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Author SHA1 Message Date
Story Crater Bot 57c434ccdd docs: comprehensive query optimization guides for developers
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Added two major documentation pieces:

1. README.md - New Section: M3.8 Pluggable Query Optimization
   ✅ Architecture overview (ingest + query paths)
   ✅ 6 practical usage patterns with code examples:
      - Basic query with auto-optimization
      - Prompt construction with optimization
      - Custom optimizer implementation
      - Optimized query with metrics tracking
      - Batch optimization for multiple queries
      - Conditional optimization with graceful fallback
   ✅ Environment configuration
   ✅ Compression targets by content type
   ✅ Performance targets table
   ✅ Monitoring via structured logging
   ✅ Best practices (5 key points)
   ✅ Links to full documentation

2. QUERY-OPTIMIZATION-COOKBOOK.md - Quick Reference (15KB)
   ✅ Basic usage patterns
   ✅ Prompt construction techniques
   ✅ Custom optimizer examples:
      - Content-type specific (Python optimizer)
      - Domain-specific (Medical optimizer)
      - Semantic pruning
   ✅ Format handlers (built-in + custom Gzip example)
   ✅ Error handling (graceful fallback + retry)
   ✅ Testing patterns (unit, integration, mocking)
   ✅ Configuration examples (env vars + Kubernetes)
   ✅ Performance tips (5 optimization strategies)
   ✅ Debugging guide

Target Audience: Developers integrating query optimization into:
- query_executor.rs
- hybrid_query_worker.rs
- Custom LLM clients

Includes:
- Copy-paste ready code examples
- Real-world patterns for medical, code, text optimization
- Testing strategies
- Kubernetes deployment config
- Debug logging setup
- Performance profiling tips
 2026-08-28 12:32:08 -07:00
Story Crater Bot 27ae5fbcdf docs: M3.8 pluggable optimizer comprehensive guide
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Complete documentation for the pluggable optimizer architecture:

Architecture Overview:
- SOLID principles (S: OptimizerPlugin, F: FormatHandler | O: Registry trait)
- DRY code (generic Registry<T>, reusable pattern)
- Dependency injection (PluginLocator strategy, OptimizerService)

Core Concepts:
1. OptimizerPlugin - custom optimization strategies
2. FormatHandler - output formats (JSON, JSONL, Raw, CSV, YAML)
3. Registry<T> - generic plugin/format storage
4. PluginLocator - extensible lookup strategies
5. OptimizerService - orchestrator with dependency injection

Usage Patterns:
1. Built-in optimizer (no custom code)
2. Custom optimizer + format
3. Ingest-time optimization (rebuild.rs)
4. Query-time optimization (query_executor.rs)

Full Integration Guide:
- Environment variables
- Ingest pipeline wiring
- Query path wiring
- Monitoring (Prometheus + logging)

Examples:
- Semantic pruning optimizer
- Code formatter optimizer

Performance Targets:
- Ingest: <1ms/record, 1000+/sec
- Query: <50ms P95, graceful fallback
- Compression: 85-95% logs, 70-90% JSON, 30-50% text

Metrics: Prometheus counters + structured logging + health checks
 2026-08-28 12:14:49 -07:00
Story Crater Bot 262478f7f2 plan: add Magika ML classifier to content router
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2026-08-28 09:12:09 -07:00
Story Crater Bot 25e3a1cc4c docs: context optimizer design (Headroom-inspired pre-LLM compression)
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2026-08-28 09:03:01 -07:00
Story Crater Bot 4527e161b2 docs: add comprehensive M3.7.7 + M3.7.8 verification report (13.9KB)
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VERIFICATION COMPLETED:
✅ M3.7.7 (Signature Extraction):
  - 9/9 assertions verified (a1-a9)
  - 18 unit tests passing in mem-core
  - 871 LOC core logic + 9 real fixtures
  - CLI command working (mem sig --tool=X --file=F)

✅ M3.7.8 (Symptom Projection):
  - 6/6 core assertions verified (a1-a6)
  - 22 tests passing (10 unit + 12 integration)
  - 250 LOC implementation
  - Deterministic 3-stage pipeline

TOTAL: 40+ tests passing, 15/15 assertions verified, 100% coverage

FIXTURES: 9 real logs (npm, cargo, kubectl)
PERFORMANCE: <1ms extraction (target: <50ms)
LLM CALLS: 0 (fully deterministic)

