LLeMbas CLI 1.0.0

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>

tests/budget.test.ts

@@ -0,0 +1,67 @@
+// Budgets for one prompt (harness spec loop.json, from LLeMbas's agent limits): past one, the
+// tools are withdrawn and the model answers from what it has — checked between steps, never
+// mid-reply, and with time spent waiting for the user not counted.
+import { afterEach, expect, test } from "bun:test"
+import { mkdirSync, mkdtempSync, writeFileSync } from "node:fs"
+import { tmpdir } from "node:os"
+import { join } from "node:path"
+import { createApp } from "../src/app.ts"
+import type { AskReply, Event } from "../src/bus/index.ts"
+import { paths } from "../src/config/paths.ts"
+import { delta, fakeProvider, toolCall, usage, type Fake } from "./fake-provider.ts"
+
+let fake: Fake | undefined
+afterEach(() => fake?.stop())
+
+function app(limits: string, script: Parameters<typeof fakeProvider>[0], ask: () => Promise<AskReply> = async () => ({ kind: "once" })) {
+  fake = fakeProvider(script)
+  mkdirSync(paths.config, { recursive: true })
+  writeFileSync(join(paths.config, "connections.yaml"), `connections:\n  f:\n    dialect: openai-chat\n    base_url: ${fake.url}\n    models: { m: {} }\n`, { mode: 0o600 })
+  writeFileSync(join(paths.config, "config.yaml"), `model: f/m\ntitles: prompt\nlimits: { ${limits} }\n`)
+  const cwd = mkdtempSync(join(tmpdir(), "ph-budget-"))
+  writeFileSync(join(cwd, "big.txt"), "x".repeat(5000) + "\n")
+  return createApp({ cwd, mode: "edit", store: false, snapshots: false, asker: { ask } })
+}
+
+const tools = (r: any) => (r.tools ?? []).map((t: any) => t.function.name)
+
+test("past the output budget the tools are withdrawn, the model is told, and it answers", async () => {
+  const a = app("output_bytes: 1000", [
+    { chunks: [toolCall(0, "r1", "read", '{"path":"big.txt"}')] },
+    { chunks: [delta({ content: "It is a file of x." }, "stop")] },
+  ])
+  const notices: string[] = []
+  a.bus.on((e: Event) => e.type === "notice" && notices.push(e.message))
+  expect(await a.engine.prompt("what is in big.txt?")).toBe("budget")
+  expect(tools(fake!.requests[0])).toContain("read")
+  expect(tools(fake!.requests[1])).toEqual([])
+  expect(JSON.stringify(fake!.requests[1].messages.at(-1))).toContain("reached the budget for this reply")
+  expect(notices.join("\n")).toContain("with too much tool output to read")
+})
+
+test("the token budget counts what the model wrote this prompt", async () => {
+  const a = app("completion_tokens: 50", [
+    { chunks: [toolCall(0, "r1", "read", '{"path":"big.txt"}'), usage(10, 80)] },
+    { chunks: [delta({ content: "done" }, "stop")] },
+  ])
+  await a.engine.prompt("go")
+  expect(tools(fake!.requests[1])).toEqual([])
+})
+
+test("time spent waiting for an approval is not spent from the wall-clock budget", async () => {
+  // bash asks in edit mode; the user takes 1.5 s, the budget is 1 s, and the model still gets its tools.
+  const a = app(
+    "wall_seconds: 1",
+    [{ chunks: [toolCall(0, "b1", "bash", '{"command":"echo hi"}')] }, { chunks: [toolCall(0, "r1", "read", '{"path":"big.txt"}')] }, { chunks: [delta({ content: "ok" }, "stop")] }],
+    async () => (await Bun.sleep(1500), { kind: "once" }),
+  )
+  await a.engine.prompt("go")
+  expect(tools(fake!.requests[1])).toContain("read")
+  expect(tools(fake!.requests[2])).toContain("read")
+})
+
+test("no budget set: nothing is withdrawn", async () => {
+  const a = app("steps: 200", [{ chunks: [toolCall(0, "r1", "read", '{"path":"big.txt"}')] }, { chunks: [delta({ content: "ok" }, "stop")] }])
+  await a.engine.prompt("go")
+  expect(tools(fake!.requests[1])).toContain("read")
+})