diff --git a/examples/plugins/adaptive_import/adaptive_import/__init__.py b/examples/plugins/adaptive_import/adaptive_import/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/examples/plugins/adaptive_import/adaptive_import/adaptive_import.py b/examples/plugins/adaptive_import/adaptive_import/adaptive_import.py
new file mode 100644
index 000000000..73d74e5cd
--- /dev/null
+++ b/examples/plugins/adaptive_import/adaptive_import/adaptive_import.py
@@ -0,0 +1,337 @@
+from jaclang.plugin.default import hookimpl
+import ray
+import asyncio
+import sys
+from .library_monitor import LibraryMonitor
+from .policy_manager import PolicyManager
+from .module_loader import ModuleLoader
+import types
+from typing import Any, Callable, Optional, Type, TypeAlias, Union
+from jaclang.compiler.absyntree import Module
+import pluggy
+from jaclang.plugin.spec import JacBuiltin, JacCmdSpec, JacFeatureSpec
+import logging
+import subprocess
+import marshal
+import os
+from os import getcwd, path
+from jaclang.compiler.constant import Constants as Con
+from jaclang.compiler.compile import compile_jac
+import importlib
+from jaclang.core.utils import sys_path_context
+
+pm = pluggy.PluginManager("jac")
+pm.add_hookspecs(JacFeatureSpec)
+pm.add_hookspecs(JacCmdSpec)
+pm.add_hookspecs(JacBuiltin)
+
+
+def simulate_remote_execution(codeobj, global_context):
+    """
+    Simulate the remote execution of Python bytecode by running it in a separate Python process.
+    This can simulate the isolation of a remote environment.
+
+    Args:
+    - codeobj: Compiled Python bytecode to execute.
+    - global_context: A dictionary representing global variables to include in the execution.
+    """
+    # Serialize the bytecode and context to strings that can be passed to another process
+    serialized_code = marshal.dumps(codeobj)
+    context_file_path = "/tmp/simulated_context.py"
+
+    # Prepare a file that sets up the context and deserialize the code to execute
+    with open(context_file_path, "w") as context_file:
+        # Dumping the context into a Python file
+        for key, value in global_context.items():
+            context_file.write(f"{key} = {repr(value)}\n")
+        context_file.write("\nimport marshal\n")
+        context_file.write("exec(marshal.loads({}))\n".format(repr(serialized_code)))
+
+    result = subprocess.run(
+        [sys.executable, context_file_path], capture_output=True, text=True
+    )
+
+    # Clean up the context file
+    os.remove(context_file_path)
+
+    # Output the result or handle errors
+    if result.returncode == 0:
+        print("Execution Output:", result.stdout)
+    else:
+        print("Error during simulated remote execution:", result.stderr)
+
+
+def load_module_remotely(target, remote_address: str = "auto"):
+    # logging.info(f"Attempting to load module {target} remotely...")
+    if not ray.is_initialized():
+        ray.init(address=remote_address)
+        logging.info(f"Ray initialized with address {remote_address}")
+    else:
+        logging.info("Ray already initialized.")
+
+    async def async_load_module():
+        # Assuming your custom classes here...
+        library_monitor = LibraryMonitor()
+        policy_manager = PolicyManager(library_monitor)
+        module_loader = ModuleLoader(policy_manager, use_ray_object_store=True)
+
+        # logger.info("Starting async module loading")
+        # # Verify numpy availability
+        # try:
+        #     numpy_check = await module_loader.load_module("numpy")
+        #     if numpy_check:
+        #         logger.info("Numpy is available in the remote environment")
+        #         logger.info(
+        #             f"numpy_check {numpy_check}, numpy_check array:{numpy_check.array([1])}"
+        #         )
+        #     else:
+        #         logger.error("Numpy is not available in the remote environment")
+        # except Exception as e:
+        #     logger.error(f"Error checking numpy availability: {e}")
+
+        loaded_module = await module_loader.load_module(target)
+        # logging.info(f"Module loaded remotely: {loaded_module}")
+        return loaded_module
+
+    loop = asyncio.get_event_loop()
+    module = loop.run_until_complete(async_load_module())
+    return module
+
+
+def get_caller_dir(target: str, base_path: str, dir_path: str) -> str:
+    """Get the directory of the caller."""
