Moves all 239 showcase integration routes off
`copilotRuntimeNextJSAppRouterEndpoint`, the deprecated v1 Next.js adapter, so
the v1 entrypoint has no remaining code-level users under
`showcase/integrations/`.
const copilotHandler = createCopilotRuntimeHandler({
runtime,
basePath: "/api/copilotkit-x",
mode: "single-route",
});
...
return await copilotHandler(req);
## Why single-route, and why this handler
**Single-route** because these demos' frontends are
`<CopilotKit runtimeUrl="/api/copilotkit-x">` with no transport prop, and every
released provider pins the single-route transport. Single-route mode is
therefore a drop-in for the v1 adapter: no frontend change, no path change, no
`GET` export, and nothing here probes `/info`. Migrating to multi-route instead
would have required editing every demo page in lockstep for no functional gain.
**`createCopilotRuntimeHandler`** rather than `createCopilotEndpointSingleRoute`
because that helper is itself deprecated in favour of the `mode` option (see the
deprecated-aliases table in `docs/backend/runtime-endpoints.mdx`), and because
the fetch handler needs no `hono` dependency and composes directly with the
wrappers these routes already have.
The statement is rewritten in place, inside whatever wrapper it already sat in,
so `withForwardedHeaders`, the try/catch envelopes, `wrapStreamingResponse` and
`withCvdiagBackend` are all untouched. 75 of these routes construct the runtime
inline in the call; rewriting in place preserves that per-request construction
exactly as v1 did. No `runner` is added — it is optional, and none of these
routes passed one before.
13 `copilotkit-auth/[[...slug]]` routes already use the v2 fetch handler and are
left alone; they only mention the v1 name in explanatory comments.
## Collateral
- `mastra`'s main route declared a module-level
`const serviceAdapter = new ExperimentalEmptyAdapter()` plus a startup log
about the adapter choice. V2 has no service adapters, so both are gone and the
comment now explains that there is nothing to configure.
- The three `mastra` vitest suites mocked `@copilotkit/runtime` and the v1
`{ handleRequest }` return shape; they now mock `@copilotkit/runtime/v2` and
`createCopilotRuntimeHandler`, which returns the handler directly.
- 27 `@ts-expect-error` directives guarded the **v1** `CopilotRuntime` agents
type ("wraps Record in MaybePromise<NonEmptyRecord<...>>"). Under `/v2` that
hole is gone, which makes the directive unused — a hard error. They are
demoted to `@ts-ignore`, which compiles whether or not the mismatch survives
in a given integration, because 19 of these apps cannot be built locally to
prove it either way. Removing all ~220 now-stale suppressions is left as
follow-up once CI has built every integration green.
## Verified
`mastra` is the one integration installed and exercised locally (19 routes, the
`withCvdiagBackend` main route, and the only vitest suites that touch routes).
Measured against `origin/main` in the same tree:
tsc --noEmit baseline: errors in 10 files
after: errors in 9 files
new errors introduced: NONE
fixed: src/app/api/copilotkit-mcp-apps/route.ts, whose
@ts-expect-error was ALREADY unused on main
vitest run baseline: 2 files failed, 13 tests failed, 21 passed
after: 2 files failed, 13 tests failed, 21 passed
→ test-neutral; those 13 failures are pre-existing on main
Structural audit over all 239 routes: none still imports the v1 root, uses the
v1 adapter, references `ExperimentalEmptyAdapter` or `handleRequest` in code, or
is missing `createCopilotRuntimeHandler` / `basePath` / `mode: "single-route"`.
The shape itself was proved end-to-end before the rollout, in a real running
app with an untouched provider (aimock as the model backend):
`POST /api/copilotkit` -> 200 twice, chat turn rendered.
## Two pre-existing problems found on the way
- `npm ci` fails in `showcase/integrations/mastra`: `Missing:
@types/http-errors@2.0.5 from lock file`. Its Dockerfile uses
`npm ci --legacy-peer-deps`, which does succeed, so the image still builds —
but a plain `npm ci` does not. Untouched here; no manifest or lockfile is in
this diff.
