diff --git a/paddle/fluid/framework/feed_fetch_method.cc b/paddle/fluid/framework/feed_fetch_method.cc
index 1f2f645f97dc8..7a62b5563f30a 100644
--- a/paddle/fluid/framework/feed_fetch_method.cc
+++ b/paddle/fluid/framework/feed_fetch_method.cc
@@ -19,7 +19,7 @@ limitations under the License. */
 #include "glog/logging.h"
 
 PHI_DECLARE_bool(enable_new_ir_in_executor);
-PHI_DECLARE_bool(enable_new_ir_api);
+PHI_DECLARE_bool(enable_pir_api);
 
 namespace phi {
 class DenseTensor;
diff --git a/paddle/fluid/framework/new_executor/standalone_executor.cc b/paddle/fluid/framework/new_executor/standalone_executor.cc
index 99b42bee8b73f..f06bee2c884e3 100644
--- a/paddle/fluid/framework/new_executor/standalone_executor.cc
+++ b/paddle/fluid/framework/new_executor/standalone_executor.cc
@@ -28,7 +28,7 @@
 #include "paddle/pir/pass/pass_manager.h"
 
 PHI_DECLARE_bool(enable_new_ir_in_executor);
-PHI_DECLARE_bool(enable_new_ir_api);
+PHI_DECLARE_bool(enable_pir_api);
 PHI_DECLARE_bool(new_ir_apply_inplace_pass);
 
 namespace paddle {
@@ -55,7 +55,7 @@ StandaloneExecutor::StandaloneExecutor(const platform::Place& place,
     const std::string& job_type = job->Type();
     std::shared_ptr<ProgramDesc> program = nullptr;
     std::shared_ptr<::pir::Program> ir_program = nullptr;
-    if (FLAGS_enable_new_ir_api) {
+    if (FLAGS_enable_pir_api) {
       ir_program = plan_.IrProgram(job_type);
     } else {
       program = std::make_shared<ProgramDesc>(*(plan_.Program(job_type)));
@@ -69,7 +69,7 @@ StandaloneExecutor::StandaloneExecutor(const platform::Place& place,
                                  micro_batch_id,
                                  micro_batch_num));
 
-    if (micro_batch_num > 1 && !FLAGS_enable_new_ir_api) {
+    if (micro_batch_num > 1 && !FLAGS_enable_pir_api) {
       SetColAttrForFeedFetchOps(program, micro_batch_num, micro_batch_id);
     }
 
@@ -80,7 +80,7 @@ StandaloneExecutor::StandaloneExecutor(const platform::Place& place,
     // TODO(phlrain) we only support cpu for now
     if (FLAGS_enable_new_ir_in_executor) {
       std::shared_ptr<::pir::Program> base_program = ir_program;
-      if (!FLAGS_enable_new_ir_api) {
+      if (!FLAGS_enable_pir_api) {
         VLOG(6) << "begin to translate" << std::endl;
         base_program = paddle::TranslateLegacyProgramToProgram(*program);
       }
diff --git a/paddle/fluid/prim/api/auto_code_generated/tensor_operants_gen.py b/paddle/fluid/prim/api/auto_code_generated/tensor_operants_gen.py
index 783066f0fc906..0bc050f00d4a0 100644
--- a/paddle/fluid/prim/api/auto_code_generated/tensor_operants_gen.py
+++ b/paddle/fluid/prim/api/auto_code_generated/tensor_operants_gen.py
@@ -214,7 +214,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 #include "paddle/fluid/primitive/backend/backend.h"
 #include "paddle/fluid/primitive/type/lazy_tensor.h"
 
-PHI_DECLARE_bool(enable_new_ir_api);
+PHI_DECLARE_bool(enable_pir_api);
 
 """
 
@@ -227,7 +227,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 using LazyTensor = paddle::primitive::LazyTensor;
 