+    caller_dir = base_path if path.isdir(base_path) else path.dirname(base_path)
+    caller_dir = caller_dir if caller_dir else getcwd()
+    chomp_target = target
+    if chomp_target.startswith("."):
+        chomp_target = chomp_target[1:]
+        while chomp_target.startswith("."):
+            caller_dir = path.dirname(caller_dir)
+            chomp_target = chomp_target[1:]
+    caller_dir = path.join(caller_dir, dir_path)
+    return caller_dir
+
+
+def create_jac_py_module(
+    mod_bundle: Optional[Module], module_name: str, package_path: str, full_target: str
+) -> types.ModuleType:
+    """Create a module."""
+    module = types.ModuleType(module_name)
+    module.__file__ = full_target
+    module.__name__ = module_name
+    module.__dict__["__jac_mod_bundle__"] = mod_bundle
+    if package_path:
+        parts = package_path.split(".")
+        for i in range(len(parts)):
+            package_name = ".".join(parts[: i + 1])
+            if package_name not in sys.modules:
+                sys.modules[package_name] = types.ModuleType(package_name)
+
+        setattr(sys.modules[package_path], module_name, module)
+        sys.modules[f"{package_path}.{module_name}"] = module
+    sys.modules[module_name] = module
+    return module
+
+
+def jac_importer(
+    target: str,
+    base_path: str,
+    absorb: bool = False,
+    cachable: bool = True,
+    mdl_alias: Optional[str] = None,
+    override_name: Optional[str] = None,
+    mod_bundle: Optional[Module] = None,
+    lng: Optional[str] = "jac",
+    items: Optional[dict[str, Union[str, bool]]] = None,
+    use_remote: bool = False,
+    use_ray_object_store: bool = False,
+    remote_address: str = "auto",
+) -> Optional[types.ModuleType]:
+    """Core Import Process."""
+    library_monitor = LibraryMonitor()
+    policy_manager = PolicyManager(library_monitor)
+    module_loader = ModuleLoader(policy_manager, use_ray_object_store)
+    dir_path, file_name = path.split(
+        path.join(*(target.split("."))) + (".jac" if lng == "jac" else ".py")
+    )
+    module_name = path.splitext(file_name)[0]
+    package_path = dir_path.replace(path.sep, ".")
+
+    if package_path and f"{package_path}.{module_name}" in sys.modules:
+        return sys.modules[f"{package_path}.{module_name}"]
+    elif not package_path and module_name in sys.modules:
+        return sys.modules[module_name]
+
+    caller_dir = get_caller_dir(target, base_path, dir_path)
+    full_target = path.normpath(path.join(caller_dir, file_name))
+    # logging.info(
+    #     f"Caller directory set to {caller_dir}, full target path {full_target}"
+    # )
+    if lng == "py":
+        module = py_import(
+            target=target,
+            items=items,
+            absorb=absorb,
+            mdl_alias=mdl_alias,
+            use_remote=use_remote,
+            module_loader=module_loader,
+            remote_address=remote_address,
+        )
+
+    else:
+        module_name = override_name if override_name else module_name
+        module = create_jac_py_module(
+            mod_bundle, module_name, package_path, full_target
+        )
+        if mod_bundle:
+            codeobj = mod_bundle.mod_deps[full_target].gen.py_bytecode
+            codeobj = marshal.loads(codeobj) if isinstance(codeobj, bytes) else None
+        else:
+            gen_dir = path.join(caller_dir, Con.JAC_GEN_DIR)
+            pyc_file_path = path.join(gen_dir, module_name + ".jbc")
+            if (
+                cachable
+                and path.exists(pyc_file_path)
+                and path.getmtime(pyc_file_path) > path.getmtime(full_target)
+            ):
+                with open(pyc_file_path, "rb") as f:
+                    codeobj = marshal.load(f)
+            else:
+                result = compile_jac(full_target, cache_result=cachable)
+                if result.errors_had or not result.ir.gen.py_bytecode:
