mint-ai 0.0.4

Minimalist AI translation CLI powered by LLMs

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🌿 Mint

Minimalist AI Translation CLI — Simple. Fast. Intuitive.

Mint is a single-binary, LLM-powered translation CLI. Set two environment variables and translate anything from the command line — files, piped output, or inline text. Built-in language detection, grammar correction, streaming output, and multi-language rotation.

export MINT_PROVIDER=google-genai
export MINT_API_KEY=your_key

mint -t ja "Good morning"         # おはようございます
echo "早安" | mint -t en          # Good morning
cat document.txt | mint -t fr     # translate a whole file

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✨ Why Mint?

• Zero-config — Single binary; API keys via env vars, no config file pollution
• Multi-provider — Google Gemini, OpenAI, Anthropic, or local Ollama / LM Studio
• Smart detection — Auto-detects language on every call; language-neutral content (numbers, symbols) passes through unchanged
• Smart correction — Same-language input? Auto-corrects grammar & spelling instead of translating
• Streaming — Output streams in real-time, no waiting for long translations
• Composable — Pipe-friendly stdin/stdout; pairs seamlessly with grep, sed, xargs, and friends

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📋 Installation

Homebrew (macOS / Linux)

brew install min0625/tap/mint-ai

pipx

pipx install mint-ai

npm

npm install -g mint-ai

Automated install

macOS / Linux

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/min0625/mint/main/script/install.sh)"

Auto-detects OS and architecture (Linux/macOS, x86_64/arm64), installs to ~/.local/bin. Override with MINT_INSTALL_DIR or pin a version with MINT_VERSION=v1.0.0.

Windows (PowerShell)

irm https://raw.githubusercontent.com/min0625/mint/main/script/install.ps1 | iex

Installs to $HOME\.local\bin. Override with $env:MINT_INSTALL_DIR or pin a version with $env:MINT_VERSION = 'v1.0.0'.

go install

go install github.com/min0625/mint/cmd/mint@latest

Requires Go 1.26+. Binary lands in $GOPATH/bin (usually ~/go/bin).

Manual download

Pre-built binaries are available at GitHub Releases

mint --version

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🚀 Quick Start

1. Set your provider

# Google Gemini (free tier available — https://aistudio.google.com/apikey)
export MINT_PROVIDER=google-genai
export MINT_API_KEY=your_gemini_api_key

# OpenAI
export MINT_PROVIDER=openai
export MINT_API_KEY=sk-...

# Anthropic
export MINT_PROVIDER=anthropic
export MINT_API_KEY=sk-ant-...

# Ollama (no API key needed)
export MINT_PROVIDER=openai
export MINT_BASE_URL=http://localhost:11434
export MINT_MODEL_NAME=qwen2.5:7b  # use any model loaded in Ollama

# LM Studio (no API key needed)
export MINT_PROVIDER=openai
export MINT_BASE_URL=http://localhost:1234
export MINT_MODEL_NAME=lmstudio-community/Qwen2.5-7B-Instruct-GGUF  # use any model loaded in LM Studio

2. Translate

mint --target ja "Good morning"
mint -t zh-TW "Good morning"

echo "The quick brown fox" | mint -t fr
cat document.txt | mint -t zh-TW

Use --verbose / -v to print diagnostic info (detected language, provider, model) to stderr:

mint -t ja -v "Good morning"
# [mint] provider=google-genai model=gemini-3.1-flash-lite detected=en target=ja
# おはようございます

3. Smart language detection

Translation with auto-detection:

export MINT_TARGET_LANG=en

mint "早安"   # Detects Chinese → Good morning

Grammar & spelling correction — when input language matches the target, Mint corrects instead of translates:

export MINT_TARGET_LANG=en

mint "Good mooorning"          # Detects English → Good morning
mint "She don't know nothing"  # Detects English → She doesn't know anything
mint "i luv coding"            # Detects English → I love coding

Language rotation — translates to the next language in the list, wrapping around:

# Two languages
export MINT_TARGET_LANG=en,zh-TW
mint "Hello"   # en → zh-TW: 你好
mint "你好"    # zh-TW → en: Hello

# Three languages
export MINT_TARGET_LANG=en,zh-TW,ja
mint "Hello"       # en → zh-TW: 你好
mint "你好"        # zh-TW → ja: こんにちは
mint "こんにちは"   # ja → en: Hello

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🔑 Environment Variables

Variable	Description	Default
MINT_PROVIDER	google-genai | openai | anthropic	— (required)
MINT_API_KEY	API key; required when using the default endpoint; optional when MINT_BASE_URL is set (proxy handles auth)	—
MINT_BASE_URL	Custom API base URL (domain only; each provider appends its own path); use with openai to target Ollama (http://localhost:11434), LM Studio (http://localhost:1234), or any other OpenAI-compatible endpoint	Provider default
MINT_MODEL_NAME	Model to use	gemini-3.1-flash-lite / gpt-4o-mini / claude-haiku-4-5
MINT_TARGET_LANG	Target language(s), e.g. en or en,zh-TW,ja	System locale

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🗺 Roadmap

• Multi-LLM provider support (Google Gemini, OpenAI, Anthropic, local via Ollama / LM Studio)
• Smart language detection and multi-language rotation via MINT_TARGET_LANG
• Explicit target language via --target / -t flag
• Streaming output
• GoReleaser multi-platform binary release (Linux / macOS / Windows)
• Batch translation mode
• Glossary / custom dictionary support
• Output format options (plain text, JSON, Markdown)
• Caching for repeated translations

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📄 License

Apache License 2.0 — see LICENSE for details.