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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
57 lines
3.8 KiB
Markdown
57 lines
3.8 KiB
Markdown
# QA: Sub-Agents — Langroid
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## Prerequisites
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- Demo is deployed and accessible at `/demos/subagents` on the dashboard host
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- Agent backend is healthy (`/api/health`); `OPENAI_API_KEY` is set on Railway; the FastAPI agent server exposes `POST /subagents` (see `src/agent_server.py`)
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## Test Steps
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### 1. Basic Functionality
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- [ ] Navigate to `/demos/subagents`; verify the page renders within 3s with the delegation log on the left and the `CopilotChat` pane on the right
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- [ ] Verify `data-testid="delegation-log"` is visible with header "Sub-agent delegations"
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- [ ] Verify `data-testid="delegation-count"` shows `0 calls`
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- [ ] Verify the empty-state copy "Ask the supervisor to complete a task. Every sub-agent it calls will appear here." is rendered
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- [ ] Verify the chat input placeholder is "Give the supervisor a task..."
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- [ ] Verify all 3 suggestion pills are visible with verbatim titles: "Write a blog post", "Explain a topic", "Summarize a topic"
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### 2. Feature-Specific Checks
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#### Live delegation log (running -> completed)
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- [ ] Click the "Write a blog post" suggestion (sends a multi-step request that should trigger research -> write -> critique)
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- [ ] Within 5s verify `data-testid="supervisor-running"` ("Supervisor running" pill) appears in the log header
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- [ ] Within 10s verify the first `data-testid="delegation-entry"` appears with the Research badge (`🔎 Research`) and `running` status; the result body should show "Sub-agent running…"
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- [ ] Within 30s verify the entry flips to `completed` status and a bulleted list of facts is rendered in the result body
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- [ ] Verify a second `data-testid="delegation-entry"` appears with the Writing badge (`✍️ Writing`), goes through `running` -> `completed`, and renders a 1-paragraph draft
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- [ ] Verify a third `data-testid="delegation-entry"` appears with the Critique badge (`🧐 Critique`) and renders 2-3 critiques
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- [ ] Verify `data-testid="delegation-count"` updates to `3 calls` (or more if the supervisor delegates again)
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- [ ] After the run finishes, verify `data-testid="supervisor-running"` is no longer rendered and the chat receives a brief final summary
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#### Sequential chaining
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- [ ] Send "Explain how large language models handle tool calling. Research, write a paragraph, then critique."
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- [ ] Verify the delegations appear in order: Research, then Writing, then Critique (the supervisor passes the prior step's output through `task`)
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- [ ] Verify each entry's `Task:` line references the user's topic and (for Writing/Critique) cites the prior step
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#### Multi-message persistence
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- [ ] After a completed run, send another task ("Summarize a topic …")
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- [ ] Verify NEW delegation entries are appended to the log (existing entries from the prior turn remain visible, count grows)
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- [ ] Reload the page; verify the delegation log resets to empty and `data-testid="delegation-count"` shows `0 calls`
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### 3. Error Handling
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- [ ] 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
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- [ ] Verify DevTools -> Console shows no uncaught errors during any flow above
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- [ ] If the secondary LLM fails (e.g. quota exhausted), verify a `failed` delegation entry is rendered with red status and a brief error message in the result body — the supervisor still produces a final user-facing message
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## Expected Results
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- Page loads within 3 seconds
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- Each delegation transitions from `running` to `completed` (or `failed`) within ~30s
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- Delegation log entries appear in submission order and preserve across multiple supervisor turns within a single run
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- The supervisor returns a final natural-language summary after the last sub-agent completes
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- No UI layout breaks, no uncaught console errors
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