feat(ai): add CASTS for GeaFlow reasoning ability #737
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… Improved Decision Validation
…or structural signatures
…ss multiple files
…ality control Add native Gremlin simplePath() support to prevent pathological cycles in graph traversals. The implementation uses LLM-guided decision-making and AIMD confidence penalties rather than hard-coded restrictions, staying true to the system's learning philosophy. Key changes: - Add simplePath() step to Gremlin state machine for V, E, and P states - Implement per-request path history tracking in TraversalExecutor - Add cycle detection with configurable threshold and penalty modes - Enhance LLM Oracle prompts to recommend simplePath() for exploration goals - Add recent decision history context to improve LLM decision quality - Update configuration with CYCLE_PENALTY and CYCLE_DETECTION_THRESHOLD settings - Document design rationale and rejected alternatives in architecture.md - Add test case for simple path traversal validation
…ulations - Updated MetricsCollector to use Optional types for match_type, parent_node, parent_step_index, edge_label, sku_id, and decision parameters. - Enhanced EVALUATOR documentation to clarify evaluation phases and scoring mechanisms, including coverage rewards and penalties for cache misses. - Modified test cases in test_execution_lifecycle.py to align with new metrics structure and added tests for simple path execution. - Improved test coverage in test_gremlin_step_state_machine.py and test_lifecycle_integration.py to validate state transitions and integration with Gremlin state machine. - Refined threshold calculation tests to ensure monotonicity and boundary conditions. - Added dynamic execution environment constraints in documentation to clarify step legality in relation to current state and schema.
Leomrlin
reviewed
Feb 10, 2026
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| @staticmethod | ||
| def get_state_and_options( | ||
| structural_signature: str, graph_schema: GraphSchema, node_id: str |
Contributor
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Does graph_schema support dynamic modifications? The graph_schema is passed in each time the state machine is invoked, but there may be differences.
Author
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For backward compatibility, memory can be independent of a fixed schema, so we assume the schema is dynamic.
Leomrlin
reviewed
Feb 11, 2026
Leomrlin
reviewed
Feb 11, 2026
…ank line in visualizer.py for consistency
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