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4 Commits
pipeline-b ... pipeline-l

Author SHA1 Message Date
huangfu
fb473dcf1a 删除自动降落 2026-01-08 16:09:48 +08:00
huangfu
10c5bb5a8a 增加环绕侦察场景适配 2026-01-08 15:44:38 +08:00
huangfu
3eba1f962b 解决冲突：以本地版本为准更新 system_prompt.txt 和 py_tree_generator.py 2026-01-07 16:38:40 +08:00
huangfu
6f990e645d 优化交互式测试验证脚本，针对场景4修改提示词以及代码 2026-01-02 16:28:58 +08:00
5580 changed files with 115101 additions and 402070 deletions
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.gitignore vendored
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# 图片/二进制大文件
*.png
*.jpg
*.jpeg
# 数据库文件
*.sqlite3
*.db
# 日志/缓存
logs/
*.log
__pycache__/
*.pyc
*.pid
# 测试临时文件
tools/api_test*.log
tools/test_validate/validation_*/

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backend_service/src/prompts/classifier_prompt.txt
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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。
- 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。
- 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。
输出格式（严格遵守）：
{"mode":"simple"} 或 {"mode":"complex"}
@@ -14,11 +14,11 @@
{"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"}
{"name": "preflight_checks"}, {"name": "take_picture"}
],
"conditions": [
{"name": "battery_above"}, {"name": "at_waypoint"}, {"name": "object_detected"},
{"name": "target_destroyed"}, {"name": "time_elapsed"}, {"name": "gps_status"}
{"name": "at_waypoint"}, {"name": "object_detected"},
{"name": "target_destroyed"}, {"name": "time_elapsed"}
]
}
```

12
backend_service/src/prompts/simple_mode_prompt.txt
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@@ -18,7 +18,11 @@
{"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": "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": "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": "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": "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", "speed": "float, 可选"}},
{"name": "approach_target", "description": "快速趋近目标至固定距离。", "params": {"target_class": "string, 要趋近的目标类别", "description": "string, 可选", "stop_distance": "float, 期望的最终停止距离", "speed": "float, 可选"}},
{"name": "rotate", "description": "旋转固定角度。", "params": {"angle": "float, 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", "description": "原地旋转搜索目标。", "params": {"target_class": "string, 要搜寻的目标类别", "description": "string, 可选", "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", "description": "前端弹窗是否继续执行后续任务。", "params": {}},
{"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": "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": "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"}},
@@ -29,15 +33,13 @@
{"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": "deliver_payload", "description": "投放物资。", "params": {"payload_type": "string", "release_altitude": "float[2,100], 默认5.0"}},
{"name": "preflight_checks", "description": "飞行前系统自检。", "params": {"check_level": "string: basic|comprehensive"}},
{"name": "emergency_return", "description": "执行紧急返航程序。", "params": {"reason": "string"}}
{"name": "take_picture", "description": "使用机载相机拍摄照片。", "params": {}}
],
"conditions": [
{"name": "battery_above", "description": "电池电量高于阈值。", "params": {"threshold": "float[0.0,1.0]"}},
{"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", "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", "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", "description": "时间经过。", "params": {"duration": "float[1,2700]"}},
{"name": "gps_status", "description": "GPS状态良好。", "params": {"min_satellites": "int[6,15], 默认10"}}
{"name": "time_elapsed", "description": "时间经过。", "params": {"duration": "float[1,2700]"}}
]
}
```

