This refactor splits out all conversation concerns into a new
`conversation` package. There is now a split between `conversation` and
`api`s representation of `Message`, the latter storing the minimum
information required for interaction with LLM providers. There is
necessary conversation between the two when making LLM calls.
Improves render handling by moving the responsibility of laying out the
whole UI from each view and into the main `tui` model. Our `ViewModel`
interface has now diverged from bubbletea's `Model` and introduces
individual `Header`, `Content`, and `Footer` methods for rendering those
UI elements.
Also moved away from using value receivers on our Update and View
functions (as is common across Bubbletea) to pointer receivers, which
cleaned up some of the weirder aspects of the code (e.g. before we
essentially had no choice but to do our rendering in `Update` in order
to calculate and update the final height of the main content's
`viewport`).
`tui/tui.go` is no longer responsible for passing window resize updates
to all views, instead we request a new window size message to be sent at
the same time we enter the view, allowing the view to catch and handle
it.
Add `Initialized` to `tui/shared/View` model, now we only call
`Init` on a view before entering it for the first time, rather than
calling `Init` on all views when the application starts.
Renames file, small cleanups
- More emphasis on `api` package. It now holds database model structs
from `lmcli/models` (which is now gone) as well as the tool spec,
call, and result types. `tools.Tool` is now `api.ToolSpec`.
`api.ChatCompletionClient` was renamed to
`api.ChatCompletionProvider`.
- Change ChatCompletion interface and implementations to no longer do
automatic tool call recursion - they simply return a ToolCall message
which the caller can decide what to do with (e.g. prompt for user
confirmation before executing)
- `api.ChatCompletionProvider` functions have had their ReplyCallback
parameter removed, as now they only return a single reply.
- Added a top-level `agent` package, moved the current built-in tools
implementations under `agent/toolbox`. `tools.ExecuteToolCalls` is now
`agent.ExecuteToolCalls`.
- Fixed request context handling in openai, google, ollama (use
`NewRequestWithContext`), cleaned up request cancellation in TUI
- Fix tool call tui persistence bug (we were skipping message with empty
content)
- Now handle tool calling from TUI layer
TODO:
- Prompt users before executing tool calls
- Automatically send tool results to the model (or make this toggleable)
And calculate the tokens/chunk for gemini responses, fixing the tok/s
meter for gemini models.
Further, only consider the first candidate of streamed gemini responses.
Instead of a value, which lead some odd handling of conversation
references.
Also fixed some formatting and removed an unnecessary (and probably
broken) setting of ConversationID in a call to
`cmdutil.HandleConversationReply`
