人工智能
ICYMI:2026年9月AI建造者登陆之处
最新Amazon Bedrock,Amazon Bedrock Agent Core，以及2026年9月的Strands更新的缩写。
在AWS，我们相信企业AI最快的路径是给建设者在每个层次上真正的选择：模型，运行时间，和工具。 这种信念决定了我们如何在Amazon Bedrock、Core探员和Strands身上投资。 Amazon 电话 Bedrock继续扩大对领先前沿模型的访问，以便你能够安全地构建和扩展AI应用。 Amazon Bedrock Agent Core提供管理下的基础设施，利用任何框架或模型来建造，连接和部署企业agents. Strands给了你一个开源工具包，用来建造agents并跑到任何地方。
随着AI模型能力增强和模型选择扩展，行业对话也开始转变。 模型性能不再是唯一的问题。 客户现在根据具体用途情况权衡成本和效益，这些决定对于将生产工作交给agents很重要。 AI agents已经进入了工作流程，要求他们为企业知识进行理性解释，跨长期任务，并在安全、准确和治理重要的系统中采取行动。 目前重点正在从模型本身转移到周围的更广泛的系统，包括agents可以访问的背景，它们可以采取的行动，以及企业数据的管理和保护方式。
9月，通过Amazon Bedrock,Agent Core，和Strands更新加强了这些基础。 新的能力扩展了模型选择，使得agent操作效率更高，更可测量，并创造了将AI应用程序与当前商业信息连接的更直接的方法。
运行更快的 agents 并评价什么很重要
为OpenAI模型构建agents优化。 Amazon Bedrock Managed Agents，由OpenAI提供动力，现可公开预览，帮助您在不牺牲企业安全的情况下建设生产准备的AI agents. 现在可以使用OpenAI模型，同时将数据保存在AWS范围内，重新使用现有的AWS身份和访问管理权限(IAM)，并通过AWS CloudTrail保持完全的可审计性。 持久的会议和内在的人力核准工作流程有助于减少发展间接费用和减少风险。
Agents现在以较少的基础设施管理费开始更快。 最新的Agent Core runtime，是Amazon Bedrock Agent Core的一种能力，对没有服务器的agents有更有效的内存管理，降低冷启动时空，所以你支付实际使用费而不是峰值内存。 您可以用现收现付价格以更低的成本快速运行 agents，无需预先提供能力。 当闲置和运行在硬件孤立环境中时，会话缩放为零。
用前沿表演来降低你的象征性成本 Strands habel是一种新的开源 agent habel，它与流行的 habel 精度匹配，同时使用28%的代币。 可以在Python或TypeScript的单行中旋转一个生产准备的agent，内置上下文管理，快速缓存，以及内存，然后在任何地方部署。
让你的模特们安全地做出重大决定 Strands decider 2B是一个小的，开源，2B参数的决定模型，在预定义的选项之间选择(而不是生成文本)，以 ~115ms 本地发送答案。 GitHub和Hugging Face上所有代码、数据和权重。
为每个工作量找到正确的模式
从更广泛的一组 OpenAI 模型中选择您日常工作。 OpenAI的Astra,Sol，和Luna模型现在一般在Amazon Bedrock上可以使用，可以选用要求高的项目，重复的复杂工作，以及大量的任务。
GPT-6 电话 Astra是您最雄心勃勃的工作的旗舰模型，为复杂的决定，文件分析和软件开发带来了更深层次的推理，最多可达100万个输入符。 它加强了对复杂业务决策的推理和更加精确的判断，在软件和文档之间运作，并提供与组织声音、模板和标准相一致的专业质量产出。 GPT-6 Astra Ultrafast 新增是GPT-6 Astra的溢价速度级，是为速度最重要的工作量建造的。 它在API中提供高达6x更快的推论，每秒可达到300个令牌。
Sol 带来近阿斯特拉智能用于编码，计算机使用，以及频繁运行的专业工作量。 GPT-6.1 Sol和GPT-6 Sol都可以在Amazon Bedrock上找到。 GPT 6.1 Luna是针对提取，汇总，分类，路由等高容量任务设计的。 他们一起帮助你平衡智力、耐久性和各种工作量的成本
与Claude进行长期编码和研究。 Claude的模型选择现在包括最新版本来推进你的编码和科学工作。 Claude Fable 5.1 扩展编码，科研，企业工作流程的选项。 Claude Opus 5.5是为代理编码，知识工作，以及长期运行的任务而建造的。 它使用适应性思维来判断任务需要多少推理和努力参数来设定推理深度的上限。 Claude Sonnet 5.5是一个更聪明，更有效率的Sonnet，适合有重点的编码和知识工作，以比Claude Sonnet 5.更快的速度提供30%的每项任务成本。
与范围更广的模型组合相结合的理由。 Moonshot AI的Kimi K3现在可以在Amazon Bedrock上找到。 根据Moonshot AI,Kimi K3是其最有能力的模型，也是第一个达到2.8万亿参数的开放模型。 拥有100万托肯的上下文窗口，本土视觉，以及内置的即时缓存，它帮助您以比之前版本更低的成本更快地构建更智能的应用程序2.5x.
