langchain_community.callbacks.sagemaker_callback.SageMakerCallbackHandler

class langchain_community.callbacks.sagemaker_callback.SageMakerCallbackHandler(run: Any)

Callback Handler that logs prompt artifacts and metrics to SageMaker Experiments.

Parameters

run (sagemaker.experiments.run.Run) – Run object where the experiment is logged.

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__(run)	Initialize callback handler.
flush_tracker()	Reset the steps and delete the temporary local directory.
jsonf(data, data_dir, filename[, is_output])	To log the input data as json file artifact.
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.

__init__(run: Any) → None

Initialize callback handler.

Parameters

run (Any) –

Return type

None

flush_tracker() → None

Reset the steps and delete the temporary local directory.

Return type

None

jsonf(data: Dict[str, Any], data_dir: str, filename: str, is_output: Optional[bool] = True) → None

To log the input data as json file artifact.

Parameters

• data (Dict[str, Any]) –

• data_dir (str) –

• filename (str) –

• is_output (Optional[bool]) –

Return type

None

on_agent_action(action: AgentAction, **kwargs: Any) → Any

Run on agent action.

Parameters

• action (AgentAction) –

• kwargs (Any) –

Return type

Any

on_agent_finish(finish: AgentFinish, **kwargs: Any) → None

Run when agent ends running.

Parameters

• finish (AgentFinish) –

• kwargs (Any) –

Return type

None

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

Run when chain ends running.

Parameters

• outputs (Dict[str, Any]) –

• kwargs (Any) –

Return type

None

on_chain_error(error: BaseException, **kwargs: Any) → None

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

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: Optional[UUID] = None, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = 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]) –

• messages (List[List[BaseMessage]]) –

• run_id (UUID) –

• parent_run_id (Optional[UUID]) –

• tags (Optional[List[str]]) –

• metadata (Optional[Dict[str, Any]]) –

• kwargs (Any) –

Return type

Any

on_llm_end(response: LLMResult, **kwargs: Any) → None

Run when LLM ends running.

Parameters

• response (LLMResult) –

• kwargs (Any) –

Return type

None

on_llm_error(error: BaseException, **kwargs: Any) → None

Run when LLM errors.

Parameters

• error (BaseException) –

• kwargs (Any) –

Return type

None

on_llm_new_token(token: str, **kwargs: Any) → None

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

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: Optional[UUID] = None, **kwargs: Any) → Any

Run when Retriever ends running.

Parameters

• documents (Sequence[Document]) –

• run_id (UUID) –

• parent_run_id (Optional[UUID]) –

• kwargs (Any) –

Return type

Any

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

Run when Retriever errors.

Parameters

• error (BaseException) –

• run_id (UUID) –

• parent_run_id (Optional[UUID]) –

• kwargs (Any) –

Return type

Any

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.

Parameters

• serialized (Dict[str, Any]) –

• query (str) –

• run_id (UUID) –

• parent_run_id (Optional[UUID]) –

• tags (Optional[List[str]]) –

• metadata (Optional[Dict[str, Any]]) –

• kwargs (Any) –

Return type

Any

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

Run on a retry event.

Parameters

• retry_state (RetryCallState) –

• run_id (UUID) –

• parent_run_id (Optional[UUID]) –

• kwargs (Any) –

Return type

Any

on_text(text: str, **kwargs: Any) → None

Run when agent is ending.

Parameters

• text (str) –

• kwargs (Any) –

Return type

None

on_tool_end(output: Any, **kwargs: Any) → None

Run when tool ends running.

Parameters

• output (Any) –

• kwargs (Any) –

Return type

None

on_tool_error(error: BaseException, **kwargs: Any) → None

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

Run when tool starts running.

Parameters

• serialized (Dict[str, Any]) –

• input_str (str) –

• kwargs (Any) –

Return type

None

Examples using SageMakerCallbackHandler

• AWS

• LLM Hyperparameters