> ## Documentation Index
> Fetch the complete documentation index at: https://pathlit.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Code Execution Node

> Dynamically execute Python code within your workflow.

## Overview

The Code node allows users to dynamically execute a Python code snippet within their workflows. The Python process will have access to all inputs and must output a single expression.

## Configuration Parameters

To set up the Code node, you need to configure the following parameter:

* **Python Code**:

  The Python code you want to execute.

  This code will be executed in an isolated Jupyter Kernel environment as a single notebook cell.

## Expected Inputs and Outputs

* **Inputs**:

  Any inputs to the Code node will be passed into the Python environment as the dictionary `inputs`, with the input node display IDs mapped to their respective outputs.

  Example:

  ```python3 theme={null}
  a = inputs["text-var-0 output"]
  ```

* **Outputs**:

  The output will be evaluated as the last expression within the block. The output string will be automatically trimmed and handled to ensure clean results.

  Example:

  ```python3 theme={null}
  a = inputs["text-var-0 output"]

  # The following string will be the output of the node
  f'Output: {a}'
  ```

## Error Handling

Any exceptions thrown within the Python process will be thrown as a workflow error.

Consequently, you may also raise your own exceptions:

```python3 theme={null}
a = inputs["text-var-0 output"]

try:
  a = int(a)
except:
  raise Exception("Input is not a valid integer")

a * 2
```