Kilo Code on Mingles Router

Run Kilo Code on Mingles Router

Point the Kilo Code extension at Mingles Router with the built-in “OpenAI Compatible” provider — base URL, key, model id, done.

Pick your model and paste your key — every command and value on this page updates live.

Endpoint: https://router.mingles.ai/v1 · key stays in your browser · no key entered? commands show <your-key>.

Install + configure

1. Install the Kilo Code extension

From the VS Code Extensions panel search Kilo Code and install it, or run:

shell
code --install-extension kilocode.Kilo-Code

2. Set the API Provider to “OpenAI Compatible”

Open the Kilo Code panel → settings (gear) → API ProviderOpenAI Compatible.

3. Fill Base URL, API Key, Model ID

Use the values in the table below. When the Base URL is valid, Kilo auto-fetches the model list from /v1/models — pick {{model}} or type it.

4. Start coding

Open the chat, choose a mode (Code / Architect / Ask) and go.

Exact values

API Provider OpenAI Compatible
Base URL https://router.mingles.ai/v1
API Key <your-key>
Model ID moonshotai/Kimi-K2.6

Switch model

Change the Model ID field to swap models on the same endpoint — no new key. Kilo Code is a fork of Cline, so Cline’s OpenAI-Compatible settings are identical.

Before you file a bug: read the limits

Reasoning models spend the output budget on internal thinking, output is capped at 8192 tokens, there is no KV cache, and there are no built-in web tools. Most “it broke on Mingles Router” reports are one of these. See Model limits & behavior →

Frequently asked

Which provider do I choose? +

“OpenAI Compatible”. Do not pick “OpenAI” — that one ignores a custom base URL.

It says “Model Not Found”. +

Make sure the Model ID is exactly moonshotai/Kimi-K2.6 (case-sensitive) and the Base URL ends in /v1. Kilo fetches the model list from the endpoint once the URL is valid.

Does this work in JetBrains and Cline too? +

Yes. The Kilo Code JetBrains plugin and Cline use the same “OpenAI Compatible” provider with the same three fields.