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Readme

ChanceVision CLI

CLI client for the Chance Vision platform. Analyze images with state-of-the-art vision AI, instantly.

Install

# npm
npm install -g @chancevision/cli

# pnpm
pnpm add -g @chancevision/cli

# Run without installing
npx @chancevision/cli see --help

Quick Start

# Set your API key
export CHANCEVISION_API_KEY="sk-..."

# Analyze an image
chancevision see -i https://example.com/photo.png

# Stream the response in real time
chancevision see -s -i https://example.com/photo.png

Authentication

Pass your API key one of two ways:

# Option 1: Flag (takes priority)
chancevision see -k "sk-..." -i https://example.com/img.png

# Option 2: Environment variable (fallback)
export CHANCEVISION_API_KEY="sk-..."
chancevision see -i https://example.com/img.png

Usage

chancevision see -i <image_url> [options]

Sends the prompt "Let's see this" with the image to the model (chance/chance-vision-1.5).

Options

Option	Default	Description
`-i, --image <url>`	(required)	Image URL to analyze
`-k, --api-key <key>`	—	API key (or use `CHANCEVISION_API_KEY` env var)
`-s, --stream`	`false`	Stream the response as SSE chunks
`--output-format <format>`	—	Output format hint (e.g. `ui_component`)
`-v, --verbose`	`false`	Show raw chunks and debug info on stderr

Examples

Basic image analysis

chancevision see -k "sk-..." -i https://images.chance.vision/image/revisit.png

Streaming

chancevision see -s -i https://images.chance.vision/image/revisit.png

Verbose streaming

chancevision see -s -v -i https://example.com/img.png

Output format

chancevision see --output-format ui_component -i https://example.com/screenshot.png

Build from Source

git clone https://github.com/anomalyco/chancevision-cli
cd chancevision-cli

pnpm install

# Run tests
pnpm test

# Build
pnpm build

# Link globally for development
pnpm link --global

Publish

# Bump version
npm version patch  # or minor / major

# Publish to npm (builds + typechecks via prepublishOnly hook)
npm publish

API

This CLI is powered by the Chance Vision API, a state‑of‑the‑art visual intelligence platform with streaming support and UI-component output.

POST https://openapi.chance.vision/v1/chat/completions

License

MIT