autogen_ext.agents.file_surfer#

class FileSurfer(name: str, model_client: ChatCompletionClient, description: str = DEFAULT_DESCRIPTION, base_path: str = os.getcwd())[source]#

Bases: BaseChatAgent, Component[FileSurferConfig]

An agent, used by MagenticOne, that acts as a local file previewer. FileSurfer can open and read a variety of common file types, and can navigate the local file hierarchy.

Installation:

pip install "autogen-ext[file-surfer]"
Parameters:

  • name (str) – The agent’s name

  • model_client (ChatCompletionClient) – The model to use (must be tool-use enabled)

  • description (str) – The agent’s description used by the team. Defaults to DEFAULT_DESCRIPTION

  • base_path (str) – The base path to use for the file browser. Defaults to the current working directory.

DEFAULT_DESCRIPTION = 'An agent that can handle local files.'#
DEFAULT_SYSTEM_MESSAGES = [SystemMessage(content='\n        You are a helpful AI Assistant.\n        When given a user query, use available functions to help the user with their request.', type='SystemMessage')]#
classmethod _from_config(config: FileSurferConfig) → Self[source]#

Create a new instance of the component from a configuration object.

Parameters:

config (T) – The configuration object.

Returns:

Self – The new instance of the component.

_to_config() → FileSurferConfig[source]#

Dump the configuration that would be requite to create a new instance of a component matching the configuration of this instance.

Returns:

T – The configuration of the component.

component_config_schema#

alias of FileSurferConfig

component_provider_override: ClassVar[str | None] = 'autogen_ext.agents.file_surfer.FileSurfer'#

Override the provider string for the component. This should be used to prevent internal module names being a part of the module name.

async on_messages(messages: Sequence[BaseChatMessage], cancellation_token: CancellationToken) → Response[source]#

Handles incoming messages and returns a response.

Note

Agents are stateful and the messages passed to this method should be the new messages since the last call to this method. The agent should maintain its state between calls to this method. For example, if the agent needs to remember the previous messages to respond to the current message, it should store the previous messages in the agent state.

async on_reset(cancellation_token: CancellationToken) → None[source]#

Resets the agent to its initialization state.

property produced_message_types: Sequence[type[BaseChatMessage]]#

The types of messages that the agent produces in the Response.chat_message field. They must be BaseChatMessage types.