Terminal Automation forAI Agents & LLMs

from termitty import TermittySession
from termitty.conditions import OutputContains, PromptReady
import openai  # Your AI of choice

class AIDeploymentAgent:
    def __init__(self, ai_client):
        self.ai = ai_client
        self.session = TermittySession()
    
    def deploy_with_ai_guidance(self, server, app_name):
        # AI agent connects to production server
        self.session.connect(server, username='deploy', key_file='~/.ssh/id_rsa')
        
        # Get current state for AI context
        state = self.session.state.terminal.get_structured_state()
        
        # AI decides deployment strategy based on server state
        strategy = self.ai.analyze(f"""
            Server state: {state}
            Task: Deploy {app_name}
            Choose strategy: blue-green, rolling, or canary
        """)
        
        # Execute deployment with smart waiting
        self.session.execute(f'./deploy.sh --strategy={strategy}', wait=False)
        
        # AI monitors deployment progress
        while not self.session.wait_until(OutputContains('Deployment complete'), timeout=5):
            # AI can intervene if something goes wrong
            current_output = self.session.state.terminal.get_screen_text()
            if 'error' in current_output.lower():
                recovery_action = self.ai.suggest_recovery(current_output)
                self.session.execute(recovery_action)
        
        # Verify deployment health
        health_check = self.session.execute('curl -s localhost/health')
        return self.ai.verify_deployment(health_check.output)