KKi:SrSSKJr SSKrSSKrSSKrSSKrSSKrSSKrSSK J r SSK J r J r JrJr SSKJr SSKJrJr SSKrSSKJr SS KJrJrJr SS KJrJrJrJ r J!r!J"r" SS K#J$r$ SS K%J&r& SS K'J(r( SSK)J*r* SSK+J,r, SSK-J.r. SSK/J0r0 SSK1J2r2J3r3J4r4 SSK5J6r6 SSK7J8r8 SSK9J:r: SSK;Jr> SSK?J@r@JArA SSKBJCrC SSKDJErE SSKFJGrG SSKHJIrI SSKJJKrK SSKLJMrM SSKNJOrO \R"\Q5rR"SS \<5rS"S!S"\<5rT"S#S$\*\\-5rU"S%S&\*\V\\-5rW"S'S(\S5rX"S)S*\T5rY\"S+\CS,S-9"S.S/\S55rZ\"S+\CS,S-9"S0S1\S55r["S2S3\85r\\V\\-\-r]\X\Y-r^"S4S5\K5r_g)6zEChain that takes in an input and produces an action and action input.) annotationsN)abstractmethod) AsyncIteratorCallableIteratorSequence)Path)Anycast) deprecated) AgentAction AgentFinish AgentStep)AsyncCallbackManagerForChainRunAsyncCallbackManagerForToolRunBaseCallbackManagerCallbackManagerForChainRunCallbackManagerForToolRun Callbacks)OutputParserException)BaseLanguageModel) BaseMessage)BaseOutputParser)BasePromptTemplate)FewShotPromptTemplate)PromptTemplate)RunnableRunnableConfig ensure_config) AddableDict)BaseTool)get_color_mapping) BaseModel ConfigDictmodel_validator)Selfoverride)AGENT_DEPRECATION_WARNING)AgentExecutorIterator) AgentType) InvalidTool)Chain)LLMChain)asyncio_timeoutc4^\rSrSrSr\SSj5rSSjr\SSSjj5r \SSSjj5r \\SSj55r SSjr \ SSS jj5r\SS j5r\SU4S jj5rSS jrSS jrSrU=r$)BaseSingleActionAgent7zBase Single Action Agent class.cS/$Return values of the agent.outputselfs `/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/langchain_classic/agents/agent.py return_values#BaseSingleActionAgent.return_values: zcg)Get allowed tools.Nr6r7s r9get_allowed_tools'BaseSingleActionAgent.get_allowed_tools?sr=c g)Given input, decided what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with observations. callbacks: Callbacks to run. **kwargs: User inputs. Returns: Action specifying what tool to use. Nr6r8intermediate_steps callbackskwargss r9planBaseSingleActionAgent.planCr=c # g7f)Async given input, decided what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with observations. callbacks: Callbacks to run. **kwargs: User inputs. Returns: Action specifying what tool to use. Nr6rDs r9aplanBaseSingleActionAgent.aplanVcgReturn the input keys.Nr6r7s r9 input_keys BaseSingleActionAgent.input_keysirJr=c LUS:Xa[SS0S5$SUS3n[U5e)JReturn response when agent has been stopped due to max iterations. Args: early_stopping_method: Method to use for early stopping. intermediate_steps: Steps the LLM has taken to date, along with observations. Returns: Agent finish object. Raises: ValueError: If `early_stopping_method` is not supported. forcer53Agent stopped due to iteration limit or time limit.'Got unsupported early_stopping_method ``r ValueErrorr8early_stopping_methodrE_msgs r9return_stopped_response-BaseSingleActionAgent.return_stopped_responsensA& !G +PQ 88M7NaPor=c [e)zConstruct an agent from an LLM and tools. Args: llm: Language model to use. tools: Tools to use. callback_manager: Callback manager to use. kwargs: Additional arguments. Returns: Agent object. NotImplementedError)clsllmtoolscallback_managerrGs r9from_llm_and_tools(BaseSingleActionAgent.from_llm_and_toolss &"!r=c[ez#Return Identifier of an agent type.rfr7s r9 _agent_type!BaseSingleActionAgent._agent_type "!r=c >[TU]5nURn[ U[ 5(a[ UR5US'U$UbX2S'U$![a SnNFf=f)z]Return dictionary representation of agent. Returns: Dictionary representation of agent. N_type)super model_dumprprg isinstancer*strvalue)r8rG_dictrt __class__s r9dictBaseSingleActionAgent.dictst"$ $$E eY ' ' -E'N  "'N # E s A A$#A$cP[U[5(a [U5OUnURnUR SSS9 UR 5nSU;aSUS3n[ U5eURS:Xa0URS5n[R"XFSS 9 S S S 5 g URRS 5(a0URS5n[R"XFS S 9 S S S 5 g US3n[U5e!,(df  g =f!,(df  g =f)zSave the agent. Args: file_path: Path to file to save the agent to. Example: ```python # If working with agent executor agent.agent.save(file_path="path/agent.yaml") ``` Tparentsexist_okrtAgent z does not support saving.jsonwindentNz.yamlz.ymlFdefault_flow_style must be json or yaml)rwrxr parentmkdirr|rgsuffixopenjsondumpendswithyamlr^)r8 file_path save_pathdirectory_path agent_dictrbfs r9saveBaseSingleActionAgent.saves(2)S'A'ADOy "))TD9YY[ * $4& 89C%c* *   w &$ *2%$    & &'8 9 9$ *EB%$K45CS/ !%$%$DD D D%c0$#Return logging kwargs for tool run.r6r7s r9tool_run_logging_kwargs-BaseSingleActionAgent.tool_run_logging_kwargs r=r6return list[str]rlist[str] | NoneNrElist[tuple[AgentAction, str]]rFrrGr rAgentAction | AgentFinishr`rxrErrar rr) rirrjSequence[BaseTool]rkBaseCallbackManager | NonerGr rr0rrxrGr r builtins.dictrz Path | strrNonerr)__name__ __module__ __qualname____firstlineno____doc__propertyr:r@rrHrMrTrc classmethodrlrpr'r|rr__static_attributes__ __classcell__r{s@r9r0r07sc)  $ 9    #   $ $ 9    #   $%%":   8 8< " """5 "  "  ""(""" "Dr=r0c^\rSrSrSr\SSj5rSSjr\SSSjj5r \SSSjj5r \\SSj55r SSjr \SS j5r \SU4S jj5rSS jrSS jrS rU=r$)BaseMultiActionAgentzBase Multi Action Agent class.cS/$r3r6r7s r9r:"BaseMultiActionAgent.return_valuesr<r=cg)z0Get allowed tools. Returns: Allowed tools. Nr6r7s r9r@&BaseMultiActionAgent.get_allowed_toolss r=c g)zGiven input, decided what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with the observations. callbacks: Callbacks to run. **kwargs: User inputs. Returns: Actions specifying what tool to use. Nr6rDs r9rHBaseMultiActionAgent.planrJr=c # g7f)zAsync given input, decided what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with the observations. callbacks: Callbacks to run. **kwargs: User inputs. Returns: Actions specifying what tool to use. Nr6rDs r9rMBaseMultiActionAgent.aplanrOrPcgrRr6r7s r9rTBaseMultiActionAgent.input_keysrJr=c LUS:Xa[SS0S5$SUS3n[U5e)rWrXr5z$Agent stopped due to max iterations.rZr[r\r]r_s r9rc,BaseMultiActionAgent.return_stopped_responses:& !G +*PQSUV V78M7NaPor=c[erorfr7s r9rp BaseMultiActionAgent._agent_type1rrr=c >[TU]5n[R"[5 [ UR 5US'SSS5 U$!,(df  U$=f)*Return dictionary representation of agent.rtN)rurv contextlibsuppressrgrxrpr8rGrzr{s r9r|BaseMultiActionAgent.dict6sM"$  !4 5 !1!12E'N6 6 5 s A  AcP[U[5(a [U5OUnUR5nSU;aSUS3n[ U5eUR nUR SSS9 URS:Xa0URS5n[R"X6SS 9 S S S 5 g URRS 5(a0URS5n[R"X6S S 9 S S S 5 g US3n[U5e!,(df  g =f!,(df  g =f)a(Save the agent. Args: file_path: Path to file to save the agent to. Raises: NotImplementedError: If agent does not support saving. ValueError: If `file_path` is not json or yaml. Example: ```python # If working with agent executor agent.agent.save(file_path="path/agent.yaml") ``` rtrz does not support saving.TrrrrrNrFrr)rwrxr r|rgrrrrrrrrr^)r8rrrrbrrs r9rBaseMultiActionAgent.save>s"(2)S'A'ADOy YY[ * $4& 9:C%c* *"))TD9   w &$ *2%$    & &'8 9 9$ *EB%$K45CS/ !