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Final shape after considering ecosystem conventions: inputTokens — inclusive total (matches AI SDK / OpenAI / LangChain) outputTokens — inclusive total (includes reasoning) nonCachedInputTokens — breakdown: fresh prompt cacheReadInputTokens — breakdown: cache hit cacheWriteInputTokens — breakdown: cache write reasoningTokens — subset of outputTokens Invariant: nonCached + cacheRead + cacheWrite = inputTokens reasoningTokens <= outputTokens Why this shape: - `inputTokens` keeps its AI-SDK / OpenAI semantics, so a reader from any major ecosystem sees the number they expect. - The non-overlapping breakdown fields are populated alongside the inclusive totals — consumers read whichever they need without subtracting. This eliminates the underflow bug class (opencode#26620) structurally without diverging on naming. - Aligns with the AI SDK v3 spec proposal (vercel/ai#9921), which adds exactly this kind of non-overlapping breakdown to address the active ecosystem bugs around cache token double-counting and underflow (pydantic-ai#4364, langfuse#12306/#11979, vercel/ai#8349, langchain#32818, langchainjs#10249). Mappers: - OpenAI Chat / Responses / Bedrock: provider reports inclusive totals natively; mapper derives `nonCachedInputTokens` via `ProviderShared.subtractTokens`. - Gemini: `promptTokenCount` is inclusive; `candidatesTokenCount` is *exclusive* of `thoughtsTokenCount`, so mapper sums those to produce the inclusive `outputTokens`. Only computes the total when the visible component is reported (avoids fabricating an inclusive number from a partial breakdown). - Anthropic: `input_tokens` is *non-cached* natively; mapper sums it with cache reads/writes to produce the inclusive `inputTokens`. `output_tokens` is inclusive (Anthropic doesn't break thinking out, so `reasoningTokens` stays undefined). Added a `visibleOutputTokens` getter (clamped `outputTokens - reasoningTokens`) as the one safe escape hatch for consumers wanting the non-reasoning view. Added `ProviderShared.sumTokens` to derive an inclusive total from a non-overlapping breakdown, returning `undefined` when every input is undefined (so we don't fabricate a 0).
The open source AI coding agent.
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Installation
# YOLO
curl -fsSL https://opencode.ai/install | bash
# Package managers
npm i -g opencode-ai@latest # or bun/pnpm/yarn
scoop install opencode # Windows
choco install opencode # Windows
brew install anomalyco/tap/opencode # macOS and Linux (recommended, always up to date)
brew install opencode # macOS and Linux (official brew formula, updated less)
sudo pacman -S opencode # Arch Linux (Stable)
paru -S opencode-bin # Arch Linux (Latest from AUR)
mise use -g opencode # Any OS
nix run nixpkgs#opencode # or github:anomalyco/opencode for latest dev branch
Tip
Remove versions older than 0.1.x before installing.
Desktop App (BETA)
OpenCode is also available as a desktop application. Download directly from the releases page or opencode.ai/download.
| Platform | Download |
|---|---|
| macOS (Apple Silicon) | opencode-desktop-mac-arm64.dmg |
| macOS (Intel) | opencode-desktop-mac-x64.dmg |
| Windows | opencode-desktop-windows-x64.exe |
| Linux | .deb, .rpm, or .AppImage |
# macOS (Homebrew)
brew install --cask opencode-desktop
# Windows (Scoop)
scoop bucket add extras; scoop install extras/opencode-desktop
Installation Directory
The install script respects the following priority order for the installation path:
$OPENCODE_INSTALL_DIR- Custom installation directory$XDG_BIN_DIR- XDG Base Directory Specification compliant path$HOME/bin- Standard user binary directory (if it exists or can be created)$HOME/.opencode/bin- Default fallback
# Examples
OPENCODE_INSTALL_DIR=/usr/local/bin curl -fsSL https://opencode.ai/install | bash
XDG_BIN_DIR=$HOME/.local/bin curl -fsSL https://opencode.ai/install | bash
Agents
OpenCode includes two built-in agents you can switch between with the Tab key.
- build - Default, full-access agent for development work
- plan - Read-only agent for analysis and code exploration
- Denies file edits by default
- Asks permission before running bash commands
- Ideal for exploring unfamiliar codebases or planning changes
Also included is a general subagent for complex searches and multistep tasks.
This is used internally and can be invoked using @general in messages.
Learn more about agents.
Documentation
For more info on how to configure OpenCode, head over to our docs.
Contributing
If you're interested in contributing to OpenCode, please read our contributing docs before submitting a pull request.
Building on OpenCode
If you are working on a project that's related to OpenCode and is using "opencode" as part of its name, for example "opencode-dashboard" or "opencode-mobile", please add a note to your README to clarify that it is not built by the OpenCode team and is not affiliated with us in any way.
FAQ
How is this different from Claude Code?
It's very similar to Claude Code in terms of capability. Here are the key differences:
- 100% open source
- Not coupled to any provider. Although we recommend the models we provide through OpenCode Zen, OpenCode can be used with Claude, OpenAI, Google, or even local models. As models evolve, the gaps between them will close and pricing will drop, so being provider-agnostic is important.
- Built-in opt-in LSP support
- A focus on TUI. OpenCode is built by neovim users and the creators of terminal.shop; we are going to push the limits of what's possible in the terminal.
- A client/server architecture. This, for example, can allow OpenCode to run on your computer while you drive it remotely from a mobile app, meaning that the TUI frontend is just one of the possible clients.