mermaid-cli 0.7.1

Open-source AI pair programmer with agentic capabilities. Local-first with Ollama, native tool calling, and beautiful TUI.
Documentation
# Mermaid Architecture (v0.7+)

This is the short tour of how Mermaid is put together after the v0.7 rewrite. For the why — the bugs the old design made possible and the ones this one rules out — see the commit messages in the `feat(domain)` / `feat(effect)` / `feat(providers)` series.

## One sentence

```
crossterm events + effect results → update(State, Msg) → (State, Vec<Cmd>) → EffectRunner → …
```

Everything else is detail.

## The four laws

1. **One event loop.** A single `tokio::select!` in `src/app/run.rs` drives every turn. Keyboard input, paste events, model streaming chunks, tool completion, tick timers — all of them arrive as `Msg` values, and the select picks whichever is ready. There is no second event loop hiding inside an observer.

2. **Pure reducer.** `fn update(State, Msg) -> (State, Vec<Cmd>)` lives in `src/domain/reducer.rs`. It is synchronous. It does no I/O. It owns no tokio handles. A unit test that exercises the full conversation path only needs `State`, a sequence of `Msg` values, and an `assert_eq!` on the result — no runtime, no terminal.

3. **Effects as data.** The reducer returns `Cmd` values. It never calls a provider, writes a file, or spawns a task. `src/effect/EffectRunner::dispatch` turns each `Cmd` into real work on the tokio runtime. Retry, tracing, and rate-limiting wrap the dispatcher uniformly instead of being re-implemented inside each adapter.

4. **Structured concurrency per turn.** Every in-flight turn owns a `TurnScope` (`src/effect/turn_scope.rs`): one `CancellationToken`, one `JoinSet`. Spawning a task into the scope ties its lifetime to the turn. Cancelling the token signals every child at its next `.await`. Cancelling the scope drops every handle. There is no `task.abort()` anywhere in the codebase; the only way to stop in-flight work is `Cmd::CancelScope(TurnId)`.

## The modules

```
src/
├── domain/      — pure, no async, no I/O.
│   ├── state.rs        State, TurnState, UiState, Session
│   ├── msg.rs          Msg (~25 variants)
│   ├── cmd.rs          Cmd
│   ├── reducer.rs      update(State, Msg)
│   ├── transition.rs   invariant-enforcing helpers
│   └── ids.rs          TurnId, ToolCallId, SubagentId nonces
│
├── effect/     — the only place tokio tasks spawn.
│   ├── mod.rs          EffectRunner + dispatch
│   ├── turn_scope.rs   Per-turn CancellationToken + JoinSet
│   └── middleware.rs   retry_transient_http
│
├── providers/  — the adapter surface.
│   ├── model/          ModelProvider + {Ollama, Anthropic, Gemini, OpenAI-compat}
│   ├── tool/           ToolExecutor + {filesystem, exec, web, mcp}
│   ├── ctx.rs          StreamContext, ExecContext
│   ├── capabilities.rs Capabilities
│   └── factory.rs      ProviderFactory (cache by model_id)
│
├── app/        — the thin outer shell.
│   ├── run.rs          ~40-line main loop
│   ├── event_source.rs crossterm Event → Msg
│   ├── lifecycle.rs    SIGINT/SIGTERM/SIGHUP → Msg
│   ├── terminal.rs     TerminalGuard (panic-safe teardown)
│   └── recorder.rs     --record / --replay
│
└── render/     — pure view, fn(&State, &mut Frame)
    ├── mod.rs          render() entrypoint
    ├── layout.rs       pure layout math
    ├── chat.rs, input.rs, status.rs, palette.rs, attachments.rs
```

## Type-enforced invariants

The architecture upgrades several conventions into type-level guarantees.

### Stale events are dropped automatically.

Every `Msg` variant carrying effect output embeds a `TurnId`. The reducer's first line on any such message is `if !state.turn.accepts(msg.turn_id()) return;` — mismatches drop silently.

