mawlaia-guardrail 0.3.1

Runtime safety proxy for LLM applications

guardrail

Runtime safety proxy for AI apps.

guardrail is a drop-in proxy that protects your AI features from prompt injection, jailbreaks, and unsafe outputs — with sub-50ms overhead and no vendor lock-in.

from guardrail import GuardrailProxy
import openai

client = GuardrailProxy(
    openai.OpenAI(api_key="..."),
    policy="guardrail.yaml"
)

# Input is checked before reaching the model
# Output is filtered before reaching your app
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": user_message}]
)

Status

🚧 Early development. Star to follow progress.

What it does

• Input protection — prompt injection, jailbreak, instruction override detection
• Output filtering — PII leakage, regulated content (medical/legal/financial), harmful content, brand safety
• Multi-provider — OpenAI, Anthropic, Google, Mistral, local models
• Policy-as-code — define rules in YAML, update at runtime without redeploy
• Audit log — every flagged call logged with reason code and severity
• Sub-50ms — small classifier models, not LLM-as-judge on the critical path

Roadmap

• Python SDK
• TypeScript SDK
• Prompt injection classifier (open weights)
• Policy YAML spec
• Hosted API (mawlaia.com)
• SOC 2 Type II

License

MIT