a2bc6347fc
Architecture: - Graph engine (engine.py) loads graph definitions, instantiates nodes - Versioned nodes: input_v1, thinker_v1, output_v1, memorizer_v1, director_v1 - NODE_REGISTRY for dynamic node lookup by name - Graph API: /api/graph/active, /api/graph/list, /api/graph/switch - Graph definition: graphs/v1_current.py (7 nodes, 13 edges, 3 edge types) S3* Audit system: - Workspace mismatch detection (server vs browser controls) - Code-without-tools retry (Thinker wrote code but no tool calls) - Intent-without-action retry (request intent but Thinker only produced text) - Dashboard feedback: browser sends workspace state on every message - Sensor continuous comparison on 5s tick State machines: - create_machine / add_state / reset_machine / destroy_machine via function calling - Local transitions (go:) resolve without LLM round-trip - Button persistence across turns Database tools: - query_db tool via pymysql to MariaDB K3s pod (eras2_production) - Table rendering in workspace (tab-separated parsing) - Director pre-planning with Opus for complex data requests - Error retry with corrected SQL Frontend: - Cytoscape.js pipeline graph with real-time node animations - Overlay scrollbars (CSS-only, no reflow) - Tool call/result trace events - S3* audit events in trace Testing: - 167 integration tests (11 test suites) - 22 node-level unit tests (test_nodes/) - Three test levels: node unit, graph integration, scenario Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
43 lines
1.2 KiB
Markdown
43 lines
1.2 KiB
Markdown
# Pub Conversation
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Tests multi-turn conversation with context tracking, language switching,
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and memorizer state updates across a social scenario.
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## Setup
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- clear history
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## Steps
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### 1. Set the scene
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- send: Hey, Alice and I are heading to the pub tonight
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- expect_response: length > 10
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- expect_state: situation contains "pub" or "Alice"
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### 2. Language switch to German
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- send: Wir sind jetzt im Biergarten angekommen
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- expect_response: length > 10
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- expect_state: language is "de" or "mixed"
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### 3. Context awareness
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- send: Was sollen wir bestellen?
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- expect_response: length > 10
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- expect_state: topic contains "bestell" or "order" or "pub" or "Biergarten"
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### 4. Alice speaks
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- send: Alice says: I'll have a Hefeweizen please
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- expect_response: length > 10
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- expect_state: facts any contains "Alice" or "Hefeweizen"
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### 5. Ask for time (tool use)
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- send: wie spaet ist es eigentlich?
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- expect_response: matches \d{1,2}:\d{2}
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### 6. Back to English
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- send: Let's switch to English, what was the last thing Alice said?
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- expect_state: language is "en" or "mixed"
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- expect_response: contains "Alice" or "Hefeweizen"
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### 7. Mood check
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- send: This is really fun!
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- expect_state: user_mood is "happy" or "playful" or "excited"
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