The AI Task operator uses a credit-based system. Each workspace receives a monthly credit allocation, with credits deducted per execution.
All Torq pricing plans, including Essential, include a monthly quota of free credits.
Credits are only available to organizations that have accepted Torq's AI Terms.
Usage Allocation Modes
Credit management is available in two modes: workspace level or organization level. Both modes can be monitored on the Organization Management page under Monthly AI Task usage.
Workspace Level is the default credit management mode.
In workspace mode, credits are assigned per workspace.
Workspace owners will receive an email notification when monthly usage reaches 90%. Once the workspace's credit usage is 100%, executions of the AI Task operator will fail.
Organization Level is an opt-in service that allows organization managers to view the number of credits used throughout the organization.
In organization mode, credits are assigned to the entire organization, and any workspace within the organization can use the credits.
Organization managers will receive an email notification when the organization's monthly usage reaches 90%. Once the organization's credit usage is 100%, executions of the AI Task operator will fail.
To enable organization-level credit management, please contact Torq support.
Credits Per Plan
The table below outlines the monthly allocation of free credits provided to each workspace in an organization. The credit allocation is based on the pricing plan, and you can purchase additional credits as add-ons by contacting Torq Support.
AI Task execution credits do not roll over from the previous month.
Plan | Free credits |
Essential | 50 |
Pro | 100 |
Elite | 250 |
Elite+ | 500 |
Credits Per Execution
The table below shows the number of credits used per execution, depending on which LLM model is selected.
LLM Model | Credits per execution |
gpt-4o | 1 credit |
gpt-4-turbo | 2 credits |
gemini-1-pro | 0.25 credit |
gemini-1.5-pro | 1 credits |
After executing the AI Task operator, you can see your remaining credits in the Execution Log. The information available is the number of remaining credits, the date the credit count renews, and the credits consumed by the execution.
"usage": {
"remaining_credits": 999,
"renews_at": "2024-12-01T00:00:00Z",
"used_credits": 1