LangChain Tools
Ready-made LangChain tools for JavaScript and Python: one monitor tool per engine, plus task and credit tools.
Install
npm install @answerline/sdk @answerline/langchain # or: pip install answerline answerline_langchain
Example
import { Client } from "@answerline/sdk";
import { createTools } from "@answerline/langchain";
const tools = createTools(new Client({ apiKey: process.env.API_KEY! }));
// → monitor_chatgpt, monitor_google, ..., create_async_task, get_task_status, get_credits createTools(client) returns a monitor tool per engine (monitor_chatgpt, monitor_google, …) plus create_async_task, get_task_status and get_credits — bindable to any chat model or agent.
Task payloads are validated against the request schema of their engine, so a model can't submit a malformed task.
Other integrations
TypeScript / JavaScript SDK
The official npm SDK: typed monitor and task methods, batches, webhooks and error classes for Node and edge runtimes.
Python SDK
The official PyPI SDK: monitor calls, async tasks and batches with the same response shapes as the REST API.
Hosted MCP Server
Give Claude, Cursor or any MCP client search and AI-answer tools in one line — no code, no infrastructure.
n8n Community Node
Drop AnswerLine into n8n workflows: run monitors, queue tasks and read credits as native nodes.
Zapier App
Trigger Zaps from AI answers: Run Monitor for quick calls, Create Task with a webhook callback for long-running engines.