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Agent Control Plane API - Multi-tenant AI agent orchestration and management platform

Project description

Kubiya Control Plane API

A multi-tenant AI agent orchestration and management platform built with FastAPI, Temporal, and PostgreSQL.

Features

  • Multi-tenant Architecture: Manage multiple projects, teams, and agents
  • Workflow Orchestration: Temporal-based workflow execution
  • Flexible Agent Runtime: Support for multiple agent types and skills
  • Policy Enforcement: OPA-based policy engine for agent governance
  • Scalable Workers: Distributed worker architecture for agent execution
  • Context Management: Environment and team-specific context handling
  • LLM Integration: Support for multiple LLM providers via LiteLLM
  • Comprehensive APIs: RESTful APIs for all platform features

Installation

Using pip

pip install kubiya-control-plane-api

With optional dependencies

# For API server
pip install kubiya-control-plane-api[api]

# For worker runtime
pip install kubiya-control-plane-api[worker]

# For development
pip install kubiya-control-plane-api[dev]

# All dependencies
pip install kubiya-control-plane-api[all]

From source

git clone https://github.com/kubiyabot/agent-control-plane.git
cd agent-control-plane
pip install -e .

Quick Start

1. Set up environment variables

Create a .env file or set the following environment variables:

# Database Configuration
DATABASE_URL=postgresql://user:password@localhost:5432/control_plane

# Supabase (for serverless deployments)
SUPABASE_URL=your-supabase-url
SUPABASE_KEY=your-supabase-key

# Temporal Configuration
TEMPORAL_HOST=localhost:7233
TEMPORAL_NAMESPACE=default

# API Configuration
API_TITLE="Agent Control Plane"
API_VERSION="1.0.0"
ENVIRONMENT=development
LOG_LEVEL=info

# Security
SECRET_KEY=your-secret-key-here

# Optional: Kubiya Integration
KUBIYA_API_KEY=your-kubiya-api-key
KUBIYA_API_URL=https://api.kubiya.ai

2. Run database migrations

alembic upgrade head

3. Start the API server

uvicorn control_plane_api.app.main:app --host 0.0.0.0 --port 7777 --reload

The API will be available at http://localhost:7777

4. Access the API documentation

Open your browser and navigate to:

  • Swagger UI: http://localhost:7777/api/docs
  • ReDoc: http://localhost:7777/api/redoc

5. Start a worker

To process agent execution workflows:

kubiya-control-plane-worker

API Endpoints

Core Resources

  • Projects: /api/v1/projects - Multi-project management
  • Environments: /api/v1/environments - Environment configuration
  • Agents: /api/v1/agents - Agent management
  • Teams: /api/v1/teams - Team management
  • Workflows: /api/v1/workflows - Workflow definitions
  • Executions: /api/v1/executions - Execution tracking
  • Workers: /api/v1/workers - Worker registration and management

Skills and Policies

  • Skills: /api/v1/skills - Tool sets and definitions
  • Policies: /api/v1/policies - Policy management and enforcement

Integration

  • Secrets: /api/v1/secrets - Secrets management (proxies to Kubiya)
  • Integrations: /api/v1/integrations - Third-party integrations
  • Models: /api/v1/models - LLM model configuration

Utilities

  • Health: /api/health - Health check endpoint
  • Task Planning: /api/v1/task-planning - AI-powered task planning

Configuration

The application uses Pydantic Settings for configuration management. All settings can be configured via environment variables or a .env file.

Key Configuration Options

  • DATABASE_URL: PostgreSQL connection string
  • SUPABASE_URL, SUPABASE_KEY: Supabase configuration for serverless
  • TEMPORAL_HOST: Temporal server address
  • KUBIYA_API_KEY: Kubiya platform API key
  • SECRET_KEY: Secret key for JWT token signing
  • LOG_LEVEL: Logging level (debug, info, warning, error)
  • ENVIRONMENT: Deployment environment (development, staging, production)

Development

Install development dependencies

pip install -e ".[dev]"

Run tests

# All tests
pytest

# Unit tests only
pytest -m unit

# Integration tests
pytest -m integration

# With coverage
pytest --cov=control_plane_api --cov-report=html

Code formatting

# Format code with black
black .

# Lint with ruff
ruff check .

Database migrations

# Create a new migration
alembic revision --autogenerate -m "Description of changes"

# Apply migrations
alembic upgrade head

# Rollback migration
alembic downgrade -1

Architecture

Workflow Orchestration

The platform uses Temporal for reliable workflow execution:

  • Durable execution with automatic retries
  • Activity-based task decomposition
  • Support for long-running workflows
  • Built-in observability and monitoring

Multi-tenancy

  • Projects: Top-level isolation boundary
  • Environments: Isolated execution contexts within projects
  • Teams: Collaborative agent groups
  • Agents: Individual agent instances

Worker Architecture

Workers pull tasks from environment-specific queues and execute agent workflows using Temporal.

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Run tests and linting
  5. Submit a pull request

License

GNU Affero General Public License v3.0 (AGPL-3.0) - see LICENSE file for details

Support

For issues and questions:

Links

Project details


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