[Feature]: docs example for PZERO on OpenAI Compatible provider

Feature Request

Add a named PZERO example to the OpenAI Compatible provider docs (https://docs.langflow.org/bundles-openai-compatible), same table shape as OpenRouter / Together / Groq.

Langflow already discovers models from GET /v1/models. PZERO's catalog on that route is public (no key). Inference still needs a funded pzero_ key.

Settings → Model Providers → OpenAI Compatible:

Field	Value
Base URL (OPENAI_COMPATIBLE_BASE_URL)	https://api.pzero.studio/v1
API Key (OPENAI_COMPATIBLE_API_KEY)	pzero_YOUR_KEY (required for chat; discovery works without it)

Then Save. Enable discovered ids under Language Models (chat). Do not treat those ids as embeddings unless you have verified PZERO embeddings separately.

Get a key: https://pzero.studio/agents (sign-in free; min top-up 1 USDC on Base; no starter credits). Default landing model: deepseek-v4-flash.

Public catalog:

curl -sS https://api.pzero.studio/v1/models

I am not asking for a first-party PZERO bundle. The OpenAI Compatible provider is the existing seam.

Motivation

Users who want prepaid, privacy-first inference in a Langflow agent currently have to guess the host. OpenRouter is already named in the docs. A PZERO row would make the same path obvious: paste URL, paste key, pick a discovered model, run.

This is related to the OpenAI Compatible provider (https://docs.langflow.org/bundles-openai-compatible), not a new core component.

Every AI Credit is at least 20% off $1 list. Usage is paid. Do not start implementation on my behalf until the board says Ready; the settings are for users today.

Your Contribution

I can supply copy and the live catalog curl. I cannot open a PR from this account (no public fork).