+                    for e in result.errors_had:
+                        print(e)
+                        logging.error(e)
+                    return None
+                else:
+                    codeobj = marshal.loads(result.ir.gen.py_bytecode)
+        if not codeobj:
+            raise ImportError(f"No bytecode found for {full_target}")
+        # logging.info(f"Executing bytecode for {module_name} at {full_target}")
+        with sys_path_context(caller_dir):
+            exec(codeobj, module.__dict__)
+            # simulate_remote_execution(codeobj, module.__dict__)
+    # logging.info(f"Module {module_name} loaded with dictionary: {module.__dict__}")
+    return module
+
+
+def py_import(
+    target: str,
+    items: Optional[dict[str, Union[str, bool]]] = None,
+    absorb: bool = False,
+    mdl_alias: Optional[str] = None,
+    use_remote: bool = True,
+    module_loader: Optional[ModuleLoader] = None,
+    remote_address: str = "auto",
+) -> types.ModuleType:
+    """Import a Python module, optionally using the ModuleLoader for remote modules."""
+    try:
+        # logging.info(f"Importing module {target}")
+        if use_remote and module_loader:
+            # logging.info(f"Loading module {target} remotely")
+            imported_module = load_module_remotely(
+                target=target, remote_address=remote_address
+            )
+        else:
+            target = target.lstrip(".") if target.startswith("..") else target
+            imported_module = importlib.import_module(target)
+
+        # logging.info(f"Module {target} loaded: {imported_module}")
+
+        # Print module contents for verification
+        # logging.info(f"Contents of {target}: {dir(imported_module)}")
+
+        main_module = __import__("__main__")
+
+        if absorb:
+            for name in dir(imported_module):
+                if not name.startswith("_"):
+                    setattr(main_module, name, getattr(imported_module, name))
+
+        elif items:
+            for name, alias in items.items():
+                try:
+                    setattr(
+                        main_module,
+                        alias if isinstance(alias, str) else name,
+                        getattr(imported_module, name),
+                    )
+                except AttributeError as e:
+                    if hasattr(imported_module, "__path__"):
+                        setattr(
+                            main_module,
+                            alias if isinstance(alias, str) else name,
+                            importlib.import_module(f"{target}.{name}"),
+                        )
+                    else:
+                        raise e
+        else:
+            # logging.info(f"Setting module {target} in __main__ and sys.modules")
+            setattr(
+                main_module,
+                mdl_alias if isinstance(mdl_alias, str) else target,
+                imported_module,
+            )
+            sys.modules[target] = imported_module
+
+        # Verify module in sys.modules
+        # logging.info(f"Module {target} in sys.modules: {sys.modules.get(target)}")
+        # logging.info(f"Current sys.path: {sys.path}")
+
+        return imported_module
+    except ImportError as e:
+        logging.error(f"Failed to import module {target}: {e}")
+        raise e
+
+
+class JacFeature:
+    @staticmethod
+    @hookimpl
+    def jac_import(
+        target: str,
+        base_path: str,
+        absorb: bool,
+        cachable: bool,
+        mdl_alias: Optional[str],
+        override_name: Optional[str],
+        mod_bundle: Optional[Module],
+        lng: Optional[str],
+        items: Optional[dict[str, Union[str, bool]]],
+        use_remote: bool = True,
+        remote_address: str = "ray://localhost:10001",
+    ) -> Optional[types.ModuleType]:
+        # logger.info(
+        # f"Attempting to load module '{target}' with remote set to {use_remote}."
