The 'More actions' menu portals to <body> at z-50, but the CopilotKit chat
sidebar is z-1200 — so the menu opened BEHIND the panel and was invisible
(clicking the three-dots appeared to do nothing). Lift this dropdown's content
to z-[1300] so it renders in front of the panel. Pairs with the earlier
pointer-events-auto fix; together the row's overflow menu works in-chat.
Verified: menu computed z-index is now 1300 vs panel 1200.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
showPendingApprovals is a display-only useComponent, which CopilotKit paints
pointer-events:none on the assistant message. The table is interactive
(Approve / Deny / File policy exception 'More actions' menu), so the inherited
none made every row action unclickable in the chat. Opt the card subtree back
into pointer events.
Verified live: the 'More actions' button's computed pointer-events flips
none -> auto with the fix.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Re-running the over-limit teach demo mutates the in-memory store (approve +
filed exception flip the charge overLimit→cleared). This endpoint re-seeds the
store in place so the $5,000 Google Ads / Marketing charge (t-1) returns to
pending/over-limit without a server restart. Gated off when NODE_ENV=production.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Drops the non-existent AIMock/MockServer fallback names (TS-flagged once aimock was
installed); LLMock/loadFixtureFile/validateFixtures are the real exports.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
AUTHORED + statically validated (playwright --list compiles spec+config, fixtures/
package JSON valid, launcher syntax OK). NOT yet green-verified — needs aimock
installed (pnpm i), the docker memory stack up, and the dev server in Intelligence
mode (multi-process; not runnable in the current sandbox). Each file carries a
'VERIFY ON FIRST GREEN RUN' checklist for the shakedown.
- e2e/memory-learning.spec.ts: seeds the procedure via REST (recall-half isolation
per the plan), drives a fresh thread, asserts recall->unlock with no recording
offer + the over-limit gate lifted. Save half stays HITL+LLM (drift smoke / manual).
- e2e/fixtures/memory-learning.fixtures.json: pins recall_memory -> openPolicyException
-> finalizePolicyException -> approveTransaction.
- e2e/aimock-server.mjs: aimock launcher (programmatic, CLI fallback documented).
- playwright.config.ts: webServer array (aimock + dev in Intelligence mode, OPENAI_BASE_URL->aimock).
- package.json: +@copilotkit/aimock devDep; test:self-learning -> the spec.
- remove scripts/self-learning-smoke.mjs (dead #192 distill path).
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>
Save action now resolves a string the agent reads as status:saved + an explicit
save_memory(scope:project, kind:operational) instruction with the demonstrated
code, preserving the already-approved/don't-re-run guard. respond() takes a
string in this file, so the result is delivered as text the recall-first prompt
(Task 3) acts on.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Surfaced while verifying Task 0 against a live stack:
- minio-init: retry mc alias set until Docker DNS resolves (idempotent bucket create)
- embedder pluggable: MEMORY_EMBEDDINGS_URL overridable + bundled tei dependency required:false
(point at host/native TEI on RAM-constrained Apple Silicon where the emulated tei OOMs)
- deps default host ports remapped to 715x so a bare `docker compose up` coexists with a dev's Intelligence stack
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Resolve the single conflict in packages/web-inspector/src/index.ts by keeping
both additions: this branch's CpkMemoryList memory-tab element and main's
ɵCpkThreadDetails back-compat alias (independent top-level declarations).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The chart components' descriptions steered the model to answer chart-shaped
questions BY rendering ("do NOT answer in plain text"), which it obeyed too
literally: "which policy is closest to its limit?" produced the right chart
and no answer. Every chart description now carries the same rule — the chart
replaces restating the raw numbers, not the answer itself; follow the render
with one or two grounded sentences. Pending-approvals card gets the matching
"point at what needs attention" line.
Verified live: the budget-usage pill now yields the chart plus "The Marketing
policy is closest to its limit…".
