81c97a9df1
feat(memory): add experimental qmd search backend
2026-02-15 19:33:43 -08:00
9f81c01603
feat(session): persist model tier overrides per session
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Store per-session config in SQLite and route /model and /reset through command fast-paths so channel sessions keep independent model selection across reconnects and restarts.
2026-02-13 01:04:26 -08:00
6e8984f788
feat(core): add command, intent, and routing primitives
2026-02-12 22:47:22 -08:00
6090508bad
style: auto-fix ESLint issues (curly braces and formatting)
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- Add curly braces to all if/else/for/while statements
- Fix indentation and trailing spaces
- Auto-fixed 372 linting errors using eslint --fix
- Remaining issues are warnings only (non-null assertions, explicit any types)
2026-02-11 10:30:24 -08:00
9be8f76bc7
feat: implement Tier 3 features — lane queue, credential redaction, token dashboard, xAI, Voyage AI
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- Lane Queue: per-session FIFO queue in gateway replacing reject-when-busy (9 tests)
- Credential Redaction: redactConfig() expanded to cover 18+ secret fields (16 tests)
- Web UI Token Dashboard: system.tokenUsage endpoint + Usage page with summary cards
- xAI (Grok) Provider: OpenAI-compatible client with model pricing
- Voyage AI Embeddings: new embedding provider with configurable dimensions (5 tests)
- Update gap analysis: 90→95 match (70%→74%), Tier 3 section marked DONE
- Update state.json: test count 1001→1034, add tier3_completion entry
Total: 1034 tests passing across 85 files, typecheck clean
2026-02-09 10:32:57 -08:00
88731a50e3
feat: add heartbeat monitor and vector memory search (Tier 2)
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Heartbeat:
- HeartbeatMonitor with 5 checks: gateway, model, channels, memory, disk
- Configurable interval, failure threshold, notification channel
- Recovery notifications when health restores
- 25 new tests
Vector Memory Search:
- EmbeddingProvider interface with OpenAI, Gemini, Ollama, LlamaCpp backends
- SQLite-backed VectorStore with cosine similarity search
- Text chunker with paragraph-aware splitting and overlap
- HybridSearch merging keyword + vector results with configurable weight
- Background indexer with dirty-namespace tracking
- Graceful fallback to keyword search when embeddings unavailable
- 51 new tests
Config: automation.heartbeat + memory.embedding schema sections
Total: 950 tests passing, all types clean
2026-02-07 14:45:11 -08:00
2e1071230a
feat: add persistent memory system (Phase 2)
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Implement file-based persistent memory with read/write/search tools:
- MemoryStore with namespace-scoped JSON storage
- memory-read, memory-write, memory-search builtin tools
- Auto-extraction of facts during context compaction
- Configurable via memory.enabled, memory.dir, memory.max_context_tokens
2026-02-06 14:23:59 -08:00
William Valentin