AgentChatController.java
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package com.xly.web;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.xly.agent.AgentIdentity;
import com.xly.agent.Intent;
import com.xly.agent.ReActAgent;
import com.xly.config.AgentFactory;
import com.xly.config.RedisChatMemoryStore;
import com.xly.service.AuthzService;
import com.xly.service.ConversationService;
import com.xly.service.FormResolverService;
import com.xly.service.IntentService;
import com.xly.service.LedgerService;
import com.xly.service.OpService;
import com.xly.service.SlotFillService;
import com.xly.service.StateService;
import com.xly.tool.FormCollectTool;
import dev.langchain4j.service.TokenStream;
import dev.langchain4j.service.tool.ToolExecution;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.http.MediaType;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.servlet.mvc.method.annotation.SseEmitter;
import java.io.IOException;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.regex.Pattern;
/**
* 单 agent 对话入口。{@code POST /xlyAi/api/agent/chat} 以 SSE 流式返回。
*
* <p><b>编排(架构 §5 意图门 + 确定性路由)</b>:每轮先用 {@link IntentService} 做**受约束 JSON**
* 的 4 类意图+实体分类,再确定性路由:
* <ul>
* <li><b>新增</b> → 直接用 {@link SlotFillService} 按表单真实字段做受约束槽位填充,弹 collectForm 表单
* (完全不经 LLM 选工具,从机制上杜绝「把产品当客户」);</li>
* <li><b>操作已有单据</b> → 写槽位抽取 + 确定性 proposeWrite(人在环,具体动作从原话推出);</li>
* <li><b>查询/其他/分类失败</b> → 统一的 6 工具 ReAct agent(查询附意图 grounding)。</li>
* </ul>
* 确定性路径 + 意图 grounding + 循环护栏,共同解决「查询错当新增」「更新流程死循环」等问题。
*
* <p>帧格式:{@code {"type":"token|reset|done|error"}}、写提议 {@code write_proposal}、澄清 {@code question}、
* 表单收集 {@code form_collect}。确认/取消走确定性端点 {@code /api/agent/op/{id}/...},不经过 LLM。
*/
@RestController
@RequestMapping("/api/agent")
public class AgentChatController {
private static final Logger log = LoggerFactory.getLogger(AgentChatController.class);
private static final Set<String> WRITE_TOOLS = Set.of("proposeWrite");
/** 反编造护栏:agent 声称「已生成/已完成」写操作的说法(无 proposeWrite 提议时要纠正)。 */
private static final Pattern WRITE_CLAIM = Pattern.compile("已(为您?|经)?(生成|提交|完成|写入|新增|修改|作废|审核)");
private final AgentFactory agentFactory;
private final AuthzService authz;
private final ObjectMapper mapper;
private final ConversationService conversations;
private final OpService ops;
private final IntentService intentService;
private final SlotFillService slotFill;
private final FormResolverService resolver;
private final LedgerService ledger;
private final StateService state;
private final RedisChatMemoryStore memoryStore;
private final ExecutorService exec = Executors.newCachedThreadPool();
public AgentChatController(AgentFactory agentFactory, AuthzService authz, ObjectMapper mapper,
ConversationService conversations, OpService ops,
IntentService intentService, SlotFillService slotFill,
FormResolverService resolver, LedgerService ledger,
StateService state, RedisChatMemoryStore memoryStore) {
this.agentFactory = agentFactory;
this.authz = authz;
this.mapper = mapper;
this.conversations = conversations;
this.ops = ops;
this.intentService = intentService;
this.slotFill = slotFill;
this.resolver = resolver;
this.ledger = ledger;
this.state = state;
this.memoryStore = memoryStore;
}
public static class ChatReq {
public String text;
public String userid;
public String conversationId;
// 透传的 ERP 会话 token + 稳定身份(前端逐请求带上;token 绝不进 prompt)
public String authorization;
