ragflow / api /db /services /llm_service.py
KevinHuSh
llm configuation refine and trievalTest API refine (#40)
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#
# Copyright 2024 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 api.db.services.user_service import TenantService
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_name):
objs = cls.query(tenant_id=tenant_id, llm_name=model_name)
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):
e,tenant = TenantService.get_by_id(tenant_id)
if not e: raise LookupError("Tenant not found")
if llm_type == LLMType.EMBEDDING.value: mdlnm = tenant.embd_id
elif llm_type == LLMType.SPEECH2TEXT.value: mdlnm = tenant.asr_id
elif llm_type == LLMType.IMAGE2TEXT.value: mdlnm = tenant.img2txt_id
elif llm_type == LLMType.CHAT.value: mdlnm = tenant.llm_id
else: assert False, "LLM type error"
model_config = cls.get_api_key(tenant_id, mdlnm)
if not model_config: raise LookupError("Model({}) not found".format(mdlnm))
model_config = model_config[0].to_dict()
if llm_type == LLMType.EMBEDDING.value:
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.value:
if model_config["llm_factory"] not in CvModel: return
return CvModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"])