Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
members | List[Union[Agent, Team]] | - | List of agents or teams that make up this team |
id | Optional[str] | None | Team UUID (autogenerated if not set) |
model | Optional[Model] | None | Model to use for the team |
name | Optional[str] | None | Name of the team |
role | Optional[str] | None | Role of the team within its parent team |
respond_directly | bool | False | If True, the team leader won’t process responses from the members and instead will return them directly |
determine_input_for_members | bool | True | Set to False if you want to send the run input directly to the member agents |
delegate_task_to_all_members | bool | False | If True, the team leader will delegate tasks to all members automatically, without any decision from the team leader |
user_id | Optional[str] | None | Default user ID for this team |
session_id | Optional[str] | None | Default session ID for this team (autogenerated if not set) |
session_state | Optional[Dict[str, Any]] | None | Session state (stored in the database to persist across runs) |
add_session_state_to_context | bool | False | Set to True to add the session_state to the context |
enable_agentic_state | bool | False | Set to True to give the team tools to update the session_state dynamically |
overwrite_db_session_state | bool | False | Set to True to overwrite the session state in the database with the session state provided in the run |
cache_session | bool | False | If True, cache the current Team session in memory for faster access |
resolve_in_context | bool | True | If True, resolve the session_state, dependencies, and metadata in the user and system messages |
description | Optional[str] | None | A description of the Team that is added to the start of the system message |
instructions | Optional[Union[str, List[str], Callable]] | None | List of instructions for the team |
expected_output | Optional[str] | None | Provide the expected output from the Team |
additional_context | Optional[str] | None | Additional context added to the end of the system message |
markdown | bool | False | If markdown=true, add instructions to format the output using markdown |
add_datetime_to_context | bool | False | If True, add the current datetime to the instructions to give the team a sense of time |
add_location_to_context | bool | False | If True, add the current location to the instructions to give the team a sense of location |
timezone_identifier | Optional[str] | None | Allows for custom timezone for datetime instructions following the TZ Database format |
add_name_to_context | bool | False | If True, add the team name to the instructions |
add_member_tools_to_context | bool | True | If True, add the tools available to team members to the context |
system_message | Optional[Union[str, Callable, Message]] | None | Provide the system message as a string or function |
system_message_role | str | "system" | Role for the system message |
additional_input | Optional[List[Union[str, Dict, BaseModel, Message]]] | None | A list of extra messages added after the system message and before the user message |
db | Optional[BaseDb] | None | Database to use for this team |
memory_manager | Optional[MemoryManager] | None | Memory manager to use for this team |
dependencies | Optional[Dict[str, Any]] | None | User provided dependencies |
add_dependencies_to_context | bool | False | If True, add the dependencies to the user prompt |
knowledge | Optional[Knowledge] | None | Add a knowledge base to the team |
knowledge_filters | Optional[Dict[str, Any]] | None | Filters to apply to knowledge base searches |
enable_agentic_knowledge_filters | Optional[bool] | False | Let the team choose the knowledge filters |
update_knowledge | bool | False | Add a tool that allows the Team to update Knowledge |
add_knowledge_to_context | bool | False | If True, add references to the user prompt |
knowledge_retriever | Optional[Callable[..., Optional[List[Union[Dict, str]]]]] | None | Retrieval function to get references |
references_format | Literal["json", "yaml"] | "json" | Format of the references |
share_member_interactions | bool | False | If True, send all member interactions (request/response) during the current run to members that have been delegated a task to |
get_member_information_tool | bool | False | If True, add a tool to get information about the team members |
search_knowledge | bool | True | Add a tool to search the knowledge base (aka Agentic RAG) |
send_media_to_model | bool | True | If False, media (images, videos, audio, files) is only available to tools and not sent to the LLM |
store_media | bool | True | If True, store media in the database |
store_tool_messages | bool | True | If True, store tool results in the database |
store_history_messages | bool | True | If True, store history messages in the database |
