[Perf] 优化Function Calling的处理流程

config-template.py

@@ -239,6 +239,11 @@
     "size": "256x256",  # 图片尺寸，支持256x256, 512x512, 1024x1024
 }
 
+# 跟踪函数调用
+# 为True时，在每次GPT进行Function Calling时都会输出发送一条回复给用户
+# 同时，一次提问内所有的Function Calling和普通回复消息都会单独发送给用户
+trace_function_calls = True
+
 # 群内回复消息时是否引用原消息
 quote_origin = True
 

override-all.json

@@ -65,6 +65,7 @@
     "image_api_params": {
         "size": "256x256"
     },
+    "trace_function_calls": true,
     "quote_origin": true,
     "at_sender": false,
     "include_image_description": true,

pkg/openai/api/chat_completion.py

@@ -30,7 +30,7 @@ def flush_pending_msg(self):
         )
         self.pending_msg = ""
 
-    def append_message(self, role: str, content: str, name: str=None):
+    def append_message(self, role: str, content: str, name: str=None, function_call: dict=None):
         msg = {
             "role": role,
             "content": content
@@ -39,6 +39,9 @@ def append_message(self, role: str, content: str, name: str=None):
         if name is not None:
             msg['name'] = name
 
+        if function_call is not None:
+            msg['function_call'] = function_call
+
         self.messages.append(msg)
 
     def __init__(
@@ -87,16 +90,17 @@ def __next__(self) -> dict:
             choice0 = resp["choices"][0]
 
             # 如果不是函数调用，且finish_reason为stop，则停止迭代
-            if 'function_call' not in choice0['message']:  #  and choice0["finish_reason"] == "stop"
+            if choice0['finish_reason'] == 'stop':  #  and choice0["finish_reason"] == "stop"
                 self.stopped = True
 
             if 'function_call' in choice0['message']:
                 self.pending_func_call = choice0['message']['function_call']
 
-                # self.append_message(
-                #     role="assistant",
-                #     content="function call: "+json.dumps(self.pending_func_call, ensure_ascii=False)
-                # )
+                self.append_message(
+                    role="assistant",
+                    content=choice0['message']['content'],
+                    function_call=choice0['message']['function_call']
+                )
 
                 return {
                     "id": resp["id"],
@@ -106,7 +110,7 @@ def __next__(self) -> dict:
                             "message": {
                                 "role": "assistant",
                                 "type": "function_call",
-                                "content": None,
+                                "content": choice0['message']['content'],
                                 "function_call": choice0['message']['function_call']
                             },
                             "finish_reason": "function_call"

pkg/openai/modelmgr.py

@@ -112,6 +112,7 @@ def count_completion_tokens(messages: list, model: str) -> int:
 
 
 def count_tokens(messages: list, model: str):
+
     if model in CHAT_COMPLETION_MODELS:
         return count_chat_completion_tokens(messages, model)
     elif model in COMPLETION_MODELS:

pkg/openai/session.py

@@ -194,7 +194,7 @@ def expire_check_timer_loop(self, create_timestamp: int):
 
     # 请求回复
     # 这个函数是阻塞的
-    def append(self, text: str=None) -> tuple[str, str, list[str]]:
+    def query(self, text: str=None) -> tuple[str, str, list[str]]:
         """向session中添加一条消息，返回接口回复
 
         Args:
@@ -255,29 +255,59 @@ def append(self, text: str=None) -> tuple[str, str, list[str]]:
 
         funcs = []
 
+        trace_func_calls = config.trace_function_calls
+        botmgr = pkg.utils.context.get_qqbot_manager()
+
+        session_name_spt: list[str] = self.name.split("_")
+
+        pending_res_text = ""
+
+        # TODO 对不起，我知道这样非常非常屎山，但我之后会重构的
         for resp in pkg.utils.context.get_openai_manager().request_completion(prompts):
 
+            if pending_res_text != "":
+                botmgr.adapter.send_message(
+                    session_name_spt[0],
+                    session_name_spt[1],
+                    pending_res_text
+                )
+                pending_res_text = ""
+
             finish_reason = resp['choices'][0]['finish_reason']
 
-            if resp['choices'][0]['message']['type'] == 'text':  # 普通回复
-                res_text += resp['choices'][0]['message']['content']
+            if resp['choices'][0]['message']['role'] == "assistant" and resp['choices'][0]['message']['content'] != None:  # 包含纯文本响应
+
+                if not trace_func_calls:
+                    res_text += resp['choices'][0]['message']['content'] + "\n"
+                else:
+                    res_text = resp['choices'][0]['message']['content']
+                    pending_res_text = resp['choices'][0]['message']['content']
 
                 total_tokens += resp['usage']['total_tokens']
 
-                pending_msgs.append(
-                    {
-                        "role": "assistant",
-                        "content": resp['choices'][0]['message']['content']
-                    }
-                )
+                msg = {
+                    "role": "assistant",
+                    "content": resp['choices'][0]['message']['content']
+                }
+
+                if 'function_call' in resp['choices'][0]['message']:
+                    msg['function_call'] = json.dumps(resp['choices'][0]['message']['function_call'])
+
+                pending_msgs.append(msg)
 
-            elif resp['choices'][0]['message']['type'] == 'function_call':
+            if resp['choices'][0]['message']['type'] == 'function_call':
                 # self.prompt.append(
                 #     {
                 #         "role": "assistant",
                 #         "content": "function call: "+json.dumps(resp['choices'][0]['message']['function_call'])
                 #     }
                 # )
+                if trace_func_calls:
+                    botmgr.adapter.send_message(
+                        session_name_spt[0],
+                        session_name_spt[1],
+                        "调用函数 "+resp['choices'][0]['message']['function_call']['name'] + "..."
+                    )
 
                 total_tokens += resp['usage']['total_tokens']
             elif resp['choices'][0]['message']['type'] == 'function_return':

pkg/qqbot/message.py

@@ -40,7 +40,7 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
         try:
             prefix = "[GPT]" if config.show_prefix else ""
 
-            text, finish_reason, funcs = session.append(text_message)
+            text, finish_reason, funcs = session.query(text_message)
 
             # 触发插件事件
             args = {
@@ -68,7 +68,7 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
         except openai.error.APIConnectionError as e:
             err_msg = str(e)
             if err_msg.__contains__('Error communicating with OpenAI'):
-                reply = handle_exception("{}会话调用API失败:{}\n请尝试关闭网络代理来解决此问题。".format(session_name, e),
+                reply = handle_exception("{}会话调用API失败:{}\n您的网络无法访问OpenAI接口或网络代理不正常".format(session_name, e),
                                          "[bot]err:调用API失败，请重试或联系管理员，或等待修复")
             else:
                 reply = handle_exception("{}会话调用API失败:{}".format(session_name, e), "[bot]err:调用API失败，请重试或联系管理员，或等待修复")

res/templates/cmdpriv-template.json

@@ -8,7 +8,6 @@
     "plugin.del": 2,
     "plugin.off": 2,
     "plugin.on": 2,
-    "continue": 1,
     "default": 1,
     "default.set": 2,
     "del": 1,

res/wiki/功能使用.md

@@ -180,7 +180,6 @@
 !draw <提示语>     进行绘图
 !version          查看当前版本并检查更新
 !resend           重新回复上一个问题
-!continue         继续响应未完成的回合（通常用于内容函数继续调用）
 !plugin           用法请查看插件使用页的`管理`章节
 !default          查看可用的情景预设值
 ```