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Best practices

Integrate Harness tools

Some Qwen models supported by Token Plan have built-in Harness tools that can extend AI coding tools with capabilities such as web search, code interpreter, and web scraping.

Some Qwen models supported by Token Plan have built-in Harness tools that can extend AI coding tools with capabilities such as web search, code interpreter, and web scraping.
Applicable to Token Plan, not applicable to Coding Plan.

Tool overview

Tool

Description

Web search

Retrieves information from the internet and generates answers based on search results.

Code interpreter

Writes and runs Python code in a sandbox environment for scenarios such as mathematical calculations and data analysis.

Web scraping

Accesses a specified URL and extracts its content to provide the model with the information it needs.

Reverse image search

Searches for visually similar images on the internet based on an input image. Suitable for scenarios such as finding similar products and visual content tracing.

Text-to-image search

Searches for relevant images on the internet based on text descriptions. Suitable for scenarios such as visual Q&A and image recommendation.

Supported models and tools

Personal Edition

Model

Supported tools

qwen3.8-max

Web search, code interpreter, web scraping, reverse image search, text-to-image search

qwen3.7-max

Web search, code interpreter, web scraping

qwen3.7-plus

Web search, code interpreter, web scraping, reverse image search, text-to-image search

Team Edition

Model

Supported tools

qwen3.8-max

Web search, code interpreter, web scraping, reverse image search, text-to-image search

qwen3.7-max

Web search, code interpreter, web scraping

qwen3.7-plus

Web search, code interpreter, web scraping, reverse image search, text-to-image search

Pricing

Harness tools are billed per successful invocation, and fees are deducted from your plan Credits.

Usage

Switch the model in your AI coding tool to one of the Qwen models listed above that supports Harness, and ask questions directly in the conversation. The model will automatically invoke the corresponding built-in tool based on the question, without any additional configuration.
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