273
backend_service/src/prompts/system_prompt.txt
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@@ -9,21 +9,23 @@
{"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":"move_direction","params":{"direction":"north/south/east/west/forward/backward/left/right","distance":"[1,10000]，缺省持续移动","speed":"float,可选"}},
{"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":"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":"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","description":"可选，","count":"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":"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"}}
{"name":"emergency_return","params":{"reason":"string"}},
{"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","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"}},
@@ -34,6 +36,9 @@
{"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'）"}
],
"decorators": [
{"name":"SuccessIsFailure","params":{},"child":"单一子节点（将子节点的成功结果反转为失败）"}
]
}
```
@@ -42,51 +47,216 @@
## 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。
- 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）。
## 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：
## 三、标准任务结构模板（单次起降流程）
大多数任务应遵循“起飞 -> 接近 -> 执行 -> 返航/降落”的单次闭环流程，参考结构如下：
```json
{
"root": {
"type": "Parallel",
"name": "MissionWithSafety",
"params": {"policy": "all_success"},
"type": "Sequence",
"name": "MainTask",
"children": [
{"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":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) ---
{"type":"action","name":"rotate_search","params":{"target_class":"person","description":"目标描述"}},
{"type":"action","name":"object_detect","params":{"target_class":"person","description":"目标描述"}},
// -------------------------------
// 默认不需要降落节点，除非用户明确要求
]
}
}
```
## 四、场景示例（请灵活参考）
#### 场景 1：线性搜索任务（Sequence + Selector）
**指令**：“去研究所正大门，搜索扎辫子女子并拍照。”
**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": "MainTask",
"params": {},
"name": "PhotoIfFound",
"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":"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**：“飞往航点A。如果途中发现可疑人员，则悬停。”
**结构**：
```json
{
"root": {
"type": "Sequence",
"children": [
{"type":"action","name":"takeoff","params":{"altitude":10.0}},
{
"type": "Selector",
"name": "SafetyMonitor",
"params": {"memory": true},
"name": "FlyOrDetect",
"children": [
{"type":"condition","name":"battery_above","params":{"threshold":0.3}},
{"type":"condition","name":"gps_status","params":{"min_satellites":8}},
{
"type":"Sequence",
"name":"EmergencyHandler",
"params": {},
"type": "Sequence",
"name": "InterruptionLogic",
"children": [
{"type":"action","name":"emergency_return","params":{"reason":"safety_breach"}},
{"type":"action","name":"land","params":{"mode":"home"}}
{"type":"action","name":"object_detect","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：环绕侦察类任务
**指令**：“去面前的大楼三层/12米高，绕着外围看有没有打开的窗户，发现则进行拍照。”
**参考知识**：{"text": "面前的大楼外围四个点坐标：A(-24.00, 241.80),B(-108.50, 241.80),C(-108.50, 289.80),D(-24.00, 292.80)。"}
**结构**：Sequence (按顺序执行)
```json
{
"root": {
"type": "Sequence",
"name": "SurroundAndInspect",
"children": [
{"type":"action","name":"takeoff","params":{"altitude":12.0}},
// 移动到A点，并在此过程中持续检测
{
"type": "Parallel",
"name": "FlyAndInspectToA",
"children": [
{"type":"action","name":"fly_to_waypoint","params":{"x":-24.0,"y":241.8,"z":12.0}},
{
"type": "Selector",
"name": "OpportunisticPhoto",
"children": [
{
"type": "decorator",
"name": "SuccessIsFailure",
"child": {
"type": "Sequence",
"name": "DetectAndCapture",
"children": [
{"type":"action","name":"object_detect","params":{"target_class":"window","description":"open window"}},
{"type":"condition","name":"object_detected","params":{"target_class":"window","description":"open window"}},
{"type":"action","name":"take_photos","params":{"target_class":"window","description":"open window","track_time":5.0}}
]
}
},
{"type":"action","name":"loiter","params":{"duration":0.1}} // 占位动作
]
}
]
},
// 移动到B点...
{
"type": "Parallel",
"name": "FlyAndInspectToB",
"children": [
{"type":"action","name":"fly_to_waypoint","params":{"x":-108.5,"y":241.8,"z":12.0}},
{
"type": "Selector",
"name": "OpportunisticPhoto",
"children": [
{
"type": "decorator",
"name": "SuccessIsFailure",
"child": {
"type": "Sequence",
"name": "DetectAndCapture",
"children": [
{"type":"action","name":"object_detect","params":{"target_class":"window","description":"open window"}},
{"type":"condition","name":"object_detected","params":{"target_class":"window","description":"open window"}},
{"type":"action","name":"take_photos","params":{"target_class":"window","description":"open window","track_time":5.0}}
]
}
},
{"type":"action","name":"loiter","params":{"duration":0.1}}
]
}
]
},
// 移动到C点...
{
"type": "Parallel",
"name": "FlyAndInspectToC",
"children": [
{"type":"action","name":"fly_to_waypoint","params":{"x":-108.5,"y":289.8,"z":12.0}},
{
"type": "Selector",
"name": "OpportunisticPhoto",
"children": [
{
"type": "decorator",
"name": "SuccessIsFailure",
"child": {
"type": "Sequence",
"name": "DetectAndCapture",
"children": [
{"type":"action","name":"object_detect","params":{"target_class":"window","description":"open window"}},
{"type":"condition","name":"object_detected","params":{"target_class":"window","description":"open window"}},
{"type":"action","name":"take_photos","params":{"target_class":"window","description":"open window","track_time":5.0}}
]
}
},
{"type":"action","name":"loiter","params":{"duration":0.1}}
]
}
]
},
// 移动到D点...
{
"type": "Parallel",
"name": "FlyAndInspectToD",
"children": [
{"type":"action","name":"fly_to_waypoint","params":{"x":-24.0,"y":292.8,"z":12.0}},
{
"type": "Selector",
"name": "OpportunisticPhoto",
"children": [
{
"type": "decorator",
"name": "SuccessIsFailure",
"child": {
"type": "Sequence",
"name": "DetectAndCapture",
"children": [
{"type":"action","name":"object_detect","params":{"target_class":"window","description":"open window"}},
{"type":"condition","name":"object_detected","params":{"target_class":"window","description":"open window"}},
{"type":"action","name":"take_photos","params":{"target_class":"window","description":"open window","track_time":5.0}}
]
}
},
{"type":"action","name":"loiter","params":{"duration":0.1}}
]
}
]
@@ -96,22 +266,21 @@
}
```
## 五、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。
| 用户指令场景 | `target_class` | `description` |
|-----------------------------|-----------------|-------------------------|
| 红气球＞蓝气球＞绿气球 | `balloon` | `（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）` |
## 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）"}}` |
## 六、高频错误规避
1. 优先级排序不可修改`target_class`，仅用`description`填排序规则；
2. `track_object`必传`track_time`；
3. `gps_status`的`min_satellites`必须在6-15之间；
4. 严禁输出 markdown 代码块标记，直接输出 JSON 纯文本；
5. 控制流节点的 `type` 必须是 `"Sequence"`, `"Selector"` 或 `"Parallel"`；
6. rotate与rotate_search动作节点意思是无人机以自身为原点旋转，而非围绕外部点旋转
7. 当用户指令中要求执行动作前增加人工确认时，比如“我确认后拍照”，则必须在拍照动作前增加manual_confirmation节点
## 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。
## 七、输出要求
仅输出1个严格符合上述所有规则的JSON对象。

