opencode-commandcode-provider

Command Code API provider for opencode. Use Claude, GPT, Gemini, DeepSeek, Qwen, Kimi, GLM, MiniMax, Step, and other models through a single API key.

This is a community fork — install directly from GitHub:

Quick Start

1. Install

opencode plugin https://github.com/yoni13/opencode-commandcode-provider

This installs the provider and registers all available models automatically.

2. Connect

Run /connect in opencode, search for Command Code, and enter your API key:

/connect

Multiple keys can be entered as a comma-separated list:

key1,key2,key3

When a key reports insufficient credits, the provider switches to the next key. Key values are never included in status messages or logs.

3. Select a model

Run /models to pick from available models:

/models

Manual Configuration

If you prefer to configure manually, add this to your opencode.json:

{
  "plugin": ["https://github.com/yoni13/opencode-commandcode-provider/server"],
  "provider": {
    "commandcode": {
      "npm": "https://github.com/yoni13/opencode-commandcode-provider",
      "name": "Command Code",
      "env": ["COMMANDCODE_API_KEY"],
      "options": {
        "excludePremiumModels": true
      }
    }
  },
  "model": "commandcode/deepseek-v4-flash"
}

The plugin auto-registers models from models.json at startup. You only need the provider.commandcode block — no need to list individual models.

excludePremiumModels: true removes every model marked as premium from the opencode model picker. It defaults to false.

The plugin checks this fork's latest models.json at startup and falls back to its bundled catalog if the request fails, times out, is invalid, or is older than the bundled catalog. Set autoUpdateModels: false under provider.commandcode.options to disable this check. A scheduled GitHub workflow refreshes the repository catalog daily from the latest Command Code CLI and pricing page.

Environment Variable

Set COMMANDCODE_API_KEY instead of using /connect:

COMMANDCODE_API_KEY=your-key opencode

The environment variable also accepts comma-separated keys:

COMMANDCODE_API_KEY=key1,key2,key3 opencode

Reasoning Effort

Some Command Code models support explicit reasoning effort. When calling the provider through the AI SDK, pass the setting under the commandcode provider options:

import { streamText } from "ai"
import { createCommandCode } from "commandcode-go-opencode-provider"

const commandcode = createCommandCode()

await streamText({
  model: commandcode.languageModel("claude-sonnet-4-6"),
  prompt: "Implement the next task.",
  providerOptions: {
    commandcode: {
      reasoningEffort: "high",
    },
  },
})

The provider sends this as reasoning_effort to Command Code. Supported values are low, medium, high, xhigh, and max, depending on the selected model. The generated models.json records per-model support in reasoning_efforts and exposes them to opencode as model variants, so the opencode variant picker can select the effort when the installed opencode build supports variants.

Vision Inputs

Models that Command Code publishes with image input support are exposed to opencode with attachment: true and modalities.input: ["text", "image"]. Image inputs from the AI SDK are forwarded as Command Code image content, including URL, data URL, base64 string, and Uint8Array file parts.