public String brandsid;
public String subsidiaryid;
public String usertype;
}
@PostMapping(value = "/chat", produces = "text/event-stream;charset=UTF-8")
public SseEmitter chat(@RequestBody ChatReq req) {
SseEmitter emitter = new SseEmitter(180_000L);
final String userInput = req.text == null ? "" : req.text;
final String convId = (req.conversationId != null && !req.conversationId.isBlank())
? req.conversationId
: ((req.userid == null ? "anon" : req.userid) + ":default");
conversations.touch(req.userid == null ? "anon" : req.userid, convId, userInput);
ledger.append(convId, "user", Map.of("text", userInput));
final AgentIdentity identity = resolveIdentity(req);
exec.submit(() -> {
try {
route(emitter, convId, identity, userInput);
} catch (Exception e) {
log.error("agent route failed (conv={})", convId, e);
send(emitter, "error", "服务异常:" + e.getMessage());
emitter.complete();
}
});
return emitter;
}
public static class FormSubmitReq {
public String entity;
public Map<String, String> fields; // 字段中文名 -> 值
public String userid;
public String conversationId;
public String authorization;
public String brandsid;
public String subsidiaryid;
public String usertype;
}
/**
* 确定性表单提交:collectForm 表单的结构化字段**直达** proposeWrite(action=create),
* 不再拼自然语言消息让 LLM 重新编码(旧路径会丢字段/错角色)。同步返回提议或错误。
*/
@PostMapping("/form/submit")
public Map<String, Object> formSubmit(@RequestBody FormSubmitReq req) {
final String convId = (req.conversationId != null && !req.conversationId.isBlank())
? req.conversationId
: ((req.userid == null ? "anon" : req.userid) + ":default");
Map<String, Object> out = new LinkedHashMap<>();
String entity = req.entity == null ? "" : req.entity.trim();
Map<String, String> fields = req.fields == null ? Map.of() : req.fields;
if (entity.isEmpty() || fields.isEmpty()) {
out.put("error", "缺少单据类型或表单字段。");
return out;
}
ChatReq idReq = new ChatReq();
idReq.userid = req.userid;
idReq.authorization = req.authorization;
idReq.brandsid = req.brandsid;
idReq.subsidiaryid = req.subsidiaryid;
idReq.usertype = req.usertype;
AgentIdentity identity = resolveIdentity(idReq);
StringBuilder parts = new StringBuilder();
fields.forEach((k, v) -> {
if (v != null && !v.isBlank()) {
if (parts.length() > 0) parts.append(",");
parts.append(k).append("=").append(v);
}
});
String userText = "提交「" + entity + "」新增表单:" + parts;
conversations.touch(req.userid == null ? "anon" : req.userid, convId, userText);
ledger.append(convId, "user", Map.of("text", userText));
String fieldsJson;
try {
fieldsJson = mapper.writeValueAsString(fields);
} catch (Exception e) {
out.put("error", "字段序列化失败:" + e.getMessage());
return out;
}
String result = agentFactory.proposeWriteTool(identity)
.proposeWrite("create", entity, null, null, null, fieldsJson);
try {
JsonNode r = mapper.readTree(result);
String opId = r.path("opId").asText(null);
if (opId != null && !opId.isBlank()) {
ops.attachConversation(opId, convId);
String summary = r.path("summary").asText("");
ledger.append(convId, "proposal", Map.of("opId", opId, "summary", summary));
state.setActiveDoc(convId, entity, "", opId, "proposed");
appendMemoryTurn(convId, userText, "已生成待确认提议:" + summary + "(等待用户点确认/取消)");
out.put("opId", opId);
out.put("summary", summary);
out.put("message", r.path("message").asText("已生成待确认操作,请点【确认】。"));
} else {
String err = r.path("error").asText("无法完成该新增。");
ledger.append(convId, "assistant", Map.of("text", err));
