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PluginStatusResponse

Response model for plugin deployment status. Status values: - QUEUED: Plugin is waiting in the deployment queue - PENDING: Deployment triggered, waiting for Anyscale to start - IN_PROGRESS: Blue-green deployment in progress - DEPLOYED: Plugin successfully deployed and ready - FAILED: Deployment failed - NOT_DEPLOYED: Plugin not deployed for realtime inference

Properties

Name Type Description Notes
plugin_id str Plugin identifier
namespace_id str Namespace ID
status str Deployment status (QUEUED, PENDING, IN_PROGRESS, DEPLOYED, FAILED, NOT_DEPLOYED)
name str Plugin name [optional]
version str Plugin version [optional]
realtime_enabled bool Whether realtime inference is enabled [optional] [default to False]
message str Human-readable status message [optional]
queued_at str When plugin was queued (ISO format) [optional]
estimated_completion_seconds int Estimated time to deployment completion in seconds [optional]
deployed bool Whether plugin is deployed [optional]
route_prefix str HTTP route prefix for realtime inference [optional]
feature_uri str Feature URI for using the plugin [optional]
deployed_at str When plugin was deployed (ISO format) [optional]
error str Error message if deployment failed [optional]

Example

from mixpeek.models.plugin_status_response import PluginStatusResponse

# TODO update the JSON string below
json = "{}"
# create an instance of PluginStatusResponse from a JSON string
plugin_status_response_instance = PluginStatusResponse.from_json(json)
# print the JSON string representation of the object
print(PluginStatusResponse.to_json())

# convert the object into a dict
plugin_status_response_dict = plugin_status_response_instance.to_dict()
# create an instance of PluginStatusResponse from a dict
plugin_status_response_from_dict = PluginStatusResponse.from_dict(plugin_status_response_dict)

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