Python Node

The Python node is used to execute Python scripts or inline code within workflows, implementing custom data processing, API calls, file operations, and other logic. Scripts are executed in the shared code_workspace/ directory and can access workflow context data.

Configuration

Field	Type	Required	Default	Description
`interpreter`	string	No	Current Python	Python interpreter path
`args`	list[str]	No	`[]`	Startup arguments appended to the interpreter
`env`	dict[str, str]	No	`{}`	Additional environment variables, overrides system defaults
`timeout_seconds`	int	No	`60`	Script execution timeout (seconds)
`encoding`	string	No	`utf-8`	Encoding for parsing stdout/stderr

Core Concepts

Code Workspace

Python scripts are executed within the code_workspace/ directory:

Scripts can read and write files in this directory
Multiple Python nodes share the same workspace
The workspace persists for the duration of a single workflow execution

Input/Output

Input: Outputs from upstream nodes are passed as environment variables or standard input
Output: The script's stdout output will be passed as a Message to downstream nodes

When to Use

Data processing: Parse JSON/XML, data transformation, formatting
API calls: Call third-party services, fetch external data
File operations: Read/write files, generate reports
Complex calculations: Mathematical operations, algorithm implementations
Glue logic: Custom logic connecting different nodes

Examples

Basic Configuration

nodes:
  - id: Data Processor
    type: python
    config:
      timeout_seconds: 120
      env:
        key: value

Specifying Interpreter and Arguments

nodes:
  - id: Script Runner
    type: python
    config:
      interpreter: /usr/bin/python3.11
      timeout_seconds: 300
      encoding: utf-8

Typical Workflow Example

nodes:
  - id: LLM Generator
    type: agent
    config:
      provider: openai
      name: gpt-4o
      api_key: ${API_KEY}
      role: You need to generate executable Python code based on user input. The code should be wrapped in ```python ```.

  - id: Result Parser
    type: python
    config:
      timeout_seconds: 30

edges:
  - from: LLM Generator
    to: Result Parser

Notes

Ensure script files are placed in the code_workspace/ directory
Long-running scripts should have an appropriately increased timeout_seconds
Use env to pass additional environment variables, accessible in scripts via os.getenv

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