from praisonai import recipe

# Submit recipe as background task
task = recipe.run_background(
    "my-recipe",
    input={"query": "What is AI?"},
    config={"max_tokens": 1000},
    session_id="session_123",
    timeout_sec=300,
)

print(f"Task ID: {task.task_id}")
print(f"Session: {task.session_id}")

# Check status
status = await task.status()
print(f"Status: {status}")

# Wait for completion
result = await task.wait(timeout=600)
print(f"Result: {result}")

# Cancel if needed
await task.cancel()

from praisonai import recipe

async def handler():
    task = await recipe.arun_background(
        "my-recipe",
        input={"query": "What is AI?"},
        config={"max_tokens": 1000},
    )
    return await task.wait()

from praisonaiagents import Agent
from praisonaiagents.background import BackgroundRunner

# Create agent
agent = Agent(
    instructions="You are a helpful assistant",
    
)

# Create background runner
runner = BackgroundRunner(max_concurrent_tasks=5)

# Submit task
task = await runner.submit(
    lambda: agent.start("Analyze this data"),
    name="analysis-task",
    timeout=300,
)

# Wait for result
result = await runner.wait_for_task(task.id)

runtime:
  background:
    enabled: true
    max_concurrent: 3
    cleanup_delay_sec: 3600

from praisonai import recipe
from praisonai.recipe import RecipeError

try:
    task = recipe.run_background("my-recipe", input="test")
    result = await task.wait(timeout=60)
except RecipeError as e:
    print(f"Recipe error: {e}")
except TimeoutError:
    print("Task timed out")
    await task.cancel()