| name | agui-author |
| description | Author live dashboard UI from an agent via the `emit_ui` MCP tool. Emit one of six allow-listed components (approval_card, choice_prompt, diff_summary, progress, metric, agent_card) with JSON props and it renders in any AG-UI client watching the fleet. Use when you want the operator to see a decision, a diff, or a status readout instead of scrolling terminal text. Arbitrary HTML/markup is refused. |
Authoring generative UI over AG-UI
CAO exposes an AG-UI stream (GET /agui/v1/stream) that any dashboard —
CopilotKit, the AG-UI Dojo, or a plain EventSource — renders
without CAO-specific code. As an agent you can push a declarative UI intent
onto that stream with the emit_ui MCP tool. The operator sees a rendered card,
not raw text — and because every provider's intents render uniformly, they can't
tell (and don't need to) which CLI agent produced which card.
The surface must be enabled on the server (CAO_AGUI_ENABLED=true or
CAO_MCP_APPS_ENABLED=true — the two surfaces share one event source). When it
is disabled, emit_ui returns {"ok": false, "reason": "AG-UI surface disabled…"}
— treat that as a no-op, not an error.
Safety model (why this is always safe to call)
You may emit only a closed allow-list of named components with JSON props.
There is no HTML, no script, no eval, no iframe. The intent is validated
server-side against the allow-list before it reaches the stream:
- An off-list component (e.g.
iframe, script) is refused — the tool
raises a ValueError; nothing is rendered.
props must be JSON-serializable and are bounded to 8 KB — an oversized
or non-serializable payload is rejected at the emit_ui boundary (HTTP 400,
the tool raises a ValueError), so a bad payload never reaches the bus.
- If the AG-UI surface is disabled on the server, the tool degrades gracefully
(no error) — so calling it is never fatal.
- The AG-UI stream is metadata-only by contract: never put message bodies,
credentials, or file contents in props. Reference paths, not contents.
The tool
emit_ui(component: str, props: dict) -> {"ok", "event_id", "component"}
component must be one of: approval_card, choice_prompt, diff_summary,
progress, metric, agent_card.
When to use which component
Props below are what a conformant client renderer will display; unknown extra keys
are ignored, not refused.
| Component | Use it when… | Props |
|---|
approval_card | you need a human to approve/reject a risky action before you proceed | title (str), detail (str, optional), risk ("low"/"medium"/"high", optional) |
choice_prompt | you want the operator to pick among options | question (str), choices (list of {"label", "value"} or plain strings) |
diff_summary | you changed files and want a compact review | title (str), files (list of {"path", "additions", "deletions"}) |
progress | a long step is running | label (str), value (0.0–1.0; omit for an indeterminate bar) |
metric | you want to surface a single number | label (str), value (str/number), unit (str, optional) |
agent_card | you want to advertise your identity/status in the fleet view | name (str), provider (str), status (str, optional) |
Examples
emit_ui("approval_card", {
"title": "Deploy to production?",
"detail": "3 files changed, 1 DB migration",
"risk": "high",
})
emit_ui("choice_prompt", {
"question": "Which base branch?",
"choices": [{"label": "main", "value": "main"},
{"label": "release", "value": "release"}],
})
emit_ui("diff_summary", {
"title": "Refactor auth",
"files": [{"path": "security/auth.py", "additions": 74, "deletions": 3}],
})
emit_ui("progress", {"label": "Indexing repository", "value": 0.42})
emit_ui("metric", {"label": "tokens used", "value": 12840, "unit": "tok"})
emit_ui("agent_card", {"name": "reviewer", "provider": "claude_code", "status": "working"})
L2 constructs (Phase 2)
The AG-UI surface also exposes L2 constructs — higher-level projections that
fold the raw event stream into structured views. As an agent you don't author L2
constructs, but you should know they exist because your emit_ui intents feed
them:
SupervisorDashboardStream — folds STATE_SNAPSHOT/STATE_DELTA + your
agent_card emits into a live fleet hierarchy view.
MultiAgentSessionTimeline — reconstructs delegation/message timeline
from TOOL_CALL lifecycle events.
AgentHandoffWithApproval — the full interrupt lifecycle: provider prompt
→ reason classification → interrupt → approve/deny/edit → delivery.
CrossProviderStateSync — convergence proof across providers.
The run plane (POST /agui/v1/run) streams these as stock AG-UI wire frames.
Interrupts (approval prompts) route through POST /agui/v1/interrupts/{id}/resume.
For details: references/l2-constructs.md and
references/run-plane.md.
Gotchas
-
Emitting to a disabled surface — if CAO_AGUI_ENABLED is unset, emit_ui
returns {"ok": false} gracefully. Don't treat this as an error or retry — it's
a no-op by design. The fix: always check ok in the return but never fail on it.
-
Props over 8 KB are rejected — the tool raises a ValueError and nothing
renders. The fix: reference file paths instead of embedding content. Keep props
to metadata (paths, counts, labels).
-
No HTML sink exists — strings in props render as plain text. Attempting to
smuggle markup through props (e.g. <script>, <iframe>) won't render and
looks broken. The fix: use structured props, not markup.
-
One intent per meaningful moment — emitting a progress card on every
token or tool call floods the stream and degrades client rendering. The fix:
emit at milestones (start, 25%, 50%, 75%, done) or once per logical phase.
-
approval_card is display-only today — it gives the operator an
approve/reject affordance in the dashboard, but the action routes to the
dashboard's command surface, not back to you. The fix: pair it with your
provider's own wait-for-input mechanism (e.g. Kiro's trust prompts, Claude
Code's permission dialog).
-
Off-list components are refused server-side — the allow-list is fixed
(approval_card, choice_prompt, diff_summary, progress, metric,
agent_card). A typo or new component name returns HTTP 400. The fix: use
only the six listed names; check spelling.
Verifying locally
CAO_AGUI_ENABLED=true uv run cao-server
curl -N 'http://localhost:9889/agui/v1/stream'
curl -sX POST http://localhost:9889/agui/v1/emit_ui \
-H 'Content-Type: application/json' \
-d '{"component":"progress","props":{"label":"demo","value":0.5}}'
A GENERATIVE_UI frame with your component appears on the stream; an off-list
component is refused with HTTP 400.
See also
examples/ag-ui/ag-ui-dashboard/ — a runnable demo (run.sh + showcase.sh) that
drives all six components live and shows the off-list refusal.
docs/agui.md — the AG-UI stream and generative-UI reference.
cao-mcp-apps skill — operate and extend the MCP Apps surface that renders
your emit_ui intents inside host dashboards (Claude Desktop, VS Code, etc.).
mcp-apps-builder skill — build new MCP App views that consume the AG-UI
stream your emits feed into.