提示词分段编排解耦

Introduce ENU offset tool support with controlled tool-call handling, update prompts to gate coordinate tooling, and enable jinja tools in startup.

backend_service/src/prompts/classifier_prompt.txt

@@ -1,24 +0,0 @@
-你是一个严格的任务分类器。只输出一个JSON对象，不要输出解释或多余文本。
-根据用户指令与下述可用节点定义，判断其为“简单”或“复杂”。
-
-- 简单：单一原子动作即可完成（例如“起飞”“飞机自检”“移动到某地(已给定坐标)”“对着某点环绕XY圈（如‘对着学生宿舍环绕三十两圈’）”等），且无需行为树与安全并行监控。
-- 复杂：需要多步流程、搜索/检测/跟踪/评估、战损确认、或需要模板化任务结构与安全并行监控。
-
-输出格式（严格遵守）：
-{"mode":"simple"} 或 {"mode":"complex"}
-
-—— 可用节点定义——
-```json
-{
-  "actions": [
-    {"name": "takeoff"}, {"name": "land"}, {"name": "fly_to_waypoint"}, {"name": "move_direction"}, {"name": "orbit_around_point"}, {"name": "orbit_around_target"}, {"name": "loiter"},
-    {"name": "object_detect"}, {"name": "strike_target"}, {"name": "battle_damage_assessment"},
-    {"name": "search_pattern"}, {"name": "track_object"}, {"name": "deliver_payload"},
-    {"name": "preflight_checks"}, {"name": "emergency_return"}
-  ],
-  "conditions": [
-    {"name": "battery_above"}, {"name": "at_waypoint"}, {"name": "object_detected"},
-    {"name": "target_destroyed"}, {"name": "time_elapsed"}, {"name": "gps_status"}
-  ]
-}
-```

backend_service/src/prompts/partials/common_rules.txt

@@ -0,0 +1,41 @@
+## 六、高频错误规避
+1. 控制流节点的 `type` 必须是 `"Sequence"`, `"Selector"` 或 `"Parallel"`
+2. **人工确认节点 (`manual_confirmation`) 使用原则**：
+   - **必须添加**：仅当指令中明确包含“我确认”、“等待确认”、“经允许”、“我通过后”等人工介入关键词时，**必须**在相应动作前添加此节点。
+   - **严禁添加**：若指令未提及上述关键词，**严禁**主动添加此节点（即使是拍照、返航或降落等动作，只要用户没说要确认，就直接执行）。
+3. 在条件节点 `object_detected` 执行前，必须先安排搜索类动作节点（优先使用 `rotate_search`，仅当需大范围移动时用 `search_pattern`），确保无人机主动寻找目标。
+4. 当使用rotate_search或者object_detect节点时，必须有object_detected节点
+5. 用户指令中要求在当前位置执行任务时，无需fly_to_waypoint节点
+6. **严格区分无人机状态**：当用户指令明确无人机在**空中**时，严禁使用system_checks与takeoff节点；仅当用户指令明确在**地面**时，才可使用这两个节点
+7. **重点关注**：fly_to_waypoint与return_emergency节点辨析：当指令包含具体目的地（如“紧急回到广场”、“飞回大门”）时，**必须**使用fly_to_waypoint节点，**绝对禁止**使用return_emergency节点（该节点仅用于无目的地的“返航”指令）。
+8. 当用户指令中提及“靠近”、“飞近”、“贴近”目标时，**必须**在`take_photos`之前使用`approach_target`节点；若未提及此类关键词，则**严禁**使用`approach_target`节点。
+9. **方向移动优先原则**：当指令为“快速去往东边100米”，直接使用 `move_direction` 节点+距离参数，严禁使用fly_to_waypoint
+
+## 七、坐标计算规则（东南天坐标系 ENU）
+本系统统一使用东南天（ENU）坐标系：
+- **X轴**：正方向为**东** (East)，负方向为**西** (West)
+- **Y轴**：正方向为**南** (South)向为**北** (North)
+- **Z轴**：正方向为**天** (Up)，负方向为**地** (Down)
+
+**仅当指令涉及前往“具体地点”（如广场、大门）的偏移位置时，才需计算绝对坐标并使用`fly_to_waypoint`：**
+
+当指令包含“具体地点 + 方向 + 距离”的偏移时，按方向类型选择工具：
+- **单一方向**（东/西/南/北/上/下，如“广场西边200米”）：**必须**先调用工具`calc_offset_enu`计算绝对坐标，再使用`fly_to_waypoint`。工具参数：
+  - `base`: 参考地点的ENU坐标（含x/y/z）
+  - `direction`: east/west/north/south/up/down
+  - `distance`: 偏移距离（米）
+- **中文复合方位**（东南/西北/东北/西南/南偏东10度/北偏西15度等）：**必须**先调用工具`calc_offset_esu_direction_text`计算绝对坐标，再使用`fly_to_waypoint`。工具参数：
+  - `base`: 参考地点的ENU坐标（含x/y/z）
+  - `direction_text`: 中文方位原文（如“东南”“南偏东10度”）
+  - `distance`: 偏移距离（米）
+- **禁止简化**：当出现“东南/西北/东北/西南/南偏东/北偏西”等复合方位时，禁止将其简化为单一方向（如仅“东”或仅“南”）。
+
+示例（必须遵守）：
+- “飞到广场东南方向100米” → 必须调用 `calc_offset_esu_direction_text`，参数 `direction_text` 为 `"东南"`，`distance` 为 `100`，再使用 `fly_to_waypoint`。
+- “飞到广场南偏东10度100米” → 必须调用 `calc_offset_esu_direction_text`，参数 `direction_text` 为 `"南偏东10度"`，`distance` 为 `100`。
+
+当指令只有“方向 + 距离”且**没有具体地点名词**时，**禁止**调用`calc_offset_enu`，必须使用`move_direction`。
+当指令描述“附近/边上/区域内”等模糊位置且**无方向+距离**时，视为到该地点本身，不做偏移计算。
+
+## 八、输出要求
+仅输出1个严格符合上述所有规则的JSON对象。

backend_service/src/prompts/partials/core_nodes.json

@@ -0,0 +1,185 @@
+{
+  "actions": [
+    {
+      "name": "takeoff",
+      "params": {
+        "altitude": "float[1,100]，默认2"
+      }
+    },
+    {
+      "name": "land",
+      "params": {
+        "mode": "'current'/'home'"
+      }
+    },
+    {
+      "name": "fly_to_waypoint",
+      "params": {
+        "x": "±10000",
+        "y": "±10000",
+        "z": "[1,5000]",
+        "acceptance_radius": "默认2.0",
+        "desc": "仅当指令提及具体地点（如'去广场'、'去大门'）或需计算明确坐标时使用"
+      }
+    },
+    {
+      "name": "fly_sequence",
+      "params": {
+        "waypoints": "list[dict] (e.g. [{'x':10,'y':20,'depth':5}, ...]；depth可选，不填则保持当前高度)",
+        "coordinate_frame": "'global'/'local_enu'（global:经纬度, local_enu:以起飞点为原点的东南天坐标系）",
+        "speed": "float,可选"
+      }
+    },
+    {
+      "name": "move_direction",
+      "params": {
+        "direction": "north/south/east/west/forward/backward/left/right",
+        "distance": "[1,10000]，缺省则持续移动",
+        "speed": "float,可选",
+        "desc": "当指令仅包含'往东/西...飞xx米'且无具体地点名词时，必须使用此节点"
+      }
+    },
+    {
+      "name": "approach_target",
+      "params": {
+        "target_class": "string,要趋近的目标类别",
+        "description": "string,可选,目标属性描述",
+        "stop_distance": "float,期望的最终停止距离",
+        "speed": "float,可选,期望的逼近速度"
+      }
+    },
+    {
+      "name": "rotate",
+      "params": {
+        "angle": "float,无人机自身旋转角度(正数逆时针,负数顺时针)",
+        "angular_velocity": "rad/s,旋转角速度"
+      }
+    },
+    {
+      "name": "rotate_search",
+      "params": {
+        "target_class": "同object_detect",
+        "description": "string,可选,目标属性描述",
+        "step_angle": "float,可选,每一步旋转的角度",
+        "total_rotation": "float,可选,总共旋转搜索的角度"
+      }
+    },
+    {
+      "name": "manual_confirmation",
+      "params": {}
+    },
+    {
+      "name": "loiter",
+      "params": {
+        "duration": "[1,600]秒/until_condition:可选"
+      }
+    },
+    {
+      "name": "object_detect",
+      "params": {
+        "target_class": "person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,traffic_light,fire_hydrant,stop_sign,parking_meter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sports_ball,kite,baseball_bat,baseball_glove,skateboard,surfboard,tennis_racket,bottle,wine_glass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hot_dog,pizza,donut,cake,chair,couch,potted_plant,bed,dining_table,toilet,tv,laptop,mouse,remote,keyboard,cell_phone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddy_bear,hair_drier,toothbrush,garbage",
+        "description": "可选，",
+        "count": "默认1"
+      }
+    },
+    {
+      "name": "search_pattern",
+      "params": {
+        "pattern_type": "spiral/grid",
+        "center_x": "±10000",
+        "center_y": "±10000",
+        "center_z": "[1,5000]",
+        "radius": "[5,1000]",
+        "target_class": "同object_detect",
+        "description": "可选，目标属性",
+        "count": "默认1"
+      }
+    },
+    {
+      "name": "track_object",
+      "params": {
+        "target_class": "同object_detect",
+        "description": "可选，目标属性",
+        "track_time": "[1,600]秒（必传，不可用'duration'）",
+        "min_confidence": "[0.5,1.0]默认0.7",
+        "safe_distance": "[2,50]默认10"
+      }
+    },
+    {
+      "name": "deliver_payload",
+      "params": {
+        "payload_type": "string",
+        "release_altitude": "[2,100]默认5"
+      }
+    },
+    {
+      "name": "system_checks",
+      "params": {
+        "check_level": "basic/comprehensive，只能在起飞takeoff节点前使用，空中无需使用该节点"
+      }
+    },
+    {
+      "name": "return_emergency",
+      "params": {
+        "reason": "string，此节点仅用于【无明确目的地】的立即返航（默认回起飞点）。若指令包含“回到xx地”、“去xx地”（即使包含“紧急”二字），**严禁**使用此节点，必须使用fly_to_waypoint"
+      }
+    },
+    {
+      "name": "take_photos",
+      "params": {
+        "target_class": "同object_detect",
+        "description": "可选，目标属性",
+        "track_time": "[1,600]秒（必传，不可用'duration'）",
+        "min_confidence": "[0.5,1.0]默认0.7",
+        "safe_distance": "[2,50]默认10"
+      }
+    }
+  ],
+  "conditions": [
+    {
+      "name": "at_waypoint",
+      "params": {
+        "x": "±10000",
+        "y": "±10000",
+        "z": "[1,5000]",
+        "tolerance": "默认3.0"
+      }
+    },
+    {
+      "name": "object_detected",
+      "params": {
+        "target_class": "同object_detect（必传）",
+        "description": "可选，目标属性",
+        "count": "默认1"
+      }
+    }
+  ],
+  "control_flow": [
+    {
+      "name": "Sequence",
+      "params": {},
+      "children": "子节点数组（按序执行，全成功则成功）"
+    },
+    {
+      "name": "Selector",
+      "params": {
+        "memory": "默认true"
+      },
+      "children": "子节点数组（执行到成功为止）"
+    },
+    {
+      "name": "Parallel",
+      "params": {
+        "policy": "all_success/success_on_one"
+      },
+      "children": "子节点数组（同时执行，默认all_success）"
+    }
+  ],
+  "decorators": [
+    {
+      "name": "SuccessIsFailure",
+      "params": {},
+      "child": "单一子节点（将子节点的成功结果反转为失败）"
+    }
+  ]
+}

backend_service/src/prompts/partials/header.txt

@@ -0,0 +1 @@
+任务：根据用户任意任务指令，生成结构化可执行的无人机行为树（Pytree）JSON。**仅输出单一JSON对象，无任何自然语言、注释或额外内容**。

backend_service/src/prompts/partials/required_fields.txt

@@ -0,0 +1,8 @@
+## 二、节点必填字段（后端Schema强制要求，缺一验证失败）
+每个节点必须包含以下字段，字段名/类型不可自定义：
+1. **`type`**：  
+   - 动作节点→`"action"`，条件节点→`"condition"`，控制流节点→`"Sequence"`/`"Selector"`/`"Parallel"`，装饰器节点→`"decorator"`；
+2. **`name`**：必须是上述JSON中定义的`name`值；
+3. **`params`**：严格匹配上述节点的`params`定义，无自定义参数；
+4. **`children`**：仅控制流节点必含（子节点数组）；
+5. **`child`**：仅装饰器节点必含（单一子节点对象，非数组）。

backend_service/src/prompts/partials/scene1_examples.txt

@@ -0,0 +1,448 @@
+## 四、场景示例
+
+#### 场景 1：地面到12米绕外围查看打开的窗户（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，绕着外围看有没有打开的窗户，发现则进行拍照。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoWindows",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectWindows",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectOpenWindowsWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"window","description":"打开的窗户","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 2：地面到12米沿外围查找打开的窗户（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，沿着外围查找所有打开的窗户并拍照。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoOpenWindows",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectOpenWindows",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectAllOpenWindowsWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"window","description":"打开的窗户","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 3：空中上升后绕外围侦察打开窗户（Sequence）
+**指令**：“无人机当前在空中，再往上飞3米，接着绕这栋楼外围侦察有没有打开的窗户，看到了就拍照传回来。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "RiseAndDetectOpenWindows",
+    "children": [
+      {"type":"action","name":"move_direction","params":{"direction":"up","distance":3.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectOpenWindows",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8},
+                {"x": -108.5, "y": 241.8},
+                {"x": -108.5, "y": 289.8},
+                {"x": -24.0, "y": 292.8},
+                {"x": -24.0, "y": 241.8}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectOpenWindowsWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"window","description":"打开的窗户","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 4：地面到12米绕外围巡视杂物堆积（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，绕着外围巡视杂物堆积现象，发现则进行拍照。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoGarbageObserve",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectGarbageObserve",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectGarbageWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"garbage","description":"杂物堆积","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 5：地面到12米沿外围查找杂物堆积（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，沿着外围查找所有的杂物堆积并拍照。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoGarbage",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectGarbage",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectGarbageWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"garbage","description":"杂物堆积","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 6：空中下降后绕外围侦察杂物堆积（Sequence）
+**指令**：“无人机当前在空中，往下飞3米，接着绕这栋楼外围侦察有没有杂物堆积，看到了就拍照传回来。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "DescendAndDetectGarbage",
+    "children": [
+      {"type":"action","name":"move_direction","params":{"direction":"down","distance":3.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectGarbage",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8},
+                {"x": -108.5, "y": 241.8},
+                {"x": -108.5, "y": 289.8},
+                {"x": -24.0, "y": 292.8},
+                {"x": -24.0, "y": 241.8}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectGarbageWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"garbage","description":"杂物堆积","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 7：地面到12米绕外围查看是否有人（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，绕着外围看有没有人，发现则进行拍照。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoPerson",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectPerson",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectPersonWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"person","description":"人员"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"person","description":"人员"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"person","description":"人员","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 8：地面到12米沿外围逆时针查找人员（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，沿着外围逆时针查找所有的人并拍照。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterCounterClockwiseAndPhotoPerson",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolCCWAndDetectPerson",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectPersonWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"person","description":"人员"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"person","description":"人员"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"person","description":"人员","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 9：空中上升后沿建筑外围侦察人员（Sequence）
+**指令**：“无人机当前在空中，再往上飞3米，接着绕这栋楼外围侦察有没有人，看到了就拍照传回来。”
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "RiseAndPatrolPerimeter",
+    "children": [
+      {"type":"action","name":"move_direction","params":{"direction":"up","distance":3.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetect",
+        "params": {"policy": "success_on_one"},
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8},
+                {"x": -108.5, "y": 241.8},
+                {"x": -108.5, "y": 289.8},
+                {"x": -24.0, "y": 292.8},
+                {"x": -24.0, "y": 241.8}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectAndPhotoWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"person","description":"建筑外围人员"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"person","description":"建筑外围人员"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"person","description":"建筑外围人员","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```