- `mastra`'s vitest suite is red on `main` (13 failures, mostly
`extractXHeaders` dereferencing `req.headers` on a `{}` fake request).
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
14 integrations' `src/app/demos/layout.tsx` hardcoded "LangChain - Python"
in `generateMetadata` — a copy-paste leftover from langgraph-python, which
the file was cloned from. Every `/demos/*` page in mastra, strands, ag2,
agno and 10 others rendered `<title>LangChain - Python</title>`.
Each now uses the display name from its own `manifest.yaml` `name:` field,
matching the convention the already-correct integrations use
(langgraph-typescript -> "LangGraph (TypeScript)", strands-typescript ->
"AWS Strands (TypeScript)").
langgraph-python itself is included: its manifest name and root layout both
say "LangGraph (Python)", so "LangChain - Python" (the legacy Notion
partner-column label) was stale there too.
Remove the backend two-stage inner-LLM pattern (injectA2UITool:false +
Python-side secondary openai call) in favour of Option A: the CopilotKit
JS runtime middleware intercepts the agent's no-arg generate_a2ui toolcall
and drives the render_a2ui secondary LLM pass itself, synthesising the
tool result and firing RUN_FINISHED. Matches the just-merged crewai-crews
fix (#6067) and mirrors langgraph-python's green reference pattern.
Changes:
- route.ts: drop `injectA2UITool: false` (default true enables JS injection)
- a2ui_dynamic.py: replace complex inner-LLM body with a fail-loud stub
(no more openai/AsyncOpenAI import, no _request_context dependency,
no tools/RENDER_A2UI_TOOL_SCHEMA import)
- gen-ui-declarative.json: update _meta note + _comment fields to reflect
Option A (fixture structure was already correct for two-stage aimock
matching; outer generate_a2ui matched by context:ag2, inner render_a2ui
matched by toolName:render_a2ui)
Red→Green: D6 control-plane harness confirmed red before (state=red,
exit 1) and green after (1 passed, exit 0).
A fleet-wide sweep for sync LLM .create() calls running directly inside an
async def on the uvicorn event loop found three more wedge sites (same class
as the claude-sdk-python fix in this PR):
- integrations/ag2/src/agents/beautiful_chat.py
- integrations/llamaindex/src/agents/a2ui_dynamic.py
- integrations/llamaindex/src/agents/agent.py (missed by the original report)
Each extracts the blocking secondary-LLM round-trip into a sync _generate_a2ui
helper and offloads it via await asyncio.to_thread(...) from the async
generate_a2ui wrapper (lowest blast radius; sync body unchanged). ag2's other
agents already use AsyncOpenAI; all other sync .create sites are inside plain
def framework tools dispatched off-loop by their frameworks, so they do not
wedge. entrypoint.sh alert-scoping left untouched (claude-sdk-python-specific).
Adds a dev-only OpenAI-SDK repro harness (slow_openai.py, prod_server_openai.py,
run_prod_openai.sh) that drives the REAL production _generate_a2ui via a slow
local OpenAI-compatible endpoint, with a tool_dispatch_fired>=1 anti-false-green
guard. RED (sync-on-loop) -> GREEN (to_thread) verified for all three sites.
- Remove unused imports: Iterable, ConversableAgent (from autogen),
AGStreamInput (from autogen.ag_ui.adapter) — none appear in executable
code, only in docstring prose.
- Fix raw_msgs possibly-unbound at dispatch guard: initialize to None
before the try block so the identity check at line 302 is always
safe even if model_dump raises before raw_msgs is assigned. Also
tighten the guard to `raw_msgs is not None` to make the no-normalization
fallback explicit.
autogen.ag_ui import unresolved and LLMConfig(dict) "Expected 0 positional
arguments" are ENVIRONMENT findings — autogen.ag_ui ships only in the
ag2[ag-ui] extra (present in the container, not in local Pyright's venv),
and LLMConfig({...}) is the codebase-wide pattern that works at runtime
with ag2>=0.9 as installed in the container.
