Deploy CLI

Deploy agents using praisonai deploy command

Deploy agents to API servers, Docker containers, or cloud providers using praisonai deploy.

Quick Start

1. Install PraisonAI

   pip install praisonai
   
2. Set API Key

   export OPENAI_API_KEY="your-key"
   
3. Initialize Deploy Config

   praisonai deploy init --file agents.yaml --type api
   
4. Deploy

   praisonai deploy run --file agents.yaml
   

Deploy Types

Type	Command	Description
API	--type api	Local FastAPI server
Docker	--type docker	Docker container
AWS	--type cloud --provider aws	AWS ECS/Fargate
GCP	--type cloud --provider gcp	Google Cloud Run

CLI Commands

praisonai deploy run

Execute deployment.

praisonai deploy run --file agents.yaml --type api
praisonai deploy run --file agents.yaml --type docker
praisonai deploy run --file agents.yaml --type cloud --provider aws
praisonai deploy run --file agents.yaml --type cloud --provider gcp

praisonai deploy init

Generate sample agents.yaml with deploy configuration.

praisonai deploy init --file agents.yaml --type api
praisonai deploy init --file agents.yaml --type docker
praisonai deploy init --file agents.yaml --type cloud --provider aws
praisonai deploy init --file agents.yaml --type cloud --provider gcp

praisonai deploy validate

Validate agents.yaml deploy configuration.

praisonai deploy validate --file agents.yaml

praisonai deploy plan

Show deployment plan without executing.

praisonai deploy plan --file agents.yaml

praisonai deploy status

Show deployment status.

praisonai deploy status --file agents.yaml

Expected Output:

📊 Checking deployment status...

╭─────────────────────────────────────────────────────────────────────────────╮
│                            Deployment Status                                 │
├─────────────────┬───────────────────────────────────────────────────────────┤
│ Property        │ Value                                                     │
├─────────────────┼───────────────────────────────────────────────────────────┤
│ State           │ RUNNING                                                   │
│ Service Name    │ praisonai-api                                             │
│ Provider        │ api                                                       │
│ URL             │ http://127.0.0.1:8005                                     │
│ Healthy         │ ✅ Yes                                                    │
│ Instances       │ 1/1                                                       │
╰─────────────────┴───────────────────────────────────────────────────────────╯

praisonai deploy doctor

Check deployment readiness.

praisonai deploy doctor
praisonai deploy doctor --provider aws
praisonai deploy doctor --provider gcp

praisonai deploy destroy

Destroy/delete deployment.

praisonai deploy destroy --file agents.yaml
praisonai deploy destroy --file agents.yaml --yes  # Skip confirmation

CLI Flags

Flag	Type	Default	Description
--file, -f	string	agents.yaml	Path to agents.yaml
--type	choice	-	api, docker, or cloud
--provider	choice	-	aws, gcp, azure (for cloud type)
--background	flag	false	Run in background
--json	flag	false	Output as JSON
--yes	flag	false	Skip confirmation prompts

agents.yaml Deploy Section

Add a deploy section to your agents.yaml:

framework: praisonai
topic: helpful assistant
roles:
  assistant:
    role: Assistant
    goal: Help users
    backstory: You are helpful
    tasks:
      help_task:
        description: Answer questions
        expected_output: Helpful response

deploy:
  type: api
  api:
    host: "127.0.0.1"
    port: 8005
    workers: 1
    cors_enabled: true
    auth_enabled: false
    reload: false

Deploy Configuration Options

API Config

Field	Type	Default	Description
host	string	127.0.0.1	Server host
port	int	8005	Server port
workers	int	1	Worker processes
cors_enabled	bool	true	Enable CORS
auth_enabled	bool	false	Enable auth
auth_token	string	null	Auth token
reload	bool	false	Auto-reload (dev)

Docker Config

Field	Type	Default	Description
image_name	string	praisonai-app	Image name
tag	string	latest	Image tag
base_image	string	python:3.11-slim	Base image
expose	list[int]	[8005]	Ports to expose
registry	string	null	Registry URL
push	bool	false	Push to registry

Cloud Config

Field	Type	Default	Description
provider	enum	-	aws, gcp, azure
region	string	-	Deployment region
service_name	string	-	Service name
cpu	string	256	CPU allocation
memory	string	512	Memory (MB)
min_instances	int	1	Min instances
max_instances	int	10	Max instances
env_vars	dict	null	Environment vars

SDK Deploy Class

Deploy programmatically using Python:

from praisonai.deploy import Deploy, DeployConfig, DeployType
from praisonai.deploy.models import APIConfig

config = DeployConfig(
    type=DeployType.API,
    api=APIConfig(host="127.0.0.1", port=8005, workers=1)
)

deploy = Deploy(config, "agents.yaml")
result = deploy.deploy()

print(f"URL: {result.url}")

Deploy Methods

Method	Description
deploy(background=False)	Execute deployment
plan()	Generate deployment plan without executing
status()	Get current deployment status
doctor()	Run health checks
destroy(force=False)	Destroy/delete deployment

Troubleshooting

Issue	Fix
No deploy section	Run praisonai deploy init
Invalid config	Run praisonai deploy validate
Missing deps	Run praisonai deploy doctor
Deploy failed	Check praisonai deploy status
Port in use	Change port in agents.yaml
Missing API key	export OPENAI_API_KEY="your-key"
Docker not running	Start Docker daemon
AWS credentials	export AWS_ACCESS_KEY_ID=...
GCP credentials	gcloud auth login

Related

• API Deploy - Deploy as local API server
• Docker Deploy - Deploy to Docker
• AWS Deploy - Deploy to AWS ECS/Fargate
• GCP Deploy - Deploy to Google Cloud Run