Stripe 推出供 AI 代理訪問支付和計費 API 的 SDK
全球支付巨頭 Stripe 已利用人工智能代理和大型語言模型解鎖了新的自動化。該支付公司的代理工具包將爲開發人員提供將人工智能代理與金融服務集成所需的必要工具和資源。
全球支付處理平臺 Stripe 推出了由人工智能技術驅動的新功能。這家科技公司最近宣佈了與人工智能代理可以利用的金融活動相關的新自動化。該代理工具包與重要的框架集成，使人工智能代理能夠利用公司的金融服務。
開發人員可以將他們的人工智能代理與代理工具包集成，以實現金融服務自動化，併爲參與者提供創造新收入、自動化支持任務和處理交易的新方法。
Stripe 的代理工具包推出了新的人工智能代理自動化
今天（）， @stripe推出了專爲 AI 代理構建的 SDK：
– LLM可以調用支付、計費、發行等API
– 與@vercel 、 @LangChainAI 、@crewAIInc集成
– 通過函數使用任何模型（按代幣計費）讓您和您的機器人構建的內容感到興奮： https://t.co/3GiXmNm6en
—傑夫·韋恩斯坦 (@jeff_weinstein) 2024 年 11 月 14 日
According to Jeff Weinstein, the Product Lead at Stripe, Stripes’ SDK will allow large language models to call payments, billing, and issuing. Weinstein also said Stripe will provide agents with its API that natively supports Vercel’s AI SDK, LangChain, and CrewAI to simplify workflows.
The toolkit is built on top of the firm’s Node.js and Python SDKs and also supports any large language model provider capable of making calls. The framework breaks down each task and assigns it to specialized agents for execution.
A blog shared by the company’s developers detailed the practicability of the automation process by giving examples of real-world applications. The blog explained that a user may create an automated business process for specialized tasks such as invoicing users. The developer may utilize the Stripe Agent toolkit and pass its tools to the AI agent.
The blog highlighted that the toolkit can be used simultaneously with other tools, allowing developers to offer users complex multi-step operations. Developers can advance automation by enabling AI agents to make financial transactions through virtual payment cards configurable for specific budgets and spending limits.
The toolkit also allows companies to implement metered billing based on actual usage, such as the number of tokens consumed by the agent. Stripe’s middleware tracks these activities and ensures accurate billing aligns with client demand.
The payment processing company termed the Agent’s behavior as unpredictable and recommended testing the functionality in a controlled environment. Stripe also advised developers to use restricted API keys to limit the agent’s functionality access.
Stripe continues to foster business growth using AI tools
The global payment firm has leveraged artificial intelligence technology to enhance cross-border payments in Asia. In late August, the company unleashed AI-powered tools for cross-border remittances during the Stripe Tour Singapore event. Stripe unveiled the Optimized Checkout Suite, Adaptive Pricing tool, and Radar Assistant.
The Optimized Checkout Suite uses artificial intelligence to personalize customers’ payment experiences. The tool’s AI capability automatically selects the most suitable payment medium for the customer based on location and preferences. The adaptive pricing feature allows businesses to localize their prices for goods or services across 150 markets.
The Radar Assist tool allows businesses to describe the types of fraud they want to prevent and generates rules that are analyzed based on previous transactions.
Stripe has pioneered AI technology in the industry. In October, the payment company collaborated with Nvidia to progress artificial intelligence capabilities and enhance fraud detection. Stripe has used Nvidia’s technology to train its machine learning models and enhance its service offerings.
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