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Adds real working Shared State (Read+Write) and Sub-Agents demos to 15 showcase integrations, mirroring the canonical langgraph-python and google-adk reference implementations. Fills rows previously empty on the showcase coverage dashboard. Packages: ag2, agno, claude-sdk-python, claude-sdk-typescript, crewai-crews, langgraph-fastapi, langgraph-typescript, langroid, llamaindex, mastra, ms-agent-dotnet, ms-agent-python, pydantic-ai, spring-ai, strands. (built-in-agent landed independently on main as PR #4321 — its variant is canonical; this PR no longer touches it.) Per-package deliverables: framework-native backend agents (preferences-injection middleware/callback + set_notes tool; supervisor + 3 sub-agents wired as tools with running -> completed /failed delegation log); frontend page.tsx + preferences-card.tsx / notes-card.tsx for SSRW and delegation-log.tsx for subagents — wired to useAgent({ updates: [OnStateChanged] }); manifest entries; runtime route registration + per-package agent server config; real QA scripts. Includes targeted hardening fixes from a 7-agent code-review loop: - Sub-agent failure paths now correctly emit status: "failed" (previously hardcoded "completed" or unreachable in mastra/strands/langgraph-fastapi/langgraph-typescript/ag2) - Parallel-tool-call delegation race fixed in langgraph-fastapi (Annotated[list, add]) and langgraph-typescript (concat reducer) - Silent data loss eliminated in claude-sdk-python/claude-sdk-typescript/crewai-crews — empty JSON.parse catches now log + emit error events - ms-agent-dotnet set_notes writes to per-thread slot via AsyncLocal - mastra working-memory writes are deterministic via src/mastra/tools/working-memory.ts helper - spring-ai tool-call envelope ids match supervisor's tc.id() and AG-UI event ordering reordered; CopyOnWriteArrayList for parallel-call safety - Stack trace + raw error message leaks scrubbed across 8+ Next.js routes — log server-side with errorId + return generic envelope - Sub-agent calls no longer block event loops in ag2 (asyncio.to_thread), langroid (llm_response_async), pydantic-ai (async run + async tools) - langroid lru_cache cross-request contamination dropped - Numerous smaller items: claude-sdk-python invalid model id, Callable annotation, /health endpoint exposed; crewai-crews supervisor no longer resets delegations every turn; pydantic-ai snapshot uses model_dump() CI fixes folded in: - crewai-crews test_forwarded_props: extend the stubbed ag_ui_crewai.endpoint module to expose add_crewai_flow_fastapi_endpoint and add stub agents.shared_state_read_write / agents.subagents modules - generate-catalog test: bump crewai-crews wired-cell expectation 28 -> 30; replace hardcoded total-wired count with an invariant (wired + stub + unshipped = 737) plus a lower-bound floor - oxfmt run on the qa/shared-state-read-write.md files in mastra + spring-ai Rebased onto latest main (post showcase/packages -> showcase/integrations rename + post built-in-agent landing). Original blitz history preserved at the blitz-pre-rebase-snapshot tag. Known follow-ups (deferred to follow-up PR): - agno sync sub_agent.run() blocks event loop (perf only) - ms-agent-python asyncio thread-fallback fragility - llamaindex initial-state coercion when UI clears state - Manifest highlight audit (langgraph-typescript headless-complete, langgraph-fastapi byoc-* missing route.ts highlights) - agno hitl-in-chat declared in demos but not features; duplicate /demos/hitl-in-chat route - langgraph-typescript server.mjs graphSpec only registers 3 graphs vs 23 in langgraph.json (pre-existing) - mastra hitl legacy demo missing from features list - claude-sdk-python agents/agent.py line 474 also has the legacy claude-opus-4-5 default - PARITY_NOTES vs manifest mismatches for hitl-in-app across spring-ai/agno/ag2 (pre-existing) - spring-ai a2ui-fixed-schema missing from generative_ui list
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4.6 KiB
QA: Shared State (Read + Write) — MS Agent Framework (Python)
Prerequisites
- Demo is deployed and accessible at
/demos/shared-state-read-writeon the dashboard host - Agent backend is healthy (
/api/health);OPENAI_API_KEYis set on Railway; the agent server has theshared-state-read-writeagent mounted at/shared-state-read-write
Test Steps
1. Basic Functionality
- Navigate to
/demos/shared-state-read-write; verify the page renders within 3s with the left sidebar (preferences + notes cards) and the right-sideCopilotChatpane - Verify
data-testid="preferences-card"is visible with heading "Your preferences" - Verify
data-testid="notes-card"is visible with heading "Agent notes" and empty-statedata-testid="notes-empty"reading "No notes yet. Ask the agent to remember something." - 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"; verifydata-testid="pref-state-json"updates to include"name": "Atai" - Change
data-testid="pref-tone"toformal; verify the JSON preview reflects"tone": "formal" - Change
data-testid="pref-language"toSpanish; verify the JSON preview reflects"language": "Spanish" - Click the
CookingandTravelinterest pills; verify both show the selected style (border#BEC2FF, bg#BEC2FF1A) and the JSON preview'sinterestsarray 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 AG-UI runtime injects the full
state_schema-typed shared state into a system context message every 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 2data-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_notescontract, andstate_update(...)deterministically pushes the new state via aStateSnapshotEvent
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
playfuland add theMusicinterest; 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'suseEffect)
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
_inject_state_contexthelper short-circuits whencurrent_stateis 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-jsonsynchronously on change - Agent-authored notes appear in
notes-cardwithin 15 seconds of a "remember" prompt, and the full prior list is preserved on subsequentset_notescalls - 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