diff --git a/cloud-language/snippets/.eslintrc.yml b/cloud-language/snippets/.eslintrc.yml
index 282535f55f..0aa37ac630 100644
--- a/cloud-language/snippets/.eslintrc.yml
+++ b/cloud-language/snippets/.eslintrc.yml
@@ -1,3 +1,4 @@
 ---
 rules:
   no-console: off
+  node/no-missing-require: off
diff --git a/cloud-language/snippets/analyze.v1.js b/cloud-language/snippets/analyze.v1.js
index f506f78dfc..83fb5b1947 100644
--- a/cloud-language/snippets/analyze.v1.js
+++ b/cloud-language/snippets/analyze.v1.js
@@ -346,105 +346,98 @@ async function classifyTextInFile(bucketName, fileName) {
   // [END language_classify_gcs]
 }
 
-async function main() {
-  require(`yargs`)
-    .demand(1)
-    .command(
-      `sentiment-text <text>`,
-      `Detects sentiment of a string.`,
-      {},
-      opts => analyzeSentimentOfText(opts.text)
-    )
-    .command(
-      `sentiment-file <bucketName> <fileName>`,
-      `Detects sentiment in a file in Google Cloud Storage.`,
-      {},
-      opts => analyzeSentimentInFile(opts.bucketName, opts.fileName)
-    )
-    .command(
-      `entities-text <text>`,
-      `Detects entities in a string.`,
-      {},
-      opts => analyzeEntitiesOfText(opts.text)
-    )
-    .command(
-      `entities-file <bucketName> <fileName>`,
-      `Detects entities in a file in Google Cloud Storage.`,
-      {},
-      opts => analyzeEntitiesInFile(opts.bucketName, opts.fileName)
-    )
-    .command(`syntax-text <text>`, `Detects syntax of a string.`, {}, opts =>
-      analyzeSyntaxOfText(opts.text)
-    )
-    .command(
-      `syntax-file <bucketName> <fileName>`,
-      `Detects syntax in a file in Google Cloud Storage.`,
-      {},
-      opts => analyzeSyntaxInFile(opts.bucketName, opts.fileName)
-    )
-    .command(
-      `entity-sentiment-text <text>`,
-      `Detects sentiment of the entities in a string.`,
-      {},
-      opts => analyzeEntitySentimentOfText(opts.text)
-    )
-    .command(
-      `entity-sentiment-file <bucketName> <fileName>`,
-      `Detects sentiment of the entities in a file in Google Cloud Storage.`,
-      {},
-      opts => analyzeEntitySentimentInFile(opts.bucketName, opts.fileName)
-    )
-    .command(`classify-text <text>`, `Classifies text of a string.`, {}, opts =>
-      classifyTextOfText(opts.text)
-    )
-    .command(
-      `classify-file <bucketName> <fileName>`,
-      `Classifies text in a file in Google Cloud Storage.`,
-      {},
-      opts => classifyTextInFile(opts.bucketName, opts.fileName)
-    )
-    .example(
-      `node $0 sentiment-text "President Obama is speaking at the White House."`
-    )
-    .example(
-      `node $0 sentiment-file my-bucket file.txt`,
-      `Detects sentiment in gs://my-bucket/file.txt`
-    )
-    .example(
-      `node $0 entities-text "President Obama is speaking at the White House."`
-    )
-    .example(
-      `node $0 entities-file my-bucket file.txt`,
-      `Detects entities in gs://my-bucket/file.txt`
-    )
-    .example(
-      `node $0 syntax-text "President Obama is speaking at the White House."`
-    )
-    .example(
-      `node $0 syntax-file my-bucket file.txt`,
-      `Detects syntax in gs://my-bucket/file.txt`
-    )
-    .example(
-      `node $0 entity-sentiment-text "President Obama is speaking at the White House."`
-    )
-    .example(
-      `node $0 entity-sentiment-file my-bucket file.txt`,
-      `Detects sentiment of entities in gs://my-bucket/file.txt`
-    )
-    .example(
-      `node $0 classify-text "Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."`
-    )
-    .example(
-      `node $0 classify-file my-bucket android_text.txt`,
-      `Detects syntax in gs://my-bucket/android_text.txt`
-    )
-    .wrap(120)
-    .recommendCommands()
-    .epilogue(
-      `For more information, see https://cloud.google.com/natural-language/docs`
-    )
-    .help()
-    .strict().argv;
-}
-
-main().catch(console.error);
+require(`yargs`)
+  .demand(1)
+  .command(
+    `sentiment-text <text>`,
+    `Detects sentiment of a string.`,
+    {},
+    opts => analyzeSentimentOfText(opts.text)
+  )
+  .command(
+    `sentiment-file <bucketName> <fileName>`,
+    `Detects sentiment in a file in Google Cloud Storage.`,
+    {},
+    opts => analyzeSentimentInFile(opts.bucketName, opts.fileName)
+  )
+  .command(`entities-text <text>`, `Detects entities in a string.`, {}, opts =>
+    analyzeEntitiesOfText(opts.text)
+  )
+  .command(
+    `entities-file <bucketName> <fileName>`,
+    `Detects entities in a file in Google Cloud Storage.`,
+    {},
+    opts => analyzeEntitiesInFile(opts.bucketName, opts.fileName)
+  )
+  .command(`syntax-text <text>`, `Detects syntax of a string.`, {}, opts =>
+    analyzeSyntaxOfText(opts.text)
+  )
+  .command(
+    `syntax-file <bucketName> <fileName>`,
+    `Detects syntax in a file in Google Cloud Storage.`,
+    {},
+    opts => analyzeSyntaxInFile(opts.bucketName, opts.fileName)
+  )
+  .command(
+    `entity-sentiment-text <text>`,
+    `Detects sentiment of the entities in a string.`,
+    {},
+    opts => analyzeEntitySentimentOfText(opts.text)
+  )
+  .command(
+    `entity-sentiment-file <bucketName> <fileName>`,
+    `Detects sentiment of the entities in a file in Google Cloud Storage.`,
+    {},
+    opts => analyzeEntitySentimentInFile(opts.bucketName, opts.fileName)
+  )
+  .command(`classify-text <text>`, `Classifies text of a string.`, {}, opts =>
+    classifyTextOfText(opts.text)
+  )
+  .command(
+    `classify-file <bucketName> <fileName>`,
+    `Classifies text in a file in Google Cloud Storage.`,
+    {},
+    opts => classifyTextInFile(opts.bucketName, opts.fileName)
+  )
+  .example(
+    `node $0 sentiment-text "President Obama is speaking at the White House."`
+  )
+  .example(
+    `node $0 sentiment-file my-bucket file.txt`,
+    `Detects sentiment in gs://my-bucket/file.txt`
+  )
+  .example(
+    `node $0 entities-text "President Obama is speaking at the White House."`
+  )
+  .example(
+    `node $0 entities-file my-bucket file.txt`,
+    `Detects entities in gs://my-bucket/file.txt`
+  )
+  .example(
+    `node $0 syntax-text "President Obama is speaking at the White House."`
+  )
+  .example(
+    `node $0 syntax-file my-bucket file.txt`,
+    `Detects syntax in gs://my-bucket/file.txt`
+  )
+  .example(
+    `node $0 entity-sentiment-text "President Obama is speaking at the White House."`
+  )
+  .example(
+    `node $0 entity-sentiment-file my-bucket file.txt`,
+    `Detects sentiment of entities in gs://my-bucket/file.txt`
+  )
+  .example(
+    `node $0 classify-text "Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."`
+  )
+  .example(
+    `node $0 classify-file my-bucket android_text.txt`,
+    `Detects syntax in gs://my-bucket/android_text.txt`
+  )
+  .wrap(120)
+  .recommendCommands()
+  .epilogue(
+    `For more information, see https://cloud.google.com/natural-language/docs`
+  )
+  .help()
+  .strict().argv;
diff --git a/cloud-language/snippets/analyze.v1beta2.js b/cloud-language/snippets/analyze.v1beta2.js
index c393a165f5..f798b016ce 100644
--- a/cloud-language/snippets/analyze.v1beta2.js
+++ b/cloud-language/snippets/analyze.v1beta2.js
@@ -248,7 +248,7 @@ async function classifyTextOfText(text) {
   // [END language_classify_string]
 }
 
-function classifyTextInFile(bucketName, fileName) {
+async function classifyTextInFile(bucketName, fileName) {
   // [START language_classify_file]
   // Imports the Google Cloud client library
   const language = require('@google-cloud/language').v1beta2;
@@ -269,105 +269,87 @@ function classifyTextInFile(bucketName, fileName) {
   };
 
