaozhi/modules/agent/entity/AgentChatTitleEntity.java
+36
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@@ -0,0 +1,36 @@
package xiaozhi.modules.agent.entity;
import java.util.Date;
import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.AllArgsConstructor;
import lombok.Builder;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@Builder
@AllArgsConstructor
@NoArgsConstructor
@TableName(value = "ai_agent_chat_title")
public class AgentChatTitleEntity {
@TableId(type = IdType.ASSIGN_UUID)
private String id;
@TableField(value = "session_id")
private String sessionId;
@TableField(value = "title")
private String title;
@TableField(value = "created_at")
private Date createdAt;
@TableField(value = "updated_at")
private Date updatedAt;
}
main/manager-api/src/main/java/xiaozhi/modules/agent/entity/AgentEntity.java
+3
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@@ -37,6 +37,9 @@ public class AgentEntity {
@Schema(description = "大语言模型标识")
private String llmModelId;
@Schema(description = "小模型标识")
private String slmModelId;
@Schema(description = "VLLM模型标识")
private String vllmModelId;
main/manager-api/src/main/java/xiaozhi/modules/agent/service/AgentChatTitleService.java
+10
View File
@@ -0,0 +1,10 @@
package xiaozhi.modules.agent.service;
import xiaozhi.modules.agent.entity.AgentChatTitleEntity;
public interface AgentChatTitleService {
void saveOrUpdateTitle(String sessionId, String title);
String getTitleBySessionId(String sessionId);
}
main/manager-api/src/main/java/xiaozhi/modules/agent/service/impl/AgentChatHistoryServiceImpl.java
+7 -1
View File
@@ -6,6 +6,7 @@ import java.util.Map;
import java.util.stream.Collectors;
import cn.hutool.core.collection.ListUtil;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
@@ -26,6 +27,7 @@ import xiaozhi.modules.agent.dto.AgentChatHistoryDTO;
import xiaozhi.modules.agent.dto.AgentChatSessionDTO;
import xiaozhi.modules.agent.entity.AgentChatHistoryEntity;
import xiaozhi.modules.agent.service.AgentChatHistoryService;
import xiaozhi.modules.agent.service.AgentChatTitleService;
import xiaozhi.modules.agent.vo.AgentChatHistoryUserVO;
/**
@@ -36,9 +38,12 @@ import xiaozhi.modules.agent.vo.AgentChatHistoryUserVO;
* @since 1.0.0
*/
@Service
@RequiredArgsConstructor
public class AgentChatHistoryServiceImpl extends ServiceImpl<AiAgentChatHistoryDao, AgentChatHistoryEntity>
implements AgentChatHistoryService {
private final AgentChatTitleService agentChatTitleService;
@Override
public PageData<AgentChatSessionDTO> getSessionListByAgentId(Map<String, Object> params) {
String agentId = (String) params.get("agentId");
@@ -61,6 +66,7 @@ public class AgentChatHistoryServiceImpl extends ServiceImpl<AiAgentChatHistoryD
dto.setSessionId((String) map.get("session_id"));
dto.setCreatedAt((LocalDateTime) map.get("created_at"));
dto.setChatCount(((Number) map.get("chat_count")).intValue());
dto.setTitle(agentChatTitleService.getTitleBySessionId(dto.getSessionId()));
return dto;
}).collect(Collectors.toList());
@@ -91,7 +97,7 @@ public class AgentChatHistoryServiceImpl extends ServiceImpl<AiAgentChatHistoryD
if (ToolUtil.isNotEmpty(audioIds)) {
// 每批删除1000条
List<List<String>> batch = ListUtil.split(audioIds, 1000);
