LLeMbas CLI 1.0.0
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The first public release of LLeMbas CLI: a terminal coding agent and project manager for any LLM
API, with permission modes, git snapshots, memory and skills, knowledge bases, MCP, voice, and a
link to a LLeMbas instance whose web UI can work its sessions too. Signed Linux binaries for x64
and arm64.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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HomerandClaude Opus 5.5 committed 2026-10-09 21:59:03 +00:00
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// The `webui` connection: one entry in connections.yaml that names a LLeMbas instance and
// nothing else —
//
// example:
// type: webui
// url: https://ai.example.org
// api_key: "{file:~/.config/lembas/lembas/example.key}"
//
// The models are the instance's, read from its /v1/models with the settings its administrator gave
// them (context, efforts, sampling, capacity), and so are the voice and the web search when
// config.yaml says `provider: webui`. Nothing is copied into the config: a model added, removed or
// given another context on the instance is here at the next start, without logging in again.
//
// LLeMbas CLI speaks to it as an ordinary openai-chat connection at <url>/v1. What the instance said
// last is kept in the state directory, so a start without the network still knows the models; a
// start that can reach the instance reads them again first (`refreshWebui`).
import { existsSync, mkdirSync, readFileSync, rmSync, writeFileSync } from "node:fs"
import { join } from "node:path"
import { parse } from "yaml"
import { paths } from "../config/paths.ts"
import type { Connection, ModelSpec, WebuiConnection } from "../config/schema.ts"
import { runKeyCmd, substituteDeep } from "../config/substitute.ts"
import { instanceInfo, LembasError, models as listModels, normalise, personalization, type InstanceInfo, type Personalization, type ServedModel, type Tls } from "./client.ts"
/** What a loaded webui connection carries besides an openai-chat connection's fields. */
export interface WebuiMark {
/** The instance's base address, without /v1. */
url: string
/** The model this account's new chats start on there, as the connection's model id. */
default?: string
/** The instance's name (Example), when it said. */
name?: string
services?: InstanceInfo["services"]
/** When the models were last read from the instance; absent: never. */
fetched_at?: string
/** Each served model's provider, where the instance said it (`provider`). */
providers?: Record<string, string>
/** The served ids of its embedding models, which are not chat models and so not in
* `models`: `embedding: llama/nomic-embed` finds its connection by them (library/embed.ts). */
embeddings?: string[]
/** The instance speaks link protocol 2: its ids are `<provider>/<model>` even
* where a model does not say its provider. Set by loadConfig from the login. */
v2?: boolean
}
export type WebuiLoaded = Connection & { webui: WebuiMark }
export interface Cache {
fetched_at: string
url: string
instance?: InstanceInfo
models: ServedModel[]
/** The account's personalization, where the instance has the endpoint. */
personalization?: Personalization
}
const cacheDir = () => join(paths.state, "webui")
export const cacheFile = (connection: string) => join(cacheDir(), `${connection}.json`)
export function readCache(connection: string): Cache | undefined {
try {
const c = JSON.parse(readFileSync(cacheFile(connection), "utf8")) as Cache
return Array.isArray(c.models) ? c : undefined
} catch {
return undefined
}
}
export function writeCache(connection: string, cache: Cache) {
mkdirSync(cacheDir(), { recursive: true, mode: 0o700 })
writeFileSync(cacheFile(connection), JSON.stringify(cache, null, 2) + "\n", { mode: 0o600 })
}
export function dropCache(connection: string) {
rmSync(cacheFile(connection), { force: true })
}
/** A served model a session can talk to: `kind` chat, or none (an instance that does not
* say `kind` lists nothing else). The others — embedding, stt, tts, image — are no chat model: listed
* as one, the model picker offered a speech model to talk to. The embedding ones are the
* library's to use (login.ts, useEmbedding); voice reaches stt and tts through the instance's own
* endpoints. */
export function isChatModel(m: ServedModel): boolean {
// Anything but the four non-chat kinds is chat: an instance may put the connection's dialect
// ("openai", "anthropic") in `kind`, and reading that as "not chat" would leave such an instance
// with no models at all.
return !NOT_CHAT.has(String(m.kind ?? ""))
}
const NOT_CHAT = new Set(["embedding", "stt", "tts", "image"])
/** One served model as a LLeMbas CLI model entry. Only what the instance said: an absent field
* stays absent, because unknown is not zero. The capacity group is prefixed with the connection,
* so the instance's "gpu" is never mistaken for a group of the user's own. */
export function specFor(m: ServedModel, connection: string): ModelSpec {
const out: Record<string, unknown> = {}
if (m.name && m.name !== m.id) out.name = m.name
if (m.family) out.family = m.family
if (m.context) out.context = m.context
if (m.max_output) out.max_output = m.max_output
if (typeof m.temperature === "number" && m.temperature >= 0 && m.temperature <= 2) out.temperature = m.temperature
if (typeof m.top_p === "number" && m.top_p >= 0 && m.top_p <= 1) out.top_p = m.top_p
if (m.efforts?.length) out.efforts = m.efforts
if (m.effort) out.effort = m.effort
if (m.vision !== undefined) out.vision = m.vision
if (m.tools !== undefined) out.tools = m.tools
if (m.notes) out.notes = m.notes.slice(0, 300)
if (m.capacity?.single_session) out.single_session = true
if (m.capacity?.group) out.group = `${connection}:${m.capacity.group}`
return out as ModelSpec
}
/** A webui entry as the openai-chat connection LLeMbas CLI speaks to, with the instance's models
* (the account's default first) and anything the entry's own `models:` says on top. */
export function expandWebui(name: string, w: WebuiConnection, cache = readCache(name)): WebuiLoaded {
const url = normalise(w.url)
// The cache keeps every kind (login picks the embedding model from it); the connection only chat.
