Learn,Build&DeployRealAIAgents

import torch
from transformers import AutoModel

class AIAgent:
    def __init__(self):
        self.model =
            AutoModel.from_pretrained(
                "agenticlabs/agent-v2"
            )

    async def think(self, prompt):
        # Process with reasoning
        return await self.model.generate(
            prompt, max_tokens=2048
        )

    async def observe(self, env):
        # Perceive environment state
        return self.encoder.encode(env)

    async def act(self, action):
        # Execute in environment
        await self.env.step(action)

# Instantiate and run
agent = AIAgent()
result = asyncio.run(
    agent.think("Analyse dataset")
)

print(f"Response: {result}")