Coding agent setup

Use DeepSeek with Cline-style coding agents

Coding agents can burn tokens quickly. gogogoapi helps teams test DeepSeek with prepaid credits, a backend key, and visible request settlement.

Agent provider values

Use these values where your coding-agent tool accepts an OpenAI-compatible provider or custom base URL.

Provider type: OpenAI-compatible
Base URL: https://www.gogogoapi.com/api/v1
API key: $GOGOGOAPI_KEY
Chat path: /chat/deepseek
Model: deepseek-v4-flash

Budget-first testing

Start coding-agent tests with small output budgets before letting the agent run longer edit loops.

Visible usage history

Each settled model call appears in balance history so agent runs are easier to audit.

China model route

DeepSeek is live now, with other China model providers tracked for future route expansion.

Decision guide

Agent setup guardrails

Use this snapshot to decide whether the route matches your first production or smoke-test use case.

First run
Short prompt

Ask for one small code explanation before a large workspace task.

Budget
Low max tokens

Increase only after route, auth, and ledger behavior are confirmed.

Key safety
Server-side or local secret

Do not commit the gogogoapi key to a repo.

FAQ

Questions before you test

Short answers for the questions developers usually ask before creating the first API key.

Is this only for Cline?

No. The same pattern applies to coding-agent tools that let you configure an OpenAI-compatible provider.

Why use prepaid credits for agents?

Agent loops can make many calls. Prepaid credits create a hard spending boundary while you test behavior.

Which model should a coding agent start with?

Start with deepseek-v4-flash for setup and low-cost loops, then test premium routes for harder reasoning tasks.

Ready to build

Sign in, buy credits, create an API key.

Use the dashboard to fund USD credits with USDT or USDC, create a backend key, and send your first China model API request.

Open dashboard