AI Code

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Node Inputs

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Required Fields

Instructions:
Detailed instructions specifying the code task to perform. Instructions can include dynamic variables ({{myVariable}}) for customization.
Example: "Write a Python function to calculate the factorial of a number."

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Optional Fields

Input Data 1:
Optional input data to be used in code generation.
Example: "Sample JSON data to parse."

Input Data 2:
Additional input data to supplement the instructions.
Example: "Desired output format as CSV."

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Node AI Settings

Model:
The AI model used for code generation.
Example: "OPENAI - gpt-4o-2024-05-13"

Temperature:
Controls randomness in generated code:

• Lower values (e.g., 0.2) for deterministic outputs.
• Higher values (e.g., 0.8) for creative or exploratory code.

Max Output Tokens:
Specifies the maximum token count for the generated code.
Example: 1000

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Node Output

Output:
Generated code based on the provided instructions and optional input data.
Example Output:

def factorial(n):
    if n == 0:
        return 1
    return n * factorial(n-1)

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Node Functionality

The AI Code node:

• Converts natural language prompts into code in a specified programming language.
• Supports integration of additional input data for dynamic or contextual code generation.
• Provides control over model creativity and response length through adjustable settings.
• Produces executable code ready for deployment or further refinement.