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Dismissal was persisted in sessionStorage, so after one engagement the
demo's opening beat — the copilot noticing breached charges before the
user types or clicks anything — never appeared again for the whole tab
session. Demo-wrong: every fresh load must open with it. Dismissal is now
per-page-load component state; within a load it still never re-nags (the
wrapper stays mounted across client-side navigation).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Click-around feedback fixes on the banking demo:
- In-chat pending approvals are now actually usable: the dashboard's 4-column
approval table is ~550px wide, so inside the chat card its Actions column
rendered past the card edge — visible but unclickable. New
PendingApprovalsChat stacks each charge as a chat-width card with labeled
Approve/Deny/File-exception actions, with exact behavioral parity
(over-limit gating, PolicyExceptionInline form, identical teach-mode
recordUserAction payloads and logStep narration).
- Suggestion bubbles never disappear: the full use-case catalog (12 pills —
the 4 self-learning arc beats plus charts, breakdowns, cash flow, approvals
explainer, report prep, PIN change, team invite) is registered with
available:"always", so the demo stays fully click-drivable after every
exchange. Panel widened 440→560px so pills flow two-per-row instead of
stacking.
- StatisticsChart (dashboard rail + spending-trend gen-UI) is a real chart
now: y-axis dollar gridlines, x-axis labels aligned to the plot area, and
pointer hover showing the exact month + amount with a guide line and
highlighted point. Still hand-rolled SVG, no charting dependency.
Validated with Playwright: approvals filed and approved entirely inside the
chat (Cleared state transition + queue drains), pills persist after
exchanges, tooltip renders on hover.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Make the banking demo pass the click-around test: every moment reachable by
clicking, zero typing, and the dead Analytics/Reports tabs replaced with real
views (FOR-190; claims FOR-178).
Additive modules under src/components/wow/:
- ProactiveNotice: on load, the copilot surfaces overnight policy breaches
unprompted and offers to walk through them (tap-to-accept -> existing
pending-approvals gen-UI). Session-scoped dismissal.
- ChartCard + AnalyticsView: the four brand charts (previously chat-only)
rendered as the dashboard's Analytics tab, each carrying contextual
conversation-starter pills grounded via the existing useAgentContext data.
- createReport tool + ReportsView: "prep the Q2 spend report" files a durable
artifact (summary + highlights + live charts) in the Reports tab through a
new /api/v1/reports REST route and store collection.
- useAskCopilot: shared open-panel + addMessage + runAgent helper (same path
a suggestion-pill click takes).
Correctness fixes found by a full Playwright click-through sweep:
- navigateToPageAndPerform: full-page reload tore down the chat panel mid-run
(conversation and in-flight operation lost); now client-side router.push.
Card operations also targeted /cards, which mirrors the dashboard and has no
card tools — they now land on / where the tools are registered.
- chat-inbox: CSS custom property cast so `next build` compiles again
(production build was failing on main, blocking deploy).
Validated end-to-end with Playwright against a live agent, including the full
teach -> demonstrate -> save -> recall arc in OSS mode.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Address PR review: delete the 4 stray package.json.bak files left by the
version-bump tooling, and restore examples/teams/appPackage/{color,outline}.png
to main (the de-fork commit had rewritten them into raw LFS-pointer text —
incidental fallout unrelated to this PR's scope).
A stray comment edit left langgraph-js's example-layout/index.tsx one line
off from the langgraph-python north-star, tripping the verbatim parity check.
Match it exactly.
The drawer shipped in 1.62.1 (react-core + the previously-missing
web-components package). Move the de-forked examples off the workspace:*
placeholder (and 1.61.0 runtime) onto the published 1.62.1, so they consume
the real SDK CopilotThreadsDrawer. Verified: a standalone install + next build
of pydantic-ai resolves CopilotThreadsDrawer from the published packages.
Rename import + usage from CopilotDrawer to CopilotThreadsDrawer across the
de-forked examples, and drop the now-redundant onUpsell handler: ENT-1027
makes the element open the Intelligence docs URL by default via licenseUrl.
Comments updated; --cpk-drawer-* tokens unchanged. Holds until the drawer
packages are published.
Replace the hand-rolled threads-drawer fork in every threads-enabled
integration example with the SDK <CopilotDrawer> (uncontrolled
CopilotChatConfigurationProvider + reserved-column layout + theme no-flash
where applicable). 16 examples; all browser/build-validated locally.