 Tensor StaticTensorOperants::add(const Tensor& x, const Scalar& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::add<LazyTensor>(x, paddle::primitive::backend::full<LazyTensor>(x.shape(), y, x.dtype(), x.place()));
   } else {
     return paddle::prim::add<DescTensor>(x, paddle::prim::full<DescTensor>(x.shape(), y, x.dtype(), x.place()));
@@ -235,7 +235,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::subtract(const Tensor& x, const Scalar& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::subtract<LazyTensor>(x, paddle::primitive::backend::full<LazyTensor>(x.shape(), y, x.dtype(), x.place()));
   } else {
     return paddle::prim::subtract<DescTensor>(x, paddle::prim::full<DescTensor>(x.shape(), y, x.dtype(), x.place()));
@@ -243,7 +243,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::multiply(const Tensor& x, const Scalar& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::scale<LazyTensor>(x, y, 0.0f, true);
   } else {
     return paddle::prim::scale<DescTensor>(x, y, 0.0f, true);
@@ -251,7 +251,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::divide(const Tensor& x, const Scalar& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::divide<LazyTensor>(x, paddle::primitive::backend::full<LazyTensor>(x.shape(), y, x.dtype(), x.place()));
   } else {
     return paddle::prim::divide<DescTensor>(x, paddle::prim::full<DescTensor>(x.shape(), y, x.dtype(), x.place()));
@@ -259,7 +259,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::add(const Scalar& x, const Tensor& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::add<LazyTensor>(paddle::primitive::backend::full<LazyTensor>(y.shape(), x, y.dtype(), y.place()), y);
   } else {
     return paddle::prim::add<DescTensor>(paddle::prim::full<DescTensor>(y.shape(), x, y.dtype(), y.place()), y);
@@ -268,7 +268,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 
 
 Tensor StaticTensorOperants::subtract(const Scalar& x, const Tensor& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::subtract<LazyTensor>(paddle::primitive::backend::full<LazyTensor>(y.shape(), x, y.dtype(), y.place()), y);
   } else {
     return paddle::prim::subtract<DescTensor>(paddle::prim::full<DescTensor>(y.shape(), x, y.dtype(), y.place()), y);
@@ -276,7 +276,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::multiply(const Scalar& x, const Tensor& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::scale<LazyTensor>(y, x, 0.0f, true);
   } else {
     return paddle::prim::scale<DescTensor>(y, x, 0.0f, true);
@@ -284,7 +284,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::divide(const Scalar& x, const Tensor& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::divide<LazyTensor>(paddle::primitive::backend::full<LazyTensor>(y.shape(), x, y.dtype(), y.place()), y);
   } else {
     return paddle::prim::divide<DescTensor>(paddle::prim::full<DescTensor>(y.shape(), x, y.dtype(), y.place()), y);
@@ -292,7 +292,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::pow(const Tensor& x, const Tensor& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::elementwise_pow<LazyTensor>(x, y);
   } else {
     return paddle::prim::elementwise_pow<DescTensor>(x, y);
@@ -300,7 +300,7 @@ class StaticTensorOperants : public TensorOperantsBase {
 }
 
 Tensor StaticTensorOperants::pow(const Tensor& x, const Scalar& y) {
-  if (FLAGS_enable_new_ir_api) {
+  if (FLAGS_enable_pir_api) {
     return paddle::primitive::backend::elementwise_pow<LazyTensor>(x, paddle::primitive::backend::full<LazyTensor>(x.shape(), y, x.dtype(), x.place()));
   } else {
     return paddle::prim::elementwise_pow<DescTensor>(x, paddle::prim::full<DescTensor>(x.shape(), y, x.dtype(), x.place()));
@@ -393,7 +393,7 @@ def gene_static_tensor_func_call(self):
         )
         static_func_parameters = self.get_func_args()
 
-        static_tensor_func_call = f"""if (FLAGS_enable_new_ir_api) {{
+        static_tensor_func_call = f"""if (FLAGS_enable_pir_api) {{
     return {backend_static_func_name}({static_func_parameters});
   }} else {{
     return {prim_static_func_name}({static_func_parameters});
diff --git a/paddle/phi/core/flags.cc b/paddle/phi/core/flags.cc
index e02868d5e2c1b..ce03cdb3f4d69 100644
--- a/paddle/phi/core/flags.cc
+++ b/paddle/phi/core/flags.cc
@@ -1278,15 +1278,13 @@ PHI_DEFINE_EXPORTED_bool(enable_new_ir_in_executor,
 
