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ef1ca9808c
Result of 10 parallel QA agents auditing all 30 active demos against
langgraph-python (north-star). Each agent ported drift back to LP-verbatim
across three axes:
1. Agent layer
- tool_rendering_common.py: rebuilt to LP's surface — get_weather,
search_flights(origin, destination), get_stock_price, roll_d20,
roll_dice. Removed the ADK-only query_data.
- tool_rendering_*_agent.py (4 variants): ported LP's travel/concierge
prompt; reasoning-chain variant got LP's chain-two-tools prompt.
- beautiful_chat_agent.py: ported LP's per-tool system prompt; added
manage_sales_todos / get_sales_todos / generate_a2ui; dropped the
redundant schedule_meeting (frontend HITL handles it).
- open_gen_ui_agents.py: ported LP's full SYSTEM_PROMPT for both
variants, including the Websandbox.connection.remote.* contract
for the advanced sandbox demo (was `window.sandbox.*`, which the
LP frontend's Websandbox bridge silently no-ops).
- byoc_agents.py: fused LP's hashbrown + json-render prompts so the
single ADK byoc_agent emits both wire shapes. Aliases exported for
a future per-route split.
- declarative_gen_ui_agent.py: ported LP's a2ui_dynamic SYSTEM_PROMPT.
- a2ui_fixed_agent.py: picked up LP's #4734 regression guard
("exactly ONCE", "do NOT call again").
- agent_config_agent.py: rewrote to read useAgentContext (was
state["config"]); reconciled schema to LP's 3-field camelCase
{tone, expertise, responseLength} with LP's value enums.
- subagents_agent.py: dropped the "running" placeholder; returns
plain str so the LP-verbatim frontend's `result?.trim()` works.
- hitl_in_app_agent.py / hitl_in_chat_book_call_agent.py: prompts +
tool-result shape ({approved, reason}) aligned to LP.
- AGUIToolset() added wherever it was missing on the bespoke agents
(multimodal, mcp_apps, a2ui_fixed) so frontend-registered tools
reach the model.
2. Dedicated runtime routes
- copilotkit-multimodal/route.ts (new) — mirrors LP shape with
ADK's HttpAgent + AGENT_URL pattern.
- copilotkit-agent-config/route.ts (new) — same pattern.
- copilotkit-mcp-apps/route.ts — refreshed.
3. Frontend ports (ADK frontend brought to LP-verbatim where it had
drifted from the parity blitz state)
- tool-rendering family (4 demos): full re-port — WeatherCard,
FlightListCard, StockCard, D20Card, ReasoningBlock, CatchallRenderer,
suggestions, and the page wiring with all useRenderTool /
useDefaultRenderTool / reasoningMessage registrations.
- a2ui-fixed-schema, mcp-apps, multimodal: full frontend re-ports
with their _components/ Tailwind primitives.
- frontend-tools, frontend-tools-async, agent-config: ported LP's
component structure (separate Background, NotesCard with query_notes,
config-context-relay).
- shared-state-read, shared-state-read-write, readonly-state-agent-context:
ported LP's demo-layout + _components + suggestions. recipe-card.tsx
pulled directly from LP (one QA agent had adapted to Unicode glyphs
thinking ADK lacked lucide-react — it doesn't, after the parity blitz).
- shared-state-streaming, subagents, hitl-in-app: ported LP's
DocumentView / supervisor-activity / TicketsPanel structure.
hitl-in-app/page.tsx pulled directly from LP to keep the hyphenated
agent slug aligned with the renamed registry key.
- auth, hitl-in-chat: ported LP's SignInCard-first auth UX and the
time-picker Tailwind port.
- prebuilt-popup: pulled LP's main-content + suggestions split.
4. Test fixtures
- 30 tests/e2e/<slug>.spec.ts ported from LP, several overwriting
stale stubs (shared-state-streaming, subagents, auth, hitl-in-chat,
shared-state-read, agent-config).
- 30 qa/<slug>.md ported from LP with ADK env-var and registry
references substituted (GOOGLE_API_KEY, AGENT_URL, registry.py).
- QA3's byoc-hashbrown / byoc-json-render specs renamed to
declarative-hashbrown / declarative-json-render with internal
URL references substituted (the orchestrator pass had already
renamed the demo dirs + manifest entries).
Frontend changes from QA agents were filtered: kept where they ported
LP-verbatim into ADK, replaced with direct LP pulls where the agent
had made ADK-specific adaptations (one Unicode-glyph case, one
stale-registry-slug case).
Not touched per blitz rules: shared_chat.py, registry.py, manifest.yaml,
src/app/api/copilotkit/route.ts.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2.9 KiB
2.9 KiB
QA: Voice Input — Google ADK
Prerequisites
- Demo is deployed and accessible at
/demos/voice - Railway service
showcase-google-adkis healthy (/api/healthreturns 200) OPENAI_API_KEYis set on the Railway service for the dedicated voice runtime at/api/copilotkit-voice(required for the/transcribeendpoint)GOOGLE_API_KEYis set on the ADK agent backend for thevoice-demoagent (resolves to the neutral_simple_chatagent)- A modern browser that supports
MediaRecorder(Chromium, Firefox, Safari 14+) - Microphone hardware available (required only for the mic path in section 3)
- A bundled
public/demo-audio/sample.wavis present (used for screenshot/preview generation; the in-app sample button no longer fetches it)
Test Steps
1. Basic Functionality
- Navigate to
/demos/voice - Verify the page header "Voice input" is visible
- Verify the sample-audio row (
data-testid="voice-sample-audio") is visible - Verify the caption reads
Sample: "What is the weather in Tokyo?" - Verify the "Play sample" button (
data-testid="voice-sample-audio-button") is enabled - Verify
<CopilotChat />renders a message composer (data-testid="copilot-chat-input") - Verify the composer shows a microphone button (
data-testid="copilot-start-transcribe-button") — this is the authoritative signal thattranscriptionServiceis mounted on/api/copilotkit-voice
2. Sample-audio path (no mic permission required)
- Click the "Play sample" button
- Immediately, the chat textarea (
data-testid="copilot-chat-textarea") contains the canned phrase "What is the weather in Tokyo?" (no async round-trip; no "Transcribing…" state) - The button stays enabled
- Click send (
data-testid="copilot-send-button") - Within 10 seconds, the agent responds with a text answer or a weather-related tool render (WeatherCard, custom-catchall card, or default tool card — depending on which tool-rendering mode is active on this page)
3. Mic path (manual)
- Click the microphone button (
data-testid="copilot-start-transcribe-button") in the composer - Grant microphone permission at the browser prompt
- Speak "Hello" clearly, then click the mic button again (now
data-testid="copilot-finish-transcribe-button") to stop recording - Within 5 seconds, the textarea contains text matching "hello" (case-insensitive)
- Click send
- Agent responds within 10 seconds
4. Error Handling
- Deny microphone permission, click the mic button
- Verify the UI handles permission denial gracefully (no crash, mic button remains visible)
Expected Results
- Sample button click populates the textarea synchronously (no perceptible delay)
- Agent response renders within 10 seconds of send
- No console errors during the successful paths
- Whisper transcription via the mic path returns text resembling what was spoken (deployment must have
OPENAI_API_KEYconfigured)