appendMemoryTurn(convId, userText, err);
out.put("error", err);
}
} catch (Exception e) {
out.put("error", "服务异常:" + e.getMessage());
}
return out;
}
/** 意图门 + 确定性路由。表单提交不再走这里——见 {@link #formSubmit}(结构化直达,确定性)。 */
private void route(SseEmitter emitter, String convId, AgentIdentity identity, String userInput) {
// 意图门(带上一轮留下的状态槽;失败时返回 其他,走兜底)。
String digest = state.digest(convId);
Intent it = intentService.classify(userInput, digest);
state.recordIntent(convId, it.intent, it.danju);
state.mergeEntities(convId, it.entities);
log.info("intent(conv={}): {} / {} / entities={} / missing={}",
convId, it.intent, it.danju, it.describeEntities(), it.missing);
switch (it.intent) {
case Intent.CREATE:
if (handleCreate(emitter, convId, identity, userInput, it)) {
return;
}
// 无法确定性建表单 → 交给 agent 处理(可能需要它先问清单据类型)。
runAgent(emitter, convId, identity, withState(ground(userInput, it), digest), false);
return;
case Intent.OPERATE:
handleWrite(emitter, convId, identity, userInput, it, digest);
return;
case Intent.QUERY:
runAgent(emitter, convId, identity, withState(ground(userInput, it), digest), true);
return;
default:
// 其他/分类失败:原文交给 agent,尽量不丢能力。
runAgent(emitter, convId, identity, withState(userInput, digest), false);
}
}
/** 状态槽注入在用户消息尾部(空状态时原样返回,保持 KV 前缀稳定)。 */
private static String withState(String text, String digest) {
if (digest == null || digest.isBlank()) {
return text;
}
return text + "\n\n(会话状态,仅供参考:" + digest + ")";
}
/**
* 确定性「新增」:解析目标表单 → 受约束槽位填充 → 弹 collectForm 表单。全程不经 LLM 选工具,
* 因此「纸盒」这类产品名不可能被塞进客户字段。返回 false 表示无法处理(交回 route 兜底)。
*/
private boolean handleCreate(SseEmitter emitter, String convId, AgentIdentity identity,
String userInput, Intent it) {
String entity = it.danju == null ? "" : it.danju.trim();
if (entity.isEmpty()) {
return false;
}
Map<String, Object> form = resolver.resolveMasterForm(entity);
if (form == null) {
return false;
}
String table = String.valueOf(form.get("sDataSource"));
// 确定性槽位映射:角色实体(意图门已给) + 正则尺寸/数量 → 真实字段,绝不让模型乱放槽位。
List<Map<String, Object>> fields = resolver.businessFields(table, 40);
Map<String, String> known = slotFill.buildCreateFields(userInput, entity, fields, it);
FormCollectTool fct = agentFactory.formCollectTool(identity);
String payload = fct.collectForm(entity, slotFill.toJson(known));
try {
JsonNode r = mapper.readTree(payload);
if ("form_collect".equals(r.path("type").asText(""))) {
sendEvent(emitter, mapper.convertValue(r, Map.class));
String hint = "请在下方表单里填写(客户/产品从下拉里选真实数据),填完点【提交】。";
send(emitter, "token", hint);
ledger.append(convId, "form", Map.of("entity", entity, "message", hint));
state.setActiveDoc(convId, entity, "", "", "collecting");
appendMemoryTurn(convId, userInput, "已为「" + entity + "」弹出新建表单,等待用户填写提交。");
send(emitter, "done", "");
emitter.complete();
return true;
}
// collectForm 返回 error(如无权限/无可填字段)→ 如实反馈,不再兜底重复。
String err = r.path("error").asText("");
if (!err.isBlank()) {
send(emitter, "token", err);
ledger.append(convId, "assistant", Map.of("text", err));
appendMemoryTurn(convId, userInput, err);
send(emitter, "done", "");
emitter.complete();
return true;
}
} catch (Exception e) {
log.warn("handleCreate parse failed (conv={}): {}", convId, e.getMessage());
}
return false;
}
/** 确定性路径不经过 LLM 记忆——把这轮 用户话+系统答复 补进对话记忆,修补记忆空洞。 */
private void appendMemoryTurn(String convId, String userText, String aiText) {
try {
memoryStore.appendTurn(convId, userText, aiText);
