langchain.callbacks.flyte_callback.FlyteCallbackHandler¶

class langchain.callbacks.flyte_callback.FlyteCallbackHandler[source]¶

This callback handler that is used within a Flyte task.

Initialize callback handler.

Attributes

always_verbose

Whether to call verbose callbacks even if verbose is False.

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__()

Initialize callback handler.

get_custom_callback_meta()

on_agent_action(action, **kwargs)

Run on agent action.

on_agent_finish(finish, **kwargs)

Run when agent ends running.

on_chain_end(outputs, **kwargs)

Run when chain ends running.

on_chain_error(error, **kwargs)

Run when chain errors.

on_chain_start(serialized, inputs, **kwargs)

Run when chain starts running.

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

Run when a chat model starts running.

on_llm_end(response, **kwargs)

Run when LLM ends running.

on_llm_error(error, **kwargs)

Run when LLM errors.

on_llm_new_token(token, **kwargs)

Run when LLM generates a new token.

on_llm_start(serialized, prompts, **kwargs)

Run when LLM starts.

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, **kwargs)

Run when agent is ending.

on_tool_end(output, **kwargs)

Run when tool ends running.

on_tool_error(error, **kwargs)

Run when tool errors.

on_tool_start(serialized, input_str, **kwargs)

Run when tool starts running.

reset_callback_meta()

Reset the callback metadata.

__init__() None[source]¶

Initialize callback handler.

get_custom_callback_meta() Dict[str, Any]¶
on_agent_action(action: AgentAction, **kwargs: Any) Any[source]¶

Run on agent action.

on_agent_finish(finish: AgentFinish, **kwargs: Any) None[source]¶

Run when agent ends running.

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

Run when chain ends running.

on_chain_error(error: BaseException, **kwargs: Any) None[source]¶

Run when chain errors.

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

Run when chain starts running.

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, **kwargs: Any) None[source]¶

Run when LLM ends running.

on_llm_error(error: BaseException, **kwargs: Any) None[source]¶

Run when LLM errors.

on_llm_new_token(token: str, **kwargs: Any) None[source]¶

Run when LLM generates a new token.

on_llm_start(serialized: Dict[str, Any], prompts: List[str], **kwargs: Any) None[source]¶

Run when LLM starts.

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, **kwargs: Any) None[source]¶

Run when agent is ending.

on_tool_end(output: str, **kwargs: Any) None[source]¶

Run when tool ends running.

on_tool_error(error: BaseException, **kwargs: Any) None[source]¶

Run when tool errors.

on_tool_start(serialized: Dict[str, Any], input_str: str, **kwargs: Any) None[source]¶

Run when tool starts running.

reset_callback_meta() None¶

Reset the callback metadata.

Examples using FlyteCallbackHandler¶