diff --git a/README.md b/README.md
index ffcef26c..a6242a44 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
 <!--
-# Copyright 2020-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2020-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -54,6 +54,7 @@ any C++ code.
     - [`finalize`](#finalize)
   - [Model Config File](#model-config-file)
   - [Inference Request Parameters](#inference-request-parameters)
+  - [Inference Response Parameters](#inference-response-parameters)
   - [Managing Python Runtime and Libraries](#managing-python-runtime-and-libraries)
     - [Building Custom Python Backend Stub](#building-custom-python-backend-stub)
     - [Creating Custom Execution Environments](#creating-custom-execution-environments)
@@ -787,6 +788,24 @@ You can read more about the inference request parameters in the [parameters
 extension](https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_parameters.md)
 documentation.
 
+## Inference Response Parameters
+
+Inference response parameters may be optionally set during the construction of
+an inference response object. The parameters should be a dictionary of key value
+pairs, where keys are `str` and values are `bool`, `int` or `str`. For example,
+```python
+response = pb_utils.InferenceResponse(
+    output_tensors, parameters={"key": "value"}
+)
+```
+
+You can read more about the inference response parameters in the [parameters
+extension](https://github.com/triton-inference-server/server/blob/main/docs/protocol/extension_parameters.md)
+documentation.
+
+Inference response parameters is currently not supported on BLS inference
+responses received by BLS models.
+
 ## Managing Python Runtime and Libraries
 
 Python backend shipped in the [NVIDIA GPU Cloud](https://ngc.nvidia.com/)
diff --git a/src/infer_response.cc b/src/infer_response.cc
index 5a898a7e..a6b6847d 100644
--- a/src/infer_response.cc
+++ b/src/infer_response.cc
@@ -1,4 +1,4 @@
-// Copyright 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// Copyright 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 //
 // Redistribution and use in source and binary forms, with or without
 // modification, are permitted provided that the following conditions
@@ -39,8 +39,10 @@ namespace triton { namespace backend { namespace python {
 
 InferResponse::InferResponse(
     const std::vector<std::shared_ptr<PbTensor>>& output_tensors,
-    std::shared_ptr<PbError> error, const bool is_last_response, void* id)
-    : error_(error), is_last_response_(is_last_response), id_(id)
+    std::shared_ptr<PbError> error, std::string parameters,
+    const bool is_last_response, void* id)
+    : error_(error), is_last_response_(is_last_response), id_(id),
+      parameters_(std::move(parameters))
 {
   for (auto& output : output_tensors) {
     if (!output) {
@@ -58,6 +60,12 @@ InferResponse::OutputTensors()
   return output_tensors_;
 }
 
+const std::string&
+InferResponse::Parameters() const
+{
+  return parameters_;
+}
+
 bool
 InferResponse::HasError()
 {
@@ -106,6 +114,9 @@ InferResponse::SaveToSharedMemory(
       j++;
     }
     response_shm_ptr->id = id_;
+
+    parameters_shm_ = PbString::Create(shm_pool, parameters_);
+    response_shm_ptr->parameters = parameters_shm_->ShmHandle();
   }
 }
 
@@ -143,6 +154,8 @@ InferResponse::LoadFromSharedMemory(
 
   std::shared_ptr<PbError> pb_error;
   std::vector<std::shared_ptr<PbTensor>> output_tensors;
+  std::shared_ptr<PbString> parameters_shm;
+  std::string parameters;
 
