167 lines
5.0 KiB
Plaintext
167 lines
5.0 KiB
Plaintext
from .model_config import LLM_MODEL, LLM_DEVICE
|
||
import os
|
||
|
||
# API 是否开启跨域，默认为False，如果需要开启，请设置为True
|
||
# is open cross domain
|
||
OPEN_CROSS_DOMAIN = False
|
||
# 是否用容器来启动服务
|
||
DOCKER_SERVICE = True
|
||
# 是否采用容器沙箱
|
||
SANDBOX_DO_REMOTE = True
|
||
# 是否采用api服务来进行
|
||
NO_REMOTE_API = True
|
||
# 各服务器默认绑定host
|
||
DEFAULT_BIND_HOST = "127.0.0.1"
|
||
|
||
#
|
||
CONTRAINER_NAME = "devopsgpt_webui"
|
||
IMAGE_NAME = "devopsgpt:py39"
|
||
|
||
# webui.py server
|
||
WEBUI_SERVER = {
|
||
"host": DEFAULT_BIND_HOST,
|
||
"port": 8501,
|
||
"docker_port": 8501
|
||
}
|
||
|
||
# api.py server
|
||
API_SERVER = {
|
||
"host": DEFAULT_BIND_HOST,
|
||
"port": 7861,
|
||
"docker_port": 7861
|
||
}
|
||
|
||
# sdfile_api.py server
|
||
SDFILE_API_SERVER = {
|
||
"host": DEFAULT_BIND_HOST,
|
||
"port": 7862,
|
||
"docker_port": 7862
|
||
}
|
||
|
||
# fastchat openai_api server
|
||
FSCHAT_OPENAI_API = {
|
||
"host": DEFAULT_BIND_HOST,
|
||
"port": 8888, # model_config.llm_model_dict中模型配置的api_base_url需要与这里一致。
|
||
"docker_port": 8888, # model_config.llm_model_dict中模型配置的api_base_url需要与这里一致。
|
||
}
|
||
|
||
# nebula conf
|
||
NEBULA_HOST = DEFAULT_BIND_HOST
|
||
NEBULA_PORT = 9669
|
||
NEBULA_STORAGED_PORT = 9779
|
||
NEBULA_USER = 'root'
|
||
NEBULA_PASSWORD = ''
|
||
NEBULA_GRAPH_SERVER = {
|
||
"host": DEFAULT_BIND_HOST,
|
||
"port": NEBULA_PORT,
|
||
"docker_port": NEBULA_PORT
|
||
}
|
||
|
||
# chroma conf
|
||
CHROMA_PERSISTENT_PATH = '/home/user/chatbot/data/chroma_data'
|
||
|
||
# sandbox api server
|
||
SANDBOX_CONTRAINER_NAME = "devopsgpt_sandbox"
|
||
SANDBOX_IMAGE_NAME = "devopsgpt:py39"
|
||
SANDBOX_HOST = os.environ.get("SANDBOX_HOST") or DEFAULT_BIND_HOST # "172.25.0.3"
|
||
SANDBOX_SERVER = {
|
||
"host": f"http://{SANDBOX_HOST}",
|
||
"port": 5050,
|
||
"docker_port": 5050,
|
||
"url": f"http://{SANDBOX_HOST}:5050",
|
||
"do_remote": SANDBOX_DO_REMOTE,
|
||
}
|
||
|
||
# fastchat model_worker server
|
||
# 这些模型必须是在model_config.llm_model_dict中正确配置的。
|
||
# 在启动startup.py时，可用通过`--model-worker --model-name xxxx`指定模型，不指定则为LLM_MODEL
|
||
FSCHAT_MODEL_WORKERS = {
|
||
"default": {
|
||
"host": DEFAULT_BIND_HOST,
|
||
"port": 20002,
|
||
"device": LLM_DEVICE,
|
||
# todo: 多卡加载需要配置的参数
|
||
"gpus": None,
|
||
"numgpus": 1,
|
||
# 以下为非常用参数，可根据需要配置
|
||
# "max_gpu_memory": "20GiB",
|
||
# "load_8bit": False,
|
||
# "cpu_offloading": None,
|
||
# "gptq_ckpt": None,
|
||
# "gptq_wbits": 16,
|
||
# "gptq_groupsize": -1,
|
||
# "gptq_act_order": False,
|
||
# "awq_ckpt": None,
|
||
# "awq_wbits": 16,
|
||
# "awq_groupsize": -1,
|
||
