o Jjgm@sddlmZmZmZmZmZddlmZddlm Z ddl m Z ddl m Z ddlmZddlmZmZmZddlmZdd lmZdd lmZmZdd lmZdd lmZmZm Z m!Z!dd l"m#Z#ddl$m%Z%eddddGdddeZ&dS))AnyListOptionalSequenceTuple) deprecated) AgentAction)BaseCallbackManager)BaseLanguageModel)BasePromptTemplate)ChatPromptTemplateHumanMessagePromptTemplateSystemMessagePromptTemplate)BaseTool)Field)AgentAgentOutputParserChatOutputParser)FORMAT_INSTRUCTIONS HUMAN_MESSAGESYSTEM_MESSAGE_PREFIXSYSTEM_MESSAGE_SUFFIX)validate_tools_single_input)LLMChainz0.1.0create_react_agentz1.0) alternativeremovalcsleZdZUdZeedZeed< e de fddZ e de fddZ d e eee fde ffd d Zed edefd dZedeeddffdd Ze de e fddZeeeeedfdeede de de de dee e defddZeddeeeedfdedeedee deede de de de dee e d ede!fddZ"e de fd d!Z#Z$S)" ChatAgentz Chat Agent.)default_factory output_parserreturncCdS)z&Prefix to append the observation with.z Observation: selfr#r#R/var/www/html/zoom/venv/lib/python3.10/site-packages/langchain/agents/chat/base.pyobservation_prefix#zChatAgent.observation_prefixcCr")z#Prefix to append the llm call with.zThought:r#r$r#r#r& llm_prefix(r(zChatAgent.llm_prefixintermediate_stepscs0t|}t|tstd|rd|S|S)Nz*agent_scratchpad should be of type string.zhThis was your previous work (but I haven't seen any of it! I only see what you return as final answer): )super_construct_scratchpad isinstancestr ValueError)r%r*agent_scratchpad __class__r#r&r,-s  zChatAgent._construct_scratchpadkwargscKstSNr)clsr3r#r#r&_get_default_output_parser<z$ChatAgent._get_default_output_parsertoolsNcst|t|j|ddS)N) class_namer8)r+_validate_toolsr__name__)r5r8r1r#r&r:@s zChatAgent._validate_toolscCsdgS)Nz Observation:r#r$r#r#r&_stopEr7zChatAgent._stopsystem_message_prefixsystem_message_suffix human_messageformat_instructionsinput_variablesc Csvddd|D}ddd|D}|j|d}d||||g} t| t|g} |dur5d d g}t|| d S) agCreate a prompt from a list of tools. Args: tools: A list of tools. system_message_prefix: The system message prefix. Default is SYSTEM_MESSAGE_PREFIX. system_message_suffix: The system message suffix. Default is SYSTEM_MESSAGE_SUFFIX. human_message: The human message. Default is HUMAN_MESSAGE. format_instructions: The format instructions. Default is FORMAT_INSTRUCTIONS. input_variables: The input variables. Default is None. Returns: A prompt template.  cSsg|] }|jd|jqS)z: )name description.0toolr#r#r& dsz+ChatAgent.create_prompt..z, cSg|]}|jqSr#rCrEr#r#r&rHe) tool_namesz Ninputr0)rAmessages)joinformatr from_templater r ) r5r8r=r>r?r@rA tool_stringsrLtemplaterNr#r#r& create_promptIs    zChatAgent.create_promptllmcallback_managerc Ks^|||j|||||| d} t|| |d} dd|D} |p#|}|d| | |d| S)a=Construct an agent from an LLM and tools. Args: llm: The language model. tools: A list of tools. callback_manager: The callback manager. Default is None. output_parser: The output parser. Default is None. system_message_prefix: The system message prefix. Default is SYSTEM_MESSAGE_PREFIX. system_message_suffix: The system message suffix. Default is SYSTEM_MESSAGE_SUFFIX. human_message: The human message. Default is HUMAN_MESSAGE. format_instructions: The format instructions. Default is FORMAT_INSTRUCTIONS. input_variables: The input variables. Default is None. kwargs: Additional keyword arguments. Returns: An agent. )r=r>r?r@rA)rUpromptrVcSrIr#rJrEr#r#r&rHrKz0ChatAgent.from_llm_and_tools..) llm_chain allowed_toolsr Nr#)r:rTrr6)r5rUr8rVr r=r>r?r@rAr3rWrXrL_output_parserr#r#r&from_llm_and_toolsws. " zChatAgent.from_llm_and_toolscCstr4)r/r$r#r#r& _agent_typeszChatAgent._agent_type)%r; __module__ __qualname____doc__rrr r__annotations__propertyr.r'r)rrrr, classmethodrr6rrr:r<rrrrrr rTr r rr[r\ __classcell__r#r#r1r&rs   -    8rN)'typingrrrrrlangchain_core._apirlangchain_core.agentsrlangchain_core.callbacksr langchain_core.language_modelsr langchain_core.promptsr langchain_core.prompts.chatr r rlangchain_core.toolsrpydanticrlangchain.agents.agentrr#langchain.agents.chat.output_parserrlangchain.agents.chat.promptrrrrlangchain.agents.utilsrlangchain.chains.llmrrr#r#r#r&s