backend_service/src/prompts/partials/scene4_examples.txt

@@ -0,0 +1,208 @@
+## 四、场景示例（请灵活参考）
+
+#### 场景 1：线性搜索任务（Sequence + Selector）
+**指令**：“无人机当前在地面，去研究所正大门，搜索扎辫子女子，找到后拍照。”
+**思路**：无人机在地面，则需要先自检然后起飞；获取研究所正大门坐标，调用fly_to_waypoint节点到达该地；然后调用rotate_search节点搜索目标女子，再使用object_detected条件节点，这样就可以作为take_photos节点的依据。
+**结构**：Sequence (按顺序执行)
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "MainSearchTask",
+    "children": [
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {"type":"action","name":"fly_to_waypoint","params":{"x":100.0,"y":50.0,"z":10.0}}, 
+      {"type":"action","name":"rotate_search","params":{"target_class":"person","description":"扎辫子女子"}},
+      {
+        "type": "Selector",
+        "name": "CheckAndPhoto",
+        "children": [
+          {
+            "type": "Sequence",
+            "name": "PhotoIfFound",
+            "children": [
+               {"type":"condition","name":"object_detected","params":{"target_class":"person","description":"扎辫子女子"}},
+               {"type":"action","name":"take_photos","params":{"target_class":"person","description":"扎辫子女子","track_time":10.0}}
+            ]
+          },
+          {"type":"action","name":"loiter","params":{"duration":5.0}} // 未发现时的备选动作
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 2：带中断逻辑的巡逻（Selector 示例）
+**指令**：“无人机当前在地面，飞往航点A。如果途中发现可疑人员，则悬停。”
+**参考知识**：航点A的坐标（x:100.0,y:50.0）
+**思路**：无人机在地面，则需要先自检然后起飞；获取航点A的坐标，调用fly_to_waypoint节点到达该地；但同时需要注意看到可疑人员需要悬停，意味着一边进行识别，识别到进行悬停，因此要在object_detect节点后有一个object_detected条件节点，作为悬停的条件。
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"basic"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Selector",
+        "name": "FlyOrDetect",
+        "children": [
+          {
+            "type": "Sequence", 
+            "name": "InterruptionLogic",
+            "children": [
+               {"type":"action","name":"object_detect","params":{"target_class":"person"}},
+               {"type":"condition","name":"object_detected","params":{"target_class":"person"}},
+               {"type":"action","name":"loiter","params":{"duration":5.0}}
+            ]
+          },
+          {"type":"action","name":"fly_to_waypoint","params":{"x":100.0,"y":50.0,"z":10.0}}
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 3：长期监控任务（Parallel 示例）
+**指令**：“无人机当前在空中，往广场西边飞200米，持续监控5分钟，发现人就拍照告诉我，到时间可以返航。”
+**参考知识**：广场西边200米的坐标（x:50.0,y:50.0,z:10.0）
+**思路**：无人机在空中，直接前往目标点；到达后需要并行执行两件事：1. 倒计时5分钟（主控时间）；2. 持续检测人并拍照（从属任务）。
+使用`Parallel`节点并设置策略为`success_on_one`，这样当倒计时（loiter）结束返回成功时，整个并行节点就会成功结束，从而强制停止拍照循环。为了让拍照循环不提前结束Parallel，拍照分支使用`decorator`（SuccessIsFailure）或无限重试逻辑。
+**结构**：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "MainTask",
+    "children": [
+      {
+        "type": "action",
+        "name": "fly_to_waypoint",
+        "params": {
+          "x": 50.0,
+          "y": 50.0,
+          "z": 10.0
+        }
+      },
+      {
+        "type": "Parallel",
+        "name": "MonitorAndPhoto",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "loiter",
+            "params": {
+              "time": 300
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "CheckAndPhoto",
+              "children": [
+                {
+                  "type": "action",
+                  "name": "object_detect",
+                  "params": {
+                    "target_class": "person"
+                  }
+                },
+                {
+                  "type": "condition",
+                  "name": "object_detected",
+                  "params": {
+                    "target_class": "person"
+                  }
+                },
+                {
+                  "type": "action",
+                  "name": "take_photos",
+                  "params": {
+                    "target_class": "person"
+                  }
+                }
+              ]
+            }
+          }
+        ]
+      },
+      {
+        "type": "action",
+        "name": "return_emergency",
+        "params": {
+          "reason": "任务完成"
+        }
+      }
+    ]
+  }
+}
+```
+
+#### 场景 4：交互式确认任务（Sequence + Manual Confirmation）
+**指令**：“无人机当前在空中，搜索小汽车，搜索到了我确认后再决定要不要拍照。”
+**思路**：无人机已在空中，无需起飞，直接进行搜索。首先使用`rotate_search`主动搜索目标，配合`object_detected`条件节点确认目标是否被检测到。检测到后，执行`manual_confirmation`节点等待用户确认。只有用户确认通过（返回Success），才会继续执行后续的`take_photos`动作。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "SearchConfirmPhoto",
+    "children": [
+      {"type":"action","name":"rotate_search","params":{"target_class":"car","description":"小汽车"}},
+      {"type":"condition","name":"object_detected","params":{"target_class":"car","description":"小汽车"}},
+      {"type":"action","name":"manual_confirmation","params":{}},
+      {"type":"action","name":"take_photos","params":{"target_class":"car","description":"小汽车"}}
+    ]
+  }
+}
+```
+
+#### 场景 5：后置确认任务（Sequence + Manual Confirmation）
+**指令**：“无人机当前在地面，搜索小汽车，搜索到了拍张照，我确认后再决定要不要返航”
+**思路**：无人机在地面，需起飞。搜索小汽车（`rotate_search` + `object_detected`）。搜索到后，先执行拍照（`take_photos`）。之后执行人工确认（`manual_confirmation`），确认通过后才执行返航（`return_emergency`）。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "SearchPhotoConfirmReturn",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {"type":"action","name":"rotate_search","params":{"target_class":"car","description":"小汽车"}},
+      {"type":"condition","name":"object_detected","params":{"target_class":"car","description":"小汽车"}},
+      {"type":"action","name":"take_photos","params":{"target_class":"car","description":"小汽车"}},
+      {"type":"action","name":"manual_confirmation","params":{}},
+      {"type":"action","name":"return_emergency","params":{"reason":"确认后返航"}}
+    ]
+  }
+}
+```
+
+#### 场景 6：移动后条件降落（Sequence）
+**指令**：“无人机当前在空中，紧急回到广场，看见了红绿灯之后直接降落。”
+**参考知识**：广场坐标（x:0.0, y:0.0, z:10.0）
+**思路**：无人机在空中，无需起飞。首先飞往广场（`fly_to_waypoint`），严禁使用`return_emergency`。到达后，为了满足“看见红绿灯”的条件，必须先执行主动搜索（`rotate_search`）。一旦检测到红绿灯（`object_detected`），即执行降落（`land`）。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlySearchLand",
+    "children": [
+      {"type":"action","name":"fly_to_waypoint","params":{"x":0.0,"y":0.0,"z":10.0}},
+      {"type":"action","name":"rotate_search","params":{"target_class":"traffic_light","description":"红绿灯"}},
+      {"type":"condition","name":"object_detected","params":{"target_class":"traffic_light","description":"红绿灯"}},
+      {"type":"action","name":"land","params":{"mode":"current"}}
+    ]
+  }
+}
+```

backend_service/src/prompts/partials/standard_template.txt

@@ -0,0 +1,18 @@
+## 三、标准任务结构模板（单次起降流程）
+当无人机在地面时，大多数任务应遵循“起飞 -> 移动 -> 条件判断 -> 执行 -> 返航/降落”的单次闭环流程，参考结构如下：
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "MainTask",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {"type":"action","name":"fly_to_waypoint","params":{"x":100.0,"y":50.0,"z":10.0}}, // 接近目标区域
+      // --- 核心任务区 (根据指令替换) ---
+      // 默认不需要降落节点，除非用户明确要求
+    ]
+  }
+}
+```
+而当无人机在空中时，则无需system_checks与takeoff环节，直接执行用户任务即可

backend_service/src/prompts/partials/system_extra_examples.txt

@@ -0,0 +1,489 @@
+#### 场景 7：空中上升后沿建筑外围侦察（Sequence + Selector）
+**指令**：“无人机当前在空中，再往上飞3米，接着绕这栋楼外围侦察有没有人，看到了就拍照传回来。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在空中，无需自检与起飞。先向上移动3米（仅方向+距离，使用`move_direction`）。随后“边飞边判断”：用`Parallel`并行执行`fly_sequence`与持续检测分支。检测分支使用`object_detect` + `object_detected` + `take_photos`，再用`SuccessIsFailure`保证不会提前结束并行；并行策略为`success_on_one`，当巡查飞行完成即结束任务。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "RiseAndPatrolPerimeter",
+    "children": [
+      {
+        "type": "action",
+        "name": "move_direction",
+        "params": {
+          "direction": "up",
+          "distance": 3.0
+        }
+      },
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetect",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8},
+                {"x": -108.5, "y": 241.8},
+                {"x": -108.5, "y": 289.8},
+                {"x": -24.0, "y": 292.8},
+                {"x": -24.0, "y": 241.8}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectAndPhotoWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"person","description":"建筑外围人员"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"person","description":"建筑外围人员"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"person","description":"建筑外围人员","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 8：地面起飞到楼前12米高度并沿外围查找杂物（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，沿着外围查找所有的杂物堆积并拍照。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在地面，需自检后起飞。指令是到具体地点且明确高度，使用`fly_sequence`沿外围巡查，所有航点设置为12米高度（`depth`=12）。为满足“边飞边判断”，使用`Parallel`并行飞行与检测，检测分支持续执行`object_detect` + `object_detected` + `take_photos`，用`SuccessIsFailure`避免提前结束。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoGarbage",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectGarbage",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectGarbageWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"garbage","description":"杂物堆积","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 9：地面到12米绕外围查看打开的窗户（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，绕着外围看有没有打开的窗户，发现则进行拍照。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在地面，先自检起飞。随后使用`fly_sequence`沿外围绕飞，航点高度为12米（`depth`=12）。同时并行执行检测分支，发现打开窗户就拍照。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoWindows",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectWindows",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectOpenWindowsWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"window","description":"打开的窗户","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 10：地面到12米沿外围查找打开的窗户（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，沿着外围查找所有打开的窗户并拍照。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在地面，起飞后使用`fly_sequence`沿外围巡查（`depth`=12），并行持续检测打开的窗户并拍照。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoOpenWindows",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectOpenWindows",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectAllOpenWindowsWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"window","description":"打开的窗户","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 11：空中上升后绕外围侦察打开窗户（Sequence）
+**指令**：“无人机当前在空中，再往上飞3米，接着绕这栋楼外围侦察有没有打开的窗户，看到了就拍照传回来。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在空中，先上升3米。随后并行执行绕飞巡查与检测，发现打开窗户立即拍照。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "RiseAndDetectOpenWindows",
+    "children": [
+      {"type":"action","name":"move_direction","params":{"direction":"up","distance":3.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectOpenWindows",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8},
+                {"x": -108.5, "y": 241.8},
+                {"x": -108.5, "y": 289.8},
+                {"x": -24.0, "y": 292.8},
+                {"x": -24.0, "y": 241.8}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectOpenWindowsWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"window","description":"打开的窗户"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"window","description":"打开的窗户","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 12：地面到12米绕外围巡视杂物堆积（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，绕着外围巡视杂物堆积现象，发现则进行拍照。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在地面，起飞后沿外围绕飞（`depth`=12），并行检测杂物堆积并拍照。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoGarbageObserve",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectGarbageObserve",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectGarbageWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"garbage","description":"杂物堆积","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 13：空中下降后绕外围侦察杂物堆积（Sequence）
+**指令**：“无人机当前在空中，往下飞3米，接着绕这栋楼外围侦察有没有杂物堆积，看到了就拍照传回来。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在空中，先下降3米。随后并行执行绕飞巡查与检测，发现杂物堆积立即拍照。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "DescendAndDetectGarbage",
+    "children": [
+      {"type":"action","name":"move_direction","params":{"direction":"down","distance":3.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectGarbage",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8},
+                {"x": -108.5, "y": 241.8},
+                {"x": -108.5, "y": 289.8},
+                {"x": -24.0, "y": 292.8},
+                {"x": -24.0, "y": 241.8}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectGarbageWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"garbage","description":"杂物堆积"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"garbage","description":"杂物堆积","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 14：地面到12米绕外围查看是否有人（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，绕着外围看有没有人，发现则进行拍照。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在地面，起飞后沿外围绕飞（`depth`=12），并行检测人员并拍照。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterAndPhotoPerson",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolAndDetectPerson",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectPersonWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"person","description":"人员"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"person","description":"人员"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"person","description":"人员","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```
+
+#### 场景 15：地面到12米沿外围逆时针查找人员（Sequence）
+**指令**：“无人机当前在地面，去面前大楼的12米高处，沿着外围逆时针查找所有的人并拍照。”
+**参考信息**：面前的大楼外围四个点东南天坐标系坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。
+**思路**：无人机在地面，起飞后按逆时针顺序巡查外围（示例航点顺序：A→D→C→B→A），并行检测人员与拍照。
+**结构**：Sequence
+```json
+{
+  "root": {
+    "type": "Sequence",
+    "name": "FlyPerimeterCounterClockwiseAndPhotoPerson",
+    "children": [
+      {"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}},
+      {"type":"action","name":"takeoff","params":{"altitude":10.0}},
+      {
+        "type": "Parallel",
+        "name": "PatrolCCWAndDetectPerson",
+        "params": {
+          "policy": "success_on_one"
+        },
+        "children": [
+          {
+            "type": "action",
+            "name": "fly_sequence",
+            "params": {
+              "waypoints": [
+                {"x": -24.0, "y": 241.8, "depth": 12.0},
+                {"x": -24.0, "y": 292.8, "depth": 12.0},
+                {"x": -108.5, "y": 289.8, "depth": 12.0},
+                {"x": -108.5, "y": 241.8, "depth": 12.0},
+                {"x": -24.0, "y": 241.8, "depth": 12.0}
+              ],
+              "coordinate_frame": "local_enu"
+            }
+          },
+          {
+            "type": "decorator",
+            "name": "SuccessIsFailure",
+            "child": {
+              "type": "Sequence",
+              "name": "DetectPersonWhileFlying",
+              "children": [
+                {"type":"action","name":"object_detect","params":{"target_class":"person","description":"人员"}},
+                {"type":"condition","name":"object_detected","params":{"target_class":"person","description":"人员"}},
+                {"type":"action","name":"take_photos","params":{"target_class":"person","description":"人员","track_time":10.0}}
+              ]
+            }
+          }
+        ]
+      }
+    ]
+  }
+}
+```

backend_service/src/prompts/prompt_manifest.yaml

@@ -0,0 +1,24 @@
+scenes:
+  system:
+    - header.txt
+    - core_nodes.json
+    - required_fields.txt
+    - standard_template.txt
+    - scene4_examples.txt
+    - system_extra_examples.txt
+    - common_rules.txt
+  scene1:
+    - header.txt
+    - core_nodes.json
+    - required_fields.txt
+    - standard_template.txt
+    - scene1_examples.txt
+  scene4:
+    - header.txt
+    - core_nodes.json
+    - required_fields.txt
+    - standard_template.txt
+    - scene4_examples.txt
+    - common_rules.txt
+  simple:
+    - simple_mode_prompt.txt

backend_service/src/prompts/scene_classifier_prompt.txt

@@ -0,0 +1,46 @@
+你是一个严格的指令场景分类器。只输出一个JSON对象，不要输出解释或多余文本。
+根据用户指令与下述场景定义，判断其属于“simple / scene1 / scene4”之一。
+
+输出格式（严格遵守）：
+{"mode":"simple"} 或 {"mode":"scene1"} 或 {"mode":"scene4"}
+
+判定规则（严格遵守）：
+1. 若指令符合 scene1 或 scene4 的特征，必须输出对应模式；
+2. 若指令不符合 scene1 与 scene4，输出 simple；
+3. 仅允许以上三种取值，禁止输出其他字段或文本。
+
+—— 场景定义 ——
+scene1（大楼外围巡查类）：
+- 关键词特征：面前大楼/这栋楼、外围/沿着外围/绕着外围、12米高处、逆时针等；
+- 任务类型：绕楼外围巡查、搜索窗户/杂物堆积/人员等并拍照；
+- 包含上下/下降移动（上升3米/下降3米）后绕楼侦察的也属于 scene1。
+
+scene4（广场相关复合任务类）：
+- 关键词特征：广场、广场边上、广场南边、施工区域、紧急回到广场、回到广场；
+- 任务类型：在广场搜索/拍照/监控/返航/降落/靠近拍照等；
+- 可能包含“确认后拍照/返航”、“持续监控5分钟”、“挟持”等描述。
+
+—— 场景指令样例 ——
+scene1 示例：
+- 无人机当前在地面，去面前大楼的12米高处，绕着外围看有没有打开的窗户，发现则进行拍照。
+- 无人机当前在地面，去面前大楼的12米高处，沿着外围查找所有打开的窗户并拍照。
+- 无人机当前在空中，再往上飞3米，接着绕这栋楼外围侦察有没有打开的窗户，看到了就拍照传回来。
+- 无人机当前在地面，去面前大楼的12米高处，绕着外围巡视杂物堆积现象，发现则进行拍照。
+- 无人机当前在地面，去面前大楼的12米高处，沿着外围查找所有的杂物堆积并拍照。
+- 无人机当前在空中，往下飞3米，接着绕这栋楼外围侦察有没有杂物堆积，看到了就拍照传回来。
+- 无人机当前在地面，去面前大楼的12米高处，绕着外围看有没有人，发现则进行拍照。
+- 无人机当前在地面，去面前大楼的12米高处，沿着外围逆时针查找所有的人并拍照。
+- 无人机当前在空中，再往上飞3米，接着绕这栋楼外围侦察有没有人，看到了就拍照传回来。
+
+scene4 示例：
+- 无人机当前在地面，到广场查找穿红色衣服的人，找到后近距离拍照。
+- 无人机当前在空中，回到广场，对戴帽子的人进行拍照。
+- 无人机当前在空中，去广场南边40米，对过往的公交车拍张照，然后返航。
+- 无人机当前在地面，到广场查找绿色公交车，看见了拍个照片。
+- 无人机当前在空中，搜索小汽车，搜索到了我确认后再决定要不要拍照。
+- 无人机当前在空中，搜索小汽车，搜索到了拍张照，我确认后再决定要不要返航。
+- 无人机当前在空中，往广场南边飞40米，持续监控5分钟，发现人就拍照告诉我，到时间可以返航。
+- 无人机当前在地面，到广场边上的施工区域内，发现有没带安全帽的飞近后拍照。
+- 无人机当前在空中，紧急回到广场，看见了红绿灯之后直接降落。
+- 无人机当前在地面，快速去往东边60米，有身穿白色衣服，头戴帽子的男子在挟持他人，对其进行拍照。
+- 无人机当前在空中，离白色衣服戴帽子的人太远了照片看不清，贴近到3米距离拍，拍完可以直接返航。

backend_service/src/prompts/simple_mode_prompt.txt

@@ -9,35 +9,38 @@
 示例：
 - “起飞到10米” → {"root":{"type":"action","name":"takeoff","params":{"altitude":10.0}}}
 - “移动到(120,80,20)” → {"root":{"type":"action","name":"fly_to_waypoint","params":{"x":120.0,"y":80.0,"z":20.0,"acceptance_radius":2.0}}}
-- “飞机自检” → {"root":{"type":"action","name":"preflight_checks","params":{"check_level":"comprehensive"}}}
+- “飞机自检” → {"root":{"type":"action","name":"system_checks","params":{"check_level":"comprehensive"}}}
 