   // Classifies text in the document
-  client
-    .classifyText({document})
-    .then(results => {
-      const classification = results[0];
-
-      console.log('Categories:');
-      classification.categories.forEach(category => {
-        console.log(
-          `Name: ${category.name}, Confidence: ${category.confidence}`
-        );
-      });
-    })
-    .catch(err => {
-      console.error('ERROR:', err);
-    });
+  const [classification] = await client.classifyText({document});
+  console.log('Categories:');
+  classification.categories.forEach(category => {
+    console.log(`Name: ${category.name}, Confidence: ${category.confidence}`);
+  });
   // [END language_classify_file]
 }
 
-async function main() {
-  require(`yargs`)
-    .demand(1)
-    .command(
-      `sentiment-text <text>`,
-      `Detects sentiment of a string.`,
-      {},
-      opts => analyzeSentimentOfText(opts.text)
-    )
-    .command(
-      `sentiment-file <bucketName> <fileName>`,
-      `Detects sentiment in a file in Google Cloud Storage.`,
-      {},
-      opts => analyzeSentimentInFile(opts.bucketName, opts.fileName)
-    )
-    .command(
-      `entities-text <text>`,
-      `Detects entities in a string.`,
-      {},
-      opts => analyzeEntitiesOfText(opts.text)
-    )
-    .command(
-      `entities-file <bucketName> <fileName>`,
-      `Detects entities in a file in Google Cloud Storage.`,
-      {},
-      opts => analyzeEntitiesInFile(opts.bucketName, opts.fileName)
-    )
-    .command(`syntax-text <text>`, `Detects syntax of a string.`, {}, opts =>
-      analyzeSyntaxOfText(opts.text)
-    )
-    .command(
-      `syntax-file <bucketName> <fileName>`,
-      `Detects syntax in a file in Google Cloud Storage.`,
-      {},
-      opts => analyzeSyntaxInFile(opts.bucketName, opts.fileName)
-    )
-    .command(`classify-text <text>`, `Classifies text of a string.`, {}, opts =>
-      classifyTextOfText(opts.text)
-    )
-    .command(
-      `classify-file <bucketName> <fileName>`,
-      `Classifies text in a file in Google Cloud Storage.`,
-      {},
-      opts =>
-        classifyTextInFile(opts.bucketName, opts.fileName).catch(console.error)
-    )
-    .example(
-      `node $0 sentiment-text "President Obama is speaking at the White House."`
-    )
-    .example(
-      `node $0 sentiment-file my-bucket file.txt`,
-      `Detects sentiment in gs://my-bucket/file.txt`
-    )
-    .example(
-      `node $0 entities-text "President Obama is speaking at the White House."`
-    )
-    .example(
-      `node $0 entities-file my-bucket file.txt`,
-      `Detects entities in gs://my-bucket/file.txt`
-    )
-    .example(
-      `node $0 syntax-text "President Obama is speaking at the White House."`
-    )
-    .example(
-      `node $0 syntax-file my-bucket file.txt`,
-      `Detects syntax in gs://my-bucket/file.txt`
-    )
-    .example(
-      `node $0 classify-text "Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."`
-    )
-    .example(
-      `node $0 classify-file my-bucket android_text.txt`,
-      `Detects syntax in gs://my-bucket/android_text.txt`
-    )
-    .wrap(120)
-    .recommendCommands()
-    .epilogue(
-      `For more information, see https://cloud.google.com/natural-language/docs`
-    )
-    .help()
-    .strict().argv;
-}
-
-main().catch(console.error);
+require(`yargs`)
+  .demand(1)
+  .command(
+    `sentiment-text <text>`,
+    `Detects sentiment of a string.`,
+    {},
+    opts => analyzeSentimentOfText(opts.text)
+  )
+  .command(
+    `sentiment-file <bucketName> <fileName>`,
+    `Detects sentiment in a file in Google Cloud Storage.`,
+    {},
+    opts => analyzeSentimentInFile(opts.bucketName, opts.fileName)
+  )
+  .command(`entities-text <text>`, `Detects entities in a string.`, {}, opts =>
+    analyzeEntitiesOfText(opts.text)
+  )
+  .command(
+    `entities-file <bucketName> <fileName>`,
+    `Detects entities in a file in Google Cloud Storage.`,
+    {},
+    opts => analyzeEntitiesInFile(opts.bucketName, opts.fileName)
+  )
+  .command(`syntax-text <text>`, `Detects syntax of a string.`, {}, opts =>
+    analyzeSyntaxOfText(opts.text)
+  )
+  .command(
+    `syntax-file <bucketName> <fileName>`,
+    `Detects syntax in a file in Google Cloud Storage.`,
+    {},
+    opts => analyzeSyntaxInFile(opts.bucketName, opts.fileName)
+  )
+  .command(`classify-text <text>`, `Classifies text of a string.`, {}, opts =>
+    classifyTextOfText(opts.text)
+  )
+  .command(
+    `classify-file <bucketName> <fileName>`,
+    `Classifies text in a file in Google Cloud Storage.`,
+    {},
+    opts => classifyTextInFile(opts.bucketName, opts.fileName)
+  )
+  .example(
+    `node $0 sentiment-text "President Obama is speaking at the White House."`
+  )
+  .example(
+    `node $0 sentiment-file my-bucket file.txt`,
+    `Detects sentiment in gs://my-bucket/file.txt`
+  )
+  .example(
+    `node $0 entities-text "President Obama is speaking at the White House."`
+  )
+  .example(
+    `node $0 entities-file my-bucket file.txt`,
+    `Detects entities in gs://my-bucket/file.txt`
+  )
+  .example(
+    `node $0 syntax-text "President Obama is speaking at the White House."`
+  )
+  .example(
+    `node $0 syntax-file my-bucket file.txt`,
+    `Detects syntax in gs://my-bucket/file.txt`
+  )
+  .example(
+    `node $0 classify-text "Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."`
+  )
+  .example(
+    `node $0 classify-file my-bucket android_text.txt`,
+    `Detects syntax in gs://my-bucket/android_text.txt`
+  )
+  .wrap(120)
+  .recommendCommands()
+  .epilogue(
+    `For more information, see https://cloud.google.com/natural-language/docs`
+  )
+  .help()
+  .strict().argv;
diff --git a/cloud-language/snippets/automl/.eslintrc.yml b/cloud-language/snippets/automl/.eslintrc.yml
deleted file mode 100644
index 0aa37ac630..0000000000
--- a/cloud-language/snippets/automl/.eslintrc.yml
+++ /dev/null
@@ -1,4 +0,0 @@
----
-rules:
-  no-console: off
-  node/no-missing-require: off
diff --git a/cloud-language/snippets/automl/automlNaturalLanguageDataset.js b/cloud-language/snippets/automl/automlNaturalLanguageDataset.js
index b6563d4e4a..139efc0ef9 100755
--- a/cloud-language/snippets/automl/automlNaturalLanguageDataset.js
+++ b/cloud-language/snippets/automl/automlNaturalLanguageDataset.js
@@ -251,114 +251,110 @@ async function deleteDataset(projectId, computeRegion, datasetId) {
   // [END automl_natural_language_deleteDataset]
 }
 
