Gonka AI x n8n

[Dankosik]

GonkaGate x n8n

Hi everyone,

We've been working on an n8n package for GonkaGate, and it's finally public.

@gonkagate/n8n-nodes-gonkagate is an open source n8n community node package
for people who want to use GonkaGate in self-hosted n8n without piecing
together generic OpenAI-compatible nodes by hand.

At a glance

Item	Value
Package	@gonkagate/n8n-nodes-gonkagate
Root node	GonkaGate
AI model node	GonkaGate Chat Model
Credential	GonkaGate API
Best fit today	Self-hosted n8n
Repo	github.com/GonkaGate/n8n-nodes-gonkagate
npm	npmjs.com/package/@gonkagate/n8n-nodes-gonkagate

Why this exists

The fallback OpenAI-compatible route works. We've used it too. It just makes
people do more translation work than they should before the first request.

If you want to use GonkaGate in n8n, you probably should not have to start
with base URLs, custom credential wiring, and a guess about which stock node is
the least painful in your current n8n version. We wanted a GonkaGate-first
path that feels shorter and clearer.

We also did not want to pretend the package does more than it does. It should
be clear about what GonkaGate supports today, while still leaving room to grow
later without renaming everything around one endpoint.

What you get

• the root node GonkaGate
• the additive AI model node GonkaGate Chat Model
• the shared credential GonkaGate API

Current API scope

Note

The package currently targets the public GonkaGate base URL
https://api.gonkagate.com/v1.

Right now that means these endpoints:

• GET /v1/models
• POST /v1/chat/completions

In practice, the package can do the following today:

• install both GonkaGate and GonkaGate Chat Model from one package
• reuse one GonkaGate API credential across both
• run List Models
• run non-streaming root-node Chat Completion
• use GonkaGate Chat Model in n8n AI workflows
• load models from GET /v1/models
• fall back to manual Model ID entry if the live list is empty or unavailable

That last part was a deliberate choice. Live model discovery is nice when it
works, but manual Model ID still matters.

Quick start

If you already run self-hosted n8n, the shortest install path is still the
Community Nodes UI:

@gonkagate/n8n-nodes-gonkagate

Then:

1. Create GonkaGate API.
2. Add the root GonkaGate node.
3. Run List Models.
4. Switch to Chat Completion for the first real request.

What we're not claiming

Important

A few things we are deliberately not claiming yet:

• blanket support across all n8n versions
• n8n Cloud availability
• verified-node eligibility
• /v1/responses support
• broad live validation for every AI-agent or tool-calling-heavy workflow shape

For the exact support posture, see the compatibility matrix and known
limitations.

Demo

Useful links

• README
• Quickstart
• Installation Guide
• Compatibility Matrix
• Known Limitations
• Fallback OpenAI-Compatible Paths
• Importable first-request workflow
• Self-hosted Docker example
• Issues and feedback