   // If the error field is set, do not load output tensors from shared memory.
   if (response_shm_ptr->has_error && response_shm_ptr->is_error_set) {
@@ -154,26 +167,35 @@ InferResponse::LoadFromSharedMemory(
     bi::managed_external_buffer::handle_t* tensor_handle_shm =
         reinterpret_cast<bi::managed_external_buffer::handle_t*>(
             response_shm.data_.get() + sizeof(ResponseShm));
+    {
 #ifdef TRITON_PB_STUB
-    // Need to acquire the GIL to avoid hangs.
-    py::gil_scoped_acquire acquire;
+      // PbTensor::LoadFromSharedMemory() will construct Python objects if
+      // called from pb_stub, which requires holding the GIL.
+      py::gil_scoped_acquire acquire;
 #endif
-    for (size_t idx = 0; idx < requested_output_count; ++idx) {
-      std::shared_ptr<PbTensor> pb_tensor = PbTensor::LoadFromSharedMemory(
-          shm_pool, tensor_handle_shm[idx], open_cuda_handle);
-      output_tensors.emplace_back(std::move(pb_tensor));
+      for (size_t idx = 0; idx < requested_output_count; ++idx) {
+        std::shared_ptr<PbTensor> pb_tensor = PbTensor::LoadFromSharedMemory(
+            shm_pool, tensor_handle_shm[idx], open_cuda_handle);
+        output_tensors.emplace_back(std::move(pb_tensor));
+      }
     }
+
+    parameters_shm = std::move(
+        PbString::LoadFromSharedMemory(shm_pool, response_shm_ptr->parameters));
+    parameters = parameters_shm->String();
   }
 
   return std::unique_ptr<InferResponse>(new InferResponse(
       response_shm, output_tensors, pb_error,
-      response_shm_ptr->is_last_response, response_shm_ptr->id));
+      response_shm_ptr->is_last_response, response_shm_ptr->id, parameters_shm,
+      parameters));
 }
 
 InferResponse::InferResponse(
     AllocatedSharedMemory<char>& response_shm,
     std::vector<std::shared_ptr<PbTensor>>& output_tensors,
-    std::shared_ptr<PbError>& pb_error, const bool is_last_response, void* id)
+    std::shared_ptr<PbError>& pb_error, const bool is_last_response, void* id,
+    std::shared_ptr<PbString>& parameters_shm, std::string& parameters)
 {
   response_shm_ = std::move(response_shm);
   output_tensors_ = std::move(output_tensors);
@@ -181,6 +203,8 @@ InferResponse::InferResponse(
   shm_handle_ = response_shm_.handle_;
   id_ = id;
   is_last_response_ = is_last_response;
+  parameters_shm_ = std::move(parameters_shm);
+  parameters_ = std::move(parameters);
 }
 
 std::shared_ptr<PbError>&
@@ -387,6 +411,38 @@ InferResponse::Send(
     cuda_copy |= cuda_used;
   }
 
+  if (!parameters_.empty()) {
+    triton::common::TritonJson::Value param;
+    THROW_IF_TRITON_ERROR(
+        param.Parse(parameters_.c_str(), parameters_.length()));
+    std::vector<std::string> param_keys;
+    THROW_IF_TRITON_ERROR(param.Members(&param_keys));
+    for (const auto& key : param_keys) {
+      triton::common::TritonJson::Value value;
+      if (!param.Find(key.c_str(), &value)) {
+        throw PythonBackendException("Unexpected missing key on parameters");
+      }
+      if (value.IsString()) {
+        std::string string_value;
+        THROW_IF_TRITON_ERROR(value.AsString(&string_value));
+        THROW_IF_TRITON_ERROR(TRITONBACKEND_ResponseSetStringParameter(
+            response, key.c_str(), string_value.c_str()));
+      } else if (value.IsInt()) {
+        int64_t int_value = 0;
+        THROW_IF_TRITON_ERROR(value.AsInt(&int_value));
+        THROW_IF_TRITON_ERROR(TRITONBACKEND_ResponseSetIntParameter(
+            response, key.c_str(), int_value));
+      } else if (value.IsBool()) {
+        bool bool_value = false;
+        THROW_IF_TRITON_ERROR(value.AsBool(&bool_value));
+        THROW_IF_TRITON_ERROR(TRITONBACKEND_ResponseSetBoolParameter(
+            response, key.c_str(), bool_value));
+      } else {
+        throw PythonBackendException("Unsupported value type on parameters");
+      }
+    }
+  }
+
 #ifdef TRITON_ENABLE_GPU
   if (cuda_copy) {
     cudaStreamSynchronize(reinterpret_cast<cudaStream_t>(cuda_stream));
diff --git a/src/infer_response.h b/src/infer_response.h
index bdf31bb4..ab8eb68a 100644
--- a/src/infer_response.h
+++ b/src/infer_response.h
@@ -1,4 +1,4 @@
-// Copyright 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// Copyright 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 //
 // Redistribution and use in source and binary forms, with or without
 // modification, are permitted provided that the following conditions
@@ -38,6 +38,7 @@ namespace triton { namespace backend { namespace python {
 
