wip: 增加了skill_manager

README.md

@@ -21,8 +21,6 @@
 - （暂未实现）本项目适配多种消息平台，实现在外可通过多种方式给 **Pretor** 下达指令完成工作。
 - （暂未实现）本项目内置 **growth_node(生长节点)** ，实现傻瓜式微调模型操作，让你的 **Pretor** 自己学会一些独特的技能。
 
-那么如何拥有属于自己的**执政官**呢？
-
 ---
 ## 快速开始
 本项目正在开发中...

pretor/api/resource.py

@@ -12,6 +12,8 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 
+from pydantic import BaseModel
+import viceroy
 from pretor.core.workflow.workflow_template_generator.workflow_template import WorkflowTemplate
 from pretor.utils.ray_hook import ray_actor_hook
 from fastapi import APIRouter, Depends
@@ -25,3 +27,22 @@ async def create_workflow_template(workflow_template: WorkflowTemplate,
     global_state_machine = ray_actor_hook("global_state_machine")
     await global_state_machine.workflow_template_generate.remote(workflow_template)
     return {"message": "创建成功"}
+
+class Skill(BaseModel):
+    repo_url: str
+    path: str | None
+
+@resource_router.post("/skill")
+async def install_skill(skill: Skill,
+                        _: TokenData = Depends(Accessor.get_current_user)):
+    global_state_machine = ray_actor_hook("global_state_machine")
+    await viceroy.install_skill_async(url = skill.repo_url,
+                                path = skill.path,
+                                output = "./pretor/plugin/tool_plugin")
+    if skill.path:
+        skill_name = skill.path.split("/")[-1]
+    else:
+        skill_name = skill.repo_url.split("/")[-1]
+    await global_state_machine.add_skill.remote(skill_name)
+    return {"message": "创建成功"}
+

pretor/core/api/__init__.py

@@ -24,6 +24,7 @@ from pretor.core.individual.control_node.control_node import ControlNode
 from pretor.api.platform.frontend import client_router
 from pretor.api.auth import auth_router
 from pretor.api.provider import provider_router
+from pretor.api.resource import resource_router
 
 @ray.remote
 class PretorGateway:
@@ -46,6 +47,7 @@ class PretorGateway:
         self.app.include_router(client_router)
         self.app.include_router(auth_router)
         self.app.include_router(provider_router)
+        self.app.include_router(resource_router)
 
     async def server_run(self, host="0.0.0.0", port=8000):
         config = uvicorn.Config(app=self.app, host=host, port=port, loop="asyncio")

pretor/core/global_state_machine/global_state_machine.py

@@ -13,10 +13,12 @@
 #  limitations under the License.
 
 import ray
+import pathlib
 from pretor.core.global_state_machine.provider_manager import ProviderManager
 from pretor.core.global_state_machine.tool_manager import GlobalToolManager
 from pretor.core.global_state_machine.model_provider import Provider, ProviderArgs
 import httpx
+import json
 from loguru import logger
 from typing import Dict, Literal
 from pretor.core.database.postgres import PostgresDatabase
@@ -25,7 +27,8 @@ import asyncio
 from pretor.core.workflow.workflow import PretorWorkflow
 from pretor.core.workflow.workflow_template_generator.workflow_template import WorkflowTemplate
 from pretor.core.workflow.workflow_template_manager import WorkflowManager
-from pretor.tool_plugin.base_tool import BaseToolData
+from pretor.core.global_state_machine.skill_manager import GlobalSkillManager
+from pretor.plugin.tool_plugin.base_tool import BaseToolData
 
 @ray.remote
 class GlobalStateMachine:
@@ -35,6 +38,8 @@ class GlobalStateMachine:
         self.global_provider_manager = ProviderManager(postgres_database)
         self.global_tool_manager = GlobalToolManager()
         self.global_workflow_template_manager = WorkflowManager()
+        self.global_skill_manager = GlobalSkillManager()
+
 
         self.postgres_database = postgres_database
 
@@ -153,3 +158,19 @@ class GlobalStateMachine:
     ###以下为workflow_template_manager方法
     def workflow_template_generator(self, workflow_template: WorkflowTemplate) -> None:
         self.global_workflow_template_manager.generate_workflow_template(workflow_template)
+
+    ###以下为skill_manager方法
+    def add_skill(self, skill_name: str):
+        skill_plugin_dir = pathlib.Path(__file__).parent.parent.parent / "plugin" / "skill_plugin" / skill_name
+        json_path = skill_plugin_dir / "skill.json"
+        try:
+            with open(json_path, "r", encoding="utf-8") as f:
+                skill = json.load(f)
+                name = skill.get("name")
+                if name:
+                    self.global_skill_manager.skill_mapper[name] = (
+                        skill.get("description", ""),
+                        skill.get("instructions", "")
+                    )
+        except (json.JSONDecodeError, OSError) as e:
+            print(f"警告: 加载插件 {skill_name} 失败: {e}")