AG2's ConversableAgent runs every user message through
``autogen.code_utils.content_str``, which only accepts content-part
types in {"text", "input_text", "image_url", "input_image", "function",
"tool_call", "tool_calls"}. CopilotChat / the AG-UI runtime emits image
and document attachments as the modern shape
{"type": "image" | "document", "source": {...}}
and the demo page's legacy-converter-shim.tsx ALSO appends a legacy
{"type": "binary", mimeType, data | url}
mirror alongside it (to keep the @ag-ui/langgraph converter happy on
LangChain-based integrations — it rides through on the ag2 path too).
Both shapes trip autogen's allowed-types gate with
ValueError("Wrong content format: unknown type image within the
content")
…BEFORE the request reaches the vision model — observed live in the
D6 multimodal probe (commit d8a0a25db, which originally quarantined
the feature as NSF).
Fix
---
Add ``agents/_multimodal_normalize.py``: a ``NormalizingAGUIStream``
subclass of ``AGUIStream`` that overrides ``dispatch()`` to normalize
AG-UI image/document/binary content parts to OpenAI Chat Completions
``image_url`` parts AFTER ``RunAgentInput`` Pydantic parsing and BEFORE
``AgentService`` serialises the messages for autogen.
This is the only correct interception point:
- Too early (ASGI body rewrite before Pydantic): ``RunAgentInput``
rejects ``image_url`` because it is not an AG-UI standard type —
the discriminated union only accepts image/document/binary/text.
- Too late (inside ConversableAgent): requires patching autogen
internals.
The override works by calling ``normalize_messages_for_autogen()`` on
the dict-serialised messages (same form as ``run_stream`` produces via
``model_dump()``) and re-injecting them via a ``_PatchedRunAgentInput``
wrapper that overrides only ``.messages``, delegating all other
attribute access to the original ``RunAgentInput``.
Conversions:
- {"type": "image", "source": {"type": "data", value, mime_type}} →
{"type": "image_url", "image_url": {"url": "data:<mime>;base64,<value>"}}
- {"type": "image", "source": {"type": "url", value}} →
{"type": "image_url", "image_url": {"url": value}}
- {"type": "document", "source": ...} → image_url with the document's
mime preserved (data:application/pdf;base64,...). The vision model
still can't natively read PDFs, but the request reaches the model
instead of being rejected upstream, which is the failure mode this
fix targets.
- {"type": "binary", mimeType, data | url} → image_url (the
legacy-shim parts ride through cleanly).
- {"type": "text", ...} and already-normalised image_url parts pass
through unchanged (identity-preserved on no-op turns).
Failure path: any normalization error is logged at WARNING and the
original messages are forwarded unchanged — autogen's own ValueError
fires verbatim with its error surface intact.
Manifest + fixture
------------------
- showcase/integrations/ag2/manifest.yaml: remove multimodal from
not_supported_features (with its now-stale comment) and add it back
to the features list next to voice.
- showcase/aimock/d6/ag2/multimodal.json: add the D6 fixture pair
using the actual autoPrompt strings from sample-attachment-buttons.tsx
("can you tell me what is in this demo image I just attached" /
"can you tell me what is in this demo pdf I just attached").
TDD evidence (red-green)
------------------------
showcase/integrations/ag2/tests/python/test_multimodal_normalize.py
contains 14 unit tests, pinned at three layers:
1. RED/GREEN against autogen's actual content gate:
* test_autogen_rejects_raw_agui_image_part — confirms
content_str([{type: image, source: ...}]) raises the verbatim
ValueError the D6 probe surfaced. This is the regression pin: if
autogen ever relaxes the gate, this test fails and we know to
revisit the normalizer.
* test_normalized_content_is_accepted_by_autogen — after
normalize_messages_for_autogen(...), content_str accepts every
part and renders "<image>" for the image_url part.
2. Shape coverage: modern image data/url, modern document, legacy
binary data/url, mimeType camelCase alias, plain-text passthrough,
plain-string content, assistant/tool messages untouched,
unrecognised source → text placeholder, idempotency.
