>|hQ6ddlZddlmZddlmZddlmZddlmZddl m Z ddl m Z dd l mZdd lmZdd lmZdd lmZdd lmZddlmZddlmZddlmZddlmZddlm Z ddl!m"Z"ddl#m$Z$ddl%m&Z&ddl'm(Z(ddl)m*Z*ddl+m,Z,ddl-m.Z.ddl/m0Z0ddl1m2Z2ddl3m4Z4ddl5m6Z6ddl7m8Z8ddl9m:Z:dd l;mZ>dd"l?m@Z@dd#lAmBZBdd$lCmDZDdd%lEmFZFdd&lGmHZHdd'lImJZJdd(lmKZKejejd)ZNGd*d+ZOGd,d-ZPy).N)SyncClientWrapper)RequestOptions)"ConversationSignedUrlResponseModel)construct_type)UnprocessableEntityError)HttpValidationError)JSONDecodeError)ApiError)ConversationalConfigApiModel)!AgentPlatformSettingsRequestModel)CreateAgentResponseModel)'convert_and_respect_annotation_metadata)GetAgentResponseModel)jsonable_encoder)GetAgentEmbedResponseModel)GetAgentLinkResponseModel)core)PostAgentAvatarResponseModel)AddAgentSecretResponseModel)GetAgentsPageResponseModel)EvaluationSuccessResult)!GetConversationsPageResponseModel)GetConversationResponseModel)UserFeedbackScore)CreatePhoneNumberResponseModel)GetPhoneNumberResponseModel)!GetKnowledgeBaseListResponseModel)AddKnowledgeBaseResponseModel)EmbeddingModelEnum)RagIndexResponseModel)GetKnowledgeBaseResponseModel),GetKnowledgeBaseDependentAgentsResponseModel)GetConvAiSettingsResponseModel)'ConversationInitiationClientDataWebhook)ConvAiWebhooks) GetWorkspaceSecretsResponseModel) PostWorkspaceSecretResponseModel)AsyncClientWrapper.c eZdZdefdZdddedejede fdZ de e dd d e d eje d ejed ejedejedef dZdddedejedefdZdddedejedejej&fdZde e e ddded eje d ejej*eejej&fd ejej*eejej&fd ejedejedefdZddddedejedejedefdZdddedejedefdZdddedej8dejedefdZddded ededejedef dZ ddddddejedeje!dejedejede"f dZ#dddddd dejedejed!eje$deje!dejede%f d"Z&ddd#edejede'fd$Z(ddd#edejedejej&fd%Z)ddd#edejeddfd&Z*ddd#ed'e+dejedejej&fd(Z,ddd)ed*ed+ed,edejede-f d-Z.ddd.edejede/fd/Z0ddd.edejedejej&fd0Z1e dd1d.edejedejede/fd2Z2dddejedejfe/fd3Z4ddddddd4dejedeje!dejed5eje d6eje dejede5fd7Z6e e e dd8d ejed9ejed:ejej8dejede7f d;Z8ddd<d=ed>e9d?eje dejede:f d@Z;ddd=edejededdddCd=edejedeje!dejede?f dDZ@dddejedeAfdEZBe e ddFdGejeCdHejeDdejedeAfdIZEdddejedeFfdJZGddd edKedejedeHfdLZIdddMedejeddfdNZJy)OConversationalAiClientclient_wrapperc||_yN_client_wrapperselfr,s b/var/www/html/test/engine/venv/lib/python3.12/site-packages/elevenlabs/conversational_ai/client.py__init__zConversationalAiClient.__init__0 -Nrequest_optionsagent_idr8returnc @|jjjddd|i|} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) a Get a signed url to start a conversation with an agent with an agent that requires authorization Parameters ---------- agent_id : str The id of the agent you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ConversationSignedUrlResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_signed_url( agent_id="21m00Tcm4TlvDq8ikWAM", ) %v1/convai/conversation/get_signed_urlGETr9methodparamsr8,type_object_ status_codebodyr0 httpx_clientrequestrHtypingcastrrjsonrr r r textr2r9r8 _response_response_jsons r3get_signed_urlz%ConversationalAiClient.get_signed_url3s <((55== 3H, >  Si++1c1{{6"@ ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAC2 * Si++1c1{{,"6 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAD)AD+E c R|jjjdt|d|} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) ar Retrieve config for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_agent( agent_id="21m00Tcm4TlvDq8ikWAM", ) v1/convai/agents/r=r?r8rArBrCrFrGr0rKrLrrHrMrNrrrOrr r r rPrQs r3 get_agentz ConversationalAiClient.get_agents <((55== 0 :; <+>  Si++1c1{{)"3 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SAC;AC;;+D&c |jjjdt|d|} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) an Delete an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[typing.Any] Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.delete_agent( agent_id="21m00Tcm4TlvDq8ikWAM", ) rlDELETErmrArBrCrFrGr0rKrLrrHrMrNOptionalAnyrrOrr r r rPrQs r3 delete_agentz#ConversationalAiClient.delete_agents&<((55== 0 :; <+>  Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SBD1;AD11+ErVrYrWrXr8c r|jjjdt|dd|i|||dddi|t} d|j cxkrd kr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | #t$r"t|j |j wxYw) a Patches an Agent settings Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. use_tool_ids : typing.Optional[bool] Use tool ids instead of tools specs from request payload. conversation_config : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] Conversation configuration for an agent platform_settings : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] Platform settings for the agent are all settings that aren't related to the conversation orchestration and content. name : typing.Optional[str] A name to make the agent easier to find request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.update_agent( agent_id="21m00Tcm4TlvDq8ikWAM", ) rlPATCHrVrarbrcrdrArBrCrFrGr0rKrLrrhrHrMrNrrrOrr r r rP r2r9rVrYrWrXr8rRrSs r3 update_agentz#ConversationalAiClient.update_agentAs9b((55== 0 :; < (;%6  2,> " Si++1c1{{)"3 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAD AD +D6conversation_signaturer8rc Z|jjjdt|ddd|i|} d|jcxkrdkr:nn7t j ttt|jS|jd k(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) ai Retrieve the widget configuration for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. conversation_signature : typing.Optional[str] An expiring token that enables a conversation to start. These can be generated for an agent using the /v1/convai/conversation/get_signed_url endpoint request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentEmbedResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_agent_widget( agent_id="21m00Tcm4TlvDq8ikWAM", ) rl/widgetr=rr>rArBrCrFrGr0rKrLrrHrMrNrrrOrr r r rPr2r9rr8rRrSs r3get_agent_widgetz'ConversationalAiClient.get_agent_widgetsJ((55== 0 :;7 C(*@, >  Si++1c1{{."8 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAC? AC??