%$%$rc0$rr6r7s r9r,BaseMultiActionAgent.tool_run_logging_kwargsdrr=r6rrrrErrFrrGr rlist[AgentAction] | AgentFinishrrrrr)rrrrrrr:r@rrHrMrTrcrpr'r|rrrrrs@r9rrs(  $ 9    )   $ $ 9    )   $%%":   2""$"Lr=rc,\rSrSrSr\SSj5rSrg)AgentOutputParseriiz=Base class for parsing agent output into agent action/finish.cg)z$Parse text into agent action/finish.Nr6r8texts r9parseAgentOutputParser.parselrJr=r6N)rrxrrrrrrrrrrr6r=r9rrisG33r=rc,\rSrSrSr\SSj5rSrg)MultiActionAgentOutputParseriqzzBase class for parsing agent output into agent actions/finish. This is used for agents that can return multiple actions. cg)z{Parse text into agent actions/finish. Args: text: Text to parse. Returns: List of agent actions or agent finish. Nr6rs r9r"MultiActionAgentOutputParser.parseyrJr=r6N)rrxrrrr6r=r9rrqs   r=rc\rSrSr%SrS\S'/rS\S'/rS\S'SrS \S '\ "SS 9r \ SS j5r \ SS j5r SSSjjrSSSjjrSrg) RunnableAgentiAgent powered by Runnables.z)Runnable[dict, AgentAction | AgentFinish]runnablerinput_keys_argreturn_keys_argTboolstream_runnablearbitrary_types_allowedcUR$r4rr7s r9r:RunnableAgent.return_values###r=cUR$rSrr7s r9rTRunnableAgent.input_keyss"""r=Nc 0UESU0EnSnUR(a0URRUSU0S9HnUcUnM XV- nM U$URRUSU0S9nU$aBased on past history and current inputs, decide what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with the observations. callbacks: Callbacks to run. **kwargs: User inputs. Returns: Action specifying what tool to use. rENrFconfigrrstreaminvoker8rErFrGinputs final_outputchunks r9rHRunnableAgent.plan"FFE02DE   --fk9=U-V'#(L )L W ==// Y?W/XLr=c# 0UESU0EnSnUR(a2URRUSU0S9ShvN nUcUnMXV- nMURRUSU0S9IShvN nU$N7 U$N 7faAsync based on past history and current inputs, decide what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with observations. callbacks: Callbacks to run. **kwargs: User inputs. Returns: Action specifying what tool to use. rENrFrrrastreamainvokers r9rMRunnableAgent.aplans"FFE02DE    $}}44#Y/ 5  *e '#(L )L!%!6!6#Y/"7"L *  28A=A8A6A8-A=/A;0A=6A88A=r6rrrrrrrr__annotations__rrrr$ model_configrr:rTrHrMrr6r=r9rrs%77/ "NI"!#OY# OT  $L$$## $"9"" " # "N $'9'' ' # ''r=rc\rSrSr%SrS\S'/rS\S'/rS\S'SrS \S '\ "SS 9r \ SS j5r \ SS j5r SSSjjrSSSjjrSrg)RunnableMultiActionAgentirz/Runnable[dict, list[AgentAction] | AgentFinish]rrrrTrrrcUR$rrr7s r9r:&RunnableMultiActionAgent.return_valuesrr=cUR$)9Return the input keys. Returns: List of input keys. rr7s r9rT#RunnableMultiActionAgent.input_keys s"""r=Nc 0UESU0EnSnUR(a0URRUSU0S9HnUcUnM XV- nM U$URRUSU0S9nU$rrrs r9rHRunnableMultiActionAgent.planrr=c# 0UESU0EnSnUR(a2URRUSU0S9ShvN nUcUnMXV- nMURRUSU0S9IShvN nU$N7 U$N 7frr rs r9rMRunnableMultiActionAgent.aplan7s"FFE02DE    $}}44#Y/ 5  *e '#(L )L!%!6!6#Y/"7"L  *  r r6rrrrr6r=r9rrs%==0 "NI"!