mirror of
https://gitee.com/wanwujie/deer-flow
synced 2026-04-03 06:12:14 +08:00
* feat: Add reasoning effort configuration support * Add `reasoning_effort` parameter to model config and agent initialization * Support reasoning effort levels (minimal/low/medium/high) for Doubao/GPT-5 models * Add UI controls in input box for reasoning effort selection * Update doubao-seed-1.8 example config with reasoning effort support Fixes & Cleanup: * Ensure UTF-8 encoding for file operations * Remove unused imports * fix: set reasoning_effort to None for unsupported models * fix: unit test error * Update frontend/src/components/workspace/input-box.tsx Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
69 lines
2.6 KiB
Python
69 lines
2.6 KiB
Python
from importlib import import_module
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def resolve_variable[T](
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variable_path: str,
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expected_type: type[T] | tuple[type, ...] | None = None,
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) -> T:
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"""Resolve a variable from a path.
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Args:
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variable_path: The path to the variable (e.g. "parent_package_name.sub_package_name.module_name:variable_name").
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expected_type: Optional type or tuple of types to validate the resolved variable against.
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If provided, uses isinstance() to check if the variable is an instance of the expected type(s).
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Returns:
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The resolved variable.
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Raises:
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ImportError: If the module path is invalid or the attribute doesn't exist.
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ValueError: If the resolved variable doesn't pass the validation checks.
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"""
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try:
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module_path, variable_name = variable_path.rsplit(":", 1)
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except ValueError as err:
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raise ImportError(f"{variable_path} doesn't look like a variable path. Example: parent_package_name.sub_package_name.module_name:variable_name") from err
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try:
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module = import_module(module_path)
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except ImportError as err:
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raise ImportError(f"Could not import module {module_path}") from err
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try:
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variable = getattr(module, variable_name)
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except AttributeError as err:
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raise ImportError(f"Module {module_path} does not define a {variable_name} attribute/class") from err
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# Type validation
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if expected_type is not None:
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if not isinstance(variable, expected_type):
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type_name = expected_type.__name__ if isinstance(expected_type, type) else " or ".join(t.__name__ for t in expected_type)
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raise ValueError(f"{variable_path} is not an instance of {type_name}, got {type(variable).__name__}")
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return variable
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def resolve_class[T](class_path: str, base_class: type[T] | None = None) -> type[T]:
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"""Resolve a class from a module path and class name.
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Args:
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class_path: The path to the class (e.g. "langchain_openai:ChatOpenAI").
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base_class: The base class to check if the resolved class is a subclass of.
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Returns:
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The resolved class.
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Raises:
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ImportError: If the module path is invalid or the attribute doesn't exist.
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ValueError: If the resolved object is not a class or not a subclass of base_class.
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"""
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model_class = resolve_variable(class_path, expected_type=type)
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if not isinstance(model_class, type):
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raise ValueError(f"{class_path} is not a valid class")
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if base_class is not None and not issubclass(model_class, base_class):
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raise ValueError(f"{class_path} is not a subclass of {base_class.__name__}")
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return model_class
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