+D*c T|jjjdt|dd|} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) a Get the current link used to share the agent with others Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentLinkResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_agent_link( agent_id="21m00Tcm4TlvDq8ikWAM", ) rl/linkr=rmrArBrCrFrGr0rKrLrrHrMrNrrrOrr r r rPrQs r3get_agent_linkz%ConversationalAiClient.get_agent_links<((55== 0 :;5 A+>  Si++1c1{{-"7 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SAC<AC<<+D' avatar_filec f|jjjdt|ddid|i|t} d|j cxkrdkr:nn7t jttt|jS|j d k(r@tt jttt|j|j}t|j | #t$r"t|j |j wxYw) a Sets the avatar for an agent displayed in the widget Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. avatar_file : core.File See core.File for more documentation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- PostAgentAvatarResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.post_agent_avatar( agent_id="21m00Tcm4TlvDq8ikWAM", ) rl/avatarr\rr?datafilesr8rfrArBrCrFrGr0rKrLrrhrHrMrNrrrOrr r r rPr2r9rr8rRrSs r3post_agent_avatarz(ConversationalAiClient.post_agent_avatars!B((55== 0 :;7 C{,>   Si++1c1{{0": ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsADAD+D0 secret_valuec l|jjjdt|dd||dddi|t} d|j cxkrd kr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | #t$r"t|j |j wxYw) a Uploads a file or reference a webpage for the agent to use as part of it's knowledge base Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. name : str A name to help identify a particular agent secret secret_value : str A value to be encrypted and used by the agent request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddAgentSecretResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.add_agent_secret( agent_id="21m00Tcm4TlvDq8ikWAM", name="MY API KEY", secret_value="sk_api_12354abc", ) rl /add-secretr\rXrrbrcr?rOrer8rfrArBrCrFrGr0rKrLrrhrHrMrNrrrOrr r r rPr2r9rXrr8rRrSs r3add_agent_secretz'ConversationalAiClient.add_agent_secret^s,L((55== 0 :;; G ,  2,>   Si++1c1{{/"9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsADAD+D3cursor page_sizesearchr8rrrc D|jjjdd|||d|} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) a9 Returns a page of your agents and their metadata. Parameters ---------- cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. page_size : typing.Optional[int] How many Agents to return at maximum. Can not exceed 100, defaults to 30. search : typing.Optional[str] Search by agents name. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentsPageResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_agents() v1/convai/agentsr=rrrr>rArBrCrFrGr0rKrLrHrMrNrrrOrr r r rPr2rrrr8rRrSs r3 get_agentsz!ConversationalAiClient.get_agentssN((55==  &  ,>   Si++1c1{{."8 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAC4>AC44+Drr9call_successfulrr8rc F|jjjdd||||d|} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) a@ Get all conversations of agents that user owns. With option to restrict to a specific agent. Parameters ---------- cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. agent_id : typing.Optional[str] The id of the agent you're taking the action on. call_successful : typing.Optional[EvaluationSuccessResult] The result of the success evaluation page_size : typing.Optional[int] How many conversations to return at maximum. Can not exceed 100, defaults to 30. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConversationsPageResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_conversations( agent_id="21m00Tcm4TlvDq8ikWAM", ) v1/convai/conversationsr=rr9rrr>rArBrCrFrGr0rKrLrHrMrNrrrOrr r r rPr2rr9rrr8rRrSs r3get_conversationsz(ConversationalAiClient.get_conversationssZ((55== % $#2&  ,>   Si++1c1{{5"? ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAC5?AC55+D conversation_idc R|jjjdt|d|} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Get the details of a particular conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConversationResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_conversation( conversation_id="21m00Tcm4TlvDq8ikWAM", ) v1/convai/conversations/r=rmrArBrCrFrGr0rKrLrrHrMrNrrrOrr r r rPr2rr8rRrSs r3get_conversationz'ConversationalAiClient.get_conversationBs <((55==&'7'H&I J+>  Si++1c1{{0": ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Srpc |jjjdt|d|} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Delete a particular conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[typing.Any] Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.delete_conversation( conversation_id="21m00Tcm4TlvDq8ikWAM", ) rrrrmrArBrCrFrGrsrs r3delete_conversationz*ConversationalAiClient.delete_conversation}&<((55==&'7'H&I J+>  Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Srwc |jjjdt|dd|} d|jcxkrdkry|jdk(r@t t jttt|j |j}t|j| #t$r"t|j|j wxYw) at Get the audio recording of a particular conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- None Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_conversation_audio( conversation_id="21m00Tcm4TlvDq8ikWAM", ) r/audior=rmrArBNrFrCrGr0rKrLrrHrrMrNr rrOr r rPrs r3get_conversation_audioz-ConversationalAiClient.get_conversation_audios:((55==&'7'H&I P+>  Si++1c12$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsC A C+C/feedbackc |jjjdt|ddd|iddi|t} d|j cxkrd krpnnmt jt jt jtt jt j|j S|j d k(r@tt jttt|j |j}t|j | #t$r"t|j |j wxYw) a@ Send the feedback for the given conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. feedback : UserFeedbackScore Either 'like' or 'dislike' to indicate the feedback for the conversation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[typing.Any] Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.post_conversation_feedback( conversation_id="21m00Tcm4TlvDq8ikWAM", feedback="like", ) r /feedbackr\rrbrcrrArBrCrFrGr0rKrLrrhrHrMrNrtrurrOrr r r rPr2rrr8rRrSs r3post_conversation_feedbackz1ConversationalAiClient.post_conversation_feedbacksEL((55==&'7'H&I