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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 graphrag.utils import get_llm_cache, set_llm_cache
from rag.llm.chat_model import Base as CompletionLLM
class Extractor:
_llm: CompletionLLM
def __init__(self, llm_invoker: CompletionLLM):
self._llm = llm_invoker
def _chat(self, system, history, gen_conf):
response = get_llm_cache(self._llm.llm_name, system, history, gen_conf)
if response:
return response
response = self._llm.chat(system, history, gen_conf)
if response.find("**ERROR**") >= 0:
raise Exception(response)
set_llm_cache(self._llm.llm_name, system, response, history, gen_conf)
return response
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