diff --git a/samples/src/main/java/com/google/ai/client/generative/samples/code_execution.kt b/samples/src/main/java/com/google/ai/client/generative/samples/code_execution.kt
new file mode 100644
index 00000000..7fcbe1e0
--- /dev/null
+++ b/samples/src/main/java/com/google/ai/client/generative/samples/code_execution.kt
@@ -0,0 +1,63 @@
+/*
+ * Copyright 2024 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.
+ */
+
+package com.google.ai.client.generative.samples
+
+import com.google.ai.client.generativeai.GenerativeModel
+import com.google.ai.client.generativeai.type.Tool
+
+// Set up your API Key
+// ====================
+//
+// To use the Gemini API, you'll need an API key. To learn more, see
+// the "Set up your API Key section" in the [Gemini API
+// quickstart](https://ai.google.dev/gemini-api/docs/quickstart?lang=android#set-up-api-key).
+
+suspend fun codeExecutionBasic() {
+ // [START code_execution_basic]
+
+ val model = GenerativeModel(
+ // Specify a Gemini model appropriate for your use case
+ modelName = "gemini-1.5-pro",
+ // Access your API key as a Build Configuration variable (see "Set up your API key" above)
+ apiKey = BuildConfig.apiKey,
+ tools = listOf(Tool.CODE_EXECUTION)
+ )
+
+ val response = model.generateContent("What is the sum of the first 50 prime numbers?")
+
+ println(response.text)
+ // [END code_execution_basic]
+}
+
+suspend fun codeExecutionChat() {
+ // [START code_execution_chat]
+
+ val model = GenerativeModel(
+ // Specify a Gemini model appropriate for your use case
+ modelName = "gemini-1.5-pro",
+ // Access your API key as a Build Configuration variable (see "Set up your API key" above)
+ apiKey = BuildConfig.apiKey,
+ tools = listOf(Tool.CODE_EXECUTION)
+ )
+
+ val chat = model.startChat()
+
+ val response = chat.sendMessage("What is the sum of the first 50 prime numbers?")
+
+ println(response.text)
+ // [END code_execution_chat]
+}
\ No newline at end of file
diff --git a/samples/src/main/java/com/google/ai/client/generative/samples/java/code_execution.java b/samples/src/main/java/com/google/ai/client/generative/samples/java/code_execution.java
new file mode 100644
index 00000000..9bc2a5cc
--- /dev/null
+++ b/samples/src/main/java/com/google/ai/client/generative/samples/java/code_execution.java
@@ -0,0 +1,123 @@
+// Copyright 2024 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.
+
+package com.google.ai.client.generative.samples.java;
+
+
+import com.google.ai.client.generativeai.GenerativeModel;
+import com.google.ai.client.generativeai.java.ChatFutures;
+import com.google.ai.client.generativeai.java.GenerativeModelFutures;
+import com.google.ai.client.generativeai.type.Content;
+import com.google.ai.client.generativeai.type.GenerateContentResponse;
+import com.google.ai.client.generativeai.type.RequestOptions;
+import com.google.ai.client.generativeai.type.Tool;
+import com.google.common.util.concurrent.FutureCallback;
+import com.google.common.util.concurrent.Futures;
+import com.google.common.util.concurrent.ListenableFuture;
+
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.concurrent.Executor;
+import java.util.concurrent.Executors;
+
+// Set up your API Key
+// ====================
+//
+// To use the Gemini API, you'll need an API key. To learn more, see
+// the "Set up your API Key section" in the [Gemini API
+// quickstart](https://ai.google.dev/gemini-api/docs/quickstart?lang=android#set-up-api-key).
+class CodeExecution {
+
+ void codeExecutionBasic() {
+ // [START code_execution_basic]
+ // Specify a Gemini model appropriate for your use case
+ GenerativeModel gm =
+ new GenerativeModel(
+ /* modelName */ "gemini-1.5-pro",
+ // Access your API key as a Build Configuration variable (see "Set up your API key"
+ // above)
+ /* apiKey */ BuildConfig.apiKey,
+ /* generationConfig */ null,
+ /* safetySettings */ null,
+ /* requestOptions */ new RequestOptions(),
+ /* tools */ Collections.singletonList(Tool.Companion.getCODE_EXECUTION()));
+ GenerativeModelFutures model = GenerativeModelFutures.from(gm);
+
+ Content inputContent =
+ new Content.Builder().addText("What is the sum of the first 50 prime numbers?").build();
+
+ // For illustrative purposes only. You should use an executor that fits your needs.
+ Executor executor = Executors.newSingleThreadExecutor();
+
+ ListenableFuture<GenerateContentResponse> response = model.generateContent(inputContent);
+ Futures.addCallback(
+ response,
+ new FutureCallback<GenerateContentResponse>() {
+ @Override
+ public void onSuccess(GenerateContentResponse result) {
+ String resultText = result.getText();
+ System.out.println(resultText);
+ }
+
+ @Override
+ public void onFailure(Throwable t) {
+ t.printStackTrace();
+ }
+ },
+ executor);
+ // [END code_execution_basic]
+ }
+
+ void codeExecutionChat() {
+ // [START code_execution_chat]
+ // Specify a Gemini model appropriate for your use case
+ GenerativeModel gm =
+ new GenerativeModel(
+ /* modelName */ "gemini-1.5-pro",
+ // Access your API key as a Build Configuration variable (see "Set up your API key"
+ // above)
+ /* apiKey */ BuildConfig.apiKey,
+ /* generationConfig */ null,
+ /* safetySettings */ null,
+ /* requestOptions */ new RequestOptions(),
+ /* tools */ Collections.singletonList(Tool.Companion.getCODE_EXECUTION()));
+ GenerativeModelFutures model = GenerativeModelFutures.from(gm);
+
+ Content inputContent =
+ new Content.Builder().addText("What is the sum of the first 50 prime numbers?").build();
+
+ ChatFutures chat = model.startChat();
+
+ // For illustrative purposes only. You should use an executor that fits your needs.
+ Executor executor = Executors.newSingleThreadExecutor();
+
+ ListenableFuture<GenerateContentResponse> response = chat.sendMessage(inputContent);
+ Futures.addCallback(
+ response,
+ new FutureCallback<GenerateContentResponse>() {
+ @Override
+ public void onSuccess(GenerateContentResponse result) {
+ String resultText = result.getText();
+ System.out.println(resultText);
+ }
+
+ @Override
+ public void onFailure(Throwable t) {
+ t.printStackTrace();
+ }
+ },
+ executor);
+ // [END code_execution_chat]
+ }
+}