AgentTeam Re-runs

Call team.start() again on the same AgentTeam for a fresh run

Next

Build an AgentTeam once and call start() as many times as you like — each call is a fresh run.

Quick Start

1. Run the same team twice

   from praisonaiagents import Agent, AgentTeam, Task
   
   writer = Agent(name="Writer", instructions="Summarise the ticket")
   task = Task(description="Summarise the ticket", agent=writer)
   team = AgentTeam(agents=[writer], tasks=[task])
   
   team.start("Ticket A")   # runs the task against Ticket A
   team.start("Ticket B")   # runs it again against Ticket B — no stale output

   The second call re-executes every task, and task.context only holds the latest input (["Ticket B"]). Previously the second call returned the first run’s output.

2. Keep your own task variables

   task.description = "Summarise {{ticket}}"
   task.variables = {"ticket": "T-1"}
   
   team.start()
   team.start()  # task.variables is still {"ticket": "T-1"}

3. Change team variables between runs

   task.variables = {}  # let the team's variables flow into the task
   
   team.variables = {"ticket": "T-1"}
   team.start()                         # tasks receive {"ticket": "T-1"}
   team.variables = {"ticket": "T-2"}
   team.start()                         # tasks receive {"ticket": "T-2"} on this run

   The next start() after a start_for_each(...) batch also picks up the current team.variables.

How It Works

A start() after a finished run resets task state first; a start() after restore_session_state() resumes instead.

team.start("Ticket A")
team.save_session_state("ticket-run")

# ... later, in a new process, with the same team rebuilt ...
team.restore_session_state("ticket-run")
team.start()             # resume — nothing re-runs, task.status is still "completed"
team.start("Ticket B")   # the next fresh start reruns

astart() follows the same rules.

Best Practices

Related