b6iIddlZddlmZmZddlmZddlmZddlm Z ddl m Z ddl m Z dd lmZd d lmZmZej&ej(d ZGd dZGddZy)N)AsyncClientWrapperSyncClientWrapper)RequestOptions)AgentBranchResponse)AgentWorkflowRequestModel)BranchProtectionStatus)CreateAgentBranchResponseModel)ListResponseAgentBranchSummary)AsyncRawBranchesClientRawBranchesClient.ceZdZdefdZedefdZdddddede je d e je d e je def d Zeeedd ded ededede je j"ee j$fde je j"ee j$fde jed e je defdZdddeded e je defdZeeedddedede jede je de jed e je defdZedddededede je d e je de j$f dZy) BranchesClientclient_wrapperc&t||_yN)r)r _raw_clientselfrs ~/root/.openclaw/workspace/visionaryfx/venv/lib/python3.12/site-packages/elevenlabs/conversational_ai/agents/branches/client.py__init__zBranchesClient.__init__s,NKreturnc|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- RawBranchesClient rrs rwith_raw_responsez BranchesClient.with_raw_responserNinclude_archivedlimitrequest_optionsagent_idr!r"r#cX|jj||||}|jS)a Returns a list of branches an agent has Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. include_archived : typing.Optional[bool] Whether archived branches should be included limit : typing.Optional[int] How many results at most should be returned request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ListResponseAgentBranchSummary Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.agents.branches.list( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", include_archived=True, limit=1, ) r rlistdatarr$r!r"r# _responses rr'zBranchesClient.list!s7V$$)) '7uVe* ~~rconversation_configplatform_settingsworkflowr#parent_version_idname descriptionr,r-r.c `|jj||||||||} | jS)al Create a new branch from a given version of main branch Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. parent_version_id : str ID of the version to branch from name : str Name of the branch. It is unique within the agent. description : str Description for the branch conversation_config : typing.Optional[typing.Dict[str, typing.Any]] Changes to apply to conversation config platform_settings : typing.Optional[typing.Dict[str, typing.Any]] Changes to apply to platform settings workflow : typing.Optional[AgentWorkflowRequestModel] Updated workflow definition request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- CreateAgentBranchResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.agents.branches.create( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", parent_version_id="parent_version_id", name="name", description="description", ) r/r0r1r,r-r.r#rcreater( rr$r/r0r1r,r-r.r#r*s rr5zBranchesClient.createQsDx$$++ /# 3/+,  ~~rr# branch_idcV|jj|||}|jS)a Get information about a single agent branch Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str Unique identifier for the branch. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AgentBranchResponse Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.agents.branches.get( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbranch_0901k4aafjxxfxt93gd841r7tv5t", ) r7rgetr(rr$r8r#r*s rr;zBranchesClient.gets,D$$((9o(^ ~~rr0 is_archivedprotection_statusr#r>r?c\|jj||||||}|jS)a Update agent branch properties such as archiving status and protection level Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str Unique identifier for the branch. name : typing.Optional[str] New name for the branch. Must be unique within the agent. is_archived : typing.Optional[bool] Whether the branch should be archived protection_status : typing.Optional[BranchProtectionStatus] The protection level for the branch request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AgentBranchResponse Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.conversational_ai.agents.branches.update( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbranch_0901k4aafjxxfxt93gd841r7tv5t", ) r=rupdater(rr$r8r0r>r?r#r*s rrBzBranchesClient.updates>d$$++  #/+ , ~~rarchive_source_branchr#source_branch_idtarget_branch_idrEcZ|jj|||||}|jS)a\ Merge a branch into a target branch Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. source_branch_id : str Unique identifier for the source branch to merge from. target_branch_id : str The ID of the target branch to merge into (must be the main branch). archive_source_branch : typing.Optional[bool] Whether to archive the source branch after merging 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.branches.merge( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", source_branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", target_branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", ) rGrEr#rmerger(rr$rFrGrEr#r*s rrKzBranchesClient.merges;^$$**  -"7+ + ~~r)__name__ __module__ __qualname__rrpropertyrrstrtypingOptionalboolintrr r'OMITDictAnyrr r5rr;r rBrKrrrrsYL*;L #4  37&*;? ..!