#OY# OT  $L$$## $"9"" " ) "N $(9(( ( ) ((r=rz0.1.0z1.0)messageremovalc^\rSrSr%SrS\S'S\S'S\S'\SS j5r\SU4S jj5r SSS jjr SSS jjr SS jr Sr U=r$)LLMSingleActionAgentibz$Base class for single action agents.r- llm_chainr output_parserrstopcZ[[URR5S1- 5$)rrElistsetr rTr7s r9rTLLMSingleActionAgent.input_keysqs'C1126J5KKLLr=c *>[TU]5nUS U$rr!rur|rs r9r|LLMSingleActionAgent.dictz  / " r=c URR"SUURUS.UD6nURR U5$)zGiven input, decided what to do. Args: intermediate_steps: Steps the LLM has taken to date, along with the observations. callbacks: Callbacks to run. **kwargs: User inputs. Returns: Action specifying what tool to use. rEr"rFr6)r runr"r!rr8rErFrGr5s r9rHLLMSingleActionAgent.plansM"## 1    !!''//r=c# URR"SUURUS.UD6IShvN nURR U5$N7f)rLr.Nr6)r arunr"r!rr0s r9rMLLMSingleActionAgent.aplansZ"~~** 1     !!''//  s.AA Ac`S[UR5S:XaSS.$URSS.$)rrZr llm_prefixobservation_prefix)lenr"r7s r9r,LLMSingleActionAgent.tool_run_logging_kwargss8(+DII!(;"  AE1  r=r6rrrrr)rrrrrrrrTr'r|rHrMrrrrs@r9rrbs /$$$) O% MM $0900 0 # 08 $0900 0 # 02  r=rc ^\rSrSr%SrS\S'S\S'SrS\S '\SU4S jj5rS S jr \ S!S j5r \ S!S j5r S"Sjr S#S$SjjrS#S$SjjrS%Sjr\ S!Sj5r\"SS9S&Sj5r\ \S'Sj55r\ \S'Sj55r\\S(Sj55r\S)Sj5r\\S*Sj55r\S+S,Sjj5rS-SjrS.SjrSrU=r$)/AgentizAgent that calls the language model and deciding the action. This is driven by a LLMChain. The prompt in the LLMChain MUST include a variable called "agent_scratchpad" where the agent can put its intermediary work. r-r rr!Nr allowed_toolsc *>[TU]5nUS U$r)r*rs r9r| Agent.dictr,r=cUR$)r?)r=r7s r9r@Agent.get_allowed_toolss!!!r=cS/$r3r6r7s r9r:Agent.return_valuesr<r=cvSURR53SURR53/$)N z )r8rstripr7s r9_stop Agent._stopsB((//12 34**1134 5  r=c~SnUH4up4X#R- nUSURUSUR3- nM6 U$)zJConstruct the scratchpad that lets the agent continue its thought process.rZrE)logr8r7)r8rEthoughtsaction observations r9_construct_scratchpadAgent._construct_scratchpadsP #5 F  "H "T445k]"T__DUV VH$6r=c UR"U40UD6nURR"SSU0UD6nURR U5$)rCrFr6)get_full_inputsr predictr!rr8rErFrG full_inputs full_outputs r9rH Agent.plansM"**+=HH nn,,PyPKP !!'' 44r=c# UR"U40UD6nURR"SSU0UD6IShvN nURR U5IShvN $N'N7f)rLrFNr6)rQr apredictr!aparserSs r9rM Agent.aplans_"**+=HH  NN33WiW;WW ''..{;;;X;s!5A#A"A#A!A#!A#c LURU5nX0RS.n0UEUE$)zCreate the full inputs for the LLMChain from intermediate steps. Args: intermediate_steps: Steps the LLM has taken to date, along with observations. **kwargs: User inputs. Returns: Full inputs for the LLMChain. agent_scratchpadr")rNrG)r8rErGrK new_inputss r9rQAgent.get_full_inputss1--.@A*2JJG '&'J''r=cZ[[URR5S1- 5$)rSr]r$r7s r9rTAgent.input_keys.s'C1126H5IIJJr=aftermodecURRnSUR;a[R S5 URR S5 [ U[5(aU=RS- slU$[ U[5(aU=RS- sl U$S[U53n[U5eU$)aValidate that prompt matches format. Args: values: Values to validate. Returns: Validated values. Raises: ValueError: If `agent_scratchpad` is not in prompt.input_variables and prompt is not a FewShotPromptTemplate or a PromptTemplate. r]zl`agent_scratchpad` should be a variable in prompt.input_variables. Did not find it, so adding it at the end.z {agent_scratchpad}zGot unexpected prompt type ) r