stripe-agent-toolkit

import asyncio import os from stripe_agent_toolkit.openai.toolkit import create_stripe_agent_toolkit async def main(): # It is strongly recommended to use a Restricted API Key (rk_*) for better security. # Store your secret key securely, e.g., in an environment variable. stripe_secret_key = os.environ.get('STRIPE_SECRET_KEY', 'sk_test_YOUR_TEST_KEY') if not stripe_secret_key or stripe_secret_key == 'sk_test_YOUR_TEST_KEY': print("Warning: Please set the STRIPE_SECRET_KEY environment variable ", "or replace 'sk_test_YOUR_TEST_KEY' with a real (test) key.") return # Initialize the toolkit with your secret key and specify allowed actions. # Tool availability is determined by permissions on the restricted key. toolkit = await create_stripe_agent_toolkit( secret_key=stripe_secret_key, configuration={ "actions": { "payment_links": { "create": True } } } ) try: tools = toolkit.get_tools() print(f"Available Stripe Agent Tools: {[tool.name for tool in tools]}") # Example: Integrate with an agent framework (e.g., OpenAI's Agent SDK or LangChain) # This part assumes an agent framework is set up to consume these tools. # For a full agent example, refer to the Stripe Agent Toolkit documentation. # In a real agent workflow, the agent would call these tools based on user prompts. # For demonstration, let's pretend to call a tool. if 'create_payment_link' in [tool.name for tool in tools]: print("\n'create_payment_link' tool is available. Your agent can now create payment links.") # Example of how an agent might use a tool (simplified representation): # agent_response = await agent.run("Create a payment link for a product 'Premium Widget' for $25.00.") # print(agent_response) finally: # Clean up resources when done. await toolkit.close() if __name__ == "__main__": asyncio.run(main())