EvalConfig Class — langchain Architecture
Architecture documentation for the EvalConfig class in config.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 3f727cf4_38d7_5e57_1492_800220e6e9f9["EvalConfig"] ba7f9415_541a_d99f_0400_a688a10212b0["config.py"] 3f727cf4_38d7_5e57_1492_800220e6e9f9 -->|defined in| ba7f9415_541a_d99f_0400_a688a10212b0 ef7b8c79_e357_4337_5014_d738a3a5e281["get_kwargs()"] 3f727cf4_38d7_5e57_1492_800220e6e9f9 -->|method| ef7b8c79_e357_4337_5014_d738a3a5e281
Relationship Graph
Source Code
libs/langchain/langchain_classic/smith/evaluation/config.py lines 34–54
class EvalConfig(BaseModel):
"""Configuration for a given run evaluator.
Attributes:
evaluator_type: The type of evaluator to use.
"""
evaluator_type: EvaluatorType
def get_kwargs(self) -> dict[str, Any]:
"""Get the keyword arguments for the `load_evaluator` call.
Returns:
The keyword arguments for the `load_evaluator` call.
"""
kwargs = {}
for field, val in self:
if field == "evaluator_type" or val is None:
continue
kwargs[field] = val
return kwargs
Source
Frequently Asked Questions
What is the EvalConfig class?
EvalConfig is a class in the langchain codebase, defined in libs/langchain/langchain_classic/smith/evaluation/config.py.
Where is EvalConfig defined?
EvalConfig is defined in libs/langchain/langchain_classic/smith/evaluation/config.py at line 34.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free