BigMoeOnEdge/catalog
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feat(desktop): bmoe-server and a local web UI, for Windows, macOS and Linux (#215)
A second front-end next to bmoe-cli. bmoe-server keeps one model loaded
in one Session and serves a browser UI on 127.0.0.1:8765: chat with the
reasoning channel, live engine metrics per token, model management and
every engine setting. The settings form is rendered from the parameter
table alone (GET /api/params), so a knob added to the engine appears in
the UI with no UI change, and the UI names no engine parameter. The same
server speaks an OpenAI-compatible /v1/chat/completions, streaming, so
any OpenAI client can drive the engine. The API is in docs/server-api.md.

Layout. server/ holds HTTP, files and the platform, none of it in core/:
conversation, settings_store, event_bus and json_util are pure policy
(bmoe_server_core, unit-tested without a model); engine_host owns the one
Session; model_library the models folder, the catalog and resumable
downloads; planner_adapter offers /api/plan; platform.cpp is the only
file with platform conditionals. ui/ is Svelte and TypeScript. The model
catalog is data, catalog/models.json.

Behaviour. Settings live in layers (defaults, plan, launch flags, user)
and only the user's are saved. A chat continues the engine's KV cache
when the request extends the previous conversation by one message. With
the planner built in every load plans first, with the previous model
unloaded so the probes measure the machine and not the model in it.

Security model, stated in docs/server-api.md. The server binds to
loopback unless --host says otherwise and answers only to loopback host
names. A request to /api/* or /v1/* from another site is refused on
every method, whether it carries a foreign Origin or is marked
Sec-Fetch-Site: cross-site. Loads, unloads and plan measurements are
serialised, request bodies are capped at 8 MiB, and a parameter that
makes the engine write a file is refused over the API. It does not
protect against other local processes or users, and --host on a network
has neither authentication nor TLS.

Build and release. BMOE_BUILD_SERVER (on by default, off for Android)
builds bmoe-server and stages ui/dist and the catalog beside it. CI
formats server/ and compile-checks the server on macOS; release-host
builds the UI and attaches a bmoe-desktop archive per host target next to
bmoe-cli.

Tool calling and conversations. /v1/chat/completions takes tools,
tool_choice and tool messages and returns tool_calls, streamed or not; the
model's own chat template writes the tools and llama.cpp's chat layer
parses the calls back, so the server knows no tool syntax. The
conversation is the client's: every request carries the whole history and
the engine reuses the leading tokens its KV cache holds. Requests that
arrive while one runs wait their turn. A coding agent (opencode) fixes a
file through it.

Hardening. Every POST, PUT and DELETE to /api/* or /v1/* must declare
Content-Type: application/json, checked ahead of routing, and the chat
view drops form controls and styles from model output: together they stop
markup in an answer from posting to the API from the UI's own origin.
max_tokens is clamped to the n-predict bound. CI runs the UI's unit
tests.

The plan's arguments reach /api/plan as the list the plan renders from the
parameter table, not as text parsed back. A split model's storage is
probed where its experts are.
2026-10-13 21:35:39 +02:00
..
models.json feat(desktop): bmoe-server and a local web UI, for Windows, macOS and Linux (#215) 2026-10-13 21:35:39 +02:00