# "model_names": [LLM_MODEL],
|
||
# "conv_template": None,
|
||
# "limit_worker_concurrency": 5,
|
||
# "stream_interval": 2,
|
||
# "no_register": False,
|
||
},
|
||
'codellama_34b': {'host': DEFAULT_BIND_HOST, 'port': 20002},
|
||
'Baichuan2-13B-Base': {'host': DEFAULT_BIND_HOST, 'port': 20003},
|
||
'Baichuan2-13B-Chat': {'host': DEFAULT_BIND_HOST, 'port': 20004},
|
||
'baichuan2-7b-base': {'host': DEFAULT_BIND_HOST, 'port': 20005},
|
||
'baichuan2-7b-chat': {'host': DEFAULT_BIND_HOST, 'port': 20006},
|
||
'internlm-7b-base': {'host': DEFAULT_BIND_HOST, 'port': 20007},
|
||
'internlm-chat-7b': {'host': DEFAULT_BIND_HOST, 'port': 20008},
|
||
'chatglm2-6b': {'host': DEFAULT_BIND_HOST, 'port': 20009},
|
||
'qwen-14b-base': {'host': DEFAULT_BIND_HOST, 'port': 20010},
|
||
'qwen-14b-chat': {'host': DEFAULT_BIND_HOST, 'port': 20011},
|
||
'qwen-1-8B-Chat': {'host': DEFAULT_BIND_HOST, 'port': 20012},
|
||
'Qwen-7B': {'host': DEFAULT_BIND_HOST, 'port': 20013},
|
||
'Qwen-7B-Chat': {'host': DEFAULT_BIND_HOST, 'port': 20014},
|
||
'qwen-7b-base-v1.1': {'host': DEFAULT_BIND_HOST, 'port': 20015},
|
||
'qwen-7b-chat-v1.1': {'host': DEFAULT_BIND_HOST, 'port': 20016},
|
||
'chatglm3-6b': {'host': DEFAULT_BIND_HOST, 'port': 20017},
|
||
'chatglm3-6b-32k': {'host': DEFAULT_BIND_HOST, 'port': 20018},
|
||
'chatglm3-6b-base': {'host': DEFAULT_BIND_HOST, 'port': 20019},
|
||
'Qwen-72B-Chat-Int4': {'host': DEFAULT_BIND_HOST, 'port': 20020},
|
||
'gpt-3.5-turbo': {'host': DEFAULT_BIND_HOST, 'port': 20021}
|
||
}
|
||
# fastchat multi model worker server
|
||
FSCHAT_MULTI_MODEL_WORKERS = {
|
||
# todo
|
||
}
|
||
|
||
# fastchat controller server
|
||
FSCHAT_CONTROLLER = {
|
||
"host": DEFAULT_BIND_HOST,
|
||
"port": 20001,
|
||
"dispatch_method": "shortest_queue",
|
||
}
|
||
|
||
|
||
# 以下不要更改
|
||
def fschat_controller_address() -> str:
|
||
host = FSCHAT_CONTROLLER["host"]
|
||
port = FSCHAT_CONTROLLER["port"]
|
||
return f"http://{host}:{port}"
|
||
|
||
|
||
def fschat_model_worker_address(model_name: str = LLM_MODEL) -> str:
|
||
if model := FSCHAT_MODEL_WORKERS.get(model_name):
|
||
host = model["host"]
|
||
port = model["port"]
|
||
return f"http://{host}:{port}"
|
||
|
||
|
||
def fschat_openai_api_address() -> str:
|
||
host = FSCHAT_OPENAI_API["host"]
|
||
port = FSCHAT_OPENAI_API["port"]
|
||
return f"http://{host}:{port}"
|
||
|
||
|
||
def api_address() -> str:
|
||
host = API_SERVER["host"]
|
||
port = API_SERVER["port"]
|
||
return f"http://{host}:{port}"
|
||
|
||
|
||
def webui_address() -> str:
|
||
host = WEBUI_SERVER["host"]
|
||
port = WEBUI_SERVER["port"]
|
||
return f"http://{host}:{port}"
|