> ## Documentation Index > Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Team > Constructor parameters and methods for the Team class. ## Parameters | Parameter | Type | Default | Description | | - | - | - | - | | `members` | `Union[List[Union[Agent, Team]], Callable[..., List]]` | - | List of agents or teams that make up this team, or a callable factory that returns the list | | `id` | `Optional[str]` | `None` | Team UUID (autogenerated if not set) | | `model` | `Optional[Union[Model, str]]` | `None` | Model to use for the team. Can be a Model object or a model string (`provider:model_id`) | | `fallback_models` | `Optional[List[Union[Model, str]]]` | `None` | Models tried in order when the primary model fails. Ignored if `fallback_config` is set | | `fallback_config` | `Optional[FallbackConfig]` | `None` | Fallback configuration for model failures, with support for error-specific routing. Takes precedence over `fallback_models` | | `name` | `Optional[str]` | `None` | Name of the team | | `role` | `Optional[str]` | `None` | Role of the team within its parent team | | `mode` | `Optional[TeamMode]` | `None` | Team coordination mode (`coordinate`, `route`, `broadcast`, `tasks`). When set, overrides delegation flags to match the mode | | `respond_directly` | `bool` | `False` | If True, the team leader won't process responses from the members and instead will return them directly. If `delegate_to_all_members=True` is also set, this is silently disabled with a warning | | `determine_input_for_members` | `bool` | `True` | Set to False if you want to send the run input directly to the member agents | | `delegate_to_all_members` | `bool` | `False` | If True, the team leader will delegate tasks to all members automatically, without any decision from the team leader. Takes precedence over `respond_directly=True` | | `max_iterations` | `int` | `10` | Maximum number of task-loop iterations when `mode=TeamMode.tasks` | | `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 | | `use_instruction_tags` | `bool` | `False` | If True, wrap instructions in `` tags | | `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 | | `datetime_format` | `Optional[str]` | `None` | Custom format string for the datetime added to context (e.g. `"%Y-%m-%d %H:%M:%S"`). If None, the default datetime string representation is used | | `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` | `False` | 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 | | `introduction` | `Optional[str]` | `None` | Introduction message for the Team | | `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[Union[BaseDb, AsyncBaseDb]]` | `None` | Database to use for this team | | `checkpoint` | `Optional[Literal["runs", "tool-batch", "tools"]]` | `None` | When to persist run state to the database. `"runs"` writes only at terminal states; `"tool-batch"` also writes after each model turn. `None` falls back to the AgentOS-level setting, else `"runs"`. `"tools"` is reserved for 3.0 | | `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[Union[KnowledgeProtocol, Callable[..., KnowledgeProtocol]]]` | `None` | Add a knowledge base to the team | | `knowledge_filters` | `Optional[Union[Dict[str, Any], List[FilterExpr]]]` | `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 | | `skills` | `Optional[Skills]` | `None` | Skills for this team. Loads structured instructions, reference docs, and scripts, and gives the team tools to access them | | `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) | | `add_search_knowledge_instructions` | `bool` | `True` | If True, add search\_knowledge instructions to the system prompt | | `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 | | `media_storage` | `Optional[Union[MediaStorage, AsyncMediaStorage]]` | `None` | Offload media to external storage and keep only a reference in the database | | `store_tool_messages` | `bool` | `True` | If True, store tool results in the database | | `store_history_messages` | `bool` | `False` | If True, store history messages in the database | | `tools` | `Optional[Union[List[Union[Toolkit, Callable, Function, Dict]], Callable[..., List]]]` | `None` | A list of tools provided to the Model, or a callable factory that returns the list | | `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[List[Union[Callable[..., Any], BaseGuardrail, BaseEval]]]` | `None` | Functions called right