LLM-driven 设计，添加学习审计和会话历史存储至目录的功能

src/routes/chat.ts

@@ -2,6 +2,7 @@ import type { Event as OpencodeEvent, Part } from "@opencode-ai/sdk/v2";
 import { Router } from "express";
 import { z } from "zod";
 
+import { type LearningOrchestrator } from "../learning/orchestrator.js";
 import { logger } from "../logger.js";
 import { MemoryStore } from "../memory/store.js";
 import { type OpencodeRuntimeAdapter } from "../runtime/opencode.js";
@@ -34,6 +35,7 @@ export const buildChatRouter = (
   sessionBridge: ChatSessionBridge,
   runtime: OpencodeRuntimeAdapter,
   memoryStore: MemoryStore,
+  learningOrchestrator: LearningOrchestrator,
 ) => {
   const chatRouter = Router();
 
@@ -229,6 +231,11 @@ export const buildChatRouter = (
         });
 
         if (!streamResult.aborted && !streamResult.failed) {
+          const messages = await runtime.messages(binding.sessionId, 60);
+          const assistantMessage = [...messages]
+            .reverse()
+            .find((message) => message.info.role === "assistant");
+          const assistantText = collectTextContent(assistantMessage?.parts ?? []);
           const existingSessionTitle = sessionBridge.getSessionTitle(binding.sessionId);
           let sessionTitle = existingSessionTitle;
           const shouldGenerateTitle =
@@ -251,6 +258,21 @@ export const buildChatRouter = (
               );
             }
           }
+          if (assistantText) {
+            void learningOrchestrator.onTurnCompleted({
+              assistantMessage: assistantText,
+              model: parsed.data.model,
+              requestContext,
+              sessionId: binding.sessionId,
+              toolCallCount: streamResult.toolCallCount,
+              userMessage: parsed.data.message,
+            }).catch((error) => {
+              logger.warn(
+                { err: error, sessionId: binding.sessionId },
+                "post-turn learning failed",
+              );
+            });
+          }
         }
       } finally {
         streamClosed = true;
@@ -385,7 +407,11 @@ const streamPromptResponse = async ({
   projectId,
   signal,
   write,
-}: StreamPromptOptions): Promise<{ aborted: boolean; failed: boolean }> => {
+}: StreamPromptOptions): Promise<{
+  aborted: boolean;
+  failed: boolean;
+  toolCallCount: number;
+}> => {
   const eventStream = await runtime.subscribeEvents();
   const iterator = eventStream[Symbol.asyncIterator]();
   const requestStartedAt = Date.now();
@@ -396,6 +422,7 @@ const streamPromptResponse = async ({
   const pendingPartTextDeltas = new Map<string, string[]>();
   const reasoningDeltas = new Map<string, string[]>();
   let emittedText = false;
+  let toolCallCount = 0;
   let done = false;
   let promptSettled = false;
   let aborted = signal?.aborted ?? false;
@@ -624,6 +651,7 @@ const streamPromptResponse = async ({
             (hasToolParams(toolParams) || isToolFinalState)
           ) {
             emittedToolParts.add(part.id);
+            toolCallCount += 1;
             if (!reason) {
               logger.warn(
                 {
@@ -704,11 +732,11 @@ const streamPromptResponse = async ({
       await runtime.abortSession(opencodeSessionId).catch((error) => {
         logger.warn({ sessionId: opencodeSessionId, err: error }, "failed to abort opencode session");
       });
-      return { aborted: true, failed: false };
+      return { aborted: true, failed: false, toolCallCount };
     }
 
     if (failed) {
-      return { aborted: false, failed: true };
+      return { aborted: false, failed: true, toolCallCount };
     }
 
     await promptPromise;
@@ -735,7 +763,7 @@ const streamPromptResponse = async ({
       session_id: clientSessionId,
       total_duration_ms: Math.max(0, Date.now() - requestStartedAt),
     });
-    return { aborted: false, failed: false };
+    return { aborted: false, failed: false, toolCallCount };
   } finally {
     await iterator.return?.(undefined);
     if (!promptSettled) {
@@ -1003,6 +1031,7 @@ const toolLabels: Record<string, string> = {
   dynamic_http_call: "后端数据查询",
   fetch_result_ref: "结果引用回读",
   memory_manager: "记忆写入",
+  session_search: "历史会话检索",
   skill_manager: "流程沉淀",
   locate_features: "地图定位",
   view_history: "历史数据面板",