tools | Optional[List[Union[Toolkit, Callable, Function, Dict]]] | None | A list of tools provided to the Model |
tool_choice | Optional[Union[str, Dict[str, Any]]] | None | Controls which (if any) tool is called by the team model |
tool_call_limit | Optional[int] | None | Maximum number of tool calls allowed |
max_tool_calls_from_history | Optional[int] | None | Maximum number of tool calls from history to keep in context. If None, all tool calls from history are included. If set to N, only the last N tool calls from history are added to the context for memory management |
tool_hooks | Optional[List[Callable]] | None | A list of hooks to be called before and after the tool call |
pre_hooks | Optional[Union[List[Callable[..., Any]], List[BaseGuardrail]]] | None | Functions called right after team session is loaded, before processing starts |
post_hooks | Optional[Union[List[Callable[..., Any]], List[BaseGuardrail]]] | None | Functions called after output is generated but before the response is returned |
input_schema | Optional[Type[BaseModel]] | None | Input schema for validating input |
output_schema | Optional[Type[BaseModel]] | None | Output schema for the team response |
parser_model | Optional[Model] | None | Provide a secondary model to parse the response from the primary model |
parser_model_prompt | Optional[str] | None | Provide a prompt for the parser model |
output_model | Optional[Model] | None | Provide an output model to parse the response from the team |
output_model_prompt | Optional[str] | None | Provide a prompt for the output model |
use_json_mode | bool | False | If output_schema is set, sets the response mode of the model |
parse_response | bool | True | If True, parse the response |
enable_agentic_memory | bool | False | Enable the team to manage memories of the user |
enable_user_memories | bool | False | If True, the team creates/updates user memories at the end of runs |
add_memories_to_context | Optional[bool] | None | If True, the team adds a reference to the user memories in the response |
enable_session_summaries | bool | False | If True, the team creates/updates session summaries at the end of runs |
session_summary_manager | Optional[SessionSummaryManager] | None | Session summary manager |
add_session_summary_to_context | Optional[bool] | None | If True, the team adds session summaries to the context |
add_history_to_context | bool | False | Add messages from the chat history to the messages list sent to the Model. This only applies to the team leader, not the members. |
num_history_runs | int | 3 | Number of historical runs to include in the messages |
add_team_history_to_members | bool | False | If True, send the team-level history to the members, not the agent-level history |
num_team_history_runs | int | 3 | Number of historical runs to include in the messages sent to the members |
search_session_history | Optional[bool] | False | If True, adds a tool to allow searching through previous sessions |
num_history_sessions | Optional[int] | None | Number of past sessions to include in the search |
read_team_history | bool | False | If True, adds a tool to allow the team to read the team history (deprecated and will be removed in a future version) |
read_chat_history | bool | False | If True, adds a tool to allow the team to read the chat history |
metadata | Optional[Dict[str, Any]] | None | Metadata stored with this team |
reasoning | bool | False | Enable reasoning for the team |
reasoning_model | Optional[Model] | None | Model to use for reasoning |
reasoning_agent | Optional[Agent] | None | Agent to use for reasoning |
reasoning_min_steps | int | 1 | Minimum number of reasoning steps |
reasoning_max_steps | int | 10 | Maximum number of reasoning steps |
stream | Optional[bool] | None | Stream the response from the Team |
stream_events | bool | False | Stream the intermediate steps from the Team |
stream_member_events | bool | True | Stream the member events from the Team members |
store_events | bool | False | Store the events from the Team |
events_to_skip | Optional[List[Union[RunEvent, TeamRunEvent]]] | None | List of events to skip from the Team |
store_member_responses | bool | False | Store member agent runs inside the team’s RunOutput |
debug_mode | bool | False | Enable debug logs |
debug_level | Literal[1, 2] | 1 | Debug level: 1 = basic, 2 = detailed |
show_members_responses | bool | False | Enable member logs - Sets the debug_mode for team and members |
retries | int | 0 | Number of retries to attempt |
delay_between_retries | int | 1 | Delay between retries (in seconds) |
exponential_backoff | bool | False | Exponential backoff: if True, the delay between retries is doubled each time |
telemetry | bool | True | Log minimal telemetry for analytics |
Functions
run
Run the team.
