feat: 在插件层面初步支持内容函数

main.py

@@ -47,7 +47,7 @@ def init_db():
 
 def ensure_dependencies():
     import pkg.utils.pkgmgr as pkgmgr
-    pkgmgr.run_pip(["install", "openai", "Pillow", "nakuru-project-idk", "--upgrade",
+    pkgmgr.run_pip(["install", "openai", "Pillow", "nakuru-project-idk", "CallingGPT", "--upgrade",
                     "-i", "https://pypi.tuna.tsinghua.edu.cn/simple",
                     "--trusted-host", "pypi.tuna.tsinghua.edu.cn"])
 

pkg/plugin/host.py

@@ -16,6 +16,8 @@ import pkg.qqbot.adapter as msadapter
 
 from mirai import Mirai
 
+from CallingGPT.session.session import Session
+
 __plugins__ = {}
 """插件列表
 
@@ -42,6 +44,9 @@ __plugins__ = {}
 __plugins_order__ = []
 """插件顺序"""
 
+__callable_functions__ = []
+"""供GPT调用的函数"""
+
 
 def generate_plugin_order():
     """根据__plugin__生成插件初始顺序，无视是否启用"""
@@ -300,7 +305,9 @@ class PluginHost:
     """插件宿主"""
 
     def __init__(self):
+        """初始化插件宿主"""
         context.set_plugin_host(self)
+        self.calling_gpt_session = Session([])
 
     def get_runtime_context(self) -> context:
         """获取运行时上下文（pkg.utils.context模块的对象）

pkg/plugin/models.py

@@ -132,6 +132,13 @@ KeySwitched = "key_switched"
         key_list: list[str] api-key列表
 """
 
+ContentFunction = "content_function"
+"""声明此函数为一个内容函数，在对话中将发送此函数给GPT以供其调用
+    此函数可以具有任意的参数，但必须按照[此文档](https://github.com/RockChinQ/CallingGPT/wiki/1.-Function-Format#function-format)
+    所述的格式编写函数的docstring。
+    此功能仅支持在使用gpt-3.5或gpt-4系列模型时使用。
+"""
+
 
 def on(event: str):
     """注册事件监听器
@@ -161,20 +168,37 @@ class Plugin:
         """
         global __current_registering_plugin__
 
-        def wrapper(func):
+        if event != ContentFunction:
-            plugin_hooks = host.__plugins__[__current_registering_plugin__]["hooks"]
+            def wrapper(func):
+                plugin_hooks = host.__plugins__[__current_registering_plugin__]["hooks"]
 
-            if event not in plugin_hooks:
+                if event not in plugin_hooks:
-                plugin_hooks[event] = []
+                    plugin_hooks[event] = []
-            plugin_hooks[event].append(func)
+                plugin_hooks[event].append(func)
 
-            # print("registering hook: p='{}', e='{}', f={}".format(__current_registering_plugin__, event, func))
+                # print("registering hook: p='{}', e='{}', f={}".format(__current_registering_plugin__, event, func))
 
-            host.__plugins__[__current_registering_plugin__]["hooks"] = plugin_hooks
+                host.__plugins__[__current_registering_plugin__]["hooks"] = plugin_hooks
 
-            return func
+                return func
 
-        return wrapper
+            return wrapper
+        else:
+            from CallingGPT.entities.namespace import get_func_schema
+            
+            def wrapper(func):
+
+                function_schema = get_func_schema(func)
+
+                # logging.debug("registering content function: p='{}', f='{}', s={}".format(__current_registering_plugin__, func, function_schema))
+
+                host.__callable_functions__.append(
+                    function_schema
+                )
+
+                return func
+
+            return wrapper
 
 
 def register(name: str, description: str, version: str, author: str):

requirements.txt

@@ -7,4 +7,5 @@ websockets
 urllib3~=1.26.10
 func_timeout~=4.3.5
 Pillow
-nakuru-project-idk
+nakuru-project-idk
+CallingGPT