DeepSeek OpenCode Setup: /connect, Version Gate, Flash
📑 Table of Contents
Introduction
Search DeepSeek OpenCode setup, and the blockers are often not the key — old OpenCode builds, wrong provider, or treating OpenCode like DeepSeek Harness / Codex with the same config.
Short path: upgrade OpenCode to ≥ v1.18.30, launch it, run /connect → pick deepseek → paste your API key → choose DeepSeek-V4-Flash per official docs. This site is an independent community; steps follow official Integrate with OpenCode. Models and peak pricing: pricing page.

I. OpenCode Is Not Harness / Codex / Copilot
| You want | Use | On this site |
|---|---|---|
| Open-source coding assistant (terminal / web) with DeepSeek in the official provider list | OpenCode | This article |
| OpenAI Codex CLI / desktop / VS Code extension | Codex + Responses API | DeepSeek Codex setup |
| Stay in GitHub Copilot Chat or Copilot CLI | Copilot extension / BYOK | DeepSeek GitHub Copilot setup |
| DeepSeek’s own agent runtime layer | Harness | Harness getting started / v0.2.1-alpha.2 |
Paths can coexist, but do not copy configs across clients: OpenCode uses /connect and its own provider settings; Codex edits ~/.codex; Copilot CLI needs the anthropic provider type. Keys come from the DeepSeek Platform and bill DeepSeek API balance — free web chat is unrelated. Overview: DeepSeek API.
II. Migration: Already on OpenCode, Switch to DeepSeek
Official flow: upgrade first, then connect the provider:
- Run
opencode upgradeand confirm ≥ v1.18.30 (older builds hit compatibility issues; trustopencode --versionon your machine). - Run
opencodeto launch. - In the input box, type
/connect, search for and select providerdeepseek. - Paste your DeepSeek API Key (usually
sk-prefix). - Per official docs, pick DeepSeek-V4-Flash.
Flash fits daily coding and high-frequency small edits; switch to Pro in the model list for hard reasoning or long refactors when OpenCode exposes it. Thinking effort vs billing: DeepSeek thinking mode.
III. Fresh Install: Download Page + Same /connect Flow
- Install or upgrade from the OpenCode download page; still aim for ≥ v1.18.30.
cdinto your project and runopencode./connect→deepseek→ Key → DeepSeek-V4-Flash.
Right after install, validate with a small compilable change: streaming replies and tool calls work before you trust heavy agent jobs. If you hit rate limits, see DeepSeek API 429.

IV. Optional: Pin Provider in opencode.json
For most people /connect is enough. To hard-code DeepSeek in repo or machine config (CI, multi-machine sync), use OpenCode’s provider section with an OpenAI-compatible package pointing at https://api.deepseek.com and declare model IDs. Notes:
Provider ID in
/connectmust match the ID in config (usuallydeepseek).Chat Completions compatibility often uses
@ai-sdk/openai-compatible; if a model needs the Responses path, swap npm packages per OpenCode docs — do not mix blindly.Store the key in env (e.g.
DEEPSEEK_API_KEY); never commitsk-keys to Git.
Field names follow current OpenCode Providers; DeepSeek facts stay on Integrate with OpenCode.
FAQ
Why does official docs default to Flash instead of Pro?
In coding-assistant workloads, Flash (including current deepseek-flash / V4.1 Flash capability) balances latency and cost; the integration page currently says DeepSeek-V4-Flash. Reserve Pro for harder reasoning — see What is DeepSeek V4 Pro.
What if old “custom base URL proxy” tutorials conflict?
Start with official /connect provider flow. Only fall back to compatible endpoints or third-party relays when OpenCode is too old or lacks built-in DeepSeek — and accept protocol differences yourself.
Can one key serve Codex / Copilot too?
Yes — same DeepSeek account balance. Watch concurrency and billing when several heavy agent clients run together; peak windows: DeepSeek API peak hours.
Summary
Shortest DeepSeek OpenCode setup: version ≥ v1.18.30 → opencode → /connect → deepseek → Key → DeepSeek-V4-Flash. Pick the client first, then config; for Codex / Copilot / Harness, use their guides — do not paste one env everywhere.
Further reading
DeepSeek V4 Pro Team
DeepSeek V4 Pro technical team
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