Calendar Agent

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pnpm add composio-core dotenv langchain @langchain/openai

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

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// Initialize the language model
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const llm = new ChatOpenAI({ model: "gpt-4-turbo" });
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// Define tools for the agents
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// We are using Google calendar tool from composio to connect to our calendar account.
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const composioToolset = new LangchainToolSet({
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    apiKey: process.env.COMPOSIO_API_KEY
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});
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const tools = await composioToolset.getTools({
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    actions: ["googlecalendar_create_event", "googlecalendar_list_events"]
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});
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// Retrieve the current date and time
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const getCurrentDate = () => new Date().toISOString().split('T')[0];
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const getTimezone = () => new Date().toLocaleTimeString('en-us', { timeZoneName: 'short' }).split(' ')[2];
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const date = getCurrentDate();
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const timezone = getTimezone();

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// Setup Todo
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const todo = `
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    1PM - 3PM -> Code solo
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    5PM - 7PM -> Meeting,
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    9AM - 12AM -> Learn something,
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    8PM - 10PM -> Game
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`;

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// Create and Execute Agent.
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async function runAgent() {
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    const prompt = await pull("hwchase17/openai-functions-agent");
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    const agent = await createOpenAIFunctionsAgent({
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        llm,
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        tools,
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        prompt
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    });
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    const agentExecutor = new AgentExecutor({
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        agent,
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        tools,
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        verbose: true,
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    });
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    const result = await agentExecutor.invoke({
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        input: `Book slots according to this todo list: ${todo}. 
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                Label them with the work provided to be done in that time period. 
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                Schedule it for today. Today's date is ${date} (it's in YYYY-MM-DD format) 
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                and make the timezone be ${timezone}.`
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    });
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    console.log(result.output);
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    return "Agent execution completed";
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}
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runAgent().then(console.log).catch(console.error);