 —— 可用节点定义——
 ```json
 {
   "actions": [
-    {"name": "takeoff", "description": "无人机从当前位置垂直起飞到指定的海拔高度。", "params": {"altitude": "float, 目标海拔高度(米)，范围[1, 100]，默认为2"}},
+    {"name":"takeoff","params":{"altitude":"float[1,100]，默认2"}},
-    {"name": "land", "description": "降落无人机。可选择当前位置或返航点降落。", "params": {"mode": "string, 可选值: 'current'（当前位置）, 'home'（返航点）"}},
+    {"name":"land","params":{"mode":"'current'/'home'"}},
-    {"name": "fly_to_waypoint", "description": "导航至一个指定坐标点。使用相对坐标系（x,y,z），单位为米。", "params": {"x": "float", "y": "float", "z": "float", "acceptance_radius": "float, 可选，默认2.0"}},
+    {"name":"fly_to_waypoint","params":{"x":"±10000","y":"±10000","z":"[1,5000]","acceptance_radius":"默认2.0"}},
-    {"name": "move_direction", "description": "按指定方向直线移动。方向可为绝对方位或相对机体朝向。", "params": {"direction": "string: north|south|east|west|forward|backward|left|right", "distance": "float[1,10000], 可选, 不指定则持续移动"}},
+    {"name":"fly_sequence","params":{"waypoints":"list[dict] (e.g. [{'x':10,'y':20,'depth':5}, ...]；depth可选，不填则保持当前高度)","coordinate_frame":"'global'/'local_enu'（global:经纬度, local_enu:以起飞点为原点的东南天坐标系）","speed":"float,可选"}},
-    {"name": "orbit_around_point", "description": "以给定中心点为中心，等速圆周飞行指定圈数。", "params": {"center_x": "float", "center_y": "float", "center_z": "float", "radius": "float[5,1000]", "laps": "int[1,20]", "clockwise": "boolean, 可选, 默认true", "speed_mps": "float[0.5,15], 可选", "gimbal_lock": "boolean, 可选, 默认true"}},
+    {"name":"move_direction","params":{"direction":"north/south/east/west/forward/backward/left/right/up/down","distance":"[1,10000]，缺省持续移动","speed":"float,可选"}},
-    {"name": "orbit_around_target", "description": "以目标为中心，等速圆周飞行指定圈数（需已有目标）。", "params": {"target_class": "string, 取值同object_detect列表", "description": "string, 可选", "radius": "float[5,1000]", "laps": "int[1,20]", "clockwise": "boolean, 可选, 默认true", "speed_mps": "float[0.5,15], 可选", "gimbal_lock": "boolean, 可选, 默认true"}},
+    {"name":"approach_target","params":{"target_class":"string,要趋近的目标类别","description":"string,可选,目标属性描述","stop_distance":"float,期望的最终停止距离","speed":"float,可选,期望的逼近速度"}},
-    {"name": "loiter", "description": "在当前位置上空悬停一段时间或直到条件触发。", "params": {"duration": "float, 可选[1,600]", "until_condition": "string, 可选"}},
+    {"name":"rotate","params":{"angle":"float,无人机自身旋转角度(正数逆时针,负数顺时针)","angular_velocity":"rad/s,旋转角速度"}},
-    {"name": "object_detect", "description": "识别特定目标对象。一般是用户提到的需要检测的目标；如果用户给出了需要探索的目标的优先级，比如蓝色球危险性大于红色球大于绿色球，需要检测最危险的球，此处应给出检测优先级，描述应当为 '蓝>红>绿'", "params": {"target_class": "string, 要识别的目标类别，必须为以下值之一: balloon,person, bicycle, car, motorcycle, airplane, bus, train, truck, boat, traffic_light, fire_hydrant, stop_sign, parking_meter, bench, bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe, backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports_ball, kite, baseball_bat, baseball_glove, skateboard, surfboard, tennis_racket, bottle, wine_glass, cup, fork, knife, spoon, bowl, banana, apple, sandwich, orange, broccoli, carrot, hot_dog, pizza, donut, cake, chair, couch, potted_plant, bed, dining_table, toilet, tv, laptop, mouse, remote, keyboard, cell_phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy_bear, hair_drier, toothbrush", "description": "string, 可选", "count": "int, 可选, 默认1"}},
+    {"name":"rotate_search","params":{"target_class":"string,要搜寻的目标类别","description":"string,可选,目标属性描述","step_angle":"float,可选,每一步旋转的角度","total_rotation":"float,可选,总共旋转搜索的角度"}},
-    {"name": "strike_target", "description": "对已识别目标进行打击。", "params": {"target_class": "string", "description": "string, 可选", "count": "int, 可选, 默认1"}},
+    {"name":"manual_confirmation","params":{}},
-    {"name": "battle_damage_assessment", "description": "战损评估。", "params": {"target_class": "string", "assessment_time": "float[5-60], 默认15.0"}},
+    {"name":"loiter","params":{"duration":"[1,600]秒/until_condition:可选"}},
-    {"name": "search_pattern", "description": "按模式搜索。", "params": {"pattern_type": "string: spiral|grid", "center_x": "float", "center_y": "float", "center_z": "float", "radius": "float[5,1000]", "target_class": "string", "description": "string, 可选", "count": "int, 可选, 默认1"}},
+    {"name":"object_detect","params":{"target_class":"person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,traffic_light,fire_hydrant,stop_sign,parking_meter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sports_ball,kite,baseball_bat,baseball_glove,skateboard,surfboard,tennis_racket,bottle,wine_glass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hot_dog,pizza,donut,cake,chair,couch,potted_plant,bed,dining_table,toilet,tv,laptop,mouse,remote,keyboard,cell_phone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddy_bear,hair_drier,toothbrush,garbage","description":"可选，","count":"默认1"}},
-    {"name": "track_object", "description": "持续跟踪目标。", "params": {"target_class": "string, 取值同object_detect列表", "description": "string, 可选", "track_time": "float[1,600], 默认30.0", "min_confidence": "float[0.5-1.0], 默认0.7", "safe_distance": "float[2-50], 默认10.0"}},
+    {"name":"strike_target","params":{"target_class":"同object_detect","description":"可选，目标属性","count":"默认1"}},
-    {"name": "deliver_payload", "description": "投放物资。", "params": {"payload_type": "string", "release_altitude": "float[2,100], 默认5.0"}},
+    {"name":"battle_damage_assessment","params":{"target_class":"同object_detect","assessment_time":"[5,60]，默认15"}},
-    {"name": "preflight_checks", "description": "飞行前系统自检。", "params": {"check_level": "string: basic|comprehensive"}},
+    {"name":"search_pattern","params":{"pattern_type":"spiral/grid","center_x":"±10000","center_y":"±10000","center_z":"[1,5000]","radius":"[5,1000]","target_class":"同object_detect","description":"可选，目标属性","count":"默认1"}},
-    {"name": "emergency_return", "description": "执行紧急返航程序。", "params": {"reason": "string"}}
+    {"name":"track_object","params":{"target_class":"同object_detect","description":"可选，目标属性","track_time":"[1,600]秒（必传，不可用'duration'）","min_confidence":"[0.5,1.0]默认0.7","safe_distance":"[2,50]默认10"}},
+    {"name":"deliver_payload","params":{"payload_type":"string","release_altitude":"[2,100]默认5"}},
+    {"name":"system_checks","params":{"check_level":"basic/comprehensive"}},
+    {"name":"return_emergency","params":{"reason":"string，此节点仅用于【无明确目的地】的立即返航。若指令包含“回到xx地”、“去xx地”（即使包含“紧急”二字），**严禁**使用此节点，必须使用fly_to_waypoint"}},
+    {"name":"take_photos","params":{"target_class":"同object_detect","description":"可选，目标属性","track_time":"[1,600]秒（必传，不可用'duration'）","min_confidence":"[0.5,1.0]默认0.7","safe_distance":"[2,50]默认10"}}
   ],
   "conditions": [
-    {"name": "battery_above", "description": "电池电量高于阈值。", "params": {"threshold": "float[0.0,1.0]"}},
+    {"name":"at_waypoint","params":{"x":"±10000","y":"±10000","z":"[1,5000]","tolerance":"默认3.0"}},
-    {"name": "at_waypoint", "description": "在指定坐标容差范围内。", "params": {"x": "float", "y": "float", "z": "float", "tolerance": "float, 可选, 默认3.0"}},
+    {"name":"object_detected","params":{"target_class":"同object_detect（必传）","description":"可选，目标属性","count":"默认1"}},
-    {"name": "object_detected", "description": "检测到特定目标。", "params": {"target_class": "string", "description": "string, 可选", "count": "int, 可选, 默认1"}},
+    {"name":"target_destroyed","params":{"target_class":"同object_detect","description":"可选，目标属性","confidence":"[0.5,1.0]默认0.8"}},
-    {"name": "target_destroyed", "description": "目标已被摧毁。", "params": {"target_class": "string", "description": "string, 可选", "confidence": "float[0.5-1.0], 默认0.8"}},
+    {"name":"time_elapsed","params":{"duration":"[1,2700]秒"}},
-    {"name": "time_elapsed", "description": "时间经过。", "params": {"duration": "float[1,2700]"}},
+    {"name":"gps_status","params":{"min_satellites":"int[6,15]，必传（如8）"}}
-    {"name": "gps_status", "description": "GPS状态良好。", "params": {"min_satellites": "int[6,15], 默认10"}}
   ]
 }
 ```
@@ -48,14 +51,4 @@
 - fly_to_waypoint.x,y: [-10000, 10000]
 - search_pattern.radius: [5, 1000]
 - move_direction.distance: [1, 10000]
-- orbit_around_point.radius: [5, 1000]
-- orbit_around_target.radius: [5, 1000]
-- orbit_around_point/target.laps: [1, 20]
-- orbit_around_point/target.speed_mps: [0.5, 15]
 - 若参考知识提供坐标，必须使用并裁剪到约束范围内
-
-—— 口令转化规则（环绕类）——
-- “环绕X米Y圈” → 若有目标上下文则使用 `orbit_around_target`，否则根据是否给出中心坐标选择 `orbit_around_point`；`radius=X`，`laps=Y`，默认 `clockwise=true`，`gimbal_lock=true`
-- “顺时针/逆时针” → `clockwise=true/false`
-- “等速” → 若未给速度则 `speed_mps` 采用默认值（例如3.0）；若口令指明速度，裁剪到[0.5,15]
-- “以(x,y,z)为中心”/“当前位置为中心” → 选择 `orbit_around_point` 并填充 `center_x/center_y/center_z`

backend_service/src/prompts/system_prompt.txt

@@ -1,117 +0,0 @@
-任务：根据用户任意任务指令，生成结构化可执行的无人机行为树（Pytree）JSON。**仅输出单一JSON对象，无任何自然语言、注释或额外内容**。
-
-## 一、核心节点定义（格式不可修改，确保后端解析）
-#### 1. 可用节点定义 (必须遵守)
-你必须严格从以下JSON定义的列表中选择节点构建行为树，不允许使用未定义节点：
-```json
-{
-  "actions": [
-    {"name":"takeoff","params":{"altitude":"float[1,100]，默认2"}},
-    {"name":"land","params":{"mode":"'current'/'home'"}},
-    {"name":"fly_to_waypoint","params":{"x":"±10000","y":"±10000","z":"[1,5000]","acceptance_radius":"默认2.0"}},
-    {"name":"move_direction","params":{"direction":"north/south/east/west/forward/backward/left/right","distance":"[1,10000]，缺省持续移动"}},
-    {"name":"orbit_around_point","params":{"center_x":"±10000","center_y":"±10000","center_z":"[1,5000]","radius":"[5,1000]","laps":"[1,20]","clockwise":"默认true","speed_mps":"[0.5,15]","gimbal_lock":"默认true"}},
-    {"name":"orbit_around_target","params":{"target_class":"见object_detect列表","description":"可选，目标属性","radius":"[5,1000]","laps":"[1,20]","clockwise":"默认true","speed_mps":"[0.5,15]","gimbal_lock":"默认true"}},
-    {"name":"loiter","params":{"duration":"[1,600]秒/until_condition:可选"}},
-    {"name":"object_detect","params":{"target_class":"person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,traffic_light,fire_hydrant,stop_sign,parking_meter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sports_ball,kite,baseball_bat,baseball_glove,skateboard,surfboard,tennis_racket,bottle,wine_glass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hot_dog,pizza,donut,cake,chair,couch,potted_plant,bed,dining_table,toilet,tv,laptop,mouse,remote,keyboard,cell_phone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddy_bear,hair_drier,toothbrush","description":"可选，","count":"默认1"}},
-    {"name":"strike_target","params":{"target_class":"同object_detect","description":"可选，目标属性","count":"默认1"}},
-    {"name":"battle_damage_assessment","params":{"target_class":"同object_detect","assessment_time":"[5,60]，默认15"}},
-    {"name":"search_pattern","params":{"pattern_type":"spiral/grid","center_x":"±10000","center_y":"±10000","center_z":"[1,5000]","radius":"[5,1000]","target_class":"同object_detect","description":"可选，目标属性","count":"默认1"}},
-    {"name":"track_object","params":{"target_class":"同object_detect","description":"可选，目标属性","track_time":"[1,600]秒（必传，不可用'duration'）","min_confidence":"[0.5,1.0]默认0.7","safe_distance":"[2,50]默认10"}},
-    {"name":"deliver_payload","params":{"payload_type":"string","release_altitude":"[2,100]默认5"}},
-    {"name":"preflight_checks","params":{"check_level":"basic/comprehensive"}},
-    {"name":"emergency_return","params":{"reason":"string"}}
-  ],
-  "conditions": [
-    {"name":"battery_above","params":{"threshold":"[0.0,1.0]，必传"}},
-    {"name":"at_waypoint","params":{"x":"±10000","y":"±10000","z":"[1,5000]","tolerance":"默认3.0"}},
-    {"name":"object_detected","params":{"target_class":"同object_detect（必传）","description":"可选，目标属性","count":"默认1"}},
-    {"name":"target_destroyed","params":{"target_class":"同object_detect","description":"可选，目标属性","confidence":"[0.5,1.0]默认0.8"}},
-    {"name":"time_elapsed","params":{"duration":"[1,2700]秒"}},
-    {"name":"gps_status","params":{"min_satellites":"int[6,15]，必传（如8）"}}
-  ],
-  "control_flow": [
-    {"name":"Sequence","params":{},"children":"子节点数组（按序执行，全成功则成功）"},
-    {"name":"Selector","params":{"memory":"默认true"},"children":"子节点数组（执行到成功为止）"},
-    {"name":"Parallel","params":{"policy":"all_success"},"children":"子节点数组（同时执行，严禁用'one_success'）"}
-  ]
-}
-```
-
-
-## 二、节点必填字段（后端Schema强制要求，缺一验证失败）
-每个节点必须包含以下字段，字段名/类型不可自定义：
-1. **`type`**：  
-   - 动作节点→`"action"`，条件节点→`"condition"`，控制流节点→`"Sequence"`/`"Selector"`/`"Parallel"`（与`name`字段值完全一致）；
-2. **`name`**：必须是上述JSON中`actions`/`conditions`/`control_flow`下的`name`值（如“gps_status”不可错写为“gps_check”）；
-3. **`params`**：严格匹配上述节点的`params`定义，无自定义参数（如优先级排序不可加“priority”字段，仅用`description`）；
-4. **`children`**：仅控制流节点必含（子节点数组），动作/条件节点无此字段。
-
-
-## 三、行为树固定结构（通用不变，确保安全验证）
-根节点必须是`Parallel`，`children`含`MainTask`（Sequence）和`SafetyMonitor`（Selector），结构不随任务类型（含优先级排序）修改：
-```json
-{
-  "root": {
-    "type": "Parallel",
-    "name": "MissionWithSafety",
-    "params": {"policy": "all_success"},
-    "children": [
-      {
-        "type": "Sequence",
-        "name": "MainTask",
-        "params": {},
-        "children": [
-          // 通用主任务步骤（含优先级排序任务示例，需按用户指令替换）：
-          {"type":"action","name":"preflight_checks","params":{"check_level":"comprehensive"}},
-          {"type":"action","name":"takeoff","params":{"altitude":10.0}},
-          {"type":"action","name":"fly_to_waypoint","params":{"x":200.0,"y":150.0,"z":10.0}}, // 搜索区坐标（用户未给时填合理值）
-          {"type":"action","name":"search_pattern","params":{"pattern_type":"grid","center_x":200.0,"center_y":150.0,"center_z":10.0,"radius":50.0,"target_class":"balloon","description":"红色"}},
-          {"type":"condition","name":"object_detected","params":{"target_class":"balloon","description":"红色"}}, // 确认高优先级目标
-          {"type":"action","name":"track_object","params":{"target_class":"balloon","description":"红色","track_time":30.0}},
-          {"type":"action","name":"strike_target","params":{"target_class":"balloon","description":"红色"}},
-          {"type":"action","name":"land","params":{"mode":"home"}}
-        ]
-      },
-      {
-        "type": "Selector",
-        "name": "SafetyMonitor",
-        "params": {"memory": true},
-        "children": [
-          {"type":"condition","name":"battery_above","params":{"threshold":0.3}},
-          {"type":"condition","name":"gps_status","params":{"min_satellites":8}},
-          {
-            "type":"Sequence",
-            "name":"EmergencyHandler",
-            "params": {},
-            "children": [
-              {"type":"action","name":"emergency_return","params":{"reason":"safety_breach"}},
-              {"type":"action","name":"land","params":{"mode":"home"}}
-            ]
-          }
-        ]
-      }
-    ]
-  }
-}
-```
-
-
-## 四、优先级排序任务通用示例
-当用户指令中明确提出有多个待考察且具有优先级关系的物体时，节点描述须为优先级关系。比如当指令为已知有三个气球，危险级关系为红色气球大于蓝色气球大于绿色气球，要求优先跟踪最危险的气球时，节点的描述参考下表情形。
-| 用户指令场景                | `target_class`  | `description`          | 核心节点示例（search_pattern）                                                                 |
-|-----------------------------|-----------------|-------------------------|------------------------------------------------------------------------------------------------|
-| 红气球＞蓝气球＞绿气球      | `balloon`    | `（红＞蓝＞绿）`        | `{"type":"action","name":"search_pattern","params":{"pattern_type":"grid","center_x":200,"center_y":150,"center_z":10,"radius":50,"target_class":"balloon","description":"（红＞蓝＞绿）"}}` |
-| 军用卡车＞民用卡车＞面包车  | `truck`         | `（军用卡车＞民用卡车＞面包车）` | `{"type":"action","name":"object_detect","params":{"target_class":"truck","description":"（军用卡车＞民用卡车＞面包车）"}}` |
-
-
-## 五、高频错误规避（确保验证通过）
-1. 优先级排序不可修改`target_class`：如“民用卡车、面包车与军用卡车中，军用卡车优先”，`target_class`仍为`truck`，仅用`description`填排序规则；
-2. 在没有明确指出物体之间的优先级关系情况下，`description`字段只描述物体属性本身，严禁与用户指令中不存在的物体进行排序；
-3. `track_object`必传`track_time`：不可用`duration`替代（如跟踪30秒填`"track_time":30.0`）；
-4. `gps_status`的`min_satellites`必须在6-15之间（如8，不可缺省）；
-5. 无自定义节点：“锁定高优先级目标”需通过`object_detect`+`object_detected`实现，不可用“lock_high_risk_target”。
-
-
-## 六、输出要求
-仅输出1个严格符合上述所有规则的JSON对象，**确保：1. 优先级排序逻辑正确填入`description`；2. `target_class`匹配预定义列表；3. 行为树结构不变；4. 后端解析与Schema验证无错误**，无任何冗余内容。

backend_service/src/py_tree_generator.py

@@ -10,6 +10,8 @@ from openai import OpenAIError
 import jsonschema
 import requests
 import platform  # 新增：用于选择合适的中文字体
+import yaml
+from .tools.coordinate_tools import calc_offset_enu, calc_offset_esu_direction_text
 
 # --- 自定义远程嵌入函数 (与ingest.py中定义一致) ---
 from chromadb.api.types import Documents, EmbeddingFunction, Embeddings, Embeddable
@@ -52,7 +54,7 @@ def _parse_allowed_nodes_from_prompt(prompt_text: str) -> tuple[Set[str], Set[st
     """
     try:
         # 使用更精确的正则表达式匹配节点定义部分
-        node_section_pattern = r"#### 2\. 可用节点定义.*?```json\s*({.*?})\s*```"
+        node_section_pattern = r"#### 1\. 可用节点定义.*?```json\s*({.*?})\s*```"
         match = re.search(node_section_pattern, prompt_text, re.DOTALL | re.IGNORECASE)
         
         if not match:
@@ -144,51 +146,12 @@ def _fallback_parse_nodes(prompt_text: str) -> tuple[Set[str], Set[str]]:
     logging.error("在所有JSON代码块中都没有找到有效的节点定义结构。")
     return set(), set()
 
-def _find_nodes_by_name(node: Dict, target_name: str) -> List[Dict]:
-    """递归查找所有指定名称的节点"""
-    nodes_found = []
-    
-    if node.get("name") == target_name:
-        nodes_found.append(node)
-    
-    # 递归搜索子节点
-    for child in node.get("children", []):
-        nodes_found.extend(_find_nodes_by_name(child, target_name))
-    
-    return nodes_found
-
-def _validate_safety_monitoring(pytree_instance: dict) -> bool:
-    """验证行为树是否包含必要的安全监控"""
-    root_node = pytree_instance.get("root", {})
-    
-    # 查找所有电池监控节点
-    battery_nodes = _find_nodes_by_name(root_node, "battery_above")
-    
-    # 检查是否包含安全监控结构
-    safety_monitors = _find_nodes_by_name(root_node, "SafetyMonitor")
-    
-    if not battery_nodes and not safety_monitors:
-        logging.warning("⚠️ 安全警告: 行为树中没有发现电池监控节点或安全监控器")
-        return False
-    
-    # 检查电池阈值设置是否合理
-    for battery_node in battery_nodes:
-        threshold = battery_node.get("params", {}).get("threshold")
-        if threshold is not None:
-            if threshold < 0.25:
-                logging.warning(f"⚠️ 安全警告: 电池阈值设置过低 ({threshold})，建议不低于0.25")
-            elif threshold > 0.5:
-                logging.warning(f"⚠️ 安全警告: 电池阈值设置过高 ({threshold})，可能影响任务执行")
-    
-    logging.info("✅ 安全监控验证通过")
-    return True
-
 def _generate_pytree_schema(allowed_actions: set, allowed_conditions: set) -> dict:
     """
     根据允许的行动和条件节点，动态生成一个JSON Schema。
     """
     # 所有可能的节点类型
-    node_types = ["action", "condition", "Sequence", "Selector", "Parallel"]
+    node_types = ["action", "condition", "Sequence", "Selector", "Parallel", "decorator"]
     
