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f5289020985dacc07a5a755ff44dbcb80946bc50
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8 Commits
Author SHA1 Message Date
Story Crater Bot f528902098 feat: M3.8.1 phase 4a — TextCompressor + env config (12 tests) 
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
 2026-08-28 10:02:52 -07:00
Story Crater Bot e96510d80d feat: M3.8.1 phase 3 — CacheAligner + CCR Store (18 tests) 
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
 2026-08-28 09:39:31 -07:00
Story Crater Bot fd4ca2a17a feat: M3.8.1 phase 2 — JSON + Diff compressors (15 tests) 
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)
 2026-08-28 09:36:17 -07:00
Story Crater Bot b18932b10c feat: M3.8.1 phase 1 — content router + log compressor 
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.
 2026-08-28 09:29:56 -07:00
Story Crater Bot 1991291bc9 feat: add cache-aligned prompt builder for LLM API cost savings 
PROBLEM:
- PromptBuilder.build() puts everything in a single user message
- System + query + memory + chunk all change together
- LLM prompt caching gets 0% hits (entire message differs per call)
- For a 50-chunk ingestion run, we pay full input price 50 times

SOLUTION: PromptBuilder.build_cache_aligned()
- Splits prompt into 3 separate messages:
  1. SYSTEM: instructions (stable across ALL calls) → CACHED
  2. USER[0]: query/problem (stable per run) → CACHED
  3. USER[1]: memory + chunk (varies per call) → not cached
- Cache prefix (system + query) reused across all chunks in a run
- Estimated 30-70% cache hit ratio depending on chunk sizes
- ~50% input token cost savings for multi-chunk ingestion

TEMPLATES:
- templates/gru-mem-system.txt (instructions only, 840B)
- templates/gru-mem-query.txt (problem wrapper, 29B)
- templates/gru-mem-turn.txt (memory + section, 57B)
- templates/gru-mem.txt (legacy, unchanged)

API:
- PromptBuilder::build() — legacy, backward compatible
- PromptBuilder::build_cache_aligned() → PromptMessages
- PromptMessages.cache_prefix_tokens() — cacheable token count
- PromptMessages.total_tokens() — total estimated tokens
- PromptMessages.headroom() — tokens available for response

TESTS: 11 unit + 3 integration = 14 new tests
- test_cache_aligned_produces_two_user_messages
- test_cache_prefix_is_stable_across_chunks
- test_cache_prefix_is_stable_across_memory_changes
- test_cache_prefix_tokens_positive
- test_headroom_positive_under_budget
- test_legacy_build_still_works
- test_cache_aligned_contains_query
- test_cache_aligned_memory/chunk_budget_exceeded
- a8_cache_prefix_stable_across_50_chunks
- a9_cache_aligned_headroom
- a10_cache_savings_estimate

TOTAL: 64 mem-core tests passing (52 unit + 12 integration)
 2026-08-28 08:24:38 -07:00
Story Crater Bot 19967d1699 feat: implement M3.7.8 symptom projection (250 LOC) + 22 tests (10 unit + 12 integration) 
IMPLEMENTATION:
- crates/mem-core/src/symptom_projection.rs (250 LOC)
  - project_symptom(tool, query) → SymptomVector
  - Three-stage normalization:
    - Stage 1: Extract keywords
    - Stage 2: Normalize (stop words, abbreviations)
    - Stage 3: Generate deterministic SHA256 hash
  - Tool-specific abbreviation mappings (npm, cargo, kubectl, docker, go)
  - Stop words list (30+ common words)
  - Confidence scoring based on keyword specificity

TEST COVERAGE: 22 tests passing
  - 10 unit tests in lib (determinism, abbreviations, stop words, tools, case, order)
  - 12 integration tests (a1-a6 assertions from design doc)
  - Real-world scenario tests (npm, cargo, kubectl)
  - 100% deterministic hashing verified

INTEGRATION:
- Module exported in crates/mem-core/src/lib.rs
- All 43 existing mem-core tests still passing
- Ready for M3.7.4 context endpoint integration

DESIGN ASSERTIONS (all passing):
✅ a1: Same symptom = same hash (deterministic)
✅ a2: Abbreviation expansion (ERESOLVE → error resolve)
✅ a3: Stop word removal (is, unable, to, the)
✅ a4: Tool consistency (npm ≠ cargo for same error)
✅ a5: Case insensitive (NPM = npm)
✅ a6: Keyword order irrelevant (sorted before hash)
 2026-08-28 08:08:55 -07:00
Story Crater Bot 695e115212 Deploy Poimen Memory K8s cluster with ArgoCD tracking (M2.2, M3.5-M3.7) 2026-08-22 23:13:42 -07:00
Story Crater Bot 33b7150f56 feat: complete M0.1-M0.4 phases 
M0.1 - Cargo workspace + crate skeletons
  - 6-crate workspace with correct dependency direction
  - CI/CD pipeline with GitHub Actions
  - Integration tests verifying build and dependency structure

M0.2 - Domain types and sha256 identity
  - Level (L0, L1, L2) enum with proper serde formatting
  - Role enum (User, Assistant, ToolResult, System)
  - Record, Chunk, and MemoryNode domain types
  - Content-hash identity system ensuring rebuild idempotence
  - Newtypes (ProjectId, QueryId, RunId) with validation
  - Round-trip serde tests for all types

M0.3 - RecordSource trait + ChunkPolicy
  - RecordSource trait for streaming record sources
  - Chunk policy with token budgets and boundary modes
  - TokenCounter trait with CharsOverFourCounter stub
  - Chunking stream that respects budgets without splitting records
  - VecSource for testing
  - Integration tests verifying lossless chunking and budget adherence

M0.4 - Tokenizer-backed chunk sizing
  - Vendored Qwen2 tokenizer with hash verification
  - QwenTokenCounter implementing proper token counting
  - Hash guard that fails on modified tokenizer
  - mem tokens CLI subcommand for token counting
  - Integration tests with known string counts, hash guards, and budget verification

Total: 19 integration tests passing, all phases verified to compose correctly
Workspace builds cleanly with no clippy warnings
 2026-08-22 23:13:42 -07:00