//$/ . s# .  8 . (.nNRKO?C;?FF F  F  F$__V[[fjj-IJF"??6;;sFJJ+GHF//";<F 8F (FRdh##(+#AGQ_A`# #T&*-1EI;?::: ooc" : __T* :"??+AB: 8: :D8<;?666  6 &t4 6 86 6rrceZdZdefdZedefdZdddddede je d e je d e je def d Zeeedd ded ededede je j"ee j$fde je j"ee j$fde jed e je defdZdddeded e je defdZeeedddedede jede je de jed e je defdZedddededede je d e je de j$f dZy) AsyncBranchesClientrc&t||_yr)r rrs rrzAsyncBranchesClient.__init__4s1Prrc|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- AsyncRawBranchesClient rrs rrz%AsyncBranchesClient.with_raw_response7rrNr r$r!r"r#ctK|jj||||d{}|jS7w)a Returns a list of branches an agent has Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. include_archived : typing.Optional[bool] Whether archived branches should be included limit : typing.Optional[int] How many results at most should be returned request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- ListResponseAgentBranchSummary 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.branches.list( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", include_archived=True, limit=1, ) asyncio.run(main()) r Nr&r)s rr'zAsyncBranchesClient.listBsEf**// '7uVe0  ~~ s #868r+r/r0r1r,r-r.c |K|jj||||||||d{} | jS7w)a Create a new branch from a given version of main branch Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. parent_version_id : str ID of the version to branch from name : str Name of the branch. It is unique within the agent. description : str Description for the branch conversation_config : typing.Optional[typing.Dict[str, typing.Any]] Changes to apply to conversation config platform_settings : typing.Optional[typing.Dict[str, typing.Any]] Changes to apply to platform settings workflow : typing.Optional[AgentWorkflowRequestModel] Updated workflow definition request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- CreateAgentBranchResponseModel 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.branches.create( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", parent_version_id="parent_version_id", name="name", description="description", ) asyncio.run(main()) r3Nr4r6s rr5zAsyncBranchesClient.createzsRH**11 /# 3/+2   ~~  s '<:<r7r8crK|jj|||d{}|jS7w)a Get information about a single agent branch Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str Unique identifier for the branch. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AgentBranchResponse 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.branches.get( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbranch_0901k4aafjxxfxt93gd841r7tv5t", ) asyncio.run(main()) r7Nr:r<s rr;zAsyncBranchesClient.gets:T**..xTc.dd ~~es "757r=r>r?cxK|jj||||||d{}|jS7w)a Update agent branch properties such as archiving status and protection level Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. branch_id : str Unique identifier for the branch. name : typing.Optional[str] New name for the branch. Must be unique within the agent. is_archived : typing.Optional[bool] Whether the branch should be archived protection_status : typing.Optional[BranchProtectionStatus] The protection level for the branch request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AgentBranchResponse 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.branches.update( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", branch_id="agtbranch_0901k4aafjxxfxt93gd841r7tv5t", ) asyncio.run(main()) r=NrArCs rrBzAsyncBranchesClient.updatesLt**11  #/+ 2  ~~ s %:8:rDrFrGrEcvK|jj|||||d{}|jS7w)a Merge a branch into a target branch Parameters ---------- agent_id : str The id of an agent. This is returned on agent creation. source_branch_id : str Unique identifier for the source branch to merge from. target_branch_id : str The ID of the target branch to merge into (must be the main branch). archive_source_branch : typing.Optional[bool] Whether to archive the source branch after merging 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.branches.merge( agent_id="agent_3701k3ttaq12ewp8b7qv5rfyszkz", source_branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", target_branch_id="agtbrch_8901k4t9z5defmb8vh3e9361y7nj", ) asyncio.run(main()) rINrJrLs rrKzAsyncBranchesClient.merge;sIn**00  -"7+ 1  ~~ s $979)rMrNrOrrrPr rrQrRrSrTrUrr r'rVrWrXrr r5rr;r rBrKrYrrr[r[3saQ*<Q #9  37&*;? 66!//$/ 6 s# 6  8 6 (6~NRKO?C;?NN N  N  N$__V[[fjj-IJN"??6;;sFJJ+GHN//";<N 8N (Nbdh++(++AGQ_A`+ +d&*-1EI;?BBB ooc" B __T* B"??+ABB 8B BT8<;?>>>  > &t4 > 8> >rr[)rRcore.client_wrapperrrcore.request_optionsrtypes.agent_branch_responser"types.agent_workflow_request_modelrtypes.branch_protection_statusr (types.create_agent_branch_response_modelr (types.list_response_agent_branch_summaryr raw_clientr rcastrXrVrr[rYrrrlsSI3?LEWWAv{{6::s#^^B FFr