     # 目标检测相关的类别枚举
     target_classes = [
@@ -201,38 +164,44 @@ def _generate_pytree_schema(allowed_actions: set, allowed_conditions: set) -> di
         "sandwich", "orange", "broccoli", "carrot", "hot_dog", "pizza", "donut", "cake", "chair",
         "couch", "potted_plant", "bed", "dining_table", "toilet", "tv", "laptop", "mouse", "remote",
         "keyboard", "cell_phone", "microwave", "oven", "toaster", "sink", "refrigerator", "book",
-        "clock", "vase", "scissors", "teddy_bear", "hair_drier", "toothbrush","balloon"
+        "clock", "vase", "scissors", "teddy_bear", "hair_drier", "toothbrush","balloon","trash","window","garbage"
     ]
     
     # 递归节点定义
     node_definition = {
         "type": "object",
         "properties": {
-            "type": {"type": "string", "enum": node_types},
+            # 修改：手动构造不区分大小写的正则，避免使用不支持的 (?i) 标志
+            # 匹配: action, condition, sequence, selector, parallel, decorator (忽略大小写)
+            "type": {
+                "type": "string", 
+                "pattern": "^([Aa][Cc][Tt][Ii][Oo][Nn]|[Cc][Oo][Nn][Dd][Ii][Tt][Ii][Oo][Nn]|[Ss][Ee][Qq][Uu][Ee][Nn][Cc][Ee]|[Ss][Ee][Ll][Ee][Cc][Tt][Oo][Rr]|[Pp][Aa][Rr][Aa][Ll][Ll][Ee][Ll]|[Dd][Ee][Cc][Oo][Rr][Aa][Tt][Oo][Rr])$"
+            },
             "name": {"type": "string"},
             "params": {"type": "object"},
             "children": {
                 "type": "array",
                 "items": {"$ref": "#/definitions/node"}
-            }
+            },
+            "child": {"$ref": "#/definitions/node"}
         },
         "required": ["type", "name"],
         "allOf": [
-            # 动作节点验证
+            # 动作节点验证 (忽略大小写)
             {
-                "if": {"properties": {"type": {"const": "action"}}},
+                "if": {"properties": {"type": {"pattern": "^[Aa][Cc][Tt][Ii][Oo][Nn]$"}}},
                 "then": {"properties": {"name": {"enum": sorted(list(allowed_actions))}}}
             },
-            # 条件节点验证
+            # 条件节点验证 (忽略大小写)
             {
-                "if": {"properties": {"type": {"const": "condition"}}},
+                "if": {"properties": {"type": {"pattern": "^[Cc][Oo][Nn][Dd][Ii][Tt][Ii][Oo][Nn]$"}}},
                 "then": {"properties": {"name": {"enum": sorted(list(allowed_conditions))}}}
             },
-            # 目标检测动作节点的参数验证
+            # 目标检测动作节点的参数验证 (忽略大小写)
             {
                 "if": {
                     "properties": {
-                        "type": {"const": "action"},
+                        "type": {"pattern": "^[Aa][Cc][Tt][Ii][Oo][Nn]$"},
                         "name": {"const": "object_detect"}
                     }
                 },
@@ -251,11 +220,11 @@ def _generate_pytree_schema(allowed_actions: set, allowed_conditions: set) -> di
                     }
                 }
             },
-            # 目标检测条件节点的参数验证
+            # 目标检测条件节点的参数验证 (忽略大小写)
             {
                 "if": {
                     "properties": {
-                        "type": {"const": "condition"},
+                        "type": {"pattern": "^[Cc][Oo][Nn][Dd][Ii][Tt][Ii][Oo][Nn]$"},
                         "name": {"const": "object_detected"}
                     }
                 },
@@ -274,11 +243,11 @@ def _generate_pytree_schema(allowed_actions: set, allowed_conditions: set) -> di
                     }
                 }
             },
-            # 电池监控节点的参数验证
+            # 电池监控节点的参数验证 (忽略大小写)
             {
                 "if": {
                     "properties": {
-                        "type": {"const": "condition"},
+                        "type": {"pattern": "^[Cc][Oo][Nn][Dd][Ii][Tt][Ii][Oo][Nn]$"},
                         "name": {"const": "battery_above"}
                     }
                 },
@@ -295,11 +264,11 @@ def _generate_pytree_schema(allowed_actions: set, allowed_conditions: set) -> di
                     }
                 }
             },
-            # GPS状态节点的参数验证
+            # GPS状态节点的参数验证 (忽略大小写)
             {
                 "if": {
                     "properties": {
-                        "type": {"const": "condition"},
+                        "type": {"pattern": "^[Cc][Oo][Nn][Dd][Ii][Tt][Ii][Oo][Nn]$"},
                         "name": {"const": "gps_status"}
                     }
                 },
@@ -315,6 +284,65 @@ def _generate_pytree_schema(allowed_actions: set, allowed_conditions: set) -> di
                         }
                     }
                 }
+            },
+            # 飞行序列节点的参数验证
+            {
+                "if": {
+                    "properties": {
+                        "type": {"pattern": "^[Aa][Cc][Tt][Ii][Oo][Nn]$"},
+                        "name": {"const": "fly_sequence"}
+                    }
+                },
+                "then": {
+                    "properties": {
+                        "params": {
+                            "type": "object",
+                            "properties": {
+                                "waypoints": {
+                                    "type": "array",
+                                    "items": {
+                                        "type": "object",
+                                        "properties": {
+                                            "x": {"type": "number"},
+                                            "y": {"type": "number"},
+                                            "depth": {"type": "number"}
+                                        },
+                                        "required": ["x", "y"]
+                                    },
+                                    "minItems": 1
+                                },
+                                "coordinate_frame": {"type": "string", "enum": ["global", "local_enu"]},
+                                "speed": {"type": "number"}
+                            },
+                            "required": ["waypoints", "coordinate_frame"],
+                            "additionalProperties": False
+                        }
+                    }
+                }
+            },
+            # 抵近目标节点的参数验证
+            {
+                "if": {
+                    "properties": {
+                        "type": {"pattern": "^[Aa][Cc][Tt][Ii][Oo][Nn]$"},
+                        "name": {"const": "approach_target"}
+                    }
+                },
+                "then": {
+                    "properties": {
+                        "params": {
+                            "type": "object",
+                            "properties": {
+                                "target_class": {"type": "string"},
+                                "description": {"type": "string"},
+                                "stop_distance": {"type": "number"},
+                                "speed": {"type": "number"}
+                            },
+                            "required": ["target_class", "stop_distance"],
+                            "additionalProperties": False
+                        }
+                    }
+                }
             }
         ]
     }
@@ -372,10 +400,7 @@ def _validate_pytree_with_schema(pytree_instance: dict, schema: dict) -> bool:
         jsonschema.validate(instance=pytree_instance, schema=schema)
         logging.info("✅ JSON Schema验证成功")
         
-        # 额外验证安全监控
+        return True
-        safety_valid = _validate_safety_monitoring(pytree_instance)
-        
-        return True and safety_valid
     except jsonschema.ValidationError as e:
         logging.warning("❌ Pytree验证失败")
         logging.warning(f"错误信息: {e.message}")
@@ -503,6 +528,10 @@ def _add_nodes_and_edges(node: dict, dot, parent_id: str | None = None) -> str:
         shape = 'ellipse'
         style = 'filled'
         fillcolor = '#e1d5e7'  # 紫色
+    elif node_type == 'decorator':
+        shape = 'doubleoctagon'
+        style = 'filled'
+        fillcolor = '#f8cecc'  # 浅红
     
     # 特别标记安全相关节点
     if node.get('name') in ['battery_above', 'gps_status', 'SafetyMonitor']:
@@ -515,11 +544,14 @@ def _add_nodes_and_edges(node: dict, dot, parent_id: str | None = None) -> str:
     if parent_id:
         dot.edge(parent_id, current_id)
     
-    # 递归处理子节点
+    # 递归处理子节点 (Sequence, Selector, Parallel 等)
     children = node.get("children", [])
-    if not children:
-        return current_id
     
+    # 兼容 decorator 类型的 child 字段 (处理为单元素列表以便统一逻辑)
+    if node_type == 'decorator' and 'child' in node:
+        children = [node['child']]
+        
+    if children:
         # 记录所有子节点的ID
         child_ids = []
         
@@ -535,8 +567,10 @@ def _add_nodes_and_edges(node: dict, dot, parent_id: str | None = None) -> str:
                 for cid in child_ids:
                     s.node(cid)
 
-    # 行为树中，所有类型的节点都只是父连子，不需要子节点间的额外连接
+    # 递归处理单子节点 (Decorator) - 已合并到 children 处理逻辑中，此处删除旧逻辑
-    # Sequence、Selector、Parallel 的执行逻辑由行为树引擎处理，不需要在可视化中体现
+    # child = node.get("child")
+    # if child:
+    #     _add_nodes_and_edges(child, dot, current_id)
     
     return current_id
 
@@ -547,6 +581,8 @@ class PyTreeGenerator:
     def __init__(self):
         self.base_dir = os.path.dirname(os.path.abspath(__file__))
         self.prompts_dir = os.path.join(self.base_dir, 'prompts')
+        self._prompt_manifest_cache = None
+        self._prompt_manifest_mtime = None
         
         # Updated output directory for visualizations
         self.vis_dir = os.path.abspath(os.path.join(self.base_dir, '..', 'generated_visualizations'))
@@ -561,10 +597,13 @@ class PyTreeGenerator:
             self.reasoning_preview_lines = int(os.getenv("REASONING_PREVIEW_LINES", "20"))
         except Exception:
             self.reasoning_preview_lines = 20
-        # 加载提示词：复杂模式复用现有 system_prompt.txt；简单模式与分类器独立提示词
+        # 加载提示词：优先使用清单拼接，失败回退到单文件
-        self.complex_prompt = self._load_prompt("system_prompt.txt")
+        self.complex_prompt = self._load_prompt_from_manifest("system", "system_prompt.txt")
-        self.simple_prompt = self._load_prompt("simple_mode_prompt.txt")
+        self.scene1_prompt = self._load_prompt_from_manifest("scene1", "scene1_prompt.txt")
+        self.scene4_prompt = self._load_prompt_from_manifest("scene4", "scene4_prompt.txt")
+        self.simple_prompt = self._load_prompt_from_manifest("simple", "simple_mode_prompt.txt")
         self.classifier_prompt = self._load_prompt("classifier_prompt.txt")
+        self.scene_classifier_prompt = self._load_prompt("scene_classifier_prompt.txt")
         # 兼容旧变量名
         self.system_prompt = self.complex_prompt
         
@@ -588,7 +627,7 @@ class PyTreeGenerator:
         self.complex_llm_client = openai.OpenAI(api_key=self.api_key, base_url=self.complex_base_url)
         
         # --- ChromaDB Client Setup ---
-        vector_store_path = os.path.abspath(os.path.join(self.base_dir, '..', '..', 'tools', 'vector_store'))
+        vector_store_path = os.path.abspath(os.path.join(self.base_dir, '..', '..', 'tools', 'rag','vector_store'))
         self.chroma_client = chromadb.PersistentClient(path=vector_store_path)
         
         # Explicitly use the remote embedding function for queries
@@ -612,6 +651,219 @@ class PyTreeGenerator:
             logging.error(f"提示词文件未找到 -> {file_name}")
             return ""
 
+    def _load_prompt_manifest(self) -> Optional[dict]:
+        manifest_path = os.path.join(self.prompts_dir, "prompt_manifest.yaml")
+        try:
+            manifest_mtime = os.path.getmtime(manifest_path)
+        except FileNotFoundError:
+            return None
+
+        if (
+            self._prompt_manifest_cache is not None
+            and self._prompt_manifest_mtime == manifest_mtime
+        ):
+            return self._prompt_manifest_cache
+
+        try:
+            with open(manifest_path, "r", encoding="utf-8") as f:
+                manifest = yaml.safe_load(f) or {}
+        except Exception as exc:
+            logging.error(f"提示词清单加载失败 -> {exc}")
+            return None
+
+        if not isinstance(manifest, dict):
+            logging.error("提示词清单格式错误：顶层必须为映射")
+            return None
+
+        self._prompt_manifest_cache = manifest
+        self._prompt_manifest_mtime = manifest_mtime
+        return manifest
+
+    def _resolve_prompt_fragment(self, fragment: str) -> str:
+        if os.path.isabs(fragment):
+            return fragment
+        if "/" in fragment:
+            return os.path.join(self.prompts_dir, fragment)
+        partial_path = os.path.join(self.prompts_dir, "partials", fragment)
+        if os.path.exists(partial_path):
+            return partial_path
+        return os.path.join(self.prompts_dir, fragment)
+
+    def _load_fragment_text(self, fragment_path: str) -> str:
+        if fragment_path.lower().endswith(".json"):
+            try:
+                with open(fragment_path, "r", encoding="utf-8") as f:
+                    payload = json.load(f)
+            except Exception as exc:
+                raise ValueError(f"JSON片段解析失败: {exc}") from exc
+
+            json_text = json.dumps(payload, ensure_ascii=False, indent=2)
+            if os.path.basename(fragment_path) == "core_nodes.json":
+                return "\n".join(
+                    [
+                        "## 一、核心节点定义（格式不可修改，确保后端解析）",
+                        "#### 1. 可用节点定义 (必须遵守)",
+                        "你必须严格从以下JSON定义的列表中选择节点构建行为树，不允许使用未定义节点：",
+                        "```json",
+                        json_text,
+                        "```",
+                    ]
+                )
+            return "\n".join(["```json", json_text, "```"])
+
+        with open(fragment_path, "r", encoding="utf-8") as f:
+            return f.read()
+
+    def _load_prompt_from_manifest(self, scene_key: str, fallback_file: str) -> str:
+        manifest = self._load_prompt_manifest()
+        if not manifest:
+            return self._load_prompt(fallback_file)
+
+        scene_map = manifest.get("scenes", manifest)
+        fragments = scene_map.get(scene_key)
+        if not fragments:
+            logging.warning(f"提示词清单缺少场景配置 -> {scene_key}")
+            return self._load_prompt(fallback_file)
+        if not isinstance(fragments, list) or not all(isinstance(item, str) for item in fragments):
+            logging.warning(f"提示词清单场景配置非法 -> {scene_key}")
+            return self._load_prompt(fallback_file)
+
+        contents = []
+        for fragment in fragments:
+            fragment_path = self._resolve_prompt_fragment(fragment)
+            try:
+                contents.append(self._load_fragment_text(fragment_path).strip("\n"))
+            except FileNotFoundError:
+                logging.error(f"提示词片段未找到 -> {fragment_path}")
+                return self._load_prompt(fallback_file)
+            except ValueError as exc:
+                logging.error(f"提示词片段解析失败 -> {exc}")
+                return self._load_prompt(fallback_file)
+
+        return "\n\n".join(contents).strip("\n")
+
+    def _get_tool_definitions(self) -> list[dict]:
+        return [
+            {
+                "type": "function",
+                "function": {
+                    "name": "calc_offset_enu",
+                    "description": "根据ENU坐标系基准点、方向和距离计算偏移后的坐标。",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "base": {
+                                "type": "object",
+                                "properties": {
+                                    "x": {"type": "number"},
+                                    "y": {"type": "number"},
+                                    "z": {"type": "number"}
+                                },
+                                "required": ["x", "y", "z"]
+                            },
+                            "direction": {
+                                "type": "string",
+                                "enum": [
+                                    "east", "west", "north", "south",
+                                    "up", "down"
+                                ]
+                            },
+                            "distance": {"type": "number", "minimum": 0}
+                        },
+                        "required": ["base", "direction", "distance"]
+                    }
+                }
+            },
+            {
+                "type": "function",
+                "function": {
+                    "name": "calc_offset_esu_direction_text",
+                    "description": "根据ESU坐标系基准点、中文方位与距离计算偏移后的坐标。",
+                    "parameters": {
+                        "type": "object",
+                        "properties": {
+                            "base": {
+                                "type": "object",
+                                "properties": {
+                                    "x": {"type": "number"},
+                                    "y": {"type": "number"},
+                                    "z": {"type": "number"}
+                                },
+                                "required": ["x", "y", "z"]
+                            },
+                            "direction_text": {
+                                "type": "string",
+                                "description": "中文方位，如“南偏东10度”“北偏东10度”“东南”“西北”等"
+                            },
+                            "distance": {"type": "number", "minimum": 0}
+                        },
+                        "required": ["base", "direction_text", "distance"]
+                    }
+                }
+            }
+        ]
+
+    def _normalize_tool_calls(self, tool_calls: list) -> list[dict]:
+        normalized = []
+        for call in tool_calls:
+            if hasattr(call, "function"):
+                normalized.append(
+                    {
+                        "id": getattr(call, "id", None),
+                        "name": call.function.name,
+                        "arguments": call.function.arguments,
+                    }
+                )
+            elif isinstance(call, dict):
+                normalized.append(
+                    {
+                        "id": call.get("id"),
+                        "name": (call.get("function") or {}).get("name"),
+                        "arguments": (call.get("function") or {}).get("arguments"),
+                    }
+                )
+        return normalized
+
+    def _execute_tool_calls(self, tool_calls: list) -> list[dict]:
+        tool_messages = []
+        normalized = self._normalize_tool_calls(tool_calls)
+        for call in normalized:
+            tool_name = call.get("name")
+            tool_args = call.get("arguments")
+            tool_id = call.get("id")
+            if not tool_name:
+                logging.warning("工具调用缺少名称，已忽略。")
+                continue
+            try:
+                args = json.loads(tool_args or "{}")
+            except json.JSONDecodeError:
+                logging.warning(f"工具调用参数解析失败: {tool_args}")
+                continue
+            try:
+                if tool_name == "calc_offset_enu":
+                    result = calc_offset_enu(**args)
+                elif tool_name == "calc_offset_esu_direction_text":
+                    result = calc_offset_esu_direction_text(**args)
+                else:
+                    result = {"error": f"unsupported tool: {tool_name}"}
+                tool_messages.append(
+                    {
+                        "role": "tool",
+                        "tool_call_id": tool_id,
+                        "content": json.dumps(result, ensure_ascii=False)
+                    }
+                )
+            except Exception as exc:
+                logging.warning(f"工具调用执行失败({tool_name}): {exc}")
+                tool_messages.append(
+                    {
+                        "role": "tool",
+                        "tool_call_id": tool_id,
+                        "content": json.dumps({"error": str(exc)}, ensure_ascii=False)
+                    }
+                )
+        return tool_messages
+
     def _retrieve_context(self, query: str) -> Optional[str]:
         logging.info("--- 开始从向量数据库检索上下文 ---")
         try:
@@ -629,19 +881,72 @@ class PyTreeGenerator:
             logging.error(f"从向量数据库检索时发生错误: {e}")
             return None
 
