get_input_schema() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase calls 1 called by 1

Entity Profile

LangChainCore→ LanguageModelBase→ get_input_schema() — langchain Function Reference

Dependency Diagram

graph TD
  7c319e04_955b_2f3f_b566_46230f8f7256["get_input_schema()"]
  18e85ff8_9a5d_f800_f722_027398dc89e7["BaseTool"]
  7c319e04_955b_2f3f_b566_46230f8f7256 -->|defined in| 18e85ff8_9a5d_f800_f722_027398dc89e7
  b3e89d48_15bc_a2b9_9f3c_980febdf8096["tool_call_schema()"]
  b3e89d48_15bc_a2b9_9f3c_980febdf8096 -->|calls| 7c319e04_955b_2f3f_b566_46230f8f7256
  c0d52d58_8a26_451c_3602_695fe2854328["create_schema_from_function()"]
  7c319e04_955b_2f3f_b566_46230f8f7256 -->|calls| c0d52d58_8a26_451c_3602_695fe2854328
  style 7c319e04_955b_2f3f_b566_46230f8f7256 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/tools/base.py lines 619–632

    def get_input_schema(self, config: RunnableConfig | None = None) -> type[BaseModel]:
        """The tool's input schema.

        Args:
            config: The configuration for the tool.

        Returns:
            The input schema for the tool.
        """
        if self.args_schema is not None:
            if isinstance(self.args_schema, dict):
                return super().get_input_schema(config)
            return self.args_schema
        return create_schema_from_function(self.name, self._run)