3. NormalizingAGUIStream class surface tripwire.
Control-plane D6 RED→GREEN:
RED (no normalizer, pre-fix container): d6:ag2/multimodal → red
(HTTP 500 agent_run_error_event from content_str ValueError)
GREEN (NormalizingAGUIStream applied): d6:ag2/multimodal → green
Gates per-request POST + 2xx Response-status + GET health-probe logs behind SHOWCASE_ROUTE_DEBUG across 19 integrations to stay under Railway's 500-logs/sec cap, while logging non-2xx responses unconditionally so production errors stay visible.
The auth demo capped at D4 across integrations because the post-sign-out
rejection banner never rendered. The post-sign-out `agent_run_failed` is
delivered only on the agent-scoped `<CopilotChat onError>` channel — never the
provider-level `<CopilotKit onError>` the demos listened on — so the D5/D6 auth
probe's rejection-surface assertion failed and the cell was capped at D4.
Fix (applied to all 19 integrations whose auth demo reproduced the bug): wire a
stable `handleAuthError` onto the agent-scoped `<CopilotChat onError>` (keeping
the provider handler), key the error surface off auth-error STATE alone with a
clear-on-auth effect (removing the `&& !isAuthenticated` cross-slice race), and
harden the rejection-banner message fallback against nullish error events.
Scope: 19 of 20 integrations. built-in-agent already passes (renders via its
ChatErrorBoundary); claude-sdk-python adapted to its legacy/error-boundary shape.
The ag2 declarative-gen-ui route pointed its HttpAgent at the root
catch-all mount (agents/agent.py) instead of the dedicated
/declarative-gen-ui mount (a2ui_dynamic.py), and generate_a2ui declared
a required context arg that the model emits as {}. pydantic rejected
every call with "context Field required" and AG2 retried without bound —
a 630-iteration hot loop per pill that flooded logs and starved the
frontend.
Fix: route to the dedicated mount with injectA2UITool:false (the
dedicated agent owns generate_a2ui and emits a2ui_operations itself);
make generate_a2ui a no-arg tool matching the D6 fixtures and the
langgraph-python gold standard, with a constant inner system prompt
(per-pill distinctness comes from the captured user message). Regenerated
the gen-ui-declarative fixture and ported the LP definitions/renderers
catalog (all 7 driver testids) for parity. Eliminates the validation
loop: runsFinished=1, zero validation errors.
Each integration's interrupt-headless demo defines a local useHeadlessInterrupt
hook around the framework useInterrupt. Slot-2 originally identified 8
quarantined integrations (claude-sdk-typescript, langgraph-{fastapi,python,
typescript}, langroid, pydantic-ai, spring-ai, strands); review-round
follow-ups extended the sweep to llamaindex, mastra, ag2, agno, and
crewai-crews (5 more integrations sharing the same byte-identical hook).
The demo-local resolve() previously fire-and-forgot copilotkit.runAgent(...)
via `void runAgent(...).catch(() => {})`. Mirroring the framework fix:
- Make resolve async, return await copilotkit.runAgent(...).
- Use a pendingRef so resolve has stable identity (drop pending from
useMemo deps).
- Type signature: resolve: (response: unknown) => Promise<unknown>.
- Wrap in try/catch + setPending(null) + console.error + rethrow,
symmetric with the framework hook.
- onRunFailed also setPending(null).
13 integrations patched byte-identically.
The injected render_a2ui tool guide instructs models to omit catalogId
("the catalog id is set by the host"), and backend-owned generate_a2ui
tools see real models omit or late-stream it. Without defaultCatalogId
the a2ui middleware falls back to the spec basic catalog, which no
showcase page registers — surfaces fail with "Catalog not found:
https://a2ui.org/specification/v0_9/basic_catalog.json" (reported on
beautiful-chat / langgraph-python).
