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https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-03-04 07:43:46 +08:00
support stream mode for QwQ-32B
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@@ -31,7 +31,7 @@ class ModelScopeBot(Bot):
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self.base_url = conf().get("modelscope_base_url", "https://api-inference.modelscope.cn/v1/chat/completions")
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"""
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需要获取MOdelScope支持API-inference的模型名称列表,请到魔搭社区官网模型中心查看 https://modelscope.cn/models?filter=inference_type&page=1。
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或者使用命令 curl https://api-inference.modelscope.cn/v1/models 对模型列表和ID进行获取。
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或者使用命令 curl https://api-inference.modelscope.cn/v1/models 对模型列表和ID进行获取。查看bridge.py文件也可以获取模型列表。
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获取ModelScope的免费API Key,请到魔搭社区官网用户中心查看获取方式 https://modelscope.cn/docs/model-service/API-Inference/intro。
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"""
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def reply(self, query, context=None):
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@@ -60,11 +60,12 @@ class ModelScopeBot(Bot):
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new_args = self.args.copy()
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if model:
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new_args["model"] = model
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# if context.get('stream'):
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# # reply in stream
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# return self.reply_text_stream(query, new_query, session_id)
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reply_content = self.reply_text(session, args=new_args)
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if new_args["model"] == "Qwen/QwQ-32B":
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reply_content = self.reply_text_stream(session, args=new_args)
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else:
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reply_content = self.reply_text(session, args=new_args)
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logger.debug(
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"[MODELSCOPE_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
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session.messages,
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@@ -74,7 +75,11 @@ class ModelScopeBot(Bot):
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)
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)
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if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
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reply = Reply(ReplyType.ERROR, reply_content["content"])
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# 只有当 content 为空且 completion_tokens 为 0 时才标记为错误
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if len(reply_content["content"]) == 0:
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reply = Reply(ReplyType.ERROR, reply_content["content"])
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else:
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reply = Reply(ReplyType.TEXT, reply_content["content"])
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elif reply_content["completion_tokens"] > 0:
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self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
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reply = Reply(ReplyType.TEXT, reply_content["content"])
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@@ -102,8 +107,6 @@ class ModelScopeBot(Bot):
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body = args
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body["messages"] = session.messages
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# logger.debug("[MODELSCOPE_AI] response={}".format(response))
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# logger.info("[MODELSCOPE_AI] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
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res = requests.post(
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self.base_url,
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headers=headers,
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@@ -150,3 +153,80 @@ class ModelScopeBot(Bot):
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return self.reply_text(session, args, retry_count + 1)
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else:
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return result
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def reply_text_stream(self, session: ModelScopeSession, args=None, retry_count=0) -> dict:
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"""
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call ModelScope's ChatCompletion to get the answer with stream response
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:param session: a conversation session
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:param session_id: session id
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:param retry_count: retry count
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:return: {}
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"""
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try:
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer " + self.api_key
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}
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body = args
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body["messages"] = session.messages
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body["stream"] = True # 启用流式响应
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res = requests.post(
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self.base_url,
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headers=headers,
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data=json.dumps(body),
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stream=True
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)
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print(res.status_code)
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if res.status_code == 200:
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content = ""
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for line in res.iter_lines():
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if line:
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decoded_line = line.decode('utf-8')
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if decoded_line.startswith("data: "):
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try:
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json_data = json.loads(decoded_line[6:])
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delta_content = json_data.get("choices", [{}])[0].get("delta", {}).get("content", "")
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if delta_content:
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content += delta_content
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except json.JSONDecodeError as e:
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pass
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return {
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"total_tokens": 1, # 流式响应通常不返回token使用情况
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"completion_tokens": 1,
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"content": 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"[MODELSCOPE_AI] chat failed, status_code={res.status_code}, "
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f"msg={error.get('message')}, type={error.get('type')}")
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result = {"completion_tokens": 0, "content": "提问太快啦,请休息一下再问我吧"}
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need_retry = False
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if res.status_code >= 500:
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# server error, need retry
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logger.warn(f"[MODELSCOPE_AI] do retry, times={retry_count}")
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need_retry = retry_count < 2
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elif res.status_code == 401:
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result["content"] = "授权失败,请检查API Key是否正确"
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elif res.status_code == 429:
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result["content"] = "请求过于频繁,请稍后再试"
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need_retry = retry_count < 2
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else:
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need_retry = False
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if need_retry:
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time.sleep(3)
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return self.reply_text_stream(session, args, retry_count + 1)
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else:
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return result
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except Exception as e:
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logger.exception(e)
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need_retry = retry_count < 2
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result = {"completion_tokens": 0, "content": "我现在有点累了,等会再来吧"}
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if need_retry:
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return self.reply_text_stream(session, args, retry_count + 1)
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else:
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return result
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