@hSrSSKJr SSKJr SSKJrJr SSKJ r SSK J r SSK J r SSKJr SS KJr SS KJr SS KJr SS KJrJr SS KJr SSKJr SSKJrJrJ r SSK!J"r" SSK#J$r$ \ "S\SS9"SS\55r%g)zDAn agent designed to hold a conversation in addition to using tools.) annotations)Sequence)AnyOptional) deprecated)BaseCallbackManager)BaseLanguageModel)PromptTemplate)BaseTool)Field)AGENT_DEPRECATION_WARNING)AgentAgentOutputParser) AgentTypeConvoOutputParser)FORMAT_INSTRUCTIONSPREFIXSUFFIX)validate_tools_single_input)LLMChainz0.1.0z1.0)messageremovalc \^\rSrSr%SrSrS\S'\"\S9r S\S'\ SSS jj5r \ SS j5r \ SS j5r\ SS j5r\ \\\SS S4SSjj5r\ SU4Sjj5r\ SS\\\SS S4SSjj5rSrU=r$)ConversationalAgentz>An agent that holds a conversation in addition to using tools.AIstr ai_prefix)default_factoryr output_parserc [US9$)Nrr)clsrkwargss \/var/www/html/shao/venv/lib/python3.13/site-packages/langchain/agents/conversational/base.py_get_default_output_parser.ConversationalAgent._get_default_output_parser%s !955c"[R$)z Return Identifier of agent type.)r CONVERSATIONAL_REACT_DESCRIPTIONselfs r& _agent_typeConversationalAgent._agent_type-s999r)cg)zEPrefix to append the observation with. Returns: "Observation: " z Observation: r,s r&observation_prefix&ConversationalAgent.observation_prefix2sr)cg)z>Prefix to append the llm call with. Returns: "Thought: " zThought:r1r,s r& llm_prefixConversationalAgent.llm_prefix;sr)HumanNc <SRUVs/sHnSURSUR3PM! sn5n SRUVs/sHoRPM sn5n URU UUS9nUSU SUSU3n Uc/SQn[ XS9$s snfs snf) aCreate prompt in the style of the zero-shot agent. Args: tools: List of tools the agent will have access to, used to format the prompt. prefix: String to put before the list of tools. Defaults to PREFIX. suffix: String to put after the list of tools. Defaults to SUFFIX. format_instructions: Instructions on how to use the tools. Defaults to FORMAT_INSTRUCTIONS ai_prefix: String to use before AI output. Defaults to "AI". human_prefix: String to use before human output. Defaults to "Human". input_variables: List of input variables the final prompt will expect. Defaults to ["input", "chat_history", "agent_scratchpad"]. Returns: A PromptTemplate with the template assembled from the pieces here.  z> z: z, ) tool_namesr human_prefixz )input chat_historyagent_scratchpad)templateinput_variables)joinname descriptionformatr ) r$toolsprefixsuffixformat_instructionsrr;r@tool tool_stringsr:r?s r& create_prompt!ConversationalAgent.create_promptDs:yy>C Dedr$))Bt//0 1e D YYe[TU]U5 [URU5 g)N)super_validate_toolsr__name__)r$rE __class__s r&rO#ConversationalAgent._validate_toolsos &#CLL%8r)c URU5 URUUU UUUU S9n [UU US9n UVs/sHoRPM nnU=(d UR US9nU"SU UUUS.U D6$s snf)aConstruct an agent from an LLM and tools. Args: llm: The language model to use. tools: A list of tools to use. callback_manager: The callback manager to use. Default is None. output_parser: The output parser to use. Default is None. prefix: The prefix to use in the prompt. Default is PREFIX. suffix: The suffix to use in the prompt. Default is SUFFIX. format_instructions: The format instructions to use. Default is FORMAT_INSTRUCTIONS. ai_prefix: The prefix to use before AI output. Default is "AI". human_prefix: The prefix to use before human output. Default is "Human". input_variables: The input variables to use. Default is None. **kwargs: Any additional keyword arguments to pass to the agent. Returns: An agent. )rr;rFrGrHr@)llmpromptcallback_managerr#) llm_chain allowed_toolsrr!r1)rOrKrrBr')r$rTrErVr!rFrGrHrr;r@r%rUrWrIr:_output_parsers r&from_llm_and_tools&ConversationalAgent.from_llm_and_toolstsF E""" % 3+# - -22EDiiE 2& #*H*H+I+  $(     3sA1r1)r)rrr%rreturnr)r\r)rESequence[BaseTool]rFrrGrrHrrrr;rr@Optional[list[str]]r\r )rEr]r\None)rTr rEr]rVzOptional[BaseCallbackManager]r!zOptional[AgentOutputParser]rFrrGrrHrrrr;rr@r^r%rr\r)rP __module__ __qualname____firstlineno____doc__r__annotations__r rr! classmethodr'propertyr.r2r5rrrrKrOrZ__static_attributes__ __classcell__)rQs@r&rrs IIs)',=N'OM$O&666  66::#6#/3(R!(R(R (R ! (R  (R(R-(R (R(RT99 ;?59#6#/3; ; "; 8 ; 3 ;  ; ; !; ; ; -; ;  ; ; r)rN)&rc __future__rcollections.abcrtypingrrlangchain_core._apirlangchain_core.callbacksrlangchain_core.language_modelsr langchain_core.promptsr langchain_core.toolsr pydanticr langchain._api.deprecationr langchain.agents.agentrrlangchain.agents.agent_typesr-langchain.agents.conversational.output_parserr&langchain.agents.conversational.promptrrrlangchain.agents.utilsrlangchain.chainsrrr1r)r&rysgJ"$ *8<1)@;2KVV>%  %  S %S  S r)