LangGraph

  pip install -U langgraph langchain-together

  pnpm add @langchain/langgraph @langchain/core  @langchain/community

export TOGETHER_API_KEY=***

import os
from langchain_together import ChatTogether

llm = ChatTogether(
    model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
    api_key=os.getenv("TOGETHER_API_KEY"),
)


# Define a tool
def multiply(a: int, b: int) -> int:
    return a * b


# Augment the LLM with tools
llm_with_tools = llm.bind_tools([multiply])

# Invoke the LLM with input that triggers the tool call
msg = llm_with_tools.invoke("What is 2 times 3?")

# Get the tool call
msg.tool_calls

import { ChatTogetherAI } from "@langchain/community/chat_models/togetherai";

const llm = new ChatTogetherAI({
    model: "meta-llama/Llama-3.3-70B-Instruct-Turbo",
    apiKey: process.env.TOGETHER_API_KEY,
});

// Define a tool
const multiply = {
    name: "multiply",
    description: "Multiply two numbers",
    schema: {
        type: "function",
        function: {
            name: "multiply",
            description: "Multiply two numbers",
            parameters: {
                type: "object",
                properties: {
                    a: { type: "number" },
                    b: { type: "number" },
                },
                required: ["a", "b"],
            },
        },
    },
};

// Augment the LLM with tools
const llmWithTools = llm.bindTools([multiply]);

// Invoke the LLM with input that triggers the tool call
const msg = await llmWithTools.invoke("What is 2 times 3?");

// Get the tool call
console.log(msg.tool_calls);