![agent-toolkit](/statics/github-mark.png)
agent-toolkit
Python and TypeScript library for integrating the Stripe API into agentic workflows
Stars: 214
![screenshot](/screenshots_githubs/stripe-agent-toolkit.jpg)
The Stripe Agent Toolkit enables popular agent frameworks to integrate with Stripe APIs through function calling. It includes support for Python and TypeScript, built on top of Stripe Python and Node SDKs. The toolkit provides tools for LangChain, CrewAI, and Vercel's AI SDK, allowing users to configure actions like creating payment links, invoices, refunds, and more. Users can pass the toolkit as a list of tools to agents for integration with Stripe. Context values can be provided for making requests, such as specifying connected accounts for API calls. The toolkit also supports metered billing for Vercel's AI SDK, enabling billing events submission based on customer ID and input/output meters.
README:
The Stripe Agent Toolkit enables popular agent frameworks including LangChain, CrewAI, and Vercel's AI SDK, to integrate with Stripe APIs through function calling. The library is not exhaustive of the entire Stripe API. It includes support for both Python and TypeScript and is built directly on top of the Stripe Python and Node SDKs.
Included below are basic instructions, but refer to the Python and TypeScript packages for more information.
You don't need this source code unless you want to modify the package. If you just want to use the package run:
pip install stripe-agent-toolkit
- Python 3.11+
The library needs to be configured with your account's secret key which is available in your Stripe Dashboard.
from stripe_agent_toolkit.crewai.toolkit import StripeAgentToolkit
stripe_agent_toolkit = StripeAgentToolkit(
secret_key="sk_test_...",
configuration={
"actions": {
"payment_links": {
"create": True,
},
}
},
)
The toolkit works with LangChain and CrewAI and can be passed as a list of tools. For example:
from crewai import Agent
stripe_agent = Agent(
role="Stripe Agent",
goal="Integrate with Stripe",
backstory="You are an expert at integrating with Stripe",
tools=[*stripe_agent_toolkit.get_tools()]
)
Examples for LangChain and CrewAI are included in /examples.
In some cases you will want to provide values that serve as defaults when making requests. Currently, the account
context value enables you to make API calls for your connected accounts.
stripe_agent_toolkit = StripeAgentToolkit(
secret_key="sk_test_...",
configuration={
"context": {
"account": "acct_123"
}
}
)
You don't need this source code unless you want to modify the package. If you just want to use the package run:
npm install @stripe/agent-toolkit
- Node 18+
The library needs to be configured with your account's secret key which is available in your Stripe Dashboard. Additionally, configuration
enables you to specify the types of actions that can be taken using the toolkit.
import {StripeAgentToolkit} from "@stripe/agent-toolkit/langchain";
const stripeAgentToolkit = new StripeAgentToolkit({
secretKey: process.env.STRIPE_SECRET_KEY!,
configuration: {
actions: {
paymentLinks: {
create: true,
},
},
},
});
The toolkit works with LangChain and Vercel's AI SDK and can be passed as a list of tools. For example:
import {AgentExecutor, createStructuredChatAgent} from 'langchain/agents';
const tools = stripeAgentToolkit.getTools();
const agent = await createStructuredChatAgent({
llm,
tools,
prompt,
});
const agentExecutor = new AgentExecutor({
agent,
tools,
});
In some cases you will want to provide values that serve as defaults when making requests. Currently, the account
context value enables you to make API calls for your connected accounts.
const stripeAgentToolkit = new StripeAgentToolkit({
secretKey: process.env.STRIPE_SECRET_KEY!,
configuration: {
context: {
account: 'acct_123',
},
},
})
For Vercel's AI SDK, you can use middleware to submit billing events for usage. All that is required is the customer ID and the input/output meters to bill.
import {StripeAgentToolkit} from '@stripe/agent-toolkit/ai-sdk';
import {openai} from '@ai-sdk/openai';
import {
generateText,
experimental_wrapLanguageModel as wrapLanguageModel,
} from 'ai';
const stripeAgentToolkit = new StripeAgentToolkit({
secretKey: process.env.STRIPE_SECRET_KEY!,
configuration: {
actions: {
paymentLinks: {
create: true,
},
},
},
});
const model = wrapLanguageModel({
model: openai('gpt-4o'),
middleware: stripeAgentToolkit.middleware({
billing: {
customer: 'cus_123',
meters: {
input: 'input_tokens',
output: 'output_tokens',
},
},
}),
});
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