diff --git a/api/.env.example b/api/.env.example
index 32d89d4287..4a3b1d65af 100644
--- a/api/.env.example
+++ b/api/.env.example
@@ -132,3 +132,7 @@ SSRF_PROXY_HTTP_URL=
 SSRF_PROXY_HTTPS_URL=
 
 BATCH_UPLOAD_LIMIT=10
+
+# CODE EXECUTION CONFIGURATION
+CODE_EXECUTION_ENDPOINT=
+CODE_EXECUTINO_API_KEY=
diff --git a/api/config.py b/api/config.py
index a978a099b9..a6bc731b82 100644
--- a/api/config.py
+++ b/api/config.py
@@ -59,7 +59,9 @@ DEFAULTS = {
     'CAN_REPLACE_LOGO': 'False',
     'ETL_TYPE': 'dify',
     'KEYWORD_STORE': 'jieba',
-    'BATCH_UPLOAD_LIMIT': 20
+    'BATCH_UPLOAD_LIMIT': 20,
+    'CODE_EXECUTION_ENDPOINT': '',
+    'CODE_EXECUTION_API_KEY': ''
 }
 
 
@@ -293,6 +295,9 @@ class Config:
 
         self.BATCH_UPLOAD_LIMIT = get_env('BATCH_UPLOAD_LIMIT')
 
+        self.CODE_EXECUTION_ENDPOINT = get_env('CODE_EXECUTION_ENDPOINT')
+        self.CODE_EXECUTION_API_KEY = get_env('CODE_EXECUTION_API_KEY')
+
         self.API_COMPRESSION_ENABLED = get_bool_env('API_COMPRESSION_ENABLED')
 
 
diff --git a/api/core/workflow/nodes/code/code_executor.py b/api/core/workflow/nodes/code/code_executor.py
new file mode 100644
index 0000000000..3ecd7cfd89
--- /dev/null
+++ b/api/core/workflow/nodes/code/code_executor.py
@@ -0,0 +1,70 @@
+from os import environ
+
+from httpx import post
+from yarl import URL
+from pydantic import BaseModel
+
+from core.workflow.nodes.code.python_template import PythonTemplateTransformer
+
+# Code Executor
+CODE_EXECUTION_ENDPOINT = environ.get('CODE_EXECUTION_ENDPOINT', '')
+CODE_EXECUTION_API_KEY = environ.get('CODE_EXECUTION_API_KEY', '')
+
+class CodeExecutionException(Exception):
+    pass
+
+class CodeExecutionResponse(BaseModel):
+    class Data(BaseModel):
+        stdout: str
+        stderr: str
+
+    code: int
+    message: str
+    data: Data
+
+class CodeExecutor:
+    @classmethod
+    def execute_code(cls, language: str, code: str, inputs: dict) -> dict:
+        """
+        Execute code
+        :param language: code language
+        :param code: code
+        :param inputs: inputs
+        :return:
+        """
+        runner = PythonTemplateTransformer.transform_caller(code, inputs)
+
+        url = URL(CODE_EXECUTION_ENDPOINT) / 'v1' / 'sandbox' / 'run'
+        headers = {
+            'X-Api-Key': CODE_EXECUTION_API_KEY
+        }
+        data = {
+            'language': language,
+            'code': runner,
+        }
+
+        try:
+            response = post(str(url), json=data, headers=headers)
+            if response.status_code == 503:
+                raise CodeExecutionException('Code execution service is unavailable')
+            elif response.status_code != 200:
+                raise Exception('Failed to execute code')
+        except CodeExecutionException as e:
+            raise e
+        except Exception:
+            raise CodeExecutionException('Failed to execute code')
+
+        try:
+            response = response.json()
+        except:
+            raise CodeExecutionException('Failed to parse response')
+
+        response = CodeExecutionResponse(**response)
+
+        if response.code != 0:
+            raise CodeExecutionException(response.message)
+        
+        if response.data.stderr:
+            raise CodeExecutionException(response.data.stderr)
+        
+        return PythonTemplateTransformer.transform_response(response.data.stdout)
\ No newline at end of file
diff --git a/api/core/workflow/nodes/code/code_node.py b/api/core/workflow/nodes/code/code_node.py
index 7e69f91d11..dc69fdc84a 100644
--- a/api/core/workflow/nodes/code/code_node.py
+++ b/api/core/workflow/nodes/code/code_node.py
@@ -1,9 +1,23 @@
-from typing import Optional
+from typing import Optional, cast, Union
+from core.workflow.entities.node_entities import NodeRunResult, NodeType
+from core.workflow.entities.variable_pool import VariablePool
 
 from core.workflow.nodes.base_node import BaseNode
+from core.workflow.nodes.code.entities import CodeNodeData
+from core.workflow.nodes.code.code_executor import CodeExecutor, CodeExecutionException
+from models.workflow import WorkflowNodeExecutionStatus
 