batch.forEach(dataList->{
batch.forEach(dataList -> {
baseMapper.deleteAudioByIds(dataList);
});
}
main/manager-api/src/main/java/xiaozhi/modules/agent/service/impl/AgentChatSummaryServiceImpl.java
+107 -26
View File
@@ -22,6 +22,7 @@ import xiaozhi.modules.agent.dto.AgentUpdateDTO;
import xiaozhi.modules.agent.entity.AgentChatHistoryEntity;
import xiaozhi.modules.agent.service.AgentChatHistoryService;
import xiaozhi.modules.agent.service.AgentChatSummaryService;
import xiaozhi.modules.agent.service.AgentChatTitleService;
import xiaozhi.modules.agent.service.AgentService;
import xiaozhi.modules.agent.vo.AgentInfoVO;
import xiaozhi.modules.device.entity.DeviceEntity;
@@ -42,6 +43,7 @@ public class AgentChatSummaryServiceImpl implements AgentChatSummaryService {
private final AgentChatHistoryService agentChatHistoryService;
private final AgentService agentService;
private final AgentChatTitleService agentChatTitleService;
private final DeviceService deviceService;
private final LLMService llmService;
private final ModelConfigService modelConfigService;
@@ -91,40 +93,42 @@ public class AgentChatSummaryServiceImpl implements AgentChatSummaryService {
@Override
public boolean generateAndSaveChatSummary(String sessionId) {
try {
// 1. 获取设备信息（通过会话关联的设备）
DeviceEntity device = getDeviceBySessionId(sessionId);
if (device == null) {
log.info("未找到与会话 {} 关联的设备", sessionId);
return false;
}
// 2. 检查记忆模型类型，如果是仅上报聊天记录模式则跳过总结
String memModelId = agentService.getAgentById(device.getAgentId()).getMemModelId();
if (memModelId != null && memModelId.equals(Constant.MEMORY_MEM_REPORT_ONLY)) {
String agentId = device.getAgentId();
String memModelId = agentService.getAgentById(agentId).getMemModelId();
if (memModelId == null || memModelId.equals(Constant.MEMORY_MEM_REPORT_ONLY)) {
log.info("会话 {} 使用仅上报聊天记录模式，跳过记忆总结", sessionId);
generateAndSaveChatTitle(sessionId, agentId);
return true;
}
// 3. 生成总结
AgentChatSummaryDTO summaryDTO = generateChatSummary(sessionId);
if (!summaryDTO.isSuccess()) {
log.info("生成总结失败: {}", summaryDTO.getErrorMessage());
return false;
}
boolean shouldSummarizeMemory = !memModelId.equals(Constant.MEMORY_NO_MEM)
&& !memModelId.equals(Constant.MEMORY_MEM0AI)
&& !memModelId.equals(Constant.MEMORY_POWERMEM);
// 4. 更新智能体记忆
AgentMemoryDTO memoryDTO = new AgentMemoryDTO();
memoryDTO.setSummaryMemory(summaryDTO.getSummary());
// 调用现有接口更新记忆
agentService.updateAgentById(device.getAgentId(),
new AgentUpdateDTO() {
if (shouldSummarizeMemory) {
AgentChatSummaryDTO summaryDTO = generateChatSummary(sessionId);
if (summaryDTO.isSuccess()) {
agentService.updateAgentById(agentId, new AgentUpdateDTO() {
{
setSummaryMemory(summaryDTO.getSummary());
}
});
log.info("成功保存会话 {} 的聊天记录总结到智能体 {}", sessionId, agentId);
} else {
log.info("生成总结失败: {}", summaryDTO.getErrorMessage());
}
} else {
log.info("会话 {} 使用 {} 模式，跳过记忆总结", sessionId, memModelId);
}
log.info("成功保存会话 {} 的聊天记录总结到智能体 {}", sessionId, device.getAgentId());
generateAndSaveChatTitle(sessionId, agentId);
return true;
} catch (Exception e) {
@@ -133,6 +137,87 @@ public class AgentChatSummaryServiceImpl implements AgentChatSummaryService {
}
}
private void generateAndSaveChatTitle(String sessionId, String agentId) {
