AsyncFinalIteratorCallbackHandler#
- class langchain.callbacks.streaming_aiter_final_only.AsyncFinalIteratorCallbackHandler(*, answer_prefix_tokens: List[str] | None = None, strip_tokens: bool = True, stream_prefix: bool = False)[source]#
Callback handler that returns an async iterator. Only the final output of the agent will be iterated.
Instantiate AsyncFinalIteratorCallbackHandler.
- Parameters:
answer_prefix_tokens (Optional[List[str]]) – Token sequence that prefixes the answer. Default is [“Final”, “Answer”, “:”]
strip_tokens (bool) – Ignore white spaces and new lines when comparing answer_prefix_tokens to last tokens? (to determine if answer has been reached)
stream_prefix (bool) – Should answer prefix itself also be streamed?
Attributes
always_verbose
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.
queue
A multi-producer, multi-consumer queue.
Methods
__init__
(*[, answer_prefix_tokens, ...])Instantiate AsyncFinalIteratorCallbackHandler.
aiter
()append_to_last_tokens
(token)on_agent_action
(action, *, run_id[, ...])Run on agent action.
on_agent_finish
(finish, *, run_id[, ...])Run on the agent end.
on_chain_end
(outputs, *, run_id[, ...])Run when a chain ends running.
on_chain_error
(error, *, run_id[, ...])Run when chain errors.
on_chain_start
(serialized, inputs, *, run_id)Run when a 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 on new LLM token.
on_llm_start
(serialized, prompts, **kwargs)Run when LLM starts running.
on_retriever_end
(documents, *, run_id[, ...])Run on the retriever end.
on_retriever_error
(error, *, run_id[, ...])Run on retriever error.
on_retriever_start
(serialized, query, *, run_id)Run on the retriever start.
on_retry
(retry_state, *, run_id[, parent_run_id])Run on a retry event.
on_text
(text, *, run_id[, parent_run_id, tags])Run on an arbitrary text.
on_tool_end
(output, *, run_id[, ...])Run when the tool ends running.
on_tool_error
(error, *, run_id[, ...])Run when tool errors.
on_tool_start
(serialized, input_str, *, run_id)Run when the tool starts running.
- __init__(*, answer_prefix_tokens: List[str] | None = None, strip_tokens: bool = True, stream_prefix: bool = False) None [source]#
Instantiate AsyncFinalIteratorCallbackHandler.
- Parameters:
answer_prefix_tokens (List[str] | None) – Token sequence that prefixes the answer. Default is [“Final”, “Answer”, “:”]
strip_tokens (bool) – Ignore white spaces and new lines when comparing answer_prefix_tokens to last tokens? (to determine if answer has been reached)
stream_prefix (bool) – Should answer prefix itself also be streamed?
- Return type:
None
- async aiter() AsyncIterator[str] #
- Return type:
AsyncIterator[str]
- async on_agent_action(action: AgentAction, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run on agent action.
- Parameters:
action (AgentAction) – The agent action.
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.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_agent_finish(finish: AgentFinish, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run on the agent end.
- Parameters:
finish (AgentFinish) – The agent finish.
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.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_chain_end(outputs: dict[str, Any], *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run when a chain ends running.
- Parameters:
outputs (Dict[str, Any]) – The outputs of the chain.
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.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_chain_error(error: BaseException, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run when chain 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.
tags (Optional[List[str]]) – The tags.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_chain_start(serialized: dict[str, Any], inputs: dict[str, Any], *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, metadata: dict[str, Any] | None = None, **kwargs: Any) None #
Run when a chain starts running.
- Parameters:
serialized (Dict[str, Any]) – The serialized chain.
inputs (Dict[str, Any]) – The inputs.
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:
None
- async 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
- async on_custom_event(name: str, data: Any, *, run_id: UUID, tags: list[str] | None = None, metadata: dict[str, Any] | None = None, **kwargs: Any) None #
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:
None
Added in version 0.2.15.
- async on_llm_end(response: LLMResult, **kwargs: Any) None [source]#
Run when LLM ends running.
- Parameters:
response (LLMResult) – The response which was generated.
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.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_llm_error(error: BaseException, **kwargs: Any) None #
Run when LLM errors.
- Parameters:
error (BaseException) – The error that occurred.
run_id – The run ID. This is the ID of the current run.
parent_run_id – The parent run ID. This is the ID of the parent run.
tags – The tags.
kwargs (Any) –
Additional keyword arguments. - response (LLMResult): The response which was generated before
the error occurred.
- Return type:
None
- async on_llm_new_token(token: str, **kwargs: Any) None [source]#
Run on new LLM token. Only available when streaming is enabled.
- Parameters:
token (str) – The new token.
chunk (GenerationChunk | ChatGenerationChunk) – The new generated chunk, containing content and other information.
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.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_llm_start(serialized: Dict[str, Any], prompts: List[str], **kwargs: Any) None [source]#
Run when LLM starts running.
- ATTENTION: This method is called for non-chat models (regular LLMs). If
you’re implementing a handler for a chat model, you should use on_chat_model_start instead.
- Parameters:
serialized (Dict[str, Any]) – The serialized LLM.
prompts (List[str]) – The prompts.
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:
None
- async on_retriever_end(documents: Sequence[Document], *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run on the retriever end.
- 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.
tags (Optional[List[str]]) – The tags.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_retriever_error(error: BaseException, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run on retriever error.
- 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.
tags (Optional[List[str]]) – The tags.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async 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) None #
Run on the retriever start.
- 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:
None
- async 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
- async on_text(text: str, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run on an arbitrary text.
- Parameters:
text (str) – The text.
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.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_tool_end(output: Any, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run when the tool ends running.
- Parameters:
output (Any) – The output of the tool.
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.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_tool_error(error: BaseException, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, **kwargs: Any) None #
Run when tool 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.
tags (Optional[List[str]]) – The tags.
kwargs (Any) – Additional keyword arguments.
- Return type:
None
- async on_tool_start(serialized: dict[str, Any], input_str: str, *, run_id: UUID, parent_run_id: UUID | None = None, tags: list[str] | None = None, metadata: dict[str, Any] | None = None, inputs: dict[str, Any] | None = None, **kwargs: Any) None #
Run when the tool starts running.
- Parameters:
serialized (Dict[str, Any]) – The serialized tool.
input_str (str) – The input string.
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.
inputs (Optional[Dict[str, Any]]) – The inputs.
kwargs (Any) – Additional keyword arguments.
- Return type:
None