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Adding payments to your LLM agentic workflows | Stripe Dot Dev Blog

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Large language models (LLMs) can be used to create a broad spectrum of automations, often personified as “AI agents.” These automations can translate prompts into sequences of programmatic actions to interact with other systems. These agents are built using new frameworks that blend prompting and function calling. This post explores how to integrate the Stripe agent toolkit into these new frameworks and some common use cases. Stripe can enhance your agents’ functionality by enabling access to financial services and tools to allow your agents to help you earn and spend funds, facilitate common support operations, and bill for usage with metered billing. An “agentic workflow” combines large language models and function calling to achieve an objective. For example, consider searching for and purchasing a flight. A user may query, “Book a flight from New York to San Francisco on 4/24 for under $500.” To achieve this, we need to be able to: Frameworks including Vercel’s AI SDK, LangChain, a

Large language models (LLMs) can be used to create a broad spectrum of automations, often personified as “AI agents.” These automations can translate prompts into sequences of programmatic actions to interact with other systems. These agents are built using new frameworks that blend prompting and function calling. This post explores how to integrate the Stripe agent toolkit into these new frameworks and some common use cases. Stripe can enhance your agents’ functionality by enabling access to financial services and tools to allow your agents to help you earn and spend funds, facilitate…

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