hexarch-guardrails 0.1.0

Lightweight policy-driven API protection and guardrails library

Hexarch Guardrails Python SDK

Lightweight policy-driven API protection for students, solo developers, and hackathons.

Installation

pip install hexarch-guardrails

Quick Start

1. Create a policy file (hexarch.yaml)

policies:
  - id: "api_budget"
    description: "Protect against overspending"
    rules:
      - resource: "openai"
        monthly_budget: 10
        action: "warn_at_80%"

  - id: "rate_limit"
    description: "Prevent API abuse"
    rules:
      - resource: "*"
        requests_per_minute: 100
        action: "block"

  - id: "safe_delete"
    description: "Require confirmation for destructive ops"
    rules:
      - operation: "delete"
        action: "require_confirmation"

2. Use in your code

from hexarch_guardrails import Guardian

# Initialize (auto-discovers hexarch.yaml)
guardian = Guardian()

# Protect API calls
@guardian.check("api_budget")
def call_openai(prompt):
    import openai
    return openai.ChatCompletion.create(
        model="gpt-4",
        messages=[{"role": "user", "content": prompt}]
    )

# Use it
response = call_openai("Hello AI!")

Features

• ✅ Zero-config - Auto-discovers hexarch.yaml
• ✅ Decorator-based - Drop in @guardian.check(policy_id)
• ✅ Policy-driven - YAML-based rules, no code changes
• ✅ Local-first - Works offline or with local OPA
• ✅ Pluggable - Works with any API/SDK

Examples

Budget Protection (OpenAI)

@guardian.check("api_budget")
def expensive_operation():
    # This call is protected by budget limits
    return openai.ChatCompletion.create(model="gpt-4", ...)

Rate Limiting

@guardian.check("rate_limit")
def send_discord_message(msg):
    return client.send(msg)

Safe File Operations

@guardian.check("safe_delete")
def delete_file(path):
    os.remove(path)

Documentation

• Policy Authoring Guide
• API Reference
• Examples

License

MIT © Noir Stack LLC

See LICENSE for full details.

MIT