on_tool_end() — langchain Function Reference

Architecture documentation for the on_tool_end() function in stdout.py from the langchain codebase.

Function python Observability TelemetryUtilities

Entity Profile

Observability→ TelemetryUtilities→ on_tool_end() — langchain Function Reference

Dependency Diagram

graph TD
  9b871232_001e_2f5e_a2c6_e390b77ed440["on_tool_end()"]
  dcf2a9b2_8ab4_fbe0_5f57_ef548417d10e["StdOutCallbackHandler"]
  9b871232_001e_2f5e_a2c6_e390b77ed440 -->|defined in| dcf2a9b2_8ab4_fbe0_5f57_ef548417d10e
  style 9b871232_001e_2f5e_a2c6_e390b77ed440 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/callbacks/stdout.py lines 70–92

    def on_tool_end(
        self,
        output: Any,
        color: str | None = None,
        observation_prefix: str | None = None,
        llm_prefix: str | None = None,
        **kwargs: Any,
    ) -> None:
        """If not the final action, print out observation.

        Args:
            output: The output to print.
            color: The color to use for the text.
            observation_prefix: The observation prefix.
            llm_prefix: The LLM prefix.
            **kwargs: Additional keyword arguments.
        """
        output = str(output)
        if observation_prefix is not None:
            print_text(f"\n{observation_prefix}")
        print_text(output, color=color or self.color)
        if llm_prefix is not None:
            print_text(f"\n{llm_prefix}")