Use CoralBricks with Cline

Run Cline's agent on CoralBricks open-model inference — GLM and Kimi with up to 1M context. Three fields, no plan gates.

Cline is the most-installed open-source AI coding agent for VS Code (and VS Code forks like Cursor), with first-class support for OpenAI-compatible providers. CoralBricks plugs in with three fields — plan mode, act mode, and tool calling all route through the Coral gateway.

1. Get an API key

Create a key from your API keys page (format ak_...).

2. Configure the provider

Open Cline → gear icon (Settings) → API Configuration:

API Provider → OpenAI Compatible
Base URL → https://inference.coralbricks.ai/v1
API Key → your ak_... key
Model ID → glm-5.2-fp4 (or any slug from the table below — IDs are case-sensitive)

Optional but recommended: in the custom model configuration, set the context window size to match the model (1,048,576 for GLM 5.2 and Kimi K3) so Cline's context management uses the full window.

Available models

Model	Model ID	Context	Input $/M	Output $/M
GLM 5.2	`glm-5.2-fp4`	1M	$1.40	$4.40
Kimi K3	`kimi-k3`	1M	$3.00	$15.00
Kimi K2.6	`kimi-k2.6`	256K	$0.76	$4.00
GPT-OSS 120B	`gpt-oss-120b`	128K	$0.15	$0.60

Cached input tokens are always free — and Cline's agent loop re-sends its context on every turn, which is exactly where cached-input pricing matters.

Notes

Everything routes through Coral — unlike Cursor, Cline has no model backend of its own: plan mode, act mode, tool calls, and diffs all run on the provider you configure, with no paid tier requirement.
Tool calling works out of the box — the gateway emits OpenAI-exact streaming tool calls; Cline's file edits, terminal commands, and browser actions run unmodified.
Long context is the point — GLM 5.2 and Kimi K3 take up to 1M tokens, so large-repo context fits without aggressive truncation.
The same key works in OpenCode, Cursor, Continue, and anything else that speaks OpenAI-compatible providers. See the API reference for the full surface.