-async function main() {
-  require(`yargs`)
-    .demand(1)
-    .options({
-      computeRegion: {
-        alias: `c`,
-        type: `string`,
-        default: process.env.REGION_NAME,
-        requiresArg: true,
-        description: `region name e.g. "us-central1"`,
-      },
-      datasetName: {
-        alias: `n`,
-        type: `string`,
-        default: `testDataSet`,
-        requiresArg: true,
-        description: `Name of the Dataset`,
-      },
-      datasetId: {
-        alias: `i`,
-        type: `string`,
-        requiresArg: true,
-        description: `Id of the dataset`,
-      },
-      filter: {
-        alias: `f`,
-        default: `text_classification_dataset_metadata:*`,
-        type: `string`,
-        requiresArg: false,
-        description: `filter expression`,
-      },
-      multilabel: {
-        alias: `m`,
-        type: `string`,
-        default: false,
-        requiresArg: true,
-        description:
-          `Type of the classification problem, ` +
-          `False - MULTICLASS, True - MULTILABEL.`,
-      },
-      outputUri: {
-        alias: `o`,
-        type: `string`,
-        requiresArg: true,
-        description: `URI (or local path) to export dataset`,
-      },
-      path: {
-        alias: `p`,
-        type: `string`,
-        global: true,
-        default: `gs://nodejs-docs-samples-vcm/flowerTraindataMini.csv`,
-        requiresArg: true,
-        description: `URI or local path to input .csv, or array of .csv paths`,
-      },
-      projectId: {
-        alias: `z`,
-        type: `number`,
-        default: process.env.GCLOUD_PROJECT,
-        requiresArg: true,
-        description: `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`,
-      },
-    })
-    .command(`create-dataset`, `creates a new Dataset`, {}, opts =>
-      createDataset(
+require(`yargs`)
+  .demand(1)
+  .options({
+    computeRegion: {
+      alias: `c`,
+      type: `string`,
+      default: process.env.REGION_NAME,
+      requiresArg: true,
+      description: `region name e.g. "us-central1"`,
+    },
+    datasetName: {
+      alias: `n`,
+      type: `string`,
+      default: `testDataSet`,
+      requiresArg: true,
+      description: `Name of the Dataset`,
+    },
+    datasetId: {
+      alias: `i`,
+      type: `string`,
+      requiresArg: true,
+      description: `Id of the dataset`,
+    },
+    filter: {
+      alias: `f`,
+      default: `text_classification_dataset_metadata:*`,
+      type: `string`,
+      requiresArg: false,
+      description: `filter expression`,
+    },
+    multilabel: {
+      alias: `m`,
+      type: `string`,
+      default: false,
+      requiresArg: true,
+      description:
+        `Type of the classification problem, ` +
+        `False - MULTICLASS, True - MULTILABEL.`,
+    },
+    outputUri: {
+      alias: `o`,
+      type: `string`,
+      requiresArg: true,
+      description: `URI (or local path) to export dataset`,
+    },
+    path: {
+      alias: `p`,
+      type: `string`,
+      global: true,
+      default: `gs://nodejs-docs-samples-vcm/flowerTraindataMini.csv`,
+      requiresArg: true,
+      description: `URI or local path to input .csv, or array of .csv paths`,
+    },
+    projectId: {
+      alias: `z`,
+      type: `number`,
+      default: process.env.GCLOUD_PROJECT,
+      requiresArg: true,
+      description: `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`,
+    },
+  })
+  .command(`create-dataset`, `creates a new Dataset`, {}, opts =>
+    createDataset(
+      opts.projectId,
+      opts.computeRegion,
+      opts.datasetName,
+      opts.multilabel
+    )
+  )
+  .command(`list-datasets`, `list all Datasets`, {}, opts =>
+    listDatasets(opts.projectId, opts.computeRegion, opts.filter)
+  )
+  .command(`get-dataset`, `Get a Dataset`, {}, opts =>
+    getDataset(opts.projectId, opts.computeRegion, opts.datasetId)
+  )
+  .command(`delete-dataset`, `Delete a dataset`, {}, opts =>
+    deleteDataset(opts.projectId, opts.computeRegion, opts.datasetId)
+  )
+  .command(`import-data`, `Import labeled items into dataset`, {}, opts =>
+    importData(opts.projectId, opts.computeRegion, opts.datasetId, opts.path)
+  )
+  .command(
+    `export-data`,
+    `Export a dataset to a Google Cloud Storage Bucket`,
+    {},
+    opts =>
+      exportData(
         opts.projectId,
         opts.computeRegion,
-        opts.datasetName,
-        opts.multilabel
+        opts.datasetId,
+        opts.outputUri
       )
-    )
-    .command(`list-datasets`, `list all Datasets`, {}, opts =>
-      listDatasets(opts.projectId, opts.computeRegion, opts.filter)
-    )
-    .command(`get-dataset`, `Get a Dataset`, {}, opts =>
-      getDataset(opts.projectId, opts.computeRegion, opts.datasetId)
-    )
-    .command(`delete-dataset`, `Delete a dataset`, {}, opts =>
-      deleteDataset(opts.projectId, opts.computeRegion, opts.datasetId)
-    )
-    .command(`import-data`, `Import labeled items into dataset`, {}, opts =>
-      importData(opts.projectId, opts.computeRegion, opts.datasetId, opts.path)
-    )
-    .command(
-      `export-data`,
-      `Export a dataset to a Google Cloud Storage Bucket`,
-      {},
-      opts =>
-        exportData(
-          opts.projectId,
-          opts.computeRegion,
-          opts.datasetId,
-          opts.outputUri
-        )
-    )
-    .example(`node $0 create-dataset -n "newDataSet"`)
-    .example(`node $0 list-datasets -f "imageClassificationDatasetMetadata:*"`)
-    .example(`node $0 get-dataset -i "DATASETID"`)
-    .example(`node $0 delete-dataset -i "DATASETID"`)
-    .example(
-      `node $0 import-data -i "dataSetId" -p "gs://myproject/mytraindata.csv"`
-    )
-    .example(
-      `node $0 export-data -i "dataSetId" -o "gs://myproject/outputdestination.csv"`
-    )
-    .wrap(120)
-    .recommendCommands()
-    .help()
-    .strict().argv;
-}
-
-main().catch(console.error);
+  )
+  .example(`node $0 create-dataset -n "newDataSet"`)
+  .example(`node $0 list-datasets -f "imageClassificationDatasetMetadata:*"`)
+  .example(`node $0 get-dataset -i "DATASETID"`)
+  .example(`node $0 delete-dataset -i "DATASETID"`)
+  .example(
+    `node $0 import-data -i "dataSetId" -p "gs://myproject/mytraindata.csv"`
+  )
+  .example(
+    `node $0 export-data -i "dataSetId" -o "gs://myproject/outputdestination.csv"`
+  )
+  .wrap(120)
+  .recommendCommands()
+  .help()
+  .strict().argv;
diff --git a/cloud-language/snippets/automl/automlNaturalLanguageModel.js b/cloud-language/snippets/automl/automlNaturalLanguageModel.js
index 96492852c0..747f141c1d 100755
--- a/cloud-language/snippets/automl/automlNaturalLanguageModel.js
+++ b/cloud-language/snippets/automl/automlNaturalLanguageModel.js
@@ -419,133 +419,129 @@ async function deleteModel(projectId, computeRegion, modelId) {
   // [END automl_natural_language_deleteModel]
 }
 
