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# QA: Sub-Agents — Spring AI
## Prerequisites
- Demo is deployed and accessible
- Agent backend is healthy (check `/api/health`)
- `OPENAI_API_KEY` is set on the Spring backend
## Architecture under test
- Spring's `SubagentsController` runs a per-request supervisor agent that
exposes three tools — `research_agent`, `writing_agent`, `critique_agent`
— each backed by its own `ChatClient` call with a dedicated system
prompt (research vs. writing vs. critique).
- Every tool invocation appends a `Delegation` entry
`{ id, sub_agent, task, status, result }` to `state.delegations` and
emits a `STATE_SNAPSHOT` event, so the UI's live "delegation log"
panel grows entry-by-entry while the supervisor works.
## Test Steps
### 1. Page load
- [ ] Navigate to `/demos/subagents`.
- [ ] Verify the delegation log card renders
(`data-testid="delegation-log"`).
- [ ] Verify it shows the empty-state message
("Ask the supervisor to complete a task...").
- [ ] Verify `data-testid="delegation-count"` reads "0 calls".
- [ ] Verify the chat panel is visible on the right with the
"Give the supervisor a task..." placeholder.
### 2. Single delegation
- [ ] Send: "Research the basics of magnesium supplementation. Just one
delegation, no writing or critique."
- [ ] While the supervisor is running, verify
`data-testid="supervisor-running"` is visible.
- [ ] Verify exactly one `data-testid="delegation-entry"` appears with
sub-agent label "Research" and status "completed".
- [ ] Verify `data-testid="delegation-count"` reads "1 calls".
### 3. Full pipeline
- [ ] Click the "Write a blog post" suggestion (or send the equivalent
message manually).
- [ ] Watch the delegation log grow in real time:
- [ ] First entry: Research (sub_agent = `research_agent`)
- [ ] Second entry: Writing (sub_agent = `writing_agent`) — should
contain a polished one-paragraph draft.
- [ ] Third entry: Critique (sub_agent = `critique_agent`) — should
contain 23 actionable critiques.
- [ ] Verify each entry's "Task" line shows what the supervisor passed
to that sub-agent.
- [ ] Verify final supervisor message is concise (a short summary, not a
replay of all three sub-agent outputs).
### 4. Live snapshot ordering
- [ ] Verify the entries appear incrementally — the writing entry should
not show up at the same time as the research entry; if it does, the
backend is batching state snapshots.
### 5. Multi-turn
- [ ] After the pipeline completes, send: "Now do the same for the
benefits of cold exposure training."
- [ ] Verify three more entries are appended (count = 6).
- [ ] Verify older entries remain visible (delegation log is append-only
within a thread).
### 6. Error handling
- [ ] Send an empty message — UI should handle gracefully.
- [ ] If a sub-agent fails (transient OpenAI error), verify the entry's
`status` field reads "failed" and its result starts with
"Sub-agent failed:".
- [ ] No console errors during normal usage.
## Expected Results
- Page loads within 3 seconds.
- First delegation entry appears within 10 seconds of sending the
message; subsequent entries appear as each sub-agent ChatClient call
completes.
- "Supervisor running" indicator clears as soon as the run finishes.
- Final delegation count matches the number of sub-agent calls the
supervisor made (typically 1 or 3).
- No UI errors, no broken layout, no overlap between log and chat panes.