kami
5fe8f228c1
Add a read-only /ecosystem page that consumes the sibling services' JSON APIs (Nexus entities, Praxis attention, Hexis capabilities), fetched concurrently with honest per-panel error states. Siblings stay headless — mavweb is their human surface (arch §16). Wired via mavweb -nexus/-praxis/-hexis flags; mavweb joins the ecosystem compose network. Fix mobile horizontal overflow across all pages: .content is a flex child with default min-width:auto, so it refused to shrink below the tables' intrinsic width. min-width:0 lets wide tables pan inside .scroll instead of dragging the page sideways. Verified via CDP geometry check (scrollWidth === clientWidth at 430px). Also includes in-progress Ethos UI redesign, ecosystem deploy compose, and planning docs. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
94 lines
4.3 KiB
Markdown
94 lines
4.3 KiB
Markdown
# Maven — Re-architecture (Qwen3 resident model, revised 2026-07-18)
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> Supersedes the classifier-first routing model. Agreed in a design session
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> after diagnosing that homesrv deploys with a **stub phraser** (no LLM
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> running) and an embedder-classifier that routes by nearest-neighbor between
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> frozen seed phrases — the structural cause of "she messes up queries."
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>
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> Hardware reality: homesrv = Ryzen 5 5600U laptop, Vega iGPU, 14 GB shared
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> RAM. Workstation (RX 7900 XT) is NOT the deploy target and is often busy.
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> So: small models, on-demand where heavy, always-on where cheap.
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## Principle
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The LLM is **not** the center of everything. Deterministic tools handle the
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bulk. One locally trained **Qwen3-1.7B** resident model is used for routing and
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talking back. Its system prompt selects one of two independently evaluated
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contracts: route actions or persona responses.
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**If the router is good, Maven feels good.** Routing is the linchpin.
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## The spine
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```
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utterance
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→ [world-state context] cheap: time, presence, calendar_busy, weather (no LLM)
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→ ROUTER = Qwen3-1.7B (always-on, grammar-constrained)
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reads utterance + context + tool schema, emits a STRUCTURED action:
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• call a tool (deterministic) • answer directly
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→ tools (deterministic, fast)
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→ PHRASER = Qwen3-1.7B (same resident process) → TTS / text
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```
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- **Router = Phraser = one resident Qwen3-1.7B llama-server**, with separate
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route and persona prompts/contracts. Always warm; classifier/stub remain the
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failure floors.
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- The resident checkpoint is trained end-to-end as: Qwen3-1.7B-Base → RU CPT →
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joint persona/router SFT → merge → GGUF. Larger on-demand reasoning models
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are deferred until the main feature set is complete.
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- **Embedder demoted from router to tool** — it now backs `memory.search`
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(RAG) and gives the router a cheap "similar past notes/intents" hint. The
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router no longer depends on it clearing a threshold. Upgrade MiniLM → bge-m3
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for better RU retrieval later (model swap, not architecture).
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### Router output
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- Constrained structured JSON action `{tool, args, escalate}` — NOT free-form
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multi-step function-calling. Sub-1B is far more reliable emitting a fixed
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schema. Enforce with a **GBNF grammar** in llama.cpp (near-bulletproof).
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- Keep the existing **stage-0 exact-match fast-path** for dead-obvious commands
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(skips the router entirely) — cheap insurance, already built.
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## The proactive / memory half — one background engine
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"Take notes," "remember," "reflect," "suggest do you want to add X?", "remind"
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are NOT request-path features. They are one **digestion worker**:
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```
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DIGESTION WORKER (periodic + event-driven, off the request path)
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• reads new facts/notes since last pass
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• RAG-consolidates: dedupe, link, summarize into durable memory
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• reflects: detect patterns ("mentioned X three times")
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• proposes: "want me to add X / remind you about Y?" → nudge dispatcher
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• surfaces due reminders
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uses the resident Qwen3 model for bounded synthesis — never blocks a turn
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```
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Notes capture is a deterministic Tier-0 tool; making notes *mean something
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later* is the worker + RAG.
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## Layer table
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| Layer | What | Runs |
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|---|---|---|
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| Context | world-state (time/presence/calendar/weather) | always, no LLM |
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| **Router** | Qwen3 structured-action orchestrator — linchpin | **always-on** |
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| Tools | note/reminder/memory/calendar/weather/act (deterministic) | always |
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| Reasoner | larger specialist model | **deferred** |
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| Phraser | Qwen3 persona response | **always-on (same proc as router)** |
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| Digestion worker | reflection → suggestions/nudges/memory | **background** |
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| Reach | telegram (+ existing ntfy/voice) | quick win |
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| Voice quality | custom/better TTS | **deferred** (workstation GPU busy) |
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## Build order
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1. **Foundation + router** — completed shared llama-server client, router,
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fallback, replier, TTS normalization and telegram reach.
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2. **Qwen3 resident checkpoint** — finish RU CPT, pass the raw-vs-CPT gate,
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jointly SFT persona/router contracts, merge, quantize and deploy.
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3. **Main features** — reflection, proactive suggestions, memory
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consolidation, RAG read-back.
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4. **Deferred work** — larger reasoner, custom Piper voice and other expansions.
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## Non-goals (unchanged)
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Never phones home. Not a nag. Not autonomous. Feminine-gendered RU self-ref.
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