try {
List<AgentChatHistoryDTO> chatHistory = getChatHistoryBySessionId(sessionId);
if (chatHistory == null || chatHistory.isEmpty()) {
return;
}
List<String> meaningfulMessages = extractMeaningfulMessages(chatHistory);
if (meaningfulMessages.isEmpty()) {
return;
}
StringBuilder conversation = new StringBuilder();
for (int i = 0; i < meaningfulMessages.size(); i++) {
conversation.append("消息").append(i + 1).append(": ").append(meaningfulMessages.get(i)).append("\n");
}
String slmModelId = getSlmModelId(agentId);
String title = llmService.generateTitle(conversation.toString(), slmModelId);
if (StringUtils.isNotBlank(title)) {
agentChatTitleService.saveOrUpdateTitle(sessionId, title);
log.info("成功保存会话 {} 的标题: {}", sessionId, title);
}
} catch (Exception e) {
log.error("生成会话 {} 的标题时发生错误: {}", sessionId, e.getMessage());
}
}
private String getSlmModelId(String agentId) {
try {
if (StringUtils.isBlank(agentId)) {
return null;
}
AgentInfoVO agentInfo = agentService.getAgentById(agentId);
if (agentInfo == null) {
return null;
}
String slmModelId = agentInfo.getSlmModelId();
if (StringUtils.isNotBlank(slmModelId)) {
log.info("会话 {} 使用SLM模型: {}", agentId, slmModelId);
return slmModelId;
}
ModelConfigEntity defaultLlmConfig = getDefaultLLMConfig();
if (defaultLlmConfig != null) {
log.info("会话 {} 使用默认LLM模型: {}", agentId, defaultLlmConfig.getId());
return defaultLlmConfig.getId();
}
String llmModelId = agentInfo.getLlmModelId();
log.info("会话 {} 使用LLM模型(最终回退): {}", agentId, llmModelId);
return llmModelId;
} catch (Exception e) {
log.error("获取智能体slm模型ID失败，agentId: {}, 错误: {}", agentId, e.getMessage());
return null;
}
}
private ModelConfigEntity getDefaultLLMConfig() {
try {
List<ModelConfigEntity> llmConfigs = modelConfigService.getEnabledModelsByType("LLM");
if (llmConfigs == null || llmConfigs.isEmpty()) {
return null;
}
for (ModelConfigEntity config : llmConfigs) {
if (config.getIsDefault() != null && config.getIsDefault() == 1) {
return config;
}
}
return llmConfigs.get(0);
} catch (Exception e) {
log.error("获取默认LLM配置失败: {}", e.getMessage());
return null;
}
}
/**
* 根据会话ID获取聊天记录
*/
@@ -313,15 +398,13 @@ public class AgentChatSummaryServiceImpl implements AgentChatSummaryService {
*/
private String callJavaLLMForSummaryWithHistory(String conversation, String historyMemory, String agentId) {
try {
// 获取智能体配置，从中提取记忆总结的模型ID
String modelId = getMemorySummaryModelId(agentId);
String modelId = getSlmModelId(agentId);
if (StringUtils.isBlank(modelId)) {
log.info("未找到记忆总结的LLM模型配置，使用默认LLM服务");
log.info("未找到SLM模型，使用默认LLM服务");
return llmService.generateSummaryWithHistory(conversation, historyMemory, null, null);
}
// 使用指定的模型ID调用LLM服务（支持历史记忆合并）
String summary = llmService.generateSummaryWithHistory(conversation, historyMemory, null, modelId);
if (StringUtils.isNotBlank(summary) && !summary.equals("服务暂不可用") && !summary.equals("总结生成失败")) {
@@ -341,15 +424,13 @@ public class AgentChatSummaryServiceImpl implements AgentChatSummaryService {
*/
private String callJavaLLMForSummary(String conversation, String agentId) {
try {
// 获取智能体配置，从中提取记忆总结的模型ID
String modelId = getMemorySummaryModelId(agentId);
String modelId = getSlmModelId(agentId);