DRAFT — depends on #5707 and the subsequent npm release; not mergeable until
the SDK publishes @copilotkit/web-components and react-core bumps. Pre-merge
TODOs in the PR description.
## What does this PR do?
This PR fixes build failures on Windows by replacing Unix-only shell
commands (`rm -rf`, `cp`, `mkdir -p`) in `package.json` scripts with
cross-platform Node.js `fs` built-in commands.
This follows the project's existing codebase pattern for cross-platform
operations, as seen in `packages/react-ui/package.json` (line 45).
### 🛠️ Changes:
- **`packages/runtime`**: Replaced `rm -rf` in `generate-graphql-schema`
with `fs.rmSync`.
- **`packages/vue`**: Replaced `cp` in `build:types` and `rm -rf` in
`clean` with `fs.cpSync` and `fs.rmSync`.
- **`packages/angular`**: Replaced `mkdir -p` and `cp` in `build:css`
with `fs.mkdirSync` and `fs.cpSync`.
- **`examples/v1/next-openai`, `next-pages-router`, `state-machine`**:
Replaced `rm -rf` clean commands with a single Node.js loop that deletes
`.turbo`, `node_modules`, `dist`, and `.next`.
All modified packages now build successfully on Windows.
## Related PRs and Issues
- Closes#5601
## Checklist
- [x] I have read the [Contribution
Guide](https://github.com/copilotkit/copilotkit/blob/master/CONTRIBUTING.md)
- [ ] If the PR changes or adds functionality, I have updated the
relevant documentation
- [x] "Allow edits by maintainers" is checked (lets us help iterate on
your PR directly — faster turnaround for everyone)
Adds /a2ui-catalog page and a runtime endpoint with NO a2ui config, so
A2UI switches on purely from the provider's a2ui.catalog (the #5774
path). Also fixes DemoButtonAgent, which never actually rendered: it
emitted the wrong activity content key (operations -> a2ui_operations)
and a non-canonical operation/component format. Rewritten to the A2UI
v0.9 wire format (createSurface/updateComponents, flat components, root
id "root") so the surface paints and the Confirm round-trip works.
Same class as the toggle-theme fix: langgraph-js's 'schedule a meeting' chip
returned text, so the meeting picker never rendered, while langgraph-python emits
the scheduleTime tool call. scheduleTime is a registered langgraph-js frontend
tool (reasonForScheduling/meetingDuration) — swap text -> tool call, mirroring
langgraph-python. Because scheduleTime is Human-in-the-Loop (the user's pick
returns as a tool result and re-invokes the LLM), add a terminating
call_schedule_time_001 result fixture in BOTH templates so the turn doesn't
re-match the user message and loop (langgraph-python lacked it too — latent).
Verified both terminate at 2 steps (tool call -> terminating text).
The langgraph-js Toggle Theme chip returned a text response claiming it toggled
the theme, but emitted no tool call -- so the theme never changed, while the same
chip in langgraph-python emits the toggleTheme frontend tool call and works.
Identical chip, different outcome by template. Swap the text response for the
toggleTheme tool call, mirroring langgraph-python (frontend tool, no terminating
result fixture needed -> no loop). Verified aimock now returns the toggleTheme
tool call for the chip.
The chart-chain fixtures looped under multi-step tool execution: langgraph-python
emitted a 2nd tool call (pieChart/barChart/dashboard) with no terminating
toolCallId result fixture, so it fell through to the still-matching userMessage
fixture and re-called query_data. langgraph-js had its toolCallId result fixtures
ordered after the userMessage fixtures (first array match wins -> re-call).
Add the missing terminating result fixtures (langgraph-python) and reorder so all
toolCallId fixtures precede userMessage fixtures (langgraph-js). Verified termination
via the 2-3 step multi-turn repro; mastra fixtures already terminated.
