新增 RAG 引用展示模式:支持技能结果按编号引用/列表/表格渲染

- 前端新增 skill-display 适配层(runtime/display-adapter)与可视化适配面板,
  支持从技能返回 JSON 自动识别字段并配置 citation/list/table/card 展示
- 正文 [[N]] 编号渲染为可点击徽章,点击不跳 URL 而是定位到右侧参考文献面板;
  参考卡片样式重做(圆形编号、悬停高亮、过滤掉 "result" 占位类型)
- bash 工具调用按命令中的 skills/{public,custom}/<name>/ 路径反查展示适配,
  解决调用名为 "bash" 时无法匹配到具体技能的问题
- 工具结果 JSON 解析放宽:能从 stderr/exit code 噪声尾巴里抢救出 JSON 主体
- 展示适配自动识别接入 LLM:读 SKILL.md 让模型推断真实返回结构,失败回退 mock
- 展示适配面板修复保存回显:保存后表单跟随服务端最新值刷新,样例文本不再被抹掉
- 设置页加 "RAG 引用模式" 开关(默认开),关联 lead-agent prompt 注入引用规则

offline-backend-20260512/backend/packages/harness/deerflow/agents/lead_agent/agent.py

@@ -281,9 +281,9 @@ def _build_middlewares(
     middlewares.append(TitleMiddleware(app_config=resolved_app_config))
 
     # Add MemoryMiddleware (after TitleMiddleware) — skip in bootstrap mode (agent creation flow)
-    memory_injection_enabled = cfg.get("memory_injection_enabled", True)
-    if not is_bootstrap:
-        middlewares.append(MemoryMiddleware(agent_name=agent_name, memory_config=resolved_app_config.memory, injection_enabled=memory_injection_enabled))
+    memory_injection_enabled = cfg.get("memory_injection_enabled", True)
+    if not is_bootstrap:
+        middlewares.append(MemoryMiddleware(agent_name=agent_name, memory_config=resolved_app_config.memory, injection_enabled=memory_injection_enabled))
 
     # Add ViewImageMiddleware only if the current model supports vision.
     # Use the resolved runtime model_name from make_lead_agent to avoid stale config values.
@@ -338,9 +338,10 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
     is_plan_mode = cfg.get("is_plan_mode", False)
     subagent_enabled = cfg.get("subagent_enabled", False)
     max_concurrent_subagents = cfg.get("max_concurrent_subagents", 3)
-    is_bootstrap = cfg.get("is_bootstrap", False)
-    memory_injection_enabled = bool(cfg.get("memory_injection_enabled", True))
-    writing_mode = bool(cfg.get("writing_mode", False))
+    is_bootstrap = cfg.get("is_bootstrap", False)
+    memory_injection_enabled = bool(cfg.get("memory_injection_enabled", True))
+    rag_mode_enabled = bool(cfg.get("rag_mode_enabled", False))
+    writing_mode = bool(cfg.get("writing_mode", False))
     writing_artifact_path = cfg.get("writing_artifact_path") if writing_mode else None
     if not isinstance(writing_artifact_path, str) or not writing_artifact_path.strip():
         writing_artifact_path = None
@@ -427,8 +428,9 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
                 available_skills=None,
                 is_bootstrap=True,
                 app_config=resolved_app_config,
-                memory_injection_enabled=memory_injection_enabled,
-            ),
+                memory_injection_enabled=memory_injection_enabled,
+                rag_mode_enabled=rag_mode_enabled,
+            ),
             state_schema=ThreadState,
         )
 
@@ -452,7 +454,8 @@ def _make_lead_agent(config: RunnableConfig, *, app_config: AppConfig):
             writing_artifact_path=writing_artifact_path,
             available_skills=(set(agent_config.skills or []) if agent_config else None),
             app_config=resolved_app_config,
-            memory_injection_enabled=memory_injection_enabled,
-        ),
+            memory_injection_enabled=memory_injection_enabled,
+            rag_mode_enabled=rag_mode_enabled,
+        ),
         state_schema=ThreadState,
     )