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* Remove globals.py from langchain_v1 * Adjust langchain-core to not inspect langchain namespace
73 lines
1.8 KiB
Python
73 lines
1.8 KiB
Python
"""Global values and configuration that apply to all of LangChain."""
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from typing import TYPE_CHECKING, Optional
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if TYPE_CHECKING:
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from langchain_core.caches import BaseCache
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# DO NOT USE THESE VALUES DIRECTLY!
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# Use them only via `get_<X>()` and `set_<X>()` below,
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# or else your code may behave unexpectedly with other uses of these global settings:
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# https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004
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_verbose: bool = False
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_debug: bool = False
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_llm_cache: Optional["BaseCache"] = None
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def set_verbose(value: bool) -> None: # noqa: FBT001
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"""Set a new value for the `verbose` global setting.
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Args:
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value: The new value for the `verbose` global setting.
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"""
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global _verbose # noqa: PLW0603
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_verbose = value
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def get_verbose() -> bool:
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"""Get the value of the `verbose` global setting.
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Returns:
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The value of the `verbose` global setting.
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"""
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return _verbose
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def set_debug(value: bool) -> None: # noqa: FBT001
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"""Set a new value for the `debug` global setting.
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Args:
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value: The new value for the `debug` global setting.
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"""
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global _debug # noqa: PLW0603
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_debug = value
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def get_debug() -> bool:
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"""Get the value of the `debug` global setting.
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Returns:
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The value of the `debug` global setting.
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"""
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return _debug
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def set_llm_cache(value: Optional["BaseCache"]) -> None:
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"""Set a new LLM cache, overwriting the previous value, if any.
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Args:
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value: The new LLM cache to use. If `None`, the LLM cache is disabled.
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"""
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global _llm_cache # noqa: PLW0603
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_llm_cache = value
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def get_llm_cache() -> Optional["BaseCache"]:
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"""Get the value of the `llm_cache` global setting.
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Returns:
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The value of the `llm_cache` global setting.
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"""
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return _llm_cache
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