if (StringUtils.isBlank(modelId)) {
log.info("未找到记忆总结的LLM模型配置，使用默认LLM服务");
log.info("未找到SLM模型，使用默认LLM服务");
return llmService.generateSummary(conversation);
}
// 使用指定的模型ID调用LLM服务
String summary = llmService.generateSummaryWithModel(conversation, modelId);
if (StringUtils.isNotBlank(summary) && !summary.equals("服务暂不可用") && !summary.equals("总结生成失败")) {
main/manager-api/src/main/java/xiaozhi/modules/agent/service/impl/AgentChatTitleServiceImpl.java
+60
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@@ -0,0 +1,60 @@
package xiaozhi.modules.agent.service.impl;
import java.util.Date;
import org.apache.commons.lang3.StringUtils;
import org.springframework.stereotype.Service;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import lombok.RequiredArgsConstructor;
import xiaozhi.modules.agent.dao.AgentChatTitleDao;
import xiaozhi.modules.agent.entity.AgentChatTitleEntity;
import xiaozhi.modules.agent.service.AgentChatTitleService;
@Service
@RequiredArgsConstructor
public class AgentChatTitleServiceImpl implements AgentChatTitleService {
private final AgentChatTitleDao agentChatTitleDao;
@Override
public void saveOrUpdateTitle(String sessionId, String title) {
if (StringUtils.isBlank(sessionId) || StringUtils.isBlank(title)) {
return;
}
QueryWrapper<AgentChatTitleEntity> wrapper = new QueryWrapper<>();
wrapper.eq("session_id", sessionId);
AgentChatTitleEntity existing = agentChatTitleDao.selectOne(wrapper);
if (existing != null) {
existing.setTitle(title);
existing.setUpdatedAt(new Date());
agentChatTitleDao.updateById(existing);
} else {
AgentChatTitleEntity newEntity = AgentChatTitleEntity.builder()
.id(java.util.UUID.randomUUID().toString().replace("-", ""))
.sessionId(sessionId)
.title(title)
.createdAt(new Date())
.updatedAt(new Date())
.build();
agentChatTitleDao.insert(newEntity);
}
}
@Override
public String getTitleBySessionId(String sessionId) {
if (StringUtils.isBlank(sessionId)) {
return null;
}
QueryWrapper<AgentChatTitleEntity> wrapper = new QueryWrapper<>();
wrapper.eq("session_id", sessionId);
AgentChatTitleEntity entity = agentChatTitleDao.selectOne(wrapper);
return entity != null ? entity.getTitle() : null;
}
}
main/manager-api/src/main/java/xiaozhi/modules/agent/service/impl/AgentServiceImpl.java
+29
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@@ -300,6 +300,9 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
if (dto.getLlmModelId() != null) {
existingEntity.setLlmModelId(dto.getLlmModelId());
}
if (dto.getSlmModelId() != null) {
existingEntity.setSlmModelId(dto.getSlmModelId());
}
if (dto.getVllmModelId() != null) {
existingEntity.setVllmModelId(dto.getVllmModelId());
}
@@ -506,6 +509,13 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
entity.setLanguage(template.getLanguage());
}
if (entity.getSlmModelId() == null) {
String defaultSlmModelId = getDefaultLLMModelId();
if (defaultSlmModelId != null) {
entity.setSlmModelId(defaultSlmModelId);
}
}
// 设置用户ID和创建者信息
UserDetail user = SecurityUser.getUser();
entity.setUserId(user.getId());
@@ -544,4 +554,23 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
return entity.getId();
}
private String getDefaultLLMModelId() {
try {