xAI的前沿型号Grok 4.6和Grok 4.7提供了500K的令牌上下文窗口，并支持可配置的推理努力和自我核查，以完成更可靠的长期任务。
这些加法加起来，在将模型与上下文长度，耐久性，吞吐量，成本等要求相匹配时，会给予你更大的灵活性。
对你的企业获得更多的控制权 AI agents
保持agent知识流畅。 Amazon Bedrock 管理知识库中新增了自动同步调度，现在您可以为所有本地数据源连接器每天、每周和每月配置更新选项。 因此，你的企业AI agents检索了最新的信息。 SharePoint, OneDrive 和 Conclus 的用户管理设置，在您已经拥有您需要的访问权限时减少了对管理员管理的服务账户的依赖。
连接更多企业来源，不维护定制摄入管道。 Amazon 贝德洛克管理的知识 Base现在支持ServiceNow，聚合数据中心，Salesforce，和Zendesk作为本土连接器处理数据爬行，元数据提取，以及自动递增同步。 这些连接器会减少您需要构建和维护支持内容，内部文档以及操作知识的自定义摄入代码的数量。
开始吧
探索Amazon Bedrock，与代理Core CLI一起部署agents，或与Strands Harness SDK一起建造你的第一个agent.
有兴趣学习Amazon Bedrock如何支持你的团队吗？联系我们开始谈话
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Artificial Intelligence
ICYMI: What landed for AI builders in September 2026
A recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026
At AWS, we believe the fastest path to enterprise AI is giving builders real choice at every layer: model, runtime, and tooling. That belief shapes how we invest across Amazon Bedrock, AgentCore, and Strands. Amazon Bedrock continues expanding access to leading frontier models so you can build and scale AI applications securely. Amazon Bedrock AgentCore provides the managed infrastructure to build, connect, and deploy enterprise agents using any framework or model. Strands gives you an open source toolkit to build agents and run anywhere.
As AI models become more capable and model choice expands, the industry conversations are shifting. Model performance is no longer the only question. Customers now weigh cost against benefit for their specific use case, and those decisions matter when delegating work to agents in production. AI agents are already moving into workflows that require them to reason over enterprise knowledge, operate across long-horizon tasks, and act in systems where security, accuracy, and governance matter. The focus is now shifting beyond the model itself to the broader system around it, including the context agents can access, the actions they can take, and how enterprise data is governed and protected.
In September, updates across Amazon Bedrock, AgentCore, and Strands strengthened those foundations. New capabilities expanded model choice, made agent operations more efficient and measurable, and created more direct ways to connect AI applications with current business information.
Run faster agents and evaluate what matters
Build agents optimized for OpenAI models. Amazon Bedrock Managed Agents, powered by OpenAI, is now available in public preview, helping you build production-ready AI agents without sacrificing enterprise security. You can now use OpenAI models while keeping data within AWS, reuse existing AWS Identity and Access Management (IAM) permissions, and maintain full auditability through AWS CloudTrail. Durable sessions and built-in human approval workflows help reduce development overhead and mitigate risk.