+MAX_NUMBER = 2 ** 63 - 1
+MIN_NUMBER = -2 ** 63
+MAX_PRECISION = 20
+MAX_DEPTH = 5
+MAX_STRING_LENGTH = 1000
+MAX_STRING_ARRAY_LENGTH = 30
 
 class CodeNode(BaseNode):
+    _node_data_cls = CodeNodeData
+    node_type = NodeType.CODE
+
     @classmethod
     def get_default_config(cls, filters: Optional[dict] = None) -> dict:
         """
@@ -62,3 +76,167 @@ class CodeNode(BaseNode):
                 ]
             }
         }
+
+    def _run(self, variable_pool: Optional[VariablePool] = None,
+             run_args: Optional[dict] = None) -> NodeRunResult:
+        """
+        Run code
+        :param variable_pool: variable pool
+        :param run_args: run args
+        :return:
+        """
+        node_data = self.node_data
+        node_data: CodeNodeData = cast(self._node_data_cls, node_data)
+
+        # SINGLE DEBUG NOT IMPLEMENTED YET
+        if variable_pool is None and run_args:
+            raise ValueError("Not support single step debug.")
+        
+        # Get code language
+        code_language = node_data.code_language
+        code = node_data.code
+
+        # Get variables
+        variables = {}
+        for variable_selector in node_data.variables:
+            variable = variable_selector.variable
+            value = variable_pool.get_variable_value(
+                variable_selector=variable_selector.value_selector
+            )
+
+            variables[variable] = value
+
+        # Run code
+        try:
+            result = CodeExecutor.execute_code(
+                language=code_language,
+                code=code,
+                inputs=variables
+            )
+        except CodeExecutionException as e:
+            return NodeRunResult(
+                status=WorkflowNodeExecutionStatus.FAILED,
+                error=str(e)
+            )
+
+        # Transform result
+        result = self._transform_result(result, node_data.outputs)
+
+        return NodeRunResult(
+            status=WorkflowNodeExecutionStatus.SUCCEEDED,
+            inputs=variables,
+            outputs=result
+        )
+
+    def _check_string(self, value: str, variable: str) -> str:
+        """
+        Check string
+        :param value: value
+        :param variable: variable
+        :param max_length: max length
+        :return:
+        """
+        if not isinstance(value, str):
+            raise ValueError(f"{variable} in input form must be a string")
+
+        if len(value) > MAX_STRING_LENGTH:
+            raise ValueError(f'{variable} in input form must be less than {MAX_STRING_LENGTH} characters')
+        
+        return value.replace('\x00', '')
+        
+    def _check_number(self, value: Union[int, float], variable: str) -> Union[int, float]:
+        """
+        Check number
+        :param value: value
+        :param variable: variable
+        :return:
+        """
+        if not isinstance(value, (int, float)):
+            raise ValueError(f"{variable} in input form must be a number")
+
+        if value > MAX_NUMBER or value < MIN_NUMBER:
+            raise ValueError(f'{variable} in input form is out of range.')
+        
+        if isinstance(value, float):
+            value = round(value, MAX_PRECISION)
+
+        return value
+
+    def _transform_result(self, result: dict, output_schema: dict[str, CodeNodeData.Output], 
+                          prefix: str = '',
+                          depth: int = 1) -> dict:
+        """
+        Transform result
+        :param result: result
+        :param output_schema: output schema
+        :return:
+        """
+        if depth > MAX_DEPTH:
+            raise ValueError("Depth limit reached, object too deep.")
+        
+        transformed_result = {}
+        for output_name, output_config in output_schema.items():
+            if output_config.type == 'object':
+                # check if output is object
+                if not isinstance(result.get(output_name), dict):
+                    raise ValueError(
+                        f'Output {prefix}.{output_name} is not an object, got {type(result.get(output_name))} instead.'
+                    )
+                
+                transformed_result[output_name] = self._transform_result(
+                    result=result[output_name],
+                    output_schema=output_config.children,
+                    prefix=f'{prefix}.{output_name}' if prefix else output_name,
+                    depth=depth + 1
+                )
+            elif output_config.type == 'number':
+                # check if number available
+                transformed_result[output_name] = self._check_number(
+                    value=result[output_name],
