Plugin overview

Models have limitations: they cannot access the latest information, are prone to hallucination, and struggle with precise calculations. Integrate plugins to address these limitations.

Introduction to plugins

A plugin is a collection of tools (APIs), each implementing a specific capability. Model Studio supports official plugins and custom plugins.

Official plugins

The Plug-in Marketplace offers pre-configured official plugins that you can call without setup. See Official plugin instructions.

Plugin name	Tool ID	Description	Billing
Python Code Interpreter	code_interpreter	Enables the model to run Python code for tasks like mathematical calculations, data analysis, visualization, and data processing.	Free
Calculator	calculator	Lets the model perform complex mathematical calculations, such as "12313 * 13232".	Free
Image Generation	text_to_image	Lets the model generate images from text, such as "Draw a smiling dog."	Free for a limited time. Activation is required.

Custom plugins

You can create custom plugins and integrate them into your application.

Examples

Sample input	Without plugin	With plugin
What is 12313 × 13232?	A model cannot reliably solve complex math problems and often returns incorrect answers. The correct answer is 162,925,616.	With the Calculator plugin, the model performs the calculation accurately.
What is 12313 × 13232?	Without the plugin, the model attempts the calculation directly and returns an incorrect result that does not match the correct answer of 162,925,616.	When a plugin is available, the model calls the calculator plugin, where the input parameter `payload__input__text` is `12313x13232` and the output parameters `equations` and `results` are `["12313 * 13232"]` and `[162925616]`. The AI then replies with the correct calculation result.

Supported models

Model	Model identifier
Qwen-Turbo	qwen-turbo
Qwen-Plus	qwen-plus
Qwen-Max	qwen-max
Qwen-VL-Max	qwen-vl-max
Qwen-VL-Plus	qwen-vl-plus

Note

Plugin compatibility varies by model. Check the console for details.

See Select a model.

How plugins work

Calling a plugin means calling a tool within it. You can call plugins through an agent application or a workflow application.

When a plugin is called from an agent application, the model determines whether to call a tool based on the user input, tool name, and tool description.

If a tool is required, the model selects the appropriate one. The application then calls the tool, combines its output with the original user input, and sends the result back to the model to generate the final response.
If no tool is required, the model generates the final response directly.

In a workflow application, calling a plugin means using it as a node in the workflow. The tool is executed as part of a user-defined sequence, rather than the model selecting and calling it autonomously.