+    def _should_enable_tools(self, user_prompt: str, retrieved_context: Optional[str]) -> bool:
+        if not user_prompt:
+            return False
+
+        direction_patterns = [
+            "东边", "西边", "南边", "北边",
+            "东侧", "西侧", "南侧", "北侧",
+            "往东", "往西", "往南", "往北",
+            "向东", "向西", "向南", "向北",
+            "东南", "西南", "东北", "西北",
+            "南偏东", "南偏西", "北偏东", "北偏西",
+        ]
+        has_direction = any(pat in user_prompt for pat in direction_patterns)
+        has_distance = re.search(r"\d+(\.\d+)?\s*(米|m)", user_prompt) is not None
+        if not (has_direction and has_distance):
+            return False
+
+        if not retrieved_context:
+            return False
+
+        place_candidates: list[str] = []
+        for line in retrieved_context.splitlines():
+            if "地点：" in line or "别名：" in line:
+                place_candidates.extend(re.findall(r"'([^']+)'", line))
+        if not place_candidates:
+            return False
+
+        return any(place in user_prompt for place in place_candidates)
+
+    def _save_history(self, prompt: str, result_dict: dict):
+        """保存请求和响应历史记录"""
+        import datetime
+        try:
+            timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
+            # 确保history目录存在
+            history_dir = os.path.join(self.base_dir, '..', 'history')
+            os.makedirs(history_dir, exist_ok=True)
+            
+            history_file = os.path.join(history_dir, f"{timestamp}_plan.json")
+            
+            record = {
+                "timestamp": datetime.datetime.now().isoformat(),
+                "request": prompt,
+                "response": result_dict
+            }
+            
+            with open(history_file, 'w', encoding='utf-8') as f:
+                json.dump(record, f, ensure_ascii=False, indent=2)
+                
+            logging.info(f"💾 历史记录已保存: {history_file}")
+        except Exception as e:
+            logging.error(f"保存历史记录失败: {e}")
+
     async def generate(self, user_prompt: str) -> Dict[str, Any]:
         """
         Generates a py_tree.json structure based on the user's prompt.
         """
         logging.info(f"接收到用户请求: {user_prompt}")
         
-        # 第一步：分类（简单/复杂）
+        # 第一步：场景分类（simple/scene1/scene4）
-        mode = "complex"
+        scene_mode = "scene1"
         try:
             classifier_resp = self.classifier_client.chat.completions.create(
                 model=self.classifier_model,
                 messages=[
-                    {"role": "system", "content": self.classifier_prompt or "你是一个分类器，只输出JSON。"},
+                    {"role": "system", "content": self.scene_classifier_prompt or "你是一个分类器，只输出JSON。"},
                     {"role": "user", "content": user_prompt}
                 ],
                 temperature=0.0,
@@ -653,16 +958,23 @@ class PyTreeGenerator:
             )
             class_str = classifier_resp.choices[0].message.content
             class_obj = json.loads(class_str)
-            if isinstance(class_obj, dict) and class_obj.get("mode") in ("simple", "complex"):
+            if isinstance(class_obj, dict) and class_obj.get("mode") in ("simple", "scene1", "scene4"):
-                mode = class_obj.get("mode")
+                scene_mode = class_obj.get("mode")
-            logging.info(f"分类结果: {mode}")
+            logging.info(f"场景分类结果: {scene_mode}")
         except Exception as e:
-            logging.warning(f"分类失败，默认按复杂指令处理: {e}")
+            logging.warning(f"场景分类失败，默认按scene1处理: {e}")
 
         # 第二步：根据模式准备提示词与上下文（简单与复杂都执行检索增强）
-        # 基于模式选择提示词；复杂模式追加一条强制规则，避免模型误输出简单结构
+        # 基于场景选择提示词；非simple时追加强制规则，避免模型误输出简单结构
-        use_prompt = self.simple_prompt if mode == "simple" else (
+        if scene_mode == "simple":
-            (self.complex_prompt or "") +
+            use_prompt = self.simple_prompt
+        elif scene_mode == "scene4":
+            use_prompt = self.scene4_prompt
+        else:
+            use_prompt = self.scene1_prompt
+        if scene_mode != "simple":
+            use_prompt = (
+                (use_prompt or self.complex_prompt or "") +
                 "\n\n【强制规则】仅生成包含root的复杂行为树JSON，不得输出简单模式（不得包含mode字段或仅有action节点）。"
             )
         final_user_prompt = user_prompt
@@ -684,37 +996,92 @@ class PyTreeGenerator:
         # System Prompt: use_prompt（不包含RAG结果）
         # User Prompt: final_user_prompt（包含原始user_prompt + RAG检索结果）
         final_prompt = f"=== System Prompt ===\n{use_prompt}\n\n=== User Prompt ===\n{final_user_prompt}"
+        tool_enabled = self._should_enable_tools(user_prompt, retrieved_context)
         for attempt in range(3):
             logging.info(f"--- 第 {attempt + 1}/3 次尝试生成Pytree ---")
             try:
                 # 简单/复杂分流到不同模型与提示词
-                client = self.simple_llm_client if mode == "simple" else self.complex_llm_client
+                is_simple = scene_mode == "simple"
-                model_name = self.simple_model if mode == "simple" else self.complex_model
+                client = self.simple_llm_client if is_simple else self.complex_llm_client
+                model_name = self.simple_model if is_simple else self.complex_model
+                messages = [
+                    {"role": "system", "content": use_prompt},
+                    {"role": "user", "content": final_user_prompt}
+                ]
                 # 始终强制JSON响应并禁用思考功能
                 response_kwargs = {
                     "model": model_name,
-                    "messages": [
+                    "messages": messages,
-                        {"role": "system", "content": use_prompt},
+                    "temperature": 0.0 if is_simple else 0.1,
-                        {"role": "user", "content": final_user_prompt}
-                    ],
-                    "temperature": 0.1 if mode == "complex" else 0.0,
                     "response_format": {"type": "json_object"},  # 始终强制JSON输出，禁用思考功能
-                    # 禁用 Qwen3 模型的思考功能（通过 extra_body 传递）
-                    # 注意：如果 API 服务器不支持此参数，会忽略
                     "extra_body": {"chat_template_kwargs": {"enable_thinking": False}}
                 }
+                if tool_enabled:
+                    response_kwargs["tools"] = self._get_tool_definitions()
+                    response_kwargs["tool_choice"] = "auto"
                 # 基于模式设定最大输出token数（直接在代码中配置）
-                response_kwargs["max_tokens"] = self.simple_max_tokens if mode == "simple" else self.complex_max_tokens
+                response_kwargs["max_tokens"] = self.simple_max_tokens if is_simple else self.complex_max_tokens
                 response = client.chat.completions.create(**response_kwargs)
+
+                # 工具调用处理：执行工具并回填后，强制模型输出JSON
+                for tool_round in range(3):
+                    try:
+                        first_msg = response.choices[0].message
+                        tool_calls = getattr(first_msg, "tool_calls", None)
+                    except Exception:
+                        first_msg = response.choices[0].get("message") if isinstance(response.choices[0], dict) else None
+                        tool_calls = (first_msg or {}).get("tool_calls")
+
+                    if not tool_calls:
+                        break
+
+                    logging.info("检测到工具调用，执行第 %d 轮工具回填。", tool_round + 1)
+                    tool_messages = self._execute_tool_calls(tool_calls)
+                    if not tool_messages:
+                        break
+
+                    tool_calls_for_messages = []
+                    for call in self._normalize_tool_calls(tool_calls):
+                        if not call.get("id") or not call.get("name"):
+                            continue
+                        tool_calls_for_messages.append(
+                            {
+                                "id": call["id"],
+                                "type": "function",
+                                "function": {
+                                    "name": call["name"],
+                                    "arguments": call.get("arguments", "")
+                                }
+                            }
+                        )
+                    messages = messages + [
+                        {
+                            "role": "assistant",
+                            "content": getattr(first_msg, "content", "") if first_msg else "",
+                            "tool_calls": tool_calls_for_messages
+                        }
+                    ] + tool_messages
+                    followup_kwargs = dict(response_kwargs)
+                    followup_kwargs["messages"] = messages
+                    followup_kwargs.pop("tools", None)
+                    followup_kwargs.pop("tool_choice", None)
+                    response = client.chat.completions.create(**followup_kwargs)
+                    break
                 # 兼容可能存在的 reasoning_content 字段
                 try:
                     msg = response.choices[0].message
                     msg_content = getattr(msg, "content", None)
                     msg_reasoning = getattr(msg, "reasoning_content", None)
+                    remaining_tool_calls = getattr(msg, "tool_calls", None)
                 except Exception:
                     msg = response.choices[0]["message"] if isinstance(response.choices[0], dict) else None
                     msg_content = (msg or {}).get("content") if isinstance(msg, dict) else None
                     msg_reasoning = (msg or {}).get("reasoning_content") if isinstance(msg, dict) else None
+                    remaining_tool_calls = (msg or {}).get("tool_calls") if isinstance(msg, dict) else None
+
+                if (msg_content is None or str(msg_content).strip() == "") and remaining_tool_calls:
+                    logging.warning("模型仍在请求工具调用，未返回JSON内容，重试下一次。")
+                    continue
 
                 combined_text = ""
                 if isinstance(msg_reasoning, str) and msg_reasoning.strip():
@@ -725,7 +1092,7 @@ class PyTreeGenerator:
                 pytree_str = combined_text if combined_text else (msg_content or "")
                 raw_full_text_for_logging = pytree_str  # 保存完整原文（含 <think>）以便失败时完整打印
 
-                # 提取 <think> 推理链内容（若存在）
+                # 提取 <think> 推理链内容（若有）
                 reasoning_text = None
                 try:
                     think_match = re.search(r"<think>([\s\S]*?)</think>", pytree_str)
@@ -777,7 +1144,7 @@ class PyTreeGenerator:
                     continue
 
                 # 简单/复杂分别验证与返回
-                if mode == "simple":
+                if scene_mode == "simple":
                     try:
                         jsonschema.validate(instance=pytree_dict, schema=self.simple_schema)
                         # 手动检查：简单模式的root节点不能有children（或children必须是空数组）
@@ -825,51 +1192,13 @@ class PyTreeGenerator:
                         logging.warning(f"保存推理链Markdown失败: {e}")
                     # 添加 final_prompt 到返回结果
                     pytree_dict['final_prompt'] = final_prompt
+                    
+                    # 保存历史记录
+                    self._save_history(user_prompt, pytree_dict)
+                    
                     return pytree_dict
 
-                # 复杂模式回退：若模型误返回简单结构（root是单个action），则自动包装为含安全监控的行为树
+                # 验证生成的复杂行为树
-                if mode == "complex" and isinstance(pytree_dict, dict) and 'root' in pytree_dict:
-                    root_node = pytree_dict.get('root', {})
-                    # 检查是否是简单结构（root是单个action节点，没有children）
-                    if (root_node.get('type') == 'action' and 
-                        ('children' not in root_node or not root_node.get('children'))):
-                        try:
-                            jsonschema.validate(instance=pytree_dict, schema=self.simple_schema)
-                            logging.warning("⚠️ 复杂模式生成了简单结构（单个action），触发自动包装为完整行为树的回退逻辑。")
-                            action_name = root_node.get('name')
-                            action_params = root_node.get('params') if isinstance(root_node.get('params'), dict) else {}
-
-                            safety_selector = {
-                                "type": "Selector",
-                                "name": "SafetyMonitor",
-                                "params": {"memory": True},
-                                "children": [
-                                    {"type": "condition", "name": "battery_above", "params": {"threshold": 0.3}},
-                                    {"type": "condition", "name": "gps_status", "params": {"min_satellites": 8}},
-                                    {"type": "Sequence", "name": "EmergencyHandler", "children": [
-                                        {"type": "action", "name": "emergency_return", "params": {"reason": "safety_breach"}},
-                                        {"type": "action", "name": "land", "params": {"mode": "home"}}
-                                    ]}
-                                ]
-                            }
-
-                            main_children = [{"type": "action", "name": action_name, "params": action_params}]
-                            if action_name != "land":
-                                main_children.append({"type": "action", "name": "land", "params": {"mode": "home"}})
-
-                            root_parallel = {
-                                "type": "Parallel",
-                                "name": "MissionWithSafety",
-                                "params": {"policy": "all_success"},
-                                "children": [
-                                    {"type": "Sequence", "name": "MainTask", "children": main_children},
-                                    safety_selector
-                                ]
-                            }
-                            pytree_dict = {"root": root_parallel}
-                        except jsonschema.ValidationError:
-                            # 不符合简单结构，按正常复杂验证继续
-                            pass
                 if _validate_pytree_with_schema(pytree_dict, self.schema):
                     logging.info("✅ 成功生成并验证了Pytree")
                     plan_id = str(uuid.uuid4())
@@ -901,6 +1230,10 @@ class PyTreeGenerator:
                         logging.warning(f"保存推理链Markdown失败: {e}")
                     # 添加 final_prompt 到返回结果
                     pytree_dict['final_prompt'] = final_prompt
+                    
+                    # 保存历史记录
+                    self._save_history(user_prompt, pytree_dict)
+                    
                     return pytree_dict
                 else:
                     # 打印未通过验证的Pytree以便排查

backend_service/src/tools/__init__.py

@@ -0,0 +1 @@
+"""工具模块包。"""

backend_service/src/tools/coordinate_tools.py

@@ -0,0 +1,110 @@
+from __future__ import annotations
+
+import math
+import re
+from typing import Dict, Tuple
+
+
+_DIRECTION_DELTAS: Dict[str, Tuple[int, int, int]] = {
+    "east": (1, 0, 0),
+    "west": (-1, 0, 0),
+    "north": (0, -1, 0),
+    "south": (0, 1, 0),
+    "up": (0, 0, 1),
+    "down": (0, 0, -1),
+}
+
+
+def calc_offset_enu(base: Dict[str, float], direction: str, distance: float) -> Dict[str, float]:
+    """在ENU坐标系下按方向偏移固定距离。"""
+    if distance < 0:
+        raise ValueError("distance must be non-negative")
+    if not isinstance(base, dict):
+        raise ValueError("base must be an object with x/y/z")
+
+    direction_key = (direction or "").strip().lower()
+    if direction_key not in _DIRECTION_DELTAS:
+        raise ValueError(f"unsupported direction: {direction}")
+
+    try:
+        x = float(base["x"])
+        y = float(base["y"])
+        z = float(base["z"])
+    except Exception as exc:
+        raise ValueError("base must contain numeric x/y/z") from exc
+
+    dx, dy, dz = _DIRECTION_DELTAS[direction_key]
+    offset_x = x + dx * distance
+    offset_y = y + dy * distance
+    offset_z = z + dz * distance
+
+    return {"x": offset_x, "y": offset_y, "z": offset_z}
+
+
+_DIRECTION_TEXT_DIAGONALS_ESU: Dict[str, Tuple[float, float]] = {
+    "东南": (1.0, 1.0),
+    "西南": (-1.0, 1.0),
+    "东北": (1.0, -1.0),
+    "西北": (-1.0, -1.0),
+}
+
+
+def _parse_direction_text_esu(direction_text: str) -> Tuple[float, float]:
+    text = (direction_text or "").strip().replace(" ", "")
+    if not text:
+        raise ValueError("direction_text must be a non-empty string")
+
+    for prefix in ("向", "正"):
+        if text.startswith(prefix):
+            text = text[len(prefix):]
+
+    if text in _DIRECTION_TEXT_DIAGONALS_ESU:
+        x, y = _DIRECTION_TEXT_DIAGONALS_ESU[text]
+        length = math.hypot(x, y)
+        return x / length, y / length
+
+    if text in ("东", "西", "南", "北"):
+        if text == "东":
+            return 1.0, 0.0
+        if text == "西":
+            return -1.0, 0.0
+        if text == "南":
+            return 0.0, 1.0
+        return 0.0, -1.0
+
+    match = re.match(r"^(南|北)偏(东|西)(\d+(?:\.\d+)?)度?$", text)
+    if match:
+        base_dir, toward_dir, angle_str = match.groups()
+        angle_deg = float(angle_str)
+        if angle_deg < 0 or angle_deg > 90:
+            raise ValueError("angle must be between 0 and 90 degrees")
+        angle_rad = math.radians(angle_deg)
+        x_sign = 1.0 if toward_dir == "东" else -1.0
+        if base_dir == "南":
+            return math.sin(angle_rad) * x_sign, math.cos(angle_rad)
+        return math.sin(angle_rad) * x_sign, -math.cos(angle_rad)
+
+    raise ValueError(f"unsupported direction_text: {direction_text}")
+
+
+def calc_offset_esu_direction_text(
+    base: Dict[str, float], direction_text: str, distance: float
+) -> Dict[str, float]:
+    """在ESU坐标系下按中文方位偏移固定距离。"""
+    if distance < 0:
+        raise ValueError("distance must be non-negative")
+    if not isinstance(base, dict):
+        raise ValueError("base must be an object with x/y/z")
+
+    try:
+        x = float(base["x"])
+        y = float(base["y"])
+        z = float(base["z"])
+    except Exception as exc:
+        raise ValueError("base must contain numeric x/y/z") from exc
+
+    dx_unit, dy_unit = _parse_direction_text_esu(direction_text)
+    offset_x = x + dx_unit * distance
+    offset_y = y + dy_unit * distance
+
+    return {"x": offset_x, "y": offset_y, "z": z}

backend_service/venv/bin/activate

@@ -41,12 +41,12 @@ case "$(uname)" in
     CYGWIN*|MSYS*|MINGW*)
         # transform D:\path\to\venv to /d/path/to/venv on MSYS and MINGW
         # and to /cygdrive/d/path/to/venv on Cygwin
-        VIRTUAL_ENV=$(cygpath /home/huangfukk/DronePlanning/backend_service/venv)
+        VIRTUAL_ENV=$(cygpath /home/a/DronePlanning/backend_service/venv)
         export VIRTUAL_ENV
         ;;
     *)
         # use the path as-is
-        export VIRTUAL_ENV=/home/huangfukk/DronePlanning/backend_service/venv
+        export VIRTUAL_ENV=/home/a/DronePlanning/backend_service/venv
         ;;
 esac
 

backend_service/venv/bin/activate.csh

@@ -9,7 +9,7 @@ alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PA
 # Unset irrelevant variables.
 deactivate nondestructive
 