 /**
  * Using new IR API in Python
- * Name: enable_new_ir_api
+ * Name: enable_pir_api
  * Since Version: 2.6.0
  * Value Range: bool, default=false
  * Example:
  * Note: If Ture, New IR API will be used in Python
  */
-PHI_DEFINE_EXPORTED_bool(enable_new_ir_api,
-                         false,
-                         "Enable new IR API in Python");
+PHI_DEFINE_EXPORTED_bool(enable_pir_api, false, "Enable new IR API in Python");
 
 /**
  * Using new IR in executor FLAG
diff --git a/python/paddle/base/framework.py b/python/paddle/base/framework.py
index 0440af415a7d0..d3f17ea6435e9 100644
--- a/python/paddle/base/framework.py
+++ b/python/paddle/base/framework.py
@@ -162,8 +162,8 @@ def __init__(self):
         self._in_to_static_mode_ = False
         self._functional_dygraph_context_manager = None
         self._dygraph_tracer_ = _dygraph_tracer_
-        self._use_pir_api_ = get_flags("FLAGS_enable_new_ir_api")[
-            'FLAGS_enable_new_ir_api'
+        self._use_pir_api_ = get_flags("FLAGS_enable_pir_api")[
+            'FLAGS_enable_pir_api'
         ]
 
     def __str__(self):
@@ -340,8 +340,8 @@ def in_dynamic_or_pir_mode():
             >>> print(paddle.framework.in_dynamic_or_pir_mode())
             False
 
-            >>> paddle.framework.set_flags({"FLAGS_enable_new_ir_api": True})
-            >>> print(paddle.framework.in_dynamic_or_pir_mode())
+            >>> with paddle.pir_utils.IrGuard():
+            ...     print(paddle.framework.in_dynamic_or_pir_mode())
             True
 
     """
diff --git a/python/paddle/pir_utils.py b/python/paddle/pir_utils.py
index a62fe6f61a924..9af825cfcd88b 100644
--- a/python/paddle/pir_utils.py
+++ b/python/paddle/pir_utils.py
@@ -19,11 +19,11 @@
 class IrGuard:
     def __init__(self):
         self.in_dygraph_outside = False
-        old_flag = paddle.base.framework.get_flags("FLAGS_enable_new_ir_api")
-        paddle.base.framework.set_flags({"FLAGS_enable_new_ir_api": False})
+        old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")
+        paddle.base.framework.set_flags({"FLAGS_enable_pir_api": False})
         paddle.base.framework.global_var._use_pir_api_ = False
-        if not paddle.base.framework.get_flags("FLAGS_enable_new_ir_api")[
-            "FLAGS_enable_new_ir_api"
+        if not paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
         ]:
             self.old_Program = paddle.static.Program
             self.old_program_guard = paddle.base.program_guard
@@ -34,31 +34,31 @@ def __init__(self):
         else:
             raise RuntimeError(
                 "IrGuard only init when paddle.framework.in_pir_mode(): is false, \
-                please set FLAGS_enable_new_ir_api = false"
+                please set FLAGS_enable_pir_api = false"
             )
         paddle.base.framework.set_flags(old_flag)
         paddle.base.framework.global_var._use_pir_api_ = old_flag[
-            "FLAGS_enable_new_ir_api"
+            "FLAGS_enable_pir_api"
         ]
 
     def __enter__(self):
         self.in_dygraph_outside = paddle.base.framework.in_dygraph_mode()
         if self.in_dygraph_outside:
             paddle.enable_static()
-        paddle.framework.set_flags({"FLAGS_enable_new_ir_api": True})
+        paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
         paddle.base.framework.global_var._use_pir_api_ = True
         self._switch_to_pir()
 
     def __exit__(self, exc_type, exc_val, exc_tb):
-        paddle.framework.set_flags({"FLAGS_enable_new_ir_api": False})
+        paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
         paddle.base.framework.global_var._use_pir_api_ = False
         self._switch_to_old_ir()
         if self.in_dygraph_outside:
             paddle.disable_static()
 
