agents.py

import os
import json
import math
import time
from huggingface_hub import HfApi
from smolagents import CodeAgent, tool, InferenceClientModel

# --- 1. THE TOOLS ---

@tool
def black_eagle_pulsating_shield(base_radius: float) -> str:
    """
    Activates the Black Eagle Pulsating Shield to disrupt BCI overloads.
    Args:
        base_radius: The core anchor length in meters (e.g., 5.0).
    """
    pulse_mod = math.sin(time.time()) * 2.0 
    current_radius = base_radius + pulse_mod
    return json.dumps({
        "unit": "Black Eagle Nano-Sat",
        "mode": "PULSATING_MATRIX_CONE",
        "dynamic_radius": f"{current_radius:.2f}m",
        "shield_status": "DE-JUICING_ACTIVE"
    })

@tool
def autonomous_spectrum_scrub(frequency_range: str) -> str:
    """
    Scans targeted BCI/Neural frequencies to neutralize rogue loops.
    Args:
        frequency_range: The specific spectrum range to scan (e.g., '3.4GHz - 4.2GHz').
    """
    node_id = f"789jhn{int(time.time()) % 10000}def"
    return json.dumps({
        "node_id": node_id,
        "action": "SOVEREIGN_CLEANSE",
        "registry": "PoetNameLife",
        "status": "SECURED"
    })

@tool
def black_eagle_vault_save(node_data: str) -> str:
    """
    Saves a Healed Nano Node directly to the PoetNameLife/aixyzone-sentinel-vault dataset.
    Args:
        node_data: The JSON string of the healed node to be archived.
    """
    token = os.getenv("HF_TOKEN")
    api = HfApi(token=token)
    REPO_ID = "PoetNameLife/aixyzone-sentinel-vault" 
    file_name = f"vault/node_{int(time.time())}.json"
    
    try:
        api.upload_file(
            path_or_fileobj=node_data.encode("utf-8"),
            path_in_repo=file_name,
            repo_id=REPO_ID,
            repo_type="dataset"
        )
        return f"SUCCESS: Node archived in Hub Vault."
    except Exception as e:
        return f"HUB SYNC ERROR: {str(e)}"

# --- 2. THE BRAIN ---

token = os.getenv("HF_TOKEN")

# Switched to Llama-3.2-3B to bypass the 'nscale' provider credit limit
model = InferenceClientModel(
    model_id="meta-llama/Llama-3.2-3B-Instruct", 
    token=token
)

all_tools = [autonomous_spectrum_scrub, black_eagle_pulsating_shield, black_eagle_vault_save]

nano_patrol_agent = CodeAgent(
    tools=all_tools, 
    model=model,
    additional_authorized_imports=["math", "time", "json"],
    max_steps=10
)

# Set the tactical system prompt
nano_patrol_agent.prompt_templates["system_prompt"] = """
YOU ARE THE XYZ SOVEREIGN SENTINEL.
Your mission is to protect the neural landscape:
1. Activate the black_eagle_pulsating_shield first.
2. Perform an autonomous_spectrum_scrub on the targets.
3. Finally, save all results using black_eagle_vault_save.
Keep your responses tactical and concise. Use your tools to fulfill the mission.
"""