input_keys() — langchain Function Reference

Architecture documentation for the input_keys() function in base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1 called by 1

Entity Profile

LangChainCore→ LanguageModelBase→ input_keys() — langchain Function Reference

Dependency Diagram

graph TD
  b2d77581_9b1a_5afb_5480_df373f3f59f5["input_keys()"]
  a279fd93_b575_438d_176b_7abfe52f575d["PairwiseEmbeddingDistanceEvalChain"]
  b2d77581_9b1a_5afb_5480_df373f3f59f5 -->|defined in| a279fd93_b575_438d_176b_7abfe52f575d
  4adc8139_7fdb_abc9_b48a_cc91d5bfa336["input_keys()"]
  4adc8139_7fdb_abc9_b48a_cc91d5bfa336 -->|calls| b2d77581_9b1a_5afb_5480_df373f3f59f5
  4adc8139_7fdb_abc9_b48a_cc91d5bfa336["input_keys()"]
  b2d77581_9b1a_5afb_5480_df373f3f59f5 -->|calls| 4adc8139_7fdb_abc9_b48a_cc91d5bfa336
  style b2d77581_9b1a_5afb_5480_df373f3f59f5 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/evaluation/embedding_distance/base.py lines 520–526

    def input_keys(self) -> list[str]:
        """Return the input keys of the chain.

        Returns:
            The input keys.
        """
        return ["prediction", "prediction_b"]