support stream mode for QwQ-32B

This commit is contained in:
yanrk123
2025-03-12 15:40:24 +08:00
parent e299b68163
commit c139fd9a57
2 changed files with 89 additions and 9 deletions

View File

@@ -31,7 +31,7 @@ class ModelScopeBot(Bot):
self.base_url = conf().get("modelscope_base_url", "https://api-inference.modelscope.cn/v1/chat/completions")
"""
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。
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。
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。
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。
"""
def reply(self, query, context=None):
@@ -60,11 +60,12 @@ class ModelScopeBot(Bot):
new_args = self.args.copy()
if model:
new_args["model"] = model
# if context.get('stream'):
# # reply in stream
# return self.reply_text_stream(query, new_query, session_id)
reply_content = self.reply_text(session, args=new_args)
if new_args["model"] == "Qwen/QwQ-32B":
reply_content = self.reply_text_stream(session, args=new_args)
else:
reply_content = self.reply_text(session, args=new_args)
logger.debug(
"[MODELSCOPE_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
session.messages,
@@ -74,7 +75,11 @@ class ModelScopeBot(Bot):
)
)
if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
reply = Reply(ReplyType.ERROR, reply_content["content"])
# 只有当 content 为空且 completion_tokens 为 0 时才标记为错误
if len(reply_content["content"]) == 0:
reply = Reply(ReplyType.ERROR, reply_content["content"])
else:
reply = Reply(ReplyType.TEXT, reply_content["content"])
elif reply_content["completion_tokens"] > 0:
self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
reply = Reply(ReplyType.TEXT, reply_content["content"])
@@ -102,8 +107,6 @@ class ModelScopeBot(Bot):
body = args
body["messages"] = session.messages
# logger.debug("[MODELSCOPE_AI] response={}".format(response))
# logger.info("[MODELSCOPE_AI] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
res = requests.post(
self.base_url,
headers=headers,
@@ -150,3 +153,80 @@ class ModelScopeBot(Bot):
return self.reply_text(session, args, retry_count + 1)
else:
return result
def reply_text_stream(self, session: ModelScopeSession, args=None, retry_count=0) -> dict:
"""
call ModelScope's ChatCompletion to get the answer with stream response
:param session: a conversation session
:param session_id: session id
:param retry_count: retry count
:return: {}
"""
try:
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer " + self.api_key
}
body = args
body["messages"] = session.messages
body["stream"] = True # 启用流式响应
res = requests.post(
self.base_url,
headers=headers,
data=json.dumps(body),
stream=True
)
print(res.status_code)
if res.status_code == 200:
content = ""
for line in res.iter_lines():
if line:
decoded_line = line.decode('utf-8')
if decoded_line.startswith("data: "):
try:
json_data = json.loads(decoded_line[6:])
delta_content = json_data.get("choices", [{}])[0].get("delta", {}).get("content", "")
if delta_content:
content += delta_content
except json.JSONDecodeError as e:
pass
return {
"total_tokens": 1, # 流式响应通常不返回token使用情况
"completion_tokens": 1,
"content": content
}
else:
response = res.json()
error = response.get("error")
logger.error(f"[MODELSCOPE_AI] chat failed, status_code={res.status_code}, "
f"msg={error.get('message')}, type={error.get('type')}")
result = {"completion_tokens": 0, "content": "提问太快啦,请休息一下再问我吧"}
need_retry = False
if res.status_code >= 500:
# server error, need retry
logger.warn(f"[MODELSCOPE_AI] do retry, times={retry_count}")
need_retry = retry_count < 2
elif res.status_code == 401:
result["content"] = "授权失败请检查API Key是否正确"
elif res.status_code == 429:
result["content"] = "请求过于频繁,请稍后再试"
need_retry = retry_count < 2
else:
need_retry = False
if need_retry:
time.sleep(3)
return self.reply_text_stream(session, args, retry_count + 1)
else:
return result
except Exception as e:
logger.exception(e)
need_retry = retry_count < 2
result = {"completion_tokens": 0, "content": "我现在有点累了,等会再来吧"}
if need_retry:
return self.reply_text_stream(session, args, retry_count + 1)
else:
return result