langchain.callbacks.tracers.langchain.LangChainTracer¶
class langchain.callbacks.tracers.langchain.LangChainTracer(example_id: Optional[Union[str, UUID]] = None, project_name: Optional[str] = None, client: Optional[Client] = None, tags: Optional[List[str]] = None, use_threading: bool = True, **kwargs: Any)[source]¶
An implementation of the SharedTracer that POSTS to the langchain endpoint.
Initialize the LangChain tracer.
Attributes
ignore_agent
Whether to ignore agent callbacks.
ignore_chain
Whether to ignore chain callbacks.
ignore_chat_model
Whether to ignore chat model callbacks.
ignore_llm
Whether to ignore LLM callbacks.
ignore_retriever
Whether to ignore retriever callbacks.
ignore_retry
Whether to ignore retry callbacks.
raise_error
run_inline
Methods
__init__([example_id, project_name, client, ...])
Initialize the LangChain tracer.
on_agent_action(action, *, run_id[, ...])
Run on agent action.
on_agent_finish(finish, *, run_id[, ...])
Run on agent end.
on_chain_end(outputs, *, run_id[, inputs])
End a trace for a chain run.
on_chain_error(error, *[, inputs])
Handle an error for a chain run.
on_chain_start(serialized, inputs, *, run_id)
Start a trace for a chain run.
on_chat_model_start(serialized, messages, *, ...)
Start a trace for an LLM run.
on_llm_end(response, *, run_id, **kwargs)
End a trace for an LLM run.
on_llm_error(error, *, run_id, **kwargs)
Handle an error for an LLM run.