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Merge pull request #533 from RockChinQ/perf-function-call-process
[Perf] 优化函数调用的底层逻辑
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@@ -239,6 +239,11 @@ image_api_params = {
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"size": "256x256", # 图片尺寸,支持256x256, 512x512, 1024x1024
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}
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# 跟踪函数调用
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# 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
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# 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
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trace_function_calls = False
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# 群内回复消息时是否引用原消息
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quote_origin = True
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@@ -65,6 +65,7 @@
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"image_api_params": {
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"size": "256x256"
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},
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"trace_function_calls": false,
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"quote_origin": true,
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"at_sender": false,
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"include_image_description": true,
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@@ -30,7 +30,7 @@ class ChatCompletionRequest(RequestBase):
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)
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self.pending_msg = ""
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def append_message(self, role: str, content: str, name: str=None):
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def append_message(self, role: str, content: str, name: str=None, function_call: dict=None):
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msg = {
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"role": role,
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"content": content
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@@ -39,6 +39,9 @@ class ChatCompletionRequest(RequestBase):
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if name is not None:
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msg['name'] = name
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if function_call is not None:
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msg['function_call'] = function_call
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self.messages.append(msg)
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def __init__(
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@@ -87,16 +90,17 @@ class ChatCompletionRequest(RequestBase):
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choice0 = resp["choices"][0]
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# 如果不是函数调用,且finish_reason为stop,则停止迭代
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if 'function_call' not in choice0['message']: # and choice0["finish_reason"] == "stop"
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if choice0['finish_reason'] == 'stop': # and choice0["finish_reason"] == "stop"
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self.stopped = True
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if 'function_call' in choice0['message']:
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self.pending_func_call = choice0['message']['function_call']
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# self.append_message(
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# role="assistant",
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# content="function call: "+json.dumps(self.pending_func_call, ensure_ascii=False)
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# )
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self.append_message(
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role="assistant",
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content=choice0['message']['content'],
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function_call=choice0['message']['function_call']
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)
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return {
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"id": resp["id"],
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@@ -106,7 +110,7 @@ class ChatCompletionRequest(RequestBase):
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"message": {
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"role": "assistant",
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"type": "function_call",
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"content": None,
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"content": choice0['message']['content'],
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"function_call": choice0['message']['function_call']
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},
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"finish_reason": "function_call"
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@@ -112,6 +112,7 @@ def count_completion_tokens(messages: list, model: str) -> int:
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def count_tokens(messages: list, model: str):
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if model in CHAT_COMPLETION_MODELS:
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return count_chat_completion_tokens(messages, model)
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elif model in COMPLETION_MODELS:
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@@ -194,7 +194,7 @@ class Session:
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# 请求回复
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# 这个函数是阻塞的
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def append(self, text: str=None) -> tuple[str, str, list[str]]:
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def query(self, text: str=None) -> tuple[str, str, list[str]]:
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"""向session中添加一条消息,返回接口回复
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Args:
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@@ -255,29 +255,59 @@ class Session:
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funcs = []
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trace_func_calls = config.trace_function_calls
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botmgr = pkg.utils.context.get_qqbot_manager()
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session_name_spt: list[str] = self.name.split("_")
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pending_res_text = ""
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# TODO 对不起,我知道这样非常非常屎山,但我之后会重构的
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for resp in pkg.utils.context.get_openai_manager().request_completion(prompts):
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if pending_res_text != "":
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botmgr.adapter.send_message(
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session_name_spt[0],
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session_name_spt[1],
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pending_res_text
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)
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pending_res_text = ""
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finish_reason = resp['choices'][0]['finish_reason']
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if resp['choices'][0]['message']['type'] == 'text': # 普通回复
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res_text += resp['choices'][0]['message']['content']
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if resp['choices'][0]['message']['role'] == "assistant" and resp['choices'][0]['message']['content'] != None: # 包含纯文本响应
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if not trace_func_calls:
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res_text += resp['choices'][0]['message']['content'] + "\n"
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else:
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res_text = resp['choices'][0]['message']['content']
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pending_res_text = resp['choices'][0]['message']['content']
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total_tokens += resp['usage']['total_tokens']
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pending_msgs.append(
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{
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"role": "assistant",
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"content": resp['choices'][0]['message']['content']
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}
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)
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msg = {
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"role": "assistant",
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"content": resp['choices'][0]['message']['content']
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}
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elif resp['choices'][0]['message']['type'] == 'function_call':
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if 'function_call' in resp['choices'][0]['message']:
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msg['function_call'] = json.dumps(resp['choices'][0]['message']['function_call'])
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pending_msgs.append(msg)
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if resp['choices'][0]['message']['type'] == 'function_call':
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# self.prompt.append(
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# {
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# "role": "assistant",
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# "content": "function call: "+json.dumps(resp['choices'][0]['message']['function_call'])
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# }
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# )
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if trace_func_calls:
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botmgr.adapter.send_message(
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session_name_spt[0],
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session_name_spt[1],
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"调用函数 "+resp['choices'][0]['message']['function_call']['name'] + "..."
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)
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total_tokens += resp['usage']['total_tokens']
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elif resp['choices'][0]['message']['type'] == 'function_return':
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@@ -327,6 +327,10 @@ def apply_privileges():
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for path, priv in data.items():
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if path == 'comment':
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continue
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if path not in __command_list__:
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continue
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if __command_list__[path]['privilege'] != priv:
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logging.debug('应用权限: {} -> {}(default: {})'.format(path, priv, __command_list__[path]['privilege']))
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@@ -1,27 +0,0 @@
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from ..aamgr import AbstractCommandNode, Context
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@AbstractCommandNode.register(
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parent=None,
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name="continue",
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description="继续未完成的响应",
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usage="!continue",
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aliases=[],
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privilege=1
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)
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class ContinueCommand(AbstractCommandNode):
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@classmethod
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def process(cls, ctx: Context) -> tuple[bool, list]:
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import pkg.openai.session
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import config
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session_name = ctx.session_name
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reply = []
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session = pkg.openai.session.get_session(session_name)
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text, _, _ = session.append()
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reply = [text]
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return True, reply
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@@ -40,7 +40,7 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
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try:
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prefix = "[GPT]" if config.show_prefix else ""
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text, finish_reason, funcs = session.append(text_message)
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text, finish_reason, funcs = session.query(text_message)
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# 触发插件事件
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args = {
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@@ -68,7 +68,7 @@ def process_normal_message(text_message: str, mgr, config, launcher_type: str,
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except openai.error.APIConnectionError as e:
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err_msg = str(e)
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if err_msg.__contains__('Error communicating with OpenAI'):
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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),
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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),
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"[bot]err:调用API失败,请重试或联系管理员,或等待修复")
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else:
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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")
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@@ -8,7 +8,6 @@
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"plugin.del": 2,
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"plugin.off": 2,
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"plugin.on": 2,
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"continue": 1,
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"default": 1,
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"default.set": 2,
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"del": 1,
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@@ -180,7 +180,6 @@
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!draw <提示语> 进行绘图
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!version 查看当前版本并检查更新
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!resend 重新回复上一个问题
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!continue 继续响应未完成的回合(通常用于内容函数继续调用)
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!plugin 用法请查看插件使用页的`管理`章节
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!default 查看可用的情景预设值
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```
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