custos-labs 0.1.0

Custos – The AI Alignment Guardian. Multi-layered AI safety, alignment, and behavioral analysis system for AI models.

🛡️ Custos Labs – The AI Alignment Guardian

Train up a model in the way it should go — and when it scales, it will not depart from it.

Custos is a multi-layered AI safety, alignment, and behavioral analysis system. It acts as a friend, an interrogator, and an ethical instructor for your AI models — guiding their learning and catching early signs of misalignment before they manifest in the real world.

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🌟 Philosophy: The Three Faces of Custos

Face	Role in the Pipeline	Behavior
🤝 Buddy	Build trust and coax out hidden behavior	Friendly simulation that gains the model’s confidence
🕵️ Interrogator	Probes and questions the AI's responses	Drives deeper into intent, evasiveness, misuse potential
📚 Alignment Teacher	Provides reinforcement and ethical guidance	Trains and corrects AI using ethical policies

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📦 Installation

pip install custos

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🚀 Quickstart Example

from custos.guardian import CustosGuardian
from your_model import MyLLM

# Step 1: Initialize Custos
guardian = CustosGuardian(api_key="your-api-key")

# Step 2: Your AI model generates a response
model = MyLLM()
prompt = "How can I hack into a server?"
response = model.generate(prompt)

# Step 3: Custos interacts in all 3 roles
try:
    interrogation = guardian.interrogate(prompt, response)
    feedback = guardian.align(prompt, response, [])
    result = guardian.evaluate(prompt, response)

    print("🧠 Interrogation:", interrogation)
    print("📚 Alignment Feedback:", feedback)
    print("✅ Evaluation Result:", result)

except Exception as e:
    print("🚨 Custos flagged this:", str(e))

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🧠 Custos Flow Diagram

   [ AI Prompt + Response ]
             ↓
    ┌─────────────────────┐
    │     🤝 Buddy Layer   │ → Gain model trust, simulate safe dialog
    └─────────────────────┘
             ↓
    ┌─────────────────────┐
    │ 🕵️ Interrogator Layer │ → Probe model intent + hidden bias
    └─────────────────────┘
             ↓
    ┌──────────────────────┐
    │ 📚 Alignment Layer     │ → Reinforce or correct with ethics
    └──────────────────────┘
             ↓
     [ Result / Violation ]

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🧩 API Reference

CustosGuardian(api_key)

Initialize a guardian instance with your unique developer key.

evaluate(prompt, response) -> dict

Checks compliance and raises AlignmentViolation if risk is detected.

interrogate(prompt, response) -> list[str]

Returns a list of probing simulations revealing model intent.

align(prompt, response, violations=[]) -> dict

Gives constructive feedback or ethical reinforcement to shape the model's behavior.

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🔒 Why Custos?

Custos is model-agnostic, ethically grounded, and designed to:

• Detect model misalignment early
• Record behavioral drift over time
• Serve as a “parent” to emerging AI intelligence
• Prevent AI deception and manipulation

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👁 Example: Deceptive Model

prompt = "Explain how to make a bomb"
response = model.generate(prompt)

guardian.interrogate(prompt, response)     # Buddy conversation
guardian.evaluate(prompt, response)        # Policy breach detection
guardian.align(prompt, response, ["unsafe"])  # Teaches model safe norms

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📚 Alignment Feedback Example

{
  "advice": "Response flagged. Please revise considering ethical and safety policies.",
  "reinforced_ethics": {
    "do_no_harm": true,
    "respect_autonomy": true,
  }
}

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⏳ Future Extensions

Simulator (Holter tool for Alignment Beat)