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Eye of Horus

opencode-analyze-image

A cybernetic eye for text-only models: an external vision model that lets them see images.

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"The reason is that this, most of all the senses, makes us know and brings to light many differences between things."

— Aristotle, Metaphysics, Book I, Part 1

This is an independent community plugin for OpenCode and is not built by or affiliated with the OpenCode team.

In Action

opencode-analyze-image running in the OpenCode terminal

Image analysis running inside an OpenCode terminal session.

Installation

npm package (recommended)

Install the published npm package globally:

opencode plugin --global opencode-analyze-image@0.1.3

This installs both the server and TUI targets. Restart OpenCode after installation.

Tip

If you previously installed the plugin manually, remove the old analyze_image.js and analyze_image_tui.js files and the manual TUI entry before using the npm installation. Do not load both installation methods at the same time.

To uninstall the npm installation, remove opencode-analyze-image@0.1.3 from both ~/.config/opencode/opencode.json and ~/.config/opencode/tui.json.

Manual installation (prebuilt JavaScript)

Download analyze_image.js from the matching GitHub Release:

mkdir -p ~/.config/opencode/plugins
curl -fL https://github.com/cipherTing/opencode-analyze-image/releases/download/v0.1.3/analyze_image.js \
  -o ~/.config/opencode/plugins/analyze_image.js

OpenCode automatically loads JavaScript and TypeScript files from ~/.config/opencode/plugins/ at startup. Project-level local plugins use .opencode/plugins/ instead.

When OPENCODE_CONFIG_DIR is set, use that directory instead of ~/.config/opencode.

After installation, restart OpenCode and use it normally.

The terminal status is optional. To show · analyze image v<version> below the terminal input, also download the TUI file and add its path to ~/.config/opencode/tui.json:

mkdir -p ~/.config/opencode/tui
curl -fL https://github.com/cipherTing/opencode-analyze-image/releases/download/v0.1.3/analyze_image_tui.js \
  -o ~/.config/opencode/tui/analyze_image_tui.js
{
  "plugin": [
    "./tui/analyze_image_tui.js"
  ]
}

To uninstall the manual installation:

rm -f ~/.config/opencode/plugins/analyze_image.js
rm -f ~/.config/opencode/tui/analyze_image_tui.js

Also remove ./tui/analyze_image_tui.js from ~/.config/opencode/tui.json.

Configuration

Create the configuration file at:

~/.config/opencode/analyze_image/config.json

When OPENCODE_CONFIG_DIR is set, use $OPENCODE_CONFIG_DIR/analyze_image/config.json instead.

Minimal configuration

{
  "trigger_models": [
    "deepseek/deepseek-v4-flash"
  ],
  "api_format": "openai_chat",
  "base_url": "https://api.openai.com/v1",
  "model": "your-vision-model",
  "api_key": "your-api-key",
  "reasoning": {
    "effort": "medium",
    "adaptive": true
  }
}

Required fields

Field Description
trigger_models Primary models that can use the plugin. Use the full provider/model identifier.
api_format openai_chat, openai_responses, or anthropic_messages.
base_url Auxiliary vision model API endpoint.
model Auxiliary vision model ID.
api_key Vision model API key, or an {env:NAME} / {file:PATH} reference.

Optional fields

Field Default Description
reasoning.effort medium Allowed values: none, low, medium, high, xhigh, or max.
reasoning.adaptive true Anthropic Messages only: true uses adaptive thinking; false uses budget-based thinking.
timeout_seconds 120 Request timeout.
max_retries 2 Number of request retries.
max_output_tokens 4096 Maximum visible output length.
image.max_images 10 Maximum number of images in one analysis request.

API keys

The key may be written directly, read from an environment variable, or read from a file:

"api_key": "your-api-key"
"api_key": "{env:ANALYZE_IMAGE_API_KEY}"
"api_key": "{file:~/.secrets/analyze-image-key}"

Relative file paths are resolved relative to config.json.

trigger_models uses exact matching. Keep the complete identifier when a model ID contains additional slashes.

Image size and batch limits can use the defaults in config.example.json. Change the image section only when needed.

Full Configuration

See config.example.json for the complete field list.

License

MIT

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OpenCode plugin that gives text-only models image analysis through a configurable vision model.

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