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>
60 lines
2.2 KiB
Python
60 lines
2.2 KiB
Python
"""v1-current: Original pipeline — Input -> Thinker -> Output+UI -> Memo -> Director.
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Thinker does everything (reasoning, tools, DB, UI, audit).
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Director is passive (style adjustments) with optional Opus pre-planning for complex requests.
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S3* audit compensates for Thinker weakness (code-without-tools, intent-without-action).
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"""
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NAME = "v1-current"
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DESCRIPTION = "Original pipeline: Thinker does everything, S3* audits failures"
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NODES = {
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"input": "input_v1",
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"thinker": "thinker_v1",
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"output": "output_v1",
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"ui": "ui",
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"memorizer": "memorizer_v1",
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"director": "director_v1",
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"sensor": "sensor",
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}
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EDGES = [
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# Data edges — typed objects flowing through pipeline
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{"from": "input", "to": "thinker", "type": "data", "carries": "Command"},
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{"from": "input", "to": "output", "type": "data", "carries": "Command",
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"condition": "reflex"},
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{"from": "thinker", "to": ["output", "ui"], "type": "data",
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"carries": "ThoughtResult", "parallel": True},
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{"from": "output", "to": "memorizer", "type": "data", "carries": "history"},
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{"from": "memorizer", "to": "director", "type": "data", "carries": "memo_state"},
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# Context edges — text injected into LLM prompts
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{"from": "memorizer", "to": "thinker", "type": "context",
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"method": "get_context_block"},
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{"from": "memorizer", "to": "input", "type": "context",
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"method": "get_context_block"},
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{"from": "memorizer", "to": "output", "type": "context",
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"method": "get_context_block"},
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{"from": "director", "to": "thinker", "type": "context",
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"method": "get_context_line"},
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{"from": "sensor", "to": "thinker", "type": "context",
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"method": "get_context_lines"},
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{"from": "ui", "to": "thinker", "type": "context",
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"method": "get_machine_summary"},
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# State edges — shared persistent state
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{"from": "sensor", "to": "runtime", "type": "state", "reads": "flags"},
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{"from": "ui", "to": "runtime", "type": "state", "reads": "current_controls"},
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]
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CONDITIONS = {
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"reflex": "intent==social AND complexity==trivial",
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"plan_first": "complexity==complex OR is_data_request",
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}
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AUDIT = {
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"code_without_tools": True,
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"intent_without_action": True,
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"workspace_mismatch": True,
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}
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