The 6 OpenAI drop-in integration examples enabled for the CLI's keyless
AIMock mock mode shipped fixtures that did not cover the prompts each
starter's own UI suggests, so a keyless first-run user clicking the demo
suggestions mostly hit the generic catch-all. Re-key/extend each
example's fixtures/default.json (substring, most-specific-first,
catch-all last) so the surfaced suggestions return scripted replies.
ENT-1003.
Ports two fixes from the canonical oracle-cookbook demo into the oracle-agent-memory
showcase agent (server.py was byte-identical to the demo's pre-fix version):
1. Dangling tool-calls: booking conversationally calls the book_flight HITL tool,
which interrupts and emits an assistant tool_call awaiting the UI's Confirm/Cancel.
If the traveler sends another chat message instead, the unanswered tool_call made
the next turn 400 ("tool_call_ids did not have response messages"). _repair_dangling_tool_calls
synthesizes a "not completed" tool result for any dangling call before the history
reaches the graph. (Inverse of the duplicate-tool-block issue the history-replace
already handled — documented in docs/known-issues/agentspec-multiturn-toolcall-correlation.md.)
2. HTML-escaped persistence: the agentspec exporter HTML-escapes streamed deltas
(& < > -> & < >); the SSE generator persisted them raw, so assistant
replies were stored in Oracle Agent Memory as e.g. "fares < $700".
_clean_assistant_text html.unescapes the assembled text before persisting.
Both are reproduced + verified in oracle-cookbook (unit tests + in-browser); the ported
functions are byte-identical to the verified demo code.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Flag-gated (LANGGRAPH_CHECKPOINTER=oracle, default memory) AsyncOracleSaver from
langgraph-oracledb for durable per-thread LangGraph graph state in Oracle,
complementing oracleagentmemory. Default-safe (in-memory fallback). Mirrors
jerelvelarde/oracle-cookbook#4. Draft, stacked on #5563.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The StateStore interface and the in-memory MemoryStore default remain;
durable backends can be reintroduced as a follow-up. Both adapter packages
were merged in #5613 but never published to npm, so removal is a clean
delete with no consumer impact.
- Delete packages/bot-store-redis and packages/bot-store-postgres.
- Revert the bot release scope and drift guard to bot + bot-ui.
- Strip the Redis dep, demo:restart script, restart demo, docker-compose,
and REDIS_URL env from examples/slack.
- Rewrite the bot persistence/transcripts docs around "MemoryStore default
+ implement the StateStore interface yourself for durability".
Sync the three travel-concierge UX fixes from the source repo
(jerelvelarde/oracle-cookbook#3) into the showcase:
- agent/concierge/server.py: persist memory in a serialized background task so
the SSE stream closes at RUN_FINISHED instead of blocking ~2-13s on memory
extraction + reconciliation (the post-generation loading lag). Adds a FastAPI
lifespan drain + background-task failure surfacing.
- frontend/.../FlightOptions.tsx: "Select this flight" now drives confirm -> book
entirely client-side, so the booking confirm card renders inline in view
instead of off-screen via a fresh agent turn. The conversational book_flight
HITL path is unchanged.
- frontend/e2e: add a covering test for the inline booking flow; rename
sendAndPersist -> sendAndAwaitRun (stream-close is no longer a "memory written"
signal now that persistence is backgrounded).
oxfmt --check + tsc --noEmit clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds examples/teams: a runnable Teams bot built on @copilotkit/bot-teams.
Demonstrates rendering charts from uploaded CSV files, inbound file
handling over the Graph API, and human-in-the-loop confirmation flows,
plus the Teams app manifest and packaging scripts.
The triage runtime connected its MCP clients with Promise.all, so a single
unreachable/misconfigured server (bad key, sidecar down, hang) rejected the
whole run and surfaced as a fatal "⚠️ Agent error: Failed to connect to
MCP server" — the bot was dead for every request, even ones needing no MCP.
Connect each server independently (Promise.allSettled) with an 8s timeout,
drop the ones that fail, and let the agent run with whatever's left (web search,
rendering, thread reading, and any MCP that did connect). A per-turn system note
lists any down sources so the model only tells the user a source is unreachable
if they actually ask for it, and never invents data. Connections are retried
each turn, so a transient outage self-heals.
Maxim