b6i=IddlZddlmZmZddlmZddlmZddlm Z ddl m Z ddl m Z dd lmZdd lmZdd lmZd d lmZmZej.ej0dZGddZGddZy)N)AsyncClientWrapperSyncClientWrapper)RequestOptions)#GetToolDependentAgentsResponseModel) SortDirection)ToolRequestModel)ToolResponseModel) ToolSortBy)ToolTypeFilter)ToolsResponseModel)AsyncRawToolsClientRawToolsClient.ceZdZdefdZedefdZddddddddddeje deje d eje d ejejeejefd ejed ejed eje dejedefdZdddedejedefdZddde dejedefdZddde dejedej2fdZddde dedejedefdZddddde d eje deje dejedef dZy) ToolsClientclient_wrapperc&t||_yN)r)r _raw_clientselfrs t/root/.openclaw/workspace/visionaryfx/venv/lib/python3.12/site-packages/elevenlabs/conversational_ai/tools/client.py__init__zToolsClient.__init__s)Hreturnc|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- RawToolsClient rrs rwith_raw_responsezToolsClient.with_raw_responserNsearch page_sizeshow_only_owned_documentstypessort_directionsort_bycursorrequest_optionsr#r$r%r&r'r(r)r*c `|jj||||||||} | jS)aM Get all available tools in the workspace. Parameters ---------- search : typing.Optional[str] If specified, the endpoint returns only tools whose names start with this string. page_size : typing.Optional[int] How many documents to return at maximum. Can not exceed 100, defaults to 30. show_only_owned_documents : typing.Optional[bool] If set to true, the endpoint will return only tools owned by you (and not shared from somebody else). types : typing.Optional[typing.Union[ToolTypeFilter, typing.Sequence[ToolTypeFilter]]] If present, the endpoint will return only tools of the given types. sort_direction : typing.Optional[SortDirection] The direction to sort the results sort_by : typing.Optional[ToolSortBy] The field to sort the results by cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolsResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.tools.list( search="search", page_size=1, show_only_owned_documents=True, sort_direction="asc", sort_by="name", cursor="cursor", ) r"rlistdata rr#r$r%r&r'r(r)r* _responses rr-zToolsClient.list#sD|$$))&?)+*  ~~rr*requestcT|jj||}|jS)a Add a new tool to the available tools in the workspace. Parameters ---------- request : ToolRequestModel request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- from elevenlabs import ( ElevenLabs, ToolRequestModel, ToolRequestModelToolConfig_Client, ) client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.tools.create( request=ToolRequestModel( tool_config=ToolRequestModelToolConfig_Client( name="name", description="description", expects_response=False, ), ), ) r2r*rcreater.rr2r*r0s rr6zToolsClient.createms*N$$++G_+] ~~rtool_idcT|jj||}|jS)aQ Get tool that is available in the workspace. Parameters ---------- tool_id : str ID of the requested tool. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.tools.get( tool_id="tool_id", ) r1rgetr.rr8r*r0s rr;zToolsClient.gets)8$$((/(R ~~rcT|jj||}|jS)a@ Delete tool from the workspace. Parameters ---------- tool_id : str ID of the requested tool. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Any Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.tools.delete( tool_id="tool_id", ) r1rdeleter.r<s rr?zToolsClient.deletes)8$$++G_+U ~~rcV|jj|||}|jS)a Update tool that is available in the workspace. Parameters ---------- tool_id : str ID of the requested tool. request : ToolRequestModel request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- from elevenlabs import ( ElevenLabs, ToolRequestModel, ToolRequestModelToolConfig_Client, ) client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.tools.update( tool_id="tool_id", request=ToolRequestModel( tool_config=ToolRequestModelToolConfig_Client( name="name", description="description", expects_response=False, ), ), ) r4rupdater.rr8r2r*r0s rrBzToolsClient.updates-V$$++GWVe+f ~~rr)r$r*cX|jj||||}|jS)a Get a list of agents depending on this tool Parameters ---------- tool_id : str ID of the requested tool. cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. page_size : typing.Optional[int] How many documents to return at maximum. Can not exceed 100, defaults to 30. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetToolDependentAgentsResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.tools.get_dependent_agents( tool_id="tool_id", cursor="cursor", page_size=1, ) rDrget_dependent_agentsr.rr8r)r$r*r0s rrGz ToolsClient.get_dependent_agentss5V$$99 Fi: ~~r)__name__ __module__ __qualname__rrpropertyrr typingOptionalstrintboolUnionr Sequencerr rr r-r r r6r;Anyr?rBrrGrrrrs,I*;I >  (,*.;?