diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
index 8bd2fbe..cef76c6 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h
@@ -45,12 +45,15 @@
 
     nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
             const nn::Request& request, nn::MeasureTiming measure,
-            const nn::OptionalTimePoint& deadline,
-            const nn::OptionalDuration& loopTimeoutDuration) const override;
+            const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration,
+            const std::vector<nn::TokenValuePair>& hints,
+            const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
 
     nn::GeneralResult<nn::SharedExecution> createReusableExecution(
             const nn::Request& request, nn::MeasureTiming measure,
-            const nn::OptionalDuration& loopTimeoutDuration) const override;
+            const nn::OptionalDuration& loopTimeoutDuration,
+            const std::vector<nn::TokenValuePair>& hints,
+            const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
 
   private:
     const nn::SharedPreparedModel kPreparedModel;
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Device.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Device.h
index 0a6ca3e..d7c43ef 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Device.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Device.h
@@ -65,8 +65,9 @@
     nn::GeneralResult<nn::SharedPreparedModel> prepareModel(
             const nn::Model& model, nn::ExecutionPreference preference, nn::Priority priority,
             nn::OptionalTimePoint deadline, const std::vector<nn::SharedHandle>& modelCache,
-            const std::vector<nn::SharedHandle>& dataCache,
-            const nn::CacheToken& token) const override;
+            const std::vector<nn::SharedHandle>& dataCache, const nn::CacheToken& token,
+            const std::vector<nn::TokenValuePair>& hints,
+            const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
 
     nn::GeneralResult<nn::SharedPreparedModel> prepareModelFromCache(
             nn::OptionalTimePoint deadline, const std::vector<nn::SharedHandle>& modelCache,
diff --git a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h
index bdb5b54..337c132 100644
--- a/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h
+++ b/neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h
@@ -49,18 +49,23 @@
 
     nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
             const nn::Request& request, nn::MeasureTiming measure,
-            const nn::OptionalTimePoint& deadline,
-            const nn::OptionalDuration& loopTimeoutDuration) const override;
+            const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration,
+            const std::vector<nn::TokenValuePair>& hints,
+            const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
 
     nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> executeFenced(
             const nn::Request& request, const std::vector<nn::SyncFence>& waitFor,
             nn::MeasureTiming measure, const nn::OptionalTimePoint& deadline,
             const nn::OptionalDuration& loopTimeoutDuration,
-            const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+            const nn::OptionalDuration& timeoutDurationAfterFence,
+            const std::vector<nn::TokenValuePair>& hints,
+            const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
 
     nn::GeneralResult<nn::SharedExecution> createReusableExecution(
             const nn::Request& request, nn::MeasureTiming measure,
-            const nn::OptionalDuration& loopTimeoutDuration) const override;
+            const nn::OptionalDuration& loopTimeoutDuration,
+            const std::vector<nn::TokenValuePair>& hints,
+            const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
 
     nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
 
diff --git a/neuralnetworks/1.0/utils/src/Burst.cpp b/neuralnetworks/1.0/utils/src/Burst.cpp
index 1284721..3642bc6 100644
--- a/neuralnetworks/1.0/utils/src/Burst.cpp
+++ b/neuralnetworks/1.0/utils/src/Burst.cpp
@@ -50,15 +50,20 @@
 
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
         const nn::Request& request, nn::MeasureTiming measure,
-        const nn::OptionalTimePoint& deadline,
-        const nn::OptionalDuration& loopTimeoutDuration) const {
-    return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
+        const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration,
+        const std::vector<nn::TokenValuePair>& hints,
+        const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const {
+    return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration, hints,
+                                   extensionNameToPrefix);
 }
 
 nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution(
         const nn::Request& request, nn::MeasureTiming measure,
-        const nn::OptionalDuration& loopTimeoutDuration) const {
-    return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration);
+        const nn::OptionalDuration& loopTimeoutDuration,
+        const std::vector<nn::TokenValuePair>& hints,
+        const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const {
+    return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration, hints,
+                                                   extensionNameToPrefix);
 }
 
