diff --git a/public/pages/workflow_detail/workflow_inputs/processor_inputs/ml_processor_inputs.tsx b/public/pages/workflow_detail/workflow_inputs/processor_inputs/ml_processor_inputs.tsx
index 70e78cc0..a5ce285e 100644
--- a/public/pages/workflow_detail/workflow_inputs/processor_inputs/ml_processor_inputs.tsx
+++ b/public/pages/workflow_detail/workflow_inputs/processor_inputs/ml_processor_inputs.tsx
@@ -487,17 +487,7 @@ export function MLProcessorInputs(props: MLProcessorInputsProps) {
             <EuiSpacer size="s" />
             <ConfigFieldList
               configId={props.config.id}
-              configFields={
-                // For ML search request processors, we don't expose the optional query_template field, since we have a dedicated
-                // UI for configuring that. See override_query_modal.tsx for details.
-                props.context === PROCESSOR_CONTEXT.SEARCH_REQUEST
-                  ? [
-                      ...(props.config.optionalFields?.filter(
-                        (optionalField) => optionalField.id !== 'query_template'
-                      ) || []),
-                    ]
-                  : props.config.optionalFields || []
-              }
+              configFields={props.config.optionalFields || []}
               baseConfigPath={props.baseConfigPath}
             />
           </EuiAccordion>
diff --git a/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/output_transform_modal.tsx b/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/output_transform_modal.tsx
index 558e3162..15ef0364 100644
--- a/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/output_transform_modal.tsx
+++ b/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/output_transform_modal.tsx
@@ -35,6 +35,7 @@ import {
   IngestPipelineConfig,
   JSONPATH_ROOT_SELECTOR,
   MapArrayFormValue,
+  MapFormValue,
   ModelInterface,
   OutputTransformFormValues,
   OutputTransformSchema,
@@ -157,7 +158,7 @@ export function OutputTransformModal(props: OutputTransformModalProps) {
         sampleSourceOutput = JSON.parse(sourceOutput);
         const output = generateTransform(
           sampleSourceOutput,
-          tempOutputMap[selectedTransformOption]
+          reverseKeysAndValues(tempOutputMap[selectedTransformOption])
         );
         setTransformedOutput(customStringify(output));
       } catch {}
@@ -641,3 +642,14 @@ root object selector "${JSONPATH_ROOT_SELECTOR}"`}
     </Formik>
   );
 }
+
+// since we persist the form keys/values reversed, we have a util fn to reverse back, so we can use
+// single util fns for manipulation of the form values (generating transforms, etc.)
+function reverseKeysAndValues(values: MapFormValue): MapFormValue {
+  return values.map((mapEntry) => {
+    return {
+      key: mapEntry.value,
+      value: mapEntry.key,
+    };
+  });
+}
diff --git a/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/override_query_modal.tsx b/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/override_query_modal.tsx
index b7d11e57..561ff8ee 100644
--- a/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/override_query_modal.tsx
+++ b/public/pages/workflow_detail/workflow_inputs/processor_inputs/modals/override_query_modal.tsx
@@ -68,13 +68,13 @@ export function OverrideQueryModal(props: OverrideQueryModalProps) {
   );
   // TODO: should handle edge case of multiple output maps configured. Currently
   // defaulting to prediction 0 / assuming not multiple predictions to track.