     def _switch_to_pir(self):
-        if paddle.base.framework.get_flags("FLAGS_enable_new_ir_api")[
-            "FLAGS_enable_new_ir_api"
+        if paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
         ]:
             paddle.framework.set_flags(
                 {"FLAGS_enable_new_ir_in_executor": True}
@@ -76,8 +76,8 @@ def _switch_to_pir(self):
             )
 
     def _switch_to_old_ir(self):
-        if not paddle.base.framework.get_flags("FLAGS_enable_new_ir_api")[
-            "FLAGS_enable_new_ir_api"
+        if not paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
+            "FLAGS_enable_pir_api"
         ]:
             paddle.framework.set_flags(
                 {"FLAGS_enable_new_ir_in_executor": False}
@@ -93,5 +93,5 @@ def _switch_to_old_ir(self):
         else:
             raise RuntimeError(
                 "IrGuard._switch_to_old_ir only work when paddle.framework.in_pir_mode() is false, \
-                please set FLAGS_enable_new_ir_api = false"
+                please set FLAGS_enable_pir_api = false"
             )
diff --git a/test/ir/new_ir/CMakeLists.txt b/test/ir/new_ir/CMakeLists.txt
index e213eaba4c53c..75587db97c088 100644
--- a/test/ir/new_ir/CMakeLists.txt
+++ b/test/ir/new_ir/CMakeLists.txt
@@ -15,7 +15,7 @@ foreach(target ${TEST_INTERP_CASES})
 endforeach()
 
 foreach(target ${TEST_IR_SYSTEM_CASES})
-  py_test_modules(${target} MODULES ${target} ENVS FLAGS_enable_new_ir_api=true)
+  py_test_modules(${target} MODULES ${target} ENVS FLAGS_enable_pir_api=true)
 endforeach()
 
 set_tests_properties(test_pd_inplace_pass PROPERTIES TIMEOUT 60)
diff --git a/test/ir/new_ir/test_ir_backward.py b/test/ir/new_ir/test_ir_backward.py
index acffcf4ee28d6..c604290d34cad 100644
--- a/test/ir/new_ir/test_ir_backward.py
+++ b/test/ir/new_ir/test_ir_backward.py
@@ -38,7 +38,7 @@ def get_ir_program_0():
 
 class TesBackward_1(unittest.TestCase):
     def tearDown(self) -> None:
-        paddle.framework.set_flags({"FLAGS_enable_new_ir_api": False})
+        paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
 
     def test_grad(self):
         newir_program = get_ir_program_0()
@@ -155,7 +155,7 @@ def get_ir_program_1():
 
 class TesBackward_2(unittest.TestCase):
     def tearDown(self) -> None:
-        paddle.framework.set_flags({"FLAGS_enable_new_ir_api": False})
+        paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
 
     def test_add_n(self):
         newir_program = get_ir_program_1()
@@ -231,7 +231,7 @@ def get_ir_program_2():
 
 class TestBackward_3(unittest.TestCase):
     def tearDown(self) -> None:
-        paddle.framework.set_flags({"FLAGS_enable_new_ir_api": False})
+        paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
 
     def test_basic_network(self):
         newir_program = get_ir_program_2()
diff --git a/test/prim/new_ir_prim/CMakeLists.txt b/test/prim/new_ir_prim/CMakeLists.txt
index 1b37b432d2052..a36e905e0c9f4 100644
--- a/test/prim/new_ir_prim/CMakeLists.txt
+++ b/test/prim/new_ir_prim/CMakeLists.txt
@@ -3,7 +3,7 @@ set(TEST_PRIM_PURE_NEW_IR_CASES test_prim_program test_prim_simpnet
 
 foreach(target ${TEST_PRIM_PURE_NEW_IR_CASES})
   py_test_modules(${target} MODULES ${target} ENVS GLOG_v=1
-                  FLAGS_enable_new_ir_api=true)
+                  FLAGS_enable_pir_api=true)
 endforeach()
 
 file(