UI#
- class lumen.ai.ui.UI(data: str | Path | Source | Pipeline | list[str | Path | Source | Pipeline] | None = None, **params)#
UI provides a baseclass and high-level entrypoint to start chatting with your data.
Parameters#
type: list
default: []
List of additional Agents to add beyond the default_agents.
type: list
default: []
List of custom analyses. If provided the AnalysesAgent will be added.
type: lumen.ai.Coordinator
default: lumen.ai.Planner
The Coordinator class that will be responsible for coordinating the Agents.
type: list
default: [<class 'lumen.ai.agents.TableListAgent'>, <class 'lumen.ai.agents.ChatAgent'>, <class 'lumen.ai.agents.DocumentListAgent'>, <class 'lumen.ai.agents.AnalystAgent'>, <class 'lumen.ai.agents.SourceAgent'>, <class 'lumen.ai.agents.SQLAgent'>, <class 'lumen.ai.agents.VegaLiteAgent'>]
List of default agents which will always be added.
type: dict
default: {}
Dictionary mapping from name of exporter to export function.
type: panel.chat.ChatInterface
default: None
The ChatInterface for the Coordinator to interact with.
type: lumen.ai.llm.Llm
default: OpenAI()
The LLM provider to be used by default
type: Any
default: 'INFO'
Possible values: 'DEBUG' | 'INFO' | 'WARNING' | 'ERROR'
The log level to use.
type: str
default: None
The path to the log file that will store the messages exchanged with the LLM.
type: str
default: 'UI'
String identifier for this object.
type: str
default: ''
Preamble to add to exported notebook(s).
type: Any
default: panel.template.FastListTemplate
Possible values: panel.template.BootstrapTemplate | panel.template.EditableTemplate | panel.template.FastListTemplate | panel.template.MaterialTemplate | panel.template.GoldenTemplate | panel.template.SlidesTemplate | panel.template.VanillaTemplate
Panel template to serve the application in.
type: str
default: 'Lumen UI'
Title of the app.
type: list
default: []
List of Tools that can be invoked by the coordinator.
Methods#
- UI.servable(title: str | None = None, **kwargs)#
Serves the object or adds it to the configured pn.state.template if in a panel serve context, writes to the DOM if in a pyodide context and returns the Panel object to allow it to display itself in a notebook context.
- Parameters:
title (str) – A string title to give the Document (if served as an app)
location (boolean or panel.io.location.Location) – Whether to create a Location component to observe and set the URL location.
area (str (deprecated)) – The area of a template to add the component too. Only has an effect if pn.config.template has been set.
target (str) – Target area to write to. If a template has been configured on pn.config.template this refers to the target area in the template while in pyodide this refers to the ID of the DOM node to write to.
- Return type:
The Panel object itself
- UI.show(**kwargs)#
Starts a Bokeh server and displays the Viewable in a new tab.
- Parameters:
title (str | None) – A string title to give the Document (if served as an app)
port (int (optional, default=0)) – Allows specifying a specific port
address (str) – The address the server should listen on for HTTP requests.
websocket_origin (str or list(str) (optional)) – A list of hosts that can connect to the websocket. This is typically required when embedding a server app in an external web site. If None, “localhost” is used.
threaded (boolean (optional, default=False)) – Whether to launch the Server on a separate thread, allowing interactive use.
verbose (boolean (optional, default=True)) – Whether to print the address and port
open (boolean (optional, default=True)) – Whether to open the server in a new browser tab
location (boolean or panel.io.location.Location) – Whether to create a Location component to observe and set the URL location.
- Returns:
server – Returns the Bokeh server instance or the thread the server was launched on (if threaded=True)
- Return type:
bokeh.server.Server or panel.io.server.StoppableThread
Types#
ChatUI provides a high-level entrypoint to start chatting with your data
ExplorerUI provides a high-level entrypoint to start chatting with your data