chore: T-P-1 工作区收敛——并行会话成果与历史未入库文件整理入库

- 入库历史遗漏源码/测试：router_system 9 模块（agent/executors/inference/knowledge/
  memory/planner/skills/trace）、tests 11 个测试文件、config/knowledge 领域知识
- 入库根目录方案文档（v2/v3/可行性×2）、references 文献（arxiv 14-18/cnki_open/
  参考文献清单）、research 论文素材（routerarena/paper/中文文献 PDF）
- 前端构建产物刷新（新 hash）；webapp 误写文档删除
- gitignore 增补：deepseek-harness、research/_refs、.mimosa/.zcode、网关日志/pid、
  临时调试脚本、tests/e2e/node_modules、AI代理功能开发/prefix
- 基线确认：318 passed

router_system/inference.py

@@ -0,0 +1,93 @@
+"""前向链推理机：知识库规则驱动的工作记忆演化（专家系统推理核心，零依赖）。
+
+流程（经典前向链 forward chaining）：
+1. 初始化黑板：写入领域/难度/置信度等事实
+2. 循环：在领域内匹配规则（未触发过的）→ 按优先级执行
+   - 命中即记录轨迹 rule:<id>@<priority>
+   - 规则带 output 模板 → 渲染后写入黑板章节（部分解）
+   - 规则带 actions → 执行动作（写事实/写章节）
+3. 终止：无新规则可触发 / 达到步数上限（防死循环）
+
+确定性保证：规则匹配基于子串包含，无随机性；同输入 → 同轨迹。
+"""
+from __future__ import annotations
+
+from typing import Any, Dict, List, Optional
+
+from .knowledge import KnowledgeBase, Rule
+from .memory import WorkingMemory
+
+
+def render_template(template: str, query: str, facts: Dict[str, Any]) -> str:
+    """渲染输出模板：替换 {query} 与 {facts.<key>} 占位符；缺失以 [未提供] 占位，不抛异常。"""
+    out = template.replace("{query}", query)
+    for key, value in facts.items():
+        out = out.replace(f"{{facts.{key}}}", str(value))
+    # 剩余占位符兜底
+    while "{" in out and "}" in out:
+        start = out.find("{")
+        end = out.find("}", start)
+        if end == -1:
+            break
+        out = out[:start] + "[未提供]" + out[end + 1:]
+    return out
+
+
+class InferenceEngine:
+    """前向链推理机。"""
+
+    def __init__(self, kb: KnowledgeBase, max_steps: int = 20):
+        self.kb = kb
+        self.max_steps = max_steps
+
+    # ---------------------------------------------------------------
+    def initialize(self, query: str, domain: str, difficulty: str,
+                   confidence: float, memory: WorkingMemory) -> None:
+        """把分类结果写入黑板（事实初始化）。"""
+        memory.write_fact("query", query)
+        memory.write_fact("domain", domain)
+        memory.write_fact("difficulty", difficulty)
+        memory.write_fact("confidence", round(confidence, 4))
+        memory.add_trace(f"init:domain={domain},difficulty={difficulty},conf={confidence:.2f}")
+
+    # ---------------------------------------------------------------
+    def run(self, query: str, domain: str, memory: WorkingMemory,
+            max_steps: Optional[int] = None) -> List[str]:
+        """前向链主循环。返回触发规则 id 列表（按触发顺序）。"""
+        steps = max_steps or self.max_steps
+        fired: List[str] = []
+        for _ in range(steps):
+            rules = self.kb.match(query, domain=domain)
+            # 选第一个"未触发过"的规则
+            target: Optional[Rule] = None
+            for r in rules:
+                if r.id not in fired:
+                    target = r
+                    break
+            if target is None:
+                break  # 无新规则可触发 → 终止
+            fired.append(target.id)
+            self._fire(target, query, memory)
+        return fired
+
+    # ---------------------------------------------------------------
+    def _fire(self, rule: Rule, query: str, memory: WorkingMemory) -> None:
+        """执行一条规则：记录轨迹 + 写事实 + 产出章节。"""
+        memory.add_trace(f"rule:{rule.id}@{rule.priority}")
+        # 规则动作
+        for action in rule.actions:
+            self._apply_action(action, rule, query, memory)
+        # 规则输出模板 → 章节
+        if rule.output:
+            text = render_template(rule.output, query, memory.facts)
+            memory.write_section(rule.id, text)
+
+    def _apply_action(self, action: str, rule: Rule, query: str,
+                      memory: WorkingMemory) -> None:
+        """动作格式：write_fact:key=value（value 支持 {query} 占位）。"""
+        if action.startswith("write_fact:"):
+            kv = action[len("write_fact:"):]
+            key, _, value = kv.partition("=")
+            value = value.replace("{query}", query)
+            memory.write_fact(key.strip(), value.strip(), rule_id=rule.id)
+        # 其他动作类型暂不实现（保留扩展位）