praisonai-deploy

Deployment tooling for PraisonAI — API servers, Docker images, and cloud providers (AWS, Azure, GCP).

Install

pip install praisonai-deploy
pip install "praisonai-deploy[api]"   # Flask API server generation
pip install "praisonai[deploy]"       # full umbrella with wrapper shims

CLI

praisonai deploy run --file agents.yaml
praisonai deploy doctor --all
praisonai deploy validate --file agents.yaml
praisonai deploy plan --file agents.yaml
praisonai deploy status --file agents.yaml
praisonai deploy destroy --file agents.yaml --yes
praisonai deploy docker agents.yaml --tag v1
praisonai deploy aws agents.yaml --region us-east-1

Standalone console script:

praisonai-deploy --help

Python API

from praisonai_deploy import Deploy

deploy = Deploy.from_yaml("agents.yaml")
result = deploy.deploy()
status = deploy.status()

Legacy import paths (praisonai.deploy.*) remain available when the praisonai wrapper is installed.

Runtime dependency (generated servers)

Generated API servers and Docker images install praisonai (full wrapper) at runtime — they embed from praisonai import PraisonAI. The deploy package owns orchestration (generate, build, plan, doctor); containers need pip install praisonai flask gunicorn.

Cloud provider notes

Host CLIs required: docker, aws, az, gcloud (no boto3/Azure SDK in this package).

Monorepo development

Editable install from this directory:

cd src/praisonai-deploy
uv pip install -e .

Regression gates:

• scripts/check_c14_deploy_imports.sh
• src/praisonai/tests/unit/test_c14_deploy_backward_compat.py
• src/praisonai-deploy/tests/