diff --git a/server/llm_api_sh.py b/server/llm_api_sh.py
index 904ac716..3a8e8803 100644
--- a/server/llm_api_sh.py
+++ b/server/llm_api_sh.py
@@ -7,11 +7,157 @@
 import sys
 import os 
 sys.path.append(os.path.dirname(os.path.dirname(__file__)))
-from configs.model_config import LOG_PATH,controller_args,worker_args,server_args,parser
+
 import subprocess
 import re
+import logging
 import argparse
 
+LOG_PATH = "./logs/"
+LOG_FORMAT = "%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s"
+logger = logging.getLogger()
+logger.setLevel(logging.INFO)
+logging.basicConfig(format=LOG_FORMAT)
+
+
+parser = argparse.ArgumentParser()
+#------multi worker-----------------
+parser.add_argument('--model-path-address',
+                    default="THUDM/chatglm2-6b@localhost@20002",
+                    nargs="+",
+                    type=str,
+                    help="model path, host, and port, formatted as model-path@host@path")
+#---------------controller-------------------------
+
+parser.add_argument("--controller-host", type=str, default="localhost")
+parser.add_argument("--controller-port", type=int, default=21001)
+parser.add_argument(
+    "--dispatch-method",
+    type=str,
+    choices=["lottery", "shortest_queue"],
+    default="shortest_queue",
+)
+controller_args = ["controller-host","controller-port","dispatch-method"]
+
+#----------------------worker------------------------------------------
+
+parser.add_argument("--worker-host", type=str, default="localhost")
+parser.add_argument("--worker-port", type=int, default=21002)
+# parser.add_argument("--worker-address", type=str, default="http://localhost:21002")
+# parser.add_argument(
+#     "--controller-address", type=str, default="http://localhost:21001"
+# )
+parser.add_argument(
+    "--model-path",
+    type=str,
+    default="lmsys/vicuna-7b-v1.3",
+    help="The path to the weights. This can be a local folder or a Hugging Face repo ID.",
+)
+parser.add_argument(
+    "--revision",
+    type=str,
+    default="main",
+    help="Hugging Face Hub model revision identifier",
+)
+parser.add_argument(
+    "--device",
+    type=str,
+    choices=["cpu", "cuda", "mps", "xpu"],
+    default="cuda",
+    help="The device type",
+)
+parser.add_argument(
+    "--gpus",
+    type=str,
+    default="0",
+    help="A single GPU like 1 or multiple GPUs like 0,2",
+)
+parser.add_argument("--num-gpus", type=int, default=1)
+parser.add_argument(
+    "--max-gpu-memory",
+    type=str,
+    help="The maximum memory per gpu. Use a string like '13Gib'",
+)
+parser.add_argument(
+    "--load-8bit", action="store_true", help="Use 8-bit quantization"
+)
+parser.add_argument(
+    "--cpu-offloading",
+    action="store_true",
+    help="Only when using 8-bit quantization: Offload excess weights to the CPU that don't fit on the GPU",
+)
+parser.add_argument(
+    "--gptq-ckpt",
+    type=str,
+    default=None,
+    help="Load quantized model. The path to the local GPTQ checkpoint.",
+)
+parser.add_argument(
+    "--gptq-wbits",
+    type=int,
+    default=16,
+    choices=[2, 3, 4, 8, 16],
+    help="#bits to use for quantization",
+)
+parser.add_argument(
+    "--gptq-groupsize",
+    type=int,
+    default=-1,
+    help="Groupsize to use for quantization; default uses full row.",
+)
+parser.add_argument(
+    "--gptq-act-order",
+    action="store_true",
+    help="Whether to apply the activation order GPTQ heuristic",
+)
+parser.add_argument(
+    "--model-names",
+    type=lambda s: s.split(","),
+    help="Optional display comma separated names",
+)
+parser.add_argument(
+    "--limit-worker-concurrency",
+    type=int,
+    default=5,
+    help="Limit the model concurrency to prevent OOM.",
+)
+parser.add_argument("--stream-interval", type=int, default=2)
+parser.add_argument("--no-register", action="store_true")
+
+worker_args = [
+                "worker-host","worker-port",
+                "model-path","revision","device","gpus","num-gpus",
+               "max-gpu-memory","load-8bit","cpu-offloading",
+               "gptq-ckpt","gptq-wbits","gptq-groupsize",
+               "gptq-act-order","model-names","limit-worker-concurrency",
+               "stream-interval","no-register",
+               "controller-address"
+               ]
+#-----------------openai server---------------------------
+
+parser.add_argument("--server-host", type=str, default="localhost", help="host name")
+parser.add_argument("--server-port", type=int, default=8001, help="port number")
+parser.add_argument(
+    "--allow-credentials", action="store_true", help="allow credentials"
+)
+# parser.add_argument(
+#     "--allowed-origins", type=json.loads, default=["*"], help="allowed origins"
+# )
+# parser.add_argument(
+#     "--allowed-methods", type=json.loads, default=["*"], help="allowed methods"
+# )
+# parser.add_argument(
+#     "--allowed-headers", type=json.loads, default=["*"], help="allowed headers"
+# )
+parser.add_argument(
+    "--api-keys",
+    type=lambda s: s.split(","),
+    help="Optional list of comma separated API keys",
+)
+server_args = ["server-host","server-port","allow-credentials","api-keys",
+               "controller-address"
+               ]
+
 args = parser.parse_args()
 # 必须要加http//:，否则InvalidSchema: No connection adapters were found
 args = argparse.Namespace(**vars(args),**{"controller-address":f"http://{args.controller_host}:{str(args.controller_port)}"})