mirror of
https://github.com/CopilotKit/CopilotKit.git
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Tyler Slaton
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>
74 lines
2.8 KiB
Markdown
74 lines
2.8 KiB
Markdown
# QA: Shared State (Reading) — Google ADK
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## Prerequisites
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- Demo is deployed and accessible
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- Agent backend is healthy (check /api/health)
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## Test Steps
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### 1. Basic Functionality
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- [ ] Navigate to the shared-state-read demo page
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- [ ] Verify the recipe card form loads (`data-testid="recipe-card"`)
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- [ ] Verify the CopilotSidebar opens by default with title "AI Recipe Assistant"
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- [ ] Send a message via the sidebar
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- [ ] Verify the agent responds
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### 2. Feature-Specific Checks
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#### Initial Recipe State
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- [ ] Verify the recipe title input shows "Make Your Recipe"
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- [ ] Verify the cooking time dropdown defaults to "45 min"
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- [ ] Verify the skill level dropdown defaults to "Intermediate"
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- [ ] Verify the default ingredients are displayed:
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- [ ] Carrots (3 large, grated) with carrot emoji
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- [ ] All-Purpose Flour (2 cups) with wheat emoji
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- [ ] Verify the default instruction is displayed: "Preheat oven to 350°F (175°C)"
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#### Suggestions
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- [ ] Verify "Create Italian recipe" suggestion is visible
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- [ ] Verify "Make it healthier" suggestion is visible
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- [ ] Verify "Suggest variations" suggestion is visible
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#### Recipe Editing (Local State)
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- [ ] Edit the recipe title and verify it updates
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- [ ] Change the skill level dropdown and verify it updates
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- [ ] Change the cooking time dropdown and verify it updates
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- [ ] Toggle a dietary preference (e.g. "Vegetarian") and verify it's pressed
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- [ ] Click "+ Add Ingredient" (`data-testid="add-ingredient-button"`) and verify a new empty row appears
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- [ ] Edit an ingredient name and amount
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- [ ] Remove an ingredient by clicking the "×" button
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- [ ] Click "+ Add Step" and verify a new instruction row appears
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- [ ] Edit an instruction and verify it saves
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- [ ] Remove an instruction by clicking the "×" button
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#### AI-Powered Recipe Updates (useAgent with shared state)
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- [ ] Click "Create Italian recipe" suggestion
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- [ ] Verify the agent acknowledges the request (the wired graph is a neutral chat agent and does not mutate state)
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- [ ] Verify the "Improve with AI" button (`data-testid="improve-button"`) changes to "Please Wait..." while loading
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- [ ] Click "Improve with AI" and verify the agent responds
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#### Agent Reads Frontend State
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- [ ] Edit the recipe (change title, add ingredients)
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- [ ] Ask the agent "What recipe am I making?"
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- [ ] Verify the agent's response references the current recipe state
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### 3. Error Handling
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- [ ] Send an empty message (should be handled gracefully)
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- [ ] Verify no console errors during normal usage
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- [ ] Verify the "Improve with AI" button is disabled while loading
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## Expected Results
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- Recipe card and sidebar load within 3 seconds
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- Agent responds within 10 seconds
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- Recipe state syncs from the UI into agent state every edit (agent does not write back)
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- No UI errors or broken layouts
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