-setenv VIRTUAL_ENV /home/huangfukk/DronePlanning/backend_service/venv
+setenv VIRTUAL_ENV /home/a/DronePlanning/backend_service/venv
 
 set _OLD_VIRTUAL_PATH="$PATH"
 setenv PATH "$VIRTUAL_ENV/"bin":$PATH"

backend_service/venv/bin/activate.fish

@@ -33,7 +33,7 @@ end
 # Unset irrelevant variables.
 deactivate nondestructive
 
-set -gx VIRTUAL_ENV /home/huangfukk/DronePlanning/backend_service/venv
+set -gx VIRTUAL_ENV /home/a/DronePlanning/backend_service/venv
 
 set -gx _OLD_VIRTUAL_PATH $PATH
 set -gx PATH "$VIRTUAL_ENV/"bin $PATH

backend_service/venv/bin/coloredlogs

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from coloredlogs.cli import main
 if __name__ == '__main__':

backend_service/venv/bin/dashscope

@@ -1,7 +0,0 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-import sys
-from dashscope.cli import main
-if __name__ == '__main__':
-    if sys.argv[0].endswith('.exe'):
-        sys.argv[0] = sys.argv[0][:-4]
-    sys.exit(main())

backend_service/venv/bin/distro

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from distro.distro import main
 if __name__ == '__main__':

backend_service/venv/bin/dotenv

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from dotenv.__main__ import cli
 if __name__ == '__main__':

backend_service/venv/bin/fastapi

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from fastapi.cli import main
 if __name__ == '__main__':

backend_service/venv/bin/filetype

@@ -0,0 +1,7 @@
+#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+import sys
+from filetype.__main__ import main
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(main())

backend_service/venv/bin/httpx

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from httpx import main
 if __name__ == '__main__':

backend_service/venv/bin/humanfriendly

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from humanfriendly.cli import main
 if __name__ == '__main__':

backend_service/venv/bin/isympy

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from isympy import main
 if __name__ == '__main__':

backend_service/venv/bin/json_repair

@@ -1,7 +0,0 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-import sys
-from json_repair.__main__ import cli
-if __name__ == '__main__':
-    if sys.argv[0].endswith('.exe'):
-        sys.argv[0] = sys.argv[0][:-4]
-    sys.exit(cli())

backend_service/venv/bin/markdown-it

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from markdown_it.cli.parse import main
 if __name__ == '__main__':

backend_service/venv/bin/mcp

@@ -1,7 +0,0 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-import sys
-from mcp.cli import app
-if __name__ == '__main__':
-    if sys.argv[0].endswith('.exe'):
-        sys.argv[0] = sys.argv[0][:-4]
-    sys.exit(app())

backend_service/venv/bin/nltk

@@ -0,0 +1,7 @@
+#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+import sys
+from nltk.cli import cli
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(cli())

backend_service/venv/bin/normalizer

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from charset_normalizer.cli import cli_detect
 if __name__ == '__main__':

backend_service/venv/bin/onnxruntime_test

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from onnxruntime.tools.onnxruntime_test import main
 if __name__ == '__main__':

backend_service/venv/bin/oxmsg

@@ -0,0 +1,7 @@
+#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+import sys
+from oxmsg.cli import oxmsg
+if __name__ == '__main__':
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
+    sys.exit(oxmsg())

backend_service/venv/bin/pip

@@ -1,8 +1,7 @@
 #!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-# -*- coding: utf-8 -*-
-import re
 import sys
 from pip._internal.cli.main import main
 if __name__ == '__main__':
-    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
     sys.exit(main())

backend_service/venv/bin/pip3

@@ -1,8 +1,7 @@
 #!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-# -*- coding: utf-8 -*-
-import re
 import sys
 from pip._internal.cli.main import main
 if __name__ == '__main__':
-    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
     sys.exit(main())

backend_service/venv/bin/pip3.13

@@ -1,8 +1,7 @@
 #!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-# -*- coding: utf-8 -*-
-import re
 import sys
 from pip._internal.cli.main import main
 if __name__ == '__main__':
-    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    if sys.argv[0].endswith('.exe'):
+        sys.argv[0] = sys.argv[0][:-4]
     sys.exit(main())

backend_service/venv/bin/pygmentize

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from pygments.cmdline import main
 if __name__ == '__main__':

backend_service/venv/bin/pyjson5

@@ -1,7 +0,0 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-import sys
-from json5.tool import main
-if __name__ == '__main__':
-    if sys.argv[0].endswith('.exe'):
-        sys.argv[0] = sys.argv[0][:-4]
-    sys.exit(main())

backend_service/venv/bin/pyproject-build

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from build.__main__ import entrypoint
 if __name__ == '__main__':

backend_service/venv/bin/pyrsa-decrypt

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from rsa.cli import decrypt
 if __name__ == '__main__':

backend_service/venv/bin/pyrsa-encrypt

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from rsa.cli import encrypt
 if __name__ == '__main__':

backend_service/venv/bin/pyrsa-keygen

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from rsa.cli import keygen
 if __name__ == '__main__':

backend_service/venv/bin/pyrsa-priv2pub

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from rsa.util import private_to_public
 if __name__ == '__main__':

backend_service/venv/bin/pyrsa-sign

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from rsa.cli import sign
 if __name__ == '__main__':

backend_service/venv/bin/pyrsa-verify

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from rsa.cli import verify
 if __name__ == '__main__':

backend_service/venv/bin/shortuuid

@@ -1,7 +0,0 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
-import sys
-from shortuuid.cli import cli
-if __name__ == '__main__':
-    if sys.argv[0].endswith('.exe'):
-        sys.argv[0] = sys.argv[0][:-4]
-    sys.exit(cli())

backend_service/venv/bin/tqdm

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from tqdm.cli import main
 if __name__ == '__main__':

backend_service/venv/bin/watchfiles

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from watchfiles.cli import cli
 if __name__ == '__main__':

backend_service/venv/bin/websockets

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from websockets.cli import main
 if __name__ == '__main__':

backend_service/venv/bin/wsdump

@@ -1,4 +1,4 @@
-#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
+#!/home/a/DronePlanning/backend_service/venv/bin/python3
 import sys
 from websocket._wsdump import main
 if __name__ == '__main__':

backend_service/venv/lib/python3.13/site-packages/COPYING

@@ -1,29 +0,0 @@
-Copyright (c) 2011, Stavros Korokithakis
-All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are
-met:
-
-Redistributions of source code must retain the above copyright notice,
-this list of conditions and the following disclaimer.
-
-Redistributions in binary form must reproduce the above copyright
-notice, this list of conditions and the following disclaimer in the
-documentation and/or other materials provided with the distribution.
-
-Neither the name of Stochastic Technologies nor the names of its
-contributors may be used to endorse or promote products derived from
-this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
-A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
-SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
-LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
-DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
-THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

backend_service/venv/lib/python3.13/site-packages/OleFileIO_PL.py

@@ -0,0 +1,37 @@
+#!/usr/local/bin/python
+# -*- coding: latin-1 -*-
+"""
+olefile (formerly OleFileIO_PL)
+
+Module to read/write Microsoft OLE2 files (also called Structured Storage or
+Microsoft Compound Document File Format), such as Microsoft Office 97-2003
+documents, Image Composer and FlashPix files, Outlook messages, ...
+This version is compatible with Python 2.6+ and 3.x
+
+Project website: http://www.decalage.info/olefile
+
+olefile is copyright (c) 2005-2015 Philippe Lagadec (http://www.decalage.info)
+
+olefile is based on the OleFileIO module from the PIL library v1.1.6
+See: http://www.pythonware.com/products/pil/index.htm
+
+The Python Imaging Library (PIL) is
+    Copyright (c) 1997-2005 by Secret Labs AB
+    Copyright (c) 1995-2005 by Fredrik Lundh
+
+See source code and LICENSE.txt for information on usage and redistribution.
+"""
+
+# The OleFileIO_PL module is for backward compatibility
+
+try:
+    # first try to import olefile for Python 2.6+/3.x
+    from olefile.olefile import *
+    # import metadata not covered by *:
+    from olefile.olefile import __version__, __author__, __date__
+
+except:
+    # if it fails, fallback to the old version olefile2 for Python 2.x:
+    from olefile.olefile2 import *
+    # import metadata not covered by *:
+    from olefile.olefile2 import __doc__, __version__, __author__, __date__

backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/AUTHORS.rst

@@ -1,7 +0,0 @@
-Authors
-=======
-
-``pyjwt`` is currently written and maintained by `Jose Padilla <https://github.com/jpadilla>`_.
-Originally written and maintained by `Jeff Lindsay <https://github.com/progrium>`_.
-
-A full list of contributors can be found on GitHub’s `overview <https://github.com/jpadilla/pyjwt/graphs/contributors>`_.

backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/LICENSE

@@ -1,21 +0,0 @@
-The MIT License (MIT)
-
-Copyright (c) 2015-2022 José Padilla
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.

backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/METADATA

@@ -1,106 +0,0 @@
-Metadata-Version: 2.1
-Name: PyJWT
-Version: 2.10.1
-Summary: JSON Web Token implementation in Python
-Author-email: Jose Padilla <hello@jpadilla.com>
-License: MIT
-Project-URL: Homepage, https://github.com/jpadilla/pyjwt
-Keywords: json,jwt,security,signing,token,web
-Classifier: Development Status :: 5 - Production/Stable
-Classifier: Intended Audience :: Developers
-Classifier: License :: OSI Approved :: MIT License
-Classifier: Natural Language :: English
-Classifier: Programming Language :: Python
-Classifier: Programming Language :: Python :: 3
-Classifier: Programming Language :: Python :: 3 :: Only
-Classifier: Programming Language :: Python :: 3.9
-Classifier: Programming Language :: Python :: 3.10
-Classifier: Programming Language :: Python :: 3.11
-Classifier: Programming Language :: Python :: 3.12
-Classifier: Programming Language :: Python :: 3.13
-Classifier: Topic :: Utilities
-Requires-Python: >=3.9
-Description-Content-Type: text/x-rst
-License-File: LICENSE
-License-File: AUTHORS.rst
-Provides-Extra: crypto
-Requires-Dist: cryptography>=3.4.0; extra == "crypto"
-Provides-Extra: dev
-Requires-Dist: coverage[toml]==5.0.4; extra == "dev"
-Requires-Dist: cryptography>=3.4.0; extra == "dev"
-Requires-Dist: pre-commit; extra == "dev"
-Requires-Dist: pytest<7.0.0,>=6.0.0; extra == "dev"
-Requires-Dist: sphinx; extra == "dev"
-Requires-Dist: sphinx-rtd-theme; extra == "dev"
-Requires-Dist: zope.interface; extra == "dev"
-Provides-Extra: docs
-Requires-Dist: sphinx; extra == "docs"
-Requires-Dist: sphinx-rtd-theme; extra == "docs"
-Requires-Dist: zope.interface; extra == "docs"
-Provides-Extra: tests
-Requires-Dist: coverage[toml]==5.0.4; extra == "tests"
-Requires-Dist: pytest<7.0.0,>=6.0.0; extra == "tests"
-
-PyJWT
-=====
-
-.. image:: https://github.com/jpadilla/pyjwt/workflows/CI/badge.svg
-   :target: https://github.com/jpadilla/pyjwt/actions?query=workflow%3ACI
-
-.. image:: https://img.shields.io/pypi/v/pyjwt.svg
-   :target: https://pypi.python.org/pypi/pyjwt
-
-.. image:: https://codecov.io/gh/jpadilla/pyjwt/branch/master/graph/badge.svg
-   :target: https://codecov.io/gh/jpadilla/pyjwt
-
-.. image:: https://readthedocs.org/projects/pyjwt/badge/?version=stable
-   :target: https://pyjwt.readthedocs.io/en/stable/
-
-A Python implementation of `RFC 7519 <https://tools.ietf.org/html/rfc7519>`_. Original implementation was written by `@progrium <https://github.com/progrium>`_.
-
-Sponsor
--------
-
-.. |auth0-logo| image:: https://github.com/user-attachments/assets/ee98379e-ee76-4bcb-943a-e25c4ea6d174
-   :width: 160px
-
-+--------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-| |auth0-logo| | If you want to quickly add secure token-based authentication to Python projects, feel free to check Auth0's Python SDK and free plan at `auth0.com/signup <https://auth0.com/signup?utm_source=external_sites&utm_medium=pyjwt&utm_campaign=devn_signup>`_. |
-+--------------+-----------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-
-Installing
-----------
-
-Install with **pip**:
-
-.. code-block:: console
-
-    $ pip install PyJWT
-
-
-Usage
------
-
-.. code-block:: pycon
-
-    >>> import jwt
-    >>> encoded = jwt.encode({"some": "payload"}, "secret", algorithm="HS256")
-    >>> print(encoded)
-    eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb21lIjoicGF5bG9hZCJ9.4twFt5NiznN84AWoo1d7KO1T_yoc0Z6XOpOVswacPZg
-    >>> jwt.decode(encoded, "secret", algorithms=["HS256"])
-    {'some': 'payload'}
-
-Documentation
--------------
-
-View the full docs online at https://pyjwt.readthedocs.io/en/stable/
-
-
-Tests
------
-
-You can run tests from the project root after cloning with:
-
-.. code-block:: console
-
-    $ tox

backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/RECORD

@@ -1,32 +0,0 @@
-PyJWT-2.10.1.dist-info/AUTHORS.rst,sha256=klzkNGECnu2_VY7At89_xLBF3vUSDruXk3xwgUBxzwc,322
-PyJWT-2.10.1.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
-PyJWT-2.10.1.dist-info/LICENSE,sha256=eXp6ICMdTEM-nxkR2xcx0GtYKLmPSZgZoDT3wPVvXOU,1085
-PyJWT-2.10.1.dist-info/METADATA,sha256=EkewF6D6KU8SGaaQzVYfxUUU1P_gs_dp1pYTkoYvAx8,3990
-PyJWT-2.10.1.dist-info/RECORD,,
-PyJWT-2.10.1.dist-info/WHEEL,sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U,91
-PyJWT-2.10.1.dist-info/top_level.txt,sha256=RP5DHNyJbMq2ka0FmfTgoSaQzh7e3r5XuCWCO8a00k8,4
-jwt/__init__.py,sha256=VB2vFKuboTjcDGeZ8r-UqK_dz3NsQSQEqySSICby8Xg,1711
-jwt/__pycache__/__init__.cpython-313.pyc,,
-jwt/__pycache__/algorithms.cpython-313.pyc,,
-jwt/__pycache__/api_jwk.cpython-313.pyc,,
-jwt/__pycache__/api_jws.cpython-313.pyc,,
-jwt/__pycache__/api_jwt.cpython-313.pyc,,
-jwt/__pycache__/exceptions.cpython-313.pyc,,
-jwt/__pycache__/help.cpython-313.pyc,,
-jwt/__pycache__/jwk_set_cache.cpython-313.pyc,,
-jwt/__pycache__/jwks_client.cpython-313.pyc,,
-jwt/__pycache__/types.cpython-313.pyc,,
-jwt/__pycache__/utils.cpython-313.pyc,,
-jwt/__pycache__/warnings.cpython-313.pyc,,
-jwt/algorithms.py,sha256=cKr-XEioe0mBtqJMCaHEswqVOA1Z8Purt5Sb3Bi-5BE,30409
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-jwt/api_jws.py,sha256=aM8vzqQf6mRrAw7bRy-Moj_pjWsKSVQyYK896AfMjJU,11762
-jwt/api_jwt.py,sha256=OGT4hok1l5A6FH_KdcrU5g6u6EQ8B7em0r9kGM9SYgA,14512
-jwt/exceptions.py,sha256=bUIOJ-v9tjopTLS-FYOTc3kFx5WP5IZt7ksN_HE1G9Q,1211
-jwt/help.py,sha256=vFdNzjQoAch04XCMYpCkyB2blaqHAGAqQrtf9nSPkdk,1808
-jwt/jwk_set_cache.py,sha256=hBKmN-giU7-G37L_XKgc_OZu2ah4wdbj1ZNG_GkoSE8,959
-jwt/jwks_client.py,sha256=p9b-IbQqo2tEge9Zit3oSPBFNePqwho96VLbnUrHUWs,4259
-jwt/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
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-

backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/top_level.txt

@@ -1 +0,0 @@
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backend_service/venv/lib/python3.13/site-packages/agentscope-1.0.7.dist-info/METADATA

