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https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-02-24 08:19:49 +08:00
fix: add summary plugin bot type
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@@ -23,6 +23,7 @@ class LinkAIBot(Bot, OpenAIImage):
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def __init__(self):
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super().__init__()
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self.sessions = SessionManager(ChatGPTSession, model=conf().get("model") or "gpt-3.5-turbo")
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self.args = {}
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def reply(self, query, context: Context = None) -> Reply:
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if context.type == ContextType.TEXT:
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@@ -72,7 +73,7 @@ class LinkAIBot(Bot, OpenAIImage):
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body = {
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"app_code": app_code,
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"messages": session.messages,
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"model": model, # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin
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"model": model, # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
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"temperature": conf().get("temperature"),
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"top_p": conf().get("top_p", 1),
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"frequency_penalty": conf().get("frequency_penalty", 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
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@@ -114,3 +115,68 @@ class LinkAIBot(Bot, OpenAIImage):
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time.sleep(2)
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logger.warn(f"[LINKAI] do retry, times={retry_count}")
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return self._chat(query, context, retry_count + 1)
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def reply_text(self, session: ChatGPTSession, app_code="", retry_count=0) -> dict:
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if retry_count >= 2:
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# exit from retry 2 times
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logger.warn("[LINKAI] failed after maximum number of retry times")
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return {
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"total_tokens": 0,
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"completion_tokens": 0,
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"content": "请再问我一次吧"
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}
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try:
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body = {
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"app_code": app_code,
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"messages": session.messages,
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"model": conf().get("model") or "gpt-3.5-turbo", # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
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"temperature": conf().get("temperature"),
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"top_p": conf().get("top_p", 1),
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"frequency_penalty": conf().get("frequency_penalty", 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
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"presence_penalty": conf().get("presence_penalty", 0.0), # [-2,2]之间,该值越大则更倾向于产生不同的内容
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}
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if self.args.get("max_tokens"):
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body["max_tokens"] = self.args.get("max_tokens")
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headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
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# do http request
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base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
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res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
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timeout=conf().get("request_timeout", 180))
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if res.status_code == 200:
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# execute success
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response = res.json()
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reply_content = response["choices"][0]["message"]["content"]
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total_tokens = response["usage"]["total_tokens"]
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logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
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return {
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"total_tokens": total_tokens,
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"completion_tokens": response["usage"]["completion_tokens"],
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"content": reply_content,
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}
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else:
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response = res.json()
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error = response.get("error")
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logger.error(f"[LINKAI] chat failed, status_code={res.status_code}, "
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f"msg={error.get('message')}, type={error.get('type')}")
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if res.status_code >= 500:
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# server error, need retry
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time.sleep(2)
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logger.warn(f"[LINKAI] do retry, times={retry_count}")
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return self.reply_text(session, app_code, retry_count + 1)
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return {
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"total_tokens": 0,
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"completion_tokens": 0,
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"content": "提问太快啦,请休息一下再问我吧"
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}
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except Exception as e:
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logger.exception(e)
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# retry
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time.sleep(2)
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logger.warn(f"[LINKAI] do retry, times={retry_count}")
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return self.reply_text(session, app_code, retry_count + 1)
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