Stripe lança SDK para agentes de IA acessarem APIs de pagamento e cobrança
A gigante global de pagamentos Stripe desbloqueou uma nova automação aproveitando agentes de IA e grandes modelos de linguagem. O kit de ferramentas do agente da empresa de pagamento fornecerá aos desenvolvedores as ferramentas e recursos necessários para integrar os agentes de IA aos serviços financeiros.
A plataforma global de processamento de pagamentos Stripe revelou novas funcionalidades impulsionadas pela tecnologia de IA. A empresa de tecnologia anunciou recentemente uma nova automação relacionada às atividades financeiras que os agentes de IA podem aproveitar. O kit de ferramentas do agente integra-se a estruturas proeminentes que permitem aos agentes de IA capitalizar os serviços financeiros da empresa.
Os desenvolvedores podem integrar seus agentes de IA ao kit de ferramentas do agente para automatizar serviços financeiros e oferecer novas maneiras para os participantes gerarem novas receitas, automatizarem tarefas de suporte e lidarem com transações.
O kit de ferramentas Agent da Stripe revela nova automação para agentes de IA
Hoje(), @stripe está lançando um SDK desenvolvido para agentes de IA:
– LLMs podem chamar APIs de pagamento, cobrança, emissão, etc.
– Integra-se com @vercel , @LangChainAI ,@crewAIInc
– Use qualquer modelo via funções (com cobrança por token)Animado com o que você e seus bots estão construindo: https://t.co/3GiXmNm6en
— Jeff Weinstein (@jeff_weinstein) 14 de novembro 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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