AgentHive 1.0.202506050705

AgentHive is a flexible, Python-based service framework for managing distributed task execution.

AgentHive

AgentHive is a Python-based framework for managing distributed task execution with a focus on scalability and ease of use. It coordinates producers (tasks) and consumers (workers) in a high-availability setup, using Redis for messaging and PostgreSQL for persistent storage. With a powerful CLI, Docker Compose integration, and a web-based monitor, AgentHive is ideal for developers building extensible task-processing systems.

Key Features

• Task Coordination: Producers submit tasks; workers process them dynamically.
• High Availability: Coordinators manage workers and tasks with failover support.
• Dynamic Workers: Workers declare task-handling capabilities, loaded at runtime.
• Real-Time Monitoring: Web interface displays worker and task statuses via coordinator APIs.
• Dockerized: Pre-configured services for easy deployment with Docker Compose.
• CLI-Driven: Initialize projects and manage workers with simple agenthive commands.

Installation

Install AgentHive from PyPI to use the CLI:

pip install agenthive

Quick Start

1. Initialize a Project Create a new project with the agenthive init command:

   agenthive init my-project
   cd my-project
   

2. Run the System Start all services (Redis, PostgreSQL, coordinators, workers, monitor) using Docker Compose:

   docker-compose -f docker/docker-compose.yml up --build
   

3. Customize Workers Add custom workers to src/workers/ and rebuild the services:

   # Example: Add a new worker manually or extend CLI in the future
   echo "print('Custom worker loaded')" > src/workers/custom_worker.py
   docker-compose -f docker/docker-compose.yml up --build
   

Project Structure

After initialization, your project looks like this:

my-project/
├── docker/
│   ├── coordinator/
│   │   └── Dockerfile
│   ├── monitor/
│   │   └── Dockerfile
│   ├── workers/
│   │   └── Dockerfile
│   ├── docker-compose.yml
│   ├── postgres/
│   │   └── init.sql
│   └── redis/
│       └── redis.conf
└── src/
    └── workers/
        ├── example_worker.py
        └── requirements/
            └── example_worker.txt

• docker/: Contains Dockerfiles and Compose configuration.
• src/workers/: Directory for custom worker implementations.

Architecture

• Coordinators: Assign tasks via Redis, track states in PostgreSQL.
• Workers: Fetch tasks from Redis, report heartbeats, execute custom logic.
• Redis: Message broker for tasks and status updates.
• PostgreSQL: Persistent storage for task and worker data.
• Monitor: Web UI querying coordinator APIs for system insights.

Usage

For End Users

• Initialize with agenthive init <project-name> and run with Docker Compose.
• Dockerfiles use pip install agenthive by default, requiring a PyPI-published version.

For Developers

• Use --agenthive-project-path to test local code:

  agenthive init my-project --agenthive-project-path /path/to/agenthive
  cd my-project
  docker-compose -f docker/docker-compose.yml up --build
  

• This copies /path/to/agenthive/src/, setup.py, and requirements/ into the project, configuring Dockerfiles to use local code instead of PyPI.

Scaling Workers

• To increase the number of worker instances without restarting existing services, use:

  docker compose -f docker/docker-compose.yml up -d --no-recreate --scale worker=2
  

• This command will:

  • Start additional worker instances to reach the specified total (2 in this example)
  • Run in detached mode (-d)
  • Preserve existing containers (--no-recreate)
  • Only affect the worker service, leaving other services untouched

• Alternatively, to scale workers while only targeting the worker service:

  docker compose -f docker/docker-compose.yml up -d --scale worker=2 worker
  

• For permanent scaling, you can modify the replicas value in the docker-compose.yml file:

  worker:
    # other configuration...
    deploy:
      mode: replicated
      replicas: 2  # Change from 1 to desired number
  

Development Setup

1. Clone and Install Locally

   git clone https://github.com/changyy/py-AgentHive.git
   cd py-AgentHive
   python3 -m venv venv
   source venv/bin/activate
   pip install -e .
   

2. Test CLI

   agenthive init test-project --agenthive-project-path .
   cd test-project
   docker-compose -f docker/docker-compose.yml up --build
   

3. Run Original Development Environment Use the local docker/ for core development:

   docker-compose -f docker/docker-compose.yml up --build
   

Worker Customization

Workers are Python modules in src/workers/. The worker service scans this directory dynamically at runtime. Example worker:

# src/workers/example_worker.py
from agenthive.core.worker import Worker
from typing import Dict, Any

class ExampleWorker(Worker):
    TASK_TYPES = ["example_task"]

    async def setup(self) -> None:
        print("ExampleWorker setting up...")

    async def process_task(self, task) -> Dict[str, Any]:
        print(f"Processing task: {task.data}")
        return {"result": "Task completed", "data": task.data}

Add dependencies in src/workers/requirements/<worker_name>.txt (e.g., requests==2.32.3).

Contributing

Fork the repo, create a feature branch, and submit a pull request to github.com/changyy/py-AgentHive.

License

MIT License. See the LICENSE file for details.