diff --git a/pkg/openai/api/chat_completion.py b/pkg/openai/api/chat_completion.py index 032e14bc..a8e5f175 100644 --- a/pkg/openai/api/chat_completion.py +++ b/pkg/openai/api/chat_completion.py @@ -1,4 +1,5 @@ import openai +from openai.types.chat import chat_completion_message import json import logging @@ -13,13 +14,14 @@ class ChatCompletionRequest(RequestBase): 此类保证每一次返回的角色为assistant的信息的finish_reason一定为stop。 若有函数调用响应，本类的返回瀑布是：函数调用请求->函数调用结果->...->assistant的信息->stop。 """ + model: str messages: list[dict[str, str]] kwargs: dict stopped: bool = False - pending_func_call: dict = None + pending_func_call: chat_completion_message.FunctionCall = None pending_msg: str @@ -46,16 +48,18 @@ class ChatCompletionRequest(RequestBase): def __init__( self, + client: openai.Client, model: str, messages: list[dict[str, str]], **kwargs ): + self.client = client self.model = model self.messages = messages.copy() self.kwargs = kwargs - self.req_func = openai.ChatCompletion.acreate + self.req_func = self.client.chat.completions.create self.pending_func_call = None @@ -84,39 +88,48 @@ class ChatCompletionRequest(RequestBase): # 拼接kwargs args = {**args, **self.kwargs} + + from openai.types.chat import chat_completion - resp = self._req(**args) + resp: chat_completion.ChatCompletion = self._req(**args) - choice0 = resp["choices"][0] + choice0 = resp.choices[0] # 如果不是函数调用，且finish_reason为stop，则停止迭代 - if choice0['finish_reason'] == 'stop': # 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'] + if hasattr(choice0.message, 'function_call') and choice0.message.function_call is not None: + self.pending_func_call = choice0.message.function_call self.append_message( role="assistant", - content=choice0['message']['content'], - function_call=choice0['message']['function_call'] + content=choice0.message.content, + function_call=choice0.message.function_call ) return { - "id": resp["id"], + "id": resp.id, "choices": [ { - "index": choice0["index"], + "index": choice0.index, "message": { "role": "assistant", "type": "function_call", - "content": choice0['message']['content'], - "function_call": choice0['message']['function_call'] + "content": choice0.message.content, + "function_call": { + "name": choice0.message.function_call.name, + "arguments": choice0.message.function_call.arguments + } }, "finish_reason": "function_call" } ], - "usage": resp["usage"] + "usage": { + "prompt_tokens": resp.usage.prompt_tokens, + "completion_tokens": resp.usage.completion_tokens, + "total_tokens": resp.usage.total_tokens + } } else: @@ -124,19 +137,23 @@ class ChatCompletionRequest(RequestBase): # 普通回复一定处于最后方，故不用再追加进内部messages return { - "id": resp["id"], + "id": resp.id, "choices": [ { - "index": choice0["index"], + "index": choice0.index, "message": { "role": "assistant", "type": "text", - "content": choice0['message']['content'] + "content": choice0.message.content }, - "finish_reason": choice0["finish_reason"] + "finish_reason": choice0.finish_reason } ], - "usage": resp["usage"] + "usage": { + "prompt_tokens": resp.usage.prompt_tokens, + "completion_tokens": resp.usage.completion_tokens, + "total_tokens": resp.usage.total_tokens + } } else: # 处理函数调用请求 @@ -144,20 +161,20 @@ class ChatCompletionRequest(RequestBase): self.pending_func_call = None - func_name = cp_pending_func_call['name'] + func_name = cp_pending_func_call.name arguments = {} try: try: - arguments = json.loads(cp_pending_func_call['arguments']) + arguments = json.loads(cp_pending_func_call.arguments) # 若不是json格式的异常处理 except json.decoder.JSONDecodeError: # 获取函数的参数列表 func_schema = get_func_schema(func_name) arguments = { - func_schema['parameters']['required'][0]: cp_pending_func_call['arguments'] + func_schema['parameters']['required'][0]: cp_pending_func_call.arguments } logging.info("执行函数调用: name={}, arguments={}".format(func_name, arguments)) diff --git a/pkg/openai/api/completion.py b/pkg/openai/api/completion.py index ee0d34e9..2c74de36 100644 --- a/pkg/openai/api/completion.py +++ b/pkg/openai/api/completion.py @@ -1,4 +1,5 @@ import openai +from openai.types import completion, completion_choice from .model import RequestBase @@ -17,10 +18,12 @@ class CompletionRequest(RequestBase): def __init__( self, + client: openai.Client, model: str, messages: list[dict[str, str]], **kwargs ): + self.client = client self.model = model self.prompt = "" @@ -31,7 +34,7 @@ class CompletionRequest(RequestBase): self.kwargs = kwargs - self.req_func = openai.Completion.acreate + self.req_func = self.client.completions.create def __iter__(self): return self @@ -63,49 +66,35 @@ class CompletionRequest(RequestBase): if self.stopped: raise StopIteration() - resp = self._req( + resp: completion.Completion = self._req( model=self.model, prompt=self.prompt, **self.kwargs ) - if resp["choices"][0]["finish_reason"] == "stop": + if resp.choices[0].finish_reason == "stop": self.stopped = True - choice0 = resp["choices"][0] + choice0: completion_choice.CompletionChoice = resp.choices[0] - self.prompt += choice0["text"] + self.prompt += choice0.text return { - "id": resp["id"], + "id": resp.id, "choices": [ { - "index": choice0["index"], + "index": choice0.index, "message": { "role": "assistant", "type": "text", - "content": choice0["text"] + "content": choice0.text }, - "finish_reason": choice0["finish_reason"] + "finish_reason": choice0.finish_reason } ], - "usage": resp["usage"] - } - -if __name__ == "__main__": - import os - - openai.api_key = os.environ["OPENAI_API_KEY"] - - for resp in CompletionRequest( - model="text-davinci-003", - messages=[ - { - "role": "user", - "content": "Hello, who are you?" + "usage": { + "prompt_tokens": resp.usage.prompt_tokens, + "completion_tokens": resp.usage.completion_tokens, + "total_tokens": resp.usage.total_tokens } - ] - ): - print(resp) - if resp["choices"][0]["finish_reason"] == "stop": - break + } diff --git a/pkg/openai/api/model.py b/pkg/openai/api/model.py index 58f3e3ff..3a574cb3 100644 --- a/pkg/openai/api/model.py +++ b/pkg/openai/api/model.py @@ -8,6 +8,8 @@ import openai class RequestBase: + client: openai.Client + req_func: callable def __init__(self, *args, **kwargs): @@ -17,41 +19,17 @@ class RequestBase: import pkg.utils.context as context switched, name = context.get_openai_manager().key_mgr.auto_switch() logging.debug("切换api-key: switched={}, name={}".format(switched, name)) - openai.api_key = context.get_openai_manager().key_mgr.get_using_key() + self.client.api_key = context.get_openai_manager().key_mgr.get_using_key() def _req(self, **kwargs): """处理代理问题""" import config - ret: dict = {} - exception: Exception = None + ret = self.req_func(**kwargs) + logging.debug("接口请求返回：%s", str(ret)) - async def awrapper(**kwargs): - nonlocal ret, exception - - try: - ret = await self.req_func(**kwargs) - logging.debug("接口请求返回：%s", str(ret)) - - if config.switch_strategy == 'active': - self._next_key() - - return ret - except Exception as e: - exception = e - - loop = asyncio.new_event_loop() - - thr = threading.Thread( - target=loop.run_until_complete, - args=(awrapper(**kwargs),) - ) - - thr.start() - thr.join() - - if exception is not None: - raise exception + if config.switch_strategy == 'active': + self._next_key() return ret diff --git a/pkg/openai/manager.py b/pkg/openai/manager.py index 8281badf..b99371f6 100644 --- a/pkg/openai/manager.py +++ b/pkg/openai/manager.py @@ -24,6 +24,8 @@ class OpenAIInteract: "size": "256x256", } + client: openai.Client = None + def __init__(self, api_key: str): self.key_mgr = pkg.openai.keymgr.KeysManager(api_key) @@ -31,7 +33,9 @@ class OpenAIInteract: # logging.info("文字总使用量：%d", self.audit_mgr.get_total_text_length()) - openai.api_key = self.key_mgr.get_using_key() + self.client = openai.Client( + api_key=self.key_mgr.get_using_key() + ) pkg.utils.context.set_openai_manager(self) @@ -48,7 +52,7 @@ class OpenAIInteract: cp_parmas = config.completion_api_params.copy() del cp_parmas['model'] - request = select_request_cls(model, messages, cp_parmas) + request = select_request_cls(self.client, model, messages, cp_parmas) # 请求接口 for resp in request: diff --git a/pkg/openai/modelmgr.py b/pkg/openai/modelmgr.py index 271bd82a..ead97647 100644 --- a/pkg/openai/modelmgr.py +++ b/pkg/openai/modelmgr.py @@ -6,6 +6,7 @@ Completion - text-davinci-003 等模型 此模块封装此两个接口的请求实现，为上层提供统一的调用方式 """ import tiktoken +import openai from pkg.openai.api.model import RequestBase from pkg.openai.api.completion import CompletionRequest @@ -51,11 +52,11 @@ IMAGE_MODELS = { } -def select_request_cls(model_name: str, messages: list, args: dict) -> RequestBase: +def select_request_cls(client: openai.Client, model_name: str, messages: list, args: dict) -> RequestBase: if model_name in CHAT_COMPLETION_MODELS: - return ChatCompletionRequest(model_name, messages, **args) + return ChatCompletionRequest(client, model_name, messages, **args) elif model_name in COMPLETION_MODELS: - return CompletionRequest(model_name, messages, **args) + return CompletionRequest(client, model_name, messages, **args) raise ValueError("不支持模型[{}]，请检查配置文件".format(model_name)) diff --git a/pkg/openai/session.py b/pkg/openai/session.py index 6bf13dca..6277f065 100644 --- a/pkg/openai/session.py +++ b/pkg/openai/session.py @@ -278,7 +278,7 @@ class Session: 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" + res_text += resp['choices'][0]['message']['content'] else: res_text = resp['choices'][0]['message']['content'] pending_res_text = resp['choices'][0]['message']['content']