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23a3b24a01
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
71 lines
2.7 KiB
Markdown
71 lines
2.7 KiB
Markdown
# QA: Sub-Agents — LangGraph (FastAPI)
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## Prerequisites
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- Demo is deployed and accessible
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- Agent backend is healthy (check `/api/copilotkit` GET — `agent_status: "reachable"`)
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- `OPENAI_API_KEY` is set in the agent environment
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## What this demo proves
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- A supervisor LLM exposes three sub-agents (`research_agent`,
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`writing_agent`, `critique_agent`) as tools.
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- Each sub-agent is a real `create_agent(...)` with its own system
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prompt — the supervisor does NOT just template-fill responses.
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- Every delegation appends an entry to the `delegations` slot of agent
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state, which the UI renders live as a delegation log.
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## Test Steps
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### 1. Page loads with delegation log + chat
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- [ ] Navigate to `/demos/subagents`
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- [ ] The delegation log (`data-testid="delegation-log"`) is visible on the left
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- [ ] Header reads "Sub-agent delegations"
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- [ ] Counter (`data-testid="delegation-count"`) reads "0 calls"
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- [ ] Empty state copy: "Ask the supervisor to complete a task..."
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- [ ] Chat is visible on the right with placeholder "Give the supervisor a task..."
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### 2. Supervisor running indicator
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- [ ] Send the "Write a blog post" suggestion
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- [ ] Within ~2 seconds the `supervisor-running` badge appears on the log header
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- [ ] The badge has the pulsing dot and "Supervisor running" label
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### 3. Delegations appear live
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- [ ] As the run progresses, `delegation-entry` rows appear one at a time
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- [ ] Counter increments accordingly (1 calls, 2 calls, 3 calls)
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- [ ] Typical sequence on the "Write a blog post" suggestion:
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- [ ] First entry shows the Research badge (`🔎 Research`)
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- [ ] Second entry shows the Writing badge (`✍️ Writing`)
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- [ ] Third entry shows the Critique badge (`🧐 Critique`)
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- [ ] Each entry shows the task on one line and the sub-agent's result
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below it in the result panel
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- [ ] Each entry status shows `completed`
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### 4. Result quality (sanity check)
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- [ ] The research entry's result is a bulleted list of 3-5 facts
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- [ ] The writing entry's result is a single coherent paragraph
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- [ ] The critique entry's result is 2-3 bullet/critique items
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- [ ] When the supervisor finishes, the `supervisor-running` badge disappears
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### 5. Multiple runs accumulate
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- [ ] Send the "Explain a topic" suggestion next
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- [ ] Counter continues from previous total (does not reset)
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- [ ] New delegation entries are appended at the bottom
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### 6. Error handling
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- [ ] Sending an empty message is handled gracefully (no crash)
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- [ ] No console errors during a normal run
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## Expected Results
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- Chat loads within 3 seconds
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- First delegation appears within ~10 seconds of sending a task
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- A typical 3-step plan completes in under 60 seconds
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- No UI errors, broken layouts, or console warnings
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