@@ -1,547 +0,0 @@
-Metadata-Version: 2.4
-Name: agentscope
-Version: 1.0.7
-Summary: AgentScope: A Flexible yet Robust Multi-Agent Platform.
-Author-email: SysML team of Alibaba Tongyi Lab <gaodawei.gdw@alibaba-inc.com>
-License-Expression: Apache-2.0
-Project-URL: Homepage, https://github.com/agentscope-ai/agentscope
-Project-URL: Documentation, https://doc.agentscope.io/
-Project-URL: Repository, https://github.com/agentscope-ai/agentscope
-Keywords: deep-learning,multi agents,agents
-Classifier: Development Status :: 4 - Beta
-Classifier: Programming Language :: Python :: 3
-Classifier: Programming Language :: Python :: 3.10
-Classifier: Operating System :: OS Independent
-Classifier: Intended Audience :: Developers
-Classifier: Intended Audience :: Science/Research
-Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
-Requires-Python: >=3.10
-Description-Content-Type: text/markdown
-License-File: LICENSE
-Requires-Dist: aioitertools
-Requires-Dist: anthropic
-Requires-Dist: dashscope
-Requires-Dist: docstring_parser
-Requires-Dist: json5
-Requires-Dist: json_repair
-Requires-Dist: mcp>=1.13
-Requires-Dist: numpy
-Requires-Dist: openai
-Requires-Dist: python-datauri
-Requires-Dist: opentelemetry-api
-Requires-Dist: opentelemetry-sdk
-Requires-Dist: opentelemetry-exporter-otlp
-Requires-Dist: python-socketio
-Requires-Dist: shortuuid
-Requires-Dist: tiktoken
-Requires-Dist: sounddevice
-Provides-Extra: full
-Requires-Dist: ollama>=0.5.4; extra == "full"
-Requires-Dist: google-genai; extra == "full"
-Requires-Dist: Pillow; extra == "full"
-Requires-Dist: transformers; extra == "full"
-Requires-Dist: jinja2; extra == "full"
-Requires-Dist: ray; extra == "full"
-Requires-Dist: mem0ai; extra == "full"
-Requires-Dist: packaging; extra == "full"
-Requires-Dist: pypdf; extra == "full"
-Requires-Dist: python-docx; extra == "full"
-Requires-Dist: nltk; extra == "full"
-Requires-Dist: qdrant-client; extra == "full"
-Provides-Extra: dev
-Requires-Dist: agentscope[full]; extra == "dev"
-Requires-Dist: pre-commit; extra == "dev"
-Requires-Dist: pytest; extra == "dev"
-Requires-Dist: sphinx-gallery; extra == "dev"
-Requires-Dist: furo; extra == "dev"
-Requires-Dist: myst_parser; extra == "dev"
-Requires-Dist: matplotlib; extra == "dev"
-Requires-Dist: pymilvus[milvus_lite]; extra == "dev"
-Requires-Dist: reme-ai>=0.1.10.7; python_full_version >= "3.12" and extra == "dev"
-Dynamic: license-file
-
-[**中文主页**](https://github.com/agentscope-ai/agentscope/blob/main/README_zh.md) | [**Tutorial**](https://doc.agentscope.io/) | [**Roadmap**](https://github.com/agentscope-ai/agentscope/blob/main/docs/roadmap.md) | [**FAQ**](https://doc.agentscope.io/tutorial/faq.html)
-
-<p align="center">
-  <img
-    src="https://img.alicdn.com/imgextra/i1/O1CN01nTg6w21NqT5qFKH1u_!!6000000001621-55-tps-550-550.svg"
-    alt="AgentScope Logo"
-    width="200"
-  />
-</p>
-
-<h2 align="center">AgentScope: Agent-Oriented Programming for Building LLM Applications</h2>
-
-<p align="center">
-    <a href="https://arxiv.org/abs/2402.14034">
-        <img
-            src="https://img.shields.io/badge/cs.MA-2402.14034-B31C1C?logo=arxiv&logoColor=B31C1C"
-            alt="arxiv"
-        />
-    </a>
-    <a href="https://pypi.org/project/agentscope/">
-        <img
-            src="https://img.shields.io/badge/python-3.10+-blue?logo=python"
-            alt="pypi"
-        />
-    </a>
-    <a href="https://pypi.org/project/agentscope/">
-        <img
-            src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fpypi.org%2Fpypi%2Fagentscope%2Fjson&query=%24.info.version&prefix=v&logo=pypi&label=version"
-            alt="pypi"
-        />
-    </a>
-    <a href="https://doc.agentscope.io/">
-        <img
-            src="https://img.shields.io/badge/Docs-English%7C%E4%B8%AD%E6%96%87-blue?logo=markdown"
-            alt="docs"
-        />
-    </a>
-    <a href="https://agentscope.io/">
-        <img
-            src="https://img.shields.io/badge/GUI-AgentScope_Studio-blue?logo=look&logoColor=green&color=dark-green"
-            alt="workstation"
-        />
-    </a>
-    <a href="./LICENSE">
-        <img
-            src="https://img.shields.io/badge/license-Apache--2.0-black"
-            alt="license"
-        />
-    </a>
-</p>
-
-<p align="center">
-<img src="https://trendshift.io/api/badge/repositories/10079" alt="modelscope%2Fagentscope | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
-</p>
-
-## ✨ Why AgentScope?
-
-Easy for beginners, powerful for experts.
-
-<p align="center">
-<img src="./assets/images/agentscope_v1_0822.png" alt="AgentScope Framework" width="80%"/>
-</p>
-
-- **Transparent to Developers**: Transparent is our **FIRST principle**. Prompt engineering, API invocation, agent building, workflow orchestration, all are visible and controllable for developers. No deep encapsulation or implicit magic.
-- **[Realtime Steering](https://doc.agentscope.io/tutorial/task_agent.html#realtime-steering)**: Native support for realtime interruption and customized handling.
-- **More Agentic**: Support [agentic tools management](https://doc.agentscope.io/tutorial/task_tool.html), [agentic long-term memory control](https://doc.agentscope.io/tutorial/task_long_term_memory.html) and agentic RAG, etc.
-- **Model Agnostic**: Programming once, run with all models.
-- **LEGO-style Agent Building**: All components are **modular** and **independent**.
-- **Multi-Agent Oriented**: Designed for **multi-agent**, **explicit** message passing and workflow orchestration, NO deep encapsulation.
-- **Highly Customizable**: Tools, prompt, agent, workflow, third-party libs & visualization, customization is encouraged everywhere.
-
-Quick overview of important features in **AgentScope 1.0**:
-
-| Module     | Feature                                                                            | Tutorial                                                                |
-|------------|------------------------------------------------------------------------------------|-------------------------------------------------------------------------|
-| model      | Support async invocation                                                           | [Model](https://doc.agentscope.io/tutorial/task_model.html)             |
-|            | Support reasoning model                                                            |                                                                         |
-|            | Support streaming/non-streaming returns                                            |                                                                         |
-| tool       | Support async/sync tool functions                                                  | [Tool](https://doc.agentscope.io/tutorial/task_tool.html)               |
-|            | Support streaming/non-streaming returns                                            |                                                                         |
-|            | Support user interruption                                                          |                                                                         |
-|            | Support post-processing                                                            |                                                                         |
-|            | Support group-wise tools management                                                |                                                                         |
-|            | Support agentic tools management by meta tool                                      |                                                                         |
-| MCP        | Support streamable HTTP/SSE/StdIO transport                                        | [MCP](https://doc.agentscope.io/tutorial/task_mcp.html)                 |
-|            | Support both **stateful** and **stateless** mode MCP Client                        |                                                                         |
-|            | Support client- & function-level fine-grained control                              |                                                                         |
-| agent      | Support async execution                                                            |                                                                         |
-|            | Support parallel tool calls                                                        |                                                                         |
-|            | Support realtime steering interruption and customized handling                     |                                                                         |
-|            | Support automatic state management                                                 |                                                                         |
-|            | Support agent-controlled long-term memory                                          |                                                                         |
-|            | Support agent hooks                                                                |                                                                         |
-| tracing    | Support OpenTelemetry-based tracing in LLM, tools, agent and formatter             | [Tracing](https://doc.agentscope.io/tutorial/task_tracing.html)         |
-|            | Support connecting to third-party tracing platforms (e.g. Arize-Phoenix, Langfuse) |                                                                         |
-| memory     | Support long-term memory                                                           | [Memory](https://doc.agentscope.io/tutorial/task_long_term_memory.html) |
-| session    | Provide session/application-level automatic state management                       | [Session](https://doc.agentscope.io/tutorial/task_state.html)           |
-| evaluation | Provide distributed and parallel evaluation                                        | [Evaluation](https://doc.agentscope.io/tutorial/task_eval.html)         |
-| formatter  | Support multi-agent prompt formatting with tools API                               | [Prompt Formatter](https://doc.agentscope.io/tutorial/task_prompt.html) |
-|            | Support truncation-based formatter strategy                                        |                                                                         |
-| plan       | Support ReAct-based long-term planning                                             | [Plan](https://doc.agentscope.io/tutorial/task_plan.html)               |
-|            | Support manual plan specification                                                  |                                                                         |
-| RAG        | Support agentic RAG                                                                | [RAG](https://doc.agentscope.io/tutorial/task_rag.html)                 |
-|            | Support multimodal RAG                                                             |                                                                         |
-| ...        |                                                                                    |                                                                         |
-
-## 📢 News
-- **[2025-11]** [Contributing Guide](./CONTRIBUTING.md) is online now! Welcome to contribute to AgentScope.
-- **[2025-09]** **RAG** module in AgentScope 1.0 is online now! Check our [tutorial](https://doc.agentscope.io/tutorial/task_rag.html) and [example](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag) for more details.
-- **[2025-09]** **Voice agent** is online! `ReActAgent` supports Qwen-Omni and GPT-Audio natively now, check our [new example](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent) and [roadmap](https://github.com/agentscope-ai/agentscope/issues/773).
-- **[2025-09]** A new powerful 📋**Plan** module is online now! Check out the [tutorial](https://doc.agentscope.io/tutorial/task_plan.html) for more details.
-- **[2025-09]** **AgentScope Runtime** is open-sourced now! Enabling effective agent deployment with sandboxed tool execution for production-ready AI applications. Check out the [GitHub repo](https://github.com/agentscope-ai/agentscope-runtime).
-- **[2025-09]** **AgentScope Studio** is open-sourced now! Check out the [GitHub repo](https://github.com/agentscope-ai/agentscope-studio).
-- **[2025-08]** The new tutorial of v1 is online now! Check out the [tutorial](https://doc.agentscope.io) for more details.
-- **[2025-08]** 🎉🎉 AgentScope v1 is released now! This version fully embraces the asynchronous execution, providing many new features and improvements. Check out [changelog](https://github.com/agentscope-ai/agentscope/blob/main/docs/changelog.md) for detailed changes.
-
-## 💬 Contact
-
-Welcome to join our community on
-
-| [Discord](https://discord.gg/eYMpfnkG8h)                                                                                         | DingTalk                                                                                                                          |
-|----------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|
-| <img src="https://gw.alicdn.com/imgextra/i1/O1CN01hhD1mu1Dd3BWVUvxN_!!6000000000238-2-tps-400-400.png" width="100" height="100"> | <img src="https://img.alicdn.com/imgextra/i1/O1CN01LxzZha1thpIN2cc2E_!!6000000005934-2-tps-497-477.png" width="100" height="100"> |
-
-<!-- START doctoc generated TOC please keep comment here to allow auto update -->
-<!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
-## 📑 Table of Contents
-
-- [🚀 Quickstart](#-quickstart)
-  - [💻 Installation](#-installation)
-    - [🛠️ From source](#-from-source)
-    - [🔄 Using uv (recommended for faster installs)](#-using-uv-recommended-for-faster-installs)
-    - [📦 From PyPi](#-from-pypi)
-- [📝 Example](#-example)
-  - [👋 Hello AgentScope!](#-hello-agentscope)
-  - [🎯 Realtime Steering](#-realtime-steering)
-  - [🛠️ Fine-Grained MCP Control](#-fine-grained-mcp-control)
-  - [🧑‍🤝‍🧑 Multi-Agent Conversation](#-multi-agent-conversation)
-  - [💻 AgentScope Studio](#-agentscope-studio)
-- [📖 Documentation](#-documentation)
-- [🤝 Contributing](#-contributing)
-- [⚖️ License](#-license)
-- [📚 Publications](#-publications)
-- [✨ Contributors](#-contributors)
-
-<!-- END doctoc generated TOC please keep comment here to allow auto update -->
-
-## 🚀 Quickstart
-
-### 💻 Installation
-
-> AgentScope requires **Python 3.10** or higher.
-
-#### 🛠️ From source
-
-```bash
-# Pull the source code from GitHub
-git clone -b main https://github.com/agentscope-ai/agentscope.git
-
-# Install the package in editable mode
-cd agentscope
-pip install -e .
-```
-
-#### 🔄 Using uv (recommended for faster installs)
-
-[uv](https://github.com/astral-sh/uv) is a fast Python package installer and resolver, written in Rust.
-
-```bash
-# Clone the repository
-git clone -b main https://github.com/agentscope-ai/agentscope.git
-cd agentscope
-
-# Install with uv
-uv pip install -e .
-```
-
-#### 📦 From PyPi
-
-```bash
-pip install agentscope
-```
-
-Or with uv:
-
-```bash
-uv pip install agentscope
-```
-
-## 📝 Example
-
-### 👋 Hello AgentScope!
-
-Start with a conversation between user and a ReAct agent 🤖 named "Friday"!
-
-```python
-from agentscope.agent import ReActAgent, UserAgent
-from agentscope.model import DashScopeChatModel
-from agentscope.formatter import DashScopeChatFormatter
-from agentscope.memory import InMemoryMemory
-from agentscope.tool import Toolkit, execute_python_code, execute_shell_command
-import os, asyncio
-
-
-async def main():
-    toolkit = Toolkit()
-    toolkit.register_tool_function(execute_python_code)
-    toolkit.register_tool_function(execute_shell_command)
-
-    agent = ReActAgent(
-        name="Friday",
-        sys_prompt="You're a helpful assistant named Friday.",
-        model=DashScopeChatModel(
-            model_name="qwen-max",
-            api_key=os.environ["DASHSCOPE_API_KEY"],
-            stream=True,
-        ),
-        memory=InMemoryMemory(),
-        formatter=DashScopeChatFormatter(),
-        toolkit=toolkit,
-    )
-
-    user = UserAgent(name="user")
-
-    msg = None
-    while True:
-        msg = await agent(msg)
-        msg = await user(msg)
-        if msg.get_text_content() == "exit":
-            break
-
-asyncio.run(main())
-```
-
-### 🎯 Realtime Steering
-
-Natively support **realtime interruption** in ``ReActAgent`` with robust memory preservation, and convert interruption into an **observable event** for agent to seamlessly resume conversations.
-
-<p align="center">
-  <img src="./assets/images/realtime_steering_zh.gif" alt="Realtime Steering" width="49%"/>
-  <img src="./assets/images/realtime_steering_en.gif" alt="Realtime Steering" width="49%"/>
-</p>
-
-### 🛠️ Fine-Grained MCP Control
-
-Developers can obtain the MCP tool as a **local callable function**, and use it anywhere (e.g. call directly, pass to agent, wrap into a more complex tool, etc.)
-
-```python
-from agentscope.mcp import HttpStatelessClient
-from agentscope.tool import Toolkit
-import os
-
-async def fine_grained_mcp_control():
-    # Initialize the MCP client
-    client = HttpStatelessClient(
-        name="gaode_mcp",
-        transport="streamable_http",
-        url=f"https://mcp.amap.com/mcp?key={os.environ['GAODE_API_KEY']}",
-    )
-
-    # Obtain the MCP tool as a **local callable function**, and use it anywhere
-    func = await client.get_callable_function(func_name="maps_geo")
-
-    # Option 1: Call directly
-    await func(address="Tiananmen Square", city="Beijing")
-
-    # Option 2: Pass to agent as a tool
-    toolkit = Toolkit()
-    toolkit.register_tool_function(func)
-    # ...
-
-    # Option 3: Wrap into a more complex tool
-    # ...
-```
-
-### 🧑‍🤝‍🧑 Multi-Agent Conversation
-
-AgentScope provides ``MsgHub`` and pipelines to streamline multi-agent conversations, offering efficient message routing and seamless information sharing
-
-```python
-from agentscope.pipeline import MsgHub, sequential_pipeline
-from agentscope.message import Msg
-import asyncio
-
-async def multi_agent_conversation():
-    # Create agents
-    agent1 = ...
-    agent2 = ...
-    agent3 = ...
-    agent4 = ...
-
-    # Create a message hub to manage multi-agent conversation
-    async with MsgHub(
-        participants=[agent1, agent2, agent3],
-        announcement=Msg("Host", "Introduce yourselves.", "assistant")
-    ) as hub:
-        # Speak in a sequential manner
-        await sequential_pipeline([agent1, agent2, agent3])
-        # Dynamic manage the participants
-        hub.add(agent4)
-        hub.delete(agent3)
-        await hub.broadcast(Msg("Host", "Goodbye!", "assistant"))
-
-asyncio.run(multi_agent_conversation())
-```
-
-### 💻 AgentScope Studio
-
-Use the following command to install and start AgentScope Studio, to trace and visualize your agent application.
-
-```bash
-npm install -g @agentscope/studio
-
-as_studio
-```
-
-<p align="center">
-    <img
-        src="./assets/images/home.gif"
-        width="49%"
-        alt="home"
-    />
-    <img
-        src="./assets/images/projects.gif"
-        width="49%"
-        alt="projects"
-    />
-    <img
-        src="./assets/images/runtime.gif"
-        width="49%"
-        alt="runtime"
-    />
-    <img
-        src="./assets/images/friday.gif"
-        width="49%"
-        alt="friday"
-    />
-</p>
-
-
-## 📖 Documentation
-
-- Tutorial
-  - [Installation](https://doc.agentscope.io/tutorial/quickstart_installation.html)
-  - [Key Concepts](https://doc.agentscope.io/tutorial/quickstart_key_concept.html)
-  - [Create Message](https://doc.agentscope.io/tutorial/quickstart_message.html)
-  - [ReAct Agent](https://doc.agentscope.io/tutorial/quickstart_agent.html)
-- Workflow
-  - [Conversation](https://doc.agentscope.io/tutorial/workflow_conversation.html)
-  - [Multi-Agent Debate](https://doc.agentscope.io/tutorial/workflow_multiagent_debate.html)
-  - [Concurrent Agents](https://doc.agentscope.io/tutorial/workflow_concurrent_agents.html)
-  - [Routing](https://doc.agentscope.io/tutorial/workflow_routing.html)
-  - [Handoffs](https://doc.agentscope.io/tutorial/workflow_handoffs.html)
-- FAQ
-  - [FAQ](https://doc.agentscope.io/tutorial/faq.html)
-- Task Guides
-  - [Model](https://doc.agentscope.io/tutorial/task_model.html)
-  - [Prompt Formatter](https://doc.agentscope.io/tutorial/task_prompt.html)
-  - [Tool](https://doc.agentscope.io/tutorial/task_tool.html)
-  - [Memory](https://doc.agentscope.io/tutorial/task_memory.html)
-  - [Long-Term Memory](https://doc.agentscope.io/tutorial/task_long_term_memory.html)
-  - [Agent](https://doc.agentscope.io/tutorial/task_agent.html)
-  - [Pipeline](https://doc.agentscope.io/tutorial/task_pipeline.html)
-  - [Plan](https://doc.agentscope.io/tutorial/task_plan.html)
-  - [State/Session Management](https://doc.agentscope.io/tutorial/task_state.html)
-  - [Agent Hooks](https://doc.agentscope.io/tutorial/task_hook.html)
-  - [MCP](https://doc.agentscope.io/tutorial/task_mcp.html)
-  - [AgentScope Studio](https://doc.agentscope.io/tutorial/task_studio.html)
-  - [Tracing](https://doc.agentscope.io/tutorial/task_tracing.html)
-  - [Evaluation](https://doc.agentscope.io/tutorial/task_eval.html)
-  - [Embedding](https://doc.agentscope.io/tutorial/task_embedding.html)
-  - [Token](https://doc.agentscope.io/tutorial/task_token.html)
-- API
-  - [API Docs](https://doc.agentscope.io/api/agentscope.html)
-- [Examples](https://github.com/agentscope-ai/agentscope/tree/main/examples)
-  - Functionality
-    - [MCP](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/mcp)
-    - [Plan](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/plan)
-    - [Structured Output](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/structured_output)
-    - [RAG](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/rag)
-    - [Long-Term Memory](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/long_term_memory)
-    - [Session with SQLite](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/session_with_sqlite)
-    - [Stream Printing Messages](https://github.com/agentscope-ai/agentscope/tree/main/examples/functionality/stream_printing_messages)
-  - Agent
-    - [ReAct Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/react_agent)
-    - [Voice Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/voice_agent)
-    - [Deep Research Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/deep_research_agent)
-    - [Browser-use Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/browser_agent)
-    - [Meta Planner Agent](https://github.com/agentscope-ai/agentscope/tree/main/examples/agent/meta_planner_agent)
-  - Game
-    - [Nine-player Werewolves](https://github.com/agentscope-ai/agentscope/tree/main/examples/game/werewolves)
-  - Workflow
-    - [Multi-agent Debate](https://github.com/agentscope-ai/agentscope/tree/main/examples/workflows/multiagent_debate)
-    - [Multi-agent Conversation](https://github.com/agentscope-ai/agentscope/tree/main/examples/workflows/multiagent_conversation)
-    - [Multi-agent Concurrent](https://github.com/agentscope-ai/agentscope/tree/main/examples/workflows/multiagent_concurrent)
-  - Evaluation
-    - [ACEBench](https://github.com/agentscope-ai/agentscope/tree/main/examples/evaluation/ace_bench)
-  - Training
-    - [Reinforcement learning (RL) with Trinity-RFT](https://github.com/agentscope-ai/agentscope/tree/main/examples/training/react_agent)
-
-
-## 🤝 Contributing
-
-We welcome contributions from the community! Please refer to our [CONTRIBUTING.md](./CONTRIBUTING.md) for guidelines
-on how to contribute.
-
-## ⚖️ License
-
-AgentScope is released under Apache License 2.0.
-
-## 📚 Publications
-
-If you find our work helpful for your research or application, please cite our papers.
-
-- [AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications](https://arxiv.org/abs/2508.16279)
-
-- [AgentScope: A Flexible yet Robust Multi-Agent Platform](https://arxiv.org/abs/2402.14034)
-
-```
-@article{agentscope_v1,
-    author  = {
-        Dawei Gao,
-        Zitao Li,
-        Yuexiang Xie,
-        Weirui Kuang,
-        Liuyi Yao,
-        Bingchen Qian,
-        Zhijian Ma,
-        Yue Cui,
-        Haohao Luo,
-        Shen Li,
-        Lu Yi,
-        Yi Yu,
-        Shiqi He,
-        Zhiling Luo,
-        Wenmeng Zhou,
-        Zhicheng Zhang,
-        Xuguang He,
-        Ziqian Chen,
-        Weikai Liao,
-        Farruh Isakulovich Kushnazarov,
-        Yaliang Li,
-        Bolin Ding,
-        Jingren Zhou}
-    title   = {AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications},
-    journal = {CoRR},
-    volume  = {abs/2508.16279},
-    year    = {2025},
-}
-
-@article{agentscope,
-    author  = {
-        Dawei Gao,
-        Zitao Li,
-        Xuchen Pan,
-        Weirui Kuang,
-        Zhijian Ma,
-        Bingchen Qian,
-        Fei Wei,
-        Wenhao Zhang,
-        Yuexiang Xie,
-        Daoyuan Chen,
-        Liuyi Yao,
-        Hongyi Peng,
-        Zeyu Zhang,
-        Lin Zhu,
-        Chen Cheng,
-        Hongzhu Shi,
-        Yaliang Li,
-        Bolin Ding,
-        Jingren Zhou}
-    title   = {AgentScope: A Flexible yet Robust Multi-Agent Platform},
-    journal = {CoRR},
-    volume  = {abs/2402.14034},
-    year    = {2024},
-}
-```
-
-## ✨ Contributors
-
-All thanks to our contributors:
-
-<a href="https://github.com/agentscope-ai/agentscope/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=agentscope-ai/agentscope&max=999&columns=12&anon=1" />
-</a>

