Tavily 联手 Jev：研究 agent 的搜索与上下文选择决策层
Tavily 提供实时网页证据，Jev 用结构化输出决定何时搜索、哪些结果重要、上下文是否足够，减少大模型推理开销。
Tavily + @typesafeai's Jev is where real-time web intelligence meets low-latency decision-making. A research agent constantly decides when to search, which results matter, and whether it has enough context to continue. For an agent using Tavily + Jev, Tavily supplies fresh web evidence while Jev powers those decision points with structured outputs that plug directly into the workflow. Together, developers can offload repeated routing and context-selection decisions from general-purpose LLMs, keeping larger models focused on reasoning and generation. It's a practical path to more efficient agentic workflows, with less inference overhead between finding information and using it. Check out the demo, and when you can, give it a try yourself. If you don't have a Tavily account yet, you can grab a free one at http://app.tavily.com/