`d9=/3'+;?H$H??3' H $*??4#8 H v||NFOON<[,[\] H 6H,H$H 8H HV`d(*(=C__^=\( (TW[3FOON4S_p>Z^cv~7Vbhblbl@nr,,(8,KQ??[iKj, ,d(,*.;? ..$ . ??3' .  8 . -.rrceZdZdefdZedefdZddddddddddeje deje d eje d ejejeejefd ejed ejed eje dejedefdZdddedejedefdZddde dejedefdZddde dejedej2fdZddde dedejedefdZddddde d eje deje dejedef dZy)AsyncToolsClientrc&t||_yr)rrrs rrzAsyncToolsClient.__init__5s.nMrrc|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- AsyncRawToolsClient rrs rr z"AsyncToolsClient.with_raw_response8r!rNr"r#r$r%r&r'r(r)r*c |K|jj||||||||d{} | jS7w)a Get all available tools in the workspace. Parameters ---------- search : typing.Optional[str] If specified, the endpoint returns only tools whose names start with this string. page_size : typing.Optional[int] How many documents to return at maximum. Can not exceed 100, defaults to 30. show_only_owned_documents : typing.Optional[bool] If set to true, the endpoint will return only tools owned by you (and not shared from somebody else). types : typing.Optional[typing.Union[ToolTypeFilter, typing.Sequence[ToolTypeFilter]]] If present, the endpoint will return only tools of the given types. sort_direction : typing.Optional[SortDirection] The direction to sort the results sort_by : typing.Optional[ToolSortBy] The field to sort the results by cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolsResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.list( search="search", page_size=1, show_only_owned_documents=True, sort_direction="asc", sort_by="name", cursor="cursor", ) asyncio.run(main()) r"Nr,r/s rr-zAsyncToolsClient.listCsRL**//&?)+0   ~~  s '<:<r1r2cpK|jj||d{}|jS7w)a Add a new tool to the available tools in the workspace. Parameters ---------- request : ToolRequestModel request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- import asyncio from elevenlabs import ( AsyncElevenLabs, ToolRequestModel, ToolRequestModelToolConfig_Client, ) client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.create( request=ToolRequestModel( tool_config=ToolRequestModelToolConfig_Client( name="name", description="description", expects_response=False, ), ), ) asyncio.run(main()) r4Nr5r7s rr6zAsyncToolsClient.creates8^**11'Sb1cc ~~d !646r8cpK|jj||d{}|jS7w)a Get tool that is available in the workspace. Parameters ---------- tool_id : str ID of the requested tool. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.get( tool_id="tool_id", ) asyncio.run(main()) r1Nr:r<s rr;zAsyncToolsClient.gets7H**..w.XX ~~Yr\cpK|jj||d{}|jS7w)a Delete tool from the workspace. Parameters ---------- tool_id : str ID of the requested tool. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Any Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.delete( tool_id="tool_id", ) asyncio.run(main()) r1Nr>r<s rr?zAsyncToolsClient.deletes7H**11'?1[[ ~~\r\crK|jj|||d{}|jS7w)av Update tool that is available in the workspace. Parameters ---------- tool_id : str ID of the requested tool. request : ToolRequestModel request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- import asyncio from elevenlabs import ( AsyncElevenLabs, ToolRequestModel, ToolRequestModelToolConfig_Client, ) client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.update( tool_id="tool_id", request=ToolRequestModel( tool_config=ToolRequestModelToolConfig_Client( name="name", description="description", expects_response=False, ), ), ) asyncio.run(main()) r4NrArCs rrBzAsyncToolsClient.updates:f**11'7\k1ll ~~ms "757rDctK|jj||||d{}|jS7w)a Get a list of agents depending on this tool Parameters ---------- tool_id : str ID of the requested tool. cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. page_size : typing.Optional[int] How many documents to return at maximum. Can not exceed 100, defaults to 30. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetToolDependentAgentsResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.get_dependent_agents( tool_id="tool_id", cursor="cursor", page_size=1, ) asyncio.run(main()) rDNrFrHs rrGz%AsyncToolsClient.get_dependent_agentsKsDf**?? Fi@  ~~ s #868)rIrJrKrrrLrr rMrNrOrPrQrRr rSrr rr r-r r r6r;rTr?rBrrGrUrrrWrW4s.N*<N #6  (,*.;?`d9=/3'+;?P$P??3' P $*??4#8 P v||NFOON<[,[\] P 6P,P$P 8P Pf`d0*0=C__^=\0 0d]a%%&//.:Y%ev%N`d%C%V__^=\%hnhrhr%Pnr44(84KQ??[iKj4 4t(,*.;? 66$ 6 ??3' 6  8 6 -6rrW)rMcore.client_wrapperrrcore.request_optionsr.types.get_tool_dependent_agents_response_modelrtypes.sort_directionrtypes.tool_request_modelr types.tool_response_modelr types.tool_sort_byr types.tool_type_filterr types.tools_response_modelr raw_clientrrcastrTOMITrrWrUrrrmsYH2a18:,4<;v{{6::s#]]@ MMr