An async Python client for the Hummingbot API with modular router support.

pip install hummingbot-api-client

import asyncio
from hummingbot_api_client import HummingbotAPIClient


async def main():
  # Using context manager (recommended)
  async with HummingbotAPIClient("http://localhost:8000", "admin", "admin") as client:
    # Get portfolio state
    portfolio = await client.portfolio.get_state()
    print(f"Portfolio value: ${sum(b['value'] for a in portfolio.values() for c in a.values() for b in c):.2f}")

    # List available connectors
    connectors = await client.connectors.list_connectors()
    print(f"Available connectors: {len(connectors)}")

    # Check Docker status
    docker_status = await client.docker.is_running()
    print(f"Docker running: {docker_status['is_docker_running']}")


asyncio.run(main())

Before using the client, ensure:

1. The Hummingbot API is running on http://localhost:8000 (default)
2. Authentication credentials are configured (default: admin:admin)
3. Docker is running (for Docker-related operations)
4. Required dependencies are installed

The client provides access to all Hummingbot API functionality through specialized routers:

Container and image management for Hummingbot Docker instances.

Key features:

• Check Docker daemon status
• List/start/stop/remove containers
• Pull Docker images with progress monitoring
• Clean up exited containers
• Filter containers by name

Common methods:

• is_running() - Check if Docker is running
• get_active_containers() - List all running containers
• start_container(name) - Start a stopped container
• stop_container(name) - Stop a running container
• pull_image(name, tag) - Pull a Docker image

Manage trading accounts and exchange credentials.

Key features:

• Create and delete trading accounts
• Add/update/delete exchange credentials
• List configured connectors per account
• Secure credential storage

Common methods:

• list_accounts() - Get all account names
• add_account(name) - Create new account
• add_credential(account, connector, credentials) - Add exchange credentials
• list_account_credentials(account) - List connectors with credentials

Execute trades and manage orders across exchanges.

Key features:

• Place market and limit orders
• Cancel active orders
• Monitor open positions
• Track trade history with pagination
• Access funding payments (perpetuals)
• Configure leverage and position modes

Common methods:

• place_order(account, connector, pair, type, amount, ...) - Place an order
• cancel_order(account, connector, order_id) - Cancel an order
• get_active_orders() - List all active orders
• get_positions() - Get current positions
• get_trades() - Get trade history
• set_leverage(account, connector, pair, leverage) - Set leverage

Monitor and analyze portfolio performance.

Key features:

• Real-time portfolio state across all accounts
• Token distribution analysis
• Account balance tracking
• Historical portfolio data
• Value calculations in USD

Common methods:

• get_state() - Get current portfolio state
• get_total_value() - Calculate total portfolio value
• get_distribution() - Get token distribution percentages
• get_token_holdings(token) - Find specific token holdings
• get_portfolio_summary() - Get comprehensive summary

Access exchange connector information.

Key features:

• List available exchange connectors
• Get configuration requirements
• Access trading rules (min/max amounts, tick sizes)
• Supported order types per exchange

Common methods:

• list_connectors() - List all available connectors
• get_config_map(connector) - Get required configuration fields
• get_trading_rules(connector, pairs) - Get trading rules
• get_supported_order_types(connector) - Get supported order types

Manage bot lifecycle and deployment.

Key features:

• Start/stop/restart bots
• Deploy V2 scripts and controllers
• Monitor bot status via MQTT
• Get bot performance metrics
• Archive bot data
• Track bot runs with filtering

Common methods:

• start_bot(name, script, config) - Start a bot
• stop_bot(name) - Stop a bot
• get_bot_status(name) - Get bot status
• deploy_v2_script(name, profile, script, config) - Deploy a script bot
• deploy_v2_controllers(name, profile, controllers) - Deploy controller bot
• get_bot_runs() - Get bot run history

Manage V2 strategy controllers.

Key features:

• List available controller types
• Create/update/delete controllers
• Manage controller configurations
• Get controller templates
• Bot-specific controller configs

Common methods:

• list_controllers() - List all controllers by type
• get_controller(type, name) - Get controller content
• create_or_update_controller(type, name, data) - Create/update controller
• list_controller_configs() - List all configurations
• get_bot_controller_configs(bot) - Get bot's controller configs

Manage traditional Hummingbot scripts.

Key features:

• List available scripts
• Create/update/delete scripts
• Manage script configurations
• Get configuration templates

Common methods:

• list_scripts() - List all scripts
• get_script(name) - Get script content
• create_or_update_script(name, data) - Create/update script
• list_script_configs() - List all script configurations
• get_script_config_template(name) - Get config template

Run strategy backtests.

Key features:

• Run backtesting simulations
• Configure time periods and resolution
• Set trading costs
• Custom configuration options

Common methods:

• run_backtesting(start_time, end_time, resolution, trade_cost, config) - Run backtest

Analyze historical bot data.

Key features:

• List database files
• Get performance analysis
• Access trade/order history
• View executor and position data
• Analyze controller configurations

Common methods:

• list_databases() - List all database files
• get_database_performance(db) - Get performance metrics
• get_database_trades(db, limit, offset) - Get trade history
• get_database_orders(db, limit, offset, status) - Get order history
• get_database_positions(db) - Get position data

Access real-time and historical market data.

Key features:

• Real-time price feeds
• Historical candle data (OHLCV)
• Order book snapshots
• Funding rates (perpetuals)
• Volume/price analysis
• VWAP calculations

Common methods:

• get_candles(connector, pair, interval, max_records) - Get real-time candles
• get_historical_candles(connector, pair, interval, start, end) - Get historical data
• get_prices(connector, pairs) - Get current prices
• get_order_book(connector, pair, depth) - Get order book
• get_funding_info(connector, pair) - Get funding rates
• get_vwap_for_volume(connector, pair, volume, is_buy) - Calculate VWAP

The library includes comprehensive Jupyter notebooks demonstrating usage for each router. These provide interactive, step-by-step tutorials with explanations:

Note: Jupyter notebooks are not included in the repository by default. To run the example notebooks, install Jupyter:

pip install jupyter notebook
# or
pip install jupyterlab

Example notebooks cover:

• Basic usage demonstrating all features
• Router-specific examples (docker, accounts, trading, portfolio, connectors)
• Advanced patterns and error handling
• Real-time monitoring and bot management

Each notebook provides interactive demonstrations of the complete functionality with real API calls and detailed explanations.

async with HummingbotClient("http://localhost:8000", "admin", "admin") as client:
    try:
        orders = await client.trading.search_orders({"limit": 10})
        print(f"Found {len(orders['data'])} orders")
    except aiohttp.ClientResponseError as e:
        print(f"API error: {e.status} - {e.message}")
    except Exception as e:
        print(f"Unexpected error: {e}")

async def get_all_orders(client):
    """Fetch all orders using pagination."""
    all_orders = []
    cursor = None
    
    while True:
        filter_request = {"limit": 100}
        if cursor:
            filter_request["cursor"] = cursor
            
        response = await client.trading.search_orders(filter_request)
        all_orders.extend(response["data"])
        
        pagination = response["pagination"]
        if not pagination["has_more"]:
            break
            
        cursor = pagination["next_cursor"]
    
    return all_orders

import aiohttp

# Create client with custom timeout
timeout = aiohttp.ClientTimeout(total=60)  # 60 seconds
client = HummingbotClient(
    "http://localhost:8000",
    "admin",
    "admin",
    timeout=timeout
)

# Install build dependencies
uv pip install build

# Build the package
python -m build

# Install in development mode
pip install -e .

Apache License 2.0