Stripe lanza SDK para que los agentes de IA accedan a las API de pago y facturación
El gigante mundial de pagos Stripe ha desbloqueado una nueva automatización aprovechando agentes de inteligencia artificial y grandes modelos de lenguaje. El conjunto de herramientas para agentes de la empresa de pagos brindará a los desarrolladores las herramientas y recursos necesarios para integrar agentes de IA con servicios financieros.
La plataforma global de procesamiento de pagos Stripe ha presentado una nueva funcionalidad impulsada por tecnología de inteligencia artificial. La empresa de tecnología anunció recientemente una nueva automatización relacionada con las actividades financieras que los agentes de IA pueden aprovechar. El conjunto de herramientas para agentes se integra con marcos destacados que permiten a los agentes de IA capitalizar los servicios financieros de la empresa.
Los desarrolladores pueden integrar sus agentes de IA con el conjunto de herramientas del agente para automatizar los servicios financieros y ofrecer nuevas formas para que los participantes generen nuevos ingresos, automaticen tareas de soporte y manejen transacciones.
El kit de herramientas para agentes de Stripe presenta una nueva automatización para agentes de IA
Hoy(), @stripe está lanzando un SDK creado para agentes de IA:
– Los LLM pueden llamar a API de pago, facturación, emisión, etc.
– Se integra con @vercel , @LangChainAI ,@crewAIInc
– Utilice cualquier modelo a través de funciones (con facturación por token)Estoy entusiasmado con lo que usted y sus bots construyen: https://t.co/3GiXmNm6en
- Jeff Weinstein (@jeff_weinstein) 14 de noviembre de 2024
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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