SH 2,>   Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsBD=AD==+E( phone_numberlabelsidtokenc X|jjjdd||||ddddi|t} d|jcxkrd kr:nn7t j ttt|j S|jd k(r@tt j ttt|j |j}t|j| #t$r"t|j|j wxYw) aY Import Phone Number from Twilio configuration Parameters ---------- phone_number : str Phone number label : str Label for the phone number sid : str Twilio Account SID token : str Twilio Auth Token request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- CreatePhoneNumberResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.create_phone_number( phone_number="phone_number", label="label", sid="sid", token="token", ) v1/convai/phone-numbers/creater\twiliorrrrproviderrbrcrrArBrCrFrGr0rKrLrhrHrMrNrrrOrr r r rPr2rrrrr8rRrSs r3create_phone_numberz*ConversationalAiClient.create_phone_number6s%`((55== , ,$  2,>  Si++1c1{{2"< ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAC>AC>>+D)phone_number_idc R|jjjdt|d|} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Retrieve Phone Number details by ID Parameters ---------- phone_number_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetPhoneNumberResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_phone_number( phone_number_id="TeaqRRdTcIfIu2i7BYfT", ) v1/convai/phone-numbers/r=rmrArBrCrFrGr0rKrLrrHrMrNrrrOrr r r rPr2rr8rRrSs r3get_phone_numberz'ConversationalAiClient.get_phone_numbers <((55==&'7'H&I J+>  Si++1c1{{/"9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Srpc |jjjdt|d|} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Delete Phone Number by ID Parameters ---------- phone_number_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[typing.Any] Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.delete_phone_number( phone_number_id="TeaqRRdTcIfIu2i7BYfT", ) rrrrmrArBrCrFrGrsrs r3delete_phone_numberz*ConversationalAiClient.delete_phone_numberrrwr9r8c h|jjjdt|dd|iddi|t} d|j cxkrdkr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | #t$r"t|j |j wxYw) a Update Phone Number details by ID Parameters ---------- phone_number_id : str The id of an agent. This is returned on agent creation. agent_id : typing.Optional[str] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetPhoneNumberResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.update_phone_number( phone_number_id="TeaqRRdTcIfIu2i7BYfT", ) rrzr9rbrcrrArBrCrFrGr0rKrLrrhrHrMrNrrrOrr r r rPr2rr9r8rRrSs r3update_phone_numberz*ConversationalAiClient.update_phone_numbers)H((55==&'7'H&I JH 2,>   Si++1c1{{/"9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsADAD+D1c ~|jjjdd|} d|jcxkrdkr\nnYt j tj tttj t|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Retrieve all Phone Numbers Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.List[GetPhoneNumberResponseModel] Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_phone_numbers() rr=rmrArBrCrFrGr0rKrLrHrMrNListrrrOrr r r rPr2r8rRrSs r3get_phone_numbersz(ConversationalAiClient.get_phone_numbersLs2((55== &+>  Si++1c1{{KK ;<"$kk*EF ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsA0DAD+D<rrrshow_only_owned_documents use_typesenser8rrc H|jjjdd|||||d|} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) a Get a list of available knowledge base documents Parameters ---------- cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. page_size : typing.Optional[int] How many documents to return at maximum. Can not exceed 100, defaults to 30. search : typing.Optional[str] If specified, the endpoint returns only such knowledge base documents whose names start with this string. show_only_owned_documents : typing.Optional[bool] If set to true, the endpoint will return only documents owned by you (and not shared from somebody else). use_typesense : typing.Optional[bool] If set to true, the endpoint will use typesense DB to search for the documents). request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetKnowledgeBaseListResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_knowledge_base_list() v1/convai/knowledge-baser=rrrrrr>rArBrCrFrGr0rKrLrHrMrNrrrOrr r r rP r2rrrrrr8rRrSs r3get_knowledge_base_listz.ConversationalAiClient.get_knowledge_base_lists^((55== & & -F!. ,>   Si++1c1{{5"? ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAC6AC66+D!rXurlfiler8rrc R|jjjdd||dd|i|t} d|jcxkrdkr:nn7t j ttt|jS|jd k(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) ay Uploads a file or reference a webpage to use as part of the shared knowledge base Parameters ---------- name : typing.Optional[str] A custom, human-readable name for the document. url : typing.Optional[str] URL to a page of documentation that the agent will have access to in order to interact with users. file : typing.Optional[core.File] See core.File for more documentation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddKnowledgeBaseResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.add_to_knowledge_base() rr\rXrrrrArBrCrFrGr0rKrLrhrHrMrNrrrOrr r r rPr2rXrrr8rRrSs r3add_to_knowledge_basez,ConversationalAiClient.add_to_knowledge_basesN((55== & ,>   Si++1c1{{1"; ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Srp force_reindexr8documentation_idmodelrc p|jjjdt|ddd|id|iddi|t} d |j cxkrd kr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | #t$r"t|j |j wxYw)a In case the document is not RAG indexed, it triggers rag indexing task, otherwise it just returns the current status. Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. model : EmbeddingModelEnum force_reindex : typing.Optional[bool] In case the document is indexed and for some reason you want to reindex it, set this param as true. