LUM-712: Updated e2e test

.gitignore

@@ -12,7 +12,7 @@ build/
 .idea/
 .vscode/
 
-# This is the repopack genared file that
+# This is the repomix genared file that
 # contains the whole repo content for
 # submitting to AIs, like Claude
 lumino-sdk-python.txt

repopack.config.json → repomix.config.json

@@ -8,9 +8,11 @@
     "showLineNumbers": false,
     "topFilesLength": 0
   },
-  "include": ["**/*"],
+  "include": [
+    "**/*"
+  ],
   "ignore": {
     "useGitignore": true,
     "useDefaultPatterns": true
   }
-}
+}

src/lumino/fine_tuning.py

@@ -102,3 +102,17 @@ async def cancel_fine_tuning_job(self, job_name: str) -> FineTuningJobDetailResp
         self.logger.info("Cancelling fine-tuning job: %s", job_name)
         data = await self._sdk._request("POST", f"/fine-tuning/{job_name}/cancel")
         return FineTuningJobDetailResponse(**data)
+
+    async def delete_fine_tuning_job(self, job_name: str) -> None:
+        """
+        Delete a fine-tuning job.
+
+        Args:
+            job_name (str): The name of the fine-tuning job to delete.
+
+        Raises:
+            LuminoAPIError: If the API request fails.
+        """
+        self.logger.info("Deleting fine-tuning job: %s", job_name)
+        await self._sdk._request("DELETE", f"/fine-tuning/{job_name}")
+        self.logger.info("Deleted fine-tuning job: %s", job_name)

src/lumino/models.py

@@ -39,6 +39,7 @@ class FineTuningJobStatus(str, Enum):
     STOPPED = "STOPPED"  # Job has been stopped by the user or system
     COMPLETED = "COMPLETED"  # Job has completed successfully
     FAILED = "FAILED"  # Job has failed to complete
+    DELETED = "DELETED"  # Job has been marked as deleted
 
 
 class FineTuningJobType(str, Enum):
@@ -79,16 +80,24 @@ class BillingTransactionType(str, Enum):
     STRIPE_CHECKOUT = "STRIPE_CHECKOUT"
 
 
-# Enumeration for compute providers
+class FineTunedModelStatus(str, Enum):
+    """Enum of possible fine-tuned model statuses."""
+    ACTIVE = "ACTIVE"
+    DELETED = "DELETED"
+
+
 class ComputeProvider(str, Enum):
+    """Enum of possible compute providers."""
     GCP = "GCP"
     LUM = "LUM"
 
 
 class BaseModel(_BaseModel):
     """Base model for all models."""
+
     def __repr__(self):
         return self.__str__()
+
     def __str__(self):
         return self.model_dump_json(indent=2)
 
@@ -269,7 +278,8 @@ class FineTuningJobDetailResponse(FineTuningJobResponse):
     """
     parameters: Dict[str, Any] = Field(..., description="The parameters used for the fine-tuning job")
     metrics: Dict[str, Any] | None = Field(None, description="The metrics collected during the fine-tuning process")
-    timestamps: Dict[str, Any] | None = Field(None, description="The timestamps recorded during the fine-tuning process")
+    timestamps: Dict[str, Any] | None = Field(None,
+                                              description="The timestamps recorded during the fine-tuning process")
     model_config = ConfigDict(from_attributes=True)
 
 
@@ -292,9 +302,12 @@ class FineTunedModelResponse(BaseModel):
     """
     id: UUID = Field(..., description="The unique identifier of the fine-tuned model")
     created_at: DateTime = Field(..., description="The timestamp when the fine-tuned model was created")
+    updated_at: DateTime = Field(..., description="The timestamp when the fine-tuned model was last updated")
     fine_tuning_job_name: str = Field(..., description="The name of the associated fine-tuning job")
+    status: FineTunedModelStatus = Field(..., description="The current status of the fine-tuned model")
     name: str = Field(..., description="The name of the fine-tuned model")
-    artifacts: Dict[str, Any] | None = Field(None, description="Additional artifacts associated with the fine-tuned model")
+    artifacts: Dict[str, Any] | None = Field(None,
+                                             description="Additional artifacts associated with the fine-tuned model")
     model_config = ConfigDict(from_attributes=True)