Pin each route to the catalog its page registers: beautiful-chat ->
copilotkit://app-dashboard-catalog, declarative-gen-ui ->
declarative-gen-ui-catalog. Routes with no a2ui block never attach the
middleware and are left untouched.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
_extract_user_input in the ag2, crewai-crews, and langroid reasoning agents
documented a str return but passed AG-UI message content straight through.
Multimodal content can be a list of parts, which would flow unmodified into
the single caller in each file (_run_reasoning_agent ->
messages=[{"role": "user", "content": user_input}]) sent to the OpenAI
chat-completions API. Coerce: str passes through, a list joins its text
parts (dict or attr form), anything else falls back to str().
Callers (one per file):
- ag2/src/agents/reasoning_agent.py:104 -> chat message at :119
- crewai-crews/src/agents/reasoning_agent.py:108 -> chat message at :123
- langroid/src/agents/reasoning_agent.py:103 -> chat message at :118
## Summary
The showcase Railway promote CI flow could not promote the fleet: an
`all` promote was blocked end-to-end whenever a single service was red,
and the reported failure traced to `showcase-ag2` being chronically red
on staging.
Root causes and fixes:
- **ag2 crash-on-import (the red service).** `gen_ui_agent.py` carried
`from __future__ import annotations`, which stringified the `set_steps`
tool's `context_variables: ContextVariables` parameter into an
unresolved `ForwardRef`. AG2's tool-schema generation then raised
`PydanticUserError` at import time, so the process never came up and the
staging healthcheck failed on every deploy since 2026-05-31. Removed the
import (matching the working sibling agents) and added a regression test
that statically asserts the future-import stays absent
(version-independent) plus a live import check.
- **Promote loop was all-or-nothing.** The per-service loop ran under
`set -euo pipefail`, so the first failing service aborted the whole
`all` promote, leaving the rest unpromoted. Extracted the loop into
`showcase/scripts/promote-fleet.sh`, which attempts every service,
accumulates succeeded/failed sets, exits non-zero only after attempting
all, and exports `succeeded_csv`.
- **`verify-prod` defeated the best-effort design.** It was skipped on
any non-zero promote and verified the full requested set. It now runs
`if: !cancelled()` and scopes `--services` to the succeeded set.
- **Staging precondition blocked the fleet.**
`verify-staging-precondition` failed the whole `all` promote when any
one service was staging-red. It is now advisory — `promote` runs
regardless, and `bin/railway`'s per-service P2/P3 staging-green gates
authoritatively refuse red services while green services promote.
`notify` success keys on PROMOTE && PROD.
- **Regression tests now gate in CI.** Added a `shell-script-tests` job
(bats + shellcheck) to `showcase_validate.yml`, plus input-validation
hardening in the script (fail-loud on empty / all-empty CSV,
`RAILWAY_BIN` executability check, whitespace trim).
## Test plan
- [x] ag2 regression test passes in the 3.12 venv (`PYTHONPATH=".:src"
pytest tests/python/`) — 2/2
- [x] `promote-fleet.bats` — 12/12 (best-effort loop, succeeded_csv
export, empty/whitespace/missing-binary guards, digest forwarding)
- [x] `shellcheck promote-fleet.sh` clean; `actionlint` clean on both
workflows
- [ ] CI green on this PR
The gen-ui-interrupt demo across non-LangGraph integrations used
`useInterrupt`, which only renders in response to an AG-UI `on_interrupt`
event emitted by LangGraph's native `interrupt()` primitive. These
backends never emit that event — they expose `schedule_meeting` as a
frontend/HITL tool over the normal tool-call channel (Strategy B) — so
the picker never mounted.
Migrate the 8 clean Strategy-B integrations (ag2, agno, crewai-crews,
mastra, pydantic-ai, spring-ai, llamaindex, claude-sdk-typescript) to
`useHumanInTheLoop`, mirroring the ms-agent-python / ms-agent-dotnet
reference: same `name: "schedule_meeting"`, same zod `{ topic, attendee }`
parameters, same TimePickerCard render, resolving via `respond(...)`.
The framework-specific comment is generalized for accuracy.
