* feat: add disable_streaming helper for tool-selector's internal model
* feat: apply disable_streaming to the tool-selector's model in the factory
* fix(tool-selector): hide selector model call from public event streams
* feat(tool-selector): log a WARNING when the selector's model returns a duplicate-tool_calls flood
* chore: log flood-detector errors, document parent-method drift risk, tighten tests
* refactor(tool-selector): switch to nostream tag via model-field wiring, drop subclass
* chore: add pytest-asyncio in auto mode
* test: migrate channel and stream tests to native async
Convert run_async() wrapper tests to plain 'async def test_*' under
pytest-asyncio auto mode. collect_events() in stream_v3_fakes becomes a
coroutine awaited at every call site.
* test: migrate command and model/middleware tests to native async
Convert run_async() wrappers (import, alias, and fixture forms) to plain
'async def test_*'. Multi-call tests merge onto one loop as sequential
awaits; none asserted on loop identity.
* test: migrate TUI, notifier, gateway, and session tests to native async
TUI/notifier/gateway files convert run_async wrappers to plain async
tests. test_sessions.py's unittest.TestCase classes move to
unittest.IsolatedAsyncioTestCase (pytest-asyncio does not await async
methods on plain TestCase; converting blindly would have made ~70 tests
silently vacuous). Its setUpClass keeps a one-shot asyncio.run() since
IsolatedAsyncioTestCase has no async class-level hook. TestLoadingWidget
in test_tui_widgets.py drops its TestCase base for the same reason.
* test: replace direct asyncio.run() calls with native async tests
Convert tests that called asyncio.run() (directly or via a local _run
helper) to plain 'async def test_*'; delete the local helpers.
* test: drop undeclared anyio markers and delete run_async helper
The @pytest.mark.anyio tests relied on anyio being a transitive dep of
httpx; auto-mode pytest-asyncio collects them natively. run_async() and
its fixture are unreferenced after the migration, so remove them —
pytest-asyncio's per-test loop teardown covers the pending-task
cancellation the helper existed for (verified: full suite runs with no
'Event loop is closed' errors or destroyed-task warnings).
* test: add autouse fixture for watcher cleanup
* refactor: remove redundant hasattr calls
* refactor: add typed middleware event sink and thread through assembly
Add MiddlewareEventSink protocol + NoOpSink in middleware/events.py
with a documented any-thread non-blocking contract (contract test uses a
deliberately-slow fake sink). Thread an optional `events` parameter
through create_cli_agent -> _get_default_middleware -> tool selector /
model fallback constructors; subagent stacks are always forced to
NoOpSink.
* refactor: inject a notifier port into async-watcher and background middleware
Add public pre_cancel_watcher() and enqueue_task_notification() to
cli/async_notifier.py and a small NotifierPort protocol
(middleware/notifier.py) that the module satisfies structurally.
AsyncWatcherMiddleware and BackgroundExecutionMiddleware now receive the
port by constructor injection at the composition root, deleting the lazy
'from ..cli import async_notifier' imports and the private
_watcher_by_thread / _enqueue pokes.
* refactor: invert tool-selection ownership onto a frontend event sink
The adaptive tool selector now reports on_tool_selection_started /
on_tool_selection / on_tool_selection_ended to the injected sink instead
of writing four process-global module variables. The frontend sink
(stream/sink.py FrontendEventSink) owns the selected/total/active state
with consume-once + dedup-vs-last-emitted semantics;
stream/tool_selection.py reads that sink object (a ToolSelectionView)
rather than reaching into tool_selector's globals.
Deleted: the 4 module globals, the cross-module mutations in
tool_selection.py, the track_stream_selection flag, the now-vestigial
_ToolSelectionTrackerMiddleware, reset_tool_selection_state_for_tests,
and the autouse conftest fixture. The sink is threaded from the two
interactive frontends through create_runtime_gateways ->
LocalGraphGateway (read side) and _load_agent -> create_cli_agent (write
side); subagent / headless stacks get NoOpSink.
