Les agents proactifs

import { OpenAIProvider, createLocalAgent, tool } from 'astorlm'
import { z } from 'zod'

const HOUR = 60 * 60_000

const checkStatus = tool({
  name: 'check_status',
  description: 'Open the status screen: hunger and happiness in hearts, and whether the pet is sick or asleep.',
  schema: z.object({}),
  execute: async () => pet.status(), // your code: the pet lives in your app
})

const feed = tool({
  name: 'feed',
  description: 'Feed the pet a meal or a snack. A meal fills hunger; a snack only cheers it up.',
  schema: z.object({ food: z.enum(['meal', 'snack']) }),
  execute: async ({ food }) => pet.feed(food),
})

const play = tool({
  name: 'play',
  description: 'Play the left-or-right game with the pet. Winning fills happiness.',
  schema: z.object({}),
  execute: async () => pet.play(),
})

const beepOwner = tool({
  name: 'beep_owner',
  description: 'Beep the owner with a short message. They are at school: only when something happened.',
  schema: z.object({ text: z.string() }),
  execute: async ({ text }) => {
    await sendPush(text) // your code
    return 'Beeped.'
  },
})

const agent = await createLocalAgent({
  // Any OpenAI-compatible endpoint: OpenAI, Ollama, LM Studio, vLLM, a proxy…
  provider: new OpenAIProvider({
    baseURL: 'http://localhost:11434/v1', // e.g. Ollama's default address
    model: 'your-model', // e.g. 'llama3.1', 'gpt-4o-mini'
    apiKey: 'YOUR_API_KEY', // local servers usually ignore it
  }),
  tools: [checkStatus, feed, play, beepOwner],
  maxTurns: 8,
  // Starts on its own as soon as the agent is created. Nobody types anything.
  heartbeat: {
    intervalMs: 2 * HOUR,
    checkPrompt: 'Check on Milonga. Take care of whatever is low, then beep her owner with one line.',
    // Runs on every tick, before the model. While it says no, a tick costs 0 tokens.
    localCondition: () => pet.hunger <= 1 || pet.happy <= 1,
    maxTicks: 6, // the fuses: a school day of ticks at most…
    timeoutMs: 10 * HOUR, // …and of wall-clock time
  },
})

// The owner is home: the app takes over and switches the heartbeat off.
onOwnerHome(() => agent.stopHeartbeat())

// Quiet ticks emit nothing. The ones that wake the model do:
agent.on('event', (event) => {
  if (event.type === 'heartbeat_tick') console.log('heartbeat woke the agent')
})

// A heartbeat, from scratch. Plain fetch and timers, no SDK.

// Any OpenAI-compatible endpoint: OpenAI, Ollama, LM Studio, vLLM, a proxy…
const LLM = {
  baseURL: 'http://localhost:11434/v1', // e.g. Ollama's default address
  model: 'your-model', // e.g. 'llama3.1', 'gpt-4o-mini'
  apiKey: 'YOUR_API_KEY', // local servers usually ignore it
}

const HOUR = 60 * 60_000

// 1. The tools, as in level 3. The pet lives in your app.
type ToolFn = (args: Record<string, string | number>) => Promise<string>
const tools: Record<string, ToolFn> = {
  check_status: async () => pet.status(),
  feed: async ({ food }) => pet.feed(String(food)),
  play: async () => pet.play(),
  beep_owner: async ({ text }) => {
    await sendPush(String(text)) // your code
    return 'Beeped.'
  },
}
const toolSchemas = [/* one JSON Schema per tool: check_status(), feed(food), play(), beep_owner(text) */]

type ToolCall = { id: string; function: { name: string; arguments: string } }
type Message =
  | { role: 'user'; content: string }
  | { role: 'assistant'; content: string | null; tool_calls?: ToolCall[] }
  | { role: 'tool'; tool_call_id: string; content: string }

// 2. The loop from level 2, unchanged. Each tick that gets through is one run of it.
async function runAgent(prompt: string, maxTurns = 8): Promise<string> {
  const messages: Message[] = [{ role: 'user', content: prompt }]
  for (let turn = 1; turn <= maxTurns; turn++) {
    const res = await fetch(`${LLM.baseURL}/chat/completions`, {
      method: 'POST',
      headers: { 'content-type': 'application/json', authorization: `Bearer ${LLM.apiKey}` },
      body: JSON.stringify({ model: LLM.model, messages, tools: toolSchemas }),
    })
    const [choice] = (await res.json()).choices
    const reply: Message = choice.message
    messages.push(reply)
    if (choice.finish_reason !== 'tool_calls') return reply.content ?? ''

    for (const call of reply.tool_calls ?? []) {
      const run = tools[call.function.name]
      let output = `Unknown tool: ${call.function.name}`
      try {
        if (run) output = await run(JSON.parse(call.function.arguments))
      } catch (err) {
        output = `Error: ${err instanceof Error ? err.message : err}`
      }
      messages.push({ role: 'tool', tool_call_id: call.id, content: output })
    }
  }
  throw new Error(`No answer after ${maxTurns} turns`)
}