const all = cache && cache.url === url ? cache.models : []
const served = all.filter(isChatModel)
const embeddings = all.filter((m) => m.kind === "embedding").map((m) => m.id)
const def = cache?.instance?.default_model ?? served.find((m) => m.default)?.id
const ordered = [...served].sort((a, b) => Number(b.id === def) - Number(a.id === def))
// The entry's own `models:` go over the instance's — keyed by the served id, or by the bare name an
// older entry used (`deepseek-flash` for the served `deepseek/deepseek-flash`): the
// override lands on the real model, not on a model of its own nobody serves.
const overrides = new Map<string, ModelSpec>()
const unmatched: [string, ModelSpec][] = []
for (const [key, spec] of Object.entries(w.models ?? {})) {
const target = served.some((m) => m.id === key) ? key : served.filter((m) => m.id.slice(m.id.indexOf("/") + 1) === key && m.id.includes("/"))
if (typeof target === "string") overrides.set(target, { ...overrides.get(target), ...spec })
else if (target.length === 1) overrides.set(target[0]!.id, { ...spec, ...overrides.get(target[0]!.id) })
else unmatched.push([key, spec])
}
const models: Record<string, ModelSpec> = {}
for (const m of ordered) models[m.id] = { ...specFor(m, name), ...(overrides.get(m.id) ?? {}) }
// A model the entry names that the instance does not (yet) list: kept, as written.
for (const [id, spec] of unmatched) models[id] ??= spec
const providers = Object.fromEntries(served.filter((m) => m.provider && m.id.startsWith(`${m.provider}/`)).map((m) => [m.id, m.provider!]))
return {
dialect: "openai-chat",
base_url: `${url}/v1`,
...(w.api_key !== undefined ? { api_key: w.api_key } : {}),
...(w.key_cmd !== undefined ? { key_cmd: w.key_cmd } : {}),
...(w.tls ? { tls: w.tls } : {}),
...(w.timeout ? { timeout: w.timeout } : {}),
...(w.quirks ? { quirks: w.quirks } : {}),
// The instance decides which models exist: one it serves that the cache does not know yet is
// still a model, not an error.
discover: true,
models,
webui: {
url,
...(def && models[def] ? { default: def } : {}),
...(cache?.instance?.name ? { name: cache.instance.name } : {}),
...(cache?.instance?.services ? { services: cache.instance.services } : {}),
...(cache && cache.url === url ? { fetched_at: cache.fetched_at } : {}),
...(Object.keys(providers).length ? { providers } : {}),
...(embeddings.length ? { embeddings } : {}),
},
}
}
export function isWebui(c: unknown): c is WebuiLoaded {
return !!c && typeof c === "object" && "webui" in c && !!(c as WebuiLoaded).webui
}
/** Read the instance's models and services, and keep them. Throws LembasError. */
export async function fetchWebui(name: string, url: string, token: string, tls: Tls | undefined, timeoutMs?: number): Promise<Cache> {
const base = normalise(url)
const [served, instance, personal] = await Promise.all([
listModels({ api: { openai: `${base}/v1` } }, token, tls, timeoutMs),
instanceInfo(base, token, tls, timeoutMs),
// Best-effort: an instance may not have it, and a failure here must not cost the models.
personalization(base, token, tls, timeoutMs).catch(() => undefined),
])
const cache: Cache = { fetched_at: new Date().toISOString(), url: base, ...(instance ? { instance } : {}), models: served, ...(personal ? { personalization: personal } : {}) }
writeCache(name, cache)
return cache
}
/** This process's last refresh that failed, by connection: the loader says so, beside the models
* it is using instead. */
export const refreshFailures: Record<string, string> = {}
export interface Refreshed {
name: string
ok: boolean
error?: string
models?: number
}
/** Every webui connection in connections.yaml, read again from its instance — what a start does
* first, so the models are the instance's as they are now. Never throws: an instance that cannot
* be reached leaves what was read last, and says so. */
export async function refreshWebui(o: { timeoutMs?: number; only?: string } = {}): Promise<Refreshed[]> {
const file = join(paths.config, "connections.yaml")
if (!existsSync(file)) return []
let raw: Record<string, unknown>
try {
raw = ((parse(readFileSync(file, "utf8")) ?? {}) as { connections?: Record<string, unknown> }).connections ?? {}
} catch {
return []
}
const entries = Object.entries(raw).filter(([name, c]) => (!o.only || o.only === name) && (c as { type?: string })?.type === "webui")
return Promise.all(
entries.map(async ([name, c]): Promise<Refreshed> => {
try {
const w = substituteDeep(c, `connections.${name}`) as WebuiConnection
const token = w.api_key ?? (w.key_cmd ? runKeyCmd(w.key_cmd, `connections.${name}.key_cmd`) : undefined)
if (!token) throw new LembasError("no key (lembas login)")
const got = await fetchWebui(name, w.url, token.trim(), w.tls, o.timeoutMs ?? 4000)
delete refreshFailures[name]
return { name, ok: true, models: got.models.length }
} catch (e) {
refreshFailures[name] = (e as Error).message
return { name, ok: false, error: (e as Error).message }
}
}),
)
}