feat(session): 会话存储体系实现 & Chat多Agent路由
- 新增诊断会话(diagnosis_session/agent_step/tool_invocation)三表 - AgentLoggingHook 持久化 agent_step,记录决策链和耗时 - LookupKnowledgeTool 写入 tool_invocation,记录L0/L1检索质量 - TokenTrackingChatModel 捕获真实token用量 - Chat接口支持意图路由:简单问题单Agent,复杂问题多Agent(Planner+Executor) - Prompt外置到 src/main/resources/prompts/ - 删除旧 diagnosis_record 表及相关文件 - 新增SessionContextHolder(ThreadLocal传递sessionId) - QuestionComplexity 复杂度判断工具 - 测试覆盖三张新表的Repository
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package com.superbiz.agent.hook;
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import org.springframework.ai.chat.model.ChatModel;
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import org.springframework.ai.chat.model.ChatResponse;
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import org.springframework.ai.chat.prompt.Prompt;
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import reactor.core.publisher.Flux;
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/**
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* ChatModel 包装器 — 捕获每次模型调用的实际 token 用量
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* 通过 TokenUsageHolder 传递给 AgentLoggingHook
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*/
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public class TokenTrackingChatModel implements ChatModel {
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private final ChatModel delegate;
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public TokenTrackingChatModel(ChatModel delegate) {
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this.delegate = delegate;
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}
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@Override
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public ChatResponse call(Prompt prompt) {
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ChatResponse response = delegate.call(prompt);
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captureTokenUsage(response);
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return response;
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}
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@Override
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public Flux<ChatResponse> stream(Prompt prompt) {
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return delegate.stream(prompt);
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}
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private void captureTokenUsage(ChatResponse response) {
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try {
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if (response.getMetadata() != null && response.getMetadata().getUsage() != null) {
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var usage = response.getMetadata().getUsage();
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Integer total = usage.getTotalTokens();
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if (total != null && total > 0) {
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TokenUsageHolder.set(total);
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}
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}
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} catch (Exception e) {
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// 不中断模型调用
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}
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}
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}
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