21001f2eb8
Four places a model can reach for, differing in who writes a record and how it gets in front of the model. **Knowledge** is uploaded by a person and searched by the model. It goes through `services/files.py:prepare` — the same pipeline as a chat attachment — so the same PDF produces the same text whichever way it arrived, and `Document` carries the same content columns as `Attachment` for the same reason. **Notes** are written by the model and edited by you. Too long to inject, so they are searched. **Memory** is short facts, and every one of them goes into every request. That single decision is where the rest of its design comes from: records are capped short, the block has a budget, there is no search tool because the model is already looking at them, and they are not shareable — a record about a person is not content to hand round. **Skills** are saved procedures. Only the name and description are injected; the body is fetched when the model decides one applies, which is what makes a hundred skills affordable. A model may write and revise its own — the safety story is not a gate but a record: every revision is kept, attributed and revertible. A model that has just read a hostile page can save a skill that outlives the conversation, and the honest mitigation is that it is visible and undoable rather than that it was prevented. **The harness** is why any of it gets used. A model handed a tools array ignores it and answers from recall, because nothing in the request suggests otherwise. `services/harness.py` assembles a preamble from what this chat actually has: when to reach for each tool, the memories, the skill index. This is an exception to "system prompts are precedence, not concatenation", and a deliberate one. That rule governs the three *authored* layers and is untouched — exactly one still wins. The harness is a different axis: it describes the machinery rather than the behaviour, nobody authored it, and there is nothing for it to disagree with. It is prepended to whichever authored prompt won, in one system message, since several endpoints reject a second. Supporting changes: - **Sharing**, in one helper. `visible_to()` is the only definition of who can see a library item and every listing and tool goes through it. Sharing grants *reading*; two people editing one note with no history and no merge is worse than copying it. **Administrators do not bypass this** — they bypass permissions elsewhere because an admin can grant themselves those anyway, but reading somebody's private notes is a different act. - **FTS5**, created by `db/migrations.py:ensure_fts` with the triggers an external-content index needs. Idempotent, like the column sync beside it. Terms are ANDed and then ORed: the caller is usually a model writing a whole question, and requiring every word loses the match on one absent term. - **The attach button is a menu** — file, image, a web page, or a document from the library. Attaching a document copies it, because history must not change when a document is edited later. - **A URL fetcher with an SSRF guard.** This server can reach the router, the other services on the box and LLeMbas itself, and the address can come from a model. Private ranges are refused *after resolution* and redirects are followed by hand so every hop is checked. An admin can open it deliberately. - **Model capabilities split** into protocol support and a toggle per built-in tool. Rows predating the split have no `tool_*` keys, and absent counts as on when `tools` is on — otherwise an upgrade silently takes web search away from every model already configured for it. Also fixes the test fixture, which built the schema with `create_all` and so ran against a database without the FTS tables production has; it now runs `sync_schema`, the same path startup takes. 430 tests, ruff clean. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
245 lines
12 KiB
Markdown
245 lines
12 KiB
Markdown
# LLeMbas — plan and status
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Where the project is, what is deliberately not built yet, and the decisions
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that would be expensive to revisit. Kept current as work lands; the detail of
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*how* things work lives in [`CLAUDE.md`](CLAUDE.md).
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**Status:** usable daily. Streaming chat, attachments, reasoning, tool calling
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with web search, a knowledge library, notes, memory and skills, speech in and
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out, users and groups, model administration, installable as an app. 428 tests,
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`ruff` clean.
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---
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## The shape of it
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A self-hosted web UI for OpenAI-compatible endpoints, written in Python, themed
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after Middle-earth.
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|---|---|
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| Stack | FastAPI + Jinja + htmx + a little Alpine |
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| Build step | none — no Node, no npm, no CDN at runtime |
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| Database | SQLite, schema synchronised additively at startup |
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| Deployment | systemd unit + nginx vhost, one worker |
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These are load-bearing. Dropping the no-build rule or moving off SQLite would
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be a different project, not a refactor.