 struct ResponseShm {
   uint32_t outputs_size;
+  bi::managed_external_buffer::handle_t parameters;
   bi::managed_external_buffer::handle_t error;
   bool has_error;
   // Indicates whether this error has a message or not.
@@ -72,9 +73,10 @@ class InferResponse {
  public:
   InferResponse(
       const std::vector<std::shared_ptr<PbTensor>>& output_tensors,
-      std::shared_ptr<PbError> error = nullptr,
+      std::shared_ptr<PbError> error = nullptr, std::string parameters = "",
       const bool is_last_response = true, void* id = nullptr);
   std::vector<std::shared_ptr<PbTensor>>& OutputTensors();
+  const std::string& Parameters() const;  // JSON serializable unless empty
   void SaveToSharedMemory(
       std::unique_ptr<SharedMemoryManager>& shm_pool, bool copy_gpu = true);
   static std::unique_ptr<InferResponse> LoadFromSharedMemory(
@@ -116,8 +118,8 @@ class InferResponse {
   InferResponse(
       AllocatedSharedMemory<char>& response_shm,
       std::vector<std::shared_ptr<PbTensor>>& output_tensors,
-      std::shared_ptr<PbError>& pb_error, const bool is_last_response,
-      void* id);
+      std::shared_ptr<PbError>& pb_error, const bool is_last_response, void* id,
+      std::shared_ptr<PbString>& parameters_shm, std::string& parameters);
   std::vector<std::shared_ptr<PbTensor>> output_tensors_;
 
   std::shared_ptr<PbError> error_;
@@ -128,6 +130,9 @@ class InferResponse {
   bool is_last_response_;
   // Representing the request id that the response was created from.
   void* id_;
+
+  std::shared_ptr<PbString> parameters_shm_;
+  std::string parameters_;
 };
 
 }}}  // namespace triton::backend::python
diff --git a/src/pb_stub.cc b/src/pb_stub.cc
index 51df5aa2..4e09ea1d 100644
--- a/src/pb_stub.cc
+++ b/src/pb_stub.cc
@@ -1,4 +1,4 @@
-// Copyright 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// Copyright 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 //
 // Redistribution and use in source and binary forms, with or without
 // modification, are permitted provided that the following conditions
@@ -104,6 +104,28 @@ PyDefaultArgumentToMutableType(const py::object& argument)
       std::string(py::str(argument.get_type())));
 }
 
