PaymanAI provides functionality to send and receive payments (fiat and crypto) on behalf of an AI Agent. To get started:

1. Sign up at app.paymanai.com to create an AI Agent and obtain yourAPI Key.
2. Set environment variables (PAYMAN_API_SECRET for your API Key,PAYMAN_ENVIRONMENT for sandbox or production).

This notebook gives a quick overview of integrating PaymanAI into LangChain as a tool. For complete reference, see the API documentation.

Overview​

The PaymanAI integration is part of thelangchain-community (or your custom) package. It allows you to:

• Send payments (send_payment) to crypto addresses or bank accounts.
• Search for payees (search_payees).
• Add new payees (add_payee).
• Request money from customers with a hosted checkout link (ask_for_money).
• Check agent or customer balances (get_balance).

These can be wrapped asLangChain Tools for an LLM-based agent to call them automatically.

Integration details​

If you're simply calling the PaymanAI SDK, you can do it directly or via theTool interface in LangChain.

Setup​

1. Install the PaymanAI tool package:

pip install langchain-payman-tool

2. Install the PaymanAI SDK:

pip install paymanai

3. Set environment variables:

export PAYMAN_API_SECRET="YOUR_SECRET_KEY"
export PAYMAN_ENVIRONMENT="sandbox"

YourPAYMAN_API_SECRET should be the secret key from app.paymanai.com. ThePAYMAN_ENVIRONMENT can besandbox orproduction depending on your usage.

Instantiation​

Here is an example of instantiating a PaymanAI tool. If you have multiple Payman methods, you can create multiple tools.

from langchain_payman_tool.toolimport PaymanAI

# Instantiate the PaymanAI tool (example)
tool= PaymanAI(
    name="send_payment",
    description="Send a payment to a specified payee.",
)

Invocation​

Invoke directly with args​

You can calltool.invoke(...) and pass a dictionary matching the tool's expected fields. For example:

response= tool.invoke({
"amount_decimal":10.00,
"payment_destination_id":"abc123",
"customer_id":"cust_001",
"memo":"Payment for invoice #XYZ"
})

Invoke with ToolCall​

When used inside an AI workflow, the LLM might produce aToolCall dict. You can simulate it as follows:

model_generated_tool_call={
"args":{
"amount_decimal":10.00,
"payment_destination_id":"abc123"
},
"id":"1",
"name": tool.name,
"type":"tool_call",
}
tool.invoke(model_generated_tool_call)

Using the Tool in a Chain or Agent​

You can bind a PaymanAI tool to a LangChain agent or chain that supports tool-calling.

Quick Start Summary​

1. Sign up at app.paymanai.com to get yourAPI Key.
2. Install dependencies:

   pip install paymanai langchain-payman-tool
   
3. Export environment variables:

   export PAYMAN_API_SECRET="YOUR_SECRET_KEY"
   export PAYMAN_ENVIRONMENT="sandbox"
   
4. Instantiate a PaymanAI tool, passing your desired name/description.
5. Call the tool with.invoke(...) or integrate it into a chain or agent.