-async function main() {
-  require(`yargs`)
-    .demand(1)
-    .options({
-      computeRegion: {
-        alias: `c`,
-        type: `string`,
-        default: process.env.REGION_NAME,
-        requiresArg: true,
-        description: `region name e.g. "us-central1"`,
-      },
-      datasetId: {
-        alias: `i`,
-        type: `string`,
-        requiresArg: true,
-        description: `Id of the dataset`,
-      },
-      filter: {
-        alias: `f`,
-        default: ``,
-        type: `string`,
-        requiresArg: true,
-        description: `Name of the Dataset to search for`,
-      },
-      modelName: {
-        alias: `m`,
-        type: `string`,
-        default: false,
-        requiresArg: true,
-        description: `Name of the model`,
-      },
-      modelId: {
-        alias: `a`,
-        type: `string`,
-        default: ``,
-        requiresArg: true,
-        description: `Id of the model`,
-      },
-      modelEvaluationId: {
-        alias: `e`,
-        type: `string`,
-        default: ``,
-        requiresArg: true,
-        description: `Id of the model evaluation`,
-      },
-      operationFullId: {
-        alias: `o`,
-        type: `string`,
-        default: ``,
-        requiresArg: true,
-        description: `Full name of an operation`,
-      },
-      projectId: {
-        alias: `z`,
-        type: `number`,
-        default: process.env.GCLOUD_PROJECT,
-        requiresArg: true,
-        description: `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`,
-      },
-      trainBudget: {
-        alias: `t`,
-        type: `string`,
-        default: ``,
-        requiresArg: true,
-        description: `Budget for training the model`,
-      },
-    })
-    .command(`create-model`, `creates a new Model`, {}, opts =>
-      createModel(
-        opts.projectId,
-        opts.computeRegion,
-        opts.datasetId,
-        opts.modelName,
-        opts.trainBudget
-      )
+require(`yargs`)
+  .demand(1)
+  .options({
+    computeRegion: {
+      alias: `c`,
+      type: `string`,
+      default: process.env.REGION_NAME,
+      requiresArg: true,
+      description: `region name e.g. "us-central1"`,
+    },
+    datasetId: {
+      alias: `i`,
+      type: `string`,
+      requiresArg: true,
+      description: `Id of the dataset`,
+    },
+    filter: {
+      alias: `f`,
+      default: ``,
+      type: `string`,
+      requiresArg: true,
+      description: `Name of the Dataset to search for`,
+    },
+    modelName: {
+      alias: `m`,
+      type: `string`,
+      default: false,
+      requiresArg: true,
+      description: `Name of the model`,
+    },
+    modelId: {
+      alias: `a`,
+      type: `string`,
+      default: ``,
+      requiresArg: true,
+      description: `Id of the model`,
+    },
+    modelEvaluationId: {
+      alias: `e`,
+      type: `string`,
+      default: ``,
+      requiresArg: true,
+      description: `Id of the model evaluation`,
+    },
+    operationFullId: {
+      alias: `o`,
+      type: `string`,
+      default: ``,
+      requiresArg: true,
+      description: `Full name of an operation`,
+    },
+    projectId: {
+      alias: `z`,
+      type: `number`,
+      default: process.env.GCLOUD_PROJECT,
+      requiresArg: true,
+      description: `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`,
+    },
+    trainBudget: {
+      alias: `t`,
+      type: `string`,
+      default: ``,
+      requiresArg: true,
+      description: `Budget for training the model`,
+    },
+  })
+  .command(`create-model`, `creates a new Model`, {}, opts =>
+    createModel(
+      opts.projectId,
+      opts.computeRegion,
+      opts.datasetId,
+      opts.modelName,
+      opts.trainBudget
     )
-    .command(
-      `get-operation-status`,
-      `Gets status of current operation`,
-      {},
-      opts => getOperationStatus(opts.operationFullId)
+  )
+  .command(
+    `get-operation-status`,
+    `Gets status of current operation`,
+    {},
+    opts => getOperationStatus(opts.operationFullId)
+  )
+  .command(`list-models`, `list all Models`, {}, opts =>
+    listModels(opts.projectId, opts.computeRegion, opts.filter)
+  )
+  .command(`get-model`, `Get a Model`, {}, opts =>
+    getModel(opts.projectId, opts.computeRegion, opts.modelId)
+  )
+  .command(`list-model-evaluations`, `List model evaluations`, {}, opts =>
+    listModelEvaluations(
+      opts.projectId,
+      opts.computeRegion,
+      opts.modelId,
+      opts.filter
     )
-    .command(`list-models`, `list all Models`, {}, opts =>
-      listModels(opts.projectId, opts.computeRegion, opts.filter)
+  )
+  .command(`get-model-evaluation`, `Get model evaluation`, {}, opts =>
+    getModelEvaluation(
+      opts.projectId,
+      opts.computeRegion,
+      opts.modelId,
+      opts.modelEvaluationId
     )
-    .command(`get-model`, `Get a Model`, {}, opts =>
-      getModel(opts.projectId, opts.computeRegion, opts.modelId)
+  )
+  .command(`display-evaluation`, `Display evaluation`, {}, opts =>
+    displayEvaluation(
+      opts.projectId,
+      opts.computeRegion,
+      opts.modelId,
+      opts.filter
     )
-    .command(`list-model-evaluations`, `List model evaluations`, {}, opts =>
-      listModelEvaluations(
-        opts.projectId,
-        opts.computeRegion,
-        opts.modelId,
-        opts.filter
-      )
-    )
-    .command(`get-model-evaluation`, `Get model evaluation`, {}, opts =>
-      getModelEvaluation(
-        opts.projectId,
-        opts.computeRegion,
-        opts.modelId,
-        opts.modelEvaluationId
-      )
-    )
-    .command(`display-evaluation`, `Display evaluation`, {}, opts =>
-      displayEvaluation(
-        opts.projectId,
-        opts.computeRegion,
-        opts.modelId,
-        opts.filter
-      )
-    )
-    .command(`delete-model`, `Delete a Model`, {}, opts =>
-      deleteModel(opts.projectId, opts.computeRegion, opts.modelId)
-    )
-    .example(`node $0 create-model -i "DatasetID" -m "myModelName" -t "2"`)
-    .example(`node $0 get-operation-status -i "datasetId" -o "OperationFullID"`)
-    .example(`node $0 list-models -f "textClassificationModelMetadata:*"`)
-    .example(`node $0 get-model -a "ModelID"`)
-    .example(`node $0 list-model-evaluations -a "ModelID"`)
-    .example(`node $0 get-model-evaluation -a "ModelId" -e "ModelEvaluationID"`)
-    .example(`node $0 display-evaluation -a "ModelId"`)
-    .example(`node $0 delete-model -a "ModelID"`)
-    .wrap(120)
-    .recommendCommands()
-    .help()
-    .strict().argv;
-}
-
-main().catch(console.error);
+  )
+  .command(`delete-model`, `Delete a Model`, {}, opts =>
+    deleteModel(opts.projectId, opts.computeRegion, opts.modelId)
+  )
+  .example(`node $0 create-model -i "DatasetID" -m "myModelName" -t "2"`)
+  .example(`node $0 get-operation-status -i "datasetId" -o "OperationFullID"`)
+  .example(`node $0 list-models -f "textClassificationModelMetadata:*"`)
+  .example(`node $0 get-model -a "ModelID"`)
+  .example(`node $0 list-model-evaluations -a "ModelID"`)
+  .example(`node $0 get-model-evaluation -a "ModelId" -e "ModelEvaluationID"`)
+  .example(`node $0 display-evaluation -a "ModelId"`)
+  .example(`node $0 delete-model -a "ModelID"`)
+  .wrap(120)
+  .recommendCommands()
+  .help()
+  .strict().argv;
diff --git a/cloud-language/snippets/automl/automlNaturalLanguagePredict.js b/cloud-language/snippets/automl/automlNaturalLanguagePredict.js
index 4a6fff3122..77b45fd725 100755
--- a/cloud-language/snippets/automl/automlNaturalLanguagePredict.js
+++ b/cloud-language/snippets/automl/automlNaturalLanguagePredict.js
@@ -68,61 +68,57 @@ async function predict(projectId, computeRegion, modelId, filePath) {
   // [END automl_natural_language_predict]
 }
 
