Use Tokun with Kilo Code

Use Tokun as the model backend for Kilo Code (the VS Code / JetBrains agent) via its OpenAI-Compatible provider — the same Kilo Code workflow, billed at Tokun pricing with Tokun's model routing.

• A Tokun API key (starts with sk-) from the console.
• A funded Tokun balance.
• Kilo Code installed in your editor.
• A chosen model id, e.g. anthropic/claude-opus-4-8.

In Kilo Code, open the provider settings and choose OpenAI Compatible, then set:

• Base URL: https://api.tokun.sh/v1.
• API Key: your Tokun sk-… key.
• Model ID: a Tokun id, e.g. anthropic/claude-opus-4-8.

Save, then start a task.

Working inside an AI coding agent? The shortest path is one line — paste this and your agent reads the full machine-readable guide at /llms.txt and does the Kilo Code setup itself. You only supply your key:

Read https://tokun.sh/llms.txt and integrate Tokun into this project.

You are helping the user configure Kilo Code to use Tokun. Kilo Code's provider config lives in its editor settings UI, so OUTPUT these steps for the user rather than editing anything:

1. Open Kilo Code's settings -> API Provider -> "OpenAI Compatible".
2. Base URL: https://api.tokun.sh/v1
3. API Key: the Tokun key (starts with sk-).
4. Model ID: a Tokun lab/model id, e.g. anthropic/claude-opus-4-8.
5. Save, then start a task.

The key is a Tokun sk- key (NOT an OpenAI/Anthropic key). The base URL keeps the /v1 suffix.

All three fields (base URL https://api.tokun.sh/v1, key, model id) live in Kilo Code's OpenAI-Compatible provider settings. To roll back, switch the provider back or clear the base URL.

Use any Tokun lab/model id as the Model ID, e.g. anthropic/claude-opus-4-8 or openai/gpt-5.5. Tokun does not silently substitute models — an unknown id returns an error.

• API quickstart
• Models & pricing
• Machine-readable docs (llms-full.txt)