LangChain Integration

npm install @langchain/openai @langchain/core dotenv

pip install langchain-openai langchain-core python-dotenv

import { ChatOpenAI } from "@langchain/openai";
import dotenv from "dotenv";

dotenv.config();

const chat = new ChatOpenAI({
  model: "gpt-4.1-mini",
  apiKey: process.env.PLANCK_API_KEY,
  configuration: {
    baseURL: "https://api.inquantum.ai/v1",
    defaultHeaders: {
      "Planck-Session-Id": "my-session",
      "Planck-User-Id": "user-123",
      "Planck-Property-Environment": "production",
    },
  },
});

import os
from dotenv import load_dotenv
from langchain_openai import ChatOpenAI

load_dotenv()

chat = ChatOpenAI(
    model="gpt-4.1-mini",
    api_key=os.getenv("PLANCK_API_KEY"),
    base_url="https://api.inquantum.ai/v1",
    default_headers={
        "Planck-Session-Id": "my-session",
        "Planck-User-Id": "user-123",
        "Planck-Property-Environment": "production",
    },
)

import { HumanMessage, SystemMessage } from "@langchain/core/messages";

const response = await chat.invoke([
  new SystemMessage("You are a helpful assistant."),
  new HumanMessage("What is the capital of France?"),
]);

console.log(response.content);

from langchain_core.messages import HumanMessage, SystemMessage

response = chat.invoke([
    SystemMessage(content="You are a helpful assistant."),
    HumanMessage(content="What is the capital of France?"),
])

print(response.content)