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backend_service/venv/lib/python3.13/site-packages/agentscope-1.0.7.dist-info/licenses/LICENSE

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-      License. However, in accepting such obligations, You may act only
-      on Your own behalf and on Your sole responsibility, not on behalf
-      of any other Contributor, and only if You agree to indemnify,
-      defend, and hold each Contributor harmless for any liability
-      incurred by, or claims asserted against, such Contributor by reason
-      of your accepting any such warranty or additional liability.
-
-   END OF TERMS AND CONDITIONS
-
-   APPENDIX: How to apply the Apache License to your work.
-
-      To apply the Apache License to your work, attach the following
-      boilerplate notice, with the fields enclosed by brackets "[]"
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-      the brackets!)  The text should be enclosed in the appropriate
-      comment syntax for the file format. We also recommend that a
-      file or class name and description of purpose be included on the
-      same "printed page" as the copyright notice for easier
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-
-   Copyright 2024 Alibaba
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
-
-       http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-   See the License for the specific language governing permissions and
-   limitations under the License.
-
-
-
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-
-
-Some codes of tests/run.py is modified from
-https://github.com/alibaba/FederatedScope/blob/master/tests/run.py, which is
-also licensed under the terms of the Apache 2.0.
-
-
---------------------------------------------------------------------------------
-
-Code in src/agentscope/web/static/js/socket.io.js is adapted from
-https://cdnjs.cloudflare.com/ajax/libs/socket.io/3.1.3/socket.io.js (MIT License)
-
-Copyright (c) 2014-2021 Guillermo Rauch
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
---------------------------------------------------------------------------------
-
-Code in src/agentscope/web/static/js/jquery-3.3.1.min.js is adapted from
-https://code.jquery.com/jquery-3.3.1.min.js (MIT License)
-
-Copyright (c) JS Foundation and other contributors
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
---------------------------------------------------------------------------------
-
-Code in src/agentscope/web/static/js/bootstrap.bundle.min.js is adapted from
-https://cdn.jsdelivr.net/npm/bootstrap@4.3.1/dist/js/bootstrap.bundle.min.js
- (MIT License)
-
-Copyright (c) 2011-2019 The Bootstrap Authors (https://github
-.com/twbs/bootstrap/graphs/contributors)
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
---------------------------------------------------------------------------------
-
-Code in src/agentscope/web/static/js/bootstrap-table.min.js is adapted from
-https://unpkg.com/bootstrap-table@1.18.0/dist/bootstrap-table.min.js (MIT
-License)
-
-Copyright (c) wenzhixin <wenzhixin2010@gmail.com> (http://wenzhixin.net.cn/)
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
---------------------------------------------------------------------------------
-
-Code in src/agentscope/web/static/css/bootstrap.min.css is adapted from
-https://cdn.jsdelivr.net/npm/bootstrap@4.3.1/dist/css/bootstrap.min.css (MIT
-License)
-
-Copyright 2011-2019 The Bootstrap Authors
-Copyright 2011-2019 Twitter, Inc.
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
-
---------------------------------------------------------------------------------
-
-Fonts in src/agentscope/web/static/fonts/KRYPTON.ttf is adapted from
-https://github.com/githubnext/monaspace (SIL Open Font License 1.1). These
-fonts are distributed with their original license. See https://github
-.com/githubnext/monaspace/blob/main/LICENSE for the full text of the license.
-The following font families are included:
-
-- Monaspace (with subfamilies: Krypton)
-
-Copyright (c) 2023, GitHub https://github.com/githubnext/monaspace
-with Reserved Font Name "Monaspace", including subfamilies: "Argon", "Neon",
-"Xenon", "Radon", and "Krypton"
-
-DISCLAIMER
-THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
-MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
-OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
-COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
-DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
-FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
-OTHER DEALINGS IN THE FONT SOFTWARE.
-
---------------------------------------------------------------------------------
-
-Fonts in src/agentscope/web/static/fonts/OSWALD.ttf is adapted from
-https://fonts.google.com/specimen/Oswald (SIL Open Font License 1.1). These
-fonts are distributed with their original license. See https://github
-.com/googlefonts/OswaldFont/blob/main/OFL.txt for the full text of the license.
-
-Copyright 2016 The Oswald Project Authors (https://github
-.com/googlefonts/OswaldFont)
-
-DISCLAIMER
-THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
-MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
-OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
-COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
-DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
-FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
-OTHER DEALINGS IN THE FONT SOFTWARE.
-
---------------------------------------------------------------------------------

backend_service/venv/lib/python3.13/site-packages/agentscope-1.0.7.dist-info/top_level.txt

@@ -1 +0,0 @@
-agentscope

backend_service/venv/lib/python3.13/site-packages/agentscope/__init__.py

@@ -1,133 +0,0 @@
-# -*- coding: utf-8 -*-
-"""The agentscope serialization module"""
-import os
-
-import requests
-
-from . import exception
-from . import module
-from . import message
-from . import model
-from . import tool
-from . import formatter
-from . import memory
-from . import agent
-from . import session
-from . import embedding
-from . import token
-from . import evaluate
-from . import pipeline
-from . import tracing
-from . import rag
-
-from ._logging import (
-    logger,
-    setup_logger,
-)
-from .hooks import _equip_as_studio_hooks
-from ._version import __version__
-
-
-def init(
-    project: str | None = None,
-    name: str | None = None,
-    logging_path: str | None = None,
-    logging_level: str = "INFO",
-    studio_url: str | None = None,
-    tracing_url: str | None = None,
-) -> None:
-    """Initialize the agentscope library.
-
-    Args:
-        project (`str | None`, optional):
-            The project name.
-        name (`str | None`, optional):
-            The name of the run.
-        logging_path (`str | None`, optional):
-            The path to saving the log file. If not provided, logs will not be
-            saved.
-        logging_level (`str | None`, optional):
-            The logging level. Defaults to "INFO".
-        studio_url (`str | None`, optional):
-            The URL of the AgentScope Studio to connect to.
-        tracing_url (`str | None`, optional):
-            The URL of the tracing endpoint, which can connect to third-party
-            OpenTelemetry tracing platforms like Arize-Phoenix and Langfuse.
-            If not provided and `studio_url` is provided, it will send traces
-            to the AgentScope Studio's tracing endpoint.
-    """
-
-    from . import _config
-
-    if project:
-        _config.project = project
-
-    if name:
-        _config.name = name
-
-    setup_logger(logging_level, logging_path)
-
-    if studio_url:
-        # Register the run
-        data = {
-            "id": _config.run_id,
-            "project": _config.project,
-            "name": _config.name,
-            "timestamp": _config.created_at,
-            "pid": os.getpid(),
-            "status": "running",
-            # Deprecated fields
-            "run_dir": "",
-        }
-        response = requests.post(
-            url=f"{studio_url}/trpc/registerRun",
-            json=data,
-        )
-        response.raise_for_status()
-
-        from .agent import UserAgent, StudioUserInput
-
-        UserAgent.override_class_input_method(
-            StudioUserInput(
-                studio_url=studio_url,
-                run_id=_config.run_id,
-                max_retries=3,
-            ),
-        )
-
-        _equip_as_studio_hooks(studio_url)
-
-    if tracing_url:
-        endpoint = tracing_url
-    else:
-        endpoint = studio_url.strip("/") + "/v1/traces" if studio_url else None
-
-    if endpoint:
-        from .tracing import setup_tracing
-
-        setup_tracing(endpoint=endpoint)
-
-
-__all__ = [
-    # modules
-    "exception",
-    "module",
-    "message",
-    "model",
-    "tool",
-    "formatter",
-    "memory",
-    "agent",
-    "session",
-    "logger",
-    "embedding",
-    "token",
-    "evaluate",
-    "pipeline",
-    "tracing",
-    "rag",
-    # functions
-    "init",
-    "setup_logger",
-    "__version__",
-]

backend_service/venv/lib/python3.13/site-packages/agentscope/_config.py

@@ -1,23 +0,0 @@
-# -*- coding: utf-8 -*-
-"""The runtime configuration in agentscope.
-
-.. note:: You should import this module as ``import ._config``, then use the
- variables defined in this module, instead of ``from ._config import xxx``.
- Because when the variables are changed, the changes will not be reflected in
- the imported module.
-"""
-from datetime import datetime
-
-import shortuuid
-
-
-def _generate_random_suffix(length: int) -> str:
-    """Generate a random suffix."""
-    return shortuuid.uuid()[:length]
-
-
-project = "UnnamedProject_At" + datetime.now().strftime("%Y%m%d")
-name = datetime.now().strftime("%H%M%S_") + _generate_random_suffix(4)
-run_id: str = shortuuid.uuid()
-created_at: str = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
-trace_enabled: bool = False

backend_service/venv/lib/python3.13/site-packages/agentscope/_logging.py

@@ -1,47 +0,0 @@
-# -*- coding: utf-8 -*-
-"""The logger for agentscope."""
-
-import logging
-
-
-_DEFAULT_FORMAT = (
-    "%(asctime)s | %(levelname)-7s | "
-    "%(module)s:%(funcName)s:%(lineno)s - %(message)s"
-)
-
-logger = logging.getLogger("as")
-
-
-def setup_logger(
-    level: str,
-    filepath: str | None = None,
-) -> None:
-    """Set up the agentscope logger.
-
-    Args:
-        level (`str`):
-            The logging level, chosen from "INFO", "DEBUG", "WARNING",
-            "ERROR", "CRITICAL".
-        filepath (`str | None`, optional):
-            The filepath to save the logging output.
-    """
-    if level not in ["INFO", "DEBUG", "WARNING", "ERROR", "CRITICAL"]:
-        raise ValueError(
-            f"Invalid logging level: {level}. Must be one of "
-            f"'INFO', 'DEBUG', 'WARNING', 'ERROR', 'CRITICAL'.",
-        )
-    logger.handlers.clear()
-    logger.setLevel(level)
-    handler = logging.StreamHandler()
-    handler.setFormatter(logging.Formatter(_DEFAULT_FORMAT))
-    logger.addHandler(handler)
-
-    if filepath:
-        handler = logging.FileHandler(filepath)
-        handler.setFormatter(logging.Formatter(_DEFAULT_FORMAT))
-        logger.addHandler(handler)
-
-    logger.propagate = False
-
-
-setup_logger("INFO")

backend_service/venv/lib/python3.13/site-packages/agentscope/_utils/_common.py

@@ -1,285 +0,0 @@
-# -*- coding: utf-8 -*-
-"""The common utilities for agentscope library."""
-import asyncio
-import base64
-import functools
-import inspect
-import json
-import os
-import tempfile
-import types
-import typing
-import uuid
-from datetime import datetime
-from typing import Union, Any, Callable, Type, Dict
-
-import requests
-from json_repair import repair_json
-from pydantic import BaseModel
-
-from .._logging import logger
-
-if typing.TYPE_CHECKING:
-    from mcp.types import Tool
-else:
-    Tool = "mcp.types.Tool"
-
-
-def _json_loads_with_repair(
-    json_str: str,
-) -> Union[dict, list, str, float, int, bool, None]:
-    """The given json_str maybe incomplete, e.g. '{"key', so we need to
-    repair and load it into a Python object.
-    """
-    repaired = json_str
-    try:
-        repaired = repair_json(json_str)
-    except Exception:
-        pass
-
-    try:
-        return json.loads(repaired)
-    except json.JSONDecodeError as e:
-        raise ValueError(
-            f"Failed to decode JSON string `{json_str}` after repairing it "
-            f"into `{repaired}`. Error: {e}",
-        ) from e
-
-
-def _is_accessible_local_file(url: str) -> bool:
-    """Check if the given URL is a local URL."""
-    return os.path.isfile(url)
-
-
-def _get_timestamp(add_random_suffix: bool = False) -> str:
-    """Get the current timestamp in the format YYYY-MM-DD HH:MM:SS.sss."""
-    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
-
-    if add_random_suffix:
-        # Add a random suffix to the timestamp
-        timestamp += f"_{os.urandom(3).hex()}"
-
-    return timestamp
-
-
-async def _is_async_func(func: Callable) -> bool:
-    """Check if the given function is an async function, including
-    coroutine functions, async generators, and coroutine objects.
-    """
-
-    return (
-        inspect.iscoroutinefunction(func)
-        or inspect.isasyncgenfunction(func)
-        or isinstance(func, types.CoroutineType)
-        or isinstance(func, types.GeneratorType)
-        and asyncio.iscoroutine(func)
-        or isinstance(func, functools.partial)
-        and await _is_async_func(func.func)
-    )
-
-
-async def _execute_async_or_sync_func(
-    func: Callable,
-    *args: Any,
-    **kwargs: Any,
-) -> Any:
-    """Execute an async or sync function based on its type.
-
-    Args:
-        func (`Callable`):
-            The function to be executed, which can be either async or sync.
-        *args (`Any`):
-            Positional arguments to be passed to the function.
-        **kwargs (`Any`):
-            Keyword arguments to be passed to the function.
-
-    Returns:
-        `Any`:
-            The result of the function execution.
-    """
-
-    if await _is_async_func(func):
-        return await func(*args, **kwargs)
-
-    return func(*args, **kwargs)
-
-
-def _get_bytes_from_web_url(
-    url: str,
-    max_retries: int = 3,
-) -> str:
-    """Get the bytes from a given URL.
-
-    Args:
-        url (`str`):
-            The URL to fetch the bytes from.
-        max_retries (`int`, defaults to `3`):
-            The maximum number of retries.
-    """
-    for _ in range(max_retries):
-        try:
-            response = requests.get(url)
-            response.raise_for_status()
-            return response.content.decode("utf-8")
-
-        except UnicodeDecodeError:
-            return base64.b64encode(response.content).decode("ascii")
-
-        except Exception as e:
-            logger.info(
-                "Failed to fetch bytes from URL %s. Error %s. Retrying...",
-                url,
-                str(e),
-            )
-
-    raise RuntimeError(
-        f"Failed to fetch bytes from URL `{url}` after {max_retries} retries.",
-    )
-
-
-def _save_base64_data(
-    media_type: str,
-    base64_data: str,
-) -> str:
-    """Save the base64 data to a temp file and return the file path. The
-    extension is guessed from the MIME type.
-
-    Args:
-        media_type (`str`):
-            The MIME type of the data, e.g. "image/png", "audio/mpeg".
-        base64_data (`str):
-            The base64 data to be saved.
-    """
-    extension = "." + media_type.split("/")[-1]
-
-    with tempfile.NamedTemporaryFile(
-        suffix=f".{extension}",
-        delete=False,
-    ) as temp_file:
-        decoded_data = base64.b64decode(base64_data)
-        temp_file.write(decoded_data)
-        temp_file.close()
-        return temp_file.name
-
-
-def _extract_json_schema_from_mcp_tool(tool: Tool) -> dict[str, Any]:
-    """Extract JSON schema from MCP tool."""
-
-    return {
-        "type": "function",
-        "function": {
-            "name": tool.name,
-            "description": tool.description,
-            "parameters": {
-                "type": "object",
-                "properties": tool.inputSchema.get(
-                    "properties",
-                    {},
-                ),
-                "required": tool.inputSchema.get(
-                    "required",
-                    [],
-                ),
-            },
-        },
-    }
-
-
-def _remove_title_field(schema: dict) -> None:
-    """Remove the title field from the JSON schema to avoid
-    misleading the LLM."""
-    # The top level title field
-    if "title" in schema:
-        schema.pop("title")
-
-    # properties
-    if "properties" in schema:
-        for prop in schema["properties"].values():
-            if isinstance(prop, dict):
-                _remove_title_field(prop)
-
-    # items
-    if "items" in schema and isinstance(schema["items"], dict):
-        _remove_title_field(schema["items"])
-
-    # additionalProperties
-    if "additionalProperties" in schema and isinstance(
-        schema["additionalProperties"],
-        dict,
-    ):
-        _remove_title_field(
-            schema["additionalProperties"],
-        )
-
-
-def _create_tool_from_base_model(
-    structured_model: Type[BaseModel],
-    tool_name: str = "generate_structured_output",
-) -> Dict[str, Any]:
-    """Create a function tool definition from a Pydantic BaseModel.
-    This function converts a Pydantic BaseModel class into a tool definition
-    that can be used with function calling API. The resulting tool
-    definition includes the model's JSON schema as parameters, enabling
-    structured output generation by forcing the model to call this function
-    with properly formatted data.
-
-    Args:
-        structured_model (`Type[BaseModel]`):
-            A Pydantic BaseModel class that defines the expected structure
-            for the tool's output.
-        tool_name (`str`, default `"generate_structured_output"`):
-            The tool name that used to force the LLM to generate structured
-            output by calling this function.
-
-    Returns:
-        `Dict[str, Any]`: A tool definition dictionary compatible with
-            function calling API, containing type ("function") and
-            function dictionary with name, description, and parameters
-            (JSON schema).
-
-    .. code-block:: python
-        :caption: Example usage
-
-        from pydantic import BaseModel
-
-        class PersonInfo(BaseModel):
-            name: str
-            age: int
-            email: str
-
-        tool = _create_tool_from_base_model(PersonInfo, "extract_person")
-        print(tool["function"]["name"])  # extract_person
-        print(tool["type"])              # function
-
-    .. note:: The function automatically removes the 'title' field from
-        the JSON schema to ensure compatibility with function calling
-        format. This is handled by the internal ``_remove_title_field()``
-        function.
-    """
-    schema = structured_model.model_json_schema()
-
-    _remove_title_field(schema)
-    tool_definition = {
-        "type": "function",
-        "function": {
-            "name": tool_name,
-            "description": "Generate the required structured output with "
-            "this function",
-            "parameters": schema,
-        },
-    }
-    return tool_definition
-
-
-def _map_text_to_uuid(text: str) -> str:
-    """Map the given text to a deterministic UUID string.
-
-    Args:
-        text (`str`):
-            The input text to be mapped to a UUID.
-
-    Returns:
-        `str`:
-            A deterministic UUID string derived from the input text.
-    """
-    return str(uuid.uuid3(uuid.NAMESPACE_DNS, text))

backend_service/venv/lib/python3.13/site-packages/agentscope/_utils/_mixin.py

@@ -1,9 +0,0 @@
-# -*- coding: utf-8 -*-
-"""The mixin for agentscope."""
-
-
-class DictMixin(dict):
-    """The dictionary mixin that allows attribute-style access."""
-
-    __setattr__ = dict.__setitem__
-    __getattr__ = dict.__getitem__

backend_service/venv/lib/python3.13/site-packages/agentscope/_version.py

@@ -1,4 +0,0 @@
-# -*- coding: utf-8 -*-
-"""The version of agentscope."""
-
-__version__ = "1.0.7"

backend_service/venv/lib/python3.13/site-packages/agentscope/agent/__init__.py

@@ -1,24 +0,0 @@
-# -*- coding: utf-8 -*-
-"""The agent base class."""
-from ._agent_base import AgentBase
-from ._react_agent_base import ReActAgentBase
-from ._react_agent import ReActAgent
-from ._user_input import (
-    UserInputBase,
-    UserInputData,
-    TerminalUserInput,
-    StudioUserInput,
-)
-from ._user_agent import UserAgent
-
-
-__all__ = [
-    "AgentBase",
-    "ReActAgentBase",
-    "ReActAgent",
-    "UserInputData",
-    "UserInputBase",
-    "TerminalUserInput",
-    "StudioUserInput",
-    "UserAgent",
-]