abacusai.hosted_artifact ======================== .. py:module:: abacusai.hosted_artifact Classes ------- .. autoapisummary:: abacusai.hosted_artifact.HostedArtifact Module Contents --------------- .. py:class:: HostedArtifact(client, hostnames=None, artifactType=None, llmArtifactId=None, lifecycle=None, externalApplicationId=None, deploymentConversationId=None, conversationSequenceNumber=None, accessLevel=None, isThrottled=None) Bases: :py:obj:`abacusai.return_class.AbstractApiClass` A hosted artifact being served by the platform. :param client: An authenticated API Client instance :type client: ApiClient :param hostnames: The urls at which the application is being hosted. :type hostnames: list :param artifactType: The type of artifact being hosted. :type artifactType: str :param llmArtifactId: The artifact id being hosted. :type llmArtifactId: str :param lifecycle: The lifecycle of the artifact. :type lifecycle: str :param externalApplicationId: Agent that deployed this application. :type externalApplicationId: str :param deploymentConversationId: Conversation that created deployed this artifact, null if not applicable. :type deploymentConversationId: str :param conversationSequenceNumber: Conversation event associated with this artifact, null if not applicable. :type conversationSequenceNumber: number(integer) :param accessLevel: The access level of the hosted artifact (PUBLIC, PRIVATE, OWNER_ONLY, DEDICATED). :type accessLevel: str :param isThrottled: Whether the artifact has been temporarily suspended due to high resource usage. :type isThrottled: bool .. py:attribute:: hostnames :value: None .. py:attribute:: artifact_type :value: None .. py:attribute:: llm_artifact_id :value: None .. py:attribute:: lifecycle :value: None .. py:attribute:: external_application_id :value: None .. py:attribute:: deployment_conversation_id :value: None .. py:attribute:: conversation_sequence_number :value: None .. py:attribute:: access_level :value: None .. py:attribute:: is_throttled :value: None .. py:attribute:: deprecated_keys .. py:method:: __repr__() .. py:method:: to_dict() Get a dict representation of the parameters in this class :returns: The dict value representation of the class parameters :rtype: dict