Scheduler CLI

# Schedule an agent using agents.yaml
praisonai schedule agents.yaml

pip install praisonai praisonaiagents
export OPENAI_API_KEY=your_key_here

framework: praisonai

agents:
  - name: "AI News Monitor"
    role: "Technology News Analyst"
    goal: "Monitor and summarize AI news"
    instructions: "Search for latest AI developments"
    tools:
      - search_tool
    verbose: true

task: "Search for latest AI news and provide top 3 stories"

schedule:
  interval: "hourly"
  max_retries: 3
  run_immediately: true

# Use agents.yaml in current directory
praisonai schedule

# Or specify path
praisonai schedule path/to/agents.yaml

# Override interval from CLI
praisonai schedule --interval "*/30m"

# Override max retries
praisonai schedule --max-retries 5

framework: praisonai

agents:
  - name: "AI News Monitor"
    role: "Technology News Analyst"
    instructions: "Search and summarize latest AI news"
    tools:
      - search_tool

task: "Search for latest AI news and provide top 3 stories"

schedule:
  interval: "hourly"
  max_retries: 3
  run_immediately: true

praisonai schedule agents.yaml

framework: praisonai

agents:
  - name: "Data Collector"
    role: "Data Analyst"
    instructions: "Collect and analyze market data"
    tools:
      - search_tool

task: "Collect latest market data and identify trends"

schedule:
  interval: "*/30m"
  max_retries: 5
  run_immediately: false

# Override to run every 15 minutes instead
praisonai schedule agents.yaml --interval "*/15m"

# Test with 10-second interval
praisonai schedule agents.yaml --interval "*/10s" --verbose

from praisonai.scheduler import AgentScheduler

# Load from YAML
scheduler = AgentScheduler.from_yaml("agents.yaml")

# Start with YAML config
scheduler.start_from_yaml_config()

# Or override settings
scheduler = AgentScheduler.from_yaml(
    "agents.yaml",
    interval_override="*/15m",
    max_retries_override=5
)
scheduler.start_from_yaml_config()

# Keep running
try:
    while scheduler.is_running:
        import time
        time.sleep(1)
except KeyboardInterrupt:
    scheduler.stop()
    print(scheduler.get_stats())

from praisonaiagents import Agent
from praisonai.scheduler import AgentScheduler

# Create agent
agent = Agent(
    name="NewsChecker",
    instructions="Check latest AI news",
    tools=[search_tool]
)

# Create scheduler
scheduler = AgentScheduler(
    agent=agent,
    task="Search for latest AI news"
)

# Start (runs every hour)
scheduler.start("hourly", max_retries=3, run_immediately=True)

# Keep running
try:
    while scheduler.is_running:
        import time
        time.sleep(1)
except KeyboardInterrupt:
    scheduler.stop()
    print(scheduler.get_stats())

🤖 Starting 24/7 AI News Checker Agent
============================================================
Agent: AI News Monitor
Task: Search for latest AI news
Schedule: Every 1 hour
============================================================

⏰ Starting scheduler... (Press Ctrl+C to stop)

[2025-12-20 19:00:00] Starting scheduled agent execution
[2025-12-20 19:00:05] Agent execution successful
[2025-12-20 19:00:05] Next execution in 3600 seconds (1.0 hours)

# On stop (Ctrl+C)
🛑 Stopping scheduler...

📊 Final Statistics:
  Total Executions: 5
  Successful: 5
  Failed: 0
  Success Rate: 100.0%

✅ Agent stopped successfully