_prepare_input() — langchain Function Reference
Architecture documentation for the _prepare_input() function in eval_chain.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD ae00f73a_3274_a24c_aed1_e45be85f0fdd["_prepare_input()"] 6997d03c_6524_f97b_7017_b2f56540bc07["PairwiseStringEvalChain"] ae00f73a_3274_a24c_aed1_e45be85f0fdd -->|defined in| 6997d03c_6524_f97b_7017_b2f56540bc07 69c11dee_1bd0_daca_16bd_24a2df0fec66["_evaluate_string_pairs()"] 69c11dee_1bd0_daca_16bd_24a2df0fec66 -->|calls| ae00f73a_3274_a24c_aed1_e45be85f0fdd a98e0fa5_2b25_b62a_6940_98a36013ab00["_aevaluate_string_pairs()"] a98e0fa5_2b25_b62a_6940_98a36013ab00 -->|calls| ae00f73a_3274_a24c_aed1_e45be85f0fdd style ae00f73a_3274_a24c_aed1_e45be85f0fdd fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain/langchain_classic/evaluation/comparison/eval_chain.py lines 283–309
def _prepare_input(
self,
prediction: str,
prediction_b: str,
input_: str | None,
reference: str | None,
) -> dict:
"""Prepare the input for the chain.
Args:
prediction: The output string from the first model.
prediction_b: The output string from the second model.
input_: The input or task string.
reference: The reference string, if any.
Returns:
The prepared input for the chain.
"""
input_dict = {
"prediction": prediction,
"prediction_b": prediction_b,
"input": input_,
}
if self.requires_reference:
input_dict["reference"] = reference
return input_dict
Domain
Subdomains
Source
Frequently Asked Questions
What does _prepare_input() do?
_prepare_input() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/evaluation/comparison/eval_chain.py.
Where is _prepare_input() defined?
_prepare_input() is defined in libs/langchain/langchain_classic/evaluation/comparison/eval_chain.py at line 283.
What calls _prepare_input()?
_prepare_input() is called by 2 function(s): _aevaluate_string_pairs, _evaluate_string_pairs.
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