+        # )
+        # print(f"lang in adaptive: {lng}, target: {target}")
+        if use_remote:
+            return jac_importer(
+                target=target,
+                base_path=base_path,
+                absorb=absorb,
+                cachable=cachable,
+                mdl_alias=mdl_alias,
+                override_name=override_name,
+                mod_bundle=mod_bundle,
+                lng=lng,
+                items=items,
+                use_remote=use_remote,
+                remote_address=remote_address,
+            )
+        else:
+            try:
+                module = pm.hook.jac_import(
+                    target=target,
+                    base_path=base_path,
+                    absorb=absorb,
+                    cachable=cachable,
+                    mdl_alias=mdl_alias,
+                    override_name=override_name,
+                    mod_bundle=mod_bundle,
+                    lng=lng,
+                    items=items,
+                )
+                return module
+            except Exception as e:
+                logging.error(f"Error while loading module '{target}' locally: {e}")
+                return None
diff --git a/examples/plugins/adaptive_import/adaptive_import/library_data_dict.json b/examples/plugins/adaptive_import/adaptive_import/library_data_dict.json
new file mode 100644
index 000000000..853dad7f9
--- /dev/null
+++ b/examples/plugins/adaptive_import/adaptive_import/library_data_dict.json
@@ -0,0 +1,79 @@
+{
+    "numpy": {
+        "lib_mem_size_req": "100MB",
+        "dependency": [
+            "math",
+            "mkl"
+        ],
+        "lib_cpu_req": "500m",
+        "load_type": "remote",
+        "remote_load_type": "isolated"
+    },
+    "pandas": {
+        "lib_mem_size_req": "200MB",
+        "dependency": [
+            "numpy",
+            "pytz",
+            "dateutil"
+        ],
+        "lib_cpu_req": "700m",
+        "load_type": "remote",
+        "remote_load_type": "isolated"
+    },
+    "scipy": {
+        "lib_mem_size_req": "150MB",
+        "dependency": [
+            "numpy"
+        ],
+        "lib_cpu_req": "600m",
+        "load_type": "remote",
+        "remote_load_type": "isolated"
+    },
+    "matplotlib": {
+        "lib_mem_size_req": "250MB",
+        "dependency": [
+            "numpy",
+            "pyparsing",
+            "kiwisolver",
+            "cycler"
+        ],
+        "lib_cpu_req": "400m",
+        "load_type": "remote",
+        "remote_load_type": "isolated"
+    },
+    "requests": {
+        "lib_mem_size_req": "50MB",
+        "dependency": [
+            "urllib3",
+            "chardet",
+            "certifi",
+            "idna"
+        ],
+        "lib_cpu_req": "200m",
+        "load_type": "local",
+        "remote_load_type": ""
+    },
+    "math": {
+        "lib_mem_size_req": "50MB",
+        "dependency": [],
+        "lib_cpu_req": "200m",
+        "load_type": "local",
+        "remote_load_type": ""
+    },
+    "time": {
+        "lib_mem_size_req": "10MB",
+        "dependency": [],
+        "lib_cpu_req": "100m",
+        "load_type": "remote",
+        "remote_load_type": "isolated"
+    },
+    "transformers": {
+        "lib_mem_size_req": "1G",
+        "dependency": [
+            "torch"
+        ],
+        "lib_cpu_req": "1500m",
+        "load_type": "remote",
+        "remote_load_type": "isolated"
+    }
+}
\ No newline at end of file
diff --git a/examples/plugins/adaptive_import/adaptive_import/library_monitor.py b/examples/plugins/adaptive_import/adaptive_import/library_monitor.py
new file mode 100644
index 000000000..1ac54ffc0
--- /dev/null
+++ b/examples/plugins/adaptive_import/adaptive_import/library_monitor.py
@@ -0,0 +1,42 @@
+# from prometheus_api_client import PrometheusConnect
+PROMETHEUS_URL = "http://localhost:8080"
+
+
+class LibraryMonitor:
+    def __init__(self, prometheus_url=PROMETHEUS_URL):
+        # self.prometheus = PrometheusConnect(url=prometheus_url)
+        self.node_resources = {"cpu": 0, "memory": 0}
+        self.module_resources = {}
+
+    async def fetch_node_available_resources(self):
+        # Implement actual Prometheus queries here
+        self.node_resources["cpu"] = 4
+        self.node_resources["memory"] = 8 * 1024**3
+
+    async def fetch_module_resources(self, module_name):
+        # Implement actual Prometheus queries here
+        self.module_resources[module_name] = {
+            "cpu": 2,
+            "memory": 2 * 1024**3,
+        }
+
+    # def get_cpu_utilization(self, instance_id=None):
+    #     """
+    #     Get CPU utilization for a specific instance or for all instances.
