HomerandClaude Opus 5.5
6ec95fbd66
ci / check (push) Waiting to run
The four team tools (tool/team_tools.ts) on the rules of team/team.ts, driven from real turns by team/runtime.ts: - Members run on the subagent job machinery (app.ts spawn with `member`): background, unattended, their own prompt from blocks/team_member.md (the whole of team_lead.md for one with lead: true), team_send and team_read (team_add and team_stop for one that leads). Not jobs to the model: job_list and the job_* tools skip them; a client over the link still sees them as subagent jobs named "<name>: <role>". - The room: messages and reports with their marks, delivered at the next step boundary or waking a finished member or the idle lead; report posts to the manager. - A manager's work calls answer the refusal before the permission check, by risk class (an MCP tool by its readOnlyHint); the tool list is unchanged. job_stop and reading bash stay. - Slots: the lead waits for one before its turn (Esc stops the wait); members wait in order; task helpers in a team count toward the size and hold a slot; job_send restarting a helper is refused when full. - The offer is decided with the prompt and kept with it: a resumed session takes it from its kept tool list. - The size: agents.min/max settings, refused outside 1 <= min <= max <= cap, kept across /new and resume; said in a note on the first message, after a change, after a compaction and a rewind. - TUI: /team (tree and room, size, stop a member, dialogs for both), an "agents" row beside the effort in /effort, "team n/max" in the status bar. /team works over ACP too. tests/team.test.ts runs a lead, a member and its report through the app. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
69 lines
4.3 KiB
TypeScript
69 lines
4.3 KiB
TypeScript
// A scripted OpenAI-compatible server. Each request takes the next scripted response.
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export type Scripted =
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| { status: number; body: string }
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| { chunks: unknown[]; done?: boolean; raw?: string; gapMs?: number }
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export interface Fake {
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url: string
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requests: any[]
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/** Path (with query) and headers of each request, in order. */
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calls: { path: string; headers: Record<string, string> }[]
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stop(): void
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}
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/** `route`: another fake that answers for a model (by the id in the request), as one LLeMbas server
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* serves models from several backends — the request is passed to it whole, and recorded there. */
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/** `served`: what GET /v1/models lists, as a LLeMbas server lists its models (default two
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* placeholders). Any other GET — the instance's own description, its personalization — is a 404,
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* which a client reads as "this server does not have it". */
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/** `script` may be a function of the request (and its number), for requests that race: a team's
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* agents ask at once, and each is answered by who is asking. */
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export function fakeProvider(script: Scripted[] | ((body: any, n: number) => Scripted | undefined), opts: { route?: (model: string) => Fake | undefined; served?: Record<string, unknown>[] } = {}): Fake {
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const requests: any[] = []
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const calls: { path: string; headers: Record<string, string> }[] = []
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let i = 0
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const server = Bun.serve({
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port: 0,
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async fetch(req) {
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const url = new URL(req.url)
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if (req.method !== "POST" || url.pathname.endsWith("/unload")) calls.push({ path: url.pathname + url.search, headers: Object.fromEntries(req.headers.entries()) })
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if (url.pathname.endsWith("/models")) return Response.json({ data: opts.served ?? [{ id: "m1", meta: { n_ctx: 32768 } }, { id: "m2", max_model_len: 8192 }] })
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if (url.pathname.endsWith("/props")) return url.pathname.includes("/upstream/swapped/") ? Response.json({ default_generation_settings: { n_ctx: 16384 } }) : new Response("no", { status: 404 })
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if (url.pathname.endsWith("/unload")) return new Response("ok")
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if (req.method === "GET") return new Response("not found", { status: 404 })
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const body = (await req.json()) as any
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const to = typeof body?.model === "string" ? opts.route?.(body.model) : undefined
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if (to) return fetch(to.url.replace(/\/v1$/, "") + url.pathname + url.search, { method: "POST", headers: req.headers, body: JSON.stringify(body) })
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requests.push(body)
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calls.push({ path: url.pathname + url.search, headers: Object.fromEntries(req.headers.entries()) })
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const r = typeof script === "function" ? script(body, i++) : script[i++]
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if (!r) return new Response("script exhausted", { status: 500 })
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if ("status" in r) return new Response(r.body, { status: r.status })
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// gapMs: a pause between chunks, to look at the screen mid-stream.
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if (r.gapMs && !r.raw) {
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const gap = r.gapMs
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const parts = [...r.chunks.map((c) => `data: ${JSON.stringify(c)}\n\n`), ...(r.done === false ? [] : ["data: [DONE]\n\n"])]
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const stream = new ReadableStream({
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async start(ctl) {
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for (const [n, part] of parts.entries()) {
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if (n) await Bun.sleep(gap)
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ctl.enqueue(new TextEncoder().encode(part))
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}
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ctl.close()
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},
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})
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return new Response(stream, { headers: { "content-type": "text/event-stream" } })
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}
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const text = r.raw ?? r.chunks.map((c) => `data: ${JSON.stringify(c)}\n\n`).join("") + (r.done === false ? "" : "data: [DONE]\n\n")
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return new Response(text, { headers: { "content-type": "text/event-stream" } })
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},
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})
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return { url: `http://127.0.0.1:${server.port}/v1`, requests, calls, stop: () => server.stop(true) }
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}
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/** Chunk helpers in the OpenAI shape. */
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export const delta = (d: Record<string, unknown>, finish: string | null = null) => ({ choices: [{ index: 0, delta: d, finish_reason: finish }] })
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export const usage = (p: number, c: number) => ({ choices: [], usage: { prompt_tokens: p, completion_tokens: c } })
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export const toolCall = (index: number | undefined, id: string | undefined, name: string | undefined, args: unknown) =>
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delta({ tool_calls: [{ ...(index === undefined ? {} : { index }), ...(id ? { id } : {}), function: { ...(name ? { name } : {}), arguments: args } }] })
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