-async function main() {
-  require(`yargs`)
-    .demand(1)
-    .options({
-      computeRegion: {
-        alias: `c`,
-        type: `string`,
-        default: process.env.REGION_NAME,
-        requiresArg: true,
-        description: `region name e.g. "us-central1"`,
-      },
-      filePath: {
-        alias: `f`,
-        default: `./resources/test.txt`,
-        type: `string`,
-        requiresArg: true,
-        description: `local text file path of the content to be classified`,
-      },
-      modelId: {
-        alias: `i`,
-        type: `string`,
-        requiresArg: true,
-        description: `Id of the model which will be used for text classification`,
-      },
-      projectId: {
-        alias: `z`,
-        type: `number`,
-        default: process.env.GCLOUD_PROJECT,
-        requiresArg: true,
-        description: `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`,
-      },
-      scoreThreshold: {
-        alias: `s`,
-        type: `string`,
-        default: `0.5`,
-        requiresArg: true,
-        description:
-          `A value from 0.0 to 1.0.  When the model makes predictions for an image it will` +
-          `only produce results that have at least this confidence score threshold.  Default is .5`,
-      },
-    })
-    .command(`predict`, `classify the content`, {}, opts =>
-      predict(
-        opts.projectId,
-        opts.computeRegion,
-        opts.modelId,
-        opts.filePath,
-        opts.scoreThreshold
-      )
+require(`yargs`)
+  .demand(1)
+  .options({
+    computeRegion: {
+      alias: `c`,
+      type: `string`,
+      default: process.env.REGION_NAME,
+      requiresArg: true,
+      description: `region name e.g. "us-central1"`,
+    },
+    filePath: {
+      alias: `f`,
+      default: `./resources/test.txt`,
+      type: `string`,
+      requiresArg: true,
+      description: `local text file path of the content to be classified`,
+    },
+    modelId: {
+      alias: `i`,
+      type: `string`,
+      requiresArg: true,
+      description: `Id of the model which will be used for text classification`,
+    },
+    projectId: {
+      alias: `z`,
+      type: `number`,
+      default: process.env.GCLOUD_PROJECT,
+      requiresArg: true,
+      description: `The GCLOUD_PROJECT string, e.g. "my-gcloud-project"`,
+    },
+    scoreThreshold: {
+      alias: `s`,
+      type: `string`,
+      default: `0.5`,
+      requiresArg: true,
+      description:
+        `A value from 0.0 to 1.0.  When the model makes predictions for an image it will` +
+        `only produce results that have at least this confidence score threshold.  Default is .5`,
+    },
+  })
+  .command(`predict`, `classify the content`, {}, opts =>
+    predict(
+      opts.projectId,
+      opts.computeRegion,
+      opts.modelId,
+      opts.filePath,
+      opts.scoreThreshold
     )
-    .example(`node $0 predict -i "modelId" -f "./resources/test.txt" -s "0.5"`)
-    .wrap(120)
-    .recommendCommands()
-    .help()
-    .strict().argv;
-}
-
-main().catch(console.error);
+  )
+  .example(`node $0 predict -i "modelId" -f "./resources/test.txt" -s "0.5"`)
+  .wrap(120)
+  .recommendCommands()
+  .help()
+  .strict().argv;
diff --git a/cloud-language/snippets/automl/package.json b/cloud-language/snippets/automl/package.json
deleted file mode 100644
index 94c46794f1..0000000000
--- a/cloud-language/snippets/automl/package.json
+++ /dev/null
@@ -1,31 +0,0 @@
-{
-  "name": "automl",
-  "version": "1.0.0",
-  "description": "",
-  "main": "automl_natural_language_dataset.js",
-  "files": [
-    "*.js",
-    "resources"
-  ],
-  "scripts": {
-    "test": "mocha system-test/*.test.js --opts system-test/mocha.opts"
-  },
-  "engines": {
-    "node": ">=8.0.0"
-  },
-  "author": "",
-  "license": "ISC",
-  "dependencies": {
-    "@google-cloud/automl": "^0.1.1",
-    "@google-cloud/language": "^2.0.0",
-    "mathjs": "^5.0.4",
-    "util": "^0.11.0",
-    "yargs": "^12.0.1"
-  },
-  "devDependencies": {
-    "@google-cloud/nodejs-repo-tools": "^3.0.0",
-    "mocha": "^5.2.0",
-    "proxyquire": "^2.0.1",
-    "sinon": "^7.0.0"
-  }
-}
diff --git a/cloud-language/snippets/automl/system-test/.eslintrc.yml b/cloud-language/snippets/automl/system-test/.eslintrc.yml
deleted file mode 100644
index 6db2a46c53..0000000000
--- a/cloud-language/snippets/automl/system-test/.eslintrc.yml
+++ /dev/null
@@ -1,3 +0,0 @@
----
-env:
-  mocha: true
diff --git a/cloud-language/snippets/automl/system-test/automlNaturalLanguage.test.js b/cloud-language/snippets/automl/system-test/automlNaturalLanguage.test.js
deleted file mode 100644
index 33cf32d3f9..0000000000
--- a/cloud-language/snippets/automl/system-test/automlNaturalLanguage.test.js
+++ /dev/null
@@ -1,140 +0,0 @@
-/**
- * Copyright 2018, Google, LLC.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-'use strict';
-
-const assert = require(`assert`);
-const tools = require(`@google-cloud/nodejs-repo-tools`);
-
-const cmdDataset = `node automlNaturalLanguageDataset.js`;
-const cmdModel = `node automlNaturalLanguageModel.js`;
-const cmdPredict = `node automlNaturalLanguagePredict.js`;
-
-const testDataSetName = `testDataset`;
-const dummyDataSet = `dummyDataset`;
-const testModelName = `dummyModel`;
-const sampleText = `./resources/test.txt`;
-
-// Skipped because it's been taking too long to delete datasets
-it.skip(`should create a create, list, and delete a dataset`, async () => {
-  // Check to see that this dataset does not yet exist
-  let output = await tools.runAsync(`${cmdDataset} list-datasets`);
-  //t.false(output.includes(testDataSetName));
-  assert.notStrictEqual(RegExp(`testDataset`).test(output));
-
-  // Create dataset
-  output = await tools.runAsync(
-    `${cmdDataset} create-dataset -n "${testDataSetName}"`
-  );
-  const parsedOut = output.split(`\n`);
-  const dataSetId = parsedOut[1].split(`:`)[1].trim();
-  assert(RegExp(`Dataset display name:  testDataset`).test(output));
-
-  // Delete dataset
-  output = await tools.runAsync(
-    `${cmdDataset} delete-dataset -i "${dataSetId}"`
-  );
-  assert(RegExp(`Dataset deleted.`).test(output));
-});
-
-// See : https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/NaturalLanguage/automl/model_test.py
-// We make two models running this test, see hard-coded workaround below
-it.skip(`should create a dataset, import data, and start making a model`, async () => {
-  // Check to see that this dataset does not yet exist
-  let output = await tools.runAsync(`${cmdDataset} list-datasets`);
-  assert.notStrictEqual(RegExp(`dummyDataset`).test(output));
-
-  // Create dataset
-  output = await tools.runAsync(
-    `${cmdDataset} create-dataset -n "${dummyDataSet}"`
-  );
-
-  const dataSetId = output
-    .split(`\n`)[1]
-    .split(`:`)[1]
-    .trim();
-  assert(RegExp(`Dataset display name:  dummyDataSet`).test(output));
-
-  // Import Data
-  output = await tools.runAsync(
-    `${cmdDataset} import-data -i "${dataSetId}" -p "gs://nodejs-docs-samples-vcm/happiness.csv"`
-  );
-  assert(RegExp(`Data imported.`).test(output));
-
-  // Check to make sure model doesn't already exist
-  output = await tools.runAsync(`${cmdModel} list-models`);
-  assert.notStrictEqual(RegExp(`dummyModel`).test(output));
-
-  // Begin training dataset, getting operation ID for next operation
-  output = await tools.runAsync(
-    `${cmdModel} create-model -i "${dataSetId}" -m "${testModelName}" -t "2"`
-  );
-  const operationName = output
-    .split(`\n`)[0]
-    .split(`:`)[1]
-    .trim();
-  assert(RegExp(`Training started...`).test(output));
-
-  // Poll operation status, here confirming that operation is not complete yet
-  output = await tools.runAsync(
-    `${cmdModel} get-operation-status -i "${dataSetId}" -o "${operationName}"`
-  );
-  assert(RegExp(`done: false`).test(output));
-});
-
-it(`should display evaluation from prexisting model`, async () => {
-  const donotdeleteModelId = `TCN4740161257642267869`;
-
-  // Confirm dataset exists
-  let output = await tools.runAsync(`${cmdDataset} list-datasets`);
-  assert(RegExp(`dummyDb`).test(output));
-
-  // List model evaluations, confirm model exists
-  output = await tools.runAsync(
-    `${cmdModel} list-model-evaluations -a "${donotdeleteModelId}"`
-  );
-
-  // Display evaluation
-  output = await tools.runAsync(
-    `${cmdModel} display-evaluation -a "${donotdeleteModelId}"`
-  );
-  assert(RegExp(`Model Precision:`).test(output));
-});
-
-it(`should run Prediction from prexisting model`, async () => {
-  const donotdeleteModelId = `TCN4740161257642267869`;
-
-  // Confirm dataset exists
-  let output = await tools.runAsync(`${cmdDataset} list-datasets`);
-  assert(RegExp(`do_not_delete_me`).test(output));
-
-  // List model evaluations, confirm model exists
-  output = await tools.runAsync(
-    `${cmdModel} list-model-evaluations -a "${donotdeleteModelId}"`
-  );
-  assert(RegExp(`classificationEvaluationMetrics:`).test(output));
-
-  // Run prediction on 'test.txt' in resources folder
-  output = await tools.runAsync(
-    `${cmdPredict} predict -i "${donotdeleteModelId}" -f "${sampleText}" -s "0.5"`
-  );
-  assert(RegExp(`Firm_Cheese`).test(output));
-});
-
-// List datasets
-it(`should list datasets`, async () => {
-  const output = await tools.runAsync(`${cmdDataset} list-datasets`);
-  assert(RegExp(`List of datasets:`).test(output));
-});
diff --git a/cloud-language/snippets/automl/system-test/mocha.opts b/cloud-language/snippets/automl/system-test/mocha.opts
deleted file mode 100644
index f30d8e67d4..0000000000
--- a/cloud-language/snippets/automl/system-test/mocha.opts
+++ /dev/null
@@ -1,2 +0,0 @@
---timeout 20000
---throw-deprecation
\ No newline at end of file
diff --git a/cloud-language/snippets/package.json b/cloud-language/snippets/package.json
index 63c02e645a..aa2c4cb28a 100644
--- a/cloud-language/snippets/package.json
+++ b/cloud-language/snippets/package.json
@@ -12,7 +12,7 @@
     "resources"
   ],
   "scripts": {
-    "test": "mocha"
+    "test": "mocha --timeout 60000"
   },
   "dependencies": {
     "@google-cloud/automl": "^0.1.1",
@@ -22,7 +22,8 @@
     "yargs": "^12.0.0"
   },
   "devDependencies": {
-    "@google-cloud/nodejs-repo-tools": "^3.0.0",
+    "chai": "^4.2.0",
+    "execa": "^1.0.0",
     "mocha": "^5.2.0",
     "uuid": "^3.2.1"
   }
diff --git a/cloud-language/snippets/quickstart.js b/cloud-language/snippets/quickstart.js
index eaae8c5ecc..858c30b011 100644
--- a/cloud-language/snippets/quickstart.js
+++ b/cloud-language/snippets/quickstart.js
@@ -16,7 +16,7 @@
 'use strict';
 
 // [START language_quickstart]
-async function main() {
+async function quickstart() {
   // Imports the Google Cloud client library
   const language = require('@google-cloud/language');
 
@@ -39,6 +39,6 @@ async function main() {
   console.log(`Sentiment score: ${sentiment.score}`);
   console.log(`Sentiment magnitude: ${sentiment.magnitude}`);
 }
-
-main().catch(console.error);
 // [END language_quickstart]
+
+quickstart().catch(console.error);
diff --git a/cloud-language/snippets/test/analyze.v1.test.js b/cloud-language/snippets/test/analyze.v1.test.js
index 90c6c3f5ad..95e3e2c28e 100644
--- a/cloud-language/snippets/test/analyze.v1.test.js
+++ b/cloud-language/snippets/test/analyze.v1.test.js
@@ -15,137 +15,124 @@
 
