AntGravityCLI 1.2.6

A portable and interactive command-line interface (CLI) for the Google Antigravity ecosystem.

AntGravity CLI

A portable and interactive command-line interface (CLI) developed in Python to flexibly interact with agents from the Google Antigravity ecosystem.

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Requirements

• Python 3.11+
• Installed dependencies (including google-antigravity, click, colorama, python-dotenv, rich, prompt-toolkit, and PyYAML).

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Installation and Setup

Global Installation (via PyPI)

Install the package globally or in your virtual environment:

pip install AntGravityCLI

Once installed, you can run the CLI from anywhere using:

antgravity [options] [prompt]
# or the shortcut alias:
ant [options] [prompt]

Development Setup

1. Clone the repository and navigate to the project folder.
2. Make sure the virtual environment is activated:

   .\.venv\Scripts\activate
   

3. Install package dependencies in editable mode:

   pip install -e .
   

4. Configure your environment using a .env file by copying the template:

   cp .env.example .env
   

Running the Test Suite

The test suite has been restructured into a modular tests/ package. To run all tests and check for regressions, execute:

python -m unittest discover -s tests -p "test_*.py"

Click Subcommands

The CLI exposes two built-in subcommands:

1. Interactive Workspace Setup (init)

To initialize a new project workspace with the required folders (.agents/, .agents/skills/, .agents/subagents/), templates, and a configured .env file, run:

ant init
# or with language options (e.g., pt-br)
ant init --language pt-br

2. Prompt Script Batch Run (run)

To run a pre-written prompt from a markdown or text file in a single-shot execution:

ant run test_script.md
# you can pass any option (model, yolo, etc.) to it
ant run -y -m gemini-3.5-flash test_script.md

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Environment Resolution and Default Values

The CLI resolves configuration by loading .env files. By default, it loads them in two stages:

1. Physical CLI script installation folder: Loads .env for global default configuration.
2. Current Working Directory (CWD): Loads .env for workspace-specific configurations (which override the global ones).

Alternatively, you can load a custom .env file using the --env-file / -e option. When a custom .env file is specified, the default .env files (global and CWD) are not loaded automatically, giving you full control over the variables.

If a .env file is not present or a specific variable is not set, the CLI falls back to the following default values:

Environment Variable	CLI Option	Description	Default Value
GEMINI_API_KEY	--api-key	Gemini API Key	None (Required)
GEMINI_MODEL	--model / -m	Gemini Model to be used	gemini-3.1-flash-lite
ANTGRAVITY_LANG	--language / -l	CLI UI Language	en-us
ANTGRAVITY_YOLO	--yolo / -y	Run in YOLO (Safe-bypass) Mode	False (Safe Mode)
ANTGRAVITY_WORKSPACE	--workspace / -w	Restricted workspace paths	None (Current CWD)
ANTGRAVITY_SYSTEM_INSTRUCTION	--system-instruction / -s	System instruction or path	None
ANTGRAVITY_SKILLS_PATH	--skills-path / -k	Custom workspace skills folders	None
ANTGRAVITY_SILENT	--silent	Hide thoughts and tool execution logs	False
ANTGRAVITY_VERBOSE	--verbose / -v	Show internal reasoning details	False
ANTGRAVITY_VERBOSE_SUBAGENTS	--verbose-subagents	Show internal reasoning details for subagents	False

(You can always override these values dynamically by passing their respective flags on the command line).

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How to Use

1. Single Prompt Mode

To send a prompt and receive the response directly:

ant "Write a greeting in Python"

2. Interactive Mode (REPL)

To start a continuous chat with the agent (which maintains session history):

ant

Useful commands in Interactive Mode:

• /reset: Clears conversation history and resets agent context.
• /exit or /quit: Closes the interactive terminal.
• /help or ?: Displays a detailed help message with all commands, active skills, and subagents (including custom plugins).
• /ants or /subagents: Lists all registered colony subagents and their capabilities.
• /disable_skill <name>: Disables a global skill in the active session.
• /enable_skill <name>: Re-enables a previously disabled global skill.
• /disable_agent <name>: Disables a colony subagent (blocking delegation to it).
• /enable_agent <name>: Re-enables a previously disabled colony subagent.
• /reload: Reloads all active workspace skills, colony subagents, and clears caches.
• /clear or /cls: Clears the terminal screen.
• /history [count]: Displays recent prompt history.
• /save <name>: Saves the active conversation step history to a JSON file (stored at <history_dir>/sessions/).
• /load <name>: Restores step history from a previously saved JSON file.
• /config: Displays active configuration parameters (with masked API key).

