# # Copyright 2019 The InfiniFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from rag.llm import EmbeddingModel, CvModel from api.db import LLMType from api.db.db_models import DB, UserTenant from api.db.db_models import LLMFactories, LLM, TenantLLM from api.db.services.common_service import CommonService from api.db import StatusEnum class LLMFactoriesService(CommonService): model = LLMFactories class LLMService(CommonService): model = LLM class TenantLLMService(CommonService): model = TenantLLM @classmethod @DB.connection_context() def get_api_key(cls, tenant_id, model_type): objs = cls.query(tenant_id=tenant_id, model_type=model_type) if objs and len(objs)>0 and objs[0].llm_name: return objs[0] fields = [LLM.llm_name, cls.model.llm_factory, cls.model.api_key] objs = cls.model.select(*fields).join(LLM, on=(LLM.fid == cls.model.llm_factory)).where( (cls.model.tenant_id == tenant_id), (cls.model.model_type == model_type), (LLM.status == StatusEnum.VALID) ) if not objs:return return objs[0] @classmethod @DB.connection_context() def get_my_llms(cls, tenant_id): fields = [cls.model.llm_factory, LLMFactories.logo, LLMFactories.tags, cls.model.model_type, cls.model.llm_name] objs = cls.model.select(*fields).join(LLMFactories, on=(cls.model.llm_factory==LLMFactories.name)).where(cls.model.tenant_id==tenant_id).dicts() return list(objs) @classmethod @DB.connection_context() def model_instance(cls, tenant_id, llm_type): model_config = cls.get_api_key(tenant_id, model_type=LLMType.EMBEDDING) if not model_config: model_config = {"llm_factory": "local", "api_key": "", "llm_name": ""} else: model_config = model_config[0].to_dict() if llm_type == LLMType.EMBEDDING: if model_config["llm_factory"] not in EmbeddingModel: return return EmbeddingModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"]) if llm_type == LLMType.IMAGE2TEXT: if model_config["llm_factory"] not in CvModel: return return CvModel[model_config.llm_factory](model_config["api_key"], model_config["llm_name"])