Available Models

Model ID	Name	Tier	Reasoning	Context
`claude-fable-5`	[Premium] Claude Fable 5	premium	yes	1M
`claude-haiku-4-5-20251001`	[Premium] Claude Haiku 4.5	premium	no	200K
`claude-opus-4-7`	[Premium] Claude Opus 4.7	premium	yes	1M
`claude-opus-4-8`	[Premium] Claude Opus 4.8	premium	yes	1M
`claude-opus-5`	[Premium] Claude Opus 5	premium	yes	1M
`claude-sonnet-4-6`	[Premium] Claude Sonnet 4.6	premium	yes	1M
`claude-sonnet-5`	[Premium] Claude Sonnet 5	premium	yes	1M
`google/gemini-3.1-flash-lite`	[Premium] Gemini 3.1 Flash Lite	premium	yes	1M
`google/gemini-3.5-flash`	[Premium] Gemini 3.5 Flash	premium	yes	1M
`google/gemini-3.5-flash-lite`	[Premium] Gemini 3.5 Flash Lite	premium	yes	1M
`google/gemini-3.6-flash`	[Premium] Gemini 3.6 Flash	premium	yes	1M
`google/gemini-3.7-flash`	[Premium] Gemini 3.7 Flash	premium	yes	1M
`gpt-5.3-codex`	[Premium] GPT-5.3 Codex	premium	yes	400K
`gpt-5.4`	[Premium] GPT-5.4	premium	yes	400K
`gpt-5.4-mini`	[Premium] GPT-5.4 Mini	premium	yes	400K
`gpt-5.5`	[Premium] GPT-5.5	premium	yes	400K
`poolside/laguna-s-2.1-free`	[Free] Laguna S 2.1	open-source	yes	256K
`inclusionai/ling-3.0-flash-free`	[Free] Ling 3.0 Flash	open-source	yes	256K
`minimax/minimax-m2.7-free`	[Free] MiniMax M2.7	open-source	no	197K
`MiniMaxAI/MiniMax-M3-Free`	[Free] MiniMax M3	open-source	yes	1M
`minimax/minimax-m3-free`	[Free] MiniMax M3	open-source	yes	1M
`stealth/ox-alpha`	[Free] Ox Alpha	open-source	yes	1M
`tencent/Hy3`	[Free] Tencent Hy3 (Free)	open-source	yes	262K
`deepseek/deepseek-v4-flash`	DeepSeek V4 Flash (latest)	open-source	yes	1M
`deepseek/deepseek-v4-flash-vision-exp`	DeepSeek V4 Flash Vision (exp)	open-source	yes	1M
`deepseek/deepseek-v4-pro`	DeepSeek V4 Pro (latest)	open-source	yes	1M
`sakana/fugu-ultra`	Fugu Ultra	open-source	yes	1M
`zai-org/GLM-5`	GLM-5	open-source	no	200K
`zai-org/GLM-5.1`	GLM-5.1	open-source	no	200K
`zai-org/GLM-5.2`	GLM-5.2	open-source	yes	1M
`zai-org/GLM-5.2-Fast`	GLM-5.2 Fast	open-source	no	1M
`zai-org/GLM-5.3`	GLM-5.3	open-source	yes	1M
`gpt-5.6-luna`	GPT-5.6 Luna	open-source	yes	1M
`gpt-5.6-sol`	GPT-5.6 Sol	open-source	yes	1M
`gpt-5.6-terra`	GPT-5.6 Terra	open-source	yes	1M
`xai/grok-4.5`	Grok 4.5	open-source	yes	500K
`xai/grok-4.6`	Grok 4.6	open-source	yes	500K
`thinkingmachines/inkling`	Inkling	open-source	yes	256K
`thinkingmachines/inkling-small`	Inkling Small	open-source	yes	1M
`moonshotai/Kimi-K2.5`	Kimi K2.5	open-source	no	256K
`moonshotai/Kimi-K2.6`	Kimi K2.6	open-source	no	256K
`moonshotai/Kimi-K2.7-Code`	Kimi K2.7 Code	open-source	yes	256K
`moonshotai/Kimi-K2.7-Code-Highspeed`	Kimi K2.7 Code HighSpeed	open-source	yes	262K
`moonshotai/Kimi-K3`	Kimi K3	open-source	yes	1M
`xiaomi/mimo-v2.5`	MiMo V2.5	open-source	no	1M
`xiaomi/mimo-v2.5-pro`	MiMo V2.5 Pro	open-source	no	1M
`MiniMaxAI/MiniMax-M2.5`	MiniMax M2.5	open-source	no	200K
`MiniMaxAI/MiniMax-M2.7`	MiniMax M2.7	open-source	no	1M
`MiniMaxAI/MiniMax-M3`	MiniMax M3	open-source	yes	1M
`meta/muse-spark-1.1`	Muse Spark 1.1	open-source	yes	1M
`meta/muse-spark-1.2`	Muse Spark 1.2	open-source	yes	1M
`meta/muse-spark-1.2-contributor`	Muse Spark 1.2 Contributor	open-source	yes	1M
`nvidia/nemotron-3-ultra-550b-a55b`	Nemotron 3 Ultra	open-source	yes	1M
`Qwen/Qwen3.6-Max-Preview`	Qwen 3.6 Max Preview	open-source	yes	1M
`Qwen/Qwen3.6-Plus`	Qwen 3.6 Plus	open-source	yes	1M
`Qwen/Qwen3.7-Flash`	Qwen 3.7 Flash	open-source	yes	1M
`Qwen/Qwen3.7-Max`	Qwen 3.7 Max	open-source	yes	1M
`Qwen/Qwen3.7-Plus`	Qwen 3.7 Plus	open-source	yes	1M
`Qwen/Qwen3.8-27B`	Qwen 3.8 27B	open-source	yes	262K
`Qwen/Qwen3.8-Max`	Qwen 3.8 Max	open-source	yes	1M
`stepfun/Step-3.5-Flash`	Step 3.5 Flash	open-source	yes	1M
`stepfun/Step-3.7-Flash`	Step 3.7 Flash	open-source	yes	256K
`tencent/hy3-paid`	Tencent Hy3	open-source	yes	262K

Full model list is maintained in models.json. See Sync Models to refresh it from the latest Command Code CLI release.

Development

git clone https://github.com/yoni13/opencode-commandcode-provider.git
cd commandcode-go-opencode-provider
bun install

For local testing, create opencode.local.json (gitignored) with file:// paths:

{
  "plugin": ["file:///path/to/commandcode-go-opencode-provider/server"],
  "provider": {
    "commandcode": {
      "npm": "file:///path/to/commandcode-go-opencode-provider",
      "name": "Command Code (local)",
      "env": ["COMMANDCODE_API_KEY"]
    }
  }
}

Run opencode --config opencode.local.json to test with your local build.

Sync Models

Refresh the model catalog whenever Command Code publishes new models:

bun install
bun run sync
bun run generate-readme
bun run typecheck

bun run sync downloads the latest command-code package from npm, extracts its model catalog and CLI pricing table, fetches public pricing from https://commandcode.ai/models, and writes models.json. Models without published pricing are still included with a $0/$0 placeholder so the catalog does not silently drop newly available models.

bun run generate-readme rebuilds the Available Models table from models.json.

To also write the refreshed model map into your local global config, run:

bun run sync:global

License

MIT

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
scripts		scripts
src		src
tests		tests
.gitignore		.gitignore
20260725_agentsmd-instructions-for-mnt6f99f95d-0b93-4a42-84ea-c848405.md		20260725_agentsmd-instructions-for-mnt6f99f95d-0b93-4a42-84ea-c848405.md
LICENSE		LICENSE
README.md		README.md
bun.lock		bun.lock
index.ts		index.ts
models.json		models.json
opencode.json		opencode.json
package.json		package.json
plugin.ts		plugin.ts
tsconfig.json		tsconfig.json

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opencode-commandcode-provider

Quick Start

1. Install

2. Connect

3. Select a model

Manual Configuration

Environment Variable

Reasoning Effort

Vision Inputs

Available Models

Development

Sync Models

License

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opencode-commandcode-provider

Quick Start

1. Install

2. Connect

3. Select a model

Manual Configuration

Environment Variable

Reasoning Effort

Vision Inputs

Available Models

Development

Sync Models

License

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