jzddlmZddlmZmZddlmZddlmZddl m Z ddl m Z ddl mZddlmZmZmZdd lmZdd lmZdd lmZdd lmZmZdd lmZddlmZm Z m!Z!m"Z"ddl#m$Z$ddl%m&Z&ededGddeZ'y))Sequence)AnyOptional) deprecated) AgentAction)BaseCallbackManager)BaseLanguageModel)BasePromptTemplate)ChatPromptTemplateHumanMessagePromptTemplateSystemMessagePromptTemplate)BaseTool)Field)AGENT_DEPRECATION_WARNING)AgentAgentOutputParserChatOutputParser)FORMAT_INSTRUCTIONS HUMAN_MESSAGESYSTEM_MESSAGE_PREFIXSYSTEM_MESSAGE_SUFFIX)validate_tools_single_input)LLMChainz0.1.0z1.0)messageremovalceZdZUdZeeZeed< e de fdZ e de fdZ de eee fde ffd Zed edefd Zed eedd ffd Ze de e fdZeeeeed fd eede de de de dee e defdZed d eeeed fded eedee deede de de de dee e d ede!fdZ"e de fdZ#xZ$S) ChatAgentz Chat Agent.)default_factory output_parserreturncy)z&Prefix to append the observation with.z Observation: selfs d/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain/agents/chat/base.pyobservation_prefixzChatAgent.observation_prefix)scy)z#Prefix to append the llm call with.zThought:r#r$s r& llm_prefixzChatAgent.llm_prefix.sr(intermediate_stepscnt||}t|ts d}t ||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_scratchpadmsg __class__s r&r.zChatAgent._construct_scratchpad3sQ!789KL*C0>CS/ ! 11A0BD   r(kwargsc tSNr)clsr5s r&_get_default_output_parserz$ChatAgent._get_default_output_parserCs !!r(toolsNcRt||t|j|y)N) class_namer:)r-_validate_toolsr__name__)r8r:r4s r&r=zChatAgent._validate_toolsGs &#s||5Ir(cdgS)Nz Observation:r#r$s r&_stopzChatAgent._stopLs r(system_message_prefixsystem_message_suffix human_messageformat_instructionsinput_variablescdj|Dcgc]}|jd|jc}}dj|Dcgc]}|jc}} |j| }|d|d|d|} t j | t j |g} |ddg}t|| Scc}wcc}w) 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.  z: z, ) tool_namesz inputr2)rEmessages)joinname descriptionformatr from_templater r ) r8r:rArBrCrDrEtool tool_stringsrHtemplaterJs r& create_promptzChatAgent.create_promptPs6yyQV!WQVTYYKr$2B2B1C"DQV!WX YYeCllmcallback_managerc  |j||j|||||| } t|| |} |D cgc]} | j}} |xs|j }|d| ||d| Scc} w)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. )rArBrCrDrE)rTpromptrU) llm_chain allowed_toolsr r#)r=rSrrLr9)r8rTr:rUr rArBrCrDrEr5rWrXrPrH_output_parsers r&from_llm_and_toolszChatAgent.from_llm_and_toolswsD E""" "7"7' 3+ # - -22EDdiiE 2&J#*H*H*J $(    3sA0ctr7)r1r$s r& _agent_typezChatAgent._agent_typesr()%r> __module__ __qualname____doc__rrr r__annotations__propertyr0r'r*listtuplerr. classmethodrr9rrr=r@rrrrrr rSr rrr[r] __classcell__)r4s@r&rrs1 ',=M'NM$N& CC  {C'7!89   "#":K""JHX$6J4JJ tCy  &;%:*#6/3$V!$V #$V # $V  $V ! $V"$s),$V $V$VL ;?59%:%:*#6/36 6 !6 ##67 6  12 6 # 6  #6 6 !6 "$s),6 6  6 6 pSr(rN)(collections.abcrtypingrrlangchain_core._apirlangchain_core.agentsrlangchain_core.callbacksrlangchain_core.language_modelsr langchain_core.promptsr langchain_core.prompts.chatr r r langchain_core.toolsrpydanticrlangchain._api.deprecationrlangchain.agents.agentrr#langchain.agents.chat.output_parserrlangchain.agents.chat.promptrrrrlangchain.agents.utilsrlangchain.chains.llmrrr#r(r&rwss$ *-8<5 *@;@ ?)  %  OO  Or(