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---
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## Done
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### Chat
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- [x] Streaming replies over server-sent events
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- [x] **Markdown renders progressively** — re-rendered whole every 100ms rather
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than appending tokens, because a list or code fence is only correct once
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its context exists
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- [x] Syntax highlighting (Pygments), sanitised with nh3
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- [x] **Generation runs in the background** — a task, not the request. Navigate
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away, open another chat, close the tab: the reply keeps being written and
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reattaching replays the whole state
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- [x] **Stop** — the send button becomes Stop while writing; what arrived is kept
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- [x] **Rewind** — edit one of your own turns and the conversation runs on from
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there. Truncates rather than branching
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- [x] Copy, regenerate, automatic chat titles
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- [x] Chats created on first message, so an abandoned composer leaves nothing
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- [x] **Unread indicator** — a green dot and a toast when a reply lands while
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you were elsewhere
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- [x] Folders, arbitrarily nested; deleting one keeps the chats inside it
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### Tools
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- [x] **Tool calling** — one reply is a bounded loop of requests, not one
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request. Text produced before a call is kept
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- [x] **Web search** as the first tool: DuckDuckGo (no setup), SearXNG or
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Firecrawl, chosen in the admin area
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- [x] Only offered to models flagged `tools`, because an endpoint without
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support rejects the whole request rather than ignoring the array
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- [x] Sources stay in the transcript; results are **not** replayed as context on
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the next turn, for the same reasons reasoning is not
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### The library
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- [x] **Knowledge** — documents, images and saved web pages, ingested through
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the same pipeline as chat attachments, searched with SQLite FTS5
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- [x] **Notes** — longer things the model writes down and searches later;
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editable by hand, because they are yours
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- [x] **Memory** — short facts, injected on every turn to a budget rather than
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searched, and managed in your settings
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- [x] **Skills** — saved procedures. Only the name and description are injected;
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the body is fetched when the model decides it applies
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- [x] A model may write and revise its own notes, memories and skills. Every
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skill revision is kept, attributed and revertible — the safety story is a
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record and a way back, not a gate
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- [x] **Sharing** — any of the three can be shared with a group or with named
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people, read-only. One visibility rule, and administrators do not bypass it
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- [x] **The harness** — an operational prompt assembled from what a model
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actually has, so the tools get used rather than ignored
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- [x] Attach menu: file, image, a web page fetched on the spot, or a document
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from the library
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### Audio
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- [x] **Dictation** — record in the composer, transcribed by any OpenAI-shaped
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`/v1/audio/transcriptions` endpoint. The recording never touches disk
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- [x] **Read aloud** — any `/v1/audio/speech` endpoint, with the voice list
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discovered from the server where it offers one
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- [x] Instance defaults in Admin, per-reader overrides in Settings — voice,
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speed, dictation language, and whether replies play automatically
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### Models and reasoning
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- [x] OpenAI-compatible connections with encrypted keys and model discovery
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- [x] **Reasoning display** — `reasoning_content` and inline `<think>` tags,
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collapsed by default, labelled with how long it took, never replayed as
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context
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- [x] Model admin as a list plus a page per model; scales to hundreds
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- [x] Ordering, pinning (a sidebar shortcut, *not* a reordering), instance
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default, per-user default, images, capability flags
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- [x] Custom model picker showing avatars, descriptions and capabilities
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### Attachments
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- [x] Drag, paste or pick images, PDFs and text files
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- [x] Images downscaled and sent to vision models as content parts
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- [x] PDF and text extracted at upload and placed in the prompt
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- [x] Type decided by inspecting bytes, random names on disk, non-images served
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as downloads with `nosniff`
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- [x] No OCR: a scanned PDF says so rather than silently contributing nothing
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### People
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- [x] Accounts, argon2, revocable server-side sessions, self-service password
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change
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- [x] Users and groups with permissions that **union** rather than override
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- [x] Model access restricted to chosen groups
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- [x] Registration toggle, instance settings stored in the database
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### Prompts
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- [x] Three layers — instance, model, chat — with the most specific winning
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**outright** rather than being concatenated
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### Interface
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- [x] **Installable** — manifest, generated PWA icons, a service worker for the
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shell and a themed offline page. The worker deliberately never touches
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`/api/`: a reply is an event stream and caching one breaks it
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- [x] Two themes (`moria`, `shire`) from one set of design tokens
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- [x] Every control sized from `--control-h`, so rows line up by construction
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- [x] Toasts and dialogs of our own; no `window.confirm` anywhere
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- [x] Original SVG artwork generated from a single source
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### Operations
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- [x] Additive schema sync — new tables and columns applied at startup
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- [x] `deploy/` — systemd unit and nginx templates, install and update scripts
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---
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## Not built yet
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In the order they are likely to be worth doing.
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### Custom tools and MCP servers
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An MCP client managing configured servers, their tools surfaced alongside the
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built-in ones. The loop they plug into exists now — `services/tools.py` is a
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registry of thirteen tools and `services/generation.py` already runs bounded
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rounds — so this is a client and an admin screen rather than a change to how
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chat works.