} catch (Exception e) {
log.warn("append memory turn failed (conv={}): {}", convId, e.getMessage());
}
}
/** 运行 ReAct agent,把流式回调转成 SSE。queryGuard=true 时启用查询反编造护栏。 */
private void runAgent(SseEmitter emitter, String convId, AgentIdentity identity,
String text, boolean queryGuard) {
runAgentAttempt(emitter, convId, identity, text, queryGuard, true);
}
/**
* 反编造护栏(代码层——实测 Ollama 对 tool_choice=required 不硬执行):
* 查询轮**零工具调用**却答出数字 → 重试一次强制先查数,仍复发则标注「未经核实」;
* 非查询轮声称「已生成/已完成」但没真正 proposeWrite → 附纠正提示(无提议卡片即未生效)。
*/
private void runAgentAttempt(SseEmitter emitter, String convId, AgentIdentity identity,
String text, boolean queryGuard, boolean allowRetry) {
try {
ReActAgent agent = agentFactory.build(identity);
AtomicInteger toolCalls = new AtomicInteger();
AtomicBoolean proposed = new AtomicBoolean(false);
TokenStream ts = agent.chat(convId, text);
ts.onPartialResponse(token -> send(emitter, "token", token))
.onToolExecuted(te -> {
toolCalls.incrementAndGet();
handleToolExecuted(emitter, convId, te, proposed);
})
.onCompleteResponse(resp -> {
String answer = resp == null || resp.aiMessage() == null || resp.aiMessage().text() == null
? "" : resp.aiMessage().text();
if (queryGuard && toolCalls.get() == 0 && hasDigits(answer)) {
if (allowRetry) {
log.warn("anti-fab retry (conv={}): zero tools + digits", convId);
send(emitter, "reset", "");
runAgentAttempt(emitter, convId, identity,
"你上一条回答没有调用任何工具、数字疑似编造。请先用工具查询真实数据,再重新回答这个问题:" + text,
true, false);
return;
}
send(emitter, "token", "\n\n⚠️ 注意:以上数字未能经系统数据核实,仅供参考。");
}
if (!queryGuard && !proposed.get() && WRITE_CLAIM.matcher(answer).find()) {
send(emitter, "token", "\n\n⚠️ 系统提示:本条回复没有真正生成待确认操作(没有出现提议卡片即未生效),请重新描述一次您要做的操作。");
}
if (!answer.isBlank()) {
ledger.append(convId, "assistant", Map.of("text", answer));
}
send(emitter, "done", "");
emitter.complete();
})
.onError(err -> {
log.warn("agent chat stream error (conv={})", convId, err);
send(emitter, "error", err.getMessage() == null ? "服务异常" : err.getMessage());
emitter.complete();
})
.start();
} catch (Exception e) {
log.error("agent invoke failed (conv={})", convId, e);
send(emitter, "error", "服务异常:" + e.getMessage());
emitter.complete();
}
}
private static boolean hasDigits(String s) {
if (s == null) {
return false;
}
for (int i = 0; i < s.length(); i++) {
if (Character.isDigit(s.charAt(i))) {
return true;
}
}
return false;
}
/** 把意图门结果作为 grounding 附在用户消息后,稳住下游 agent 的选工具与实体理解。 */
private String ground(String userInput, Intent it) {
StringBuilder g = new StringBuilder(userInput);
g.append("\n\n(意图分析,仅供参考:意图=").append(it.intent);
if (it.danju != null && !it.danju.isBlank()) {
g.append(",单据/实体类型=").append(it.danju);
}
// 用 角色=值 的形式,避免下游把"值(角色)"整体误当作参数值
StringBuilder pairs = new StringBuilder();
for (Intent.Entity e : it.entities) {
if (e == null || e.value == null || e.value.isBlank()) continue;
if (pairs.length() > 0) pairs.append(",");
pairs.append(e.role == null ? "其他" : e.role).append("=").append(e.value);
}
if (pairs.length() > 0) {
g.append(",识别到 ").append(pairs);
}
g.append("。调用工具时请用上面的**值**作为参数(不要把角色名或括号写进参数),实体角色不要弄错。)");
return g.toString();
}
/**
* 「操作已有单据」处理:先用**写槽位抽取**得到 记录/字段/新值(比通用 missing 可靠),
* 齐了就确定性调 proposeWrite(它会自定位主表/记录),
* 缺了就**确定性问一次**并停下——两头都不进失控循环。
*/
private void handleWrite(SseEmitter emitter, String convId, AgentIdentity identity,
String userInput, Intent it, String digest) {
Intent.WriteSlots w = intentService.extractWrite(userInput, digest);