HANDOFF: Ready for M3.7.4 context endpoint
 2026-08-28 08:13:36 -07:00
Story Crater Bot fad0759dd7 docs: add M3.7 failure diagnosis pipeline complete design guide
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2026-08-28 07:50:12 -07:00
Story Crater Bot 71a6557334 docs: add M3.7.8 symptom projection design — 3-stage normalization, 6 test assertions, 250 LOC implementation plan
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2026-08-28 07:49:34 -07:00
Story Crater Bot 3f096e8f9c docs: OpenSearch Deployment & Operations Guide 
Complete guide for OpenSearch + Dashboards production operations:

✅ Quick Start (5 steps):
  1. Verify cluster health (curl _cluster/health)
  2. Access Dashboards UI (port-forward 5601)
  3. Configure Memory Service (OPENSEARCH_HOSTS env var)
  4. Test vault endpoints (vault.riotpiao.com)
  5. Test hybrid search (/memory/query)

📊 Operations:
  - Health checks and monitoring
  - Troubleshooting: pods not starting, yellow/red status, connection issues
  - Performance tuning: JVM memory, shard config
  - Backup & recovery procedures
  - Security hardening checklist (production)

🔐 Security:
  - TODO items for production deployment
  - Dashboards password change
  - OpenSearch security plugin enable
  - OAuth2/SAML integration

📈 Integration:
  - Architecture diagram (pgvector + OpenSearch)
  - Query flow explanation
  - Graceful degradation scenarios
  - Dependency management

🔧 Useful Commands:
  - Health status queries
  - Index management
  - Pod logs and resource usage
  - PVC monitoring

Deployment checklist:
  Phase 1: ✅ OpenSearch deployed
  Phase 2: 🔄 Configure Memory Service (NEXT)
  Phase 3: 🔄 Test endpoints
  Phase 4: ⏳ Production hardening
 2026-08-27 21:12:10 -07:00
Story Crater Bot c508f224ff feat: Memory Service API ready for deployment — Vault JSON endpoints + Hybrid search 
API Changes (crates/mem-cli/src/http_server.rs):

✅ Vault Endpoints (JSON API):
  - GET /memory/vault → {projects: [...]}
  - GET /memory/vault?project=X → {project: X, files: [...]}
  - GET /memory/vault/{proj}/{file} → {metadata: {...}, content: '...'}
  - YAML frontmatter parsed to JSON metadata
  - Auth: JWT on all endpoints

✅ Search Endpoints:
  - GET /memory/query?method=semantic → pgvector only (60% weight)
  - GET /memory/query?method=hybrid (default) → pgvector + OpenSearch (fallback to semantic)
  - Hybrid score: 0.6*semantic + 0.4*lexical
  - Limit: top-10 results (default)

✅ AppState Extended:
  - opensearch_client: Option<Arc<OpenSearchClient>>
  - Initialized from OPENSEARCH_HOSTS env var (optional)
  - Graceful fallback if OpenSearch unavailable

✅ Handlers Updated:
  - vault_browser_handler() → returns JSON projects list
  - vault_project_tree() → helper for file tree generation
  - vault_project_handler() → GET /{project} → file tree JSON
  - vault_file_handler() → GET /{project}/{file} → JSON with metadata + content
  - query_handler() → hybrid search with semantic fallback

K8s Manifests (k8s/infra/databases/opensearch.yaml):

✅ OpenSearch StatefulSet:
  - 2 replicas for HA cluster (opensearch-0, opensearch-1)
  - Image: opensearchproject/opensearch:2.11.0
  - Services: opensearch (headless), opensearch-internal (ClusterIP 9200)
  - ConfigMap: opensearch.yml with cluster settings
  - PVC: 30Gi per pod (Longhorn storage class)
  - ServiceAccount + NetworkPolicy (Memory Service only)
  - Init container: set vm.max_map_count=262144
  - Probes: liveness (60s), readiness (30s)
  - Resources: 512Mi-1Gi memory, 250m-500m CPU
  - Security: plugins.security.disabled (K8s network isolated)

✅ Updated kustomization.yaml:
  - Added opensearch.yaml to resources

Documentation:

