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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 api.settings import database_logger
from rag.llm import EmbeddingModel, CvModel, ChatModel
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
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, llm_name=None, lang="Chinese"):
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 if not llm_name else llm_name
else:
assert False, "LLM type error"
model_config = cls.get_api_key(tenant_id, mdlnm)
if not model_config:
raise LookupError("Model({}) not authorized".format(mdlnm))
model_config = model_config.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"], lang)
if llm_type == LLMType.CHAT.value:
if model_config["llm_factory"] not in ChatModel:
return
return ChatModel[model_config["llm_factory"]](
model_config["api_key"], model_config["llm_name"])
@classmethod
@DB.connection_context()
def increase_usage(cls, tenant_id, llm_type, used_tokens, llm_name=None):
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 if not llm_name else llm_name
else:
assert False, "LLM type error"
num = cls.model.update(used_tokens=cls.model.used_tokens + used_tokens)\
.where(cls.model.tenant_id == tenant_id, cls.model.llm_name == mdlnm)\
.execute()
return num
class LLMBundle(object):
def __init__(self, tenant_id, llm_type, llm_name=None, lang="Chinese"):
self.tenant_id = tenant_id
self.llm_type = llm_type
self.llm_name = llm_name
self.mdl = TenantLLMService.model_instance(tenant_id, llm_type, llm_name, lang=lang)
assert self.mdl, "Can't find mole for {}/{}/{}".format(tenant_id, llm_type, llm_name)
def encode(self, texts: list, batch_size=32):
emd, used_tokens = self.mdl.encode(texts, batch_size)
if TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
database_logger.error("Can't update token usage for {}/EMBEDDING".format(self.tenant_id))
return emd, used_tokens
def encode_queries(self, query: str):
emd, used_tokens = self.mdl.encode_queries(query)
if TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
database_logger.error("Can't update token usage for {}/EMBEDDING".format(self.tenant_id))
return emd, used_tokens
def describe(self, image, max_tokens=300):
txt, used_tokens = self.mdl.describe(image, max_tokens)
if not TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens):
database_logger.error("Can't update token usage for {}/IMAGE2TEXT".format(self.tenant_id))
return txt
def chat(self, system, history, gen_conf):
txt, used_tokens = self.mdl.chat(system, history, gen_conf)
if TenantLLMService.increase_usage(self.tenant_id, self.llm_type, used_tokens, self.llm_name):
database_logger.error("Can't update token usage for {}/CHAT".format(self.tenant_id))
return txt
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