Agents now start faster with less infrastructure overhead. The latest AgentCore runtime, a capability of Amazon Bedrock AgentCore, has more efficient memory management and lower cold start latency for serverless agents, so you pay for actual usage rather than the peak memory. You can run agents faster at lower cost with pay-as-you-go pricing and no need to pre-provision capacity. Sessions scale to zero when idle and run in hardware-isolated environments.
Lower your token cost with frontier performance. Strands harness is a new open source agent harness that matches popular harnesses on accuracy while using 28 percent fewer tokens. You can spin up a production-ready agent in a single line of Python or TypeScript, with built-in context management, prompt caching, and memory, then deploy it anywhere.
Let your models make big decisions safely, locally. Strands Decider 2B is a small, open source, 2B-parameter decision model that picks between predefined options (instead of generating text), delivering answers in ~115ms locally. It’s optimized for agentic AI tasks like tool selection, routing, and guardrails, with all code, data, and weights available on GitHub and Hugging Face.
Find the right model for each workload
Choose from a broader set of OpenAI models for your everyday work. OpenAI’s Astra, Sol, and Luna models are now generally available on Amazon Bedrock, with options for demanding projects, recurring complex work, and high-volume tasks.
GPT-6 Astra is the flagship model for your most ambitious work, bringing deeper reasoning to complex decisions, document analysis, and software development with up to 1 million input tokens. It brings stronger reasoning and more precise judgment to complex business decisions, operates across software and files, and delivers professional-quality output aligned with organizational voice, templates, and standards. GPT-6 Astra Ultrafast adds a premium speed tier for GPT-6 Astra, built for workloads where speed matters most. It delivers up to 6x faster inference in the API, with up to 300 tokens per second.
Sol brings near-Astra intelligence to coding, computer use, and professional workloads that run frequently. Both GPT-6.1 Sol and GPT-6 Sol are available on Amazon Bedrock. GPT 6.1 Luna is designed for high-volume tasks such as extraction, summarization, classification, and routing. Together, they help you balance intelligence, latency, and cost across workloads.
Take on long-running coding and research with Claude. Model choices for Claude now include the latest versions to advance your coding and scientific work. Claude Fable 5.1 expands options for coding, scientific research, and enterprise workflows. Claude Opus 5.5 is built for agentic coding, knowledge work, and long-running tasks. It uses adaptive thinking to gauge how much reasoning a task needs and an effort parameter to set an upper bound on reasoning depth. Claude Sonnet 5.5 is a smarter, more efficient Sonnet suited to focused coding and knowledge work, delivering 30 percent lower cost per task at 30 percent faster speed than Claude Sonnet 5.
Reason through complexity with a broader model portfolio. Moonshot AI’s Kimi K3 is now available on Amazon Bedrock. According to Moonshot AI, Kimi K3 is its most capable model and the first open model to reach 2.8 trillion parameters. With a 1-million-token context window, native vision, and built-in prompt caching, it helps you build smarter apps 2.5x faster at lower cost than previous versions.
xAI’s frontier models Grok 4.6 and Grok 4.7 offer a 500K token context window and support configurable reasoning effort and self-verification for more reliable long-running tasks.
Together, these additions give you more flexibility when matching models to your requirements such as context length, latency, throughput, and cost.
Get more control over your enterprise AI agents
Keep agent knowledge current. With new automatic sync scheduling in Amazon Bedrock Managed Knowledge Base, you can now configure daily, weekly, and monthly refresh options for all native data-source connectors. As a result, your enterprise AI agents retrieve the latest information. The user-managed setup for SharePoint, OneDrive, and Confluence reduces reliance on admin-managed service accounts when you already have the access you need.
Connect more enterprise sources without maintaining custom ingestion pipelines. Amazon Bedrock Managed Knowledge Base now supports ServiceNow, Confluence Data Center, Salesforce, and Zendesk as native connectors to handle data crawling, metadata extraction, and incremental sync automatically. These connectors reduce the amount of custom ingestion code you need to build and maintain support content, internal documentation, and operational knowledge.
Get started
Explore Amazon Bedrock, deploy agents with the AgentCore CLI, or build your first agent with the Strands Harness SDK.
Interested in learning how Amazon Bedrock can support your team? Connect with us to start the conversation.
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