+                    variable=f'{prefix}.{output_name}' if prefix else output_name
+                )
+
+                transformed_result[output_name] = result[output_name]
+            elif output_config.type == 'string':
+                # check if string available
+                transformed_result[output_name] = self._check_string(
+                    value=result[output_name],
+                    variable=f'{prefix}.{output_name}' if prefix else output_name,
+                )
+            elif output_config.type == 'array[number]':
+                # check if array of number available
+                if not isinstance(result[output_name], list):
+                    raise ValueError(
+                        f'Output {prefix}.{output_name} is not an array, got {type(result.get(output_name))} instead.'
+                    )
+                
+                transformed_result[output_name] = [
+                    self._check_number(
+                        value=value,
+                        variable=f'{prefix}.{output_name}' if prefix else output_name
+                    )
+                    for value in result[output_name]
+                ]
+            elif output_config.type == 'array[string]':
+                # check if array of string available
+                if not isinstance(result[output_name], list):
+                    raise ValueError(
+                        f'Output {prefix}.{output_name} is not an array, got {type(result.get(output_name))} instead.'
+                    )
+                
+                if len(result[output_name]) > MAX_STRING_ARRAY_LENGTH:
+                    raise ValueError(
+                        f'{prefix}.{output_name} in input form must be less than {MAX_STRING_ARRAY_LENGTH} characters'
+                    )
+                
+                transformed_result[output_name] = [
+                    self._check_string(
+                        value=value,
+                        variable=f'{prefix}.{output_name}' if prefix else output_name
+                    )
+                    for value in result[output_name]
+                ]
+            else:
+                raise ValueError(f'Output type {output_config.type} is not supported.')
+            
+        return transformed_result
\ No newline at end of file
diff --git a/api/core/workflow/nodes/code/entities.py b/api/core/workflow/nodes/code/entities.py
new file mode 100644
index 0000000000..731b00f8c8
--- /dev/null
+++ b/api/core/workflow/nodes/code/entities.py
@@ -0,0 +1,19 @@
+from core.workflow.entities.base_node_data_entities import BaseNodeData
+from core.workflow.entities.variable_entities import VariableSelector
+
+from pydantic import BaseModel
+from typing import Literal, Union
+
+class CodeNodeData(BaseNodeData):
+    """
+    Code Node Data.
+    """
+    class Output(BaseModel):
+        type: Literal['string', 'number', 'object', 'array[string]', 'array[number]']
+        children: Union[None, dict[str, 'Output']]
+
+    variables: list[VariableSelector]
+    answer: str
+    code_language: str
+    code: str
+    outputs: dict[str, Output]
diff --git a/api/core/workflow/nodes/code/python_template.py b/api/core/workflow/nodes/code/python_template.py
new file mode 100644
index 0000000000..03dfee36f3
--- /dev/null
+++ b/api/core/workflow/nodes/code/python_template.py
@@ -0,0 +1,55 @@
+import json
+import re
+
+PYTHON_RUNNER = """# declare main function here
+{{code}}
+
+# execute main function, and return the result
+# inputs is a dict, and it
+output = main(**{{inputs}})
+
+# convert output to json and print
+result = '''
+<<RESULT>>
+{output}
+<<RESULT>>
+'''
+
+print(result)
+"""
+
+
+class PythonTemplateTransformer:
+    @classmethod
+    def transform_caller(cls, code: str, inputs: dict) -> str:
+        """
+        Transform code to python runner
+        :param code: code
+        :param inputs: inputs
+        :return:
+        """
+        
+        # transform inputs to json string
+        inputs_str = json.dumps(inputs, indent=4)
+
+        # replace code and inputs
+        runner = PYTHON_RUNNER.replace('{{code}}', code)
+        runner = runner.replace('{{inputs}}', inputs_str)
+
+        return runner
+    
+    @classmethod
+    def transform_response(cls, response: str) -> dict:
+        """
+        Transform response to dict
+        :param response: response
+        :return:
+        """
+        
+        # extract result
+        result = re.search(r'<<RESULT>>(.*)<<RESULT>>', response, re.DOTALL)
+        if not result:
+            raise ValueError('Failed to parse result')
+        
+        result = result.group(1)
+        return json.loads(result)