+std::string
+PyParametersToJSON(const py::dict& parameters)
+{
+  for (const auto& pair : parameters) {
+    if (!py::isinstance<py::str>(pair.first)) {
+      throw PythonBackendException(
+          "Expect parameters keys to have type str, found type " +
+          std::string(py::str(pair.first.get_type())));
+    }
+    if (!py::isinstance<py::bool_>(pair.second) &&
+        !py::isinstance<py::int_>(pair.second) &&
+        !py::isinstance<py::str>(pair.second)) {
+      throw PythonBackendException(
+          "Expect parameters values to have type bool/int/str, found type " +
+          std::string(py::str(pair.second.get_type())));
+    }
+  }
+  py::module_ py_json = py::module_::import("json");
+  std::string parameters_str = py::str(py_json.attr("dumps")(parameters));
+  return parameters_str;
+}
+
 void
 AsyncEventFutureDoneCallback(const py::object& py_future)
 {
@@ -1714,59 +1736,41 @@ PYBIND11_EMBEDDED_MODULE(c_python_backend_utils, module)
   py::class_<InferRequest, std::shared_ptr<InferRequest>>(
       module, "InferenceRequest")
       .def(
-          py::init([](const std::string& request_id,
-                      const py::object& correlation_id,
-                      const std::vector<std::shared_ptr<PbTensor>>& inputs,
-                      const std::vector<std::string>& requested_output_names,
-                      const std::string& model_name,
-                      const int64_t model_version, const uint32_t flags,
-                      const uint64_t timeout,
-                      const PreferredMemory& preferred_memory,
-                      const InferenceTrace& trace,
-                      const py::object& parameters_) {
-            py::dict parameters =
-                PyDefaultArgumentToMutableType<py::dict>(parameters_);
-            std::set<std::string> requested_outputs;
-            for (auto& requested_output_name : requested_output_names) {
-              requested_outputs.emplace(requested_output_name);
-            }
-            for (const auto& pair : parameters) {
-              if (!py::isinstance<py::str>(pair.first)) {
-                throw PythonBackendException(
-                    "Expect parameters keys to have type str, found type " +
-                    std::string(py::str(pair.first.get_type())));
-              }
-              if (!py::isinstance<py::bool_>(pair.second) &&
-                  !py::isinstance<py::int_>(pair.second) &&
-                  !py::isinstance<py::str>(pair.second)) {
-                throw PythonBackendException(
-                    "Expect parameters values to have type bool/int/str, found "
-                    "type " +
-                    std::string(py::str(pair.second.get_type())));
-              }
-            }
-            py::module_ py_json = py::module_::import("json");
-            std::string parameters_str =
-                py::str(py_json.attr("dumps")(parameters));
-
-            CorrelationId correlation_id_obj;
-            if (py::isinstance<py::int_>(correlation_id)) {
-              correlation_id_obj =
-                  CorrelationId(py::cast<uint64_t>(correlation_id));
-            } else if (py::isinstance<py::str>(correlation_id)) {
-              correlation_id_obj =
-                  CorrelationId(py::cast<std::string>(correlation_id));
-            } else {
-              throw PythonBackendException(
-                  "Correlation ID must be integer or string");
-            }
-
-            return std::make_shared<InferRequest>(
-                request_id, correlation_id_obj, inputs, requested_outputs,
-                model_name, model_version, parameters_str, flags, timeout,
-                0 /*response_factory_address*/, 0 /*request_address*/,
-                preferred_memory, trace);
-          }),
+          py::init(
+              [](const std::string& request_id,
+                 const py::object& correlation_id,
+                 const std::vector<std::shared_ptr<PbTensor>>& inputs,
+                 const std::vector<std::string>& requested_output_names,
+                 const std::string& model_name, const int64_t model_version,
+                 const uint32_t flags, const uint64_t timeout,
+                 const PreferredMemory& preferred_memory,
+                 const InferenceTrace& trace, const py::object& parameters_) {
+                py::dict parameters =
+                    PyDefaultArgumentToMutableType<py::dict>(parameters_);
+                std::set<std::string> requested_outputs;
+                for (auto& requested_output_name : requested_output_names) {
+                  requested_outputs.emplace(requested_output_name);
+                }
+                std::string parameters_str = PyParametersToJSON(parameters);
+
+                CorrelationId correlation_id_obj;
+                if (py::isinstance<py::int_>(correlation_id)) {
+                  correlation_id_obj =
+                      CorrelationId(py::cast<uint64_t>(correlation_id));
+                } else if (py::isinstance<py::str>(correlation_id)) {
+                  correlation_id_obj =
+                      CorrelationId(py::cast<std::string>(correlation_id));
+                } else {
+                  throw PythonBackendException(
+                      "Correlation ID must be integer or string");
+                }
+
+                return std::make_shared<InferRequest>(
+                    request_id, correlation_id_obj, inputs, requested_outputs,
+                    model_name, model_version, parameters_str, flags, timeout,
+                    0 /*response_factory_address*/, 0 /*request_address*/,
+                    preferred_memory, trace);
+              }),
           py::arg("request_id").none(false) = "",
           py::arg("correlation_id").none(false) = 0,
           py::arg("inputs").none(false),
@@ -1869,16 +1873,25 @@ PYBIND11_EMBEDDED_MODULE(c_python_backend_utils, module)
   py::class_<InferResponse, std::shared_ptr<InferResponse>>(
       module, "InferenceResponse")
       .def(
-          py::init<
-              const std::vector<std::shared_ptr<PbTensor>>&,
-              std::shared_ptr<PbError>>(),
+          py::init(
+              [](const std::vector<std::shared_ptr<PbTensor>>& output_tensors,
+                 const std::shared_ptr<PbError>& error,
+                 const py::object& parameters_) {
+                py::dict parameters =
+                    PyDefaultArgumentToMutableType<py::dict>(parameters_);
+                std::string parameters_str = PyParametersToJSON(parameters);
+                return std::make_shared<InferResponse>(
+                    output_tensors, error, parameters_str /* parameters */);
+              }),
           py::arg("output_tensors") = py::list(),
-          py::arg("error") = static_cast<std::shared_ptr<PbError>>(nullptr))
+          py::arg("error") = static_cast<std::shared_ptr<PbError>>(nullptr),
+          py::arg("parameters") = py::none())
       .def(
           "output_tensors", &InferResponse::OutputTensors,
           py::return_value_policy::reference)
       .def("has_error", &InferResponse::HasError)
-      .def("error", &InferResponse::Error);
+      .def("error", &InferResponse::Error)
+      .def("parameters", &InferResponse::Parameters);
 