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- RagIndexResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.rag_index_status( documentation_id="21m00Tcm4TlvDq8ikWAM", model="e5_mistral_7b_instruct", ) v1/convai/knowledge-base/ /rag-indexr\rrrbrcrdrArBrCrFrGr0rKrLrrhrHrMrNr!rrOrr r r rPr2rrrr8rRrSs r3rag_index_statusz'ConversationalAiClient.rag_index_status!s8R((55=='(89I(J'K: V 2,>  Si++1c1{{)"3 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAD AD +D5c R|jjjdt|d|} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Get details about a specific documentation making up the agent's knowledge base Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetKnowledgeBaseResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_knowledge_base_document_by_id( documentation_id="21m00Tcm4TlvDq8ikWAM", ) rr=rmrArBrCrFrGr0rKrLrrHrMrNr"rrOrr r r rPr2rr8rRrSs r3!get_knowledge_base_document_by_idz8ConversationalAiClient.get_knowledge_base_document_by_idqs <((55=='(89I(J'K L+>  Si++1c1{{1"; ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Srpc |jjjdt|d|} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Delete a document from the knowledge base Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[typing.Any] Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.delete_knowledge_base_document( documentation_id="21m00Tcm4TlvDq8ikWAM", ) rrrrmrArBrCrFrGrsrs r3delete_knowledge_base_documentz5ConversationalAiClient.delete_knowledge_base_documents'<((55=='(89I(J'K L+>  Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Srwrrr8c \|jjjdt|dd||d|} d|jcxkrdkr:nn7t j ttt|jS|jd k(r@tt j ttt|j|j}t|j| #t$r"t|j|j wxYw) a Get a list of agents depending on this knowledge base document Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. 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 ------- GetKnowledgeBaseDependentAgentsResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_dependent_agents( documentation_id="21m00Tcm4TlvDq8ikWAM", ) r/dependent-agentsr=rrr>rArBrCrFrGr0rKrLrrHrMrNr#rrOrr r r rPr2rrrr8rRrSs r3get_dependent_agentsz+ConversationalAiClient.get_dependent_agentssR((55=='(89I(J'KK\ ] &,>  Si++1c1{{@"J ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAD AD+D+c :|jjjdd|} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Retrieve Convai settings for the workspace Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConvAiSettingsResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_settings() v1/convai/settingsr=rmrArBrCrFrGr0rKrLrHrMrNr$rrOrr r r rPrs r3 get_settingsz#ConversationalAiClient.get_settings1s2((55== +>  Si++1c1{{2"< ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SAC/9AC//+D+conversation_initiation_client_data_webhookwebhooksr8r r c |jjjddt|tdt|t ddddi|t } d |jcxkrd kr:nn7tjttt|j S|jd k(r@ttjttt|j |j}t!|j| #t$r"t!|j|j" wxYw)a Update Convai settings for the workspace Parameters ---------- conversation_initiation_client_data_webhook : typing.Optional[ConversationInitiationClientDataWebhook] webhooks : typing.Optional[ConvAiWebhooks] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConvAiSettingsResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.update_settings() rrzr]r^r r rbrcrrArBrCrFrGr0rKrLrr%r&rhrHrMrNr$rrOrr r r rPr2r r r8rRrSs r3update_settingsz&ConversationalAiClient.update_settingsgs:B((55== ?fGF%@ D$7  2,#> & Si++1c1{{2"< ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsAD%AD+Ec :|jjjdd|} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j|#t$r"t|j|jwxYw) a Get all workspace secrets for the user Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetWorkspaceSecretsResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.get_secrets() v1/convai/secretsr=rmrArBrCrFrGr0rKrLrHrMrNr'rrOrr r r rPrs r3 get_secretsz"ConversationalAiClient.get_secretss2((55== +>  Si++1c1{{4"> ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Sr valuec T|jjjdd||ddddi|t} d|jcxkrd kr:nn7t j ttt|j S|jd k(r@tt j ttt|j |j}t|j| #t$r"t|j|j wxYw) a^ Create a new secret for the workspace Parameters ---------- name : str value : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- PostWorkspaceSecretResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.create_secret( name="name", value="value", ) rr\newrXrtyperbrcrrArBrCrFrGr0rKrLrhrHrMrNr(rrOrr r r rPr2rXrr8rRrSs r3 create_secretz$ConversationalAiClient.create_secrets@((55==   2,>   Si++1c1{{4"> ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Sr secret_idc |jjjdt|d|} d|jcxkrdkry|jdk(r@t t jttt|j|j}t|j| #t$r"t|j|j wxYw) a Delete a workspace secret if it's not in use Parameters ---------- secret_id : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- None Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.delete_secret( secret_id="secret_id", ) v1/convai/secrets/rrrmrArBNrFrCrGrr2rr8rRrSs r3 delete_secretz$ConversationalAiClient.delete_secret/s4((55== !1)!< = >+>  Si++1c12$$+.KK+&"5$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsC A C+C.)K__name__ __module__ __qualname__rr4strrMrtrrrTrhr boolr rrjrrorurvDictr}rrrrrFilerrrrintrrrrrrrrrrrrrrrrrrrrrrrr r!rr"rrr#rr$r r%r&rr'rr(rr#r6r3r+r+/s .*;.TX<O<O171P<O +<OD/3PT%);?XO:XOood+ XO "??+LM XO ooc" XO 8XO "XOvTX9O9O171P9O 9OxTX9O9O171P9O  $9O~/3^b\`%);?XOXOood+ XO $__V[[foofjj>Y9Y-Z[ XO "??6;;sFOOFJJ8W9O %9Ox[_9O"9O8>8W9O  $9Ox[_2O"2O8>8W2O 2Or<@ HOHO$ HO  8 HO  $ HOb<@VOVO VO  VO  VO 8VO (VOr[_9O"9O8>8W9O $9Ox[_9O"9O8>8W9O  $9O~*.;? FOFO//#& FO  8 FO % FOREI4O"(//."A4O 0 14Or(,*.'+;?/3;?QO$QO??3' QO $ QO $*??4#8 QOt,QO 8QO +QOl&*$(+/;? JOooc"JO__S ! JO oodii( JO  8 JO 'JOb04;? NONO" NO t, NO  8 NO NOb\`9O #9O9?9X9O &9Ox\`9O #9O9?9X9O  $9O~(,*.;? HOHO$ HO ??3' HO  8 HO 6HOVEI4O"(//."A4O '4Orqu48;? JO6<__El5mJO//.1 JO  8 JO ( JOZEI4O"(//."A4O )4On\`DODO#&DO9?9XDO )DOLcg/Os/OP^@_/Oko/Or6r+c eZdZdefdZdddedejede fdZ de e dd d e d eje d ejed ejedejedef dZdddedejedefdZdddedejedejej&fdZde e e ddded eje d ejej*eejej&fd ejej*eejej&fd ejedejedefdZddddedejedejedefdZdddedejedefdZdddedej8dejedefdZddded ededejedef dZ ddddddejedeje!dejedejede"f dZ#dddddd dejedejed!eje$deje!dejede%f d"Z&ddd#edejede'fd$Z(ddd#edejedejej&fd%Z)ddd#edejeddfd&Z*ddd#ed'e+dejedejej&fd(Z,ddd)ed*ed+ed,edejede-f d-Z.ddd.edejede/fd/Z0ddd.edejedejej&fd0Z1e dd1d.edejedejede/fd2Z2dddejedejfe/fd3Z4ddddddd4dejedeje!dejed5eje d6eje dejede5fd7Z6e e e dd8d ejed9ejed:ejej8dejede7f d;Z8ddd<d=ed>e9d?eje dejede:f d@Z;ddd=edejededdddCd=edejedeje!dejede?f dDZ@dddejedeAfdEZBe e ddFdGejeCdHejeDdejedeAfdIZEdddejedeFfdJZGddd edKedejedeHfdLZIdddMedejeddfdNZJy)OAsyncConversationalAiClientr,c||_yr.r/r1s r3r4z$AsyncConversationalAiClient.