-  const outputMapKeys = getIn(outputMap, '0', []).map(
-    (mapEntry: MapEntry) => mapEntry.key
+  const outputMapValues = getIn(outputMap, '0', []).map(
+    (mapEntry: MapEntry) => mapEntry.value
   ) as string[];
   const finalModelOutputs =
-    outputMapKeys.length > 0
-      ? outputMapKeys.map((outputMapKey) => {
-          return { label: outputMapKey };
+    outputMapValues.length > 0
+      ? outputMapValues.map((outputMapValue) => {
+          return { label: outputMapValue };
         })
       : modelOutputs.map((modelOutput) => {
           return { label: modelOutput.label };
diff --git a/public/pages/workflows/new_workflow/quick_configure_modal.tsx b/public/pages/workflows/new_workflow/quick_configure_modal.tsx
index d2bac5fc..7ec123ca 100644
--- a/public/pages/workflows/new_workflow/quick_configure_modal.tsx
+++ b/public/pages/workflows/new_workflow/quick_configure_modal.tsx
@@ -293,10 +293,10 @@ function updateIngestProcessors(
             if (outputMap.length > 0) {
               outputMap[0] = {
                 ...outputMap[0],
-                key: defaultField,
+                value: defaultField,
               };
             } else {
-              outputMap.push({ key: defaultField, value: '' });
+              outputMap.push({ key: '', value: defaultField });
             }
           }
           field.value = [outputMap] as MapArrayFormValue;
@@ -344,16 +344,18 @@ function updateSearchRequestProcessors(
         }
         if (field.id === 'output_map') {
           const outputMap = generateMapFromModelOutputs(modelInterface);
-          const defaultKey = isVectorSearchUseCase ? VECTOR : defaultQueryValue;
+          const defaultValue = isVectorSearchUseCase
+            ? VECTOR
+            : defaultQueryValue;
           if (outputMap.length > 0) {
             outputMap[0] = {
               ...outputMap[0],
-              key: defaultKey,
+              value: defaultValue,
             };
           } else {
             outputMap.push({
-              key: defaultKey,
-              value: '',
+              key: '',
+              value: defaultValue,
             });
           }
           field.value = [outputMap] as MapArrayFormValue;
@@ -412,10 +414,10 @@ function updateSearchResponseProcessors(
             if (outputMap.length > 0) {
               outputMap[0] = {
                 ...outputMap[0],
-                key: fields.llmResponseField,
+                value: fields.llmResponseField,
               };
             } else {
-              outputMap.push({ key: fields.llmResponseField, value: '' });
+              outputMap.push({ key: '', value: fields.llmResponseField });
             }
           }
           field.value = [outputMap] as MapArrayFormValue;
@@ -540,7 +542,7 @@ function generateMapFromModelInputs(
   return inputMap;
 }
 
-// generate a set of mappings s.t. each value is
+// generate a set of mappings s.t. each key is
 // a unique model output
 function generateMapFromModelOutputs(
   modelInterface?: ModelInterface
@@ -550,8 +552,8 @@ function generateMapFromModelOutputs(
     const modelOutputs = parseModelOutputs(modelInterface);
     modelOutputs.forEach((modelOutput) => {
       outputMap.push({
-        key: '',
-        value: modelOutput.label,
+        key: modelOutput.label,
+        value: '',
       });
     });
   }
diff --git a/public/utils/utils.ts b/public/utils/utils.ts
index 34970ce6..dd29f916 100644
--- a/public/utils/utils.ts
+++ b/public/utils/utils.ts
@@ -229,13 +229,18 @@ function getTransformedResult(
   // the entire value. This may happen if full_response_path=false
   // and the input is the entire result with nothing else to parse out.
   // get() does not cover this case, so we override manually.
-  return path === '.'
-    ? input
-    : mapEntry.value.startsWith(JSONPATH_ROOT_SELECTOR)
-    ? // JSONPath transform
-      jsonpath.value(input, path)
-    : // Standard dot notation
-      get(input, path);
+  const result =
+    path === '.'
+      ? input
+      : mapEntry.value.startsWith(JSONPATH_ROOT_SELECTOR)
+      ? // JSONPath transform
+        jsonpath.query(input, path)
+      : // Standard dot notation
+        get(input, path);
+
+  // ML processors dynamically handle arrays vs. single values differently when indexing.
+  // We replicate that logic here to get consistent results
+  return Array.isArray(result) && result.length === 1 ? result[0] : result;
 }
 
 // Derive the collection of model inputs from the model interface JSONSchema into a form-ready list