chore: rebuild project due to codegen change (#53)

Author: stainless-app[bot]

inferencepipelinedata.go

@@ -95,28 +95,27 @@ func (r InferencePipelineDataStreamParams) MarshalJSON() (data []byte, err error
 // Configuration for the data stream. Depends on your **Openlayer project task
 // type**.
 type InferencePipelineDataStreamParamsConfig struct {
-	CategoricalFeatureNames param.Field[interface{}] `json:"categoricalFeatureNames,required"`
-	ClassNames              param.Field[interface{}] `json:"classNames,required"`
-	FeatureNames            param.Field[interface{}] `json:"featureNames,required"`
-	InputVariableNames      param.Field[interface{}] `json:"inputVariableNames,required"`
-	Metadata                param.Field[interface{}] `json:"metadata,required"`
-	Prompt                  param.Field[interface{}] `json:"prompt,required"`
+	CategoricalFeatureNames param.Field[interface{}] `json:"categoricalFeatureNames"`
+	ClassNames              param.Field[interface{}] `json:"classNames"`
 	// Name of the column with the context retrieved. Applies to RAG use cases.
 	// Providing the context enables RAG-specific metrics.
 	ContextColumnName param.Field[string] `json:"contextColumnName"`
 	// Name of the column with the cost associated with each row.
-	CostColumnName param.Field[string] `json:"costColumnName"`
+	CostColumnName param.Field[string]      `json:"costColumnName"`
+	FeatureNames   param.Field[interface{}] `json:"featureNames"`
 	// Name of the column with the ground truths.
 	GroundTruthColumnName param.Field[string] `json:"groundTruthColumnName"`
 	// Name of the column with the inference ids. This is useful if you want to update
 	// rows at a later point in time. If not provided, a unique id is generated by
 	// Openlayer.
-	InferenceIDColumnName param.Field[string] `json:"inferenceIdColumnName"`
+	InferenceIDColumnName param.Field[string]      `json:"inferenceIdColumnName"`
+	InputVariableNames    param.Field[interface{}] `json:"inputVariableNames"`
 	// Name of the column with the labels. The data in this column must be
 	// **zero-indexed integers**, matching the list provided in `classNames`.
 	LabelColumnName param.Field[string] `json:"labelColumnName"`
 	// Name of the column with the latencies.
-	LatencyColumnName param.Field[string] `json:"latencyColumnName"`
+	LatencyColumnName param.Field[string]      `json:"latencyColumnName"`
+	Metadata          param.Field[interface{}] `json:"metadata"`
 	// Name of the column with the total number of tokens.
 	NumOfTokenColumnName param.Field[string] `json:"numOfTokenColumnName"`
 	// Name of the column with the model outputs.
@@ -125,7 +124,8 @@ type InferencePipelineDataStreamParamsConfig struct {
 	PredictionsColumnName param.Field[string] `json:"predictionsColumnName"`
 	// Name of the column with the model's predictions as **lists of class
 	// probabilities**.
-	PredictionScoresColumnName param.Field[string] `json:"predictionScoresColumnName"`
+	PredictionScoresColumnName param.Field[string]      `json:"predictionScoresColumnName"`
+	Prompt                     param.Field[interface{}] `json:"prompt"`
 	// Name of the column with the questions. Applies to RAG use cases. Providing the
 	// question enables RAG-specific metrics.
 	QuestionColumnName param.Field[string] `json:"questionColumnName"`

internal/requestconfig/requestconfig.go

@@ -299,6 +299,10 @@ func retryDelay(res *http.Response, retryCount int) time.Duration {
 }
 
 func (cfg *RequestConfig) Execute() (err error) {
+	if cfg.BaseURL == nil {
+		return fmt.Errorf("requestconfig: base url is not set")
+	}
+
 	cfg.Request.URL, err = cfg.BaseURL.Parse(strings.TrimLeft(cfg.Request.URL.String(), "/"))
 	if err != nil {
 		return err