__init__br5r6Nr7r9r8r:c \K|jjjddd|i|d{} d|jcxkrdkr:nn7t j t tt |jS|jd k(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a7 Get a signed url to start a conversation with an agent with an agent that requires authorization Parameters ---------- agent_id : str The id of the agent you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ConversationSignedUrlResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_signed_url( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) r<r=r9r>NrArBrCrFrGrJrQs r3rTz*AsyncConversationalAiClient.get_signed_urlesL..;;CC 3H, D   Si++1c1{{6"@ ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN= 8 Sy'<'<9>>R R Ss4/D,C<D,AC>D,AC>%D,>+D))D,rUrYrVrWrXc K|jjjddd|it|tdt|t d|dddi|t d {} d |jcxkrd kr:nn7tjttt|j S|jdk(r@ttjttt|j |j}t!|j|7#t$r"t!|j|j"wxYww)a Create an agent from a config object Parameters ---------- conversation_config : ConversationalConfigApiModel Conversation configuration for an agent use_tool_ids : typing.Optional[bool] Use tool ids instead of tools specs from request payload. platform_settings : typing.Optional[AgentPlatformSettingsRequestModel] Platform settings for the agent are all settings that aren't related to the conversation orchestration and content. name : typing.Optional[str] A name to make the agent easier to find request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- CreateAgentResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs, ConversationalConfigApiModel client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.create_agent( conversation_config=ConversationalConfigApiModel(), ) asyncio.run(main()) r[r\rVr]r^rarbrcrdNrArBrCrFrGrgris r3rjz(AsyncConversationalAiClient.create_agents]j..;;CC % (O/>R R Ss8AED)E$AD+2E3AD+E++EEc nK|jjjdt|d|d{} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a Retrieve config for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_agent( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rlr=rmNrArBrCrFrGrnrQs r3roz%AsyncConversationalAiClient.get_agent sL..;;CC 0 :; <+D   Si++1c1{{)"3 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R S58D5DD5ADD5AD.D5+D22D5c K|jjjdt|d|d{} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a Delete an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[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.delete_agent( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rlrrrmNrArBrCrFrGrsrQs r3rvz(AsyncConversationalAiClient.delete_agentP s5L..;;CC 0 :; <+D   Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R S58E,D;E,BD>E,AD>$E,>+E))E,rxc K|jjjdt|dd|i|||dddi|td{} d |j cxkrd kr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | 7#t$r"t|j |j wxYww)a# Patches an Agent settings Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. use_tool_ids : typing.Optional[bool] Use tool ids instead of tools specs from request payload. conversation_config : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] Conversation configuration for an agent platform_settings : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] Platform settings for the agent are all settings that aren't related to the conversation orchestration and content. name : typing.Optional[str] A name to make the agent easier to find request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.update_agent( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rlrzrVrarbrcrdNrArBrCrFrGr{r|s r3r}z(AsyncConversationalAiClient.update_agent sIr..;;CC 0 :; < (;%6  2,D  " Si++1c1{{)"3 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNO J Sy'<'<9>>R R Ss8AE D EADEAD>E+EEr~rc vK|jjjdt|ddd|i|d{} d|jcxkrdkr:nn7t j ttt|j S|jd k(r@tt j ttt|j |j}t|j| 7#t$r"t|j|j wxYww) a Retrieve the widget configuration for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. conversation_signature : typing.Optional[str] An expiring token that enables a conversation to start. These can be generated for an agent using the /v1/convai/conversation/get_signed_url endpoint request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentEmbedResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_agent_widget( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rlrr=rr>NrArBrCrFrGrrs r3rz,AsyncConversationalAiClient.get_agent_widget s*Z..;;CC 0 :;7 C(*@, D   Si++1c1{{."8 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN= 8 Sy'<'<9>>R R Ss5 None: await client.conversational_ai.get_agent_link( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rlrr=rmNrArBrCrFrGrrQs r3rz*AsyncConversationalAiClient.get_agent_linkB sL..;;CC 0 :;5 A+D   Si++1c1{{-"7 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R S59D6DD6ADD6AD/D6+D33D6rc K|jjjdt|ddid|i|td{} d|j cxkrdkr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | 7#t$r"t|j |j wxYww) aa Sets the avatar for an agent displayed in the widget Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. avatar_file : core.File See core.File for more documentation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- PostAgentAvatarResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.post_agent_avatar( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rlrr\rrNrArBrCrFrGrrs r3rz-AsyncConversationalAiClient.post_agent_avatar s0R..;;CC 0 :;7 C{,D    Si++1c1{{0": ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNA  < Sy'<'<9>>R R Ss8AD?DD? ADD?AD8D?