RunCollectorCallbackHandler#

class langchain_core.tracers.run_collector.RunCollectorCallbackHandler(example_id: UUID | str | None = None, **kwargs: Any)[source]#

Tracer that collects all nested runs in a list.

This tracer is useful for inspection and evaluation purposes.

Parameters:
  • name (str, default="run-collector_callback_handler")

  • example_id (Optional[Union[UUID, str]], default=None) – The ID of the example being traced. It can be either a UUID or a string.

  • kwargs (Any)

Initialize the RunCollectorCallbackHandler.

Parameters:
  • example_id (Optional[Union[UUID, str]], default=None) – The ID of the example being traced. It can be either a UUID or a string.

  • **kwargs (Any) – Additional keyword arguments

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_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.

log_missing_parent

name

raise_error

Whether to raise an error if an exception occurs.

run_inline

Whether to run the callback inline.

Methods

__init__([example_id])

Initialize the RunCollectorCallbackHandler.

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[, inputs])

End a trace for a chain run.

on_chain_error(error, *[, inputs])

Handle an error for a chain run.

on_chain_start(serialized, inputs, *, run_id)

Start a trace for a chain run.

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

Start a trace for an LLM run.

on_custom_event(name, data, *, run_id[, ...])

Override to define a handler for a custom event.

on_llm_end(response, *, run_id, **kwargs)

End a trace for an LLM run.

on_llm_error(error, *, run_id, **kwargs)

Handle an error for an LLM run.

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

Run on new LLM token.

on_llm_start(serialized, prompts, *, run_id)

Start a trace for an LLM run.

on_retriever_end(documents, *, run_id, **kwargs)

Run when the Retriever ends running.

on_retriever_error(error, *, run_id, **kwargs)

Run when Retriever errors.

on_retriever_start(serialized, query, *, run_id)

Run when the Retriever starts running.

on_retry(retry_state, *, run_id, **kwargs)

Run on retry.

on_text(text, *, run_id[, parent_run_id])

Run on an arbitrary text.

on_tool_end(output, *, run_id, **kwargs)

End a trace for a tool run.

on_tool_error(error, *, run_id, **kwargs)

Handle an error for a tool run.

on_tool_start(serialized, input_str, *, run_id)

Start a trace for a tool run.

__init__(example_id: UUID | str | None = None, **kwargs: Any) None[source]#

Initialize the RunCollectorCallbackHandler.

Parameters:
  • example_id (Optional[Union[UUID, str]], default=None) – The ID of the example being traced. It can be either a UUID or a string.

  • **kwargs (Any) – Additional keyword arguments

Return type:

None

on_agent_action(action: AgentAction, *, run_id: UUID, parent_run_id: UUID | None = None, **kwargs: Any) Any#

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.

  • kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_agent_finish(finish: AgentFinish, *, run_id: UUID, parent_run_id: UUID | None = None, **kwargs: Any) Any#

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.

  • kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_chain_end(outputs: dict[str, Any], *, run_id: UUID, inputs: dict[str, Any] | None = None, **kwargs: Any) RunTree#

End a trace for a chain run.

Parameters:
  • outputs (dict[str, Any]) – The outputs for the chain.

  • run_id (UUID) – The run ID.

  • inputs (dict[str, Any] | None) – The inputs for the chain. Defaults to None.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_chain_error(error: BaseException, *, inputs: dict[str, Any] | None = None, run_id: UUID, **kwargs: Any) RunTree#

Handle an error for a chain run.

Parameters:
  • error (BaseException) – The error.

  • inputs (dict[str, Any] | None) – The inputs for the chain. Defaults to None.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_chain_start(serialized: dict[str, Any], inputs: dict[str, Any], *, run_id: UUID, tags: list[str] | None = None, parent_run_id: UUID | None = None, metadata: dict[str, Any] | None = None, run_type: str | None = None, name: str | None = None, **kwargs: Any) RunTree#

Start a trace for a chain run.

Parameters:
  • serialized (dict[str, Any]) – The serialized chain.

  • inputs (dict[str, Any]) – The inputs for the chain.

  • run_id (UUID) – The run ID.

  • tags (list[str] | None) – The tags for the run. Defaults to None.

  • parent_run_id (UUID | None) – The parent run ID. Defaults to None.

  • metadata (dict[str, Any] | None) – The metadata for the run. Defaults to None.

  • run_type (str | None) – The type of the run. Defaults to None.

  • name (str | None) – The name of the run.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

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

Start a trace for an LLM run.

Parameters:
  • serialized (dict[str, Any]) – The serialized model.

