Qwen-Agent Based Intelligent Tool Integration System
The model realizes in-depth interaction with external tools through the Qwen-Agent framework, supporting three types of core functions: API call, data processing and system operation. Typical implementations include:
- Declarative Tool Definition (MCP Protocol) Simplifies Integration Processes
- Automatic parameter checking and error recovery mechanism
- Multi-tool chaining calls to support complex workflows
In the actual case, the user can use natural language commands to "organize last week's sales data and generate a visual report", the model will automatically complete: 1) call the database interface to obtain data 2) use pandas to clean 3) generate Matplotlib charts 4) email the results. Tests show that this function will improve the efficiency of business automation development by 70%, and reduce the error rate to 1/5 of manual operation.
This answer comes from the articleQwen3-235B-A22B-Thinking-2507: A large-scale language model to support complex reasoningThe
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