codefuse-chatbot/examples/model_workers/fangzhou.py

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from fastchat.conversation import Conversation
from .base import *
from fastchat import conversation as conv
import sys, os
from typing import List, Literal, Dict
from loguru import logger
# from configs import logger, log_verbose
log_verbose = os.environ.get("log_verbose", False)
class FangZhouWorker(ApiModelWorker):
"""
火山方舟
"""
def __init__(
self,
*,
model_names: List[str] = ["fangzhou-api"],
controller_addr: str = None,
worker_addr: str = None,
version: Literal["chatglm-6b-model"] = "chatglm-6b-model",
**kwargs,
):
kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
kwargs.setdefault("context_len", 16384) # TODO: 不同的模型有不同的大小
super().__init__(**kwargs)
self.version = version
def do_chat(self, params: ApiChatParams) -> Dict:
from volcengine.maas import MaasService
params.load_config(self.model_names[0])
maas = MaasService('maas-api.ml-platform-cn-beijing.volces.com', 'cn-beijing')
maas.set_ak(params.api_key)
maas.set_sk(params.secret_key)
# document: "https://www.volcengine.com/docs/82379/1099475"
req = {
"model": {
"name": params.version,
},
"parameters": {
# 这里的参数仅为示例,具体可用的参数请参考具体模型的 API 说明
"max_new_tokens": params.max_tokens,
"temperature": params.temperature,
},
"messages": params.messages,
}
text = ""
if log_verbose:
self.logger.info(f'{self.__class__.__name__}:maas: {maas}')
for resp in maas.stream_chat(req):
if error := resp.error:
if error.code_n > 0:
data = {
"error_code": error.code_n,
"text": error.message,
"error": {
"message": error.message,
"type": "invalid_request_error",
"param": None,
"code": None,
}
}
self.logger.error(f"请求方舟 API 时发生错误:{data}")
yield data
elif chunk := resp.choice.message.content:
text += chunk
yield {"error_code": 0, "text": text}
else:
data = {
"error_code": 500,
"text": f"请求方舟 API 时发生未知的错误: {resp}"
}
self.logger.error(data)
yield data
break
def get_embeddings(self, params):
# TODO: 支持embeddings
print("embedding")
print(params)
def make_conv_template(self, conv_template: str = None, model_path: str = None) -> Conversation:
return conv.Conversation(
name=self.model_names[0],
system_message="你是一个聪明、对人类有帮助的人工智能,你可以对人类提出的问题给出有用、详细、礼貌的回答。",
messages=[],
roles=["user", "assistant", "system"],
sep="\n### ",
stop_str="###",
)
if __name__ == "__main__":
import uvicorn
from server.utils import MakeFastAPIOffline
from fastchat.serve.model_worker import app
worker = FangZhouWorker(
controller_addr="http://127.0.0.1:20001",
worker_addr="http://127.0.0.1:21005",
)
sys.modules["fastchat.serve.model_worker"].worker = worker
MakeFastAPIOffline(app)
uvicorn.run(app, port=21005)