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qianwen-text

Enable OpenAI-compatible chat, text generation, and tool calling for Qwen models.

67|4|Updated May 9, 2026
Search Tags:#api#streaming#chat#qwen#function-calling#text-generation#openai-compatible
One-click install
npx skills add https://github.com/QianWen-AI/qianwen-ai --skill qianwen-text
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qianwen-text
Source: https://github.com/QianWen-AI/qianwen-ai/tree/main/skills/text/qianwen-text
Command: npx skills add https://github.com/QianWen-AI/qianwen-ai --skill qianwen-text

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Enable OpenAI-compatible access to Qwen models for chat, text generation, and tool calling.

Core Features & Use Cases

  • OpenAI-compatible API interface for Qwen models, including streaming chat.
  • Support for multi-turn conversations, code writing, and function calling.
  • Use cases include interactive chat, coding assistance, and tool integration with Qwen models.

Quick Start

To begin, send a chat request to the OpenAI-compatible endpoint with a messages array and the desired model.

Frequently Asked Questions about qianwen-text

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use the OpenAI-compatible API for Qwen text generation and chat?▼

To use Qwen text generation and chat, send a chat request to the OpenAI-compatible endpoint with a messages array and your desired model. This enables multi-turn conversations, coding tasks, and function calling.

Can I use OpenAI-compatible function calling with Qwen models?▼

Yes, Qwen models support function calling via the OpenAI-compatible API. You can integrate external tools and enable multi-turn workflows across Python scripts by sending structured requests to the DashScope endpoint.

What do I need to set up streaming chat with Qwen models in Python?▼

To set up streaming chat with Qwen models, you need Python 3.9 or higher and a valid Qwen API key. The integration uses environment loading and standard library HTTP utilities to communicate with the endpoint.

Does the Qwen API work with existing OpenAI client libraries for multi-turn conversations?▼

Yes, the Qwen API is OpenAI-compatible, allowing you to use existing OpenAI client libraries for multi-turn conversations. You simply direct your client to the DashScope OpenAI-compatible endpoint.

What are the limitations of using OpenAI-compatible endpoints for Qwen text generation?▼

The OpenAI-compatible endpoint for Qwen text generation relies on standard library HTTP utilities and environment loading, meaning advanced networking features may require custom integration outside the provided Python scripts.

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