ring/default/lib/compound_learnings/__init__.py
Fred Amaral 9350f9f028
feat(compound-learnings): implement self-improving learning loop system
Extracts session learnings automatically via SessionEnd hook, detects recurring patterns across sessions (3+ occurrences), and generates proposals for new rules/skills with user approval. Includes pattern detection with fuzzy matching, rule/skill generation, and secure file handling with path traversal prevention.

X-Lerian-Ref: 0x1
2025-12-27 23:07:10 -03:00

72 lines
1.7 KiB
Python

"""Compound Learnings Library - Transform session learnings into permanent capabilities.
This package provides:
- Learning file parsing (learning_parser)
- Pattern detection across sessions (pattern_detector)
- Rule/skill generation from patterns (rule_generator)
"""
from .learning_parser import (
parse_learning_file,
extract_patterns,
extract_what_worked,
extract_what_failed,
extract_key_decisions,
load_all_learnings,
)
from .pattern_detector import (
normalize_pattern,
find_similar_patterns,
aggregate_patterns,
detect_recurring_patterns,
categorize_pattern,
generate_pattern_summary,
similarity_score,
DEFAULT_SIMILARITY_THRESHOLD,
)
from .rule_generator import (
generate_rule_content,
generate_skill_content,
create_rule_file,
create_skill_file,
generate_proposal,
save_proposal,
load_pending_proposals,
approve_proposal,
reject_proposal,
slugify,
RuleGenerationError,
)
__all__ = [
# learning_parser
"parse_learning_file",
"extract_patterns",
"extract_what_worked",
"extract_what_failed",
"extract_key_decisions",
"load_all_learnings",
# pattern_detector
"normalize_pattern",
"find_similar_patterns",
"aggregate_patterns",
"detect_recurring_patterns",
"categorize_pattern",
"generate_pattern_summary",
"similarity_score",
"DEFAULT_SIMILARITY_THRESHOLD",
# rule_generator
"generate_rule_content",
"generate_skill_content",
"create_rule_file",
"create_skill_file",
"generate_proposal",
"save_proposal",
"load_pending_proposals",
"approve_proposal",
"reject_proposal",
"slugify",
"RuleGenerationError",
]