promptinput_variablesloggerwarningappendrwrtemplaterrtyper^)r8rfrbs r9validate_promptAgent.validate_prompt3s&& V%;%; ; NN=   " " ) )*< =&.11#99  F$9:: !77  4DL>B o% r=cg)z&Prefix to append the observation with.Nr6r7s r9r8Agent.observation_prefixQrJr=cg)z#Prefix to append the LLM call with.Nr6r7s r9r7Agent.llm_prefixVrJr=cg)z_Create a prompt for this class. Args: tools: Tools to use. Returns: Prompt template. Nr6rhrjs r9 create_promptAgent.create_prompt[rJr=cg)zOValidate that appropriate tools are passed in. Args: tools: Tools to use. Nr6rts r9_validate_toolsAgent._validate_toolsgrJr=c g)z)Get default output parser for this class.Nr6)rhrGs r9_get_default_output_parser Agent._get_default_output_parserorJr=c URU5 [UURU5US9nUVs/sHowRPM nnU=(d UR 5n U"SUUU S.UD6$s snf)aConstruct an agent from an LLM and tools. Args: llm: Language model to use. tools: Tools to use. callback_manager: Callback manager to use. output_parser: Output parser to use. kwargs: Additional arguments. Returns: Agent object. )rirfrk)r r=r!r6)rxr-runamer{) rhrirjrkr!rGr tool tool_names_output_parsers r9rlAgent.from_llm_and_toolsts* E"$$U+- -22EDiiE 2&J#*H*H*J $(    3sA,c US:Xa[SS0S5$US:XaSnUH4upVXER- nUSURUSUR3- nM6 US- nX@RS.n0UEUEnUR R "S 0UD6n URRU 5n [U [5(aU $[SU 0U 5$S U3n [U 5e) atReturn response when agent has been stopped due to max iterations. Args: early_stopping_method: Method to use for early stopping. intermediate_steps: Steps the LLM has taken to date, along with observations. **kwargs: User inputs. Returns: Agent finish object. Raises: ValueError: If `early_stopping_method` is not in ['force', 'generate']. rXr5rYrZgeneraterEzB I now need to return a final answer based on the previous steps:r\zBearly_stopping_method should be one of `force` or `generate`, got r6) rrJr8r7rGr rRr!rrwr^) r8r`rErGrKrLrMr^rTrU parsed_outputrbs r9rcAgent.return_stopped_responses( !G +PQ  !J .H'9#JJ&001+b@QR(: V H/7 KJ2V2z2K..00?;?K ..44[AM-55$$+6 D D () + or=c4URURS.$)rr6r6r7s r9rAgent.tool_run_logging_kwargss//"&"9"9  r=r6rrr)rErrzstr | list[BaseMessage]rr)rErrGr rzbuiltins.dict[str, Any]rr&r)rjrrr)rjrrr)rGr rr)NN) rirrjrrkrr!zAgentOutputParser | NonerGr rr<)r`rxrErrGr rrr) rrrrrrr=r'r|r@rr:rGrNrHrMrQrTr%rmrr8r7rrurxr{rlrcrrrrs@r9r<r<sA $$$)&*M#*H  "  9  !  $5955 5 # 50 $<9<< < # <*(9(( ! (&KK'"#:5522    88 8<26 ! ! "! 5 ! 0 !  !  ! ! F5"5:5 5  5n  r=r<c\rSrSr%SrSrS\S'SrS\S'\S S S jj5r \S SS jj5r S r g) ExceptionTooliz!Tool that just returns the query. _Exceptionrxr~zException tool descriptionNcU$rr6r8query run_managers r9_runExceptionTool._runs  r=c# U$7frr6rs r9_arunExceptionTool._aruns  sr6r)rrxrz CallbackManagerForToolRun | Nonerrx)rrxrz%AsyncCallbackManagerForToolRun | Nonerrx) rrrrrr~rrr'rrrr6r=r9rrs+D#'K'" 9=6 >B; r=rcl\rSrSr%SrS\S'S\S'SrS\S 'S rS \S 'S rS\S'Sr S\S'Sr S\S'Sr S\S'\ S7S8Sjj5r \"SS9S9Sj5r\"SS9\ S:Sj55r\S;Sj5r\SS#j5r\S>S$j5rS?S%jrS@S&jrS7SAS'jjrS7SBS(jjrSCS)jrS7SDS*jjrS7SES+jjrS7SFS,jjr S7SGS-jjr!S7SHS.jjr"S7SIS/jjr#S7SJS0jjr$S7SKS1jjr%SLS2jr&SMS3jr'\S7SNS4jj5r(\S7SOS5jj5r)S6r*g )P AgentExecutorizAgent that is using tools.7BaseSingleActionAgent | BaseMultiActionAgent | RunnableagentrrjFrreturn_intermediate_stepsz int | Nonemax_iterationsNz float | Nonemax_execution_timerXrxr`z3bool | str | Callable[[OutputParserException], str]handle_parsing_errorszNint | Callable[[list[tuple[AgentAction, str]]], list[tuple[AgentAction, str]]]trim_intermediate_stepsc U"SUUUS.UD6$)zCreate from agent and tools. Args: agent: Agent to use. tools: Tools to use. callbacks: Callbacks to use. kwargs: Additional arguments. Returns: Agent executor object. )rrjrFr6r6)rhrrjrFrGs r9from_agent_and_tools"AgentExecutor.from_agent_and_tools"s)&     r=rbrccURnURnUR5nUbW[U5UVs1sHoDRiM sn:wa.SUSUVs/sHoDRPM snS3n[ U5eU$s snfs snf)zValidate that tools are compatible with agent. Args: values: Values to validate. Returns: Validated values. Raises: ValueError: If allowed tools are different than provided tools. zAllowed tools (z!) different than provided tools ())rrjr@r&r~r^)r8rrjr=rrbs r9validate_toolsAgentExecutor.validate_tools<s  //1  $]);"'@ "'$II%@ * "-1#:?#@%$II%#@"AD S/ ! @ $As BB beforeczURS5nU(an[U[5(aYURnU[[ [ -:HnURSS5nU(a[UUS9US'U$[UUS9US'U$![a SnNE[a [RS5 SnNgf=f)zoConvert runnable to agent if passed in. Args: values: Values to validate. Returns: Validated values. rFz.Unexpected error getting OutputType from agentrT)rr)getrwr OutputTyper%r r TypeError Exceptionrh exceptionpoprr)rhvaluesr output_type multi_actionrs r9validate_runnable_agent%AgentExecutor.validate_runnable_agentVs 7# Zx00 N#..  +d;.?+.MM $jj):DAO":"$3#w #0"$3#w ' %$  %  !QR$  %s B B: B:9B:c[UR[5(a[SUR5$UR$)aType cast self.agent. If the `agent` attribute is a Runnable, it will be converted one of RunnableAgentType in the validate_runnable_agent root_validator. To support instantiating with a Runnable, here we explicitly cast the type to reflect the changes made in the root_validator. RunnableAgentType)rwrrr r7s r9 _action_agentAgentExecutor._action_agentzs1 djj( + ++TZZ8 8zzr=cSn[U5e)zRaise error - saving not supported for Agent Executors. Args: file_path: Path to save to. Raises: ValueError: Saving not supported for agent executors. zpSaving not supported for agent executors. If you are trying to save the agent, please use the `.save_agent(...)`)r^)r8rrbs r9rAgentExecutor.saves ! or=c8URRU5$)zBSave the underlying agent. Args: file_path: Path to save to. )rr)r8rs r9 save_agentAgentExecutor.save_agents !!&&y11r=)include_run_infoasync_c0[UUUURUS9$)aEnables iteration over steps taken to reach final output. Args: inputs: Inputs to the agent. callbacks: Callbacks to run. include_run_info: Whether to include run info. async_: Whether to run async. (Ignored) Returns: Agent executor iterator object. )tagsr)r)r)r8rrFrrs r9iterAgentExecutor.iters$&%   -   r=c.URR$r)rrTr7s r9rTAgentExecutor.input_keyss!!,,,r=cUR(a/URRQSP$URR$)zReturn the singular output key.rE)rrr:r7s r9 output_keysAgentExecutor.output_keyss<  ) )LT''55L7KL L!!