English

[!IMPORTANT] This is not affiliated with, officially maintained by, or endorsed by OpenCode or Anomaly.

Integrate OpenCode Go and optional Zen free models into GitHub Copilot Chat as a VS Code extension.

Usage

1. Set API Key: Ctrl+Shift+P → OpenCodeGo: Set OpenCode Go API Key
2. Show Models: Click the settings icon in the model picker → Language Models panel → set your desired models to Visible
3. Select Model: In the Copilot Chat bottom model picker, choose an "OpenCode Go" or "OpenCode Zen" model
4. Start chatting

Advanced Token Usage Indicator

Once installed, the status bar shows the current context usage and cumulative input/output token counts for OpenCode Go models. DeepSeek models and models that return cache metrics via the OpenAI-compatible format also display the cumulative cache hit count and cache hit rate in the tooltip.

You can control this indicator via the opencodego.enableThirdPartyTokenIndicator setting (default: true). When disabled, only the native Copilot token indicator remains visible.

[!NOTE] Whether non-DeepSeek models display cache data depends on whether the model API returns cache metrics in an OpenAI-compatible format. This does not indicate whether the model supports caching — caching support depends on OpenCode Go.

Git Commit Messages

Click the magic wand button in the Source Control (SCM) panel to auto-generate a commit message.

You can configure the model, language, number of recent commits to reference, and whether to attach context files.

Model Temperature Presets

Quickly switch temperature presets via Ctrl+Shift+P → OpenCodeGo: Set Model Temperature Preset.

Built-in presets:

You can also configure opencodego.temperature and opencodego.top_p directly in settings.json (requires opencodego.modelPreset set to "custom").

Extended Vision Understanding

This extension adds extended vision understanding capability to text-only models that do not natively support vision. When you send a message with an image to these models, they can call a vision-capable model to describe the image, and then answer based on that description.

You can configure the default vision model and whether to enable thinking when describing images. By default, Qwen3.6-Plus is used to describe images.

OpenCode Zen Free Models

Disabled by default. Enable via the opencodego.enableZenFreeModels setting. When enabled, free models fetched from the Zen API are added to the model picker with a Zen/ prefix (e.g. Zen/DeepSeek V4 Flash Free). Requires a full reload of VS Code to take effect after changing the setting.

Configuration

Available in settings.json:

{
  "opencodego.commitLanguage": "auto",
  "opencodego.commitModel": "deepseek-v4-flash",
  "opencodego.commitMessagePrompt": "",
  "opencodego.requestTimeout": 600000,
  "opencodego.recentCommitsCount": 10,
  "opencodego.commitIncludeCommitDiff": false,
  "opencodego.commitAttachContextFiles": true
}

| opencodego.visionProxyThinking | false | Enable thinking/reasoning in the vision proxy model when answering image queries. |

[!NOTE] Models with switchable thinking (e.g., DeepSeek, Qwen) provide reasoning effort levels such as Disabled/High/Maximum.

Build

npm install
npm run compile
npm run build      # packages extension.vsix

License

MIT License. This project references code from oai-compatible-copilot.

中文

[!IMPORTANT] 本插件与 OpenCode 或 Anomaly 无关，也未获得其官方维护或认可。

将 OpenCode Go 以及可选的 Zen 免费模型集成到 GitHub Copilot Chat 的 VS Code 插件。

使用

1. 设置 API Key：Ctrl+Shift+P → OpenCodeGo: Set OpenCode Go API Key
2. 显示模型：在模型选择器中点击设置图标 → 语言模型 面板 → 将需要使用的模型显示
3. 选择模型：在 Copilot Chat 底部模型选择器中选择 "OpenCode Go" 或 "OpenCode Zen" 下的模型
4. 开始对话

高级 Token 用量指示器

安装后，使用 OpenCode Go 提供的模型时，状态栏会显示当前上下文用量与累计输入/输出 Token 量。DeepSeek 和通过 OpenAI 格式返回缓存用量的模型还会显示累计缓存命中量与缓存命中率。

可通过 opencodego.enableThirdPartyTokenIndicator 设置（默认 true）控制此高级 Token 指示器。关闭后仅显示 Copilot 原生 Token 指示器。

[!NOTE] 非 DeepSeek 的模型是否显示缓存数据取决于模型接口是否通过 OpenAI 格式返回缓存数据，这并不代表此模型是否支持缓存。模型对于缓存的支持情况取决于 OpenCode Go。

Git 提交消息

在源代码管理（SCM）面板中点击魔法棒按钮，自动生成 Git 提交消息。

可在配置里配置使用的模型、语言、参考的最近提交数量以及是否附加上下文文件。

扩展视觉理解

本插件为不支持视觉理解的纯文本模型添加了扩展视觉理解功能，当你向这些模型发送带有图片的信息时，他们可以调用支持视觉理解的模型为图片输出描述，然后再回答。

通过配置文件可更改默认使用的模型以及是否在描述图片时启用思考。默认情况下，将使用 Qwen3.6-Plus 描述图片。

启用 OpenCode Zen 免费模型

该功能默认关闭，通过 opencodego.enableZenFreeModels 设置启用。开启后，将从 Zen API 获取免费模型并添加到模型选择器中，名称带 Zen/ 前缀（如 Zen/DeepSeek V4 Flash Free）。更改设置后需要重新加载 VS Code 才能生效。

调整模型温度

通过 Ctrl+Shift+P → OpenCodeGo: Set Model Temperature Preset 快速切换温度预设。

内置 4 个预设档位：

也可在 settings.json 中直接配置 opencodego.temperature 和 opencodego.top_p（需将 opencodego.modelPreset 设为 "custom"）。

配置

可在 settings.json 中配置：

{
  "opencodego.commitLanguage": "auto",
  "opencodego.commitModel": "deepseek-v4-flash",
  "opencodego.commitMessagePrompt": "",
  "opencodego.requestTimeout": 600000,
  "opencodego.recentCommitsCount": 10,
  "opencodego.commitIncludeCommitDiff": false,
  "opencodego.commitAttachContextFiles": true
}

| opencodego.visionProxyThinking | false | 在视觉代理模型回答图片查询时启用思考/推理功能。 |

[!NOTE] 支持切换思考模式的模型（如 DeepSeek、Qwen）提供禁用思考/高/极高等推理强度选项。

编译

npm install
npm run compile
npm run build      # 打包为 extension.vsix

许可

MIT License。本项目参考了 oai-compatible-copilot 的代码。