+    #     """
+    #     query = "ray_node_cpu_utilization"
+    #     if instance_id:
+    #         query += f'{{InstanceId="{instance_id}"}}'
+    #     print(f"Query: {query}")
+    #     result = self.prometheus.custom_query(query)
+    #     return result
+
+    # def get_memory_usage(self, instance_id=None):
+    #     """
+    #     Get memory usage for a specific instance or for all instances.
+    #     """
+    #     query = "ray_node_mem_used"
+    #     if instance_id:
+    #         query += f'{{InstanceId="{instance_id}"}}'
+    #     result = self.prometheus.custom_query(query)
+    #     return result
diff --git a/examples/plugins/adaptive_import/adaptive_import/module_actor.py b/examples/plugins/adaptive_import/adaptive_import/module_actor.py
new file mode 100644
index 000000000..96485e074
--- /dev/null
+++ b/examples/plugins/adaptive_import/adaptive_import/module_actor.py
@@ -0,0 +1,60 @@
+import ray
+import importlib
+import uuid
+import logging
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+@ray.remote
+class ModuleActor:
+    def __init__(self, module_name):
+
+        self.module = importlib.import_module(module_name)
+        logger.info(f"Module {self.module.__name__} loaded")
+        print(f"Module {self.module.__name__} loaded")
+        self.instances = {}
+
+    async def execute_method(self, attribute_path, *args, **kwargs):
+        try:
+            attribute = self.module
+            path_parts = attribute_path.split(".")
+            for attr in path_parts[:-1]:
+                attribute = getattr(attribute, attr)
+
+            final_attr = getattr(attribute, path_parts[-1])
+
+            if isinstance(final_attr, type):
+                instance = final_attr(*args, **kwargs)
+                instance_id = str(uuid.uuid4())
+                self.instances[instance_id] = instance
+                return {"type": "instance", "id": instance_id}
+            elif callable(final_attr):
+                result = final_attr(*args, **kwargs)
+                # print(f"Result: {result}")
+                import numpy as np
+
+                if isinstance(result, (int, float, str, bool)):
+                    return {"type": "primitive", "value": int(result)}
+                elif isinstance(result, (list, tuple, np.ndarray)):
+                    return {"type": "array", "value": result.tolist()}
+                elif isinstance(result, dict):
+                    return {"type": "dict", "value": result}
+                else:
+                    return {"type": "unknown", "value": str(result)}
+            else:
+                # print(f"Result: {result}")
+                return {"type": "result", "value": final_attr}
+        except Exception as e:
+            logger.error(f"Error executing method {final_attr}: {e}")
+            raise e
+
+    async def execute_instance_method(self, instance_id, method_name, *args, **kwargs):
+        instance = self.instances.get(instance_id)
+        if not instance:
+            raise ValueError("Instance not found")
+
+        method = getattr(instance, method_name)
+        result = method(*args, **kwargs)
+        return {"type": "result", "value": result}
diff --git a/examples/plugins/adaptive_import/adaptive_import/module_loader.py b/examples/plugins/adaptive_import/adaptive_import/module_loader.py
new file mode 100644
index 000000000..97b27064e
--- /dev/null
+++ b/examples/plugins/adaptive_import/adaptive_import/module_loader.py
@@ -0,0 +1,119 @@
+import importlib
+from .module_actor import ModuleActor
+import ray
+
+
+class ModuleLoader:
+    def __init__(self, policy_manager, use_ray_object_store=False):
+        self.policy_manager = policy_manager
+        self.remote_modules = {}
+        self.use_ray_object_store = use_ray_object_store
+
+    async def load_module(self, module_name):
+        strategy, remote_load_type = self.policy_manager.determine_strategy(module_name)
+        dependencies_list = self.policy_manager.get_dependencies(module_name)
+
+        if strategy == "local":
+            module = self.load_module_locally(module_name)
+        else:
+            module_actor = ModuleActor.options(name=module_name).remote(
+                module_name,
+            )
+            module = RemoteModuleProxy(
