FlyteCallbackHandler#

class langchain_community.callbacks.flyte_callback.FlyteCallbackHandler[source]#

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_custom_event`	Ignore custom event.
`ignore_llm`	Whether to ignore LLM callbacks.
`ignore_retriever`	Whether to ignore retriever callbacks.
`ignore_retry`	Whether to ignore retry callbacks.
`raise_error`	Whether to raise an error if an exception occurs.
`run_inline`	Whether to run the callback 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_custom_event`(name, data, *, run_id[, ...])	Override to define a handler for a custom event.
`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 the 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.

Return type:: None

get_custom_callback_meta() → Dict[str, Any]#

Return type:: Dict[str, Any]

on_agent_action(action: AgentAction, **kwargs: Any) → Any[source]#

Run on agent action.

Parameters:

action (AgentAction)
kwargs (Any)

Return type:

Any

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

Run when agent ends running.

Parameters:

finish (AgentFinish)
kwargs (Any)

Return type:

None

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

Run when chain ends running.

Parameters:

outputs (Dict[str, Any])
kwargs (Any)

Return type:

None

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

Run when chain errors.

Parameters:

error (BaseException)
kwargs (Any)

Return type:

None

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

Run when chain starts running.

Parameters:

serialized (Dict[str, Any])
inputs (Dict[str, Any])
kwargs (Any)

Return type:

None

on_chat_model_start(serialized: dict[str, Any], messages: list[list[BaseMessage]], *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, metadata: dict[str, Any] | None = None, **kwargs: Any) → Any#

Run when a chat model starts running.

ATTENTION: This method is called for chat models. If you’re implementing: a handler for a non-chat model, you should use on_llm_start instead.

Parameters:

serialized (Dict[str, Any]) – The serialized chat model.
messages (List[List[BaseMessage]]) – The messages.
run_id (UUID) – The run ID. This is the ID of the current run.
parent_run_id (UUID) – The parent run ID. This is the ID of the parent run.
tags (Optional[List[str]]) – The tags.
metadata (Optional[Dict[str, Any]]) – The metadata.
kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_custom_event(name: str, data: Any, *, run_id: UUID, tags: list[str] | None = None, metadata: dict[str, Any] | None = None, **kwargs: Any) → Any#

Override to define a handler for a custom event.

Parameters:

name (str) – The name of the custom event.
data (Any) – The data for the custom event. Format will match the format specified by the user.
run_id (UUID) – The ID of the run.
tags (list[str] | None) – The tags associated with the custom event (includes inherited tags).
metadata (dict[str, Any] | None) – The metadata associated with the custom event (includes inherited metadata).
kwargs (Any)

Return type:

Any

Added in version 0.2.15.

on_llm_end(response: LLMResult, **kwargs: Any) → None[source]#

Run when LLM ends running.

Parameters:

response (LLMResult)
kwargs (Any)

Return type:

None

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

Run when LLM errors.

Parameters:

error (BaseException)
kwargs (Any)

Return type:

None

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

Run when LLM generates a new token.

Parameters:

token (str)
kwargs (Any)

Return type:

None

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

Run when LLM starts.

Parameters:

serialized (Dict[str, Any])
prompts (List[str])
kwargs (Any)

Return type:

None

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

Run when Retriever ends running.

Parameters:

documents (Sequence[Document]) – The documents retrieved.
run_id (UUID) – The run ID. This is the ID of the current run.
parent_run_id (UUID) – The parent run ID. This is the ID of the parent run.
kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_retriever_error(error: BaseException, *, run_id: UUID, parent_run_id: UUID | None = None, **kwargs: Any) → Any#

Run when Retriever errors.

Parameters:

error (BaseException) – The error that occurred.
run_id (UUID) – The run ID. This is the ID of the current run.
parent_run_id (UUID) – The parent run ID. This is the ID of the parent run.
kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_retriever_start(serialized: dict[str, Any], query: str, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, metadata: dict[str, Any] | None = None, **kwargs: Any) → Any#

Run when the Retriever starts running.

Parameters:

serialized (Dict[str, Any]) – The serialized Retriever.
query (str) – The query.
run_id (UUID) – The run ID. This is the ID of the current run.
parent_run_id (UUID) – The parent run ID. This is the ID of the parent run.
tags (Optional[List[str]]) – The tags.
metadata (Optional[Dict[str, Any]]) – The metadata.
kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_retry(retry_state: RetryCallState, *, run_id: UUID, parent_run_id: UUID | None = None, **kwargs: Any) → Any#

Run on a retry event.

Parameters:

retry_state (RetryCallState) – The retry state.
run_id (UUID) – The run ID. This is the ID of the current run.
parent_run_id (UUID) – The parent run ID. This is the ID of the parent run.
kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_text(text: str, **kwargs: Any) → None[source]#

Run when agent is ending.

Parameters:

text (str)
kwargs (Any)

Return type:

None

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

Run when tool ends running.

Parameters:

output (str)
kwargs (Any)

Return type:

None

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

Run when tool errors.

Parameters:

error (BaseException)
kwargs (Any)

Return type:

None

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

Run when tool starts running.

Parameters:

serialized (Dict[str, Any])
input_str (str)
kwargs (Any)

Return type:

None

reset_callback_meta() → None#

Reset the callback metadata.

Return type:: None

Examples using FlyteCallbackHandler

Flyte