151
backend_service/src/py_tree_generator.py
View File

@@ -52,7 +52,7 @@ 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 +144,12 @@ 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 +162,44 @@ 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 +218,11 @@ 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]$"},
"name": {"const": "object_detected"}
}
},
@@ -274,11 +241,11 @@ def _generate_pytree_schema(allowed_actions: set, allowed_conditions: set) -> di
}
}
},
# 电池监控节点的参数验证
# 电池监控节点的参数验证 (忽略大小写)
{
"if": {
"properties": {
"type": {"const": "condition"},
"type": {"pattern": "^[Cc][Oo][Nn][Dd][Ii][Tt][Ii][Oo][Nn]$"},
"name": {"const": "battery_above"}
}
},
@@ -295,11 +262,11 @@ 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"}
}
},
@@ -372,10 +339,7 @@ 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
safety_valid = _validate_safety_monitoring(pytree_instance)
return True and safety_valid
return True
except jsonschema.ValidationError as e:
logging.warning("❌ Pytree验证失败")
logging.warning(f"错误信息: {e.message}")
@@ -503,6 +467,10 @@ 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 +483,14 @@ 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 +506,10 @@ 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
# 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
# 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
# child = node.get("child")
# if child:
# _add_nodes_and_edges(child, dot, current_id)
return current_id
@@ -588,7 +561,7 @@ 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
@@ -725,7 +698,7 @@ 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)
@@ -827,49 +800,7 @@ class PyTreeGenerator:
pytree_dict['final_prompt'] = final_prompt
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
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
# 验证生成的复杂行为树
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())

0
backend_service/venv/bin/Activate.ps1 Executable file → Normal file
View File

4
backend_service/venv/bin/activate Executable file → Normal file
View File

@@ -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

2
backend_service/venv/bin/activate.csh Executable file → Normal file
View File

@@ -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"

2
backend_service/venv/bin/activate.fish Executable file → Normal file
View File

@@ -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

2
backend_service/venv/bin/chroma
View File

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

2
backend_service/venv/bin/coloredlogs
View File

@@ -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__':

7
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@@ -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())

2
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@@ -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__':

2
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@@ -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__':

2
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@@ -1,4 +1,4 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
#!/home/a/DronePlanning/backend_service/venv/bin/python3
import sys
from numpy.f2py.f2py2e import main
if __name__ == '__main__':

2
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@@ -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__':

2
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View File

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

2
backend_service/venv/bin/httpx
View File

@@ -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__':

2
backend_service/venv/bin/humanfriendly
View File

@@ -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__':

