curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash

curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash -s -- --version 4.1.30

curl -fsSL https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/v4.1.30/install.sh | bash -s -- --dry-run

irm https://raw.githubusercontent.com/lbjlaq/Antigravity-Manager/main/install.ps1 | iex

brew tap lbjlaq/antigravity-manager https://github.com/lbjlaq/Antigravity-Manager
brew install --cask antigravity-tools

docker run -d --name antigravity-manager \
  -p 8045:8045 \
  -e API_KEY=$ANTIGRAVITY_API_KEY \
  -e WEB_PASSWORD=$ANTIGRAVITY_WEB_PASSWORD \
  -e ABV_MAX_BODY_SIZE=104857600 \
  -v ~/.antigravity_tools:/root/.antigravity_tools \
  lbjlaq/antigravity-manager:latest

# docker-compose.yml
version: "3.8"
services:
  antigravity:
    image: lbjlaq/antigravity-manager:latest
    container_name: antigravity-manager
    restart: unless-stopped
    ports:
      - "8045:8045"
    environment:
      - API_KEY=${ANTIGRAVITY_API_KEY}
      - WEB_PASSWORD=${ANTIGRAVITY_WEB_PASSWORD}
      - ABV_MAX_BODY_SIZE=104857600
    volumes:
      - ~/.antigravity_tools:/root/.antigravity_tools

docker compose up -d
docker logs antigravity-manager          # view logs / recover forgotten keys

docker logs antigravity-manager
# or
grep -E '"api_key"|"admin_password"' ~/.antigravity_tools/gui_config.json

POST http://localhost:8045/v1/chat/completions
Authorization: Bearer $ANTIGRAVITY_API_KEY

POST http://localhost:8045/v1/messages
Authorization: Bearer $ANTIGRAVITY_API_KEY

POST http://localhost:8045/v1/models/{model}:generateContent
Authorization: Bearer $ANTIGRAVITY_API_KEY

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["ANTIGRAVITY_API_KEY"],
    base_url="http://localhost:8045/v1",
)

response = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[
        {"role": "user", "content": "Explain quantum entanglement in simple terms."}
    ],
    stream=True,
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

import os
import anthropic

client = anthropic.Anthropic(
    api_key=os.environ["ANTIGRAVITY_API_KEY"],
    base_url="http://localhost:8045",
)

message = client.messages.create(
    model="claude-sonnet-4-5",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Write a haiku about distributed systems."}
    ],
)
print(message.content[0].text)

import os
import anthropic

client = anthropic.Anthropic(
    api_key=os.environ["ANTIGRAVITY_API_KEY"],
    base_url="http://localhost:8045",
)

with client.messages.stream(
    model="claude-opus-4-5",
    max_tokens=2048,
    system="You are a helpful coding assistant.",
    messages=[{"role": "user", "content": "Implement a binary search in Rust."}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.ANTIGRAVITY_API_KEY!,
  baseURL: "http://localhost:8045/v1",
});

async function chat(prompt: string): Promise<string> {
  const response = await client.chat.completions.create({
    model: "gemini-2.5-flash",
    messages: [{ role: "user", content: prompt }],
  });
  return response.choices[0].message.content ?? "";
}

// Image generation via Imagen 3
async function generateImage(prompt: string) {
  const response = await client.images.generate({
    model: "imagen-3.0-generate-002",
    prompt,
    size: "1024x1024",  // maps to Imagen 3 aspect ratio
    n: 1,
  });
  return response.data[0].url;
}

# Test OpenAI-compatible endpoint
curl -s http://localhost:8045/v1/chat/completions \
  -H "Authorization: Bearer $ANTIGRAVITY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }' | jq '.choices[0].message.content'

# Test Anthropic endpoint
curl -s http://localhost:8045/v1/messages \
  -H "Authorization: Bearer $ANTIGRAVITY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-5",
    "max_tokens": 256,
    "messages": [{"role": "user", "content": "Hello!"}]
  }' | jq '.content[0].text'