///r=c`URVs0sHo"RU_M snU$s snf)zOLookup tool by name. Args: name: Name of tool. Returns: Tool object. )rjr~)r8r~rs r9 lookup_toolAgentExecutor.lookup_tools+-1JJ7JD 4J7==7s+cURbXR:agURSL=(d X R:$)NF)rr)r8 iterations time_elapseds r9_should_continueAgentExecutor._should_continues;    *z=P=P/P&&$.X,AXAX2XXr=cU(aURUSURS9 URnUR(aX$S'U$Ngreen)colorverboserEon_agent_finishrr:rr8r5rErrs r9_returnAgentExecutor._returnsC   ' 'gt|| ' T++  ) )1C- .r=c# U(a#URUSURS9IShvN URnUR(aX$S'U$N'7frrrs r9_areturnAgentExecutor._areturns^ -- .   ++  ) )1C- . s&AA(Ac[US[5(a![U5S:wa Sn[U5eUS$UVs/sH2n[U[5(dMUR UR 4PM4 sn$s snf)Nrz>Expected a single AgentFinish output, but got multiple values.)rwrr9r^rrLrM)r8rrbas r9_consume_next_step AgentExecutor._consume_next_stepsk fRj+ . .6{aV o%": 39V6aZ9=U)1==)6VVVs A:A:c \UR[URUUUUU555$r)rr%_iter_next_step)r8name_to_tool_map color_mappingrrErs r9_take_next_stepAgentExecutor._take_next_steps<&& $$$!&    r=c## URU5nURR"U4SU(aUR5OS0UD6n[ U[,5(aUv g[ U[5(aU/OUn U HnUv M U HnUR/UUUU5v M g![Gan[ UR [5(aUR (+nOSnU(aSU<3n [U 5Ue[U5n [ UR [5(a?UR(a+[UR5n [UR5n OiSn Of[ UR [5(a UR n O:[UR 5(aUR U5n OSn [U 5Ue[SX5nU(aURUSS 9 URR!5n [#5R$"UR&4UR(SU(aUR5OSS .U D6n [+XkS 9v SnAgSnAff=f7f) Take a single step in the thought-action-observation loop. Override this to take control of how the agent makes and acts on choices. rFNFAn output parsing error occurred. In order to pass this error back to the agent and have it try again, pass `handle_parsing_errors=True` to the AgentExecutor. This is the error: Invalid or incomplete response.Got unexpected type of `handle_parsing_errors`rrrrrrFrLrM)_prepare_intermediate_stepsrrH get_childrrwrrr^rx send_to_llmrM llm_outputcallabler on_agent_actionrrr/ tool_inputrrr_perform_agent_action)r8rrrrErr5e raise_errorrbrrMtool_run_kwargsactions agent_actions r9rAgentExecutor._iter_next_steps<0 !%!A!ABT!U '',,"5@+//1dF^ fk * *L )==6(6#L $#L,,   $e%' $44d;;"&"<"<< # *+,0 !o1,q6D$44d;;=="%amm"4Kq||,D"BKD66<<"88 $4455"88; F o1, {AF++F'+B"00HHJO'/--!! 5@+//1d  " K6C C O' s1I1AB, A!I1, I.7F-I)$I1)I..I1cU(aURUSS9 URU;aXRnURnX#RnURR 5nU(aSUS'UR "UR 4URUU(aUR5OSS.UD6n O~URR 5n[5R "UR[UR55S.4URSU(aUR5OSS.UD6n [X9S9$)NrrrZr7rrequested_tool_nameavailable_tool_namesr) rr return_directrrr/rrrr+r%keysr r8rrrrrrrrrMs r9r#AgentExecutor._perform_agent_actionds1   ' ' G ' D    0 0#$5$56D ..M!"3"34E"00HHJO02 -(('' 5@+//1d  " K#00HHJO%-+++7+<+<,01A1F1F1H,I   5@+//1d " K FFr=c # URURUUUUU5Vs/sShvN nUPM N sn5$s snf7fr)r_aiter_next_step)r8rrrrErrs r9_atake_next_stepAgentExecutor._atake_next_stepsV&& $44$!&        s&#A>6 46 >6 > Ac N# URU5nURR"U4SU(aUR5OS0UD6IShvN n[ U[*5(aU7v g[ U[5(aU/OUn U HnU7v M [,R."U Vs/sHnUR1UUUU5PM sn6IShvN nUHnU7v M gN![Gan[ UR [5(aUR (+nOSnU(aSU<3n [U 5Ue[U5n [ UR [5(a?UR(a+[UR5n [UR5n OiSn Of[ UR [5(a UR n O:[UR 5(aUR U5n OSn [U 5Ue[SX5nURR5n [!5R""UR$4UR&SU(aUR5OSS.U D6IShvN n [)XkS 97v SnAgSnAff=fs snfGN7f) rrFNFrrrrrr)rrrMrrrwrrr^rxrrMrrr rrr3rrrrasynciogather_aperform_agent_action)r8rrrrErr5rrrbrrMrrrresultrs r9r AgentExecutor._aiter_next_stepsz. !%!A!ABT!U  --33"5@+//1dFZ fk * *L )==6(6#L $~~%,%,L ++$!   %,   EKI %% $44d;;"&"<"<< # *+,0 !o1,q6D$44d;;=="%amm"4Kq||,D"BKD66<<"88 $4455"88; F o1, {AF"00HHJO - 4 4!!! 