2
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View File

@@ -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__':

7
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View File

@@ -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())

2
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@@ -1,4 +1,4 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
#!/home/a/DronePlanning/backend_service/venv/bin/python3
import sys
from jsonschema.cli import main
if __name__ == '__main__':

2
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@@ -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__':

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@@ -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())

2
backend_service/venv/bin/normalizer
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@@ -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__':

2
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@@ -1,4 +1,4 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
#!/home/a/DronePlanning/backend_service/venv/bin/python3
import sys
from numpy._configtool import main
if __name__ == '__main__':

2
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@@ -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__':

2
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@@ -1,4 +1,4 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
#!/home/a/DronePlanning/backend_service/venv/bin/python3
import sys
from openai.cli import main
if __name__ == '__main__':

7
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View File

@@ -1,8 +1,7 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
# -*- coding: utf-8 -*-
import re
#!/home/a/DronePlanning/backend_service/venv/bin/python3
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())

7
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View File

@@ -1,8 +1,7 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
# -*- coding: utf-8 -*-
import re
#!/home/a/DronePlanning/backend_service/venv/bin/python3
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())

7
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View File

@@ -1,8 +1,7 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
# -*- coding: utf-8 -*-
import re
#!/home/a/DronePlanning/backend_service/venv/bin/python3
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())

2
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@@ -1,4 +1,4 @@
#!/home/huangfukk/DronePlanning/backend_service/venv/bin/python3
#!/home/a/DronePlanning/backend_service/venv/bin/python3
import sys
from pybase64.__main__ import main
if __name__ == '__main__':

2
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View File

@@ -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__':

7
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@@ -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())

2
backend_service/venv/bin/pyproject-build
View File

@@ -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__':

2
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@@ -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__':

2
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@@ -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__':

2
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View File

@@ -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__':

2
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@@ -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__':

2
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View File

@@ -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__':

2
backend_service/venv/bin/pyrsa-verify
View File

@@ -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__':

2
backend_service/venv/bin/python3
View File

@@ -1 +1 @@
/home/huangfukk/miniconda3/bin/python3
/home/a/miniconda3/bin/python3

7
backend_service/venv/bin/shortuuid
View File

@@ -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())

2
backend_service/venv/bin/tiny-agents
View File

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

2
backend_service/venv/bin/tqdm
View File

@@ -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__':

2
backend_service/venv/bin/typer
View File

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

2
backend_service/venv/bin/uvicorn
View File

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

2
backend_service/venv/bin/watchfiles
View File

@@ -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__':

2
backend_service/venv/bin/websockets
View File

@@ -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__':

2
backend_service/venv/bin/wsdump
View File

@@ -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__':

29
backend_service/venv/lib/python3.13/site-packages/COPYING
View File

@@ -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.

7
backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/AUTHORS.rst
View File

@@ -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>`_.

1
backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/INSTALLER
View File

@@ -1 +0,0 @@
pip

21
backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/LICENSE
View File

@@ -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.

106
backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/METADATA
View File

@@ -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

32
backend_service/venv/lib/python3.13/site-packages/PyJWT-2.10.1.dist-info/RECORD
View File

@@ -1,32 +0,0 @@
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PyJWT-2.10.1.dist-info/LICENSE,sha256=eXp6ICMdTEM-nxkR2xcx0GtYKLmPSZgZoDT3wPVvXOU,1085
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PyJWT-2.10.1.dist-info/top_level.txt,sha256=RP5DHNyJbMq2ka0FmfTgoSaQzh7e3r5XuCWCO8a00k8,4
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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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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.
--------------------------------------------------------------------------------

1
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agentscope

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backend_service/venv/lib/python3.13/site-packages/agentscope/__init__.py
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# -*- 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__",
]

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

47
backend_service/venv/lib/python3.13/site-packages/agentscope/_logging.py
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# -*- 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")

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

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backend_service/venv/lib/python3.13/site-packages/agentscope/_utils/_mixin.py
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# -*- coding: utf-8 -*-
"""The mixin for agentscope."""
class DictMixin(dict):
"""The dictionary mixin that allows attribute-style access."""
__setattr__ = dict.__setitem__
__getattr__ = dict.__getitem__

4
backend_service/venv/lib/python3.13/site-packages/agentscope/_version.py
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# -*- coding: utf-8 -*-
"""The version of agentscope."""
__version__ = "1.0.7"

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backend_service/venv/lib/python3.13/site-packages/agentscope/agent/__init__.py
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# -*- 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",
]

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