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Qwen API

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Headlines · 1

  1. Task-based Qwen routing cuts ticketing costs and latency

    掘金·人工智能 reports that one company routed its ticketing-system requests across qwen-turbo, qwen-plus, and qwen-max according to task complexity. The author says monthly token spending fell from 4,180 yuan to 1,590 yuan, while classification accuracy rose from 91.2% to 93.7%. After concurrency was reduced from 32 to 12 and requests were queued by task, end-to-end P95 latency reportedly dropped from 6.8 seconds to 2.1 seconds.

    掘金 · 人工智能 · 🔥 0

Experience and discussion from the community

Share my Qwen API experienceAsk about Qwen API

qwen-code: An open-source AI coding agent for your terminal, editor, desktop, browser, and chat.

What problem it solves Developers need a coding agent that can fit into different workflows without requiring separate processes for each interface or model provider. They also need access to agentic features, automation, and shared sessions while retaining control over model and provider selection. Key features Agentic workflows — The agent includes Auto-Memory, Auto-Skills, SubAgents, Agent Team…

github.comhttps://github.com/QwenLM/qwen-code