 }  // namespace android::hardware::neuralnetworks::V1_0::utils
diff --git a/neuralnetworks/1.0/utils/src/Device.cpp b/neuralnetworks/1.0/utils/src/Device.cpp
index b0c236e..620d040 100644
--- a/neuralnetworks/1.0/utils/src/Device.cpp
+++ b/neuralnetworks/1.0/utils/src/Device.cpp
@@ -143,7 +143,9 @@
 nn::GeneralResult<nn::SharedPreparedModel> Device::prepareModel(
         const nn::Model& model, nn::ExecutionPreference /*preference*/, nn::Priority /*priority*/,
         nn::OptionalTimePoint /*deadline*/, const std::vector<nn::SharedHandle>& /*modelCache*/,
-        const std::vector<nn::SharedHandle>& /*dataCache*/, const nn::CacheToken& /*token*/) const {
+        const std::vector<nn::SharedHandle>& /*dataCache*/, const nn::CacheToken& /*token*/,
+        const std::vector<nn::TokenValuePair>& /*hints*/,
+        const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
     // Ensure that model is ready for IPC.
     std::optional<nn::Model> maybeModelInShared;
     const nn::Model& modelInShared =
diff --git a/neuralnetworks/1.0/utils/src/PreparedModel.cpp b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
index 00e7d22..b8055fc 100644
--- a/neuralnetworks/1.0/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.0/utils/src/PreparedModel.cpp
@@ -59,7 +59,9 @@
 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> PreparedModel::execute(
         const nn::Request& request, nn::MeasureTiming /*measure*/,
         const nn::OptionalTimePoint& /*deadline*/,
-        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+        const nn::OptionalDuration& /*loopTimeoutDuration*/,
+        const std::vector<nn::TokenValuePair>& /*hints*/,
+        const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
     hal::utils::RequestRelocation relocation;
@@ -94,19 +96,22 @@
 }
 
 nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
-PreparedModel::executeFenced(const nn::Request& /*request*/,
-                             const std::vector<nn::SyncFence>& /*waitFor*/,
-                             nn::MeasureTiming /*measure*/,
-                             const nn::OptionalTimePoint& /*deadline*/,
-                             const nn::OptionalDuration& /*loopTimeoutDuration*/,
-                             const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+PreparedModel::executeFenced(
+        const nn::Request& /*request*/, const std::vector<nn::SyncFence>& /*waitFor*/,
+        nn::MeasureTiming /*measure*/, const nn::OptionalTimePoint& /*deadline*/,
+        const nn::OptionalDuration& /*loopTimeoutDuration*/,
+        const nn::OptionalDuration& /*timeoutDurationAfterFence*/,
+        const std::vector<nn::TokenValuePair>& /*hints*/,
+        const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
     return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
            << "IPreparedModel::executeFenced is not supported on 1.0 HAL service";
 }
 
 nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
         const nn::Request& request, nn::MeasureTiming /*measure*/,
-        const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+        const nn::OptionalDuration& /*loopTimeoutDuration*/,
+        const std::vector<nn::TokenValuePair>& /*hints*/,
+        const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
     // Ensure that request is ready for IPC.
     std::optional<nn::Request> maybeRequestInShared;
     hal::utils::RequestRelocation relocation;
diff --git a/neuralnetworks/1.0/utils/test/DeviceTest.cpp b/neuralnetworks/1.0/utils/test/DeviceTest.cpp
index 83e555f..9e9db16 100644
--- a/neuralnetworks/1.0/utils/test/DeviceTest.cpp
+++ b/neuralnetworks/1.0/utils/test/DeviceTest.cpp
@@ -380,7 +380,7 @@
 
     // run test
     const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
-                                             nn::Priority::DEFAULT, {}, {}, {}, {});
+                                             nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_TRUE(result.has_value())
@@ -399,7 +399,7 @@
 
     // run test
     const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
-                                             nn::Priority::DEFAULT, {}, {}, {}, {});
+                                             nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -417,7 +417,7 @@
 
     // run test
     const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
-                                             nn::Priority::DEFAULT, {}, {}, {}, {});
+                                             nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -435,7 +435,7 @@
 
     // run test
     const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
-                                             nn::Priority::DEFAULT, {}, {}, {}, {});
+                                             nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -452,7 +452,7 @@
 
     // run test
     const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
-                                             nn::Priority::DEFAULT, {}, {}, {}, {});
+                                             nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -469,7 +469,7 @@
 
