Cline

Cline has a CLI and a VS Code extension. Both have an "OpenAI Compatible" provider that uses Chat Completions. Set that provider to the exchange, and Cline sends its requests there.

The CLI verified label applies to the Cline CLI. It does not apply to the VS Code extension.

Start with the Liquid CLI

The Liquid CLI can start Cline with the exchange as its provider. Cline keeps its settings in a file, so set it up one time with the steps below. liquid connect cline prints the same setup with your model filled in. Then start Cline with liquid cline.

curl -fsSL https://inference.ai.exchange/cli/install.sh | bash
liquid login
liquid connect cline
liquid cline

Before you start

• A workspace with a balance and a spend key. See API keys.
• Cline installed from the VS Code marketplace.

1. Choose the OpenAI Compatible provider

Open the settings panel of Cline and set the API provider to OpenAI Compatible.

2. Set the base URL and the key

Set Base URL to:

https://router.inference.ai.exchange/v1

The base URL ends in /v1, because Cline adds /chat/completions to it. Paste your key into API Key:

sk-liquid-...

3. Pick the model

Cline reads GET /v1/models and shows the names in its Model ID list. The order is liquid.auto, the other router models, your presets, then the models that support tools. Pick a name, for example:

liquid.auto

You can also type any other name on the book as a custom model ID. To get the current names, see the Market page. See Market data.

4. Set the editor headers

Add these custom headers to the OpenAI Compatible provider:

X-Title

Cline

x-liquid-cap-usd

1.00

X-Title identifies Cline on the receipt. The cap applies to each request.

CLI procedure

Use Node 22 or newer and jq.

1. Install the CLI

npm install -g cline
npm rebuild -g cline

2. Configure the CLI

Replace the key placeholder before you run this command:

export LIQUID_API_KEY=sk-liquid-...
set -e
umask 077
cline_settings="$HOME/.cline/data/settings/providers.json"
cline_saved=$(mktemp)
trap 'rm -f "$cline_saved" "$cline_settings.new"' EXIT
if [ -f "$cline_settings" ]; then
  jq '.' "$cline_settings" > "$cline_saved"
else
  printf '{}' > "$cline_saved"
fi
cline auth --provider openai-compatible --apikey "$LIQUID_API_KEY" --modelid 'liquid.auto' --baseurl 'https://router.inference.ai.exchange/v1'
jq --slurpfile saved "$cline_saved" '$saved[0] * . | .providers["openai-compatible"].settings |= (.maxTokens = 16384 | .headers = ((.headers // {}) | with_entries(select((.key | ascii_downcase) != "x-title" and (.key | ascii_downcase) != "x-liquid-cap-usd")) + {"X-Title": "Cline", "x-liquid-cap-usd": "1.00"}))' "$cline_settings" > "$cline_settings.new" && mv "$cline_settings.new" "$cline_settings"

The script uses cline auth, then merges the provider settings.

• It keeps other providers, preferences and custom headers.
• It sets the exchange URL, the key, the model, the cap header and X-Title: Cline.
• It stores maxTokens: 16384. Release 3.0.69 does not send this limit in its API requests. The exchange applies its default output limit when the request has no limit.

3. Start the CLI

cline --provider openai-compatible --model 'liquid.auto'

Notes

• The exchange sets a cap on each request. It is in the x-liquid-cap-usd header. To limit total spend, set a spending limit on the key. See API keys.
• Cline writes full files, so use a model with a large output limit. If the offers allow less output than Cline asks for, the exchange lowers the request to their limit, and a long answer stops there. See Errors.

Troubleshooting

Next steps

• Cursor: the editor, with its own model settings.
• Roo Code: a VS Code agent with a model for each mode.
• API keys: scopes and spending limits.