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25011a2085
Closed every remaining π‘ / π΅ row in PARITY.md. Each algorithm FortΓ©mi ships now has a real implementation in @hanzo/bot-memory v2.0.0 with matching ports in hanzo-memory (Python), bot-go (Go), and hanzoai/mcp (Rust). Cross-runtime tests: 121 TS + 53 Python + 58 Go + 38 Rust = 270 passing. Landed under packages/memory/ Retrieval & ranking fusion RRF (k=20 BEIR) + RSF (Weaviate v1.24) + adaptive k + adaptive FTS/semantic weights rerank MMR (Carbonell & Goldstein 1998), cosine dedup chunk-aware deduplication script Unicode script detection (Latin/CJK/emoji/Cyrillic/ Arabic/Hebrew/Greek/Devanagari) fts feature-flag matrix, CJK bigrams, emoji trigrams, websearch_to_tsquery parser, SQLite FTS5 MATCH renderer embed embedding registry, asymmetric E5 prefixes, Matryoshka truncation, coarse-dim picker two-stage coarse β fine retrieval via MRL federated cross-archive search with RRF fusion multi-memory X-Hanzo-Memory routing (X-Fortemi-Memory alias) filters composable tag/temporal/collection/scope predicates temporal UUIDv7 floor/ceiling + named ranges spatial Haversine + bbox + in-box (PostGIS fallback) Knowledge & graph graph normalize β SNN β PFNET-β β Louvain maintenance pipeline skos W3C SKOS concept tree (broader/narrower closures, Turtle export) fair Dublin Core XML + JSON-LD doc-types document type registry + auto-detect (filename/MIME/ content sniff) captions WebVTT / SRT / RTTM renderers sprite thumbnail sprite-sheet WebVTT cue builder code-ast language-aware syntactic chunker email RFC 2822 / MIME parser (multipart, qp, base64, HTML strip) exif EXIF parser (camera / time / GPS) Operational events EventBus + SSE renderer + webhook HMAC signer tokenizer BPE-style estimator + truncate-to-budget eval MRR / recall@k / precision@k / NDCG@k / benchmark hardware tier autodetect + per-tier model recommender circuit-breaker closed / open / half-open retry exponential backoff with full jitter range HTTP Range parser + Content-Range formatter tus TUS v1.0.0 (Create / Patch / metadata / checksum) Crypto address wallet-style content-addressable ids (hanzo: / mm:) mmpke01 multi-recipient envelope parser/builder + magic-byte sniff Inference (packages/memory/inference/) index InferenceBackend trait + registry slug provider-qualified routing (provider:model:tag) capabilities capability flags + task-based selector runtime-config hot-swap config (db_override β env β default) mock deterministic backend (for tests) few-shot ICL prompt builder (3-5 examples capped) refinement Self-Refine / ReAct / Reflexion patterns link-types rule + LLM link classifier (11 canonical types) vision VisionBackend trait + Ollama default transcription Whisper-compatible HTTP client diarization pyannote-compatible HTTP client + alignSpeakers / relabel gliner GLiNER zero-shot NER HTTP client Extraction (packages/memory/extract/) index registry + dispatcher text native UTF-8 passthrough email RFC 2822 adapter spreadsheet CSV/TSV pure-JS; xlsx via registerXlsxDecoder archive ZIP central-directory pure-JS reader exif-adapter EXIF for images code tree-sitter-style syntactic chunker pdf PdfSidecar HTTP adapter factory image VisionBackend-backed adapter factory audio TranscriptionBackend-backed adapter factory video keyframe + scene + transcript adapter factory 3d multi-view 3D model adapter factory media-optimize ffmpeg variants (faststart / web-compat / 720p) adapter factory structured JSON-schema structured-extract adapter factory summarizer fast/standard cascade adapter factory sprite-adapter thumbnail sprite-sheet adapter factory Cross-runtime ports hanzo-memory (Python) 53 tests, ports of fusion / rerank / dedup / script / fts / embed / temporal / captions / tokenizer / eval / spatial / range / address / graph / doc-types / circuit / retry / slug / runtime-config / link-types bot-go (Go) 58 tests, same algorithm set ported with standard-library-only primitives hanzoai/mcp::brain (Rust) 38 tests, same algorithm set; sha2 added as dependency (blake3 stand-in) PARITY.md is now 100% green (β in-monorepo + π’ sibling-repo). No π΅ placeholders remain.
67 lines
1.7 KiB
TypeScript
67 lines
1.7 KiB
TypeScript
/**
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* Hardware tier detection.
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*
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* Pure JS β looks at NODE-side `os` for CPU/mem, and optionally accepts
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* a user-provided GPU report. Returns a tier slug consumers can pass to
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* model selectors.
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*/
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import os from "node:os";
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export type Tier = "edge" | "gpu-12gb" | "gpu-24gb" | "cpu-only";
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export interface GpuInfo {
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vramGb?: number;
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name?: string;
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}
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export interface SystemReport {
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tier: Tier;
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cpuCount: number;
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totalRamGb: number;
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gpu?: GpuInfo;
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}
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export function detectHardware(gpu?: GpuInfo): SystemReport {
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const cpuCount = os.cpus()?.length ?? 1;
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const totalRamGb = Math.round((os.totalmem() / 1024 / 1024 / 1024) * 10) / 10;
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return { tier: pickTier(gpu), cpuCount, totalRamGb, gpu };
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}
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export function pickTier(gpu?: GpuInfo): Tier {
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if (!gpu || !gpu.vramGb || gpu.vramGb === 0) return "cpu-only";
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if (gpu.vramGb >= 24) return "gpu-24gb";
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if (gpu.vramGb >= 12) return "gpu-12gb";
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return "edge";
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}
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/** Recommend models given a tier. Returns provider-qualified slugs. */
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export function recommendModels(tier: Tier): { gen: string; embed: string; vision: string } {
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switch (tier) {
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case "cpu-only":
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return {
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gen: "ollama:qwen3.5:7b",
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embed: "ollama:nomic-embed-text",
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vision: "ollama:qwen3.5:7b",
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};
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case "edge":
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return {
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gen: "ollama:qwen3.5:9b",
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embed: "ollama:nomic-embed-text",
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vision: "ollama:qwen3.5:9b",
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};
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case "gpu-12gb":
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return {
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gen: "ollama:qwen3.5:9b",
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embed: "ollama:nomic-embed-text",
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vision: "ollama:qwen3.5:9b",
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};
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case "gpu-24gb":
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return {
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gen: "ollama:qwen3.5:27b",
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embed: "ollama:nomic-embed-text",
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vision: "ollama:qwen3.5:27b",
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};
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}
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}
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