     // run test
     const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
-                                             nn::Priority::DEFAULT, {}, {}, {}, {});
+                                             nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -488,7 +488,7 @@
 
     // run test
     const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
-                                             nn::Priority::DEFAULT, {}, {}, {}, {});
+                                             nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
diff --git a/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
index 7820c06..e03a98d 100644
--- a/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.0/utils/test/PreparedModelTest.cpp
@@ -121,7 +121,7 @@
             .WillOnce(Invoke(makeExecute(V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::NONE)));
 
     // run test
-    const auto result = preparedModel->execute({}, {}, {}, {});
+    const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
 
     // verify result
     EXPECT_TRUE(result.has_value())
@@ -138,7 +138,7 @@
                                          V1_0::ErrorStatus::GENERAL_FAILURE)));
 
     // run test
-    const auto result = preparedModel->execute({}, {}, {}, {});
+    const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -155,7 +155,7 @@
                     makeExecute(V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::GENERAL_FAILURE)));
 
     // run test
-    const auto result = preparedModel->execute({}, {}, {}, {});
+    const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -171,7 +171,7 @@
             .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
 
     // run test
-    const auto result = preparedModel->execute({}, {}, {}, {});
+    const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -187,7 +187,7 @@
             .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
 
     // run test
-    const auto result = preparedModel->execute({}, {}, {}, {});
+    const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -205,7 +205,7 @@
     EXPECT_CALL(*mockPreparedModel, execute(_, _)).Times(1).WillOnce(InvokeWithoutArgs(ret));
 
     // run test
-    const auto result = preparedModel->execute({}, {}, {}, {});
+    const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -218,7 +218,7 @@
     const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
 
     // run test
-    const auto result = preparedModel->executeFenced({}, {}, {}, {}, {}, {});
+    const auto result = preparedModel->executeFenced({}, {}, {}, {}, {}, {}, {}, {});
 
     // verify result
     ASSERT_FALSE(result.has_value());
@@ -235,7 +235,7 @@
             .WillRepeatedly(Invoke(makeExecute(V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::NONE)));
 
     // create execution
-    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
     ASSERT_TRUE(createResult.has_value())
             << "Failed with " << createResult.error().code << ": " << createResult.error().message;
     ASSERT_NE(createResult.value(), nullptr);
@@ -258,7 +258,7 @@
                                          V1_0::ErrorStatus::GENERAL_FAILURE)));
 
     // create execution
-    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
     ASSERT_TRUE(createResult.has_value())
             << "Failed with " << createResult.error().code << ": " << createResult.error().message;
     ASSERT_NE(createResult.value(), nullptr);
@@ -279,7 +279,7 @@
                     makeExecute(V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::GENERAL_FAILURE)));
 
     // create execution
-    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
     ASSERT_TRUE(createResult.has_value())
             << "Failed with " << createResult.error().code << ": " << createResult.error().message;
     ASSERT_NE(createResult.value(), nullptr);
@@ -299,7 +299,7 @@
             .WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
 
     // create execution
-    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
     ASSERT_TRUE(createResult.has_value())
             << "Failed with " << createResult.error().code << ": " << createResult.error().message;
     ASSERT_NE(createResult.value(), nullptr);
@@ -319,7 +319,7 @@
             .WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
 
     // create execution
-    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
     ASSERT_TRUE(createResult.has_value())
             << "Failed with " << createResult.error().code << ": " << createResult.error().message;
     ASSERT_NE(createResult.value(), nullptr);
@@ -341,7 +341,7 @@
     EXPECT_CALL(*mockPreparedModel, execute(_, _)).Times(1).WillOnce(InvokeWithoutArgs(ret));
 
     // create execution
-    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
     ASSERT_TRUE(createResult.has_value())
             << "Failed with " << createResult.error().code << ": " << createResult.error().message;
     ASSERT_NE(createResult.value(), nullptr);
@@ -358,7 +358,7 @@
     const auto preparedModel = PreparedModel::create(mockPreparedModel).value();
 
     // create execution
-    const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+    const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
     ASSERT_TRUE(createResult.has_value())
             << "Failed with " << createResult.error().code << ": " << createResult.error().message;
     ASSERT_NE(createResult.value(), nullptr);