Ah:SSKJr SSKrSSKrSSKJr SSKJrJrJ r J r J r SSK r SSK Jr SSKJr SSKJr SSKJr SS KJrJr SS KJr SS K Jr SS KJr SS KJr SSKJ r \(a SSK!J"r" SSK#J$r$ SSjr%SSjr&SSjr'"SS\5r(\"SSSS9SSSjj5r)g) ) annotationsN) defaultdict) TYPE_CHECKINGAnyCallableOptionalUnion) deprecated)CallbackManagerForChainRun)BaseLanguageModel)JsonOutputFunctionsParser)BasePromptTemplateChatPromptTemplate)get_colored_text)Response)Chain)LLMChain)SequentialChain OpenAPISpec) Parameterc ([R"SU5n0nUGH[nURS5RS5nXn[ U[ 5(anUSS:Xa"USS:XaSOSnSUR U5-nOUSS:Xa(USS:XaUS 3OSnUS 3UR U5-nOSR U5nO[ U[5(atUSS:XaS OSn UR5V V s/sHupU R X45PM n n n USS:XaSnSnOUSS:XaSnSnOSnS nXR U 5- nO#USS:XaSU3nOUSS:Xa SUS U3nOUnXU'GM^ UR"S 0UD6$s sn n f) Nz{(.*?)}z.;*r.,;=) refindalllstriprstrip isinstancelistjoindictitemsformat) url path_paramsexpected_path_param new_paramsparam clean_paramvalsepnew_valkv_sepkvkv_strss a/var/www/html/shao/venv/lib/python3.13/site-packages/langchain/chains/openai_functions/openapi.py _format_urlr9s**Z5J$ll4(//4 & c4 Qx3"2Y#-c3 -qS+09+; Q'(M+chhsm;((3- T " "!"I,S#F7:yy{C{tqv{{A6*{GCQx3qS xx( (G 1X_#iG 1X_+au-GG#5?%@ :: # ##%Ds<Fc20n/nUGHnUR(aURUR5nOG[[URR 555R nURU5nUR(a"UR(dURUl[R"URSS95X$R'UR(dMURUR5 GM SX#S.$)NT exclude_noneobject)type propertiesrequired) param_schema get_schemanextitercontentvaluesmedia_type_schema descriptionjsonloadsnamer@append)paramsspecr?r@pschemarGs r8_openapi_params_to_json_schemarQ@sJH  >>__Q^^4F $T!))*:*:*<%= > P P __%67F ==!3!3!"F !ZZ  (FG 66 ::: OOAFF #J MMc &^SSKJn UR(d/S4$/n0mURGHnUR U5Vs0sHofR UR 4U_M nnURU5GHLn0n URXX5n UR5n URU 5Hn XU R U R 4'M [[5n U R5HupXSRU5 M SSS S S .nUR5H$unnU U(dM[U UU5U U'M& UR!U 5nU(aUR"(a0nUR"R5HZunnUR$(dMUR'UR$5n[(R*"UR)S S 95UU'M\ [-U5S:Xa5[/[1UR555unnUS:XaSOSnUU U'O-[-U5S:aS[UR3550U S'UR5XU5nUR6UR8SU S.S.nURU5 UUR:UR<-S.TUS'GMO GM SSU4SjjjnUU4$![anSn[U5UeSnAff=fs snf)aConvert a valid OpenAPI spec to the JSON Schema format expected for OpenAI functions. Args: spec: OpenAPI spec to convert. Returns: Tuple of the OpenAI functions JSON schema and a default function for executing a request based on the OpenAI function schema. r) APIOperationzeCould not import langchain_community.tools. Please install it with `pip install langchain-community`.NcgNr r rRr8+openapi_spec_to_openai_fn..hs4rRrMheaderscookiesr,)queryheadercookiepathTr;zapplication/jsonrIdataanyOfr=)r>r?)rKrH parameters)methodr+rKc>T USnT USnURS05n[Xx5nSU;a4[US[5(a[R "US5US'0UEUEn UbSU ;aU SR U5 OX)S'UbSU ;aU SR U5 OX9S'[R"Xg40U DSU0D6$)Nrcr+r,r`rZrMtimeout) popr9r%r(rIdumpsupdaterequestsrequest) rKfn_argsrZrMrekwargsrcr+r,_kwargs_name_to_call_maps r8default_call_api3openapi_spec_to_openai_fn..default_call_apis#4(2%e,kk-4 #+ W GFOT!B!B"jj9GFO'W''  G# "))'2%, "  7"!((0$*!HwHHHrR)NN)rKstrrkr(rZOptional[dict]rMrsrez Optional[int]rlrreturnr)langchain_community.toolsrT ImportErrorpathsget_parameters_for_pathrKparam_inget_methods_for_path get_operationcopyget_parameters_for_operationrr&r)rLrQget_request_body_for_operationrErGrBrIrJlenrCrDrFfrom_openapi_spec operation_idrHbase_urlr_)rNrTemsg functionsr_rOr,rc request_argsop op_paramsr/params_by_typename_locparam_loc_to_arg_name param_locarg_name request_body media_types media_typemedia_type_objectrP schema_dictkeyapi_opfnrorns @r8openapi_spec_to_openai_fnrQsZ&: ::<I -1-I-I$-O -OVVQZZ ! #-O  //5FL##D1B#((*I::2>:?5::u~~67?(.N(0 {+2215 1"##% % ! (='B'B'D# 8!),,-K&y1.L*(E  >>rBL 4 4 5A5I5I5O5O5Q1J 1(:::!%1B1T1T!U26**"KKTK:3 J/6R {#q(.24 8I8I8K3L.M+J $.2D$D&&C(3L%%),3T+:L:L:N5O+PL(!33DGF++%11$".B   R  4- bj )a6 x#'!%!# III I I  I  I II6 & && & H #A% & sK.!L. L 8LL c\rSrSr%SrS\S'SrS\S'SrS\S '\SS j5r \SS j5r SSS jjr Sr g )SimpleRequestChainz5Chain for making a simple request to an API endpoint.rrequest_methodresponserr output_keyfunction input_keycUR/$rV)rselfs r8 input_keysSimpleRequestChain.input_keyssrRcUR/$rV)rrs r8 output_keysSimpleRequestChain.output_keyss  rRNc U=(d [R"5nXRRS5nXRRS5n[ US5n[ [ R "USS9S5nSUS3U-nURU5 URXE5n U R[RR:wa2U RSU RS US URS S 53n OU R 5n UR"U 0$![a U R n N&f=f) z2Run the logic of this chain and return the output.rK argumentsgreen)indentzCalling endpoint z with arguments: z: z For z Called with args: rMr)r get_noop_managerrrfrrIrgon_textr status_codericodesokreasonget Exceptiontextr) rinputs run_manager _run_managerrKargs _pretty_name _pretty_args_text api_responsers r8_callSimpleRequestChain._calls3 #S&@&Q&Q&S nn%))&1nn%))+6'g6 ' 4(BGL #L>1CD|SU#!