cf42951b77
- Graph definitions (v3, v4) now declare MODELS mapping role → model string - engine.py extracts MODELS and applies to nodes during instantiation - frame_engine.process_message() accepts model_overrides for per-request swaps (restored via try/finally after processing) - 11/11 engine tests green Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
75 lines
2.8 KiB
Python
75 lines
2.8 KiB
Python
"""v3-framed: Frame-based deterministic pipeline.
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Same node topology as v2-director-drives but executed by FrameEngine
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with tick-based deterministic ordering.
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Frame trace:
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Reflex: F1(Input) → F2(Output)
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Simple: F1(Input) → F2(Director) → F3(Thinker) → F4(Output+UI)
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With tools: F1(Input) → F2(Director) → F3(Thinker) → F4(Interpreter) → F5(Output+UI)
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"""
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NAME = "v3-framed"
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DESCRIPTION = "Frame-based deterministic pipeline (Director+Thinker+Interpreter)"
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ENGINE = "frames" # Signals Runtime to use FrameEngine instead of handle_message()
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NODES = {
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"input": "input_v1",
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"director": "director_v2",
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"thinker": "thinker_v2",
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"interpreter": "interpreter_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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"sensor": "sensor",
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}
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EDGES = [
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# Data edges — same as v2, engine reads for frame routing
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{"from": "input", "to": "director", "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": "director", "to": "thinker", "type": "data", "carries": "DirectorPlan"},
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{"from": "thinker", "to": ["output", "ui"], "type": "data",
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"carries": "ThoughtResult", "parallel": True},
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{"from": "thinker", "to": "interpreter", "type": "data",
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"carries": "tool_output", "condition": "has_tool_output"},
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{"from": "interpreter", "to": "output", "type": "data",
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"carries": "InterpretedResult", "condition": "has_tool_output"},
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{"from": "output", "to": "memorizer", "type": "data", "carries": "history"},
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# Context edges
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{"from": "memorizer", "to": "director", "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": "output", "type": "context",
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"method": "get_context_line"},
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{"from": "sensor", "to": "director", "type": "context",
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"method": "get_context_lines"},
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{"from": "ui", "to": "director", "type": "context",
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"method": "get_machine_summary"},
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# State edges
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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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"has_tool_output": "thinker.tool_used is not empty",
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}
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MODELS = {
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"input": "google/gemini-2.0-flash-001",
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"director": "anthropic/claude-haiku-4.5",
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"thinker": "google/gemini-2.0-flash-001",
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"interpreter": "google/gemini-2.0-flash-001",
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"output": "google/gemini-2.0-flash-001",
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"memorizer": "google/gemini-2.0-flash-001",
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}
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AUDIT = {}
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