b6iUddlZddlmZmZddlmZddlmZddlm Z m Z ejejdZ Gd d ZGd d Zy) N)AsyncClientWrapperSyncClientWrapper)RequestOptions)AgentWorkflowRequestModel)AsyncRawDraftsClientRawDraftsClient.cteZdZdefdZedefdZeddde de d e je e jfd e je e jfd e d e d e je je de jede jfdZddde de de jede jfdZy) DraftsClientclient_wrapperc&t||_yN)r )r _raw_clientselfr s |/root/.openclaw/workspace/visionaryfx/venv/lib/python3.12/site-packages/elevenlabs/conversational_ai/agents/drafts/client.py__init__zDraftsClient.__init__s*.Ireturnc|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- RawDraftsClient rrs rwith_raw_responsezDraftsClient.with_raw_responserNtagsrequest_optionsagent_id branch_idconversation_configplatform_settingsworkflownamerrc `|jj||||||||} | jS)a Create a new draft for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str The ID of the agent branch to use conversation_config : typing.Dict[str, typing.Any] Conversation config for the draft platform_settings : typing.Dict[str, typing.Any] Platform settings for the draft workflow : AgentWorkflowRequestModel Workflow for the draft name : str Name for the draft tags : typing.Optional[typing.Sequence[str]] Tags to help classify and filter the agent request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Any Successful Response Examples -------- from elevenlabs import ( AgentWorkflowRequestModel, AgentWorkflowRequestModelNodesValue_End, AstAndOperatorNodeInputChildrenItem_BooleanLiteral, ElevenLabs, WorkflowEdgeModelInput, WorkflowEdgeModelInputForwardCondition_Expression, WorkflowExpressionConditionModelInputExpression_AndOperator, ) client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.agents.drafts.create( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", conversation_config={"key": "value"}, platform_settings={"key": "value"}, workflow=AgentWorkflowRequestModel( edges={ "entry_to_tool_a": WorkflowEdgeModelInput( source="entry_node", target="tool_node_a", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "start_to_entry": WorkflowEdgeModelInput( source="start_node", target="entry_node", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_a_to_failure": WorkflowEdgeModelInput( source="tool_node_a", target="failure_node", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_a_to_tool_b": WorkflowEdgeModelInput( source="tool_node_a", target="tool_node_b", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_agent_transfer": WorkflowEdgeModelInput( source="tool_node_b", target="success_transfer", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_conversation": WorkflowEdgeModelInput( source="tool_node_b", target="success_conversation", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_end": WorkflowEdgeModelInput( source="tool_node_b", target="success_end", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_phone": WorkflowEdgeModelInput( source="tool_node_b", target="success_phone", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), }, nodes={ "entry_node": AgentWorkflowRequestModelNodesValue_End(), "failure_node": AgentWorkflowRequestModelNodesValue_End(), "start_node": AgentWorkflowRequestModelNodesValue_End(), "success_conversation": AgentWorkflowRequestModelNodesValue_End(), "success_end": AgentWorkflowRequestModelNodesValue_End(), "success_phone": AgentWorkflowRequestModelNodesValue_End(), "success_transfer": AgentWorkflowRequestModelNodesValue_End(), "tool_node_a": AgentWorkflowRequestModelNodesValue_End(), "tool_node_b": AgentWorkflowRequestModelNodesValue_End(), }, ), name="name", ) r r!r"r#r$rrrcreatedata rrr r!r"r#r$rr _responses rr(zDraftsClient.createsDx$$++  3/+,  ~~rrcV|jj|||}|jS)a Delete a draft for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str The ID of the agent branch to use request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Any Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.agents.drafts.delete( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", ) r rrdeleter)rrr rr+s rr0zDraftsClient.deletes-D$$++H [j+k ~~r)__name__ __module__ __qualname__rrpropertyr rOMITstrtypingDictAnyrOptionalSequencerr(r0rrr r sJ*;J ?  &7;;?FF F $[[fjj9 F ";;sFJJ7 F,FFoofooc23F 8F FRdh##+.#AGQ_A`# #rr cteZdZdefdZedefdZeddde de d e je e jfd e je e jfd e d e d e je je de jede jfdZddde de de jede jfdZy)AsyncDraftsClientr c&t||_yr)r rrs rrzAsyncDraftsClient.__init__ s/~Nrrc|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- AsyncRawDraftsClient rrs rrz#AsyncDraftsClient.with_raw_responserrNrrr r!r"r#r$rrc |K|jj||||||||d{} | jS7w)a! Create a new draft for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str The ID of the agent branch to use conversation_config : typing.Dict[str, typing.Any] Conversation config for the draft platform_settings : typing.Dict[str, typing.Any] Platform settings for the draft workflow : AgentWorkflowRequestModel Workflow for the draft name : str Name for the draft tags : typing.Optional[typing.Sequence[str]] Tags to help classify and filter the agent request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Any Successful Response Examples -------- import asyncio from elevenlabs import ( AgentWorkflowRequestModel, AgentWorkflowRequestModelNodesValue_End, AstAndOperatorNodeInputChildrenItem_BooleanLiteral, AsyncElevenLabs, WorkflowEdgeModelInput, WorkflowEdgeModelInputForwardCondition_Expression, WorkflowExpressionConditionModelInputExpression_AndOperator, ) client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.conversational_ai.agents.drafts.create( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", conversation_config={"key": "value"}, platform_settings={"key": "value"}, workflow=AgentWorkflowRequestModel( edges={ "entry_to_tool_a": WorkflowEdgeModelInput( source="entry_node", target="tool_node_a", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "start_to_entry": WorkflowEdgeModelInput( source="start_node", target="entry_node", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_a_to_failure": WorkflowEdgeModelInput( source="tool_node_a", target="failure_node", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_a_to_tool_b": WorkflowEdgeModelInput( source="tool_node_a", target="tool_node_b", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_agent_transfer": WorkflowEdgeModelInput( source="tool_node_b", target="success_transfer", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_conversation": WorkflowEdgeModelInput( source="tool_node_b", target="success_conversation", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_end": WorkflowEdgeModelInput( source="tool_node_b", target="success_end", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), "tool_b_to_phone": WorkflowEdgeModelInput( source="tool_node_b", target="success_phone", forward_condition=WorkflowEdgeModelInputForwardCondition_Expression( expression=WorkflowExpressionConditionModelInputExpression_AndOperator( children=[ AstAndOperatorNodeInputChildrenItem_BooleanLiteral( value=True, ) ], ), ), ), }, nodes={ "entry_node": AgentWorkflowRequestModelNodesValue_End(), "failure_node": AgentWorkflowRequestModelNodesValue_End(), "start_node": AgentWorkflowRequestModelNodesValue_End(), "success_conversation": AgentWorkflowRequestModelNodesValue_End(), "success_end": AgentWorkflowRequestModelNodesValue_End(), "success_phone": AgentWorkflowRequestModelNodesValue_End(), "success_transfer": AgentWorkflowRequestModelNodesValue_End(), "tool_node_a": AgentWorkflowRequestModelNodesValue_End(), "tool_node_b": AgentWorkflowRequestModelNodesValue_End(), }, ), name="name", ) asyncio.run(main()) r&Nr'r*s rr(zAsyncDraftsClient.createsRH**11  3/+2   ~~  s '<:<r,crK|jj|||d{}|jS7w)a~ Delete a draft for an agent Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str The ID of the agent branch to use 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.agents.drafts.delete( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", ) asyncio.run(main()) r.Nr/r1s rr0zAsyncDraftsClient.deletes:T**11(iap1qq ~~rs "757)r2r3r4rrr5r rr6r7r8r9r:rr;r<rr(r0r=rrr?r? sO*<O #7  &7;;?NN N $[[fjj9 N ";;sFJJ7 N,NNoofooc23N 8N Nbdh+++.+AGQ_A`+ +rr?)r8core.client_wrapperrrcore.request_optionsr"types.agent_workflow_request_modelr raw_clientr r castr:r6r r?r=rrrIsGI3L=v{{6::s#zzzJJr