 'use strict';
 
-const fs = require(`fs`);
-const path = require(`path`);
-const {Storage} = require(`@google-cloud/storage`);
-const storage = new Storage();
-const assert = require(`assert`);
-const tools = require(`@google-cloud/nodejs-repo-tools`);
-const uuid = require(`uuid`);
-
-const cmd = `node analyze.v1.js`;
-const cwd = path.join(__dirname, `..`);
-const bucketName = `nodejs-docs-samples-test-${uuid.v4()}`;
-const fileName = `text.txt`;
-const fileName2 = `android_text.txt`;
-const localFilePath = path.join(__dirname, `../resources/${fileName}`);
-const localFilePath2 = path.join(__dirname, `../resources/${fileName2}`);
-const text = fs.readFileSync(localFilePath, 'utf-8');
-const text2 = fs.readFileSync(localFilePath2, 'utf-8');
-
-before(async () => {
-  tools.checkCredentials();
-  const [bucket] = await storage.createBucket(bucketName);
-  await bucket.upload(localFilePath);
-  await bucket.upload(localFilePath2);
-});
-
-after(async () => {
-  const bucket = storage.bucket(bucketName);
-  await bucket.deleteFiles({force: true});
-  await bucket.deleteFiles({force: true}); // Try a second time...
-  await bucket.delete();
-});
-
-beforeEach(async () => tools.stubConsole);
-afterEach(async () => tools.restoreConsole);
-
-it(`should analyze sentiment in text`, async () => {
-  const output = await tools.runAsync(`${cmd} sentiment-text "${text}"`, cwd);
-  assert(RegExp(`Document sentiment:`).test(output));
-  assert(RegExp(`Sentence: ${text}`).test(output));
-  assert(RegExp(`Score: 0`).test(output));
-  assert(RegExp(`Magnitude: 0`).test(output));
-});
-
-it(`should analyze sentiment in a file`, async () => {
-  const output = await tools.runAsync(
-    `${cmd} sentiment-file ${bucketName} ${fileName}`,
-    cwd
-  );
-  assert(output, new RegExp(`Document sentiment:`).test(output));
-  assert(RegExp(`Sentence: ${text}`).test(output));
-  assert(RegExp(`Score: 0`).test(output));
-  assert(RegExp(`Magnitude: 0`).test(output));
-});
-
-it(`should analyze entities in text`, async () => {
-  const output = await tools.runAsync(`${cmd} entities-text "${text}"`, cwd);
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`Type: PERSON`).test(output));
-  assert(RegExp(`White House`).test(output));
-  assert(RegExp(`Type: LOCATION`).test(output));
-});
-
-it('should analyze entities in a file', async () => {
-  const output = await tools.runAsync(
-    `${cmd} entities-file ${bucketName} ${fileName}`,
-    cwd
-  );
-  assert(RegExp(`Entities:`).test(output));
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`Type: PERSON`).test(output));
-  assert(RegExp(`White House`).test(output));
-  assert(RegExp(`Type: LOCATION`).test(output));
-});
-
-it(`should analyze syntax in text`, async () => {
-  const output = await tools.runAsync(`${cmd} syntax-text "${text}"`, cwd);
-  assert(RegExp(`Tokens:`).test(output));
-  assert(RegExp(`NOUN:`).test(output));
-  assert(RegExp(`President`).test(output));
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`Morphology:`).test(output));
-  assert(RegExp(`tag: 'NOUN'`).test(output));
-});
-
-it('should analyze syntax in a file', async () => {
-  const output = await tools.runAsync(
-    `${cmd} syntax-file ${bucketName} ${fileName}`,
-    cwd
-  );
-  assert(RegExp(`NOUN:`).test(output));
-  assert(RegExp(`President`).test(output));
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`Morphology:`).test(output));
-  assert(RegExp(`tag: 'NOUN'`).test(output));
-});
-
-it(`should analyze entity sentiment in text`, async () => {
-  const output = await tools.runAsync(
-    `${cmd} entity-sentiment-text "${text}"`,
-    cwd
-  );
-  assert(RegExp(`Entities and sentiments:`).test(output));
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`PERSON`).test(output));
-  assert(RegExp(`Score: 0`).test(output));
-  assert(RegExp(`Magnitude: 0`).test(output));
-});
-
-it('should analyze entity sentiment in a file', async () => {
-  const output = await tools.runAsync(
-    `${cmd} entity-sentiment-file ${bucketName} ${fileName}`,
-    cwd
-  );
-  assert(RegExp(`Entities and sentiments:`).test(output));
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`PERSON`).test(output));
-  assert(RegExp(`Score: 0`).test(output));
-  assert(RegExp(`Magnitude: 0`).test(output));
-});
-
-it('should classify text in a file', async () => {
-  const output = await tools.runAsync(
-    `${cmd} classify-file ${bucketName} ${fileName2}`,
-    cwd
-  );
-  assert(RegExp(`Name:`).test(output));
-  assert(RegExp(`Computers & Electronics`).test(output));
-});
-
-it('should classify text in text', async () => {
-  const output = await tools.runAsync(`${cmd} classify-text "${text2}"`, cwd);
-  assert(RegExp(`Name:`).test(output));
-  assert(RegExp(`Computers & Electronics`).test(output));
+const fs = require('fs');
+const path = require('path');
+const {Storage} = require('@google-cloud/storage');
+const {assert} = require('chai');
+const execa = require('execa');
+const uuid = require('uuid');
+
+const exec = async cmd => (await execa.shell(cmd)).stdout;
+
+describe('analyze.v1', () => {
+  const storage = new Storage();
+  const cmd = 'node analyze.v1.js';
+  const bucketName = `nodejs-docs-samples-test-${uuid.v4()}`;
+  const fileName = `text.txt`;
+  const fileName2 = `android_text.txt`;
+  const localFilePath = path.join(__dirname, `../resources/${fileName}`);
+  const localFilePath2 = path.join(__dirname, `../resources/${fileName2}`);
+  const text = fs.readFileSync(localFilePath, 'utf-8');
+  const text2 = fs.readFileSync(localFilePath2, 'utf-8');
+
+  before(async () => {
+    const [bucket] = await storage.createBucket(bucketName);
+    await bucket.upload(localFilePath);
+    await bucket.upload(localFilePath2);
+  });
+
+  after(async () => {
+    const bucket = storage.bucket(bucketName);
+    await bucket.deleteFiles({force: true});
+    await bucket.deleteFiles({force: true}); // Try a second time...
+    await bucket.delete();
+  });
+
+  it('should analyze sentiment in text', async () => {
+    const output = await exec(`${cmd} sentiment-text "${text}"`);
+    assert.match(output, /Document sentiment:/);
+    assert.match(output, new RegExp(`Sentence: ${text}`));
+    assert.match(output, /Score: 0/);
+    assert.match(output, /Magnitude: 0/);
+  });
+
+  it('should analyze sentiment in a file', async () => {
+    const output = await exec(
+      `${cmd} sentiment-file ${bucketName} ${fileName}`
+    );
+    assert(output, /Document sentiment:/);
+    assert.match(output, new RegExp(`Sentence: ${text}`));
+    assert.match(output, /Score: 0/);
+    assert.match(output, /Magnitude: 0/);
+  });
+
+  it('should analyze entities in text', async () => {
+    const output = await exec(`${cmd} entities-text "${text}"`);
+    assert.match(output, /Obama/);
+    assert.match(output, /Type: PERSON/);
+    assert.match(output, /White House/);
+    assert.match(output, /Type: LOCATION/);
+  });
+
+  it('should analyze entities in a file', async () => {
+    const output = await exec(`${cmd} entities-file ${bucketName} ${fileName}`);
+    assert.match(output, /Entities:/);
+    assert.match(output, /Obama/);
+    assert.match(output, /Type: PERSON/);
+    assert.match(output, /White House/);
+    assert.match(output, /Type: LOCATION/);
+  });
+
+  it('should analyze syntax in text', async () => {
+    const output = await exec(`${cmd} syntax-text "${text}"`);
+    assert.match(output, /Tokens:/);
+    assert.match(output, /NOUN:/);
+    assert.match(output, /President/);
+    assert.match(output, /Obama/);
+    assert.match(output, /Morphology:/);
+    assert.match(output, /tag: 'NOUN'/);
+  });
+
+  it('should analyze syntax in a file', async () => {
+    const output = await exec(`${cmd} syntax-file ${bucketName} ${fileName}`);
+    assert.match(output, /NOUN:/);
+    assert.match(output, /President/);
+    assert.match(output, /Obama/);
+    assert.match(output, /Morphology:/);
+    assert.match(output, /tag: 'NOUN'/);
+  });
+
+  it('should analyze entity sentiment in text', async () => {
+    const output = await exec(`${cmd} entity-sentiment-text "${text}"`);
+    assert.match(output, /Entities and sentiments:/);
+    assert.match(output, /Obama/);
+    assert.match(output, /PERSON/);
+    assert.match(output, /Score: 0/);
+    assert.match(output, /Magnitude: 0/);
+  });
+
+  it('should analyze entity sentiment in a file', async () => {
+    const output = await exec(
+      `${cmd} entity-sentiment-file ${bucketName} ${fileName}`
+    );
+    assert.match(output, /Entities and sentiments:/);
+    assert.match(output, /Obama/);
+    assert.match(output, /PERSON/);
+    assert.match(output, /Score: 0/);
+    assert.match(output, /Magnitude: 0/);
+  });
+
+  it('should classify text in a file', async () => {
+    const output = await exec(
+      `${cmd} classify-file ${bucketName} ${fileName2}`
+    );
+    assert.match(output, /Name:/);
+    assert.match(output, /Computers & Electronics/);
+  });
+
+  it('should classify text in text', async () => {
+    const output = await exec(`${cmd} classify-text "${text2}"`);
+    assert.match(output, /Name:/);
+    assert.match(output, /Computers & Electronics/);
+  });
 });
diff --git a/cloud-language/snippets/test/analyze.v1beta2.test.js b/cloud-language/snippets/test/analyze.v1beta2.test.js
index 3602d9c861..9277805284 100644
--- a/cloud-language/snippets/test/analyze.v1beta2.test.js
+++ b/cloud-language/snippets/test/analyze.v1beta2.test.js
@@ -15,16 +15,16 @@
 