In v0.6, the equivalent was `app.check_interrupt()`, a polling function every long-running op was supposed to call periodically. Forgetting was silent. That's why `web_search` (30-second timeout) and `execute_command` (300-second timeout) both shipped with the same "20-press Ctrl+C" bug. Here, the reducer can't even look at a stale event — filter happens before any state transition.

### Tool results can't go missing.

`TurnState::ExecutingTools::outcomes` is `Vec<Option<ToolOutcome>>`. To transition out of `ExecutingTools` and into the follow-up model call, the reducer must call `try_complete_outcomes`, which flattens `Vec<Option<_>>` → `Vec<_>` only when every slot is `Some(_)`. No code path advances with missing outcomes.

In v0.6, the equivalent was 30 lines of placeholder bookkeeping added after a customer report. Here, the shape of the type makes the bug impossible.

### Cancellation has exactly one entry point.

`Cmd::CancelScope(TurnId)` is the only way to abort work. Grep for `handle.abort()` or `JoinSet::abort_all` in the post-v0.7 codebase; outside of the scope-drop implementation, there are no hits. Every cancellation flows through the reducer → Cmd → runner → token.cancel() path.

### Cancellation is signalled, not polled.

`ExecContext::token` and `StreamContext::token` are `CancellationToken`s threaded into every provider and tool. Adapters race `token.cancelled()` against their main future inside `tokio::select!`. Abort latency is bounded by how long `SIGKILL` takes to arrive, not by whatever polling interval the code happened to choose.

### Runtime metadata is typed.

`domain::runtime` holds lifecycle signals, provider capability snapshots, tool-run metadata, and managed background processes. The renderer can still show friendly strings, but long-lived state like "PID 123 is a background dev server with log `/tmp/...`" lives as data on `State::runtime`, not as text scraped out of chat output.

## The message loop

```rust
// src/app/run.rs, condensed.
loop {
    terminal.draw(|f| render(&state, f))?;

    let msg = tokio::select! {
        m = msg_rx.recv()   => m,                    // effect results
        e = events.next()   => event_to_msg(e),      // crossterm
        s = lifecycle.next_msg() => s,               // process signals
        _ = tick.tick()     => Some(Msg::Tick),      // 60 Hz
    };

    let (new_state, cmds) = update(state, msg);
    state = new_state;
    for cmd in cmds { runner.dispatch(cmd); }

    if state.should_exit { break; }
}
```

That's the whole thing. There is no second runtime. There are no observer callbacks. The render is pure — it takes `&State`, paints into ratatui, mutates nothing.

On exit, the app restores the terminal before async shutdown drains saves, MCP cleanup, and cancelled turn scopes. `TerminalGuard::restore_now()` is idempotent, so normal exit, signal exit, panic cleanup, and `Drop` all share the same teardown without stacking alternate-screen or mouse-capture state.

## Adding a provider

See [`docs/adding_providers.md`](adding_providers.md). tl;dr: implement `ModelProvider` for a struct, register it in `ProviderFactory::build_provider`. One file; no dispatch plumbing to update.

## Adding a tool

See [`docs/adding_tools.md`](adding_tools.md). tl;dr: implement `ToolExecutor` for a unit struct, register it in `ToolRegistry::default` (or a custom registry). One file; cancellation and progress come automatically from `ExecContext`.

## Debugging with --record / --replay

See [`docs/replay_debugging.md`](replay_debugging.md). Event sourcing is nearly free in an MVU architecture; we capture every `Msg` the reducer sees, and a replay is a straight fold.

## Migration status

The v0.6 runtime is gone. The v0.7 architecture is the only code path — subagent dispatch, MCP init, conversation load, and the model list modal all run through the reducer + effect runner described above. `MERMAID_V7=1` used to gate the v0.7 runtime during the migration; it's a no-op now and will be removed in a future release.