* refactor: route model-fallback narration through the injected event sink
Delete the _ui_emit_fn / set_ui_emit module global and the
..stream.console import from model_fallback.py. The fallback middleware
now reports through its injected sink: the fallback transition via the
structured on_model_fallback (the frontend formats the '-> Falling back
to ...' line), and the surrounding narration (primary-failure header,
per-attempt outcome, exhaustion, non-fallbackable rejection) via
emit_fallback_notice, preserving the exact user-facing text. The TUI
binds its _append_system as the sink's fallback display where it used to
call set_ui_emit (cleared on exit); the Rich CLI's sink prints to the
console. _try_fallbacks / _guard_and_fallback take the sink.
* refactor: declare events on the GraphGateway protocol
Both gateway implementations now carry an explicit events attribute
(LangGraphServerGateway holds None — no frontend renders middleware
events across the HTTP boundary), so the four call sites use plain
attribute access instead of getattr probing an implicit contract.
* refactor: bind fallback display via the closure-scoped concrete sink
The App methods used gateway.events (typed as the read-side view) and
hasattr-probed for the concrete FrontendEventSink API. The enclosing
factory creates that sink two hundred lines up — close over it directly:
no probing, fully typed, and it becomes a constructor parameter
naturally when the App class is hoisted out of the factory.
* fix: end tool selection before fallback handler
* fix: keep fallback display errors non-fatal
* fix: preserve selector suppression for default streams
* fix: restore fallback notice console display
* refactor: consolidate fallback narration events
* refactor: clean middleware event sink plumbing
* fix: type gateway session events
* refactor: make all event protocols runtime-checkable
MiddlewareEventSink already carried @runtime_checkable (the stream
binding guard isinstance-checks it); ToolSelectionView and SessionEvents
now match, so mirroring that pattern against any of the three protocols
works instead of raising TypeError.
* fix(cli): close QuickJS workers after one-shot failures
* fix(cli): honor no-thinking in final output
* fix(channels): report failed startup accurately
* fix(channels): make Telegram cleanup idempotent
* fix(tui): skip command sync during exit
* fix(channels): preserve startup state during retries
* refactor(channels): share pending startup status
* refactor(cli): expose channel startup snapshot
* fix(tui): move channel startup off event loop
* test(channels): release retry gate on assertion failure
---------
Co-authored-by: Xi Zhang <106144707+X-iZhang@users.noreply.github.com>
* feat(middleware): reposition code interpreter middleware in the stack
* feat(models): add qwen3.7-plus model entry and update context window comment
* feat(models): add qwen3.7-max and qwen3.7-plus model entries for DashScope
* feat(auxiliary): implement auxiliary model support for background tasks and tool selection
- Added auxiliary model configuration to EvoScientistConfig.
- Introduced _ensure_auxiliary_chat_model function to manage auxiliary model instances.
- Updated onboarding steps to include auxiliary model selection.
- Modified middleware to route tool selection to the auxiliary model when applicable.
- Enhanced tests to cover auxiliary model functionality and configuration.
* feat(steps): update UI backend selection options and descriptions
* Refactor code structure for improved readability and maintainability
* feat(patches): implement OpenRouter response reasoning item stripping to prevent multi-turn errors
* feat: update version to v0.1.4 in badges, README, and pyproject.toml; adjust skill counts in steps.py
* feat(config): add auxiliary model and provider environment variables to test setup
* fix(chat): resolve model switch lag by tracking model/provider key for cache invalidation
* style: format set_chat_model function for improved readability
* fix(chat): improve model switching logic to prevent unnecessary cache rebuilds
* fix(model): ensure globals are restored on agent load failure to prevent model switch issues
* feat: Add context management middleware for improved error handling and context editing
* feat: Implement LLMToolSelectorMiddleware for enhanced tool selection and tracking
* feat(tests): update test functions to include mock timestamp parameter
* refactor: simplify tool selection state storage and update comments in middleware
* feat: Enhance tool selection handling and suppress structured output for improved event streaming
* refactor: simplify patching in test_create_tool_selector functions
* feat: add model parameter to create_tool_selector_middleware for enhanced flexibility
* feat: enhance tool selection suppression with JSON buffering for improved accuracy
dinos