5@+//1d ! " !K6C C K% f  sgJ%A C%C#C%AJ%*JJ%J"J%#C%% J0FJ>J?JJ%J J%c# U(a#URUURSS9IShvN URU;aXRnURnX#RnURR 5nU(aSUS'UR "UR4URUU(aUR5OSS.UD6IShvN n OURR 5n[5R "UR[UR55S.4URSU(aUR5OSS.UD6IShvN n [X9S9$GN=NN7f)Nr)rrrZr7rrr) rrrrrrr3rrr+r%rrrs r9r$AgentExecutor._aperform_agent_actionsg -- .      0 0#$5$56D ..M!"3"34E"00HHJO02 - $ ''! 5@+//1d ! " !K#00HHJO + 2 2+7+<+<,01A1F1F1H,I !  5@+//1d !" ! K FFC  s5&E,E%B'E,E(BE,E*E,(E,*E,cURVs0sHo3RU_M nn[URVs/sHo3RPM snSS/S9n/nSnSn[R"5n UR Xx5(aUR UUUUUS9n [ U [5(aURU UUS9$URU 5 [U 5S:Xa*U Sn URU 5n U bURU UUS9$US- n[R"5U - nUR Xx5(aMURR"URU40UD6n URXUS9$s snfs snf)z(Run text through and get agent response.rredexcluded_colorsrrr)rjr~r"timerrrwrrextendr9_get_tool_returnrrcr`r8rrrrrrErr start_timenext_step_outputnext_step_action tool_returnr5s r9_callAgentExecutor._call"s9= C IItO C)#':: .:4YY: .$e, =?  YY[ ##J==#33 "' 4  *K88||$& +$  % %&6 7#$)#3A#6 "334DE *<<#*$/( !OJ99;3L7##J==8##;;  & &    ||FK|PP[D /s E8E=c # URVs0sHo3RU_M nn[URVs/sHo3RPM snS/S9n/nSnSn[R"5n [ UR 5IShvN UR Xx5(aURUUUUUS9IShvN n [U [5(a*URU UUS9IShvN sSSS5IShvN $URU 5 [U 5S:XaCU Sn URU 5n U b*URU UUS9IShvN sSSS5IShvN $US- n[R"5U - nUR Xx5(aMURR"UR U40UD6n URU UUS9IShvN sSSS5IShvN $s snfs snfGNiGN;GNGNNNN/N!!,IShvN (df  g=f!["[$R"4aE URR"UR U40UD6n URU UUS9IShvN s$f=f7f)z.Async run text through and get agent response.rrrrNrr)rjr~r"rr.rrr rwrrrr9rrrcr` TimeoutErrorr rs r9_acallAgentExecutor._acallXs9= C IItO C)#':: .:4YY: .$I =?  YY[ 4 &t'>'>??++JEE-1-B-B(%*$/ .C.($""2K@@%)]],.(3&3& @?? '--.>?+,1+;A+>(&*&;&;G9?-H ,G<-H 0 H$<G?=H$JA H HH  H$H H$$J%3H rr@) rrArrBrrBrErrr>rz4AsyncIterator[AgentFinish | AgentAction | AgentStep]) rrArrBrr rr>rr)rrBrr<rr=)rrBrr>rrB)rztuple[AgentAction, str]rzAgentFinish | None)rErrr)r5dict[str, Any] | AnyrRunnableConfig | NonerGr rzIterator[AddableDict])r5rCrrDrGr rzAsyncIterator[AddableDict])+rrrrrrrrrr`rrrrr%rrrrr'rrrrTrrrrrrrrrr r rr"r&rrrr rr6r=r9rrs$ BB3 -&+t+3!#NJ#9(, +")3(RWNV V  $  F "        2'"#2(# $ D   2 $ "'          6--00 >Y:>  ! 7   "?C !<   " W W 5 W":>  - &   :  7   5 4:> M-M&M M : M 7 M 9Mh:> %G-%G&%G" %G 7 %G  %GZ?C  - &   :  <   5 6?C U-U&U U : U < U >Ux?C )G-)G&)G" )G < )G  )G\:>4Q4Q74Q  4Qr?CGG<G  GR1 * "9 " ' ")-#&   <)-#&  $ r=r)`r __future__rr builtinsrrloggingrabcrcollections.abcrrrrpathlibr typingr r rlangchain_core._apir langchain_core.agentsr rrlangchain_core.callbacksrrrrrrlangchain_core.exceptionsrlangchain_core.language_modelsrlangchain_core.messagesrlangchain_core.output_parsersrlangchain_core.promptsrlangchain_core.prompts.few_shotrlangchain_core.prompts.promptrlangchain_core.runnablesrrrlangchain_core.runnables.utilsr langchain_core.toolsr!langchain_core.utils.inputr"pydanticr#r$r%typing_extensionsr&r'"langchain_classic._api.deprecationr('langchain_classic.agents.agent_iteratorr)$langchain_classic.agents.agent_typesr*langchain_classic.agents.toolsr+langchain_classic.chains.baser,langchain_classic.chains.llmr-#langchain_classic.utilities.asyncior. getLoggerrrhr0rrr%rrrrr<rr?rrr6r=r9rdsK"  GG  *EE<</:5A8LL6)8;;,HI:6/1?   8 $cIcLI9IX3({)BC3 T+&45 (i)iXn3nb  %  Q 0Q  Q h  %  T !T  T nH2kK/);<!$<<L EL r=