langchain_core.callbacks.stdout.StdOutCallbackHandler

class langchain_core.callbacks.stdout.StdOutCallbackHandler(color: Optional[str] = None)[source]

Callback Handler that prints to std out.

Initialize callback handler.

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__([color])

Initialize callback handler.

on_agent_action(action[, color])

Run on agent action.

on_agent_finish(finish[, color])

Run on agent end.

on_chain_end(outputs, **kwargs)

Print out that we finished a chain.

on_chain_error(error, *, run_id[, parent_run_id])

Run when chain errors.

on_chain_start(serialized, inputs, **kwargs)

Print out that we are entering a chain.

on_chat_model_start(serialized, messages, *, ...)

Run when a chat model starts running.

on_llm_end(response, *, run_id[, parent_run_id])

Run when LLM ends running.

on_llm_error(error, *, run_id[, parent_run_id])

Run when LLM errors. :param error: The error that occurred. :type error: BaseException :param kwargs: Additional keyword arguments. - response (LLMResult): The response which was generated before the error occurred. :type kwargs: Any.

on_llm_new_token(token, *[, chunk, ...])

Run on new LLM token.

on_llm_start(serialized, prompts, *, run_id)

Run when LLM starts running.

on_retriever_end(documents, *, run_id[, ...])

Run when Retriever ends running.

on_retriever_error(error, *, run_id[, ...])

Run when Retriever errors.

on_retriever_start(serialized, query, *, run_id)

Run when Retriever starts running.

on_retry(retry_state, *, run_id[, parent_run_id])

Run on a retry event.

on_text(text[, color, end])

Run when agent ends.

on_tool_end(output[, color, ...])

If not the final action, print out observation.

on_tool_error(error, *, run_id[, parent_run_id])

Run when tool errors.

on_tool_start(serialized, input_str, *, run_id)

Run when tool starts running.
__init__(color: Optional[str] = None) → None[source]

Initialize callback handler.

on_agent_action(action: AgentAction, color: Optional[str] = None, **kwargs: Any) → Any[source]

Run on agent action.

on_agent_finish(finish: AgentFinish, color: Optional[str] = None, **kwargs: Any) → None[source]

Run on agent end.

on_chain_end(outputs: Dict[str, Any], **kwargs: Any) → None[source]

Print out that we finished a chain.

on_chain_error(error: BaseException, *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run when chain errors.

on_chain_start(serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any) → None[source]

Print out that we are entering a chain.

on_chat_model_start(serialized: Dict[str, Any], messages: List[List[BaseMessage]], *, run_id: UUID, parent_run_id: Optional[UUID] = None, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs: Any) → Any

Run when a chat model starts running.

on_llm_end(response: LLMResult, *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run when LLM ends running.

on_llm_error(error: BaseException, *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run when LLM errors. :param error: The error that occurred. :type error: BaseException :param kwargs: Additional keyword arguments.

  • response (LLMResult): The response which was generated before

    the error occurred.

on_llm_new_token(token: str, *, chunk: Optional[Union[GenerationChunk, ChatGenerationChunk]] = None, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run on new LLM token. Only available when streaming is enabled.

Parameters
on_llm_start(serialized: Dict[str, Any], prompts: List[str], *, run_id: UUID, parent_run_id: Optional[UUID] = None, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs: Any) → Any

Run when LLM starts running.

on_retriever_end(documents: Sequence[Document], *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run when Retriever ends running.

on_retriever_error(error: BaseException, *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run when Retriever errors.

on_retriever_start(serialized: Dict[str, Any], query: str, *, run_id: UUID, parent_run_id: Optional[UUID] = None, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs: Any) → Any

Run when Retriever starts running.

on_retry(retry_state: RetryCallState, *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run on a retry event.

on_text(text: str, color: Optional[str] = None, end: str = '', **kwargs: Any) → None[source]

Run when agent ends.

on_tool_end(output: str, color: Optional[str] = None, observation_prefix: Optional[str] = None, llm_prefix: Optional[str] = None, **kwargs: Any) → None[source]

If not the final action, print out observation.

on_tool_error(error: BaseException, *, run_id: UUID, parent_run_id: Optional[UUID] = None, **kwargs: Any) → Any

Run when tool errors.

on_tool_start(serialized: Dict[str, Any], input_str: str, *, run_id: UUID, parent_run_id: Optional[UUID] = None, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, inputs: Optional[Dict[str, Any]] = None, **kwargs: Any) → Any

Run when tool starts running.

Examples using StdOutCallbackHandler