95 lines
3.4 KiB
Python
95 lines
3.4 KiB
Python
|
import sys
|
||
|
|
from fastchat.conversation import Conversation
|
||
|
|
from .base import *
|
||
|
|
# from server.utils import get_httpx_client
|
||
|
|
from fastchat import conversation as conv
|
||
|
|
import json
|
||
|
|
from typing import List, Dict
|
||
|
|
from configs import logger, log_verbose
|
||
|
|
|
||
|
|
|
||
|
|
class AzureWorker(ApiModelWorker):
|
||
|
|
def __init__(
|
||
|
|
self,
|
||
|
|
*,
|
||
|
|
controller_addr: str = None,
|
||
|
|
worker_addr: str = None,
|
||
|
|
model_names: List[str] = ["azure-api"],
|
||
|
|
version: str = "gpt-35-turbo",
|
||
|
|
**kwargs,
|
||
|
|
):
|
||
|
|
kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
|
||
|
|
kwargs.setdefault("context_len", 8000) #TODO 16K模型需要改成16384
|
||
|
|
super().__init__(**kwargs)
|
||
|
|
self.version = version
|
||
|
|
|
||
|
|
def do_chat(self, params: ApiChatParams) -> Dict:
|
||
|
|
params.load_config(self.model_names[0])
|
||
|
|
data = dict(
|
||
|
|
messages=params.messages,
|
||
|
|
temperature=params.temperature,
|
||
|
|
max_tokens=params.max_tokens,
|
||
|
|
stream=True,
|
||
|
|
)
|
||
|
|
url = ("https://{}.openai.azure.com/openai/deployments/{}/chat/completions?api-version={}"
|
||
|
|
.format(params.resource_name, params.deployment_name, params.api_version))
|
||
|
|
headers = {
|
||
|
|
'Content-Type': 'application/json',
|
||
|
|
'Accept': 'application/json',
|
||
|
|
'api-key': params.api_key,
|
||
|
|
}
|
||
|
|
|
||
|
|
text = ""
|
||
|
|
if log_verbose:
|
||
|
|
logger.info(f'{self.__class__.__name__}:url: {url}')
|
||
|
|
logger.info(f'{self.__class__.__name__}:headers: {headers}')
|
||
|
|
logger.info(f'{self.__class__.__name__}:data: {data}')
|
||
|
|
|
||
|
|
with get_httpx_client() as client:
|
||
|
|
with client.stream("POST", url, headers=headers, json=data) as response:
|
||
|
|
for line in response.iter_lines():
|
||
|
|
if not line.strip() or "[DONE]" in line:
|
||
|
|
continue
|
||
|
|
if line.startswith("data: "):
|
||
|
|
line = line[6:]
|
||
|
|
resp = json.loads(line)
|
||
|
|
if choices := resp["choices"]:
|
||
|
|
if chunk := choices[0].get("delta", {}).get("content"):
|
||
|
|
text += chunk
|
||
|
|
yield {
|
||
|
|
"error_code": 0,
|
||
|
|
"text": text
|
||
|
|
}
|
||
|
|
else:
|
||
|
|
self.logger.error(f"请求 Azure API 时发生错误：{resp}")
|
||
|
|
|
||
|
|
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:
|
||
|
|
# TODO: 确认模板是否需要修改
|
||
|
|
return conv.Conversation(
|
||
|
|
name=self.model_names[0],
|
||
|
|
system_message="You are a helpful, respectful and honest assistant.",
|
||
|
|
messages=[],
|
||
|
|
roles=["user", "assistant"],
|
||
|
|
sep="\n### ",
|
||
|
|
stop_str="###",
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
import uvicorn
|
||
|
|
from server.utils import MakeFastAPIOffline
|
||
|
|
from fastchat.serve.base_model_worker import app
|
||
|
|
|
||
|
|
worker = AzureWorker(
|
||
|
|
controller_addr="http://127.0.0.1:20001",
|
||
|
|
worker_addr="http://127.0.0.1:21008",
|
||
|
|
)
|
||
|
|
sys.modules["fastchat.serve.model_worker"].worker = worker
|
||
|
|
MakeFastAPIOffline(app)
|
||
|
|
uvicorn.run(app, port=21008)
|