启动行动状态发布用于验证 AI agents 相互作用的工具
Action State Group Inc.是发布的一组开源工具，旨在让企业独立检查关于人工智能agents所做所为的记录，解决自动系统开始跨公司边界购买、销售和下放工作时的信任问题。
该提议结合了证据书，它保存了篡改性不言自明的记录，用于评价agent行为的术语包和独立的核查服务反签名。 这种办法针对的是公司不能仅仅依赖另一方对agent行为的陈述的交易。
称 Steven Mih，行动州的创始人兼首席执行官。 米赫之前是Ahana Cloud Inc.的创始人，Presto 开源分布式查询引擎管理版本的开发者。 2023年IBM公司收购 Ahana.
证据书为参与者提供了他们自己签名的交易历史。 买方可以记录其要求和付款的情况，而供应商可以记录其接受和报告交货的情况。 比较某些记录可以显示一致、冲突或差距，而不需要中央当局掌握每个人的数据。
参与者保留对其信息的控制，可以在评价结果时披露更多细节。
双方无需安装软件以受益，尽管兼容的实施允许它们交换证据。 核查可以离线进行，而且是免费的。
该系统使用Agent Action Capsules，一种用于签名记录的开放格式，以及密码检查点，使后续的更改可以被察觉。 一名自由的公众证人证实，在特定时间之前就存在检查站。
Mih 称保留记录并不能确定内容是否准确，校对：Soup
这一限制适用于反签字。 服务检查了成套证据的具体密码和结构特性，在结果上签字，并记录在自己的透明度记录中。 它没有证明发生了声称的结果或证据是完整的。
术语包处理的是记录的工作是否符合条例或商业规则规定的特定要求。 包装界定了评价标准和方法，结果确定了满足、错过或无法评价的要求。
行动国建议治理、风险和遵规团队根据欧盟的《AI法案》对套装进行定制以反映其要求。 这些包不证明法律合规。
人文审查对这一进程至关重要。 Mih描述了一个工作流程，其中AI法官每天评估agent记录，员工定期审查样本以比较人与自动化判决。 该系统还保留了评价结果，使审计员能够审查基本证据。
早期的集成包括Mesh-LLM，这是一个开源分布式推论网络，参与的节点保存着签名的记录，可以与同行比较交换。 这种方法可以帮助参与者发现对手记录的声称关于模型或配置的变化。
Nanda项目是一项开源倡议，旨在为AI agents建立基础设施和协议，在通过单独登记册发现的agents之间的交易中也使用了Agent Action Capsules. 双方都保留了封存的双边记录。 对于个人来说，行动州每日规则与Muse合并，以评价针对业主要求的拟议行动。
证据书根据Apache 2.0许可提供。 其基本规格以已公布的因特网工程工作队标准为基础，但行动国自己的规格仍然是个别的因特网草稿。
Mih 称提到IETF关于评论程序的请求。
行动国家计划，为规格和执行寻求中立的基础治理。 该公司期望从独立核查服务中赚取收入。
Mih 称，“目前签字是免费的”。 “然而，一旦有依赖方接受反签，我们将开始为此收费。”
图片：SiliconANGLE/Microsoft设计师。
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Startup Action State launches tools for verifying interactions between AI agents
Action State Group Inc. is launching a set of open-source tools designed to let businesses independently check records of what artificial intelligence agents did, addressing a trust problem as automated systems begin buying, selling and delegating work across corporate boundaries.
The offering combines EvidenceBook, which preserves tamper-evident records, Terms Packs for evaluating agent behavior and Countersign, an independent verification service. The approach targets transactions in which a company cannot rely solely on another party’s account of an agent’s actions.
The fundamental difference between the start-up’s approach and that of observability vendors “is that most of the observability and tracing has to do with what was happening within your own walls,” said Steven Mih, Action State’s founder and chief executive. Mih was previously founder of Ahana Cloud Inc., the developer of a managed version of the Presto open-source distributed query engine. IBM Corp. acquired Ahana in 2023.
EvidenceBook gives participants their own signed transaction histories. A buyer can record what it requested and paid, while a provider records what it accepted and reported delivering. Comparing selected records can reveal agreement, conflicts or gaps without requiring a central authority to hold everyone’s data.
Participants retain control of their information and can disclose additional details when evaluating outcomes.
Both parties need not install the software for one to benefit, although compatible implementations allow them to exchange evidence. Verification can occur offline and is free.
The system uses Agent Action Capsules, an open format for signed records, and cryptographic checkpoints that make subsequent changes detectable. A free public witness establishes that a checkpoint existed by a particular time.
Preserving a record doesn’t establish that its contents are accurate or that every action was captured, Mih said. EvidenceBook verifies that reported events actually occurred but can’t verify that an agreement was satisfied.
That limitation carries through to Countersign. The service checks specified cryptographic and structural properties of an evidence bundle, signs its findings and records them in its own transparency log. It does not certify that claimed outcomes occurred or that the evidence is complete.
Terms Packs address whether recorded work met specified requirements according to regulatory or business rules. Packs define evaluation criteria and methods, with results identifying requirements that were met, missed or could not be evaluated.
An initial pack covers agent-related obligations under the European Union’s AI Act. Action State recommends that governance, risk and compliance teams customize packs to reflect their requirements. The packs do not certify legal compliance.
Human review is critical to the process. Mih described a workflow in which AI judges assess agent records daily, with employees periodically reviewing samples to compare human and automated judgments. The system also preserves evaluation results, allowing auditors to examine the underlying evidence.
Early integrations include Mesh-LLM, an open-source distributed inference network where participating nodes keep signed records and can compare exchanges with peers. The approach could help participants spot changes to a counterparty’s recorded claims about models or configurations.
Project Nanda, an open-source initiative aimed at building infrastructure and protocols for AI agents, has also used Agent Action Capsules in transactions between agents discovered through separate registries. Each side retained a sealed bilateral record. For personal agents, Action State’s Everyday Rules integrates with Muse to evaluate proposed actions against an owner’s requirements.
EvidenceBook is available under the Apache 2.0 license. Its underlying specifications build on published Internet Engineering Task Force standards, but Action State’s own specifications remain individual Internet-Drafts.
“It’s not an RFC standard or adopted by a working group yet,” Mih said, referring to the IETF’s request for comments procedure.
Action State plans to seek neutral foundation governance for the specifications and implementations. The company expects to earn revenue from independent verification services.
“Countersign is currently free,” Mih said. “However, once there is a relying party that accepts the Countersigns, then we will start to charge for that.”
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