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diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py
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+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py
@@ -0,0 +1,116 @@
+# coding: utf-8
+
+"""
+ Hatchet API
+
+ The Hatchet API
+
+ The version of the OpenAPI document: 1.0.0
+ Generated by OpenAPI Generator (https://openapi-generator.tech)
+
+ Do not edit the class manually.
+""" # noqa: E501
+
+
+from __future__ import annotations
+
+import json
+import pprint
+import re # noqa: F401
+from typing import Any, ClassVar, Dict, List, Optional, Set
+
+from pydantic import BaseModel, ConfigDict, Field, StrictInt
+from typing_extensions import Self
+
+from hatchet_sdk.clients.rest.models.queue_metrics import QueueMetrics
+
+
+class TenantQueueMetrics(BaseModel):
+ """
+ TenantQueueMetrics
+ """ # noqa: E501
+
+ total: Optional[QueueMetrics] = Field(
+ default=None, description="The total queue metrics."
+ )
+ workflow: Optional[Dict[str, QueueMetrics]] = None
+ queues: Optional[Dict[str, StrictInt]] = None
+ __properties: ClassVar[List[str]] = ["total", "workflow", "queues"]
+
+ model_config = ConfigDict(
+ populate_by_name=True,
+ validate_assignment=True,
+ protected_namespaces=(),
+ )
+
+ def to_str(self) -> str:
+ """Returns the string representation of the model using alias"""
+ return pprint.pformat(self.model_dump(by_alias=True))
+
+ def to_json(self) -> str:
+ """Returns the JSON representation of the model using alias"""
+ # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
+ return json.dumps(self.to_dict())
+
+ @classmethod
+ def from_json(cls, json_str: str) -> Optional[Self]:
+ """Create an instance of TenantQueueMetrics from a JSON string"""
+ return cls.from_dict(json.loads(json_str))
+
+ def to_dict(self) -> Dict[str, Any]:
+ """Return the dictionary representation of the model using alias.
+
+ This has the following differences from calling pydantic's
+ `self.model_dump(by_alias=True)`:
+
+ * `None` is only added to the output dict for nullable fields that
+ were set at model initialization. Other fields with value `None`
+ are ignored.
+ """
+ excluded_fields: Set[str] = set([])
+
+ _dict = self.model_dump(
+ by_alias=True,
+ exclude=excluded_fields,
+ exclude_none=True,
+ )
+ # override the default output from pydantic by calling `to_dict()` of total
+ if self.total:
+ _dict["total"] = self.total.to_dict()
+ # override the default output from pydantic by calling `to_dict()` of each value in workflow (dict)
+ _field_dict = {}
+ if self.workflow:
+ for _key_workflow in self.workflow:
+ if self.workflow[_key_workflow]:
+ _field_dict[_key_workflow] = self.workflow[_key_workflow].to_dict()
+ _dict["workflow"] = _field_dict
+ return _dict
+
+ @classmethod
+ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
+ """Create an instance of TenantQueueMetrics from a dict"""
+ if obj is None:
+ return None
+
+ if not isinstance(obj, dict):
+ return cls.model_validate(obj)
+
+ _obj = cls.model_validate(
+ {
+ "total": (
+ QueueMetrics.from_dict(obj["total"])
+ if obj.get("total") is not None
+ else None
+ ),
+ "workflow": (
+ dict(
+ (_k, QueueMetrics.from_dict(_v))
+ for _k, _v in obj["workflow"].items()
+ )
+ if obj.get("workflow") is not None
+ else None
+ ),
+ "queues": obj.get("queues"),
+ }
+ )
+ return _obj