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feat: 适配completion和chat_completions
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@@ -1,4 +1,5 @@
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import openai
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from openai.types.chat import chat_completion_message
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import json
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import logging
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@@ -13,13 +14,14 @@ class ChatCompletionRequest(RequestBase):
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此类保证每一次返回的角色为assistant的信息的finish_reason一定为stop。
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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。
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"""
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model: str
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messages: list[dict[str, str]]
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kwargs: dict
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stopped: bool = False
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pending_func_call: dict = None
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pending_func_call: chat_completion_message.FunctionCall = None
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pending_msg: str
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@@ -46,16 +48,18 @@ class ChatCompletionRequest(RequestBase):
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def __init__(
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self,
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client: openai.Client,
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model: str,
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messages: list[dict[str, str]],
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**kwargs
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):
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self.client = client
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self.model = model
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self.messages = messages.copy()
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self.kwargs = kwargs
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self.req_func = openai.ChatCompletion.acreate
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self.req_func = self.client.chat.completions.create
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self.pending_func_call = None
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@@ -84,39 +88,48 @@ class ChatCompletionRequest(RequestBase):
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# 拼接kwargs
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args = {**args, **self.kwargs}
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from openai.types.chat import chat_completion
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resp = self._req(**args)
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resp: chat_completion.ChatCompletion = self._req(**args)
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choice0 = resp["choices"][0]
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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 choice0['finish_reason'] == 'stop': # 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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if hasattr(choice0.message, 'function_call') and choice0.message.function_call is not None:
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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=choice0['message']['content'],
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function_call=choice0['message']['function_call']
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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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"id": resp.id,
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"choices": [
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{
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"index": choice0["index"],
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"index": choice0.index,
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"message": {
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"role": "assistant",
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"type": "function_call",
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"content": choice0['message']['content'],
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"function_call": choice0['message']['function_call']
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"content": choice0.message.content,
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"function_call": {
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"name": choice0.message.function_call.name,
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"arguments": choice0.message.function_call.arguments
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}
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},
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"finish_reason": "function_call"
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}
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],
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"usage": resp["usage"]
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"usage": {
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"prompt_tokens": resp.usage.prompt_tokens,
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"completion_tokens": resp.usage.completion_tokens,
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"total_tokens": resp.usage.total_tokens
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}
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}
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else:
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@@ -124,19 +137,23 @@ class ChatCompletionRequest(RequestBase):
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# 普通回复一定处于最后方,故不用再追加进内部messages
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return {
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"id": resp["id"],
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"id": resp.id,
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"choices": [
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{
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"index": choice0["index"],
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"index": choice0.index,
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"message": {
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"role": "assistant",
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"type": "text",
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"content": choice0['message']['content']
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"content": choice0.message.content
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},
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"finish_reason": choice0["finish_reason"]
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"finish_reason": choice0.finish_reason
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}
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],
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"usage": resp["usage"]
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"usage": {
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"prompt_tokens": resp.usage.prompt_tokens,
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"completion_tokens": resp.usage.completion_tokens,
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"total_tokens": resp.usage.total_tokens
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}
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}
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else: # 处理函数调用请求
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@@ -144,20 +161,20 @@ class ChatCompletionRequest(RequestBase):
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self.pending_func_call = None
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func_name = cp_pending_func_call['name']
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func_name = cp_pending_func_call.name
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arguments = {}
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try:
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try:
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arguments = json.loads(cp_pending_func_call['arguments'])
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arguments = json.loads(cp_pending_func_call.arguments)
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# 若不是json格式的异常处理
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except json.decoder.JSONDecodeError:
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# 获取函数的参数列表
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func_schema = get_func_schema(func_name)
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arguments = {
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func_schema['parameters']['required'][0]: cp_pending_func_call['arguments']
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func_schema['parameters']['required'][0]: cp_pending_func_call.arguments
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}
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logging.info("执行函数调用: name={}, arguments={}".format(func_name, arguments))
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