Make AI Agents app
This page reflects a previous version of Make AI Agents. For the latest information, see Make AI Agent (New).
Make AI Agents is available on all plans using Make's AI Provider, with the option to use custom AI provider connections on paid plans. It is available in open beta. As a beta feature, both product functionality and pricing may change.
The Make AI Agents app, in the Scenario Builder, allows you to use AI agents in scenarios. This article outlines the app's modules and their credit usage.

Modules
This section covers all Make AI Agents modules and their settings.
Credit usage
The Make AI Agents app consumes creditscredits differently depending on the module and whether Make's AI Provider or a custom AI provider connection is selected.
The Credit usage Credit usagetable in Make tracks credit usage from AI agents.
Users on all plans can use Make's AI Provider. Users on paid plans can also use custom AI provider connections, such as OpenAI and Anthropic Claude.
The following outlines Make AI Agents modules and their credit usage logic:
Module | Uses Make's AI Provider (All plans) | Uses a custom AI provider connection (Paid plans) |
|---|---|---|
Run an agent | 1 credit per operation + credits based on AI token usage | 1 credit per operation |
Create Agent Context (file) | 1 credit per operation + credits based on token usage, including:
| 1 credit per operation + embedding tokens (vectorization) |
Create Agent Context (text) | 1 credit per operation + credits based on token usage, including:
| 1 credit per operation + embedding tokens (vectorization) |
Get Agent Contexts | 1 credit per operation | 1 credit per operation |
Delete Specific Agent Context | 1 credit per operation | 1 credit per operation |
Delete All Agent Context | 1 credit per operation | 1 credit per operation |
Upsert Agent Context (file) | 1 credit per operation + credits based on token usage, including:
| 1 credit per operation + embedding tokens (vectorization) |
Upsert Agent Context (text) | 1 credit per operation + credits based on token usage, including:
| 1 credit per operation + embedding tokens (vectorization) |
Token usage in Create Agent Context and Upsert Agent Context modules includes:
- Embedding tokens to convert chunks of a context file into numbers (vectors) to be stored in Make's RAG database, turning the file into a retrievable format for AI agents. The number of embedding tokens will depend on the file size.
- AI tokens to generate file descriptions when an AI provider summarizes a context file based on the first part of the file. When you use Make's AI Provider, Make bills you for these AI tokens. If you use a custom AI provider connection, the provider bills you for the tokens.
When you trigger an agent in a scenario through Testing & Training in the AI Agents configuration tab, this action uses 1 credit for each chat input, in addition to each operation (and tokens, when relevant) used.

