_get_ls_params() — langchain Function Reference

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

Function python DataProcessing VectorStores

Entity Profile

DataProcessing→ VectorStores→ _get_ls_params() — langchain Function Reference

Dependency Diagram

graph TD
  2584187a_e510_1dea_61d9_096b853efd71["_get_ls_params()"]
  0ab16606_6f12_fe39_c02a_5f20541c161f["VectorStoreRetriever"]
  2584187a_e510_1dea_61d9_096b853efd71 -->|defined in| 0ab16606_6f12_fe39_c02a_5f20541c161f
  style 2584187a_e510_1dea_61d9_096b853efd71 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/vectorstores/base.py lines 1018–1037

    def _get_ls_params(self, **kwargs: Any) -> LangSmithRetrieverParams:
        """Get standard params for tracing."""
        kwargs_ = self.search_kwargs | kwargs

        ls_params = super()._get_ls_params(**kwargs_)

        ls_params["ls_vector_store_provider"] = self.vectorstore.__class__.__name__

        if self.vectorstore.embeddings:
            ls_params["ls_embedding_provider"] = (
                self.vectorstore.embeddings.__class__.__name__
            )
        elif hasattr(self.vectorstore, "embedding") and isinstance(
            self.vectorstore.embedding, Embeddings
        ):
            ls_params["ls_embedding_provider"] = (
                self.vectorstore.embedding.__class__.__name__
            )

        return ls_params