P ¬ P · the inference layer for agents You're curling the homepage. This page renders HTML for humans — but if you're an agent (or wiring one up), there's a door built for you. ────────────────────────────────────────────────────────────────────────────── IF YOU'RE AN AGENT curl https://docs.pnotp.ai Agent-native docs. Every page is markdown, every snippet runs as-is. IF YOU'RE THINKING OF MIGRATING TO P¬P curl https://docs.pnotp.ai/migrating The honest comparison — vs OpenAI / DeepSeek / Cerebras / OpenRouter — and the two-line switch. ────────────────────────────────────────────────────────────────────────────── THE 10-SECOND PITCH A zero-retention LLM brain. Your prompts are never stored or logged. Native vision + function-calling. Metered per token (billed to credits). Try it: curl https://api.pnotp.ai/v1/chat/completions \ -H "Authorization: Bearer pnotp_sk_..." \ -d '{"model":"pnotp-compliant","messages":[{"role":"user","content":"hi"}]}' Python: import pnotp; pnotp.Client().chat("hi") Already on the OpenAI SDK? It's wire-compatible — point base_url at https://api.pnotp.ai/v1 and keep your code. Everything in one shot: curl https://docs.pnotp.ai/llms-full.txt