LangChain Integration

LangChain Integration

Use HydraSkill with LangChain’s web tools for reliable agent browsing.

Setup

pip install hydraskill langchain langchain-community

With WebBaseLoader

from hydraskill import ProxyClient
from langchain_community.document_loaders import WebBaseLoader

client = ProxyClient()
proxy = client.get_proxy(target="example.com", session_lock=True)

loader = WebBaseLoader(
    "https://example.com/article",
    proxies=proxy.to_dict()
)
docs = loader.load()

With Browser Tools

from langchain.tools import Tool
from hydraskill import ProxyClient

client = ProxyClient()

def browse_with_proxy(url: str) -> str:
    proxy = client.get_proxy(target=url)
    response = requests.get(url, proxies=proxy.to_dict())
    return response.text

browse_tool = Tool(
    name="browse",
    func=browse_with_proxy,
    description="Browse a URL with proxy protection"
)

Benefits for LangChain Agents

• Agents can browse any website without IP blocks
• Long-running research tasks maintain session continuity
• Multi-step web interactions don’t get interrupted
• No need to add retry logic in your agent code