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	Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
		
			
				
	
	
		
			31 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			31 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| """Integration tests for the StreamlitCallbackHandler module."""
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| 
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| import pytest
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| 
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| # Import the internal StreamlitCallbackHandler from its module - and not from
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| # the `langchain_community.callbacks.streamlit` package - so that we don't end up using
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| # Streamlit's externally-provided callback handler.
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| from langchain_community.callbacks.streamlit.streamlit_callback_handler import (
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|     StreamlitCallbackHandler,
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| )
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| from langchain_community.llms import OpenAI
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| 
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| 
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| @pytest.mark.requires("streamlit")
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| def test_streamlit_callback_agent() -> None:
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|     import streamlit as st
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|     from langchain.agents import AgentType, initialize_agent, load_tools
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| 
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|     streamlit_callback = StreamlitCallbackHandler(st.container())
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| 
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|     llm = OpenAI(temperature=0)
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|     tools = load_tools(["serpapi", "llm-math"], llm=llm)
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|     agent = initialize_agent(
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|         tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
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|     )
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|     agent.run(
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|         "Who is Olivia Wilde's boyfriend? "
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|         "What is his current age raised to the 0.23 power?",
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|         callbacks=[streamlit_callback],
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|     )
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