 'use strict';
 
-const fs = require(`fs`);
-const path = require(`path`);
-const {Storage} = require(`@google-cloud/storage`);
-const storage = new Storage();
-const assert = require('assert');
-const tools = require(`@google-cloud/nodejs-repo-tools`);
-const uuid = require(`uuid`);
+const fs = require('fs');
+const path = require('path');
+const {Storage} = require('@google-cloud/storage');
+const {assert} = require('chai');
+const execa = require('execa');
+const uuid = require('uuid');
 
-const cmd = `node analyze.v1beta2.js`;
-const cwd = path.join(__dirname, `..`);
+const exec = async cmd => (await execa.shell(cmd)).stdout;
+const storage = new Storage();
+const cmd = 'node analyze.v1beta2.js';
 const bucketName = `nodejs-docs-samples-test-${uuid.v4()}`;
 const fileName = `text.txt`;
 const fileName2 = `android_text.txt`;
@@ -32,107 +32,94 @@ const localFilePath = path.join(__dirname, `../resources/${fileName}`);
 const localFilePath2 = path.join(__dirname, `../resources/${fileName2}`);
 const text = fs.readFileSync(localFilePath, 'utf-8');
 const text2 = fs.readFileSync(localFilePath2, 'utf-8');
-const germanText = `Willkommen bei München`;
+const germanText = 'Willkommen bei München';
 
-before(async () => {
-  tools.checkCredentials();
-  const [bucket] = await storage.createBucket(bucketName);
-  await bucket.upload(localFilePath);
-  await bucket.upload(localFilePath2);
-});
+describe('analyze.v1beta2', () => {
+  before(async () => {
+    const [bucket] = await storage.createBucket(bucketName);
+    await bucket.upload(localFilePath);
+    await bucket.upload(localFilePath2);
+  });
 
-after(async () => {
-  const bucket = storage.bucket(bucketName);
-  await bucket.deleteFiles({force: true});
-  await bucket.deleteFiles({force: true}); // Try a second time...
-  await bucket.delete();
-});
+  after(async () => {
+    const bucket = storage.bucket(bucketName);
+    await bucket.deleteFiles({force: true});
+    await bucket.deleteFiles({force: true}); // Try a second time...
+    await bucket.delete();
+  });
 
-beforeEach(async () => tools.stubConsole);
-afterEach(async () => tools.restoreConsole);
+  it(`should analyze sentiment in text`, async () => {
+    const output = await exec(`${cmd} sentiment-text "${text}"`);
+    assert.match(output, /Document sentiment:/);
+    assert.match(output, new RegExp(`Sentence: ${text}`));
+    assert.match(output, /Score: 0/);
+    assert.match(output, /Magnitude: 0/);
+  });
 
-it(`should analyze sentiment in text`, async () => {
-  const output = await tools.runAsync(`${cmd} sentiment-text "${text}"`, cwd);
-  assert(RegExp(`Document sentiment:`).test(output));
-  assert(RegExp(`Sentence: ${text}`).test(output));
-  assert(RegExp(`Score: 0`).test(output));
-  assert(RegExp(`Magnitude: 0`).test(output));
-});
+  it(`should analyze sentiment in a file`, async () => {
+    const output = await exec(
+      `${cmd} sentiment-file ${bucketName} ${fileName}`
+    );
+    assert.match(output, /Document sentiment:/);
+    assert.match(output, new RegExp(`Sentence: ${text}`));
+    assert.match(output, /Score: 0/);
+    assert.match(output, /Magnitude: 0/);
+  });
 
-it(`should analyze sentiment in a file`, async () => {
-  const output = await tools.runAsync(
-    `${cmd} sentiment-file ${bucketName} ${fileName}`,
-    cwd
-  );
-  assert(RegExp(`Document sentiment:`).test(output));
-  assert(RegExp(`Sentence: ${text}`).test(output));
-  assert(RegExp(`Score: 0`).test(output));
-  assert(RegExp(`Magnitude: 0`).test(output));
-});
+  it(`should analyze entities in text`, async () => {
+    const output = await exec(`${cmd} entities-text "${text}"`);
+    assert.match(output, /Obama/);
+    assert.match(output, /Type: PERSON/);
+    assert.match(output, /White House/);
+    assert.match(output, /Type: LOCATION/);
+  });
 
-it(`should analyze entities in text`, async () => {
-  const output = await tools.runAsync(`${cmd} entities-text "${text}"`, cwd);
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`Type: PERSON`).test(output));
-  assert(RegExp(`White House`).test(output));
-  assert(RegExp(`Type: LOCATION`).test(output));
-});
+  it('should analyze entities in a file', async () => {
+    const output = await exec(`${cmd} entities-file ${bucketName} ${fileName}`);
+    assert.match(output, /Entities:/);
+    assert.match(output, /Type: PERSON/);
+    assert.match(output, /White House/);
+    assert.match(output, /Type: LOCATION/);
+  });
 
-it('should analyze entities in a file', async () => {
-  const output = await tools.runAsync(
-    `${cmd} entities-file ${bucketName} ${fileName}`,
-    cwd
-  );
-  assert(RegExp(`Entities:`).test(output));
-  assert(RegExp(`Type: PERSON`).test(output));
-  assert(RegExp(`White House`).test(output));
-  assert(RegExp(`Type: LOCATION`).test(output));
-});
-
-it(`should analyze syntax in text`, async () => {
-  const output = await tools.runAsync(`${cmd} syntax-text "${text}"`, cwd);
-  assert(RegExp(`Parts of speech:`).test(output));
-  assert(RegExp(`NOUN:`).test(output));
-  assert(RegExp(`President`).test(output));
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`Morphology:`).test(output));
-  assert(RegExp(`tag: 'NOUN'`).test(output));
-});
+  it(`should analyze syntax in text`, async () => {
+    const output = await exec(`${cmd} syntax-text "${text}"`);
+    assert.match(output, /Parts of speech:/);
+    assert.match(output, /NOUN:/);
+    assert.match(output, /President/);
+    assert.match(output, /Obama/);
+    assert.match(output, /Morphology:/);
+    assert.match(output, /tag: 'NOUN'/);
+  });
 
-it('should analyze syntax in a file', async () => {
-  const output = await tools.runAsync(
-    `${cmd} syntax-file ${bucketName} ${fileName}`,
-    cwd
-  );
-  assert(RegExp(`NOUN:`).test(output));
-  assert(RegExp(`President`).test(output));
-  assert(RegExp(`Obama`).test(output));
-  assert(RegExp(`Morphology:`).test(output));
-  assert(RegExp(`tag: 'NOUN'`).test(output));
-});
+  it('should analyze syntax in a file', async () => {
+    const output = await exec(`${cmd} syntax-file ${bucketName} ${fileName}`);
+    assert.match(output, /NOUN:/);
+    assert.match(output, /President/);
+    assert.match(output, /Obama/);
+    assert.match(output, /Morphology:/);
+    assert.match(output, /tag: 'NOUN'/);
+  });
 