log.info("write-slots(conv={}): entity={} record={} field={} newValue={}",
convId, w.entityType, w.record, w.field, w.newValue);
String action = deriveWriteAction(userInput);
String ent = pickEntity(w.entityType, it.danju);
// 关键信息不全 → 确定性问一次并停下(不进任何 LLM 循环)
if ("update".equals(action)) {
java.util.List<String> need = new java.util.ArrayList<>();
if (isBlank(w.record)) need.add("要修改哪条记录(名称/单号)");
if (isBlank(w.newValue)) need.add("改成什么新值");
if (!need.isEmpty()) {
clarifyWrite(emitter, convId, userInput, "修改", w.record, need);
return;
}
} else if (isBlank(w.record)) {
clarifyWrite(emitter, convId, userInput, actionVerb(action), "",
java.util.List.of("要" + actionVerb(action) + "哪条记录(名称/单号)"));
return;
}
// 确定性调用 proposeWrite(不经 LLM 选工具,避免它反问/选错),直接渲染结果
String result = agentFactory.proposeWriteTool(identity)
.proposeWrite(action, ent, w.record, w.field, w.newValue, null);
emitWriteResult(emitter, convId, userInput, ent, w.record, result);
}
/** 把 proposeWrite 的返回渲染成 SSE:有 opId → 写提议卡;否则 → 文字反馈(定位失败/多条匹配等)。 */
private void emitWriteResult(SseEmitter emitter, String convId, String userInput,
String ent, String record, String result) {
try {
JsonNode r = mapper.readTree(result);
String opId = r.path("opId").asText(null);
if (opId != null && !opId.isBlank()) {
ops.attachConversation(opId, convId);
String summary = r.path("summary").asText("");
Map<String, Object> card = new LinkedHashMap<>();
card.put("type", "write_proposal");
card.put("opId", opId);
card.put("summary", summary);
sendEvent(emitter, card);
send(emitter, "token", r.path("message").asText("已生成待确认操作,请点【确认】。"));
ledger.append(convId, "proposal", Map.of("opId", opId, "summary", summary));
state.setActiveDoc(convId, ent, record, opId, "proposed");
appendMemoryTurn(convId, userInput, "已生成待确认提议:" + summary + "(等待用户点确认/取消)");
} else {
String err = r.path("error").asText("无法完成该操作。");
send(emitter, "token", err);
ledger.append(convId, "assistant", Map.of("text", err));
appendMemoryTurn(convId, userInput, err);
}
} catch (Exception e) {
send(emitter, "error", "服务异常:" + e.getMessage());
}
send(emitter, "done", "");
emitter.complete();
}
/** 实体类型:抽取到的太泛(单据/记录/数据/单)时用意图门的 danju 兜底。 */
private static String pickEntity(String entityType, String danju) {
boolean generic = entityType == null || entityType.isBlank()
|| entityType.equals("单据") || entityType.equals("记录")
|| entityType.equals("数据") || entityType.equals("单");
if (!generic) return entityType.trim();
return (danju != null && !danju.isBlank()) ? danju.trim() : (entityType == null ? "" : entityType.trim());
}
/** 从用户原话推出具体写动作(对齐 ERP:作废/复原/销审,而非物理删;「删除」默认=作废,安全可复原)。 */
private String deriveWriteAction(String text) {
String t = text == null ? "" : text;
if (t.contains("反审核") || t.contains("消审") || t.contains("销审")) return "cancelExamine";
if (t.contains("取消作废") || t.contains("复原") || t.contains("还原") || t.contains("恢复")) return "cancelInvalid";
if (t.contains("作废")) return "invalid";
if (t.contains("物理删除") || t.contains("彻底删除")) return "delete";
if (t.contains("审核") || t.contains("审批")) return "examine";
if (t.contains("删除") || t.contains("删掉") || t.contains("删了")) return "invalid";
return "update";
}
private static String actionVerb(String action) {
switch (action) {
case "invalid": return "作废";
case "cancelInvalid": return "复原";
case "examine": return "审核";
case "cancelExamine": return "销审";