# Set environment variables before starting Claude Code
export ANTHROPIC_API_KEY=$ANTIGRAVITY_API_KEY
export ANTHROPIC_BASE_URL=http://localhost:8045

claude  # start Claude Code — it will use Antigravity as the backend

# .env
ANTHROPIC_API_KEY=your-antigravity-api-key
ANTHROPIC_BASE_URL=http://localhost:8045

// ~/.continue/config.json
{
  "models": [
    {
      "title": "Gemini Pro (Antigravity)",
      "provider": "openai",
      "model": "gemini-2.5-pro",
      "apiKey": "YOUR_ANTIGRAVITY_API_KEY",
      "apiBase": "http://localhost:8045/v1"
    },
    {
      "title": "Claude (Antigravity)",
      "provider": "anthropic",
      "model": "claude-sonnet-4-5",
      "apiKey": "YOUR_ANTIGRAVITY_API_KEY",
      "apiBase": "http://localhost:8045"
    }
  ]
}

{
  "api_key": "sk-your-api-key",
  "admin_password": "your-web-ui-password",
  "proxy": {
    "port": 8045,
    "max_body_size": 104857600,
    "admin_password": "your-web-ui-password"
  },
  "model_routes": [
    {
      "pattern": "gpt-4.*",
      "target": "gemini-2.5-pro"
    },
    {
      "pattern": "gpt-3.5.*",
      "target": "gemini-2.5-flash"
    }
  ]
}

{
  "model_routes": [
    {
      "pattern": "gpt-4-turbo",
      "target": "gemini-2.5-pro"
    },
    {
      "pattern": "gpt-4o",
      "target": "gemini-2.5-pro"
    },
    {
      "pattern": "gpt-3\\.5.*",
      "target": "gemini-2.5-flash"
    },
    {
      "pattern": "claude-3-opus.*",
      "target": "claude-opus-4-5"
    }
  ]
}

[
  {
    "token": "session-token-1",
    "type": "google",
    "label": "account-work"
  },
  {
    "token": "session-token-2",
    "type": "anthropic",
    "label": "account-personal"
  }
]

# Rust
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Node.js (for frontend)
node --version  # requires v18+

# Tauri v2 CLI
cargo install tauri-cli --version "^2"

# System deps (Linux)
sudo apt install libwebkit2gtk-4.1-dev libayatana-appindicator3-dev librsvg2-dev

git clone https://github.com/lbjlaq/Antigravity-Manager.git
cd Antigravity-Manager

npm install          # install frontend deps
cargo tauri dev      # run in development mode
cargo tauri build    # build release binaries → src-tauri/target/release/bundle/

cd src-tauri
cargo build --release --features headless
./target/release/antigravity-manager --headless --port 8045

# Find and kill the process
lsof -ti:8045 | xargs kill -9
# or change port in gui_config.json:
# "proxy": { "port": 8046 }

# Docker
docker logs antigravity-manager | grep -E "api_key|password"

# Local install
cat ~/.antigravity_tools/gui_config.json | grep -E '"api_key"|"admin_password"'

xattr -d com.apple.quarantine /Applications/Antigravity\ Tools.app
# or install with:
brew install --cask antigravity-tools --no-quarantine

docker run ... -v ~/.antigravity_tools:/root/.antigravity_tools ...
# Verify data is present:
ls ~/.antigravity_tools/

# Verify the proxy is running
curl -s http://localhost:8045/v1/models \
  -H "Authorization: Bearer $ANTIGRAVITY_API_KEY"

# Check env vars are exported (not just set)
export ANTHROPIC_BASE_URL=http://localhost:8045
export ANTHROPIC_API_KEY=$ANTIGRAVITY_API_KEY
echo $ANTHROPIC_BASE_URL  # should print the URL

Antigravity-Manager/
├── src/                    # React frontend (TypeScript)
│   ├── components/         # UI components (Dashboard, Accounts, etc.)
│   └── pages/
├── src-tauri/              # Rust backend
│   ├── src/
│   │   ├── main.rs         # Tauri app entry
│   │   ├── proxy/          # Axum HTTP proxy server
│   │   │   ├── router.rs   # Model routing logic
│   │   │   ├── dispatcher.rs # Account rotation
│   │   │   └── mapper.rs   # Protocol conversion
│   │   ├── accounts/       # Account storage & OAuth
│   │   └── quota/          # Quota tracking
│   └── Cargo.toml
├── docker/
│   └── Dockerfile
├── install.sh              # Linux/macOS installer
├── install.ps1             # Windows installer
└── docker-compose.yml