+                module_name,
+                module_actor,
+                use_ray_object_store=True,
+            )
+
+        return module
+
+    def load_module_locally(self, module_name):
+        return importlib.import_module(module_name)
+
+
+class RemoteModuleProxy:
+    def __init__(self, module_name, actor_handle, use_ray_object_store=False):
+        self.module_name = module_name
+        self.actor_handle = actor_handle
+        self.use_ray_object_store = use_ray_object_store
+        self.logger = logging.getLogger(__name__)
+
+    def __getattr__(self, attribute_name):
+        new_attribute_path = f"{self.module_name}.{attribute_name}"
+        if attribute_name.startswith("__") and attribute_name.endswith("__"):
+            # Handle special attributes directly
+            raise AttributeError(
+                f"{self.module_name} has no attribute {attribute_name}"
+            )
+        return RemoteAttributeProxy(
+            self.module_name,
+            self.actor_handle,
+            attribute_name,
+            use_ray_object_store=self.use_ray_object_store,
+        )
+
+    def __repr__(self):
+        return f"<RemoteModuleProxy for {self.module_name} at {hex(id(self))}>"
+
+
+import logging
+
+
+class RemoteAttributeProxy:
+    def __init__(
+        self, module_name, actor_handle, attribute_path, use_ray_object_store=False
+    ):
+        self.module_name = module_name
+        self.actor_handle = actor_handle
+        self.attribute_path = attribute_path
+        self.use_ray_object_store = use_ray_object_store
+
+    def __getattr__(self, attribute_name):
+        if attribute_name.startswith("__") and attribute_name.endswith("__"):
+            # Handle special attributes directly
+            raise AttributeError(
+                f"{self.attribute_path} has no attribute {attribute_name}"
+            )
+        new_attribute_path = f"{self.attribute_path}.{attribute_name}"
+        return RemoteAttributeProxy(
+            self.module_name,
+            self.actor_handle,
+            new_attribute_path,
+            self.use_ray_object_store,
+        )
+
+    def __call__(self, *args, **kwargs):
+
+        result = ray.get(
+            self.actor_handle.execute_method.remote(
+                self.attribute_path, *args, **kwargs
+            )
+        )
+        # result = {"type": None, "value": None, "id": None}
+        # print(f"Result: {result}")
+        if result["type"] == "instance":
+            return InstanceProxy(self.actor_handle, result["id"])
+        return result["value"]
+
+    def __iter__(self):
+        raise TypeError(f"{self.attribute_path} is not iterable")
+
+    def __next__(self):
+        raise StopIteration
+
+
+class InstanceProxy:
+    def __init__(self, actor_handle, instance_id):
+        self.actor_handle = actor_handle
+        self.instance_id = instance_id
+
+    def __getattr__(self, method_name):
+        def method_proxy(*args, **kwargs):
+            result = ray.get(
+                self.actor_handle.execute_instance_method.remote(
+                    self.instance_id, method_name, *args, **kwargs
+                )
+            )
+            return result
+
+        return method_proxy
diff --git a/examples/plugins/adaptive_import/adaptive_import/policy_manager.py b/examples/plugins/adaptive_import/adaptive_import/policy_manager.py
new file mode 100644
index 000000000..ac3042341
--- /dev/null
+++ b/examples/plugins/adaptive_import/adaptive_import/policy_manager.py
@@ -0,0 +1,75 @@
+import json
+from .library_monitor import LibraryMonitor
+import os
+from typing import Dict, Any
+
+
+class PolicyManager:
+    CPU_THRESHOLD = 0.75
+    dir_path = os.path.dirname(os.path.realpath(__file__))
+    library_data_path = os.path.join(dir_path, "library_data_dict.json")
+
+    def __init__(
+        self,
+        library_monitor: LibraryMonitor,
+        library_data_path=library_data_path,
+    ):
+        with open(library_data_path, "r") as f:
+            self.library_data_dict = json.load(f)
+
+        self.library_monitor = library_monitor
+        self.current_placement: Dict = {}
+
+    def get_dependencies(self, module_name: str):
+        """
+        Retrieves a list of dependencies for the specified module.
