Teach-mode UX (staged on the no-op recorder shim, ready for the live hook):
- Suggested-prompt pill leads the welcome screen — "Approve the $5,000
Marketing transaction" — a one-click path straight into the
over-policy-limit gate (seed t-1: Google Ads -$5,000, Marketing limit
$5,000 / spent $500). The same pill drives both halves of the arc:
fails pre-learning, succeeds post-learning.
- Pulsating violet recording vignette frames the canvas while the officer
is teaching. Ref-counted around every `recordUserAction` call so it
stays continuous across opened+finalized; minimum 1.2s visible duration;
non-blocking; static fallback under prefers-reduced-motion. Mounted at
z-1300 to read clearly even over the docked chat panel.
- Inline policy-exception card replaces the popup modal: the officer's
whole demonstration (see symptom → file exception → record) now
happens in the chat as a single HITL card, with identical REST
callers and identical `policy_exception.opened`→`finalized` recording
payloads to the old modal.
CK v2 provider fix:
- Swap the v1 `CopilotKit` compatibility bridge for the v2-native
`CopilotKitProvider`. The bridge wraps the chat in a heavier stack
(ThreadsProvider + a second CopilotChatConfigurationProvider + listeners);
that churn re-fires CopilotChat's /connect effect cleanup mid-run, and
the cleanup calls AG-UI `detachActiveRun()` — which silently tears down
the in-flight run the instant the agent emits a frontend HITL tool call.
Symptom was a clean run with no error but no HITL render. With
CopilotKitProvider the `/connect` storm and ERR_ABORTED are gone and
runs complete cleanly. The inbox keeps working because v2 `useThreads`
reads CopilotKitProvider's own context.
- `reactStrictMode: false` in next.config to remove the dev double-mount
that aggravates the same teardown class. Production unaffected.
Other:
- Switch model to `openai/gpt-5.4-mini-2026-03-17` (verified reachable;
same tool-calling surface).
- Add `selectCard` HITL tool + visual `CardPicker` (in-chat brand+last4
picker) so card-targeted flows (PIN, policy assign) get a visual
picker instead of a text list.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>