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Create agents.py
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agents.py
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import json
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from smolagents import CodeAgent, HfApiModel, tool
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# 1. Define the 'Healer' Tool for the Agent
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@tool
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def auto_tune_node(raw_data: str, frequency: float) -> str:
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"""
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Analyzes raw wireless data, identifies rogue daemons, and returns a 'Healed' Nano Node.
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Args:
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raw_data: The contaminated packet or rogue agent string found in the spectrum.
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frequency: The GHz frequency where the anomaly was spotted.
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"""
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# Logic to transform malicious data into a stable Nano Node
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node_id = f"NODE-{hash(raw_data) % 10000}"
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nano_node = {
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"node_id": node_id,
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"spectrum_coordinates": {
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"frequency_ghz": frequency,
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"zone_integrity": 1.0 # Represents a fully healed state
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},
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"neutralized_threat": {
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"threat_type": "Rogue Daemon",
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"original_evil_code_hash": str(hash(raw_data))
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},
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"healing_innovation": f"Transformed {raw_data} into a self-correcting IoT sync pulse.",
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"agent_instructions": ["Propagate safety handshake", "Monitor lateral movement"]
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}
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return json.dumps(nano_node, indent=2)
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# 2. Initialize the AI Sovereign Intelligence (LLM)
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# Uses the high-reasoning Llama-3.2 model from the Hugging Face Hub
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model = HfApiModel(model_id="meta-llama/Llama-3.2-3B-Instruct")
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# 3. Create the Nano-Agent (The 'Patrol' Node)
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nano_patrol_agent = CodeAgent(
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tools=[auto_tune_node],
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model=model,
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system_prompt="""
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You are an XYZ Safe Zone Nano-Agent. Your task is to patrol the wireless spectrum.
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When you find a 'Rogue Daemon' or 'Contaminated Packet', use the auto_tune_node tool
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to generate a healed Nano Node. Ensure all outputs follow the strict JSON schema.
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"""
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)
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# Example command to run the agent:
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# result = nano_patrol_agent.run("Patrol the 5.0GHz band. Spot and heal the 'rogue_echo_agent' detected.")
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