LangChain

pip install xenarch[agent,langchain]

from xenarch.tools.langchain import CheckGateTool, PayTool, GetHistoryTool

tools = [CheckGateTool(), PayTool(), GetHistoryTool()]

from dotenv import load_dotenv
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
from xenarch.tools.langchain import CheckGateTool, PayTool, GetHistoryTool

load_dotenv()

llm = ChatOpenAI(model="gpt-4o-mini", temperature=0)
tools = [CheckGateTool(), PayTool(), GetHistoryTool()]

agent = create_react_agent(
    llm,
    tools,
    prompt=(
        "You are a helpful assistant with Xenarch payment tools. "
        "You can check URLs for payment gates, pay for gated content, "
        "and review payment history."
    ),
)

result = agent.invoke({
    "messages": [{
        "role": "user",
        "content": "Check if example.com has a paywall and pay if needed."
    }]
})

# Anthropic
from langchain_anthropic import ChatAnthropic
llm = ChatAnthropic(model="claude-sonnet-4-20250514")

# Local model via Ollama
from langchain_community.llms import Ollama
llm = Ollama(model="llama3")