case "delete": return "删除";
default: return "操作";
}
}
private void clarifyWrite(SseEmitter emitter, String convId, String userInput,
String verb, String record, java.util.List<String> need) {
String who = isBlank(record) ? "" : ("(记录:" + record + ")");
String text = "要" + verb + who + ",我还需要您补充:" + String.join("、", need)
+ "。请一起告诉我,我再为你生成待确认的操作。";
send(emitter, "token", text);
ledger.append(convId, "clarify", Map.of("text", text));
appendMemoryTurn(convId, userInput, text);
send(emitter, "done", "");
emitter.complete();
}
private static boolean isBlank(String s) {
return s == null || s.isBlank();
}
/** 解析本次请求身份:带透传 token → 真实用户身份(按 sAuthsId 收紧);否则 → dev-login。 */
private AgentIdentity resolveIdentity(ChatReq req) {
try {
if (req.authorization != null && !req.authorization.isBlank()) {
return authz.userIdentity(req.authorization.trim(), req.userid,
req.brandsid, req.subsidiaryid, req.usertype);
}
} catch (Exception e) {
log.warn("resolve user identity failed, fall back to dev-login: {}", e.getMessage());
}
return authz.devIdentity();
}
/** 工具执行回调:清掉工具前旁白(reset);按工具类型推对应卡片/控件事件;同步落账本/状态槽。 */
private void handleToolExecuted(SseEmitter emitter, String convId, ToolExecution te, AtomicBoolean proposed) {
send(emitter, "reset", "");
try {
String toolName = te.request() == null ? "" : te.request().name();
if (te.result() == null) {
return;
}
if (WRITE_TOOLS.contains(toolName)) {
JsonNode r = mapper.readTree(te.result());
String opId = r.path("opId").asText(null);
if (opId != null && !opId.isBlank()) {
ops.attachConversation(opId, convId);
String summary = r.path("summary").asText("");
Map<String, Object> card = new LinkedHashMap<>();
card.put("type", "write_proposal");
card.put("opId", opId);
card.put("summary", summary);
sendEvent(emitter, card);
proposed.set(true);
ledger.append(convId, "proposal", Map.of("opId", opId, "summary", summary));
state.setActiveDoc(convId, "", summary, opId, "proposed");
}
} else if ("askUser".equals(toolName) || "collectForm".equals(toolName)) {
JsonNode r = mapper.readTree(te.result());
String type = r.path("type").asText("");
if ("question".equals(type)) {
sendEvent(emitter, mapper.convertValue(r, Map.class));
ledger.append(convId, "question", Map.of(
"question", r.path("question").asText(""),
"options", mapper.convertValue(r.path("options"), List.class)));
} else if ("form_collect".equals(type)) {
sendEvent(emitter, mapper.convertValue(r, Map.class));
String entity = r.path("entity").asText("");
ledger.append(convId, "form", Map.of("entity", entity,
"message", r.path("message").asText("")));
state.setActiveDoc(convId, entity, "", "", "collecting");
}
} else {
String digest = te.result().replace('\n', ' ').trim();
if (digest.length() > 100) {
digest = digest.substring(0, 100) + "…";
}
ledger.append(convId, "tool", Map.of("name", toolName, "digest", digest));
}
} catch (Exception e) {
log.warn("handle tool result failed ({})", te.request() == null ? "?" : te.request().name(), e);
}
}
private void send(SseEmitter emitter, String type, String content) {
Map<String, Object> m = new LinkedHashMap<>();
m.put("type", type);
m.put("content", content);
sendEvent(emitter, m);
}
private void sendEvent(SseEmitter emitter, Map<String, Object> m) {
try {
emitter.send(SseEmitter.event().data(mapper.writeValueAsString(m), MediaType.APPLICATION_JSON));
} catch (IOException | IllegalStateException e) {
// 客户端已断开或 emitter 已结束——忽略。
}
}
}