- Memorizer tracks user_expectation (conversational/delegated/waiting_input/observing)
- Output node adjusts phrasing per expectation
- PA retry loop: reformulates job on expert failure (all retries exhausted or tool skip)
- Machine state in PA context: get_machine_summary includes current state, buttons, stored data
- Expert writes to machine state via update_machine + transition_machine
- Expanded baked schema coverage
- Awareness panel shows color-coded expectation state
- Dashboard and workspace component updates
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
New workspace components:
- emit_card: structured detail card with title, subtitle, fields, actions
Fields can be clickable links (action property)
Used for: entity details (Kunde, Objekt, Auftrag)
- emit_list: vertical list of cards for multiple entities
Used for: search results, navigation lists
- "WHEN TO USE WHAT" guide in expert prompt
Frontend rendering:
- renderCard() with key-value fields, clickable links, action buttons
- List container with title + stacked cards
- Full CSS: dark theme cards, hover states, link styling
Pipeline:
- ExpertNode handles emit_card/emit_list in tool execution
- UINode passes card/list through as-is (not wrapped in display)
- Test runner: check_actions supports "has card", "has list", "has X or Y"
Workspace components test: 22/22
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Eras Expert domain context:
- Full Heizkostenabrechnung business model (Kunde>Objekte>Nutzeinheiten>Geraete)
- Known PK/FK mappings: kunden.Kundennummer, objekte.KundenID, etc.
- Correct JOIN example in SCHEMA prompt
- PA knows domain hierarchy for better job formulation
Iterative plan-execute in ExpertNode:
- DESCRIBE queries execute first, results injected into re-plan
- Re-plan uses actual column names from DESCRIBE
- Eliminates "Unknown column" errors on first query
Frontend:
- Node inspector: per-node cards with model, tokens, progress, last event
- Graph switcher buttons in top bar
- Clear button in top bar
- Nodes panel 300px wide
- WS reconnect on 1006 (deploy) without showing login
- Model info emitted on context HUD events
Domain context test: 21/21 (hierarchy, JOINs, FK, PA job quality)
Default graph: v4-eras
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- testcases/*.md: declarative test definitions (send, expect_response,
expect_state, expect_actions, action)
- runtime_test.py: standalone runner + pytest integration via conftest.py
- /tests route: web UI showing last run results from results.json
- /api/tests: serves results JSON
- Two initial testcases: counter_state (UI actions) and pub_conversation
(multi-turn, language switch, tool use, memorizer state)
- pub_conversation: 19/20 passed on first run
- Fix nm-text vertical overflow in node metrics bar
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
6-node pipeline: Input -> Thinker -> Output (voice) + UI (screen) in parallel
- Output: text only (markdown, emoji). Never emits HTML or controls.
- UI: dedicated node for labels, buttons, tables. Tracks workspace state.
Replaces entire workspace on each update. Runs parallel with Output.
- Input: strict one-sentence perception. No more hallucinating responses.
- Thinker: controls removed from prompt, focuses on reasoning + tools.
- Frontend: markdown rendered in chat (bold, italic, code blocks, lists).
Label control type added. UI node meter in top bar.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Thinker tool results stream directly to user, skipping Output node (halves latency)
- ProcessManager process_start/process_done events render as live cards in chat
- UI controls sent before response text, not after
- Button clicks route to handle_action(), skip Input, go straight to Thinker
- Fix Thinker model: gemini-2.5-flash-preview -> gemini-2.5-flash (old ID expired)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- ThinkerNode: reasons about perception, decides tool use vs direct answer
- Python tool: subprocess execution with 10s timeout
- Auto-detects python code blocks in LLM output and executes them
- Tool call/result visible in trace + HUD
- Thinker meter in frontend (token budget: 4K)
- Flow: Input (perceive) -> Thinker (reason + tools) -> Output (speak)
- Tested: math (42*137=5754), SQLite (create+query), time, greetings
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Per-node context fill bars (input/output/memorizer/sensor)
- Color-coded: green <50%, amber 50-80%, red >80%
- Sensor meter shows tick count + latest deltas
- Token info in trace context events
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
