The bundled tei embedder image is amd64-only; under arm64 emulation the Candle
backend is unavailable and TEI falls back to the ONNX/ORT backend, which needs
onnx/model.onnx files Qwen3-Embedding-0.6B doesn't publish (404) -> crash-loop.
A fresh clone on Apple Silicon therefore couldn't stand up the embedder, so
memory save/recall were dead. Ports the proven pattern from the Intelligence
repo's docker-compose.deps.yml + demos/splat-demo/run-demo.sh into this demo:
- docker-compose.yml: gate the bundled `tei` behind the `cpu-fallback` profile,
so a bare `docker compose up` skips the crash-looping emulated image. amd64/CI
opt back in with `--profile cpu-fallback`. (intelligence's tei dep is
required:false, so it starts fine without it, using MEMORY_EMBEDDINGS_URL.)
- run-demo.sh: one-command cold start. On Apple Silicon it runs a native Metal
TEI on :7067 (same 1.9.3 + Qwen3-Embedding-0.6B => byte-identical embeddings,
~20x faster) and points app-api at it; on amd64/CI it uses the docker tei via
the profile. Mints a dev license if .env lacks one, then starts `pnpm dev`.
- README: correct the failure description (emulation->ONNX crash-loop, not OOM),
document run-demo.sh as the recommended start, and the profile-gated manual path.
All CopilotKit-repo-only (banking's compose is standalone); no Intelligence
changes. Validated: shellcheck clean, compose valid, bare `up` skips tei and
keeps intelligence healthy, memory save/recall verified through the native TEI.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The durable memory feature saves kind:"procedural" (route.ts:150) but the
README and drift-smoke script described/seeded kind:"operational", a
doc/code contradiction. Update both to procedural. The learning-tab
back-compat (operational || procedural) is intentionally left untouched.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The README, .env.example, and memory-drift-smoke.mjs referenced a
non-existent path 'tests/e2e/memory-learning.spec.ts'. The actual spec
lives at 'e2e/memory-learning.spec.ts' (matching the test:self-learning
script in package.json). Corrected all three references.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- README: replace dead sl-worker/knowledge/annotate Phase-C section with the
memory runbook (docker compose one-command stack, host-TEI override for Apple
Silicon, 715x ports, .env, cross-thread+cross-persona FOR-149 walkthrough,
aimock E2E + drift-smoke testing notes)
- scripts/memory-drift-smoke.mjs: non-gating real-LLM tripwire that the live model
still emits recall_memory on a fresh-thread over-limit request (save half is
HITL-gated; covered by the manual walkthrough + aimock E2E)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds a "What each mode actually recalls" subsection to the demo README: in OSS
mode the taught workflow is recalled only within the same conversation (the
saved procedure is echoed back into that thread), so a brand-new chat won't know
it — that's expected. Cross-conversation persistence is what the external
Intelligence backend provides. Names the symptom explicitly so reviewers aren't
surprised when a new conversation "doesn't know" the workflow in OSS mode.
scripts/self-learning-smoke.mjs proves the banking demo's recording seam
end-to-end against a running Intelligence backend: posts four teaching
actions through the demo BFF /api/copilotkit/annotate (the platform
requires UUID clientEventIds), optionally runs one sl-worker sweep when
INTELLIGENCE_REPO is set, and asserts the distilled vendor policy reads
back through the platform /mcp knowledge tool. Wired as the
test:self-learning package script and documented in the README.
Verified live: PASS 6/6 against Intelligence @ mme/learn-from-user-activity
(records as rows 13-16, sweep editCount=0 steady-state, recall returns the
pre-cleared vendor policy).
The 'Known gap' section predated the recording fix: the hook exists as
useLearnFromUserActionInCurrentThread and record-user-action.ts is now a
real adapter. Document the /annotate flow and the backend route
requirement (/connector/annotate) instead.
Dashboard, copilot chat panel, and the learning-mode recording vignette
(the violet glow shown while an officer demonstration is being recorded).
PNGs are LFS-tracked per the repo .gitattributes.
Replace the no-op recorder shim with a real adapter over the v2 hook
(renamed from useRecordUserActionInCurrentThread in #4839/#5073): call-site
{title, description, previousData, newData, metadata} maps to the hook's
{title, description, data: {previous, next, metadata}}, with threadId
sourced from the surrounding chat config provider.
Add an optional INTELLIGENCE_USER_ID / INTELLIGENCE_USER_NAME override to
identifyUser for backends that enforce org membership of the asserted user
(e.g. a local Intelligence stack with seeded fixture users); the default
remains the derived northwind-<role> identity. Documented in the README.
Verified end-to-end against Intelligence @ mme/learn-from-user-activity
(PUT /connector/annotate): record -> cpki.sl_annotations -> sl-worker
distill -> /project knowledge file -> recall via /mcp. Recording requires a
backend that exposes /connector/annotate; the OSS default path
(InMemoryAgentRunner, no INTELLIGENCE_* env) is unchanged.
Continues the closed draft #5183 on top of the merged #5180. Adds: v2 Threads as a docked chat side panel + inbox; the self-learning teachable policy-exception gate (symptom-only over-limit gate, justifying-exception unlock, recipe withheld; OSS default, env-gated CopilotKitIntelligence); the Aurora design system; a reusable teach-mode cookbook (examples/showcases/teach-mode/); and a learning-track plan. 53 files, scoped to examples/showcases/{banking,teach-mode}.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Replace v1-era hooks/data references with the actual v2 surface:
useAgentContext / useFrontendTool / useHumanInTheLoop from
@copilotkit/react-core/v2, the Hono runtime route, the seed.json + store
data layer, and the Northwind identity. Drop mentions of removed
SQL/MSA/ServiceNow/RAG features.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Run prettier on ~1,865 files across examples/ to match the monorepo's
formatting standards. These files were imported as-is from standalone
repos that used different prettier configs.
Maxim