 Story Crater Bot
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d0a8caaad8
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feat: M3.8 query optimizer (7 tests, ready to wire)
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QueryOptimizer implements query-time optimization:
- Async optimize_chunk(chunk) before LLM processing
- Batch optimize_chunks() for multiple results
- Graceful fallback: original on optimization failure
- Metrics tracking for cache alignment analysis
Features:
✓ Content-type inference (JSON/logs/diffs/text)
✓ Environment-driven configuration
✓ Optional service integration
✓ Batch processing support
✓ Metrics calculation
Tests (7 passing):
- Disabled optimizer behavior
- Environment variable handling
- Async chunk optimization
- Content-type inference (JSON, logs, diffs, text)
- Metrics calculation
Build: ✅ mem-core (137 tests total, 7 new)
Ready to wire:
1. Ingest path: optimize_record_with_metrics() in rebuild.rs
2. Query path: QueryOptimizer.optimize_chunks() before LLM context
Architecture:
Ingest: Content → M3.8 compress → clean → embed + index
Query: Search → M3.8 optimize → clean → LLM context
Next: Wire into rebuild.rs and query_executor.rs
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2026-08-28 12:14:08 -07:00 |
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Story Crater Bot
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0d836c4ec1
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feat: M3.8 pluggable optimizer service (DRY + SOLID, 13 tests)
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Refactored M3.8 to be extensible and customizable:
SOLID Architecture:
- Single Responsibility: OptimizerPlugin (optimize), FormatHandler (format)
- Open/Closed: Registry trait for extensibility without modification
- Liskov Substitution: Generic SimpleRegistry<T> works for any plugin type
- Interface Segregation: Traits focused, minimal methods
- Dependency Inversion: OptimizerService depends on abstractions
DRY Improvements:
- Generic Registry<T> trait eliminates duplicate register/get/list code
- PluginLocator strategy pattern replaces duplicated lookup logic
- OptimizerServiceBuilder factory pattern for ergonomic creation
Features:
✓ OptimizerPlugin trait (async optimization with metrics)
✓ FormatHandler trait (json, jsonl, raw, csv, yaml)
✓ Registry<T> generic trait (reusable for any plugin type)
✓ PluginLocator strategy (find optimizer by type, format by name)
✓ OptimizerService (orchestrator + dependency injection)
✓ OptimizerServiceBuilder (fluent builder)
✓ BuiltinOptimizer (wraps ContextOptimizer)
✓ 5 format handlers (JSON, JSONL, Raw, CSV, YAML)
Tests (13 passing):
- Registry registration and lookup
- Type-based optimizer finding
- Format handler discovery
- Service creation via builder
- Service optimization workflow
- Error handling on missing formats
Build: ✅ mem-core clean (130 tests total)
Usage:
let service = OptimizerServiceBuilder::new()
.with_optimizer(Arc::new(MyOptimizer))
.with_format(Arc::new(JsonFormatter))
.build()?;
let output = service.optimize(content, "text/plain", Some("json")).await?;
Ready for:
- Custom optimizer implementations
- Custom format handlers
- Query optimization (next commit)
- Ingest pipeline integration (next commit)
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2026-08-28 12:13:14 -07:00 |
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Story Crater Bot
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8d8addc930
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feat: M3.8.1 phase 4a — TextCompressor + env config (12 tests)
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TextCompressor (320 LOC, 10 tests):
- Token importance scoring with lazy_static STOP_WORDS
- Keeps: high-entropy tokens (IDs, hashes, error codes, numbers, symbols)
- Drops: stop words, filler words, low-information prose
- ID detection: UUID, SHA256, session IDs, underscored patterns
- Error marker detection: error, exception, panic, fail, warn, critical
- Configurable compression ratio (default 40% token retention)
ContextOptimizerConfig::from_env() (2 tests):
- MEM_CONTEXT_OPTIMIZER (on/off)
- MEM_MAGIKA_ENABLED, MEM_MAGIKA_THRESHOLD
- MEM_COMPRESS_JSON, MEM_COMPRESS_LOGS, MEM_COMPRESS_CODE, MEM_COMPRESS_DIFF, MEM_COMPRESS_TEXT
- MEM_TOKEN_BUDGET, MEM_CCR_ENABLED
ContextOptimizer::from_env() factory method
62 optimizer tests total:
Phase 1 (17) + Phase 2 (15) + Phase 3 (18) + Phase 4a (12) = 62 passing
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2026-08-28 10:02:52 -07:00 |
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Story Crater Bot
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edcc23122e
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feat: M3.8.1 phase 3 — CacheAligner + CCR Store (18 tests)
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CacheAligner (180 LOC, 8 tests):
- Detects dynamic patterns: timestamps, UUIDs, session IDs, temp paths, SHAs
- Uses once_cell Lazy statics + Regex for pattern matching
- Separates stable prefix (cache-able) from dynamic tail (varies)
- Reports drift metrics (0.0-1.0 ratio of dynamic content)
- Preserves identical prefixes across calls for KV cache hits
CcrStore (170 LOC, 10 tests):
- LRU cache with IndexMap (preserves insertion order)
- SHA256 hashing for content identification
- TTL-based expiry (default 1hr, configurable)
- Thread-safe (Mutex-wrapped)
- Supports large content (tested 100KB+)
ContextOptimizer integration (2 tests):
- Wired CCR store into optimizer
- Stores originals when compression occurs + CCR enabled
- Returns hash for retrieval hints
50 optimizer tests total:
Phase 1 (17) + Phase 2 (15) + Phase 3 (18) = 50 passing
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2026-08-28 09:39:31 -07:00 |
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Story Crater Bot
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a903a3ffcb
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feat: M3.8.1 phase 2 — JSON + Diff compressors (15 tests)
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JsonCrusher (300 LOC):
- Field variance analysis for mid-array selection
- Allocation: 30% start (schema), 15% end (recency), 55% importance
- Truncates long strings (>500 chars) with markers
- Handles nested structures recursively
DiffCompressor (180 LOC):
- Keeps: file headers, hunk markers (@@), change lines (+/-)
- Drops: context lines (spaces), unchanged content
- Preserves binary file markers
32 optimizer tests total (17 phase1 + 15 phase2):
- JsonCrusher: 8 tests (object, array, boundaries, truncation, nesting)
- DiffCompressor: 7 tests (simple, multiple hunks, new/deleted files)
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2026-08-28 09:36:17 -07:00 |
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Story Crater Bot
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05aec4e23b
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feat: M3.8.1 phase 1 — content router + log compressor
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ContentRouter uses Google Magika ML for content detection (<1ms) with regex
fallback. Detects JSON, code, logs, diffs, config, text.
LogCompressor reuses M3.7.7 patterns (markers, cascade, strip_ansi) to
shrink build logs by keeping errors/stacks and dropping noise.
17 unit tests passing:
- router: json, code, diff, log, text detection
- log: error lines, stack traces, ansi stripping, compression
- optimizer: token estimation, passthrough mode
Magika + ort ONNX runtime added to Cargo.toml.
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2026-08-28 09:29:56 -07:00 |
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