LangChain SDK Integration

npm install @langchain/openai @langchain/core
# or
yarn add @langchain/openai @langchain/core

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

const interfaze = new ChatOpenAI({
  configuration: {
    baseURL: "https://api.interfaze.ai/v1",
  },
  apiKey: "<your-api-key>",
  model: "interfaze-beta",
});

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

const response = await interfaze.invoke([
  new SystemMessage("You are a helpful assistant."),
  new HumanMessage("Write a short story about a robot learning to paint"),
]);

console.log(response.content);

import { z } from "zod";

const weatherSchema = z.object({
  city: z.string().describe("The name of the city"),
  temperature_celsius: z.number().describe("Current temperature in Celsius"),
  condition: z.string().describe("Weather condition, e.g. sunny, rainy, cloudy"),
});

const structuredModel = interfaze.withStructuredOutput(weatherSchema);

const result = await structuredModel.invoke("What is the current weather in Tokyo?");

console.log(result);

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

const response = await interfaze.invoke([
  new HumanMessage({
    content: [
      { type: "text", text: "What is in this image?" },
      {
        type: "image_url",
        image_url: {
          url: "https://r2public.jigsawstack.com/interfaze/examples/construction.png",
        },
      },
    ],
  }),
]);

console.log(response.content);

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

const stream = await interfaze.stream([
  new HumanMessage("Write a short story about a robot learning to paint"),
]);

for await (const chunk of stream) {
  process.stdout.write(chunk.content as string);
}

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

// Step 1: Define tools
const tools = [
  {
    type: "function" as const,
    function: {
      name: "get_horoscope",
      description: "Get today's horoscope for an astrological sign.",
      parameters: {
        type: "object",
        properties: {
          sign: {
            type: "string",
            description: "An astrological sign like Taurus or Aquarius",
          },
        },
        required: ["sign"],
      },
    },
  },
];

// Step 2: Get tool call from model
const response = await interfaze.invoke(
  [new HumanMessage("Get my horoscope for Taurus")],
  { tools, tool_choice: "auto" },
);

// Step 3: Check if tool was called and execute function
if (response.additional_kwargs.tool_calls?.length) {
  const toolCall = response.additional_kwargs.tool_calls[0];
  const args = JSON.parse(toolCall.function.arguments);

  const result = `Today's horoscope for ${args.sign}: You will have a great day!`;

  // Step 4: Provide result back to model
  const finalResponse = await interfaze.invoke(
    [
      new HumanMessage("Get my horoscope for Taurus"),
      response,
      { role: "tool", tool_call_id: toolCall.id, content: result },
    ],
    { tools, tool_choice: "auto" },
  );

  console.log(finalResponse.content);
}