-it('should analyze syntax in a 1.1 language (German)', async () => {
-  const output = await tools.runAsync(
-    `${cmd} syntax-text "${germanText}"`,
-    cwd
-  );
-  assert(RegExp(`Parts of speech:`).test(output));
-  assert(RegExp(`ADV: Willkommen`).test(output));
-  assert(RegExp(`ADP: bei`).test(output));
-  assert(RegExp(`NOUN: München`).test(output));
-});
+  it('should analyze syntax in a 1.1 language (German)', async () => {
+    const output = await exec(`${cmd} syntax-text "${germanText}"`);
+    assert.match(output, /Parts of speech:/);
+    assert.match(output, /ADV: Willkommen/);
+    assert.match(output, /ADP: bei/);
+    assert.match(output, /NOUN: München/);
+  });
 
-it('should classify text in a file', async () => {
-  const output = await tools.runAsync(
-    `${cmd} classify-file ${bucketName} ${fileName2}`,
-    cwd
-  );
-  assert(RegExp(`Name:`).test(output));
-  assert(RegExp(`Computers & Electronics`).test(output));
-});
+  it('should classify text in a file', async () => {
+    const output = await exec(
+      `${cmd} classify-file ${bucketName} ${fileName2}`
+    );
+    assert.match(output, /Name:/);
+    assert.match(output, /Computers & Electronics/);
+  });
 
-it('should classify text in text', async () => {
-  const output = await tools.runAsync(`${cmd} classify-text "${text2}"`, cwd);
-  assert(RegExp(`Name:`).test(output));
-  assert(RegExp(`Computers & Electronics`).test(output));
+  it('should classify text in text', async () => {
+    const output = await exec(`${cmd} classify-text "${text2}"`);
+    assert.match(output, /Name:/);
+    assert.match(output, /Computers & Electronics/);
+  });
 });
diff --git a/cloud-language/snippets/test/automlNaturalLanguage.test.js b/cloud-language/snippets/test/automlNaturalLanguage.test.js
new file mode 100644
index 0000000000..d4829a2209
--- /dev/null
+++ b/cloud-language/snippets/test/automlNaturalLanguage.test.js
@@ -0,0 +1,139 @@
+/**
+ * Copyright 2018, Google, LLC.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+'use strict';
+
+const {assert} = require('chai');
+const execa = require('execa');
+
+const cmdDataset = 'node automl/automlNaturalLanguageDataset.js';
+const cmdModel = 'node automl/automlNaturalLanguageModel.js';
+const cmdPredict = 'node automl/automlNaturalLanguagePredict.js';
+
+const testDataSetName = 'testDataset';
+const dummyDataSet = 'dummyDataset';
+const testModelName = 'dummyModel';
+const sampleText = './resources/test.txt';
+const projectId = process.env.GCLOUD_PROJECT;
+
+const exec = async cmd => (await execa.shell(cmd)).stdout;
+
+describe.skip('automl', () => {
+  // Skipped because it's been taking too long to delete datasets
+  it('should create a create, list, and delete a dataset', async () => {
+    // Check to see that this dataset does not yet exist
+    let output = await exec(`${cmdDataset} list-datasets`);
+    //t.false(output.includes(testDataSetName));
+    assert.notMatch(output, /testDataset/);
+
+    // Create dataset
+    output = await exec(`${cmdDataset} create-dataset -n "${testDataSetName}"`);
+    const parsedOut = output.split('\n');
+    const dataSetId = parsedOut[1].split(':')[1].trim();
+    assert.match(output, /Dataset display name: {2}testDataset/);
+
+    // Delete dataset
+    output = await exec(`${cmdDataset} delete-dataset -i "${dataSetId}"`);
+    assert.match(output, /Dataset deleted./);
+  });
+
+  // See : https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/NaturalLanguage/automl/model_test.py
+  // We make two models running this test, see hard-coded workaround below
+  it('should create a dataset, import data, and start making a model', async () => {
+    // Check to see that this dataset does not yet exist
+    let output = await exec(`${cmdDataset} list-datasets`);
+    assert.notMatch(output, /dummyDataset/);
+
+    // Create dataset
+    output = await exec(`${cmdDataset} create-dataset -n "${dummyDataSet}"`);
+
+    const dataSetId = output
+      .split('\n')[1]
+      .split(':')[1]
+      .trim();
+    assert.match(output, /Dataset display name: {2}dummyDataSet/);
+
+    // Import Data
+    output = await exec(
+      `${cmdDataset} import-data -i "${dataSetId}" -p "gs://nodejs-docs-samples-vcm/happiness.csv"`
+    );
+    assert.match(output, /Data imported./);
+
+    // Check to make sure model doesn't already exist
+    output = await exec(`${cmdModel} list-models`);
+    assert.notMatch(output, /dummyModel/);
+
+    // Begin training dataset, getting operation ID for next operation
+    output = await exec(
+      `${cmdModel} create-model -i "${dataSetId}" -m "${testModelName}" -t "2"`
+    );
+    const operationName = output
+      .split('\n')[0]
+      .split(':')[1]
+      .trim();
+    assert.match(output, /Training started.../);
+
+    // Poll operation status, here confirming that operation is not complete yet
+    output = await exec(
+      `${cmdModel} get-operation-status -i "${dataSetId}" -o "${operationName}"`
+    );
+    assert.match(output, /done: false/);
+  });
+
+  it('should display evaluation from prexisting model', async () => {
+    const donotdeleteModelId = `TCN4740161257642267869`;
+
+    // Confirm dataset exists
+    let output = await exec(`${cmdDataset} list-datasets`);
+    assert.match(output, /dummyDb/);
+
+    // List model evaluations, confirm model exists
+    output = await exec(
+      `${cmdModel} list-model-evaluations -a "${donotdeleteModelId}"`
+    );
+
+    // Display evaluation
+    output = await exec(
+      `${cmdModel} display-evaluation -a "${donotdeleteModelId}"`
+    );
+    assert.match(output, /Model Precision:/);
+  });
+
+  it('should run Prediction from prexisting model', async () => {
+    const donotdeleteModelId = `TCN4740161257642267869`;
+
+    // Confirm dataset exists
+    let output = await exec(`${cmdDataset} list-datasets`);
+    assert.match(output, /do_not_delete_me/);
+
+    // List model evaluations, confirm model exists
+    output = await exec(
+      `${cmdModel} list-model-evaluations -a "${donotdeleteModelId}"`
+    );
+    assert.match(output, /classificationEvaluationMetrics:/);
+
+    // Run prediction on 'test.txt' in resources folder
+    output = await exec(
+      `${cmdPredict} predict -i "${donotdeleteModelId}" -f "${sampleText}" -s "0.5"`
+    );
+    assert.match(output, /Firm_Cheese/);
+  });
+
+  // List datasets
+  it('should list datasets', async () => {
+    const output = await exec(`${cmdDataset} list-datasets ${projectId}`);
+    assert.match(output, /List of datasets:/);
+  });
+});
diff --git a/cloud-language/snippets/test/mocha.opts b/cloud-language/snippets/test/mocha.opts
deleted file mode 100644
index 2a50a27188..0000000000
--- a/cloud-language/snippets/test/mocha.opts
+++ /dev/null
@@ -1,2 +0,0 @@
---timeout 20000
---throw-deprecation
diff --git a/cloud-language/snippets/test/quickstart.test.js b/cloud-language/snippets/test/quickstart.test.js
index 12dd4f193d..e4fa6f8bd1 100644
--- a/cloud-language/snippets/test/quickstart.test.js
+++ b/cloud-language/snippets/test/quickstart.test.js
@@ -15,19 +15,14 @@
 
 'use strict';
 
-const path = require(`path`);
-const assert = require('assert');
-const tools = require(`@google-cloud/nodejs-repo-tools`);
+const {assert} = require('chai');
+const execa = require('execa');
 
-const cmd = `node quickstart.js`;
-const cwd = path.join(__dirname, `..`);
-
-beforeEach(async () => tools.stubConsole);
-afterEach(async () => tools.restoreConsole);
-
-it(`should analyze sentiment in text`, async () => {
-  const output = await tools.runAsync(cmd, cwd);
-  assert(RegExp('Text: Hello, world!').test(output));
-  assert(RegExp('Sentiment score: ').test(output));
-  assert(RegExp('Sentiment magnitude: ').test(output));
+describe('quickstart', () => {
+  it('should analyze sentiment in text', async () => {
+    const {stdout} = await execa.shell('node quickstart.js');
+    assert(stdout, /Text: Hello, world!/);
+    assert(stdout, /Sentiment score: /);
+    assert(stdout, /Sentiment magnitude: /);
+  });
 });