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Documentation

Everything you need to integrate, configure, and operate BladeRun

🛡️

Gateway

Deploy the AI gateway, configure routing, and set up SSL termination

📦

SDK Reference

Python, Node.js, and Java SDK installation, configuration, and API reference

🔒

DLP Engine

Configure data loss prevention rules, custom patterns, and redaction policies

📋

Policy Engine

Write policy-as-code with YAML/JSON, version control, and audit logging

Kill Switch

Emergency shutdown configuration, triggers, and recovery procedures

📊

Integrations

Connect with OpenAI, Anthropic, Bedrock, LangChain, and more

Quick Start

Get BladeRun protecting your AI in under 5 minutes

# Install the BladeRun SDK
pip install bladerun

# Initialize in your application
from bladerun import BladeRun

client = BladeRun(
    api_key="your-api-key",
    environment="production"
)

# Wrap your AI calls
response = client.secure_completion(
    provider="openai",
    model="gpt-4",
    messages=[{"role": "user", "content": prompt}]
)

That's it. Every request is now inspected, logged, and protected by BladeRun policies.

The Portal

A gateway between your AI and the outside world. The diamond blade shape cuts through concentric security layers, with a void center representing filtered, clean data passing through.