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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
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3.8 KiB
QA: Sub-Agents — Langroid
Prerequisites
- Demo is deployed and accessible at
/demos/subagentson the dashboard host - Agent backend is healthy (
/api/health);OPENAI_API_KEYis set on Railway; the FastAPI agent server exposesPOST /subagents(seesrc/agent_server.py)
Test Steps
1. Basic Functionality
- Navigate to
/demos/subagents; verify the page renders within 3s with the delegation log on the left and theCopilotChatpane on the right - Verify
data-testid="delegation-log"is visible with header "Sub-agent delegations" - Verify
data-testid="delegation-count"shows0 calls - Verify the empty-state copy "Ask the supervisor to complete a task. Every sub-agent it calls will appear here." is rendered
- Verify the chat input placeholder is "Give the supervisor a task..."
- Verify all 3 suggestion pills are visible with verbatim titles: "Write a blog post", "Explain a topic", "Summarize a topic"
2. Feature-Specific Checks
Live delegation log (running -> completed)
- Click the "Write a blog post" suggestion (sends a multi-step request that should trigger research -> write -> critique)
- Within 5s verify
data-testid="supervisor-running"("Supervisor running" pill) appears in the log header - Within 10s verify the first
data-testid="delegation-entry"appears with the Research badge (🔎 Research) andrunningstatus; the result body should show "Sub-agent running…" - Within 30s verify the entry flips to
completedstatus and a bulleted list of facts is rendered in the result body - Verify a second
data-testid="delegation-entry"appears with the Writing badge (✍️ Writing), goes throughrunning->completed, and renders a 1-paragraph draft - Verify a third
data-testid="delegation-entry"appears with the Critique badge (🧐 Critique) and renders 2-3 critiques - Verify
data-testid="delegation-count"updates to3 calls(or more if the supervisor delegates again) - After the run finishes, verify
data-testid="supervisor-running"is no longer rendered and the chat receives a brief final summary
Sequential chaining
- Send "Explain how large language models handle tool calling. Research, write a paragraph, then critique."
- Verify the delegations appear in order: Research, then Writing, then Critique (the supervisor passes the prior step's output through
task) - Verify each entry's
Task:line references the user's topic and (for Writing/Critique) cites the prior step
Multi-message persistence
- After a completed run, send another task ("Summarize a topic …")
- Verify NEW delegation entries are appended to the log (existing entries from the prior turn remain visible, count grows)
- Reload the page; verify the delegation log resets to empty and
data-testid="delegation-count"shows0 calls
3. Error Handling
- Send a trivially-conversational message like "Hi"; verify the supervisor either responds in plain text without delegating (count stays at
0 calls) or delegates only once and finishes — no infinite loop - Verify DevTools -> Console shows no uncaught errors during any flow above
- If the secondary LLM fails (e.g. quota exhausted), verify a
faileddelegation entry is rendered with red status and a brief error message in the result body — the supervisor still produces a final user-facing message
Expected Results
- Page loads within 3 seconds
- Each delegation transitions from
runningtocompleted(orfailed) within ~30s - Delegation log entries appear in submission order and preserve across multiple supervisor turns within a single run
- The supervisor returns a final natural-language summary after the last sub-agent completes
- No UI layout breaks, no uncaught console errors