List<ModelConfigEntity> llmConfigs = modelConfigService.getEnabledModelsByType("LLM");
if (llmConfigs == null || llmConfigs.isEmpty()) {
return null;
}
for (ModelConfigEntity config : llmConfigs) {
if (config.getIsDefault() != null && config.getIsDefault() == 1) {
return config.getId();
}
}
return llmConfigs.get(0).getId();
} catch (Exception e) {
return null;
}
}
}
main/manager-api/src/main/java/xiaozhi/modules/llm/service/LLMService.java
+9
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@@ -67,4 +67,13 @@ public interface LLMService {
* @return 是否可用
*/
boolean isAvailable(String modelId);
/**
* 生成会话标题
*
* @param conversation 对话内容
* @param modelId 模型ID
* @return 标题（约15字）
*/
String generateTitle(String conversation, String modelId);
}
main/manager-api/src/main/java/xiaozhi/modules/llm/service/impl/OpenAIStyleLLMServiceImpl.java
+89
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@@ -37,6 +37,8 @@ public class OpenAIStyleLLMServiceImpl implements LLMService {
private static final String DEFAULT_SUMMARY_PROMPT = "你是一个经验丰富的记忆总结者，擅长将对话内容进行总结摘要，遵循以下规则：\n1、总结用户的重要信息，以便在未来的对话中提供更个性化的服务\n2、不要重复总结，不要遗忘之前记忆，除非原来的记忆超过了1800字，否则不要遗忘、不要压缩用户的历史记忆\n3、用户操控的设备音量、播放音乐、天气、退出、不想对话等和用户本身无关的内容，这些信息不需要加入到总结中\n4、聊天内容中的今天的日期时间、今天的天气情况与用户事件无关的数据，这些信息如果当成记忆存储会影响后续对话，这些信息不需要加入到总结中\n5、不要把设备操控的成果结果和失败结果加入到总结中，也不要把用户的一些废话加入到总结中\n6、不要为了总结而总结，如果用户的聊天没有意义，请返回原来的历史记录也是可以的\n7、只需要返回总结摘要，严格控制在1800字内\n8、不要包含代码、xml，不需要解释、注释和说明，保存记忆时仅从对话提取信息，不要混入示例内容\n9、如果提供了历史记忆，请将新对话内容与历史记忆进行智能合并，保留有价值的历史信息，同时添加新的重要信息\n\n历史记忆：\n{history_memory}\n\n新对话内容：\n{conversation}";
private static final String DEFAULT_TITLE_PROMPT = "请根据以下对话内容，生成一个简洁的会话标题（约15字以内），只返回标题，不要包含任何解释或标点符号：\n{conversation}";
@Override
public String generateSummary(String conversation) {
return generateSummary(conversation, null, null);
@@ -302,4 +304,91 @@ public class OpenAIStyleLLMServiceImpl implements LLMService {
return null;
}
}
@Override
public String generateTitle(String conversation, String modelId) {
if (!isAvailable()) {
log.warn("LLM服务不可用，无法生成标题");
return null;
}
try {
ModelConfigEntity llmConfig;
if (modelId != null && !modelId.trim().isEmpty()) {
llmConfig = modelConfigService.getModelByIdFromCache(modelId);
} else {
llmConfig = getDefaultLLMConfig();
}
if (llmConfig == null || llmConfig.getConfigJson() == null) {
log.error("未找到可用的LLM模型配置，modelId: {}", modelId);
return null;
}
JSONObject configJson = llmConfig.getConfigJson();
String baseUrl = configJson.getStr("base_url");
String model = configJson.getStr("model_name");
String apiKey = configJson.getStr("api_key");
if (StringUtils.isBlank(baseUrl) || StringUtils.isBlank(apiKey)) {
log.error("LLM配置不完整，baseUrl或apiKey为空");
return null;
}
String prompt = DEFAULT_TITLE_PROMPT.replace("{conversation}", conversation);
Map<String, Object> requestBody = new HashMap<>();
requestBody.put("model", model != null ? model : "gpt-3.5-turbo");
Map<String, Object>[] messages = new Map[1];
Map<String, Object> message = new HashMap<>();
message.put("role", "user");
message.put("content", prompt);
messages[0] = message;
requestBody.put("messages", messages);
requestBody.put("temperature", 0.3);
requestBody.put("max_tokens", 50);
HttpHeaders headers = new HttpHeaders();
