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LangGraph

LangGraph x402 Integration

LangGraph extends LangChain with powerful graph-based orchestration for complex, stateful AI applications. It enables sophisticated control flows, multi-actor coordination, and advanced planning patterns. With built-in state management and tool integration, LangGraph provides robust foundation for x402 payment workflows that require complex decision trees and stateful interactions.
Advanced
Python
Production Ready

⚡ x402 Integration Method

Integration Type: Tools Functions

LangGraph's sophisticated state management and tool system enables complex x402 payment workflows with multi-step validation, approval processes, and transaction orchestration.

Setup Complexity
High
Maintenance
Medium
Documentation
Good
Examples
Available

Installation & Setup

Install the necessary packages to get started with x402 payments in LangGraph:

# Install the necessary packages
pip install langgraph langgraph-openai x402-langgraph

The x402-langgraph package is a helper library that simplifies wrapping facilitators into LangGraph-compatible tools, bridging our facilitator ecosystem with your agent framework.

Integration Examples

x402 Payment Approval Workflow

Build a complex payment approval workflow with LangGraph that includes validation, approval routing, and execution steps

Python
Advanced
⏱️ 2 hours
from langgraph.graph import StateGraph, END
from typing import TypedDict
from x402_client import X402Client

class PaymentState(TypedDict):
    amount: str
    recipient: str
    approved: bool
    transaction_id: str

def validate_payment(state: PaymentState):
    # Validation logic
    return {"validated": True}

def approve_payment(state: PaymentState):
    # Approval logic
    return {"approved": True}

def execute_payment(state: PaymentState):
    client = X402Client()
    result = client.send_payment(state["amount"], state["recipient"])
    return {"transaction_id": result.id}

workflow = StateGraph(PaymentState)
workflow.add_node("validate", validate_payment)
workflow.add_node("approve", approve_payment)
workflow.add_node("execute", execute_payment)

workflow.add_edge("validate", "approve")
workflow.add_edge("approve", "execute")
workflow.add_edge("execute", END)
Prerequisites:

LangGraph installation

Graph workflow concepts

x402 client library

Python async knowledge

Choosing Your Facilitator

The X402PaymentTool is generic and works with any facilitator that has a compatible client. Here's how you might initialize different clients based on your specific needs:

For Enterprise (CDP)
from x402_facilitators import CDPClient
client = CDPClient(api_key="...")

See the CDP Facilitator Guide for details.

For Zero Fees (Mogami)
from x402_facilitators import MogamiClient
client = MogamiClient(wallet_pk="...")

See the Mogami Facilitator Guide for details.

For Developer Experience (thirdweb)
from x402_facilitators import ThirdwebClient
client = ThirdwebClient(secret_key="...")

See the thirdweb Facilitator Guide for details.

Custom Setup
# Use any facilitator from our hub
from x402_facilitators import CustomClient
client = CustomClient(config={"..."})

Browse all 8 facilitators in our hub.

Need help choosing? Visit our Facilitator Comparison Hub to compare features, fees, and integration complexity across all 8 facilitators.

Quick Info
Category

Workflow Orchestration

Primary Language

Python

License

MIT

Latest Version

0.2.16

Resources
Official WebsiteDocumentationGitHub Repository
Community Stats

GitHub Stars

7,500

Weekly Downloads

450,000

Community Size

Large

Payment-Enabled Use Cases

Complex multi-step workflows

Financial approval processes

Advanced reasoning chains

Multi-agent coordination

State-dependent decision making

Error handling and recovery

Human oversight workflows

Compliance and audit trails

Strengths

Sophisticated graph-based orchestration

Advanced state management capabilities

Excellent for complex workflows

Strong LangChain ecosystem integration

Active development with regular updates

Production-ready with LangGraph Platform

Powerful debugging and visualization

Flexible control flow patterns

Limitations

Steep learning curve for complex features

Overkill for simple linear workflows

Requires understanding of graph theory

Limited documentation for advanced patterns

Can be complex to debug

Performance overhead for simple tasks

Relatively new framework

Learning curve from LangChain

Get the Complete Template

Access a complete, runnable repository with working LangGraph x402 integration examples, configuration templates, and step-by-step setup guides.

View on GitHub: LangGraph x402 Template
⭐ Includes Docker setup, environment templates, and production deployment guides

Ready to Build Payment-Enabled Agents?

Get started with our complete LangGraph x402 integration template. Includes working examples, facilitator configurations, and production-ready code.

View GitHub TemplateBrowse All Facilitators
💡 Most developers have a working integration in under 30 minutes
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