Antigravity Environment Config (Interactions)

Configure the Antigravity sandbox by reusing an environment ID or passing a full EnvironmentConfig dict.

Two non-default ways to control the Antigravity sandbox:

Option	When to use
Reuse by id ("env_<id>")	Agent needs to build on prior work in the same sandbox (iterative project). Faster startup, state persists across runs.
Full EnvironmentConfig dict	Need a specific source repo, package set, or network policy.

The dict shape mirrors the API’s EnvironmentConfig. Only the keys you set are sent; the API applies defaults for the rest.

Code

antigravity_environment_config.py

from agno.agent import Agent
from agno.models.google import GeminiInteractions

# Reuse an existing environment by id
agent_reuse = Agent(
    model=GeminiInteractions(
        agent="antigravity-preview-05-2026",
        environment="env_xxxxxxxx",
    ),
    markdown=True,
)

# Full EnvironmentConfig
agent_custom = Agent(
    model=GeminiInteractions(
        agent="antigravity-preview-05-2026",
        environment={
            "type": "remote",
            "sources": [
                {"type": "git", "url": "https://github.com/agno-agi/agno"},
            ],
            "network": {"allow_internet_access": True},
        },
    ),
    markdown=True,
)

if __name__ == "__main__":
    agent_reuse.print_response(
        "Continue the project we started last time and ship the next "
        "iteration of the report."
    )

    agent_custom.print_response(
        "Skim the repo we cloned, summarize the module layout, and save "
        "the summary to STRUCTURE.md inside the sandbox."
    )

Usage

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Set your API key

   export GOOGLE_API_KEY=xxx
   
3. Install dependencies

   uv pip install -U "google-genai>=2.0" agno
   
4. Run Agent

   Save the code above as antigravity_environment_config.py, then run:

   python antigravity_environment_config.py