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This article outlines the Stripe AI Toolkit, which provides SDKs for integrating Stripe's APIs with various agent frameworks like OpenAI's and LangChain. It includes setup instructions for Python and Node.js, emphasizing the use of Restricted API Keys for security. Examples demonstrate how to create and use Stripe agents in applications.
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The GitHub repository provides a suite of tools for integrating Stripe with various AI frameworks. Key components include the Stripe Agent Toolkit, designed to work with OpenAI's Agent SDK, LangChain, CrewAI, and Vercel's AI SDK. The toolkit is available in both Python and TypeScript, and it allows developers to connect Stripe APIs through function calling. This integration facilitates smoother interactions for AI applications using Stripeβs billing infrastructure.
For Python users, the installation command is `pip install stripe-agent-toolkit`, and it requires Python 3.11 or higher. Developers must configure the library with their Stripe secret key, ideally using a Restricted API Key for enhanced security. Basic usage examples demonstrate how to create an agent using the toolkit and access available tools. The same principles apply for Node.js users, who can install the toolkit with `npm install @stripe/agent-toolkit`, needing Node 18 or higher.
The repository also details how to set default values for API requests, particularly for connected accounts. The account context can be specified in the toolkit configuration, allowing for targeted API calls. Examples for various frameworks are provided in the `/examples` directory, offering practical guidance for implementation. Overall, this resource streamlines the integration of Stripe services within AI-driven applications, enhancing functionality and security.
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