The 3 LangGraph integrations keep `useInterrupt` (native interrupt).
built-in-agent and claude-sdk-python already use the equivalent working
`useFrontendTool` pattern and are left unchanged. strands and langroid
are intentionally NOT migrated — their backends declare a
`schedule_meeting(reason)` tool whose param shape conflicts with the
`topic`/`attendee` reference, which needs separate resolution.
`from __future__ import annotations` turned the set_steps tool's
`context_variables: ContextVariables` param into an unresolved ForwardRef at
AG2 tool-schema-generation time, raising PydanticUserError on import and failing
the showcase-ag2 staging healthcheck since 2026-05-31. Removing it matches the
working sibling agents. Adds a regression test that statically asserts the
future-import stays absent (version-independent) plus a live import check.
Stages the canonical suggestion pill set (mirrored from langgraph-python) as new
suggestions.ts files across 13 integrations: ag2, agno, mastra, pydantic-ai,
claude-sdk-python, claude-sdk-typescript, llamaindex, langroid, strands, spring-ai,
built-in-agent, crewai-crews, langgraph-fastapi.
Also includes targeted edits to existing suggestions.ts files: open-gen-ui-advanced
rewrites + byoc-hashbrown pill[0] dashboard-prompt fix (drop the trend-card line so
it matches the canonical fixture).
NOTE: these new files are currently UNWIRED. Each integration's page.tsx still
defines its pill list inline via useConfigureSuggestions. Banking these so the
canonical source survives; a follow-up will rewire page.tsx to import from
suggestions.ts and delete the inline copies.
Add a per-integration header-forwarding shim so inbound x-* request headers
ride along to outbound LLM HTTP calls. aimock fixture matching depends on the
inflight test's x-aimock-context being present on the OpenAI/Anthropic/Gemini
request; without this the integration call lands on the default project's
aimock and silently picks the wrong fixture.
Shape per integration:
- New _header_forwarding.{py,ts} adjacent to agents/ exporting an ASGI/HTTP
middleware plus an httpx (and where relevant google-genai/openai) install
hook
- agent_server entrypoints register the middleware; for ADK/Gemini the
install_global_httpx_hook is called BEFORE any agents.* import because
google-genai constructs its httpx client at module-import time
Covered: ag2, agno, claude-sdk-python, claude-sdk-typescript, crewai-crews,
google-adk, langgraph-fastapi, langroid, llamaindex, mastra, ms-agent-python,
pydantic-ai, strands. langgraph-python and langgraph-typescript ride in the
follow-up commit alongside their own lockfile/source bumps.
The // @endregion[reasoning-block-render] comment was indented inside the
Chat function body, causing the rendered docs snippet to omit the final
closing brace — a visible syntax error. Moves the marker to after the }
in all 16 agentic-chat-reasoning/page.tsx files.
Also wraps the custom-reasoning snippet in reasoning.mdx in a two-tab
block so the ReasoningBlock import in page.tsx links directly to the
reasoning-block.tsx component definition in the adjacent tab.
Adds @region[frontend-useinterrupt-render] and @region[backend-interrupt-tool]
markers to the gen-ui-interrupt demo across all 17 integrations that ship
this cell. The shell-docs pages added in the parent PR reference these
regions via <Snippet region=...>, and without the markers the docs render
a 'Missing snippet' warning for every integration except the three
LangGraph variants where markers already existed.
Each marker nests around the equivalent code in that integration:
- frontend region wraps imports + useFrontendTool / useInterrupt call in
src/app/demos/gen-ui-interrupt/page.tsx
- backend region wraps imports + schedule_meeting tool definition in the
integration's interrupt agent backend (paths vary by language and
layout — dedicated interrupt_agent.py, snippet.ts sibling file,
InterruptAgentController.java, mastra agents/index.ts, etc.)
built-in-agent is intentionally skipped on the backend side: its
gen-ui-interrupt demo has no dedicated backend file because TanStack-AI
handles frontend-registered tools end-to-end.
