Merge branch 'add-keyword-extraction-param-for-llm' into fix-mutable-default-param
Browse files
lightrag/api/lightrag_server.py
CHANGED
@@ -17,6 +17,7 @@ import argparse
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from typing import List, Any, Optional, Union, Dict
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from pydantic import BaseModel
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from lightrag import LightRAG, QueryParam
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from lightrag.api import __api_version__
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from lightrag.utils import EmbeddingFunc
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from enum import Enum
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@@ -756,6 +757,9 @@ def create_app(args):
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keyword_extraction=False,
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**kwargs,
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) -> str:
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if history_messages is None:
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history_messages = []
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return await openai_complete_if_cache(
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@@ -775,6 +779,9 @@ def create_app(args):
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keyword_extraction=False,
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**kwargs,
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) -> str:
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if history_messages is None:
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history_messages = []
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return await azure_openai_complete_if_cache(
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from typing import List, Any, Optional, Union, Dict
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from pydantic import BaseModel
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from lightrag import LightRAG, QueryParam
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+
from lightrag.types import GPTKeywordExtractionFormat
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from lightrag.api import __api_version__
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from lightrag.utils import EmbeddingFunc
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from enum import Enum
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keyword_extraction=False,
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**kwargs,
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) -> str:
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keyword_extraction = kwargs.pop("keyword_extraction", None)
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if keyword_extraction:
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kwargs["response_format"] = GPTKeywordExtractionFormat
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if history_messages is None:
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history_messages = []
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return await openai_complete_if_cache(
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keyword_extraction=False,
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**kwargs,
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) -> str:
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+
keyword_extraction = kwargs.pop("keyword_extraction", None)
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if keyword_extraction:
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kwargs["response_format"] = GPTKeywordExtractionFormat
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if history_messages is None:
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history_messages = []
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return await azure_openai_complete_if_cache(
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