It is a framework and suite of applications designed for developing and deploying large language model (LLM) applications based on Qwen (version 2.0 or higher).
It is a framework and suite of applications designed for developing and deploying large language model (LLM) applications based on Qwen (version 2.0 or higher). The framework, called Qwen-Agent, enables instruction following, tool usage, planning, and memory capabilities, and it supports features such as Function Calling, Code Interpreter, Retrieval-Augmented Generation (RAG), and a Chrome extension. It serves as the backend for Qwen Chat and includes example applications like Browser Assistant, Code Interpreter, and Custom Assistant.
Users can either utilize the model service provided by Alibaba Cloud’s DashScope or deploy their own model service using open-source Qwen models. For DashScope, users must set the environment variable `DASHSCOPE_API_KEY` with their unique API key. For self-deployment, the framework supports OpenAI-compatible API services, with options for high-throughput GPU deployment using vLLM or local CPU (+GPU) deployment using Ollama.
Qwen-Agent provides atomic components like LLMs (inheriting from `BaseChatModel` with function calling) and Tools (inheriting from `BaseTool`), as well as high-level components like Agents (derived from `Agent`). Developers can create custom agents, such as one capable of reading PDF files and using tools, or build their own agent implementations by inheriting from the `Agent` class. The framework also includes a GUI interface for rapid deployment of Gradio Demos, allowing users to interact with agents via a web UI.
The framework supports function calling in LLM classes and agent classes like `FnCallAgent` and `ReActChat`. It also offers a fast RAG solution for question-answering over super-long documents, outperforming native long-context models in benchmarks and excelling in the “needle-in-the-haystack” test with 1M-token contexts. Additionally, BrowserQwen, a browser assistant built on Qwen-Agent, is available, though users are cautioned that the code interpreter is not sandboxed and should not be used for dangerous tasks or production purposes.
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