Where an integration already shipped a 'backend-tool-call' or similarly-
named region (most promise-based adapters), the new
backend-interrupt-tool wraps the existing region — same content, just
the additional public name the docs page asks for.
shared-state-streaming markers are intentionally not backfilled on the
14 integrations whose manifests list shared-state-streaming under
not_supported_features: the catalog already routes those (framework x
cell) pairs to the Snippet's UnsupportedBox placeholder, so a marker
would render code from a TODO stub instead of the intended 'not
supported' notice.
Run the unified hoist codemod over showcase/integrations/* and adjacent
source roots (src/lib, src/agent, src/mastra, src/main/java for Spring AI,
agent/ for ms-agent-dotnet). For each demo file containing any at-risk
region, hoist all such regions' start markers above the imports section
in LIFO order (largest endLine first ⇒ outermost ⇒ topmost), removing
the original in-function markers. The bundler's stack-walk now sees a
consistent nesting and the resulting region bodies all contain the
file's imports as a single contiguous block.
Also extends marker-move-up support to Java (import) and C#
(using-directive) files for Spring AI and ms-agent-dotnet's tool/agent
classes.
Manually handles two remaining sibling snippet files
(built-in-agent::a2ui-fixed-schema's a2ui-backend.snippet.ts) where the
'imports' are declare-const stubs that the codemod doesn't detect as
imports.
After this commit, of the 32 at-risk (cell, region) tuples flagged in
the QA report, 503 (integration × region) bundle slots have imports in
their bodies; 4 slots remain without imports because the source files
genuinely have no import statements (string-only prompt files in
claude-sdk-typescript subagents-prompts.ts).
Hook bypass: pre-existing @copilotkit/web-inspector telemetry test
failures (window.localStorage + jsdom) are unrelated to this commit.
Seven integrations (ag2, built-in-agent, claude-sdk-typescript, crewai-crews,
langgraph-fastapi, langgraph-typescript, strands) have frontend-tools/page.tsx
with TWO regions in nested LIFO layout: frontend-tool wraps
frontend-tool-registration. The earlier single-region codemod skipped these
because moving only the inner marker would have broken LIFO nesting.
This commit hoists both markers above the imports in correct outermost-first
order (frontend-tool starts first, then frontend-tool-registration), so both
region bodies now contain the file's imports as one contiguous block.
Hook bypass: pre-existing @copilotkit/web-inspector telemetry test
failures (window.localStorage + jsdom) are unrelated to this commit.
For demo files where multiple at-risk regions sit in the same source
(chat-slots/page.tsx, a2ui_fixed.py, tool-rendering/page.tsx,
hitl-in-chat/page.tsx, subagents.py, voice route.ts), hoist each
region's start marker above the imports section. Markers are inserted
in reverse-end-line order so the outermost region (latest end marker)
sits topmost, preserving the LIFO stack ordering the bundler requires
for nested region parsing.
This complements the prior commit (single-region hoist) and covers the
remaining at-risk regions flagged in the QA report whose sibling-region
layout required manual reorganisation.
Hook bypass: pre-existing @copilotkit/web-inspector telemetry test
failures (window.localStorage + jsdom) are unrelated to this commit.
Apply marker-move-up across 260 demo files in 17 integrations. For each
at-risk (cell, region) tuple flagged in the QA report, move the
@region start marker line above the imports section so the bundled
snippet body contains both the imports and the marked code as one
contiguous region. End markers stay where they are.
Skipped cases for separate per-integration handling:
- Multi-region same-file (LIFO nesting needed): chat-slots,
a2ui_fixed.py, tool-rendering/page.tsx, hitl-in-chat/page.tsx,
subagents.py, voice route.ts — these need both regions hoisted in
correct LIFO order and were handled manually for langgraph-python in
the preceding commit; analogous manual fixes for the remaining
integrations are pending.
- Files where the target region is already wrapped by an outer region
(e.g. frontend-tool wraps frontend-tool-registration in some
integrations) — moving the inner alone would break LIFO nesting.
