feat(R03): unify model routing and centralise the provider catalogue

EPIC R03 (Team Duy) — Model Providers & Routing. All six tasks done.

R03-T02 — Provider catalogue
  domain/models/provider_descriptor.py     ProviderDescriptor (frozen), WireProtocol, AuthKind
  infrastructure/providers/provider_registry.py
                                           thread-safe registry: id/alias lookup, dynamic
                                           lookup by model id, adapter selection by protocol
  providers/factory.py                     drops its own _REGISTRY table and delegates to the
                                           registry, still raising ProviderError for callers

R03-T03 — RoutingApplicationService (pure Python, 4 modes)
  application/model_routing/routing_models.py
                                           RoutingMode (off/auto/manual/fallback),
                                           RoutingRequest (immutable snapshot), RouteEvaluation,
                                           RoutingOutcome
  application/model_routing/routing_application_service.py
                                           the single decision flow, reached through two narrow
                                           ports plus a caller-supplied confirm callback, so no
                                           Qt import is needed
  application/model_routing/core_routing_adapter.py
                                           binds the ports to core/routing and AppContext

  Fallback is a new resilience mode: keep the selected model while it can serve the turn,
  re-route only when it cannot. Wired end to end through config.py, state.py,
  ui/routing_toggle.py and i18n.py (EN/JA/VI).

R03-T04 / T05 — Remove the duplicated routing flow
  ui/chat_panel.py (#L638), ui/co4e_tab.py, ui/folder_tab.py each drop ~35 lines of copied
  logic and call the shared service; the widgets now only build a RoutingRequest, host the
  Manual-mode modal and render the outcome.

R03-T06 — Token usage as an event
  infrastructure/telemetry/usage_sink.py   UsageEvent + UsageEventSink protocol, with tracker,
                                           in-memory and composite sinks
  providers/openai_compat.py, providers/anthropic.py
                                           publish a UsageEvent instead of writing to the
                                           usage tracker themselves
  core/usage_tracker.py                    adds current_context() so a sink can borrow and
                                           restore a thread's attribution

R03-T01 — Contract tests
  tests/contracts/test_providers.py parametrises over every provider in the registry: chat()
  signature, canonical assistant message, normalised tool calls, response closed, tool schema
  translation, ProviderError, list_models/test_connection, one UsageEvent per turn.

Test infrastructure fix (required to verify any of the above): tests/conftest.py used to put
the repository's PARENT directory on sys.path, so `import cowork_local.*` resolved against
whichever sibling folder happened to carry that name — on a dev machine, an unrelated older
checkout. The suite reported green while exercising different code. The conftest now binds
this checkout to the cowork_local name in sys.modules.

Verification
  pytest tests/                    236 passed in ~1.8s (102 before this change)
  scripts/check_imports.py         PASS, 0 forbidden imports in domain/ and application/
  new production files             largest is 288 lines, all under the 400 LOC ceiling
  new tests                        134 (50 contract, 70 unit, 14 integration), all offline

scripts/run_quality_gate.py does not exist yet (R10-T02), so DoD item 7 was covered by
check_imports.py plus the full suite.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-08-22 19:36:20 +09:00
co-authored by Claude Opus 5
parent 10739f19aa
commit f61c5474b0
30 changed files with 3458 additions and 166 deletions
+26 -27
View File
@@ -923,43 +923,42 @@ class FolderTab(QWidget):
def _ai_apply_routing(self, instruction: str) -> None:
"""Auto Model Routing for the AI-Edit surface (always a CODING task).
Off → no-op. Auto → silently pick the best coding model. Manual → ask
first. Sets ``self._ai_routed_provider``/``_ai_routed_model`` for this
run; :meth:`_ai_provider` honours them. Never raises."""
R03-T05: routes through the shared ``RoutingApplicationService`` instead
of repeating the Off/Auto/Manual/Fallback rules locally. Sets
``self._ai_routed_provider``/``_ai_routed_model`` for this run;
:meth:`_ai_provider` honours them. Never raises."""
self._ai_routed_provider = None
self._ai_routed_model = None
if not (instruction or "").strip():
return
try:
from ..core.routing.models import TaskType
mode = self.ctx.project_routing_mode("ai_edit") # per-workspace mode
if mode == "off":
return
service = self.ctx.routing()
from ..application.model_routing import (
RoutingRequest,
build_routing_application_service,
)
from .routing_toggle import confirm_switch
cur_provider = self.ctx.config.active_provider
picked = self.ai_model_combo.currentData() if hasattr(self, "ai_model_combo") else None
cur_model = picked or self.ctx.config.provider_conf(cur_provider).get("model", "")
result = service.route(
"ai_edit", instruction, cur_provider, cur_model,
mode_override=mode, task_type=TaskType.CODING,
outcome = build_routing_application_service(self.ctx).resolve(
RoutingRequest(
surface="ai_edit",
prompt=instruction,
current_provider=cur_provider,
current_model=cur_model,
# AI-Edit turns are always code edits, so the task type is
# pinned rather than classified from the instruction text.
task_type="coding",
),
confirm=lambda decision, timeout: confirm_switch(self, decision, timeout),
)
if not result.should_switch:
if not outcome.switched:
return
target = result.target()
if target is None:
return
to_provider, to_model = target
if mode == "manual":
from .routing_toggle import confirm_switch
timeout = float(self.ctx.config.routing.get("confirm_timeout_sec", 60) or 60)
if not confirm_switch(self, result.decision, timeout):
return
self._ai_routed_provider = to_provider
self._ai_routed_model = to_model
self._ai_routed_provider = outcome.provider
self._ai_routed_model = outcome.model
self.ai_chat.add_status(tr(
"routing.switched_notice",
model=to_model, task=result.task_type.value,
gain=f"{result.decision.score_gain:.2f}"))
model=outcome.model, task=outcome.task_type,
gain=f"{outcome.score_gain:.2f}"))
except Exception: # noqa: BLE001 — routing must never block an edit
self._ai_routed_provider = None
self._ai_routed_model = None