+        """
+        module_data = self.library_data_dict.get(module_name, {})
+        return module_data.get("dependency", [])
+
+    def determine_strategy(self, module_name: str) -> tuple[Any, Any | None]:
+        """
+        Determine the initial strategy for loading the module based on static criteria.
+        """
+        remote_load_type = None
+        if module_name in self.current_placement:
+            return self.current_placement[module_name]
+
+        module_data = self.library_data_dict.get(module_name, {})
+        strategy = module_data.get("load_type", "local")
+        if strategy == "remote":
+            remote_load_type = module_data.get("remote_load_type", "shared")
+        self.current_placement[module_name] = strategy
+        print(
+            f"Placement for {module_name}: {strategy}, remote_load_type: {remote_load_type}"
+        )
+        return strategy, remote_load_type
+
+    async def adapt_module_placement(self, module_name: str):
+        """
+        Dynamically adjust the loading strategy based on real-time usage metrics.
+        """
+        await self.library_monitor.fetch_node_available_resources()
+        await self.library_monitor.fetch_module_resources(module_name)
+
+        module_resources = self.library_monitor.module_resources.get(module_name, {})
+        node_resources = self.library_monitor.node_resources
+        if (module_resources["cpu"] <= node_resources["cpu"]) * self.CPU_THRESHOLD and (
+            module_resources["memory"] <= node_resources["memory"]
+        ):
+            strategy = "shared"
+        else:
+            strategy = "isolated"
+
+        self.current_placement[module_name] = strategy
+        print(f"Placement for {module_name}: {strategy}")
+        return strategy
+
+    def get_placement(self, module_name: str):
+        """
+        Returns the current placement for the given module, adjusting it if necessary.
+        """
+        if module_name not in self.current_placement:
+            self.determine_strategy(module_name)
+
+        return self.adapt_module_placement(module_name)
diff --git a/examples/plugins/adaptive_import/setup.py b/examples/plugins/adaptive_import/setup.py
new file mode 100644
index 000000000..f05bfd6a6
--- /dev/null
+++ b/examples/plugins/adaptive_import/setup.py
@@ -0,0 +1,19 @@
+from setuptools import setup, find_packages
+
+setup(
+    name="jaclang-adaptive_import",
+    version="1.0.0",
+    packages=find_packages(),
+    package_data={"adaptive_import": ["library_data_dict.json"]},
+    include_package_data=True,
+    install_requires=[
+        "ray[client]",
+        "asyncio",
+    ],
+    entry_points={
+        "jac": ["adaptive_import = adaptive_import.adaptive_import:JacFeature"],
+    },
+    author="Ashish Mahendra/Ashish Agarwal",
+    author_email="ashish.mahendra@jaseci.org, ashish.agarwal@jaseci.org",
+    description="Adaptive import plugin for Jaclang with Ray integration",
+)