Managed CLI

from praisonaiagents import Agent

agent = Agent(name="managed-agent", instructions="Use managed CLI commands for automation.")
agent.start("Run the managed deploy command for production.")

# List recent sessions
praisonai managed sessions list agent_01AbCdEf --limit 5

# Get detailed session info
praisonai managed sessions get sesn_01AbCdEf

# Resume previous conversation
praisonai managed sessions resume sesn_01AbCdEf "What did we discuss?"

# Clean up old sessions
praisonai managed sessions delete sesn_01AbCdEf --yes

# List your agents
praisonai managed agents list

# View agent details
praisonai managed agents get agent_01AbCdEf

# Update agent configuration  
praisonai managed agents update agent_01AbCdEf --system "You are a data analyst." --version 2

# Remove unused agent
praisonai managed agents delete agent_01AbCdEf --yes

# List environments
praisonai managed envs list

# Install packages
praisonai managed envs update env_01AbCdEf --packages "requests,beautifulsoup4"

# Change networking mode
praisonai managed envs update env_01AbCdEf --networking limited

# Clean up environment
praisonai managed envs delete env_01AbCdEf --yes

INSTANCE ID                PROVIDER   STATUS     UPTIME   IMAGE
------------------------------------------------------------------------------
docker_5afaa3bfa704        docker     running    42s      python:3.12-slim

1 running. Stop with: praisonai managed stop <instance-id>

# Save current resource IDs
praisonai managed ids save agent_01AbCdEf env_01AbCdEf sesn_01AbCdEf --version 1

# View saved IDs
praisonai managed ids show

# Resume with saved state
praisonai managed ids restore "What was I working on?"

# Primary (checked first)
export ANTHROPIC_API_KEY=sk-ant-api-...

# Fallback
export CLAUDE_API_KEY=sk-ant-api-...

pip install 'anthropic>=0.94.0'

#!/bin/bash
# cleanup-resources.sh

AGENT_ID="agent_01AbCdEf"

# List and delete old sessions
echo "Cleaning sessions for $AGENT_ID..."
praisonai managed sessions list $AGENT_ID --limit 20 | tail -n +3 | while read id status title; do
  if [[ $status == "completed" ]]; then
    praisonai managed sessions delete $id --yes
    echo "Deleted session: $id"
  fi
done

# List and delete unused environments  
echo "Cleaning environments..."
praisonai managed envs list | tail -n +3 | while read id status name; do
  if [[ $status == "inactive" ]]; then
    praisonai managed envs delete $id --yes
    echo "Deleted environment: $id"
  fi
done

# Update development environment
ENV_ID="env_01AbCdEf"
praisonai managed envs update $ENV_ID \
  --packages "pandas,numpy,matplotlib,jupyter" \
  --networking full

# Verify installation
praisonai managed envs get $ENV_ID

# Backup current session state
praisonai managed ids save agent_01AbCdEf env_01AbCdEf sesn_01AbCdEf \
  --version 1 --file backup-$(date +%Y%m%d).json

# Show what was backed up
praisonai managed ids show --file backup-$(date +%Y%m%d).json

# See what is still running
praisonai managed ps

# Reclaim one by ID
praisonai managed stop docker_5afaa3bfa704

# Or reclaim everything at once
praisonai managed stop --all