after team session is loaded, before processing starts | | `post_hooks` | `Optional[List[Union[Callable[..., Any], BaseGuardrail, BaseEval]]]` | `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[Union[Type[BaseModel], Dict[str, Any]]]` | `None` | Output schema for the team response. Can be a Pydantic model or a JSON schema | | `parser_model` | `Optional[Union[Model, str]]` | `None` | Provide a secondary model to parse the response from the primary model. Can be a Model object or a model string (`provider:model_id`) | | `parser_model_prompt` | `Optional[str]` | `None` | Provide a prompt for the parser model | | `output_model` | `Optional[Union[Model, str]]` | `None` | Provide an output model to parse the response from the team. Can be a Model object or a model string (`provider:model_id`) | | `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 | | `update_memory_on_run` | `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 | | `learning` | `Optional[Union[bool, LearningMachine]]` | `None` | LearningMachine for unified learning capabilities | | `add_learnings_to_context` | `bool` | `True` | Add learnings context to system prompt | | `compress_tool_results` | `bool` | `False` | If True, compress tool call results to save context space | | `compression_manager` | `Optional[CompressionManager]` | `None` | Custom compression manager for compressing tool call results | | `offload_tool_results` | `Optional[Union[bool, ResultStore]]` | `None` | Offload long tool results and member answers. `True` uses the defaults, a `ResultStore` customizes them, `None` allows parent-team inheritance, and `False` disables inherited offloading. | | `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` | `Optional[int]` | `None` | Number of historical runs to include in the messages. | | `num_history_messages` | `Optional[int]` | `None` | Number of historical messages to include messages list sent to the Model. | | `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_past_sessions` | `Optional[bool]` | `False` | Add tools that let the team search past sessions and read their full conversations | | `num_past_sessions_to_search` | `Optional[int]` | `None` | Maximum number of past sessions returned by the `search_past_sessions` tool. Defaults to 20 when unset | | `num_past_session_runs_in_search` | `Optional[int]` | `None` | Number of runs included in each session preview returned by the `search_past_sessions` tool. Defaults to 3 when unset | | `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_model` | `Optional[Union[Model, str]]` | `None` | Model to use for reasoning. Can be a Model object or a model string (`provider:model_id`) | | `reasoning_agent` | `Optional[Agent]` | `None` | Agent to use for reasoning | | `followups` | `bool` | `False` | If True, generate followup prompt suggestions after the main response and set them on the run output | | `num_followups` | `int` | `3` | Number of followup prompts to generate | | `followup_model` | `Optional[Union[Model, str]]` | `None` | Model used to generate followups. Defaults to the team's model | | `stream` | `Optional[bool]` | `None` | Stream the response from the Team | | `stream_events` | `Optional[bool]` | `None` | 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 when running the Team | | `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 | | `cache_callables` | `bool` | `True` | Cache callable factory results by key. Key resolution uses custom key, then `user_id`, then `session_id` | | `callable_tools_cache_key` | `Optional[Callable[..., Optional[str]]]` | `None` | Custom cache key function for tools callable factory. Overrides default key resolution | | `callable_knowledge_cache_key` | `Optional[Callable[..., Optional[str]]]` | `None` | Custom cache key function for knowledge callable factory. Overrides default key resolution | | `callable_members_cache_key` | `Optional[Callable[..., Optional[str]]]` | `None` | Custom cache key function for members callable factory. Overrides default key resolution | ## Functions ### `run` Run the team. **Parameters:** * `input` (Union\[str, List, Dict, Message, BaseModel, List\[Message]]): The input to send to the team * `stream` (Optional\[bool]): Whether to stream the response * `stream_events` (Optional\[bool]): Whether to stream intermediate steps * `session_id` (Optional\[str]): Session ID to use * `session_state` (Optional\[Dict\[str, Any]]): Session state to use. By default, merged with the session state in the db. * `run_context` (Optional\[RunContext]): Run context to use * `run_id` (Optional\[str]): Run ID to use * `user_id` (Optional\[str]): User ID to use * `audio` (Optional\[Sequence\[Audio]]): Audio files to include * `images` (Optional\[Sequence\[Image]]): Image files to include * `videos` (Optional\[Sequence\[Video]]): Video files to include * `files` (Optional\[Sequence\[File]]): Files to include * `knowledge_filters` (Optional\[Union\[Dict\[str, Any], List\[FilterExpr]]]): Knowledge filters to apply * `add_history_to_context` (Optional\[bool]): Whether to add history to context * `add_dependencies_to_context` (Optional\[bool]): Whether to add dependencies to context * `add_session_state_to_context` (Optional\[bool]): Whether to add session state to context * `dependencies` (Optional\[Dict\[str, Any]]): Dependencies to use for this run * `metadata` (Optional\[Dict\[str, Any]]): Metadata to use for this run * `output_schema` (Optional\[Union\[Type\[BaseModel], Dict\[str, Any]]]): Output schema to use for this run. Can be a Pydantic model or a JSON schema. * `debug_mode` (Optional\[bool]): Whether to enable debug mode * `yield_run_output` (bool): Whether to yield the run output (only for streaming) **Returns:** * `Union[TeamRunOutput, Iterator[Union[RunOutputEvent, TeamRunOutputEvent]]]`: Either a TeamRunOutput or an iterator of events, depending on the `stream` parameter ### `arun` Run the team asynchronously. **Parameters:** * `input` (Union\[str, List, Dict, Message, BaseModel, List\[Message]]): The input to send to the team * `stream` (Optional\[bool]): Whether to stream the response * `stream_events` (Optional\[bool]): Whether to stream intermediate steps * `session_id` (Optional\[str]): Session ID to use * `session_state` (Optional\[Dict\[str, Any]]): Session state to use. By default, merged with the session state in the db. * `run_id` (Optional\[str]): Run ID to use * `run_context` (Optional\[RunContext]): Run context to use * `user_id` (Optional\[str]): User ID to use * `audio` (Optional\[Sequence\[Audio]]): Audio files to include * `images` (Optional\[Sequence\[Image]]): Image files to include * `videos` (Optional\[Sequence\[Video]]): Video files to include * `files` (Optional\[Sequence\[File]]): Files to include * `knowledge_filters` (Optional\[Union\[Dict\[str, Any], List\[FilterExpr]]]): Knowledge filters to apply * `add_history_to_context` (Optional\[bool]): Whether to add history to context * `add_dependencies_to_context` (Optional\[bool]): Whether to add dependencies to context * `add_session_state_to_context` (Optional\[bool]): Whether to add session state to context * `dependencies` (Optional\[Dict\[str, Any]]): Dependencies to use for this run * `metadata` (Optional\[Dict\[str, Any]]): Metadata to use for this run * `output_schema` (Optional\[Union\[Type\[BaseModel], Dict\[str, Any]]]): Output schema to use for this run. Can be a Pydantic model or a JSON schema. * `debug_mode` (Optional\[bool]): Whether to enable debug mode * `yield_run_output` (bool): Whether to yield the run output (only for streaming) * `background` (bool): Whether to run the team in background mode. Requires `stream=False` and a configured database. **Returns:** * `Union[TeamRunOutput, AsyncIterator[Union[RunOutputEvent, TeamRunOutputEvent]]]`: Either a TeamRunOutput or an async iterator of events, depending on the `stream` parameter ### `continue_run` Continue a run. **Parameters:** * `run_response` (Optional\[TeamRunOutput]): The run response to continue * `run_id` (Optional\[str]): The run ID to continue * `requirements` (Optional\[List\[Any]]): Updated run requirements to resolve, e.g. tool approvals * `input` (Optional\[str]): Additional input to send when continuing the run * `continue_from` (Union\[int, Literal\["end", "last\_user"]]): Where to resume the run from. Defaults to `"end"` * `fork` (bool): If True, continue into a new forked run instead of updating the original * `regenerate` (bool): If True, regenerate the run instead of continuing it * `replace_original` (Optional\[bool]): Whether the new run replaces the original run in the session * `additional_instructions` (Optional\[str]): Extra instructions added for the continued run * `stream` (Optional\[bool]): Whether to stream the response * `stream_events` (Optional\[bool]): Whether