%!4!4T!@  # #x~~'8'8 8++,B|/B/B.C%%)XXh%;$<>   -',,.** -',, -s D((EEr )rtz list[str]rV)rdict[str, Any]rz$Optional[CallbackManagerForChainRun]rtr) __name__ __module__ __qualname____firstlineno____doc____annotations__rrpropertyrrr__static_attributes__r rRr8rrsz?/ J 3Is2   !! =A++:+  ++rRrz0.2.13zThis function is deprecated and will be removed in langchain 1.0. See API reference for replacement: https://api.python.langchain.com/en/latest/chains/langchain.chains.openai_functions.openapi.get_openapi_chain.htmlz1.0)sincemessageremovalc ^^^SSKJn [U[5(aXU R U R U R4H n U "U5n O [U[5(aSU3n [U 5e[U5un mU(d Sn [U 5eU=(d [R"S5n[SUUSU 0[S S 9S US .U=(d 0D6nU=(d [UUU4S jUS9n[!SX/UR"S/US.UD6$![an Sn [U 5U eSn A ff=f![a e[a GMf=f)a Create a chain for querying an API from a OpenAPI spec. Note: this class is deprecated. See below for a replacement implementation. The benefits of this implementation are: - Uses LLM tool calling features to encourage properly-formatted API requests; - Includes async support. .. code-block:: python from typing import Any from langchain.chains.openai_functions.openapi import openapi_spec_to_openai_fn from langchain_community.utilities.openapi import OpenAPISpec from langchain_core.prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI # Define API spec. Can be JSON or YAML api_spec = """ { "openapi": "3.1.0", "info": { "title": "JSONPlaceholder API", "version": "1.0.0" }, "servers": [ { "url": "https://jsonplaceholder.typicode.com" } ], "paths": { "/posts": { "get": { "summary": "Get posts", "parameters": [ { "name": "_limit", "in": "query", "required": false, "schema": { "type": "integer", "example": 2 }, "description": "Limit the number of results" } ] } } } } """ parsed_spec = OpenAPISpec.from_text(api_spec) openai_fns, call_api_fn = openapi_spec_to_openai_fn(parsed_spec) tools = [ {"type": "function", "function": fn} for fn in openai_fns ] prompt = ChatPromptTemplate.from_template( "Use the provided APIs to respond to this user query:\n\n{query}" ) llm = ChatOpenAI(model="gpt-4o-mini", temperature=0).bind_tools(tools) def _execute_tool(message) -> Any: if tool_calls := message.tool_calls: tool_call = message.tool_calls[0] response = call_api_fn(name=tool_call["name"], fn_args=tool_call["args"]) response.raise_for_status() return response.json() else: return message.content chain = prompt | llm | _execute_tool .. code-block:: python response = chain.invoke({"query": "Get me top two posts."}) Args: spec: OpenAPISpec or url/file/text string corresponding to one. llm: language model, should be an OpenAI function-calling model, e.g. `ChatOpenAI(model="gpt-3.5-turbo-0613")`. prompt: Main prompt template to use. request_chain: Chain for taking the functions output and executing the request. rrzqCould not import langchain_community.utilities.openapi. Please install it with `pip install langchain-community`.Nz!Unable to parse spec from source zkMust provide an LLM for this chain.For example, from langchain_openai import ChatOpenAI llm = ChatOpenAI() z>Use the provided API's to respond to this user query: {query}rF) args_onlyr)llmprompt llm_kwargs output_parserrverbosec>T"UUTTS9$)N)rZrMr )rKr call_api_fnrZrMs r8rW#get_openapi_chain..s+   + rR)rrr)chainsinput_variablesoutput_variablesrr )%langchain_community.utilities.openapirrvr%rrfrom_url from_file from_textr ValueErrorrr from_templaterr rrr)rNrr request_chainllm_chain_kwargsrrZrMrlrrr conversion openai_fns llm_chainrs `` @r8get_openapi_chainrsT&E$   ! !  ! ! J  !$'  dC 5dVrs" #@@*?<TI7')7A*#$LN"n' n'*n'b++++\  } (,+/%)'+"!\ !\ $\ )\# \ % \  \\ \\\\rR