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| # flake8: noqa | |
| """Global values and configuration that apply to all of LangChain.""" | |
| import warnings | |
| from typing import TYPE_CHECKING, Optional | |
| if TYPE_CHECKING: | |
| from langchain_core.caches import BaseCache | |
| # DO NOT USE THESE VALUES DIRECTLY! | |
| # Use them only via `get_<X>()` and `set_<X>()` below, | |
| # or else your code may behave unexpectedly with other uses of these global settings: | |
| # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004 | |
| _verbose: bool = False | |
| _debug: bool = False | |
| _llm_cache: Optional["BaseCache"] = None | |
| def set_verbose(value: bool) -> None: | |
| """Set a new value for the `verbose` global setting.""" | |
| try: | |
| import langchain # type: ignore[import] | |
| # We're about to run some deprecated code, don't report warnings from it. | |
| # The user called the correct (non-deprecated) code path and shouldn't get warnings. | |
| with warnings.catch_warnings(): | |
| warnings.filterwarnings( | |
| "ignore", | |
| message=( | |
| "Importing verbose from langchain root module is no longer supported" | |
| ), | |
| ) | |
| # N.B.: This is a workaround for an unfortunate quirk of Python's | |
| # module-level `__getattr__()` implementation: | |
| # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004 | |
| # | |
| # Remove it once `langchain.verbose` is no longer supported, and once all users | |
| # have migrated to using `set_verbose()` here. | |
| langchain.verbose = value | |
| except ImportError: | |
| pass | |
| global _verbose | |
| _verbose = value | |
| def get_verbose() -> bool: | |
| """Get the value of the `verbose` global setting.""" | |
| try: | |
| import langchain # type: ignore[import] | |
| # We're about to run some deprecated code, don't report warnings from it. | |
| # The user called the correct (non-deprecated) code path and shouldn't get warnings. | |
| with warnings.catch_warnings(): | |
| warnings.filterwarnings( | |
| "ignore", | |
| message=( | |
| ".*Importing verbose from langchain root module is no longer supported" | |
| ), | |
| ) | |
| # N.B.: This is a workaround for an unfortunate quirk of Python's | |
| # module-level `__getattr__()` implementation: | |
| # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004 | |
| # | |
| # Remove it once `langchain.verbose` is no longer supported, and once all users | |
| # have migrated to using `set_verbose()` here. | |
| # | |
| # In the meantime, the `verbose` setting is considered True if either the old | |
| # or the new value are True. This accommodates users who haven't migrated | |
| # to using `set_verbose()` yet. Those users are getting deprecation warnings | |
| # directing them to use `set_verbose()` when they import `langhchain.verbose`. | |
| old_verbose = langchain.verbose | |
| except ImportError: | |
| old_verbose = False | |
| global _verbose | |
| return _verbose or old_verbose | |
| def set_debug(value: bool) -> None: | |
| """Set a new value for the `debug` global setting.""" | |
| try: | |
| import langchain # type: ignore[import] | |
| # We're about to run some deprecated code, don't report warnings from it. | |
| # The user called the correct (non-deprecated) code path and shouldn't get warnings. | |
| with warnings.catch_warnings(): | |
| warnings.filterwarnings( | |
| "ignore", | |
| message="Importing debug from langchain root module is no longer supported", | |
| ) | |
| # N.B.: This is a workaround for an unfortunate quirk of Python's | |
| # module-level `__getattr__()` implementation: | |
| # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004 | |
| # | |
| # Remove it once `langchain.debug` is no longer supported, and once all users | |
| # have migrated to using `set_debug()` here. | |
| langchain.debug = value | |
| except ImportError: | |
| pass | |
| global _debug | |
| _debug = value | |
| def get_debug() -> bool: | |
| """Get the value of the `debug` global setting.""" | |
| try: | |
| import langchain # type: ignore[import] | |
| # We're about to run some deprecated code, don't report warnings from it. | |
| # The user called the correct (non-deprecated) code path and shouldn't get warnings. | |
| with warnings.catch_warnings(): | |
| warnings.filterwarnings( | |
| "ignore", | |
| message="Importing debug from langchain root module is no longer supported", | |
| ) | |
| # N.B.: This is a workaround for an unfortunate quirk of Python's | |
| # module-level `__getattr__()` implementation: | |
| # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004 | |
| # | |
| # Remove it once `langchain.debug` is no longer supported, and once all users | |
| # have migrated to using `set_debug()` here. | |
| # | |
| # In the meantime, the `debug` setting is considered True if either the old | |
| # or the new value are True. This accommodates users who haven't migrated | |
| # to using `set_debug()` yet. Those users are getting deprecation warnings | |
| # directing them to use `set_debug()` when they import `langhchain.debug`. | |
| old_debug = langchain.debug | |
| except ImportError: | |
| old_debug = False | |
| global _debug | |
| return _debug or old_debug | |
| def set_llm_cache(value: Optional["BaseCache"]) -> None: | |
| """Set a new LLM cache, overwriting the previous value, if any.""" | |
| try: | |
| import langchain # type: ignore[import] | |
| # We're about to run some deprecated code, don't report warnings from it. | |
| # The user called the correct (non-deprecated) code path and shouldn't get warnings. | |
| with warnings.catch_warnings(): | |
| warnings.filterwarnings( | |
| "ignore", | |
| message=( | |
| "Importing llm_cache from langchain root module is no longer supported" | |
| ), | |
| ) | |
| # N.B.: This is a workaround for an unfortunate quirk of Python's | |
| # module-level `__getattr__()` implementation: | |
| # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004 | |
| # | |
| # Remove it once `langchain.llm_cache` is no longer supported, and | |
| # once all users have migrated to using `set_llm_cache()` here. | |
| langchain.llm_cache = value | |
| except ImportError: | |
| pass | |
| global _llm_cache | |
| _llm_cache = value | |
| def get_llm_cache() -> "BaseCache": | |
| """Get the value of the `llm_cache` global setting.""" | |
| try: | |
| import langchain # type: ignore[import] | |
| # We're about to run some deprecated code, don't report warnings from it. | |
| # The user called the correct (non-deprecated) code path and shouldn't get warnings. | |
| with warnings.catch_warnings(): | |
| warnings.filterwarnings( | |
| "ignore", | |
| message=( | |
| "Importing llm_cache from langchain root module is no longer supported" | |
| ), | |
| ) | |
| # N.B.: This is a workaround for an unfortunate quirk of Python's | |
| # module-level `__getattr__()` implementation: | |
| # https://github.com/langchain-ai/langchain/pull/11311#issuecomment-1743780004 | |
| # | |
| # Remove it once `langchain.llm_cache` is no longer supported, and | |
| # once all users have migrated to using `set_llm_cache()` here. | |
| # | |
| # In the meantime, the `llm_cache` setting returns whichever of | |
| # its two backing sources is truthy (not `None` and non-empty), | |
| # or the old value if both are falsy. This accommodates users | |
| # who haven't migrated to using `set_llm_cache()` yet. | |
| # Those users are getting deprecation warnings directing them | |
| # to use `set_llm_cache()` when they import `langhchain.llm_cache`. | |
| old_llm_cache = langchain.llm_cache | |
| except ImportError: | |
| old_llm_cache = None | |
| global _llm_cache | |
| return _llm_cache or old_llm_cache | |