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35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
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#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from graphrag.utils import get_llm_cache, set_llm_cache
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from rag.llm.chat_model import Base as CompletionLLM
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class Extractor:
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_llm: CompletionLLM
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def __init__(self, llm_invoker: CompletionLLM):
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self._llm = llm_invoker
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def _chat(self, system, history, gen_conf):
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response = get_llm_cache(self._llm.llm_name, system, history, gen_conf)
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if response:
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return response
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response = self._llm.chat(system, history, gen_conf)
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if response.find("**ERROR**") >= 0:
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raise Exception(response)
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set_llm_cache(self._llm.llm_name, system, response, history, gen_conf)
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return response
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