Parameters:
input(Union[str, List, Dict, Message, BaseModel, List[Message]]): The input to send to the teamstream(Optional[bool]): Whether to stream the responsestream_events(Optional[bool]): Whether to stream intermediate stepssession_id(Optional[str]): Session ID to usesession_state(Optional[Dict[str, Any]]): Session state to use. By default, merged with the session state in the db.user_id(Optional[str]): User ID to useretries(Optional[int]): Number of retries to attemptaudio(Optional[Sequence[Audio]]): Audio files to includeimages(Optional[Sequence[Image]]): Image files to includevideos(Optional[Sequence[Video]]): Video files to includefiles(Optional[Sequence[File]]): Files to includeknowledge_filters(Optional[Dict[str, Any]]): Knowledge filters to applyadd_history_to_context(Optional[bool]): Whether to add history to contextadd_dependencies_to_context(Optional[bool]): Whether to add dependencies to contextadd_session_state_to_context(Optional[bool]): Whether to add session state to contextdependencies(Optional[Dict[str, Any]]): Dependencies to use for this runmetadata(Optional[Dict[str, Any]]): Metadata to use for this rundebug_mode(Optional[bool]): Whether to enable debug modeyield_run_response(bool): Whether to yield the run response (only for streaming)
Union[TeamRunOutput, Iterator[Union[RunOutputEvent, TeamRunOutputEvent]]]: Either a TeamRunOutput or an iterator of events, depending on thestreamparameter
arun
Run the team asynchronously.
Parameters:
input(Union[str, List, Dict, Message, BaseModel, List[Message]]): The input to send to the teamstream(Optional[bool]): Whether to stream the responsestream_events(Optional[bool]): Whether to stream intermediate stepssession_id(Optional[str]): Session ID to usesession_state(Optional[Dict[str, Any]]): Session state to use. By default, merged with the session state in the db.user_id(Optional[str]): User ID to useretries(Optional[int]): Number of retries to attemptaudio(Optional[Sequence[Audio]]): Audio files to includeimages(Optional[Sequence[Image]]): Image files to includevideos(Optional[Sequence[Video]]): Video files to includefiles(Optional[Sequence[File]]): Files to includeknowledge_filters(Optional[Dict[str, Any]]): Knowledge filters to applyadd_history_to_context(Optional[bool]): Whether to add history to contextadd_dependencies_to_context(Optional[bool]): Whether to add dependencies to contextadd_session_state_to_context(Optional[bool]): Whether to add session state to contextdependencies(Optional[Dict[str, Any]]): Dependencies to use for this runmetadata(Optional[Dict[str, Any]]): Metadata to use for this rundebug_mode(Optional[bool]): Whether to enable debug modeyield_run_response(bool): Whether to yield the run response (only for streaming)
Union[TeamRunOutput, AsyncIterator[Union[RunOutputEvent, TeamRunOutputEvent]]]: Either a TeamRunOutput or an async iterator of events, depending on thestreamparameter
print_response
Run the team and print the response.
Parameters:
input(Union[List, Dict, str, Message, BaseModel, List[Message]]): The input to send to the teamstream(Optional[bool]): Whether to stream the responsestream_events(Optional[bool]): Whether to stream intermediate stepssession_id(Optional[str]): Session ID to usesession_state(Optional[Dict[str, Any]]): Session state to use. By default, merged with the session state in the db.user_id(Optional[str]): User ID to useshow_message(bool): Whether to show the message (default: True)show_reasoning(bool): Whether to show reasoning (default: True)show_full_reasoning(bool): Whether to show full reasoning (default: False)console(Optional[Any]): Console to use for outputtags_to_include_in_markdown(Optional[Set[str]]): Tags to include in markdown contentaudio(Optional[Sequence[Audio]]): Audio files to includeimages(Optional[Sequence[Image]]): Image files to includevideos(Optional[Sequence[Video]]): Video files to includefiles(Optional[Sequence[File]]): Files to includemarkdown(Optional[bool]): Whether to format output as markdownknowledge_filters(Optional[Dict[str, Any]]): Knowledge filters to applyadd_history_to_context(Optional[bool]): Whether to add history to contextdependencies(Optional[Dict[str, Any]]): Dependencies to use for this runadd_dependencies_to_context(Optional[bool]): Whether to add dependencies to contextadd_session_state_to_context(Optional[bool]): Whether to add session state to contextmetadata(Optional[Dict[str, Any]]): Metadata to use for this rundebug_mode(Optional[bool]): Whether to enable debug mode
aprint_response
Run the team and print the response asynchronously.
