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This PR introduces session continuation to Atuin AI.
* Conversations with Atuin AI are stored in a local SQLite database
* Upon startup, Atuin AI tries to find a session to resume based on its
directory/workspace and the time since the last event
* If found, Atuin AI will show a note that the session has been resumed,
and an event is added to help the LLM know where the invocation
boundaries are
* If not, Atuin AI will create a new conversation
* The user can create a new conversation with `/new`
* The new setting `ai.session_continue_minutes`, which defaults to `60`,
controls how old the last event in a session can be before it's no
longer considered for automatic resuming.
<img width="1055" height="593" alt="image"
src="https://github.com/user-attachments/assets/3f9ff01a-ef64-44a9-b0e2-3a4252c5746f"
/>
## Architecture
A new `SessionService` trait defines an API contract for a service that
can manage session data. `LocalSessionService` implements this, with
`DaemonSessionService` a possible future extension point.
`SessionManager` owns a `dyn SessionService` and delegates as
appropriate.
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Adds client-side tool execution to Atuin AI, starting with
`atuin_history`. The server can request tool calls, which are executed
locally with a permission system, and results are sent back to continue
the conversation.
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This PR replaces the mess of custom rendering code in Atuin AI with
[eye-declare](https://github.com/BinaryMuse/eye-declare), and updates
the TUI to feel more terminal-native: output appears inline and persists
in scrollback, so you can scroll up and look at previous conversations
for reference.
The "review" state — which used to exist between the LLM generating a
response and the user either executing or following up — has been
removed; just start typing to follow up with the LLM, or press `enter`
at the empty input box to execute the suggested command.
<img width="1203" height="633" alt="image"
src="https://github.com/user-attachments/assets/159ee447-9a2a-4edd-b56e-a79bf1aaaa94"
/>
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