  • messages (list[list[BaseMessage]]) – The messages to start the chat with.

  • run_id (UUID) – The run ID.

  • tags (list[str] | None) – The tags for the run. Defaults to None.

  • parent_run_id (UUID | None) – The parent run ID. Defaults to None.

  • metadata (dict[str, Any] | None) – The metadata for the run. Defaults to None.

  • name (str | None) – The name of the run.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

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, *, run_id: UUID, **kwargs: Any) RunTree#

End a trace for an LLM run.

Parameters:
  • response (LLMResult) – The response.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_llm_error(error: BaseException, *, run_id: UUID, **kwargs: Any) RunTree#

Handle an error for an LLM run.

Parameters:
  • error (BaseException) – The error.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_llm_new_token(token: str, *, chunk: GenerationChunk | ChatGenerationChunk | None = None, run_id: UUID, parent_run_id: UUID | None = None, **kwargs: Any) RunTree#

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

Parameters:
  • token (str) – The token.

  • chunk (GenerationChunk | ChatGenerationChunk | None) – The chunk. Defaults to None.

  • run_id (UUID) – The run ID.

  • parent_run_id (UUID | None) – The parent run ID. Defaults to None.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_llm_start(serialized: dict[str, Any], prompts: list[str], *, run_id: UUID, tags: list[str] | None = None, parent_run_id: UUID | None = None, metadata: dict[str, Any] | None = None, name: str | None = None, **kwargs: Any) RunTree#

Start a trace for an LLM run.

Parameters:
  • serialized (dict[str, Any]) – The serialized model.

  • prompts (list[str]) – The prompts to start the LLM with.

  • run_id (UUID) – The run ID.

  • tags (list[str] | None) – The tags for the run. Defaults to None.

  • parent_run_id (UUID | None) – The parent run ID. Defaults to None.

  • metadata (dict[str, Any] | None) – The metadata for the run. Defaults to None.

  • name (str | None) – The name of the run.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_retriever_end(documents: Sequence[Document], *, run_id: UUID, **kwargs: Any) Run#

Run when the Retriever ends running.

Parameters:
  • documents (Sequence[Document]) – The documents.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

Run

on_retriever_error(error: BaseException, *, run_id: UUID, **kwargs: Any) RunTree#

Run when Retriever errors.

Parameters:
  • error (BaseException) – The error.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

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, name: str | None = None, **kwargs: Any) RunTree#

Run when the Retriever starts running.

Parameters:
  • serialized (dict[str, Any]) – The serialized retriever.

  • query (str) – The query.

  • run_id (UUID) – The run ID.

  • parent_run_id (UUID | None) – The parent run ID. Defaults to None.

  • tags (list[str] | None) – The tags for the run. Defaults to None.

  • metadata (dict[str, Any] | None) – The metadata for the run. Defaults to None.

  • name (str | None) – The name of the run.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_retry(retry_state: RetryCallState, *, run_id: UUID, **kwargs: Any) RunTree#

Run on retry.

Parameters:
  • retry_state (RetryCallState) – The retry state.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_text(text: str, *, run_id: UUID, parent_run_id: UUID | None = None, **kwargs: Any) Any#

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.

  • kwargs (Any) – Additional keyword arguments.

Return type:

Any

on_tool_end(output: Any, *, run_id: UUID, **kwargs: Any) RunTree#

End a trace for a tool run.

Parameters:
  • output (Any) – The output for the tool.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_tool_error(error: BaseException, *, run_id: UUID, **kwargs: Any) RunTree#

Handle an error for a tool run.

Parameters:
  • error (BaseException) – The error.

  • run_id (UUID) – The run ID.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree

on_tool_start(serialized: dict[str, Any], input_str: str, *, run_id: UUID, tags: list[str] | None = None, parent_run_id: UUID | None = None, metadata: dict[str, Any] | None = None, name: str | None = None, inputs: dict[str, Any] | None = None, **kwargs: Any) RunTree#

Start a trace for a tool run.

Parameters:
  • serialized (dict[str, Any]) – The serialized tool.

  • input_str (str) – The input string.

  • run_id (UUID) – The run ID.

  • tags (list[str] | None) – The tags for the run. Defaults to None.

  • parent_run_id (UUID | None) – The parent run ID. Defaults to None.

  • metadata (dict[str, Any] | None) – The metadata for the run. Defaults to None.

  • name (str | None) – The name of the run.

  • inputs (dict[str, Any] | None) – The inputs for the tool.

  • kwargs (Any) – Additional arguments.

Returns:

The run.

Return type:

RunTree