Parameters:
input(Union[List, Dict, str, Message, BaseModel, List[Message]]): The input to send to the teamstream(Optional[bool]): Whether to stream the responsestream_events(Optional[bool]): Whether to stream intermediate stepssession_id(Optional[str]): Session ID to usesession_state(Optional[Dict[str, Any]]): Session state to use. By default, merged with the session state in the db.user_id(Optional[str]): User ID to useshow_message(bool): Whether to show the message (default: True)show_reasoning(bool): Whether to show reasoning (default: True)show_full_reasoning(bool): Whether to show full reasoning (default: False)console(Optional[Any]): Console to use for outputtags_to_include_in_markdown(Optional[Set[str]]): Tags to include in markdown contentaudio(Optional[Sequence[Audio]]): Audio files to includeimages(Optional[Sequence[Image]]): Image files to includevideos(Optional[Sequence[Video]]): Video files to includefiles(Optional[Sequence[File]]): Files to includemarkdown(Optional[bool]): Whether to format output as markdownknowledge_filters(Optional[Dict[str, Any]]): Knowledge filters to applyadd_history_to_context(Optional[bool]): Whether to add history to contextdependencies(Optional[Dict[str, Any]]): Dependencies to use for this runadd_dependencies_to_context(Optional[bool]): Whether to add dependencies to contextadd_session_state_to_context(Optional[bool]): Whether to add session state to contextmetadata(Optional[Dict[str, Any]]): Metadata to use for this rundebug_mode(Optional[bool]): Whether to enable debug mode
cli_app
Run an interactive command-line interface to interact with the team.
Parameters:
input(Optional[str]): The input to send to the teamuser(str): Name for the user (default: “User”)emoji(str): Emoji for the user (default: “:sunglasses:”)stream(bool): Whether to stream the response (default: False)markdown(bool): Whether to format output as markdown (default: False)exit_on(Optional[List[str]]): List of commands to exit the CLI**kwargs: Additional keyword arguments
acli_app
Run an interactive command-line interface to interact with the team asynchronously.
Parameters:
input(Optional[str]): The input to send to the teamsession_id(Optional[str]): Session ID to useuser_id(Optional[str]): User ID to useuser(str): Name for the user (default: “User”)emoji(str): Emoji for the user (default: “:sunglasses:”)stream(bool): Whether to stream the response (default: False)markdown(bool): Whether to format output as markdown (default: False)exit_on(Optional[List[str]]): List of commands to exit the CLI**kwargs: Additional keyword arguments
get_session_summary
Get the session summary for the given session ID.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
- Session summary for the given session
get_user_memories
Get the user memories for the given user ID.
Parameters:
user_id(Optional[str]): User ID to use (if not provided, the current user is used)
Optional[List[UserMemory]]: The user memories
add_tool
Add a tool to the team.
Parameters:
tool(Union[Toolkit, Callable, Function, Dict]): The tool to add
set_tools
Replace the tools of the team.
Parameters:
tools(List[Union[Toolkit, Callable, Function, Dict]]): The tools to set
cancel_run
Cancel a run by run ID.
Parameters:
run_id(str): The run ID to cancel
bool: True if the run was successfully cancelled
get_run_output
Get the run output for the given run ID.
Parameters:
run_id(str): The run IDsession_id(Optional[str]): Session ID to use
Optional[Union[TeamRunOutput, RunOutput]]: The run output
get_last_run_output
Get the last run output for the session.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
Optional[TeamRunOutput]: The last run output
get_session
Get the session for the given session ID.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
Optional[TeamSession]: The team session
save_session
Save a session to the database.
Parameters:
session(TeamSession): The session to save
asave_session
Save a session to the database asynchronously.
Parameters:
session(TeamSession): The session to save
delete_session
Delete a session.
Parameters:
session_id(str): Session ID to delete
get_session_name
Get the session name for the given session ID.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
str: The session name
set_session_name
Set the session name.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)autogenerate(bool): Whether to autogenerate the namesession_name(Optional[str]): The name to set
TeamSession: The updated session
get_session_state
Get the session state for the given session ID.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
Dict[str, Any]: The session state
update_session_state
Update the session state for the given session ID.
Parameters:
session_id(str): Session ID to usesession_state_updates(Dict[str, Any]): The session state keys and values to update. Overwrites the existing session state.
Dict[str, Any]: The updated session state
get_session_metrics
Get the session metrics for the given session ID.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
Optional[Metrics]: The session metrics
get_chat_history
Get the chat history for the given session ID.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
List[Message]: The chat history
get_messages_for_session
Get the messages for the given session ID.
Parameters:
session_id(Optional[str]): Session ID to use (if not provided, the current session is used)
List[Message]: The messages for the session