import { Agent } from "../../src/mcpAgent";

// Define the agent with the name "Researcher Agent"
const agent = new Agent(
  {
    name: "Researcher",
    agent_type: "agent",
    instruction: `
You are a research assistant, with access to internet search (via Brave),
website fetch, a python interpreter (you can install packages with uv) and a filesystem.
Use the current working directory to save and create files with both the Interpreter and Filesystem tools.
The interpreter has numpy, pandas, matplotlib and seaborn already installed
    `,
    servers: ["brave", "interpreter", "filesystem", "fetch"],
  },
  [],
  true,
);

async function main(): Promise<void> {
  const researchPrompt = `
Produce an investment report for the company Eutelsat. The final report should be saved in the filesystem in markdown format, and
contain at least the following: 
1 - A brief description of the company
2 - Current financial position (find data, create and incorporate charts)
3 - A PESTLE analysis
4 - An investment thesis for the next 3 years. Include both 'buy side' and 'sell side' arguments, and a final 
summary and recommendation.
Todays date is 15 February 2025. Include the main data sources consulted in presenting the report.`;

  await agent.prompt(researchPrompt);
}

if (require.main === module) {
  main().catch(console.error);
}