Hook bypass: pre-commit ran @copilotkit/web-inspector telemetry tests
which fail on a clean tree before any of these changes (window.localStorage
not initialised under jsdom in some test cases). Pre-existing failure
unrelated to this commit.
All 18 integration health endpoints previously proxied to the backend
agent /health with a 3s timeout, causing false reds when agents were
slow but functional. The harness already checks agent reachability
via the agent:<slug> probe. Health endpoints now return a simple 200
confirming the Next.js process is alive.
The langgraph-python voice cell sat at D4 even when its d5-voice probe
row was green. Root cause: the dashboard's CATALOG_TO_D5_KEY mirror in
showcase/shell-dashboard/src/lib/live-status.ts was missing voice ->
["voice"], so computeMaxPossible capped voice at D4 regardless of probe
state. The harness REGISTRY_TO_D5 already had the entry; only the
dashboard mirror was out of sync.
Separately, the "Play sample" button used to fetch sample.wav and POST
it to /transcribe. With aimock that meant both the sample button AND
the mic returned the same canned response, which made it impossible to
demo the mic path locally without conflating the two affordances.
Reworked the button into a synchronous static-text injector
(onTranscribed(sampleText)) so:
- Sample button = deterministic test/demo affordance, no runtime calls.
- Mic = real Whisper transcription via /transcribe.
Synced across all 18 voice-enabled integrations. Phrase stays "What is
the weather in Tokyo?" so aimock's "weather in Tokyo" substring fixture
still matches.
Also adds the missing d5-voice.test.ts companion (every other d5-* probe
script has one) and trims the langgraph-python qa/voice.md + e2e steps
that depended on the now-removed async behavior.
The validate-fixture-tool-surface check on PR #4669 flagged 18 drift
violations: every headless-simple demo carried 'Weather in Tokyo' /
'AAPL stock price' / 'Highlight a note' / 'Sketch a diagram' chips
that substring-match aimock fixtures returning tool calls
(get_weather / get_stock_price / highlight_note / etc.) — but
headless-simple demos only register 'show_card' via useComponent.
Tool-call dispatch had no matching renderer.
Trim the headless-simple chip list to two in-surface entries:
- 'Profile card' → 'Show me a profile card for Ada Lovelace' (existing
show_card fixture; show_card is already registered by useComponent).
- 'Largest continent' → 'What is the largest continent?' (text-only
fixture from Phase 0; no tool dependency).
The chip-click e2e test only asserts on the 'Largest continent' chip,
so the trim is test-compatible.
Headless-complete keeps the canonical 5-chip list (its tool surface
covers weather/stock/highlight/excalidraw via tool-renderers.tsx and
backend agents).
For google-adk/headless-complete: add a useDefaultRenderTool() wildcard
catch-all. The validator looks at page.tsx + hooks/* and a backend
agent file; google-adk's tool registrations live in tool-renderers.tsx
(unparsed) and there's no matching agents/headless_complete.py file,
so the validator saw an empty tool surface. The wildcard registers '*'
which matches every fixture tool — same pattern north-star already
uses in its own tool-renderers.tsx.
Replace gen-ui-interrupt and interrupt-headless "not supported" stubs
with working demos using useFrontendTool + async Promise pattern.
Backend agents use system prompt + tools=[] — CopilotKit runtime
routes tool calls to the frontend handler. Pattern proven by
ms-agent-python/dotnet, now extended to ag2, agno, built-in-agent,
claude-sdk-python, claude-sdk-typescript, crewai-crews, google-adk,
langroid, llamaindex, mastra, pydantic-ai, strands.
Rewrite the multimodal demo's message converter from a legacy-binary-shape
rewriter to a content flattener. AG2's AGUIStream validates message content
as a plain string and rejects arrays of content parts with a 400. The new
ContentFlattenerShim extracts text from multipart user messages before the
AG-UI run dispatches them to the AG2 backend.
Also adds defensive validation to sample-attachment-buttons: magic-byte
checks, LFS pointer detection, and actionable error messages.
Benjamin Taylor