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Calendar Agent GitHub Repository

Explore the complete source code for the Calendar Agent project. This repository contains all the necessary files and scripts to set up and run the Calendar Agent using CrewAI and Composio.
1

Install the required packages

pnpm add composio-core dotenv langchain @langchain/openai
Create a .env file and add your OpenAI API Key.
2

Import base packages

Next, we’ll import the essential libraries for our project.
import dotenv from 'dotenv';
import { ChatOpenAI } from "@langchain/openai";
import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
import { pull } from "langchain/hub";
import { LangchainToolSet } from "composio-core";

dotenv.config();
3

Initialise Language Model and Define tools

We’ll initialize our language model and set up the necessary tools for our agents.
// Initialize the language model
const llm = new ChatOpenAI({ model: "gpt-4-turbo" });

// Define tools for the agents
// We are using Google calendar tool from composio to connect to our calendar account.
const composioToolset = new LangchainToolSet({
    apiKey: process.env.COMPOSIO_API_KEY
});
const tools = await composioToolset.getTools({
    actions: ["googlecalendar_create_event", "googlecalendar_list_events"]
});

// Retrieve the current date and time
const getCurrentDate = () => new Date().toISOString().split('T')[0];
const getTimezone = () => new Date().toLocaleTimeString('en-us', { timeZoneName: 'short' }).split(' ')[2];

const date = getCurrentDate();
const timezone = getTimezone();
4

Setup Todo

Define the todo list that we want to convert into calendar events.
// Setup Todo
const todo = `
    1PM - 3PM -> Code solo
    5PM - 7PM -> Meeting,
    9AM - 12AM -> Learn something,
    8PM - 10PM -> Game
`;
5

Create and Execute Agent

Finally, we’ll define and execute the agent responsible for creating Google Calendar events based on the todo list.
// Create and Execute Agent.
async function runAgent() {
    const prompt = await pull("hwchase17/openai-functions-agent");
    const agent = await createOpenAIFunctionsAgent({
        llm,
        tools,
        prompt
    });

    const agentExecutor = new AgentExecutor({
        agent,
        tools,
        verbose: true,
    });

    const result = await agentExecutor.invoke({
        input: `Book slots according to this todo list: ${todo}. 
                Label them with the work provided to be done in that time period. 
                Schedule it for today. Today's date is ${date} (it's in YYYY-MM-DD format) 
                and make the timezone be ${timezone}.`
    });

    console.log(result.output);
    return "Agent execution completed";
}

runAgent().then(console.log).catch(console.error);

​
Complete Code

import dotenv from 'dotenv';
import { ChatOpenAI } from "@langchain/openai";
import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
import { pull } from "langchain/hub";
import { LangchainToolSet } from "composio-core";

dotenv.config();

// Initialize the language model
const llm = new ChatOpenAI({ model: "gpt-4-turbo"});

// Define tools for the agents
const composioToolset = new LangchainToolSet({
    apiKey: process.env.COMPOSIO_API_KEY
});

// Retrieve the current date and time
const getCurrentDate = () => new Date().toISOString().split('T')[0];
const getTimezone = () => new Date().toLocaleTimeString('en-us', { timeZoneName: 'short' }).split(' ')[2];

const date = getCurrentDate();
const timezone = getTimezone();

// Setup Todo
const todo = `
    1PM - 3PM -> Code solo
`;

async function runAgent() {
    const tools = await composioToolset.getTools({
    actions: ["googlecalendar_create_event", "googlecalendar_list_events"]
});
    const prompt = await pull("hwchase17/openai-functions-agent");
    const agent = await createOpenAIFunctionsAgent({
        llm,
        tools,
        prompt
    });

const agentExecutor = new AgentExecutor({
    agent,
    tools,
    verbose: true,
});

const result = await agentExecutor.invoke({
    input: `Book slots according to this todo list: ${todo}. 
            Label them with the work provided to be done in that time period. 
            Schedule it for today. Today's date is ${date} (it's in YYYY-MM-DD format) 
            and make the timezone be ${timezone}.`
});

console.log(result.output);
return "Agent execution completed";
}

runAgent().then(console.log).catch(console.error);