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Version: 0.2.0

Local Deployment

Run Agent Kernel locally for development and testing.

CLI Mode​

The simplest way to run agents locally:

from agentkernel.cli import CLI

if __name__ == "__main__":
    CLI.main()

Run:

python my_agent.py

CLI Features​

  • Agent selection
  • Session management
  • Conversation history
  • Error display
  • Debug mode

REST API Mode​

Run as a local API server:

from agentkernel.api import RESTAPI

if __name__ == "__main__":
    RESTAPI.run()

Run:

python my_agent.py

Test with curl:

curl -X POST http://localhost:8000/chat \
  -H "Content-Type: application/json" \
  -d '{
    "agent": "general",
    "message": "Hello!",
    "session_id": "test-123"
  }'

Configuration​

# Log level
export AK_LOG_LEVEL=DEBUG

# Session storage
export AK_SESSION_STORAGE=in_memory

# Port (API mode)
export AK_API_PORT=8000

Development Workflow​

  1. Write agent code
  2. Test in CLI - python my_agent.py
  3. Test API locally - python my_agent.py --mode api
  4. Deploy to cloud when ready
  5. Optionally create docker image (Refer to containerized examples)

Best Practices​

  • Use CLI for rapid iteration
  • Test with API mode before deployment
  • Use in-memory sessions for development
  • Enable DEBUG logging during development