A.I.StateMachine

Sleeping

A.I.StateMachine

File size: 7,830 Bytes


from langfuse import Langfuse
from langfuse.decorators import observe, langfuse_context

from config.config import settings
from services.llama_generator import LlamaGenerator
import os

# Initialize Langfuse
os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-lf-04d2302a-aa5c-4870-9703-58ab64c3bcae"
os.environ["LANGFUSE_SECRET_KEY"] = "sk-lf-d34ea200-feec-428e-a621-784fce93a5af"
os.environ["LANGFUSE_HOST"] = "https://chris4k-langfuse-template-space.hf.space"  # 🇪🇺 EU region

try:
    langfuse = Langfuse()
except Exception as e:
    print("Langfuse Offline")
    


########

html = """
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>AI State Machine</title>
    <style>
        body { font-family: Arial, sans-serif; text-align: center; }
        #chatbox { width: 80%; height: 300px; border: 1px solid #ccc; overflow-y: auto; margin: 20px auto; padding: 10px; }
        #inputbox { width: 70%; padding: 5px; }
        button { padding: 5px 10px; }
    </style>
</head>
<body>
    <h2>AI State Machine</h2>
    <div id="chatbox"></div>
    <input type="text" id="inputbox" placeholder="Type your message...">
    <button onclick="sendMessage()">Send</button>

    <script>
        let ws = new WebSocket("wss://chris4k-a-i-statemachine.hf.space/ws");

        ws.onmessage = (event) => {
            let chatbox = document.getElementById("chatbox");
            chatbox.innerHTML += `<p>${event.data}</p>`;
            chatbox.scrollTop = chatbox.scrollHeight;
        };

        function sendMessage() {
        console.log("sending .... ")
            let input = document.getElementById("inputbox");
            let message = input.value.trim();
            if (message) {
                ws.send(message);
                input.value = "";
            }
        }



      ws.onopen = function() {
        console.log("WebSocket connected!");
        ws.send("Hello AI!"); // Send message to backend once the connection is open.
      };
    
      ws.onmessage = function(event) {
        console.log("Message from server: ", event.data); // Logs the AI/system message.
      };
    
      ws.onerror = function(error) {
        console.error("WebSocket Error: ", error);
      };    
 
        
    </script>
</body>
</html>
"""
######

import asyncio
import queue
import threading
import random
import time
from fastapi import FastAPI, WebSocket
from fastapi.responses import HTMLResponse
import uvicorn

# FastAPI App
app = FastAPI()

class AIStateManager:
    def __init__(self):
        self.state = "awake"
        self.msg_queue = queue.Queue()
        self.heartbeat_count = 0
        self.lock = threading.Lock()
        self.clients = set()

        # Research Task List
        self.research_tasks = ["Explore AI Ethics", "Find latest AI models", "Investigate quantum computing"]
        self.current_task = None

    def set_state(self, new_state):
        with self.lock:
            print(f"[STATE CHANGE] {self.state} → {new_state}")
            self.state = new_state
            self.add_message("system", f"State changed to {new_state}")

    def receive_message(self, sender, message):
        """Adds messages to queue and resets heartbeat if human sends input."""
        with self.lock:
            self.msg_queue.put((sender, message))
            if sender == "human":
                self.heartbeat_count = 0
                if self.state != "awake":
                    self.set_state("awake")

    def add_message(self, sender, message):
        """AI or System can add messages to queue."""
        with self.lock:
            self.msg_queue.put((sender, message))

    def process_messages(self):
        """Processes messages in queue."""
        while not self.msg_queue.empty():
            sender, message = self.msg_queue.get()
            print(f"[{sender.upper()}] {message}")
            asyncio.create_task(self.broadcast(f"[{sender.upper()}] {message}"))

    async def broadcast(self, message):
        """Sends message to all connected WebSocket clients."""
        for ws in self.clients:
            await ws.send_text(message)

    async def heartbeat(self):
        """Basic heartbeat loop."""
        while True:
            await asyncio.sleep(1)  # One 'beat'
            with self.lock:
                self.heartbeat_count += 1
                self.process_messages()

    async def consciousness(self):
        """Controls research/sleep cycle."""
        while True:
            await asyncio.sleep(2)  # Consciousness checks every 2 sec
            with self.lock:
                if self.state == "awake":
                    if self.heartbeat_count >= 5:
                        self.set_state("research")
                        asyncio.create_task(self.run_research())

                elif self.state == "research":
                    if not self.research_tasks:  # If no tasks left, move to sleep
                        self.set_state("sleeping")
                        asyncio.create_task(self.run_sleeping())

                elif self.state == "sleeping":
                    if self.heartbeat_count >= 20:
                        self.set_state("research")  # Restart research after sleep
                        asyncio.create_task(self.run_research())
                print(self.state)

    async def run_research(self):
        """Runs research tasks in order."""
        while self.state == "research" and self.research_tasks:
            await asyncio.sleep(3)
            self.current_task = self.research_tasks.pop(0)
            self.add_message("ai", f"Researching: {self.current_task}")
            if random.random() < 0.3:  # AI might ask a follow-up question
                self.add_message("ai", f"Question: What do you think about {self.current_task}?")
            self.process_messages()

    async def run_sleeping(self):
        """Runs self-training until state changes."""
        while self.state == "sleeping":
            await asyncio.sleep(5)
            self.add_message("system", "Self-training in progress...")
            self.process_messages()

    def modify_research_tasks(self):
        """Background process to edit research tasks dynamically (subconscious)."""
        while True:
            time.sleep(10)  # Runs every 10 seconds
            with self.lock:
                if self.state == "research" and random.random() < 0.5:
                    new_task = f"Investigate {random.choice(['AI Bias', 'Neural Networks', 'Data Privacy'])}"
                    self.research_tasks.append(new_task)
                    self.add_message("system", f"New research task added: {new_task}")

# Initialize AI Manager
ai_manager = AIStateManager()

# Start Heartbeat and Consciousness in separate threads
threading.Thread(target=lambda: asyncio.run(ai_manager.heartbeat()), daemon=True).start()
threading.Thread(target=lambda: asyncio.run(ai_manager.consciousness()), daemon=True).start()
threading.Thread(target=ai_manager.modify_research_tasks, daemon=True).start()

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    """WebSocket connection handler."""
    await websocket.accept()
    ai_manager.clients.add(websocket)
    try:
        while True:
            data = await websocket.receive_text()  # Receive messages from the user.
            print(f"Received: {data}")  # Debug: Print the received data.
            ai_manager.receive_message("human", data)  # Send it to the AI manager.
    except Exception as e:
        print(f"Connection closed with error: {e}")
        ai_manager.clients.remove(websocket)

@app.get("/")
async def get():
    """Serve frontend HTML."""
    return HTMLResponse(html)

if __name__ == "__main__":
    uvicorn.run(app, host="localhost", port=8000)