LLMThought#
- class langchain_community.callbacks.streamlit.streamlit_callback_handler.LLMThought(parent_container: DeltaGenerator, labeler: LLMThoughtLabeler, expanded: bool, collapse_on_complete: bool)[source]#
A thought in the LLM’s thought stream.
Initialize the LLMThought.
- Parameters:
parent_container (DeltaGenerator) – The container we’re writing into.
labeler (LLMThoughtLabeler) – The labeler to use for this thought.
expanded (bool) – Whether the thought should be expanded by default.
collapse_on_complete (bool) – Whether the thought should be collapsed.
Attributes
container
The container we're writing into.
last_tool
The last tool executed by this thought
Methods
__init__
(parent_container, labeler, ...)Initialize the LLMThought.
clear
()Remove the thought from the screen.
complete
([final_label])Finish the thought.
on_agent_action
(action[, color])on_llm_end
(response, **kwargs)on_llm_error
(error, **kwargs)on_llm_new_token
(token, **kwargs)on_llm_start
(serialized, prompts)on_tool_end
(output[, color, ...])on_tool_error
(error, **kwargs)on_tool_start
(serialized, input_str, **kwargs)- __init__(parent_container: DeltaGenerator, labeler: LLMThoughtLabeler, expanded: bool, collapse_on_complete: bool)[source]#
Initialize the LLMThought.
- Parameters:
parent_container (DeltaGenerator) – The container we’re writing into.
labeler (LLMThoughtLabeler) – The labeler to use for this thought.
expanded (bool) – Whether the thought should be expanded by default.
collapse_on_complete (bool) – Whether the thought should be collapsed.
- clear() None [source]#
Remove the thought from the screen. A cleared thought can’t be reused.
- Return type:
None
- complete(final_label: str | None = None) None [source]#
Finish the thought.
- Parameters:
final_label (str | None) –
- Return type:
None
- on_agent_action(action: AgentAction, color: str | None = None, **kwargs: Any) Any [source]#
- Parameters:
action (AgentAction) –
color (str | None) –
kwargs (Any) –
- Return type:
Any
- on_llm_end(response: LLMResult, **kwargs: Any) None [source]#
- Parameters:
response (LLMResult) –
kwargs (Any) –
- Return type:
None
- on_llm_error(error: BaseException, **kwargs: Any) None [source]#
- Parameters:
error (BaseException) –
kwargs (Any) –
- Return type:
None
- on_llm_new_token(token: str, **kwargs: Any) None [source]#
- Parameters:
token (str) –
kwargs (Any) –
- Return type:
None
- on_llm_start(serialized: Dict[str, Any], prompts: List[str]) None [source]#
- Parameters:
serialized (Dict[str, Any]) –
prompts (List[str]) –
- Return type:
None
- on_tool_end(output: Any, color: str | None = None, observation_prefix: str | None = None, llm_prefix: str | None = None, **kwargs: Any) None [source]#
- Parameters:
output (Any) –
color (str | None) –
observation_prefix (str | None) –
llm_prefix (str | None) –
kwargs (Any) –
- Return type:
None