o lWi!:@sddlZddlmZmZddlmZddlmZddlm Z ddl m Z ddl m Z d d lmZmZeejd ZGd d d ZGdddZdS)N)AsyncClientWrapperSyncClientWrapper)RequestOptions)#GetToolDependentAgentsResponseModel)ToolRequestModel)ToolResponseModel)ToolsResponseModel)AsyncRawToolsClientRawToolsClient.c @eZdZdefddZedefddZddd ej e de fd d Z ddd e d ej e defd dZddded ej e defddZddded ej e dejfddZddded e d ej e defddZdddddedej edej ed ej e def ddZdS) ToolsClientclient_wrappercCt|d|_dSN)r)r _raw_clientselfrrm/var/www/html/asistente-voz-ia/venv/lib/python3.10/site-packages/elevenlabs/conversational_ai/tools/client.py__init__zToolsClient.__init__returncC|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- RawToolsClient rrrrrwith_raw_response zToolsClient.with_raw_responseNrequest_optionsr cCs|jj|d}|jS)a Get all available tools in the workspace. Parameters ---------- 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() rrlistdatarr _responserrrr" szToolsClient.listrequestcC|jj||d}|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, ), ), ) r&r rcreater#rr&r r%rrrr*:s'zToolsClient.createtool_idcCr')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", ) rrgetr#rr,r r%rrrr.dzToolsClient.getcCr')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", ) rrdeleter#r/rrrr2r0zToolsClient.deletecCs|jj|||d}|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, ), ), ) r(rupdater#rr,r&r r%rrrr4s+zToolsClient.updatecursor page_sizer r7r8cCs|jj||||d}|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, ) r6rget_dependent_agentsr#rr,r7r8r r%rrrr:s+z ToolsClient.get_dependent_agents)__name__ __module__ __qualname__rrpropertyr rtypingOptionalrr r"rrr*strr.Anyr2r4intrr:rrrrrsN  "*$  2rc @r )AsyncToolsClientrcCrr)r rrrrrrrzAsyncToolsClient.__init__rcCr)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- AsyncRawToolsClient rrrrrrrz"AsyncToolsClient.with_raw_responseNrr cs|jj|dIdH}|jS)aY Get all available tools in the workspace. Parameters ---------- 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() asyncio.run(main()) rNr!r$rrrr"szAsyncToolsClient.listr&c|jj||dIdH}|jS)a Add a new tool to the available tools in the workspace. Parameters ---------- request : ToolRequestModel request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- import asyncio from elevenlabs import ( AsyncElevenLabs, ToolRequestModel, ToolRequestModelToolConfig_Client, ) client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.create( request=ToolRequestModel( tool_config=ToolRequestModelToolConfig_Client( name="name", description="description", expects_response=False, ), ), ) asyncio.run(main()) r(Nr)r+rrrr*2s/zAsyncToolsClient.creater,crF)a Get tool that is available in the workspace. Parameters ---------- tool_id : str ID of the requested tool. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ToolResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.tools.get( tool_id="tool_id", ) asyncio.run(main()) rNr-r/rrrr.d$zAsyncToolsClient.getcrF)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()) rNr1r/rrrr2rGzAsyncToolsClient.deletecs |jj|||dIdH}|jS)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()) r(Nr3r5rrrr4s3zAsyncToolsClient.updater6r7r8cs"|jj||||dIdH}|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 -------- 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()) r6Nr9r;rrrr:s 3 z%AsyncToolsClient.get_dependent_agents)r<r=r>rrr?r rr@rArr r"rrr*rBr.rCr2r4rDrr:rrrrrEsN # "2$'( :rE)r@core.client_wrapperrrcore.request_optionsr.types.get_tool_dependent_agents_response_modelrtypes.tool_request_modelrtypes.tool_response_modelrtypes.tools_response_modelr raw_clientr r castrCOMITrrErrrrs     q