a agO @slddlmZddlmZmZddlmZerDddlmZddl m Z ddddd d d d d d ddddZ dS)) annotations) TYPE_CHECKINGOptional)BaseCallbackHandler)LLMThoughtLabeler)DeltaGeneratorTNmax_thought_containersexpand_new_thoughtscollapse_completed_thoughtsthought_labelerrintboolzOptional[LLMThoughtLabeler]r)parent_containerr r r r returnc Csvz ddlm}||||||dWStypzddlm}WntyXtdYn0||||||dYS0dS)abCallback Handler that writes to a Streamlit app. This CallbackHandler is geared towards use with a LangChain Agent; it displays the Agent's LLM and tool-usage "thoughts" inside a series of Streamlit expanders. Parameters ---------- parent_container The `st.container` that will contain all the Streamlit elements that the Handler creates. max_thought_containers The max number of completed LLM thought containers to show at once. When this threshold is reached, a new thought will cause the oldest thoughts to be collapsed into a "History" expander. Defaults to 4. expand_new_thoughts Each LLM "thought" gets its own `st.expander`. This param controls whether that expander is expanded by default. Defaults to True. collapse_completed_thoughts If True, LLM thought expanders will be collapsed when completed. Defaults to True. thought_labeler An optional custom LLMThoughtLabeler instance. If unspecified, the handler will use the default thought labeling logic. Defaults to None. Returns ------- A new StreamlitCallbackHandler instance. Note that this is an "auto-updating" API: if the installed version of Streamlit has a more recent StreamlitCallbackHandler implementation, an instance of that class will be used. r)StreamlitCallbackHandlerr zoTo use the StreamlitCallbackHandler, please install langchain-community with `pip install langchain-community`.N)Zstreamlit.external.langchainr ImportErrorZBlangchain_community.callbacks.streamlit.streamlit_callback_handler)rr r r r rZ!_InternalStreamlitCallbackHandlerrt/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/langchain/callbacks/streamlit/__init__.pyr s.-    r) __future__rtypingrrZlangchain_core.callbacks.baserZlangchain_community.callbacksrZstreamlit.delta_generatorrrrrrrs