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_on_llm_end() — langchain Function Reference

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

Function python Observability Tracers calls 2

Entity Profile

Dependency Diagram

graph TD
  0a3df31a_88bd_f701_6d60_8d6d287acc08["_on_llm_end()"]
  178590bb_85ff_b79e_979a_46e5c3c5389f["LangChainTracer"]
  0a3df31a_88bd_f701_6d60_8d6d287acc08 -->|defined in| 178590bb_85ff_b79e_979a_46e5c3c5389f
  bce3427a_d6ea_f317_a362_d28206fa1696["_update_run_single()"]
  0a3df31a_88bd_f701_6d60_8d6d287acc08 -->|calls| bce3427a_d6ea_f317_a362_d28206fa1696
  706241bd_703f_99a6_9c98_870ee029e748["_get_usage_metadata_from_generations()"]
  0a3df31a_88bd_f701_6d60_8d6d287acc08 -->|calls| 706241bd_703f_99a6_9c98_870ee029e748
  style 0a3df31a_88bd_f701_6d60_8d6d287acc08 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/tracers/langchain.py lines 302–313

    def _on_llm_end(self, run: Run) -> None:
        """Process the LLM Run."""
        # Extract usage_metadata from outputs and store in extra.metadata
        if run.outputs and "generations" in run.outputs:
            usage_metadata = _get_usage_metadata_from_generations(
                run.outputs["generations"]
            )
            if usage_metadata is not None:
                if "metadata" not in run.extra:
                    run.extra["metadata"] = {}
                run.extra["metadata"]["usage_metadata"] = usage_metadata
        self._update_run_single(run)

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does _on_llm_end() do?
_on_llm_end() is a function in the langchain codebase, defined in libs/core/langchain_core/tracers/langchain.py.
Where is _on_llm_end() defined?
_on_llm_end() is defined in libs/core/langchain_core/tracers/langchain.py at line 302.
What does _on_llm_end() call?
_on_llm_end() calls 2 function(s): _get_usage_metadata_from_generations, _update_run_single.

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