Auto-completion and Interactive Features:

• Platform-Standard History Location: Command history is automatically saved to platform-compliant directory paths instead of user home cluttering:
  • Windows: %LOCALAPPDATA%\AntGravity\history
  • macOS: ~/Library/Application Support/AntGravity/history
  • Linux: ~/.local/share/antgravity/history
• Active Agent Prompt Indicator: When a subagent is executing or was invoked, the prompt dynamically updates (e.g. You (-> SubagentName) > or Você (-> SubagentName) >) to show you the current agentic context.
• Real-time Auto-completion: Typing / triggers commands/skills, @ triggers workspace files, and : lists colony subagents. Auto-completion features substring/middle-of-path matching, prefix prioritization, case-insensitivity, and backspace stability.
• Smart Ellipsis for Skills: At REPL startup, active skills are listed in the welcome banner up to a limit of 5. Any excess skills are summarized with a localized ellipsis (... and more or ... e mais).
• Multi-line Input Support: You can type multi-line prompts by ending a line with a backslash \. The CLI will automatically strip trailing whitespaces and continue reading input in the next line.
• Stdin Pipe Support: You can run the CLI non-interactively using pipes (e.g., echo "Explain Python" | ant). The CLI will detect that stdin is redirected, read the prompt, and output the response without blocking.
• Custom REPL Commands: You can extend the REPL by putting custom command scripts subclassing REPLCommand inside the .agents/commands/ folder of your workspace. They will be loaded dynamically at runtime.

3. Safe Mode vs YOLO Mode

• Safe Mode (Default): Whenever the agent tries to run risky terminal commands (like the RUN_COMMAND tool), the CLI will request your permission in the console ([y/N]) before proceeding.
• YOLO Mode (-y / --yolo): Disables all safety confirmations and executes all actions autonomously.

  ant -y "Create a folder named test and list the directory"
  

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Available Options

You can customize the CLI behavior using flags:

Flag	Shortcut	Env Variable	Description
--model	-m	GEMINI_MODEL	Specifies the Gemini model (default: gemini-3.1-flash-lite).
--yolo	-y	ANTGRAVITY_YOLO	Skips all permissions/confirmations and runs everything freely.
--workspace	-w	ANTGRAVITY_WORKSPACE	Restricts file tools to a specific directory (can be repeated).
--system-instruction	-s	ANTGRAVITY_SYSTEM_INSTRUCTION	Text with custom system instructions or path to a text file.
--api-key		GEMINI_API_KEY	Passes the API key directly on the command line.
--skills-path	-k	ANTGRAVITY_SKILLS_PATH	Path to skills folders (can be repeated).
--silent		ANTGRAVITY_SILENT	Hides internal thoughts and tool calls in the terminal.
--verbose	-v	ANTGRAVITY_VERBOSE	Displays the AI's internal reasoning thoughts in gray.
--verbose-subagents		ANTGRAVITY_VERBOSE_SUBAGENTS	Displays internal reasoning thoughts and tool execution logs for subagents, prefixed with [SubagentName].
--language	-l	ANTGRAVITY_LANG	Specifies the output translation language (default: en-us).
--env-file	-e		Path to a custom .env file to load configurations from.
--version	-V		Displays the installed CLI version.

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Localization (i18n)

The AntGravity CLI features built-in internationalization (i18n). Output messages, error states, and terminal prompts are decoupled from the source code and stored as JSON translation files inside the translate/ directory.

Structure of translate/

translate/
├── pt-br/                         # Brazilian Portuguese translations
│   ├── config.json
│   ├── console_io.json
│   ├── handlers.json
│   ├── parser.json
│   ├── repl.json
│   ├── runner.json
│   └── commands.json
└── en-us/                         # English translations (Default)
    ├── config.json
    ├── console_io.json
    ├── handlers.json
    ├── parser.json
    ├── repl.json
    ├── runner.json
    └── commands.json

Adding New Languages

To support a new language (e.g. es-es for Spanish):

1. Create a new directory named after the locale code inside translate/ (e.g. translate/es-es/).
2. Copy the JSON files from translate/en-us/ into the new folder and translate their text values.
3. Switch the CLI runtime language using the --language es-es flag.

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Customization and Settings (.agents)

The .agents folder at the root of your project is the Local Workspace Customization folder. Through it, you can define rules, create new skills, and customize agent responses.

Complete Structure of .agents

my-project/
└── .agents/
    ├── AGENTS.md                  # Project rules and guidelines
    ├── skills/                    # Folder containing specific skills
    │   └── my_custom_skill/       # Example of a skill
    │       ├── SKILL.md           # Skill instructions and triggers (Required)
    │       ├── scripts/           # Supporting scripts
    │       ├── examples/          # Usage/code examples
    │       └── references/        # Reference documentation
    └── subagents/                 # Colony subagents folder
        └── my_subagent/
            ├── AGENT.md           # Subagent manifesto and instructions
            └── scripts/           # Custom python/shell tools

1. Project Rules (AGENTS.md)

The .agents/AGENTS.md file defines the general rules of behavior, style, and technical constraints that the agent must follow in this project. Global rules can be set at C:\Users\<user>\.gemini\config\AGENTS.md for machine-wide application.

2. Skills (skills/)

Skills are packages of behavior dynamically loaded depending on context.

• The SKILL.md file (Required): Defines name, description YAML frontmatter and the body with instructions.
• Scripts (scripts/): Executable scripts inside are automatically exposed as tools (e.g., my_custom_skill.script_name).

3. Subagents (subagents/)

Subagents are specialized workers configured to execute isolated tasks under the parent agent's delegation.

• The AGENT.md file (Required): Defines configuration frontmatter and system instructions. YAML parsing is powered by native Python PyYAML integration.
• Custom Tools (scripts/): Scripts inside automatically register as subagent-exclusive tools.