The framework for
building agents

# Identity

You are an expert weather assistant.
You can fetch the weather for any
city in the world.

import { defineAgent } from "eve";

export default defineAgent({
  model: "openai/gpt-5.4-mini",
});

---
description: Research unfamiliar topics
---

When the task is novel or ambiguous,
gather evidence first, then answer.

import { defineTool } from "eve/tools";
import { z } from "zod";

export default defineTool({
  description: "Get the weather for a city",
  inputSchema: z.object({
    cityName: z.string(),
  }),
  async execute(input) {
    const res = await fetch(
      `${process.env.WEATHER_API_URL}/current?city=${input.cityName}`
    );
    const data = await res.json();
    return data.current_condition[0];
  },
});

import {
  defineSandbox,
  vercelSandboxBackend,
} from "eve/sandbox";

export default defineSandbox({
  backend: vercelSandboxBackend({
    runtime: "node24",
  }),
});

import { connectSlackCredentials } from "@vercel/connect/eve";
import { slackChannel } from "eve/channels/slack";

export default slackChannel({
  credentials: connectSlackCredentials("slack/my-agent"),
});

import { connect } from "@vercel/connect/eve";
import { defineMcpClientConnection } from "eve/connections";

export default defineMcpClientConnection({
  url: "https://mcp.linear.app/sse",
  description: "Linear workspace: issues, projects, cycles, and comments.",
  auth: connect("linear"),
});

import { defineAgent } from "eve";

export default defineAgent({
  description: "Investigate questions",
  model: "openai/gpt-5.4",
});

---
cron: "0 8 * * *"
---

Send the user a daily weather
digest for their saved cities.