Documentation
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Overview ¶
Package tui holds the small set of messages shared across the strongo/aichat Bubble Tea chat kit's sub-packages (tui/stream, tui/chatshell) so a leaf component can ask the shell to do something (e.g. pin an entity to the sidebar) without importing the shell itself. The rendering components (transcript, sidebar, grid block) live in github.com/tuigoff/tuigoff; tui/chatshell composes them.
Index ¶
Constants ¶
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Variables ¶
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Functions ¶
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Types ¶
type AddToSidebarMsg ¶
AddToSidebarMsg requests that ref be pinned to the working-context sidebar. A product control may emit it directly (tui/chatshell also pins on a grid's own PinRowMsg). tui/chatshell handles it by adding ref to the sidebar and, when the product's Handler implements OnSidebarChange, notifying it.
Source Files
Directories
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| Path | Synopsis |
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Package chatshell composes tuigoff's pkg/transcript, pkg/sidebar, pkg/focus and pkg/gridblock with aichat's tui/stream into the reusable chat screen every aichat product runs: history + composer + sidebar + top/status bars, with a split pane when the terminal is wide enough (>= 104 columns, matching DataTug's splitEnabled).
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Package chatshell composes tuigoff's pkg/transcript, pkg/sidebar, pkg/focus and pkg/gridblock with aichat's tui/stream into the reusable chat screen every aichat product runs: history + composer + sidebar + top/status bars, with a split pane when the terminal is wide enough (>= 104 columns, matching DataTug's splitEnabled). |
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Package stream pumps an ai.LLMProvider's iter.Seq2[ai.Event, error] into Bubble Tea messages without buffering the response: each event arrives as an EventMsg carrying the tea.Cmd that re-arms the pump for the next event (the "channel re-arm" pattern DataTug chat used for HTTP/LLM streaming).
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Package stream pumps an ai.LLMProvider's iter.Seq2[ai.Event, error] into Bubble Tea messages without buffering the response: each event arrives as an EventMsg carrying the tea.Cmd that re-arms the pump for the next event (the "channel re-arm" pattern DataTug chat used for HTTP/LLM streaming). |