headers.setContentType(MediaType.APPLICATION_JSON);
headers.set("Authorization", "Bearer " + apiKey);
HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);
String apiUrl = baseUrl;
if (!apiUrl.endsWith("/chat/completions")) {
if (!apiUrl.endsWith("/")) {
apiUrl += "/";
}
apiUrl += "chat/completions";
}
ResponseEntity<String> response = restTemplate.exchange(
apiUrl, HttpMethod.POST, entity, String.class);
if (response.getStatusCode().is2xxSuccessful()) {
JSONObject responseJson = JSONUtil.parseObj(response.getBody());
JSONArray choices = responseJson.getJSONArray("choices");
if (choices != null && choices.size() > 0) {
JSONObject choice = choices.getJSONObject(0);
JSONObject messageObj = choice.getJSONObject("message");
String title = messageObj.getStr("content");
if (StringUtils.isNotBlank(title)) {
title = title.trim().replaceAll("[，。！？、：；''\"\"【】（）]", "");
if (title.length() > 15) {
title = title.substring(0, 15);
}
return title;
}
}
} else {
log.error("LLM API调用失败，状态码：{}，响应：{}", response.getStatusCode(), response.getBody());
}
} catch (Exception e) {
log.error("调用LLM服务生成标题时发生异常，modelId: {}", modelId, e);
}
return null;
}
}
main/manager-api/src/main/resources/db/changelog/202604011545.sql
+16
View File
@@ -0,0 +1,16 @@
-- 智能体表添加小模型ID字段
SET @col_exists = (SELECT COUNT(*) FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA = DATABASE() AND TABLE_NAME = 'ai_agent' AND COLUMN_NAME = 'slm_model_id');
SET @sql = IF(@col_exists = 0, 'ALTER TABLE `ai_agent` ADD COLUMN `slm_model_id` VARCHAR(255) NULL COMMENT ''小模型ID'' AFTER `llm_model_id`', 'SELECT ''Column slm_model_id already exists'' AS msg');
PREPARE stmt FROM @sql; EXECUTE stmt; DEALLOCATE PREPARE stmt;
-- 创建聊天标题表
DROP TABLE IF EXISTS `ai_agent_chat_title`;
CREATE TABLE `ai_agent_chat_title` (
`id` VARCHAR(32) NOT NULL COMMENT '主键ID',
`session_id` VARCHAR(255) NOT NULL COMMENT '会话ID',
`title` VARCHAR(255) DEFAULT NULL COMMENT '聊天标题',
`created_at` DATETIME DEFAULT NULL COMMENT '创建时间',
`updated_at` DATETIME DEFAULT NULL COMMENT '更新时间',
PRIMARY KEY (`id`),
KEY `idx_session_id` (`session_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='智能体聊天标题表';
main/manager-api/src/main/resources/db/changelog/db.changelog-master.yaml
+7
View File
@@ -599,3 +599,10 @@ databaseChangeLog:
- sqlFile:
encoding: utf8
path: classpath:db/changelog/202604011035.sql
- changeSet:
id: 202604011545
author: rainv123
changes:
- sqlFile:
encoding: utf8
path: classpath:db/changelog/202604011545.sql
main/manager-api/src/main/resources/mapper/agent/AgentDao.xml
+3
View File
@@ -14,6 +14,8 @@
<result column="asrModelId" property="asrModelId"/>
<result column="vadModelId" property="vadModelId"/>
<result column="llmModelId" property="llmModelId"/>
<result column="slmModelId" property="slmModelId"/>
<result column="vllmModelId" property="vllmModelId"/>
<result column="ttsModelId" property="ttsModelId"/>
<result column="ttsVoiceId" property="ttsVoiceId"/>
<result column="ttsLanguage" property="ttsLanguage"/>
@@ -46,6 +48,7 @@
a.asr_model_id AS asrModelId,
a.vad_model_id AS vadModelId,
a.llm_model_id AS llmModelId,
a.slm_model_id AS slmModelId,
a.vllm_model_id AS vllmModelId,
a.tts_model_id AS ttsModelId,
a.tts_voice_id AS ttsVoiceId,