feat:Add PATCH for model metadata; add total_time; update GET descriptions

src/libs/Replicate/Generated/Replicate.IReplicateApi.ModelsUpdate.g.cs

@@ -0,0 +1,111 @@
+#nullable enable
+
+namespace Replicate
+{
+    public partial interface IReplicateApi
+    {
+        /// <summary>
+        /// Update metadata for a model<br/>
+        /// Update select properties of an existing model.<br/>
+        /// You can update the following properties:<br/>
+        ///   - `description` - Model description<br/>
+        ///   - `readme` - Model README content<br/>
+        ///   - `github_url` - GitHub repository URL<br/>
+        ///   - `paper_url` - Research paper URL<br/>
+        ///   - `weights_url` - Model weights URL<br/>
+        ///   - `license_url` - License URL<br/>
+        /// Example cURL request:<br/>
+        /// ```console<br/>
+        /// curl -X PATCH \<br/>
+        ///   https://api.replicate.com/v1/models/your-username/your-model-name \<br/>
+        ///   -H "Authorization: Token $REPLICATE_API_TOKEN" \<br/>
+        ///   -H "Content-Type: application/json" \<br/>
+        ///   -d '{<br/>
+        ///     "description": "Detect hot dogs in images",<br/>
+        ///     "readme": "# Hot Dog Detector\n\n🌭 Ketchup, mustard, and onions...",<br/>
+        ///     "github_url": "https://github.com/alice/hot-dog-detector",<br/>
+        ///     "paper_url": "https://arxiv.org/abs/2504.17639",<br/>
+        ///     "weights_url": "https://huggingface.co/alice/hot-dog-detector",<br/>
+        ///     "license_url": "https://choosealicense.com/licenses/mit/"<br/>
+        ///   }'<br/>
+        /// ```<br/>
+        /// The response will be the updated model object with all of its properties.
+        /// </summary>
+        /// <param name="modelOwner"></param>
+        /// <param name="modelName"></param>
+        /// <param name="request"></param>
+        /// <param name="cancellationToken">The token to cancel the operation with</param>
+        /// <exception cref="global::Replicate.ApiException"></exception>
+        global::System.Threading.Tasks.Task<global::Replicate.SchemasModelResponse> ModelsUpdateAsync(
+            string modelOwner,
+            string modelName,
+            global::Replicate.ModelsUpdateRequest request,
+            global::System.Threading.CancellationToken cancellationToken = default);
+
+        /// <summary>
+        /// Update metadata for a model<br/>
+        /// Update select properties of an existing model.<br/>
+        /// You can update the following properties:<br/>
+        ///   - `description` - Model description<br/>
+        ///   - `readme` - Model README content<br/>
+        ///   - `github_url` - GitHub repository URL<br/>
+        ///   - `paper_url` - Research paper URL<br/>
+        ///   - `weights_url` - Model weights URL<br/>
+        ///   - `license_url` - License URL<br/>
+        /// Example cURL request:<br/>
+        /// ```console<br/>
+        /// curl -X PATCH \<br/>
+        ///   https://api.replicate.com/v1/models/your-username/your-model-name \<br/>
+        ///   -H "Authorization: Token $REPLICATE_API_TOKEN" \<br/>
+        ///   -H "Content-Type: application/json" \<br/>
+        ///   -d '{<br/>
+        ///     "description": "Detect hot dogs in images",<br/>
+        ///     "readme": "# Hot Dog Detector\n\n🌭 Ketchup, mustard, and onions...",<br/>
+        ///     "github_url": "https://github.com/alice/hot-dog-detector",<br/>
+        ///     "paper_url": "https://arxiv.org/abs/2504.17639",<br/>
+        ///     "weights_url": "https://huggingface.co/alice/hot-dog-detector",<br/>
+        ///     "license_url": "https://choosealicense.com/licenses/mit/"<br/>
+        ///   }'<br/>
+        /// ```<br/>
+        /// The response will be the updated model object with all of its properties.
+        /// </summary>
+        /// <param name="modelOwner"></param>
+        /// <param name="modelName"></param>
+        /// <param name="description">
+        /// A description of the model.<br/>
+        /// Example: Detect hot dogs in images
+        /// </param>
+        /// <param name="githubUrl">
+        /// A URL for the model's source code on GitHub.<br/>
+        /// Example: https://github.com/alice/hot-dog-detector
+        /// </param>
+        /// <param name="licenseUrl">
+        /// A URL for the model's license.
+        /// </param>
+        /// <param name="paperUrl">
+        /// A URL for the model's paper.<br/>
+        /// Example: https://arxiv.org/abs/2504.17639
+        /// </param>
+        /// <param name="readme">
+        /// The README content of the model.<br/>
+        /// Example: # Updated README<br/>
+        /// New content here
+        /// </param>
+        /// <param name="weightsUrl">
+        /// A URL for the model's weights.<br/>
+        /// Example: https://huggingface.co/alice/hot-dog-detector
+        /// </param>
+        /// <param name="cancellationToken">The token to cancel the operation with</param>
+        /// <exception cref="global::System.InvalidOperationException"></exception>
+        global::System.Threading.Tasks.Task<global::Replicate.SchemasModelResponse> ModelsUpdateAsync(
+            string modelOwner,
+            string modelName,
+            string? description = default,
+            string? githubUrl = default,
+            string? licenseUrl = default,
+            string? paperUrl = default,
+            string? readme = default,
+            string? weightsUrl = default,
+            global::System.Threading.CancellationToken cancellationToken = default);
+    }
+}

src/libs/Replicate/Generated/Replicate.IReplicateApi.PredictionsGet.g.cs

@@ -48,7 +48,7 @@ public partial interface IReplicateApi
         /// - `canceled`: the prediction was canceled by its creator.<br/>
         /// In the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You'll need to pass the `Authorization` header to request them.<br/>
         /// In the case of failure, `error` will contain the error encountered during the prediction.<br/>
-        /// Terminated predictions (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the prediction used while running. It won't include time waiting for the prediction to start.<br/>
+        /// Terminated predictions (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the prediction used while running. It won't include time waiting for the prediction to start. The `metrics` object will also include a `total_time` property showing the total time, in seconds, that the prediction took to complete.<br/>
         /// All input parameters, output values, and logs are automatically removed after an hour, by default, for predictions created through the API.<br/>
         /// You must save a copy of any data or files in the output if you'd like to continue using them. The `output` key will still be present, but it's value will be `null` after the output has been removed.<br/>
         /// Output files are served by `replicate.delivery` and its subdomains. If you use an allow list of external domains for your assets, add `replicate.delivery` and `*.replicate.delivery` to it.

src/libs/Replicate/Generated/Replicate.IReplicateApi.TrainingsGet.g.cs

@@ -50,7 +50,7 @@ public partial interface IReplicateApi
         /// - `canceled`: the training was canceled by its creator.<br/>
         /// In the case of success, `output` will be an object containing the output of the model. Any files will be represented as HTTPS URLs. You'll need to pass the `Authorization` header to request them.<br/>
         /// In the case of failure, `error` will contain the error encountered during the training.<br/>
-        /// Terminated trainings (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the training used while running. It won't include time waiting for the training to start.
+        /// Terminated trainings (with a status of `succeeded`, `failed`, or `canceled`) will include a `metrics` object with a `predict_time` property showing the amount of CPU or GPU time, in seconds, that the training used while running. It won't include time waiting for the training to start. The `metrics` object will also include a `total_time` property showing the total time, in seconds, that the training took to complete.
         /// </summary>
         /// <param name="trainingId"></param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>