AgentTeam
Defined in the agents module.AI Agent Multi-agent coordinator that manages and delegates work to multiple agents. AgentTeam orchestrates the execution of tasks across multiple Agent instances, supporting sequential, parallel, and hierarchical execution patterns.
Constructor
Any
required
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default:"'sequential'"
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Optional[str]
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default:"False"
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default:"False"
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default:"False"
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Methods
stream_emitter()
Aggregate
StreamEventEmitter fanning in member agents’ events.add_task()
Instance method.
clean_json_output()
Clean JSON output while preserving the legacy team method.
context_manager()
ContextManager instance for unified context management across all agents.
default_completion_checker()
Instance method.
aexecute_task()
Async version of execute_task method - now using DRY helpers
arun_task()
Async version of run_task method
arun_all_tasks()
Async version of run_all_tasks method
astart()
Async version of start method.
save_output_to_file()
Instance method.
execute_task()
Synchronous version of execute_task method - now using DRY helpers
run_task()
Synchronous version of run_task method
run_all_tasks()
Synchronous version of run_all_tasks method
get_task_status()
Instance method.
get_all_tasks_status()
Instance method.
get_task_result()
Instance method.
get_task_details()
Instance method.
get_agent_details()
Instance method.
where_does_it_run()
Plain-English answer to ‘where does my code actually run?’.
start()
Start agent execution with verbose output (beginner-friendly).
run()
Run agents silently (production use).
start_for_each()
Run this team once per input dict, interpolating
key placeholders.astart_for_each()
Async twin of :meth:
start_for_each (sequential per-item execution).set_state()
Set a state value
get_state()
Get a state value
update_state()
Update multiple state values
clear_state()
Clear all state values
has_state()
Check if a state key exists
get_all_state()
Get a copy of the entire state dictionary
delete_state()
Delete a state key if it exists. Returns True if deleted, False if key didn’t exist.
increment_state()
Increment a numeric state value. Creates the key with default if it doesn’t exist.
append_to_state()
Append a value to a list state. Creates the list if it doesn’t exist.
save_session_state()
Persist team session state for deterministic resume (Issue #3635).
restore_session_state()
Restore team session state for deterministic resume. Returns True if restored.
get_token_usage_summary()
Get a summary of token usage across all agents and tasks.
get_detailed_token_report()
Get a detailed token usage report.
display_token_usage()
Display token usage in a formatted table.
launch()
Launch all agents as a single API endpoint (HTTP) or an MCP server.
current_plan()
Get the current plan.
todo_list()
Get the current todo list.
get_plan_markdown()
Get the current plan as markdown.
get_todo_markdown()
Get the current todo list as markdown.
update_plan_step_status()
Update the status of a plan step.
close()
Close all agent resources and cleanup connections.
spawn_sub_agent()
Spawn a sub-agent for non-blocking execution (sync version).
announce_completion()
Announce sub-agent completion via event bus (sync version).
get_spawned_agents()
Get list of currently spawned sub-agents.
wait_for_completions()
Wait for sub-agent completions (optional blocking method).
aspawn_sub_agent()
Async version of spawn_sub_agent using asyncio primitives.
aannounce_completion()
Async version of announce_completion.
await_for_completions()
Async, event-driven version of wait_for_completions.
Usage
Notes
The class was renamed fromAgentManager to AgentTeam in v1.0.
AgentManager and Agents remain as silent aliases for backward compatibility.
Source
View on GitHub
praisonaiagents/agents/agents.py at line 620