1. 增加baichuan-api支持；2.增加批量复制configs下.example文件为.py文件的脚本copy_config_example.py;3. 更新model_config.py.example
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@ -174,6 +174,14 @@ ONLINE_LLM_MODEL = {
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"api_key": "", # 请在阿里云控制台模型服务灵积API-KEY管理页面创建
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"provider": "QwenWorker",
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},
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# 百川 API，申请方式请参考 https://www.baichuan-ai.com/home#api-enter
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"baichuan-api": {
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"version": "Baichuan2-53B", # 当前支持 "Baichuan2-53B"， 见官方文档。
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"api_key": "",
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"secret_key": "",
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"provider": "BaiChuanWorker",
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},
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}
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@ -0,0 +1,13 @@
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# 用于批量将configs下的.example文件复制并命名为.py文件
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import os
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import shutil
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files = os.listdir("configs")
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src_files = [os.path.join("configs",file) for file in files if ".example" in file]
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for src_file in src_files:
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tar_file = src_file.replace(".example","")
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shutil.copy(src_file,tar_file)
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@ -0,0 +1,163 @@
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# import os
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# import sys
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# sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
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import requests
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import json
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import time
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import hashlib
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from server.model_workers.base import ApiModelWorker
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from fastchat import conversation as conv
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import sys
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import json
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from typing import List, Literal
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from configs import TEMPERATURE
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def calculate_md5(input_string):
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md5 = hashlib.md5()
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md5.update(input_string.encode('utf-8'))
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encrypted = md5.hexdigest()
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return encrypted
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def do_request():
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url = "https://api.baichuan-ai.com/v1/stream/chat"
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api_key = ""
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secret_key = ""
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data = {
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"model": "Baichuan2-53B",
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"messages": [
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{
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"role": "user",
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"content": "世界第一高峰是"
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}
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],
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"parameters": {
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"temperature": 0.1,
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"top_k": 10
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}
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}
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json_data = json.dumps(data)
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time_stamp = int(time.time())
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signature = calculate_md5(secret_key + json_data + str(time_stamp))
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer " + api_key,
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"X-BC-Request-Id": "your requestId",
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"X-BC-Timestamp": str(time_stamp),
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"X-BC-Signature": signature,
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"X-BC-Sign-Algo": "MD5",
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}
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response = requests.post(url, data=json_data, headers=headers)
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if response.status_code == 200:
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print("请求成功！")
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print("响应header:", response.headers)
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print("响应body:", response.text)
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else:
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print("请求失败，状态码:", response.status_code)
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class BaiChuanWorker(ApiModelWorker):
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BASE_URL = "https://api.baichuan-ai.com/v1/chat"
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SUPPORT_MODELS = ["Baichuan2-53B"]
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def __init__(
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self,
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*,
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controller_addr: str,
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worker_addr: str,
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model_names: List[str] = ["baichuan-api"],
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version: Literal["Baichuan2-53B"] = "Baichuan2-53B",
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**kwargs,
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):
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kwargs.update(model_names=model_names, controller_addr=controller_addr, worker_addr=worker_addr)
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kwargs.setdefault("context_len", 32768)
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super().__init__(**kwargs)
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# TODO: 确认模板是否需要修改
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self.conv = conv.Conversation(
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name=self.model_names[0],
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system_message="",
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messages=[],
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roles=["user", "assistant"],
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sep="\n### ",
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stop_str="###",
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)
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config = self.get_config()
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self.version = config.get("version",version)
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self.api_key = config.get("api_key")
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self.secret_key = config.get("secret_key")
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def generate_stream_gate(self, params):
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data = {
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"model": self.version,
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"messages": [
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{
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"role": "user",
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"content": params["prompt"]
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}
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],
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"parameters": {
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"temperature": params.get("temperature",TEMPERATURE),
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"top_k": params.get("top_k",1)
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}
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}
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json_data = json.dumps(data)
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time_stamp = int(time.time())
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signature = calculate_md5(self.secret_key + json_data + str(time_stamp))
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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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"X-BC-Request-Id": "your requestId",
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"X-BC-Timestamp": str(time_stamp),
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"X-BC-Signature": signature,
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"X-BC-Sign-Algo": "MD5",
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}
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response = requests.post(self.BASE_URL, data=json_data, headers=headers)
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if response.status_code == 200:
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resp = eval(response.text)
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yield json.dumps(
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{
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"error_code": resp["code"],
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"text": resp["data"]["messages"][-1]["content"]
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},
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ensure_ascii=False
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).encode() + b"\0"
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else:
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yield json.dumps(
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{
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"error_code": resp["code"],
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"text": resp["msg"]
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},
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ensure_ascii=False
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).encode() + b"\0"
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def get_embeddings(self, params):
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# TODO: 支持embeddings
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print("embedding")
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print(params)
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if __name__ == "__main__":
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# import uvicorn
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# from server.utils import MakeFastAPIOffline
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# from fastchat.serve.model_worker import app
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# worker = BaiChuanWorker(
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# controller_addr="http://127.0.0.1:20001",
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# worker_addr="http://127.0.0.1:21001",
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# )
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# sys.modules["fastchat.serve.model_worker"].worker = worker
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# MakeFastAPIOffline(app)
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# uvicorn.run(app, port=21001)
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# do_request()
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