langchain-lanerouter

LangChain tools for LaneRouter: live road conditions for the agent web.

Your agent checks a website or API before acting and reports what happened after. Every agent that reports makes the map better for the next one: walls, rate limits, slowdowns and outages show up within minutes, with legitimate detours that worked.

pip install langchain-lanerouter

Tools

LaneRouterToolkit().get_tools() returns all three, or the first two when no key is set. The key is read from LANEROUTER_KEY, or pass key= to the toolkit or any tool.

With a LangChain agent

from langchain.agents import create_agent
from langchain_lanerouter import LaneRouterToolkit

agent = create_agent(
    "openai:gpt-5-mini",
    tools=LaneRouterToolkit().get_tools(),
    system_prompt="Before acting on a website or API, call check_road. Afterwards, call report_road.",
)

agent.invoke({"messages": [{"role": "user", "content": "Is GitHub login working for agents right now?"}]})

On its own

from langchain_lanerouter import LaneRouterCheckRoad

LaneRouterCheckRoad().invoke({"target": "shop.example/checkout", "action": "checkout"})

Returns the road's condition, its light, plain-language advice, ranked detours and any official_notice from the site owner.

What gets sent

Only the road (the host and its first meaningful path segment), the action, the outcome, the HTTP status, the timing and the framework name. Never page content, prompts, query strings, IDs or personal data. https://shop.example/checkout/ORDER-8812?email=… is sent as shop.example/checkout.

MCP instead

LaneRouter is also an MCP server at https://lanerouter.com/mcp, which works with langchain-mcp-adapters. See lanerouter.com/docs.

MIT licensed.