   py::class_<ResponseSender, std::shared_ptr<ResponseSender>>(
       module, "InferenceResponseSender")
diff --git a/src/request_executor.cc b/src/request_executor.cc
index 78fa6ea2..c197948d 100644
--- a/src/request_executor.cc
+++ b/src/request_executor.cc
@@ -1,4 +1,4 @@
-// Copyright 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// Copyright 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 //
 // Redistribution and use in source and binary forms, with or without
 // modification, are permitted provided that the following conditions
@@ -153,20 +153,22 @@ InferResponseComplete(
       output_tensors.clear();
     }
 
+    // TODO: [DLIS-7864] Pass response parameters from BLS response.
     if (!infer_payload->IsDecoupled()) {
       infer_response = std::make_unique<InferResponse>(
-          output_tensors, pb_error, true /* is_last_response */);
+          output_tensors, pb_error, "" /* parameters */,
+          true /* is_last_response */);
     } else {
       if ((flags & TRITONSERVER_RESPONSE_COMPLETE_FINAL) == 0) {
         // Not the last response.
         infer_response = std::make_unique<InferResponse>(
-            output_tensors, pb_error, false /* is_last_response */,
-            userp /* id */);
+            output_tensors, pb_error, "" /* parameters */,
+            false /* is_last_response */, userp /* id */);
       } else {
         // The last response.
         infer_response = std::make_unique<InferResponse>(
-            output_tensors, pb_error, true /* is_last_response */,
-            userp /* id */);
+            output_tensors, pb_error, "" /* parameters */,
+            true /* is_last_response */, userp /* id */);
       }
     }
 
@@ -178,11 +180,13 @@ InferResponseComplete(
       (flags & TRITONSERVER_RESPONSE_COMPLETE_FINAL) != 0) {
     // An empty response may be the last response for decoupled models.
     infer_response = std::make_unique<InferResponse>(
-        output_tensors, pb_error, true /* is_last_response */, userp /* id */);
+        output_tensors, pb_error, "" /* parameters */,
+        true /* is_last_response */, userp /* id */);
   } else {
     pb_error = std::make_shared<PbError>("Unexpected empty response.");
     infer_response = std::make_unique<InferResponse>(
-        output_tensors, pb_error, true /* is_last_response */, userp /* id */);
+        output_tensors, pb_error, "" /* parameters */,
+        true /* is_last_response */, userp /* id */);
   }
 
   infer_payload->SetValue(std::move(infer_response));