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copilotkit__copilotkit/showcase/integrations/google-adk/qa/shared-state-read-write.md
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Tyler Slaton ef1ca9808c feat(showcase/google-adk): QA-blitz parity ports — agent prompts, tool surface, e2e specs 
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>
2026-05-12 17:58:06 -07:00

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QA: Shared State (Read + Write) — Google ADK

Prerequisites

  • Demo is deployed and accessible at /demos/shared-state-read-write on the dashboard host
  • Agent backend is healthy (/api/health); GOOGLE_API_KEY is set on Railway; agent server is reachable at ${AGENT_URL}/shared-state-read-write

Test Steps

1. Basic Functionality

  • Navigate to /demos/shared-state-read-write; verify the page renders within 3s with the preferences + notes cards in the main column and the CopilotSidebar open by default on the right (cards stack vertically once the viewport drops below xl / 1280px)
  • Verify data-testid="preferences-card" is visible with heading "Your preferences"
  • Verify data-testid="notes-card" is visible with heading "Agent Scratch pad" and empty-state data-testid="notes-empty" reading "the agent will make observations about you and note them here!"
  • Verify the chat input placeholder is "Chat with the agent..."
  • Verify all 3 suggestion pills are visible with verbatim titles: "Greet me", "Remember something", "Plan a weekend"
  • Send "Hello" and verify an assistant text response appears within 10s

2. Feature-Specific Checks

UI Writes -> Agent Reads (preferences via agent.setState)

  • Type "Atai" into data-testid="pref-name"; verify data-testid="pref-state-json" updates to include "name": "Atai"
  • Change data-testid="pref-tone" to formal; verify the JSON preview reflects "tone": "formal"
  • Change data-testid="pref-language" to Spanish; verify the JSON preview reflects "language": "Spanish"
  • Click the Cooking and Travel interest pills; verify both show the selected style (border #BEC2FF, bg #BEC2FF1A) and the JSON preview's interests array contains both entries
  • Send "What do you know about me?"; verify within 10s the assistant reply references the name "Atai", a formal tone, Spanish, and the Cooking/Travel interests (the _inject_preferences before-model callback injects these into the system prompt each turn)
  • Click the "Plan a weekend" suggestion; verify the reply is tailored to the selected interests

Agent Writes -> UI Reads (notes via set_notes tool)

  • Click the "Remember something" suggestion (sends "Remember that I prefer morning meetings and that I don't eat dairy.")
  • Within 15s verify data-testid="notes-list" appears in the notes card and contains at least 2 data-testid="note-item" entries mentioning "morning meetings" and "dairy"
  • Verify data-testid="notes-empty" is no longer rendered
  • Send "Also remember I live in Berlin."; verify within 15s the notes list grows (previous notes preserved, new note added) — confirms the agent passes the FULL updated list per set_notes contract

UI Writes Back to Agent-Authored Slice (clear notes)

  • With notes present, verify data-testid="notes-clear-button" is visible
  • Click the Clear button; verify the notes list disappears and data-testid="notes-empty" re-renders
  • Ask "What do you remember about me?"; verify the agent no longer cites the cleared notes (state was written back by the UI via agent.setState({ notes: [] }))

Multi-Turn State Persistence

  • Change tone to playful and add the Music interest; send "Write me a one-line haiku greeting."; verify the reply is playful and references music
  • Send a follow-up "Do it again in French."; verify the reply remains playful, switches to French, and still acknowledges the music interest — confirms preferences persist across turns without being re-sent
  • Reload the page; verify preferences reset to defaults (tone: casual, language: English, empty interests, empty name) and notes reset to empty (state is per-session, seeded by the page's useEffect)

3. Error Handling

  • Attempt to send an empty message; verify it is a no-op (no user bubble, no assistant response)
  • Deselect all interests and clear the name; send "Who am I?"; verify the agent answers without crashing (the callback skips injection when preferences is empty)
  • Verify DevTools -> Console shows no uncaught errors during any flow above

Expected Results

  • Page loads within 3 seconds; assistant text response within 10 seconds
  • Preferences writes are reflected in pref-state-json synchronously on change
  • Agent-authored notes appear in notes-card within 15 seconds of a "remember" prompt, and the full prior list is preserved on subsequent set_notes calls
  • Clear button round-trips UI -> agent state and the agent loses access to the cleared notes on the next turn
  • No UI layout breaks, no uncaught console errors
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