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Custom Functions automation integration with GenticFlow

Admin-defined Python functions GenticFlow can call under policy

GenticFlow custom functions let admins define named Python functions with descriptions and code snippets, validate them against blocked patterns, tag them, and attach them to GenticFlow workflows. Functions extend what GenticFlow can call without hard-coding every customer-specific operation into the product.

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What GenticFlow does with this integration

Function Management

Functions have a name, description, function_name, and Python code snippet
Custom and built-in system functions are listed together for selection
Functions can be tagged for organization
GenticFlow workflows can be configured with selected functions as a data source

Validation and Execution Controls

Function code is validated before save unless explicitly force-saved by an authorized admin
The executor applies module and operation restrictions before running a function
Function definitions must expose the expected top-level function name
Execution follows the backend's controlled FunctionExecutor paths

Extensible Automation

Use custom functions for customer-specific lookups, transformations, or controlled API calls
Function Assistant can help generate function code in the UI
Credential references can be used in generated function guidance
Admins keep ownership of what callable tools are exposed to agents

How It Works

Create a custom function

Define the display name, description, function_name, and Python code snippet.

Validate the implementation

GenticFlow checks the function definition and flags blocked code patterns before save.

Attach it to a workflow

Select custom or built-in functions for the GenticFlow workflow that should be allowed to call them.

Use it during automation

The workflow can call the exposed function when its task requires that customer-specific capability.

Automation with guardrails.

Custom Functions extends GenticFlow without bypassing the product controls. Events, alerts, or approved callable functions can enter the workflow while validation, permissions, and execution history stay in place.