✅ docs/API_VAULT_ENDPOINTS.md (10KB):
  - Complete API reference with examples
  - Architecture: semantic (pgvector IVFFlat) + lexical (OpenSearch BM25)
  - Fusion strategy: weighted linear combination (60/40 split)
  - DNS records for vault.riotpiao.com + memory.riotpiao.com
  - Ingress configuration (dual-domain routing)
  - Frontend integration examples (React/Vue)
  - Fallback behavior (graceful degradation)
  - Performance tuning (IVFFlat lists, OpenSearch shards)
  - Security: JWT validation, rate limiting, field-level ACL (future)

✅ docs/DEPLOYMENT_CHECKLIST.md (8KB):
  - 5-phase deployment plan (API ready, OpenSearch, DNS, Testing, Frontend)
  - Step-by-step deployment commands
  - Testing procedures for vault + search endpoints
  - Troubleshooting: OpenSearch not found, cluster red, JWT validation
  - Monitoring metrics + dashboard queries
  - Fallback scenarios + error codes

Environment Variables:

- OPENSEARCH_HOSTS (optional, e.g., "opensearch-internal.poimen.svc.cluster.local:9200")
  - If unset: hybrid search disabled, falls back to semantic
  - CSV list supported: "host1:9200,host2:9200"

Deployment Summary:

1. ✅ API code ready (JSON endpoints, fallback to semantic if OpenSearch unavailable)
2. ✅ OpenSearch K8s manifests (StatefulSet + networking)
3. ✅ Documentation (API reference + deployment guide)
4. ⏳ Ready to: kubectl apply -k k8s/infra/databases/

Backward Compatibility:

✅ Existing JSON endpoints work without change
⚠️ HTML endpoints replaced with JSON (breaking change for old clients)
✅ Graceful fallback: hybrid search → semantic if OpenSearch missing
✅ Rate limiting preserved on all endpoints

Testing Ready:

- Vault tree endpoint testable after deployment
- Hybrid search testable once OpenSearch cluster ready
- All endpoints require JWT from Authentik
- Load test script provided

Next: Deploy OpenSearch + test against vault.riotpiao.com
 2026-08-27 21:05:09 -07:00
Story Crater Bot 959c596b1d chore: Archive completed task files (M0, M1, M3, M3.5, M4.1-2, M3.6.1) 
Deleted 31 completed task files:
- M0.x: 8 tasks (cargo, domain types, recordsource, tokenizer, adapters, gate)
- M1.x: 8 tasks (llm-chat, standing-query, prompt template, parser, loop, log, e2e, gate)
- M3.x: 4 tasks (l2-synthesis, rerank, mem-query, gate)
- M3.5.x: 8 tasks (http-server, ingest, query, federation, skills, projects, rate-limiting, gate)
- M3.6.1: DocCorpusSource (heading-boundary chunking)
- M4.1-2: skill-draft, derived-filter

Updated INDEX.md:
- Removed M0 & M1 phase sections (archived in git history)
- Updated progress table: 65 active tasks (42✅ + 2🟡 + 21⬜)
- Updated status: M0/M1 complete, M3/M3.5 gates passing, M4.1-2 done
- Noted M3.5.10 JWT auth implementation complete (awaiting image rollout)
- Cleaned up broken links to deleted task files

Total test count: 239 passing, 2 ignored (up from 196 at M3.4)
Ready for M4.3 gate composition, M5 post-training, M7 source connectors.
 2026-08-27 20:25:05 -07:00
Story Crater Bot a0832751bc feat: JWT auth validation with Authentik OIDC
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- Add jwt_validator module with JWKS caching (TTL + refresh-on-miss)
- Implement RS256 algorithm pinning + claim validation
- Replace apikey with Bearer token validation in http_server
- Add capability-based access control (memory:read/write/*)
- Backward compatible: MEM_AUTH_MODE=jwt|apikey (default: apikey)
- 16 tests passing (7 unit + 9 integration)
- Docs: JWT_AUTH.md with deployment guide

Config via env vars:
- MEM_AUTH_MODE=jwt
- AUTHENTIK_ISSUER=https://authentik.riotpiao.com/application/o/poimen-memory/
- AUTHENTIK_AUDIENCE=poimen-memory
- JWT_CACHE_TTL_SECS=3600 (optional)

Gw passes Authorization: Bearer <token> header
Memory validates + checks permissions claim
 2026-08-27 12:29:23 -07:00