+D<<D?rc K|jjjdt|dd||dddi|td{} d |j cxkrd kr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | 7#t$r"t|j |j wxYww)a- Uploads a file or reference a webpage for the agent to use as part of it's knowledge base Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. name : str A name to help identify a particular agent secret secret_value : str A value to be encrypted and used by the agent request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddAgentSecretResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.add_agent_secret( agent_id="21m00Tcm4TlvDq8ikWAM", name="MY API KEY", secret_value="sk_api_12354abc", ) asyncio.run(main()) rlrr\rrbrcrNrArBrCrFrGrrs r3rz,AsyncConversationalAiClient.add_agent_secret s<\..;;CC 0 :;; G ,  2,D    Si++1c1{{/"9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNG  B Sy'<'<9>>R R Ss8AEDE ADEAD;E+D??Errrrc `K|jjjdd|||d|d{} d|jcxkrdkr:nn7t j t tt |jS|jd k(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a Returns a page of your agents and their metadata. Parameters ---------- cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. page_size : typing.Optional[int] How many Agents to return at maximum. Can not exceed 100, defaults to 30. search : typing.Optional[str] Search by agents name. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetAgentsPageResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_agents() asyncio.run(main()) rr=rr>NrArBrCrFrGrrs r3rz&AsyncConversationalAiClient.get_agents# s^..;;CC  &  ,D    Si++1c1{{."8 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNA  < Sy'<'<9>>R R Ss41D.C>D.ADD.AD'D.+D++D.rrc bK|jjjdd||||d|d{} d|jcxkrdkr:nn7t j t tt |jS|jd k(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a Get all conversations of agents that user owns. With option to restrict to a specific agent. Parameters ---------- cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. agent_id : typing.Optional[str] The id of the agent you're taking the action on. call_successful : typing.Optional[EvaluationSuccessResult] The result of the success evaluation page_size : typing.Optional[int] How many conversations to return at maximum. Can not exceed 100, defaults to 30. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConversationsPageResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_conversations( agent_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rr=rr>NrArBrCrFrGrrs r3rz-AsyncConversationalAiClient.get_conversationst s!j..;;CC % $#2&  ,D    Si++1c1{{5"? ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNC  > Sy'<'<9>>R R Ss42D/C?D/ADD/ AD(D/+D,,D/rc nK|jjjdt|d|d{} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a Get the details of a particular conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConversationResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_conversation( conversation_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rr=rmNrArBrCrFrGrrs r3rz,AsyncConversationalAiClient.get_conversation sL..;;CC&'7'H&I J+D   Si++1c1{{0": ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R Sr3c K|jjjdt|d|d{} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a  Delete a particular conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[typing.Any] Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.delete_conversation( conversation_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rrrrmNrArBrCrFrGrsrs r3rz/AsyncConversationalAiClient.delete_conversation 5L..;;CC&'7'H&I J+D   Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R Sr5c K|jjjdt|dd|d{} d|jcxkrdkry|jdk(r@t t jttt|j |j}t|j| 7#t$r"t|j|j wxYww) a Get the audio recording of a particular conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- None Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_conversation_audio( conversation_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rrr=rmNrArBrFrCrGrrs r3rz2AsyncConversationalAiClient.get_conversation_audioR sJ..;;CC&'7'H&I P+D   Si++1c12$$+.KK+&"5$-NN$4'^^-N9#8#8~NN+ & Sy'<'<9>>R R Ss49C>CC>CC>A C7C>+C;;C>rc K|jjjdt|ddd|iddi|td{} d |j cxkrd krpnnmt jt jt jtt jt j|j S|j d k(r@tt jttt|j |j}t|j | 7#t$r"t|j |j wxYww)a Send the feedback for the given conversation Parameters ---------- conversation_id : str The id of the conversation you're taking the action on. feedback : UserFeedbackScore Either 'like' or 'dislike' to indicate the feedback for the conversation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[typing.Any] Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.post_conversation_feedback( conversation_id="21m00Tcm4TlvDq8ikWAM", feedback="like", ) asyncio.run(main()) rrr\rrbrcrNrArBrCrFrGrrs r3rz6AsyncConversationalAiClient.post_conversation_feedback sU\..;;CC&'7'H&I SH 2,D    Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNE  @ Sy'<'<9>>R R Ss8AE8EE8 BE E8AE 0E8 +E55E8rrrrc tK|jjjdd||||ddddi|td{} d |jcxkrd kr:nn7t j ttt|j S|jd k(r@tt j ttt|j |j}t|j| 7#t$r"t|j|j wxYww)a Import Phone Number from Twilio configuration Parameters ---------- phone_number : str Phone number label : str Label for the phone number sid : str Twilio Account SID token : str Twilio Auth Token request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- CreatePhoneNumberResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.create_phone_number( phone_number="phone_number", label="label", sid="sid", token="token", ) asyncio.run(main()) rr\rrrbrcrNrArBrCrFrGrrs r3rz/AsyncConversationalAiClient.create_phone_number s5p..;;CC , ,$  2,D   Si++1c1{{2"< ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNM H Sy'<'<9>>R R Ss5;D8DD8AD D8AD 1D8 +D55D8rc nK|jjjdt|d|d{} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a  Retrieve Phone Number details by ID Parameters ---------- phone_number_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetPhoneNumberResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_phone_number( phone_number_id="TeaqRRdTcIfIu2i7BYfT", ) asyncio.run(main()) rr=rmNrArBrCrFrGrrs r3rz,AsyncConversationalAiClient.get_phone_number@ sL..;;CC&'7'H&I J+D   Si++1c1{{/"9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R Sr3c K|jjjdt|d|d{} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a Delete Phone Number by ID Parameters ---------- phone_number_id : str The id of an agent. This is returned on agent creation. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[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.delete_phone_number( phone_number_id="TeaqRRdTcIfIu2i7BYfT", ) asyncio.run(main()) rrrrmNrArBrCrFrGrsrs r3rz/AsyncConversationalAiClient.delete_phone_number r@r5rc K|jjjdt|dd|iddi|td{} d|j cxkrd kr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j | 7#t$r"t|j |j wxYww) a4 Update Phone Number details by ID Parameters ---------- phone_number_id : str The id of an agent. This is returned on agent creation. agent_id : typing.Optional[str] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetPhoneNumberResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.update_phone_number( phone_number_id="TeaqRRdTcIfIu2i7BYfT", ) asyncio.run(main()) rrzr9rbrcrNrArBrCrFrGrrs r3rz/AsyncConversationalAiClient.update_phone_number s9X..;;CC&'7'H&I JH 2,D    Si++1c1{{/"9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNE  @ Sy'<'<9>>R R Ss8AEDE ADEAD9E+D==Ec K|jjjdd|d{} d|jcxkrdkr\nnYt j tj tttj t|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) ag Retrieve all Phone Numbers Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.List[GetPhoneNumberResponseModel] Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_phone_numbers() asyncio.run(main()) rr=rmNrArBrCrFrGrrs r3rz-AsyncConversationalAiClient.get_phone_numberss!B..;;CC &+D   Si++1c1{{KK ;<"$kk*EF ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R Ss4,E DE A0D$E %ADE +EE rrrc dK|jjjdd|||||d|d{} d|jcxkrdkr:nn7t j t tt |jS|jd k(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) aM Get a list of available knowledge base documents Parameters ---------- 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. search : typing.Optional[str] If specified, the endpoint returns only such knowledge base documents whose names start with this string. show_only_owned_documents : typing.Optional[bool] If set to true, the endpoint will return only documents owned by you (and not shared from somebody else). use_typesense : typing.Optional[bool] If set to true, the endpoint will use typesense DB to search for the documents). request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetKnowledgeBaseListResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_knowledge_base_list() asyncio.run(main()) rr=rr>NrArBrCrFrGrrs r3rz3AsyncConversationalAiClient.get_knowledge_base_listTs%n..;;CC & & -F!. ,D    Si++1c1{{5"? ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNE  @ Sy'<'<9>>R R Ss43D0DD0AD D0 AD)D0+D--D0rrrc nK|jjjdd||dd|i|td{} d|jcxkrdkr:nn7t j ttt|j S|jd k(r@tt j ttt|j |j}t|j| 7#t$r"t|j|j wxYww) a Uploads a file or reference a webpage to use as part of the shared knowledge base Parameters ---------- name : typing.Optional[str] A custom, human-readable name for the document. url : typing.Optional[str] URL to a page of documentation that the agent will have access to in order to interact with users. file : typing.Optional[core.File] See core.File for more documentation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddKnowledgeBaseResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.add_to_knowledge_base() asyncio.run(main()) rr\rrrNrArBrCrFrGrrs r3rz1AsyncConversationalAiClient.add_to_knowledge_bases+^..;;CC & ,D    Si++1c1{{1"; ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNG  B Sy'<'<9>>R R Sr3rrrrc K|jjjdt|ddd|id|iddi|td {} d |j cxkrd kr:nn7t jttt|j S|j d k(r@tt jttt|j |j}t|j |7#t$r"t|j |jwxYww)ah In case the document is not RAG indexed, it triggers rag indexing task, otherwise it just returns the current status. Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. model : EmbeddingModelEnum force_reindex : typing.Optional[bool] In case the document is indexed and for some reason you want to reindex it, set this param as true. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- RagIndexResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.rag_index_status( documentation_id="21m00Tcm4TlvDq8ikWAM", model="e5_mistral_7b_instruct", ) asyncio.run(main()) rrr\rrrbrcrdNrArBrCrFrGrrs r3rz,AsyncConversationalAiClient.rag_index_statussHb..;;CC'(89I(J'K: V 2,D   Si++1c1{{)"3 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNK F Sy'<'<9>>R R Ss8AE D EADEAD=E+EEc nK|jjjdt|d|d{} d|jcxkrdkr:nn7t j ttt|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) ah Get details about a specific documentation making up the agent's knowledge base Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetKnowledgeBaseResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_knowledge_base_document_by_id( documentation_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rr=rmNrArBrCrFrGrrs r3rz=AsyncConversationalAiClient.get_knowledge_base_document_by_id[sL..;;CC'(89I(J'K L+D   Si++1c1{{1"; ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R Sr3c K|jjjdt|d|d{} d|jcxkrdkrpnnmt j t jt jtt jt j|jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) a= Delete a document from the knowledge base Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Optional[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.delete_knowledge_base_document( documentation_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rrrrmNrArBrCrFrGrsrs r3rz:AsyncConversationalAiClient.delete_knowledge_base_documents6L..;;CC'(89I(J'K L+D   Si++1c1{{OOFJJ/"$oofjj9 ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R Sr5rc xK|jjjdt|dd||d|d{} d|jcxkrdkr:nn7t j ttt|j S|jd k(r@tt j ttt|j |j}t|j| 7#t$r"t|j|j wxYww) aP Get a list of agents depending on this knowledge base document Parameters ---------- documentation_id : str The id of a document from the knowledge base. This is returned on document addition. cursor : typing.Optional[str] Used for fetching next page. Cursor is returned in the response. page_size : typing.Optional[int] How many documents to return at maximum. Can not exceed 100, defaults to 30. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetKnowledgeBaseDependentAgentsResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_dependent_agents( documentation_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) rrr=rr>NrArBrCrFrGrrs r3rz0AsyncConversationalAiClient.get_dependent_agentss,b..;;CC'(89I(J'KK\ ] &,D   Si++1c1{{@"J ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN? : Sy'<'<9>>R R Ss6=D:D D:AD D:AD 3D: +D77D:c VK|jjjdd|d{} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) ah Retrieve Convai settings for the workspace Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConvAiSettingsResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_settings() asyncio.run(main()) rr=rmNrArBrCrFrGrrs r3r z(AsyncConversationalAiClient.get_settings3s B..;;CC +D   Si++1c1{{2"< ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R S4,D)C9D)AC;D)AC;"D);+D&&D)r r r c K|jjjddt|tdt|t ddddi|t d {} d |jcxkrd kr:nn7tjttt|j S|jd k(r@ttjttt|j |j}t!|j|7#t$r"t!|j|j"wxYww)a  Update Convai settings for the workspace Parameters ---------- conversation_initiation_client_data_webhook : typing.Optional[ConversationInitiationClientDataWebhook] webhooks : typing.Optional[ConvAiWebhooks] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetConvAiSettingsResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.update_settings() asyncio.run(main()) rrzr]r^rrbrcrNrArBrCrFrGrrs r3rz+AsyncConversationalAiClient.update_settingsqsJR..;;CC ?fGF%@ D$7  2,#D  & Si++1c1{{2"< ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNS N Sy'<'<9>>R R Ss8AED%E AD'.E/AD'E'+EEc VK|jjjdd|d{} d|jcxkrdkr:nn7t j t tt |jS|jdk(r@tt j ttt|j|j}t|j| 7#t$r"t|j|j wxYww) ae Get all workspace secrets for the user Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- GetWorkspaceSecretsResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.get_secrets() asyncio.run(main()) rr=rmNrArBrCrFrGrrs r3rz'AsyncConversationalAiClient.get_secretss B..;;CC +D   Si++1c1{{4"> ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NN7 2 Sy'<'<9>>R R SrOrc pK|jjjdd||ddddi|td{} d |jcxkrd kr:nn7t j ttt|j S|jd k(r@tt j ttt|j |j}t|j| 7#t$r"t|j|j wxYww)a Create a new secret for the workspace Parameters ---------- name : str value : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- PostWorkspaceSecretResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.create_secret( name="name", value="value", ) asyncio.run(main()) rr\rrrbrcrNrArBrCrFrGrrs r3rz)AsyncConversationalAiClient.create_secrets/P..;;CC   2,D    Si++1c1{{4"> ) 0$$+.KK+&"5$-NN$4'^^-N9#8#8~NNI  D Sy'<'<9>>R R Sr9rc K|jjjdt|d|d{} d|jcxkrdkry|jdk(r@t t jttt|j|j}t|j| 7#t$r"t|j|j wxYww) a~ Delete a workspace secret if it's not in use Parameters ---------- secret_id : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- None Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.delete_secret( secret_id="secret_id", ) asyncio.run(main()) r!rrrmNrArBrFrCrGrr"s r3r#z)AsyncConversationalAiClient.delete_secretQsD..;;CC !1)!< = >+D   Si++1c12$$+.KK+&"5$-NN$4'^^-N9#8#8~NN+ & Sy'<'<9>>R R Ss48C=C C=CC=A C6C=+C::C=)Kr$r%r&r)r4r'rMrtrrrTrhr r(r rrjrrorurvr)r}rrrrrr*rrrrr+rrrrrrrrrrrrrrrrrrrrrrrr r!rr"rrr#rr$r r%r&rr'rr(rr#r,r6r3r.r.as .*<.TXDODO171PDO +DOT/3PT%);?`O:`Oood+ `O "??+LM `O ooc" `O 8`O "`OFTXAOAO171PAO AOHTXAOAO171PAO  $AON/3^b\`%);?`O`Oood+ `O $__V[[foofjj>Y9Y-Z[ `O "??6;;sFOOFJJ8WAO %AOH[_AO"AO8>8WAO  $AOH[_:O":O8>8W:O :OB<@ POPO$ PO  8 PO  $ POr<@^O^O ^O  ^O  ^O 8^O (^OB[_AO"AO8>8WAO $AOH[_AO"AO8>8WAO  $AON*.;? NONO//#& NO  8 NO % NObEI<O"(//."A<O 0 1<OB(,*.'+;?/3;?YO$YO??3' YO $ YO $*??4#8 YOt,YO 8YO +YO|&*$(+/;? ROooc"RO__S ! RO oodii( RO  8 RO 'ROr04;? VOVO" VO t, VO  8 VO VOr\`AO #AO9?9XAO &AOH\`AO #AO9?9XAO  $AON(,*.;? POPO$ PO ??3' PO  8 PO 6POfEI<O"(//."A<O '<OBqu48;? RO6<__El5mRO//.1 RO  8 RO ( ROjEI<O"(//."A<O )<O~\`LOLO#&LO9?9XLO )LO\im7OS7OfooVdFe7Oqu7Or6r.)QrMcore.client_wrapperrcore.request_optionsr,types.conversation_signed_url_response_modelrcore.unchecked_base_modelr!errors.unprocessable_entity_errorrtypes.http_validation_errorr json.decoderr core.api_errorr %types.conversational_config_api_modelr +types.agent_platform_settings_request_modelr !types.create_agent_response_modelrcore.serializationrtypes.get_agent_response_modelrcore.jsonable_encoderr$types.get_agent_embed_response_modelr#types.get_agent_link_response_modelrr&types.post_agent_avatar_response_modelr%types.add_agent_secret_response_modelr$types.get_agents_page_response_modelrtypes.evaluation_success_resultr+types.get_conversations_page_response_modelr%types.get_conversation_response_modelrtypes.user_feedback_scorer(types.create_phone_number_response_modelr%types.get_phone_number_response_modelr,types.get_knowledge_base_list_response_modelr'types.add_knowledge_base_response_modelrtypes.embedding_model_enumr types.rag_index_response_modelr!'types.get_knowledge_base_response_modelr"8types.get_knowledge_base_dependent_agents_response_modelr#)types.get_conv_ai_settings_response_modelr$1types.conversation_initiation_client_data_webhookr%types.conv_ai_webhooksr&*types.get_workspace_secrets_response_modelr'*types.post_workspace_secret_response_modelr(r)rNrurhr+r.r,r6r3rys31]6H=(%P[HHB4MKQOME[P9UO\S;BSsVg3YY4v{{6::s#o Oo OdAg$Og$Or6