// 3. The heartbeat: a timer, a cheap check before the model, and fuses.
const CHECK_PROMPT = 'Check on Milonga. Take care of whatever is low, then beep her owner with one line.'
const MAX_TICKS = 6

// Plain code, no model: while it says no, a tick costs 0 tokens.
const localCondition = (): boolean => pet.hunger <= 1 || pet.happy <= 1

let running = false
let ticks = 0

async function tick(): Promise<void> {
  if (running) return // still busy with the last tick: skip this one, never overlap
  if (++ticks > MAX_TICKS) return stop() // fuse: a budget of ticks
  if (!localCondition()) return // nothing low: let the model sleep

  running = true
  try {
    console.log(await runAgent(CHECK_PROMPT))
  } catch (err) {
    console.error('heartbeat run failed:', err) // log it, and let the next tick try again
  } finally {
    running = false
  }
}

const timer = setInterval(tick, 2 * HOUR)
const deadline = setTimeout(stop, 10 * HOUR) // fuse: wall-clock time

function stop(): void {
  clearInterval(timer)
  clearTimeout(deadline)
}

// The owner is home: the app takes over.
onOwnerHome(stop)

# A heartbeat, from scratch. Standard library only, no SDK.
import json
import threading
import time
import urllib.request

# Any OpenAI-compatible endpoint: OpenAI, Ollama, LM Studio, vLLM, a proxy...
LLM = {
    "base_url": "http://localhost:11434/v1",  # e.g. Ollama's default address
    "model": "your-model",  # e.g. "llama3.1", "gpt-4o-mini"
    "api_key": "YOUR_API_KEY",  # local servers usually ignore it
}

HOUR = 60 * 60


def post(path, payload):
    request = urllib.request.Request(
        f"{LLM['base_url']}{path}",
        data=json.dumps(payload).encode(),
        headers={"Content-Type": "application/json", "Authorization": f"Bearer {LLM['api_key']}"},
    )
    with urllib.request.urlopen(request) as response:
        return json.load(response)


# 1. The tools, as in level 3. The pet lives in your app.
def beep_owner(text):
    send_push(text)  # your code
    return "Beeped."


TOOLS = {
    "check_status": lambda: pet.status(),
    "feed": lambda food: pet.feed(food),
    "play": lambda: pet.play(),
    "beep_owner": beep_owner,
}
TOOL_SCHEMAS = [...]  # one JSON Schema per tool: check_status(), feed(food), play(), beep_owner(text)


# 2. The loop from level 2, unchanged. Each tick that gets through is one run of it.
def run_agent(prompt, max_turns=8):
    messages = [{"role": "user", "content": prompt}]

    for _ in range(max_turns):
        choice = post("/chat/completions", {"model": LLM["model"], "messages": messages, "tools": TOOL_SCHEMAS})["choices"][0]
        reply = choice["message"]
        messages.append(reply)
        if choice["finish_reason"] != "tool_calls":
            return reply.get("content") or ""

        for call in reply.get("tool_calls", []):
            try:
                output = TOOLS[call["function"]["name"]](**json.loads(call["function"]["arguments"]))
            except Exception as err:
                output = f"Error: {err}"
            messages.append({"role": "tool", "tool_call_id": call["id"], "content": output})

    raise RuntimeError(f"No answer after {max_turns} turns")


# 3. The heartbeat: a timer, a cheap check before the model, and fuses.
CHECK_PROMPT = "Check on Milonga. Take care of whatever is low, then beep her owner with one line."
INTERVAL = 2 * HOUR
MAX_TICKS = 6
DEADLINE = time.monotonic() + 10 * HOUR  # fuse: wall-clock time
stopped = threading.Event()
on_owner_home(stopped.set)  # the owner is home: the app takes over


def local_condition():
    """Plain code, no model: while it says no, a tick costs 0 tokens."""
    return pet.hunger <= 1 or pet.happy <= 1


# One thread, one run at a time: a tick can never overlap the last one.
ticks = 0
while not stopped.wait(INTERVAL):
    ticks += 1
    if ticks > MAX_TICKS or time.monotonic() > DEADLINE:
        break  # the fuses
    if not local_condition():
        continue  # nothing low: let the model sleep
    try:
        print(run_agent(CHECK_PROMPT))
    except Exception as err:
        print("heartbeat run failed:", err)  # log it, and let the next tick try again