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AWS推出Web Answer托管工具

AI 总结

AWS Machine Learning Blog称,Web Answer现已在Amazon Bedrock AgentCore中正式可用,作为托管的AgentCore Gateway工具运行。据AWS介绍,该工具可接收自然语言问题、规划并行网页搜索、读取页面核验事实,并返回附带来源引用的综合答案。目前该服务仅在美国东部(弗吉尼亚北部)区域提供,价格为每1000次工具调用10美元,每个账户每秒限10次事务。

深度见解

AWS表示,Web Answer将搜索、检索、综合与引用归因整合到一次MCP兼容工具调用中,减少智能体开发者需要自行构建和维护的工作流。

Today, we are announcing the general availability of Web Answer on Amazon Bedrock AgentCore. With Web Answer, agent builders get a synthesized, source-cited answer to a natural-language question with a single tool call. They no longer build a search, retrieve, synthesize, and citation pipeline themselves.

If you have built agents that need to answer questions from current web sources, you know the pattern: call a search API, decide which results to trust, retrieve and clean page content, prompt a model to synthesize, and engineer citation extraction so the output traces back to a source. Every step is code you maintain, and every step is another place things can go wrong: hallucination when evidence is insufficient, stale content when the index moves, and broken attribution when a claim and its source drift apart.

The Web Answer collapses that entire pipeline into one request. You send a question. You get back a cited answer in seconds. In this post, we explain what Web Answer does, compare it with Web Search on AgentCore, show how it works and what it returns, and walk through adding Web Answer to a gateway and calling it from an agent.

#Web Answer#Amazon Bedrock AgentCore#AgentCore Gateway#AWS#AWS IAM#Model Context Protocol#Strands Agents#LangChain#LangGraph#CrewAI

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