to stream intermediate steps * `user_id` (Optional\[str]): User ID to use * `session_id` (Optional\[str]): Session ID to use * `run_context` (Optional\[RunContext]): Run context to use * `knowledge_filters` (Optional\[Union\[Dict\[str, Any], List\[FilterExpr]]]): Knowledge filters to apply * `dependencies` (Optional\[Dict\[str, Any]]): Dependencies to use for this run * `metadata` (Optional\[Dict\[str, Any]]): Metadata to use for this run * `debug_mode` (Optional\[bool]): Whether to enable debug mode * `yield_run_output` (bool): Whether to yield the run output (only for streaming) **Returns:** * `Union[TeamRunOutput, Iterator[Union[TeamRunOutputEvent, RunOutputEvent, TeamRunOutput]]]`: Either a TeamRunOutput or an iterator of events, depending on the `stream` parameter ### `acontinue_run` Continue a run asynchronously. **Parameters:** * `run_response` (Optional\[TeamRunOutput]): The run response to continue * `run_id` (Optional\[str]): The run ID to continue * `requirements` (Optional\[List\[Any]]): Updated run requirements to resolve, e.g. tool approvals * `input` (Optional\[str]): Additional input to send when continuing the run * `continue_from` (Union\[int, Literal\["end", "last\_user"]]): Where to resume the run from. Defaults to `"end"` * `fork` (bool): If True, continue into a new forked run instead of updating the original * `regenerate` (bool): If True, regenerate the run instead of continuing it * `replace_original` (Optional\[bool]): Whether the new run replaces the original run in the session * `additional_instructions` (Optional\[str]): Extra instructions added for the continued run * `stream` (Optional\[bool]): Whether to stream the response * `stream_events` (Optional\[bool]): Whether to stream intermediate steps * `user_id` (Optional\[str]): User ID to use * `session_id` (Optional\[str]): Session ID to use * `run_context` (Optional\[RunContext]): Run context to use * `knowledge_filters` (Optional\[Union\[Dict\[str, Any], List\[FilterExpr]]]): Knowledge filters to apply * `dependencies` (Optional\[Dict\[str, Any]]): Dependencies to use for this run * `metadata` (Optional\[Dict\[str, Any]]): Metadata to use for this run * `debug_mode` (Optional\[bool]): Whether to enable debug mode * `yield_run_output` (bool): Whether to yield the run output (only for streaming) * `background` (bool): Whether to continue the run in background mode **Returns:** * `Union[TeamRunOutput, AsyncIterator[Union[TeamRunOutputEvent, RunOutputEvent, TeamRunOutput]]]`: Either a TeamRunOutput or an async iterator of events, depending on the `stream` parameter ### `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 team * `stream` (Optional\[bool]): Whether to stream the response * `session_id` (Optional\[str]): Session ID to use * `session_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 use * `run_id` (Optional\[str]): Run ID to use * `show_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 output * `tags_to_include_in_markdown` (Optional\[Set\[str]]): Tags to include in markdown content * `audio` (Optional\[Sequence\[Audio]]): Audio files to include * `images` (Optional\[Sequence\[Image]]): Image files to include * `videos` (Optional\[Sequence\[Video]]): Video files to include * `files` (Optional\[Sequence\[File]]): Files to include * `markdown` (Optional\[bool]): Whether to format output as markdown * `knowledge_filters` (Optional\[Union\[Dict\[str, Any], List\[FilterExpr]]]): Knowledge filters to apply * `add_history_to_context` (Optional\[bool]): Whether to add history to context * `dependencies` (Optional\[Dict\[str, Any]]): Dependencies to use for this run * `add_dependencies_to_context` (Optional\[bool]): Whether to add dependencies to context * `add_session_state_to_context` (Optional\[bool]): Whether to add session state to context * `metadata` (Optional\[Dict\[str, Any]]): Metadata to use for this run * `debug_mode` (Optional\[bool]): Whether to enable debug mode * `show_member_responses` (Optional\[bool]): Whether to show member responses ### `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 team * `stream` (Optional\[bool]): Whether to stream the response * `session_id` (Optional\[str]): Session ID to use * `session_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 use * `run_id` (Optional\[str]): Run ID to use * `show_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 