Deploy a policy plane in front of your LLM calls in under 15 minutes. Start with the quickstart or browse by topic.
Get a policy plane running against a live LLM endpoint in 15 minutes. Covers proxy setup, your first policy config, and verifying redaction output.
Complete REST API reference. Endpoint listing, authentication, request/response schemas, error codes, and rate limit headers.
Architecture overview: tenant isolation model, policy DSL, redaction modes, audit log schema, and the request lifecycle through the policy plane.
Point any OpenAI-compatible client at your Meibel proxy endpoint. One environment variable change.
import openai
client = openai.OpenAI(
api_key="sk-...",
base_url="https://api.openai.com/v1"
)
import openai
client = openai.OpenAI(
api_key="sk-...",
# Route through Meibel — all policy controls fire automatically
base_url="https://proxy.meibelai.org/v1/openai",
default_headers={"X-Meibel-Tenant": "finance-wealth"}
)