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### Agentic execution
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Two modes, as originally specified:
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- **local** — subprocess on the machine LLeMbas runs on
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- **remote** — SSH connection profiles, with `shell.run` / `fs.read` / `fs.write`
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Needs a confirmation model before it does anything. Note that the systemd unit
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is deliberately only `ProtectSystem=full` rather than `strict` **because** of
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this — revisit the hardening when the real filesystem needs are known.
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### Image generation
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Left until last from the start, as it needs heavy customisation. ComfyUI is
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already running on this machine and is the obvious first target.
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### Smaller things
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- **OCR** for scanned PDFs
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- **Conversation branching** — `Message.parent_id` exists unused; needs a UI for
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choosing between versions, which is why rewind truncates for now
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- **Chat export** (Markdown, JSON)
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- **Semantic search** in the library — the retrieval service is one call, so an
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embedding backend can go behind it without touching the tools or the UI
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- **Archived chats** — the column exists, nothing surfaces it
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- **Per-user quotas**
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---
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## Known limits
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Worth knowing before they surprise someone.
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**One worker.** The generation registry and the stop mechanism are in-process.
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Running several workers needs that state in the database or a broker, because
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the request following a reply would not necessarily land in the process writing
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it.
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**A restart abandons replies in flight.** Shutdown cancels them and keeps what
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each had. There is no resume.
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**Schema changes are additive only.** New tables and columns apply themselves;
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renames, drops and retypes are manual against the SQLite file. `MANUAL_STEPS`
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in `db/migrations.py` is where such a step gets recorded.
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**Attachments live on disk, unreferenced files are swept at startup.** No
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deduplication, no size quota.
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**Unread is polled every 10 seconds.** A push channel would be more responsive
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but means an always-on connection per tab for the sake of a green dot.
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**Installing needs HTTPS or localhost.** Service workers are unavailable over
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plain HTTP, so a LAN install without TLS is a normal browser tab. The
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microphone is unavailable for the same reason.
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**Tool calling needs a model that supports it.** The `tools` flag is an
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administrator's assertion, not something endpoints reliably advertise. Set it on
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a model that cannot, and its replies fail rather than degrade.
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**Library search is keyword, not semantic.** FTS5 ranks well and needs no
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dependency or embedding endpoint, but "how do I get paid" will not find a
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document that says "invoicing".
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**A model can write its own skills, and they take effect at once.** Marked as
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model-authored and fully revertible, but a model that has just read a hostile
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page could save a skill that outlives the conversation. The mitigation is that
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it is visible and undoable, not that it was prevented.
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---
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## Deliberate decisions
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Recorded because each looks like an oversight until you know the reason.
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- **No JavaScript build step.** Browser libraries are hash-pinned and committed.
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A self-hosted tool should work offline and not report page views to a CDN.
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- **Permissions union, never deny.** With denies, "why can this user not do X"
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cannot be answered without simulating every group.
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- **System prompts replace, never stack.** Two layers that disagree give the
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model contradictory instructions and nobody can tell which is losing.
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- **Rewind truncates, does not branch.** Branching needs a UI for choosing
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between versions; "go back and try again from here" is what was asked for.
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- **Pinning is a shortcut, not an ordering.** A picker whose order silently
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differs from the admin screen is confusing.
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- **Images only reach models marked `vision`.** Not graceful degradation: most
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endpoints reject the entire request rather than ignoring an image part. Tools
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are gated the same way, for the same reason.
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- **Sharing grants reading, never writing.** Two people editing one note with no
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history and no merge is worse than the inconvenience of copying it.
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- **Memory is never shareable.** A record about a person is not content to hand
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round.
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- **Knowledge attached to a message is copied, not referenced.** History must not
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change under a conversation because a document was edited later.
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- **The harness is prepended to the authored prompt, not a fourth layer.** It
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describes the machinery; the authored layers describe the behaviour. Only one
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authored layer still wins.
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- **Tool results are not replayed.** Like reasoning: the answer already contains
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what the model made of them, and replaying stale results into every later
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request wastes the window and sends small models into search loops.
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- **The service worker caches the shell, never a page with a user in it.** A
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cached conversation would be a snapshot that silently went stale, belonging to
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whoever was signed in last.
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- **Markdown rendered server-side.** One code path produces the streamed and
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the stored view, so they cannot disagree.
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- **This repository is public.** Deployment hostnames, ports and paths stay out
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of it; `deploy/` is templates, and the real values live in private notes.
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