output * `tags_to_include_in_markdown` (Optional\[Set\[str]]): Tags to include in markdown content * `audio` (Optional\[Sequence\[Audio]]): Audio files to include * `images` (Optional\[Sequence\[Image]]): Image files to include * `videos` (Optional\[Sequence\[Video]]): Video files to include * `files` (Optional\[Sequence\[File]]): Files to include * `markdown` (Optional\[bool]): Whether to format output as markdown * `knowledge_filters` (Optional\[Union\[Dict\[str, Any], List\[FilterExpr]]]): Knowledge filters to apply * `add_history_to_context` (Optional\[bool]): Whether to add history to context * `dependencies` (Optional\[Dict\[str, Any]]): Dependencies to use for this run * `add_dependencies_to_context` (Optional\[bool]): Whether to add dependencies to context * `add_session_state_to_context` (Optional\[bool]): Whether to add session state to context * `metadata` (Optional\[Dict\[str, Any]]): Metadata to use for this run * `debug_mode` (Optional\[bool]): Whether to enable debug mode * `show_member_responses` (Optional\[bool]): Whether to show member responses ### `cli_app` Run an interactive command-line interface to interact with the team. **Parameters:** * `input` (Optional\[str]): The input to send to the team * `user` (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 team * `session_id` (Optional\[str]): Session ID to use * `user_id` (Optional\[str]): User ID to use * `user` (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) **Returns:** * `Optional[SessionSummary]`: The session summary ### `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) **Returns:** * `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` (Union\[List\[Union\[Toolkit, Callable, Function, Dict]], Callable\[..., List]]): The tools to set, or a callable factory that returns the list ### `cancel_run` Cancel a run by run ID. **Parameters:** * `run_id` (str): The run ID to cancel **Returns:** * `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 ID * `session_id` (Optional\[str]): Session ID to use * `user_id` (Optional\[str]): User ID to use **Returns:** * `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) **Returns:** * `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) * `user_id` (Optional\[str]): User ID to use **Returns:** * `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 * `user_id` (Optional\[str]): User ID to use * `delete_media` (bool): If True, also delete the session's offloaded media from `media_storage`. Defaults to False ### `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) **Returns:** * `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 name * `session_name` (Optional\[str]): The name to set **Returns:** * `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) **Returns:** * `Dict[str, Any]`: The session state ### `update_session_state` Update the session state for the given session ID. **Parameters:** * `session_state_updates` (Dict\[str, Any]): The session state keys and values to update. Provided keys are merged into the existing session state, overwriting existing values * `session_id` (Optional\[str]): Session ID to use (if not provided, the current session is used) **Returns:** * `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) **Returns:** * `Optional[SessionMetrics]`: 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) * `last_n_runs` (Optional\[int]): The number of runs to return messages from, counting from the latest. Defaults to all runs **Returns:** * `List[Message]`: The chat history ### `get_session_messages` 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) * `member_ids` (Optional\[List\[str]]): The ids of the members to get the messages from * `last_n_runs` (Optional\[int]): The number of runs to return messages from, counting from the latest. Defaults to all runs * `limit` (Optional\[int]): The number of messages to return, counting from the latest. Defaults to all messages * `skip_roles` (Optional\[List\[str]]): Skip messages with these roles * `skip_statuses` (Optional\[List\[RunStatus]]): Skip messages with these statuses * `skip_history_messages` (bool): Skip messages that were tagged as history in previous runs. Defaults to True * `skip_member_messages` (bool): Skip messages created by members of the team. Defaults to True **Returns:** * `List[Message]`: The messages for the session This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.