pretor/core/global_state_machine/skill_manager.py

@@ -0,0 +1,46 @@
+#  Copyright 2026 zhaoxi826
+#
+#  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.
+
+from typing import Tuple, Dict
+from collections import defaultdict
+import pathlib
+import json
+
+class GlobalSkillManager:
+    skill_mapper = Dict[str,Tuple[str]]
+    """skill的存储表"""
+
+    def __init__(self):
+        self.skill_mapper = defaultdict(tuple)
+
+        skill_plugin_dir = pathlib.Path(__file__).parent.parent.parent / "plugin" / "skill_plugin"
+        if not skill_plugin_dir.exists() or not skill_plugin_dir.is_dir():
+            return
+        for item in skill_plugin_dir.iterdir():
+            if item.is_dir() and not item.name.startswith((".", "__")):
+                json_path = item / "skill.json" # 拼接文件路径
+                if json_path.exists():
+                    try:
+                        with open(json_path, "r", encoding="utf-8") as f:
+                            skill = json.load(f)
+                            # 提取并映射
+                            name = skill.get("name")
+                            if name:
+                                self.skill_mapper[name] = (
+                                    skill.get("description", ""),
+                                    skill.get("instructions", "")
+                                )
+                    except (json.JSONDecodeError, OSError) as e:
+                        print(f"警告: 加载插件 {item.name} 失败: {e}")
+

pretor/core/global_state_machine/tool_manager.py

@@ -16,9 +16,9 @@ import pathlib
 import importlib
 import inspect
 from collections import defaultdict
-from pretor.tool_plugin.base_tool import BaseToolData
+from pretor.plugin.tool_plugin.base_tool import BaseToolData
 from typing import Dict, Type
-
+from loguru import logger
 
 class GlobalToolManager:
     tool_mapper: Dict[str, Dict[str, Type[BaseToolData]]]
@@ -26,14 +26,14 @@ class GlobalToolManager:
     def __init__(self):
         self.tool_mapper = defaultdict(dict)
 
-        tool_plugin_dir = pathlib.Path(__file__).parent.parent.parent / "tool_plugin"
+        tool_plugin_dir = pathlib.Path(__file__).parent.parent.parent / "plugin.tool_plugin"
         if not tool_plugin_dir.exists() or not tool_plugin_dir.is_dir():
             return
 
         for item in tool_plugin_dir.iterdir():
             if item.is_dir() and not item.name.startswith("__"):
                 plugin_name = item.name
-                module_name = f"pretor.tool_plugin.{plugin_name}"
+                module_name = f"pretor.plugin.tool_plugin.{plugin_name}"
 
                 try:
                     module = importlib.import_module(module_name)
@@ -48,5 +48,4 @@ class GlobalToolManager:
                                 for scope in action_scopes:
                                     self.tool_mapper[scope][plugin_name] = obj
                 except Exception as e:
-                    import logging
+                    logger.warning(f"Failed to load tool plugin {plugin_name}: {e}")
-                    logging.getLogger(__name__).warning(f"Failed to load tool plugin {plugin_name}: {e}")

pretor/core/workflow/workflow_template_generator/workflow_template_generator.py

@@ -18,7 +18,7 @@ from pretor.core.workflow.workflow_template_generator.workflow_template import W
 class WorkflowTemplateGenerator:
     @staticmethod
     def generate_workflow_template(workflow_template: WorkflowTemplate) -> WorkflowTemplate:
-        output_dir = Path("pretor.workflow_template")
+        output_dir = Path("pretor") / "workflow_template"
         if not output_dir.exists():
             output_dir.mkdir(parents=True)
         output_file = output_dir / f"{workflow_template.name}_workflow_template.json"

pretor/plugin/tool_plugin/approval/approval.py

@@ -11,9 +11,8 @@
 #  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.
-from pydantic import Field
 
-from pretor.tool_plugin.base_tool import BaseToolData
+from pretor.plugin.tool_plugin.base_tool import BaseToolData
 from pretor.utils.ray_hook import ray_actor_hook
 from typing import List, Literal, Dict
 

pretor/utils/ray_hook.py

@@ -12,7 +12,7 @@
 #  See the License for the specific language governing permissions and
 #  limitations under the License.
 import ray
-from typing import List
+from functools import lru_cache
 
 class ActorList:
     def __init__(self):
@@ -32,10 +32,19 @@ class ActorList:
         else:
             raise AttributeError(f"ActorList对象没有属性 '{key}'")
 
+@lru_cache(maxsize=128)
+def _get_cached_actor_handle(actor_name: str):
+    """缓存接口"""
+    return ray.get_actor(actor_name)
+
+def clear_actor_cache():
+    """清理接口"""
+    _get_cached_actor_handle.cache_clear()
+
 def ray_actor_hook(*actor_names: str):
     actor_list = ActorList()
     for actor_name in actor_names:
-        handle = ray.get_actor(actor_name)
+        handle = _get_cached_actor_handle(actor_name)
         setattr(actor_list, actor_name, handle)
     return actor_list
 

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "archonbot"
+name = "pretor"
 version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"
@@ -12,13 +12,22 @@ dependencies = [
     "jinja2>=3.1.6",
     "loguru>=0.7.3",
     "passlib[bcrypt]>=1.7.4",
+    "pretor-viceroy>=0.2.0",
     "pydantic-ai>=1.73.0",
     "pyfiglet>=1.0.4",
-    "pytest>=9.0.3",
     "python-ulid>=3.1.0",
     "ray[default,serve]>=2.54.0",
     "rich>=14.3.3",
     "sqlmodel>=0.0.37",
     "types-docutils==0.22.3.20260408",
+]
+
+[project.optional-dependencies]
+gpu = [
     "vllm>=0.11.0",
 ]
+
+[dependency-groups]
+dev = [
+    "pytest>=9.0.3",
+]