Files
LangBot/pkg/provider/modelmgr/modelmgr.py

144 lines
4.7 KiB
Python

from __future__ import annotations
import sqlalchemy
from . import entities, requester
from ...core import app
from ...core import entities as core_entities
from .. import entities as llm_entities
from ..tools import entities as tools_entities
from ...discover import engine
from . import token
from ...entity.persistence import model as persistence_model
FETCH_MODEL_LIST_URL = 'https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list'
class ModelManager:
"""模型管理器"""
model_list: list[entities.LLMModelInfo] # deprecated
requesters: dict[str, requester.LLMAPIRequester] # deprecated
token_mgrs: dict[str, token.TokenManager] # deprecated
# ====== 4.0 ======
ap: app.Application
llm_models: list[requester.RuntimeLLMModel]
requester_components: list[engine.Component]
requester_dict: dict[str, type[requester.LLMAPIRequester]] # cache
def __init__(self, ap: app.Application):
self.ap = ap
self.model_list = []
self.requesters = {}
self.token_mgrs = {}
self.llm_models = []
self.requester_components = []
self.requester_dict = {}
async def initialize(self):
self.requester_components = self.ap.discover.get_components_by_kind('LLMAPIRequester')
# forge requester class dict
requester_dict: dict[str, type[requester.LLMAPIRequester]] = {}
for component in self.requester_components:
requester_dict[component.metadata.name] = component.get_python_component_class()
self.requester_dict = requester_dict
await self.load_models_from_db()
async def load_models_from_db(self):
"""从数据库加载模型"""
self.ap.logger.info('Loading models from db...')
self.llm_models = []
# llm models
result = await self.ap.persistence_mgr.execute_async(sqlalchemy.select(persistence_model.LLMModel))
llm_models = result.all()
# load models
for llm_model in llm_models:
await self.load_llm_model(llm_model)
async def load_llm_model(
self,
model_info: persistence_model.LLMModel | sqlalchemy.Row[persistence_model.LLMModel] | dict,
):
"""加载模型"""
if isinstance(model_info, sqlalchemy.Row):
model_info = persistence_model.LLMModel(**model_info._mapping)
elif isinstance(model_info, dict):
model_info = persistence_model.LLMModel(**model_info)
requester_inst = self.requester_dict[model_info.requester](ap=self.ap, config=model_info.requester_config)
await requester_inst.initialize()
runtime_llm_model = requester.RuntimeLLMModel(
model_entity=model_info,
token_mgr=token.TokenManager(
name=model_info.uuid,
tokens=model_info.api_keys,
),
requester=requester_inst,
)
self.llm_models.append(runtime_llm_model)
async def get_model_by_name(self, name: str) -> entities.LLMModelInfo: # deprecated
"""通过名称获取模型"""
for model in self.model_list:
if model.name == name:
return model
raise ValueError(f'无法确定模型 {name} 的信息')
async def get_model_by_uuid(self, uuid: str) -> entities.LLMModelInfo:
"""通过uuid获取模型"""
for model in self.llm_models:
if model.model_entity.uuid == uuid:
return model
raise ValueError(f'model {uuid} not found')
async def remove_llm_model(self, model_uuid: str):
"""移除模型"""
for model in self.llm_models:
if model.model_entity.uuid == model_uuid:
self.llm_models.remove(model)
return
def get_available_requesters_info(self) -> list[dict]:
"""获取所有可用的请求器"""
return [component.to_plain_dict() for component in self.requester_components]
def get_available_requester_info_by_name(self, name: str) -> dict | None:
"""通过名称获取请求器信息"""
for component in self.requester_components:
if component.metadata.name == name:
return component.to_plain_dict()
return None
def get_available_requester_manifest_by_name(self, name: str) -> engine.Component | None:
"""通过名称获取请求器清单"""
for component in self.requester_components:
if component.metadata.name == name:
return component
return None
async def invoke_llm(
self,
query: core_entities.Query,
model_uuid: str,
messages: list[llm_entities.Message],
funcs: list[tools_entities.LLMFunction] = None,
) -> llm_entities.Message:
pass