Antigravity Installation & Setup Guide: Python Package to AI Content Pipeline

Antigravity Installation & Initial Setup: The Complete Guide

Antigravity is a Python-based AI content generation framework that streamlines the process of building automated content pipelines. This guide walks you through every step — from installing the package to connecting your API keys and generating your first AI-powered content output.

Prerequisites

• Python 3.9 or higher installed- pip or pipx package manager- A valid Antigravity API key (sign up at the Antigravity dashboard)- Basic familiarity with terminal/command-line tools

Step-by-Step Installation

Step 1: Create a Virtual Environment

Isolating your project dependencies prevents version conflicts and keeps your system Python clean. python -m venv antigravity-env

antigravity-env\Scripts\activate

Step 2: Install the Antigravity Package

pip install antigravity-ai

To verify the installation succeeded, run:

python -c “import antigravity_ai; print(antigravity_ai.version)“

You should see the current version number printed to the console.

Step 3: Install Optional Dependencies

For advanced pipeline features like PDF export, vector storage, or multi-model routing, install extras: pip install antigravity-ai[pdf,vectors,routing]

API Key Configuration

Step 4: Obtain Your API Key

Log in to your Antigravity dashboard and navigate to **Settings > API Keys > Generate New Key**. Copy the key immediately — it will not be shown again.

Step 5: Set the API Key as an Environment Variable

This is the recommended approach for security. Never hard-code keys in source files. # macOS/Linux export ANTIGRAVITY_API_KEY=“YOUR_API_KEY”

echo ANTIGRAVITY_API_KEY=YOUR_API_KEY > .env

Step 6: Initialize the Configuration File

antigravity init

This generates an antigravity.yaml file in your project root with default settings:

# antigravity.yaml api_key: ${ANTIGRAVITY_API_KEY} default_model: ag-standard-v2 output_format: markdown max_tokens: 2048 pipeline: retry_attempts: 3 timeout: 60 cache_enabled: true

Building Your First Content Pipeline

Step 7: Create a Basic Generation Script

from antigravity_ai import Client, Pipeline, ContentBlock

# Initialize the client (reads API key from environment)
client = Client()

# Define a simple content pipeline
pipeline = Pipeline(
    name="blog-generator",
    steps=[
        ContentBlock(
            role="outline",
            prompt="Create a detailed outline for: {topic}",
            model="ag-standard-v2"
        ),
        ContentBlock(
            role="draft",
            prompt="Write a full article based on this outline: {outline}",
            model="ag-standard-v2",
            max_tokens=3000
        ),
        ContentBlock(
            role="polish",
            prompt="Edit for clarity, grammar, and SEO: {draft}",
            model="ag-standard-v2"
        )
    ]
)

# Run the pipeline
result = pipeline.run(variables={"topic": "Remote Work Productivity Tips"})

print(result.final_output)
result.save("output/article.md")

Step 8: Run the Script

python generate.py

The pipeline executes each step sequentially, passing the output of one block as input to the next. Your finished article will be saved to output/article.md.

Step 9: Use the CLI for Quick Generation

For one-off tasks, the CLI is faster than writing a script: antigravity generate —prompt “Write a product description for wireless earbuds” —model ag-standard-v2 —output result.md

Pipeline Configuration Options

AuthenticationError: Invalid API key

Verify your key is correctly set in the environment. Run echo $ANTIGRAVITY_API_KEY (or $env:ANTIGRAVITY_API_KEY on Windows) to confirm it is loaded. Regenerate the key from the dashboard if it has been revoked.

ModuleNotFoundError: No module named antigravity_ai

Ensure your virtual environment is activated. Run pip list | grep antigravity to check if the package is installed in the active environment. Reinstall with pip install antigravity-ai if missing.

TimeoutError: Pipeline step exceeded 60s

Increase the timeout in antigravity.yaml or pass timeout=120 to the Pipeline constructor. Long-form content with high token limits may require more processing time. Also check your network connection stability.

RateLimitError: Too many requests

The default rate limit varies by plan. Add exponential backoff by setting retry_strategy: exponential in your config, or reduce parallel batch sizes. Upgrade your plan for higher throughput.

Frequently Asked Questions

What Python version does Antigravity require?

Antigravity requires Python 3.9 or higher. Python 3.11+ is recommended for best performance due to interpreter speed improvements. You can check your version with python —version before installation.

Can I use Antigravity with multiple AI models simultaneously?

Yes. Each ContentBlock in a pipeline can specify a different model via the model parameter. This allows you to route different tasks — such as outlining, drafting, and editing — to the most appropriate model for each stage of your content workflow.

How do I manage API costs when running large batch jobs?

Enable caching with cache_enabled: true to avoid re-processing identical prompts. Use —dry-run to validate pipelines before execution. Monitor usage in the dashboard under Billing > Usage, and set spending alerts to stay within budget. Choosing ag-fast-v1 for non-critical steps also significantly reduces per-run costs.