KKiSrSSKJr SSKJr SSKJrJrJr SSK J r J r SSK J r SSKJr SSKJr SS KJr \"S S S S 9"SS\55rg)z6Chain that carries on a conversation and calls an LLM.) deprecated)BasePromptTemplate) ConfigDictFieldmodel_validator)Selfoverride) BaseMemory)PROMPT)LLMChain)ConversationBufferMemoryz0.2.7z;langchain_core.runnables.history.RunnableWithMessageHistoryz1.0)since alternativeremovalc\rSrSr%Sr\"\S9r\\ S'\ r \ \ S'Sr \\ S'Sr\\ S '\"S S S 9r\\S \4Sj55r\S \\4Sj5r\"SS9S \4Sj5rSrg)ConversationChaina Chain to have a conversation and load context from memory. This class is deprecated in favor of `RunnableWithMessageHistory`. Please refer to this tutorial for more detail: https://python.langchain.com/docs/tutorials/chatbot/ `RunnableWithMessageHistory` offers several benefits, including: - Stream, batch, and async support; - More flexible memory handling, including the ability to manage memory outside the chain; - Support for multiple threads. Below is a minimal implementation, analogous to using `ConversationChain` with the default `ConversationBufferMemory`: ```python from langchain_core.chat_history import InMemoryChatMessageHistory from langchain_core.runnables.history import RunnableWithMessageHistory from langchain_openai import ChatOpenAI store = {} # memory is maintained outside the chain def get_session_history(session_id: str) -> InMemoryChatMessageHistory: if session_id not in store: store[session_id] = InMemoryChatMessageHistory() return store[session_id] model = ChatOpenAI(model="gpt-3.5-turbo-0125") chain = RunnableWithMessageHistory(model, get_session_history) chain.invoke( "Hi I'm Bob.", config={"configurable": {"session_id": "1"}}, ) # session_id determines thread ``` Memory objects can also be incorporated into the `get_session_history` callable: ```python from langchain_classic.memory import ConversationBufferWindowMemory from langchain_core.chat_history import InMemoryChatMessageHistory from langchain_core.runnables.history import RunnableWithMessageHistory from langchain_openai import ChatOpenAI store = {} # memory is maintained outside the chain def get_session_history(session_id: str) -> InMemoryChatMessageHistory: if session_id not in store: store[session_id] = InMemoryChatMessageHistory() return store[session_id] memory = ConversationBufferWindowMemory( chat_memory=store[session_id], k=3, return_messages=True, ) assert len(memory.memory_variables) == 1 key = memory.memory_variables[0] messages = memory.load_memory_variables({})[key] store[session_id] = InMemoryChatMessageHistory(messages=messages) return store[session_id] model = ChatOpenAI(model="gpt-3.5-turbo-0125") chain = RunnableWithMessageHistory(model, get_session_history) chain.invoke( "Hi I'm Bob.", config={"configurable": {"session_id": "1"}}, ) # session_id determines thread ``` Example: ```python from langchain_classic.chains import ConversationChain from langchain_openai import OpenAI conversation = ConversationChain(llm=OpenAI()) ``` )default_factorymemorypromptinput input_keyresponse output_keyTforbid)arbitrary_types_allowedextrareturncg)NF)clss l/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/langchain_classic/chains/conversation/base.pyis_lc_serializable$ConversationChain.is_lc_serializablewscUR/$)z5Use this since so some prompt vars come from history.)r)selfs r" input_keysConversationChain.input_keys|sr%after)modecURRnURnX!;aSUSUS3n[U5eURR n/UQUPn[ U5[ U5:waSUSUSUS3n[U5eU$)z4Validate that prompt input variables are consistent.zThe input key z$ was also found in the memory keys (z+) - please provide keys that don't overlap.z:Got unexpected prompt input variables. The prompt expects z , but got z as inputs from memory, and z as the normal input key.)rmemory_variablesr ValueErrorrinput_variablesset)r' memory_keysrmsgprompt_variables expected_keyss r"validate_prompt_input_variables1ConversationChain.validate_prompt_input_variablesskk22 NN  #  ,= KM S/ !;;661+1y1 } %5!6 6L#$J{m<(k)BD  S/ ! r%r N)__name__ __module__ __qualname____firstlineno____doc__rr rr __annotations__r rrrstrrr model_config classmethodr boolr#propertylistr(rrr5__static_attributes__r r%r"rrs Tl/GHFJH!'F '-Is J  $L  4 DI  '"#r%rN)r;langchain_core._apirlangchain_core.promptsrpydanticrrrtyping_extensionsrr langchain_classic.base_memoryr ,langchain_classic.chains.conversation.promptr langchain_classic.chains.llmr langchain_classic.memory.bufferr rr r%r"rLsO<*577,4?1D M  BB  Br%