| import { cancel, multiselect as clackMultiselect, isCancel } from "@clack/prompts"; |
| import { resolveApiKeyForProvider } from "../../agents/model-auth.js"; |
| import { type ModelScanResult, scanOpenRouterModels } from "../../agents/model-scan.js"; |
| import { withProgressTotals } from "../../cli/progress.js"; |
| import { logConfigUpdated } from "../../config/logging.js"; |
| import { toAgentModelListLike } from "../../config/model-input.js"; |
| import type { RuntimeEnv } from "../../runtime.js"; |
| import { |
| stylePromptHint, |
| stylePromptMessage, |
| stylePromptTitle, |
| } from "../../terminal/prompt-style.js"; |
| import { pad, truncate } from "./list.format.js"; |
| import { loadModelsConfig } from "./load-config.js"; |
| import { formatMs, formatTokenK, updateConfig } from "./shared.js"; |
|
|
| const MODEL_PAD = 42; |
| const CTX_PAD = 8; |
|
|
| const multiselect = <T>(params: Parameters<typeof clackMultiselect<T>>[0]) => |
| clackMultiselect({ |
| ...params, |
| message: stylePromptMessage(params.message), |
| options: params.options.map((opt) => |
| opt.hint === undefined ? opt : { ...opt, hint: stylePromptHint(opt.hint) }, |
| ), |
| }); |
|
|
| function guardPromptCancel<T>(value: T | symbol, runtime: RuntimeEnv): T { |
| if (isCancel(value)) { |
| cancel(stylePromptTitle("Model scan cancelled.") ?? "Model scan cancelled."); |
| runtime.exit(0); |
| throw new Error("unreachable"); |
| } |
| return value; |
| } |
|
|
| function sortScanResults(results: ModelScanResult[]): ModelScanResult[] { |
| return results.slice().toSorted((a, b) => { |
| const aImage = a.image.ok ? 1 : 0; |
| const bImage = b.image.ok ? 1 : 0; |
| if (aImage !== bImage) { |
| return bImage - aImage; |
| } |
|
|
| const aToolLatency = a.tool.latencyMs ?? Number.POSITIVE_INFINITY; |
| const bToolLatency = b.tool.latencyMs ?? Number.POSITIVE_INFINITY; |
| if (aToolLatency !== bToolLatency) { |
| return aToolLatency - bToolLatency; |
| } |
|
|
| return compareScanMetadata(a, b); |
| }); |
| } |
|
|
| function sortImageResults(results: ModelScanResult[]): ModelScanResult[] { |
| return results.slice().toSorted((a, b) => { |
| const aLatency = a.image.latencyMs ?? Number.POSITIVE_INFINITY; |
| const bLatency = b.image.latencyMs ?? Number.POSITIVE_INFINITY; |
| if (aLatency !== bLatency) { |
| return aLatency - bLatency; |
| } |
|
|
| return compareScanMetadata(a, b); |
| }); |
| } |
|
|
| function compareScanMetadata(a: ModelScanResult, b: ModelScanResult): number { |
| const aCtx = a.contextLength ?? 0; |
| const bCtx = b.contextLength ?? 0; |
| if (aCtx !== bCtx) { |
| return bCtx - aCtx; |
| } |
|
|
| const aParams = a.inferredParamB ?? 0; |
| const bParams = b.inferredParamB ?? 0; |
| if (aParams !== bParams) { |
| return bParams - aParams; |
| } |
|
|
| return a.modelRef.localeCompare(b.modelRef); |
| } |
|
|
| function buildScanHint(result: ModelScanResult): string { |
| const toolLabel = result.tool.ok ? `tool ${formatMs(result.tool.latencyMs)}` : "tool fail"; |
| const imageLabel = result.image.skipped |
| ? "img skip" |
| : result.image.ok |
| ? `img ${formatMs(result.image.latencyMs)}` |
| : "img fail"; |
| const ctxLabel = result.contextLength ? `ctx ${formatTokenK(result.contextLength)}` : "ctx ?"; |
| const paramLabel = result.inferredParamB ? `${result.inferredParamB}b` : null; |
| return [toolLabel, imageLabel, ctxLabel, paramLabel].filter(Boolean).join(" | "); |
| } |
|
|
| function printScanSummary(results: ModelScanResult[], runtime: RuntimeEnv) { |
| const toolOk = results.filter((r) => r.tool.ok); |
| const imageOk = results.filter((r) => r.image.ok); |
| const toolImageOk = results.filter((r) => r.tool.ok && r.image.ok); |
| const imageOnly = imageOk.filter((r) => !r.tool.ok); |
| runtime.log( |
| `Scan results: tested ${results.length}, tool ok ${toolOk.length}, image ok ${imageOk.length}, tool+image ok ${toolImageOk.length}, image only ${imageOnly.length}`, |
| ); |
| } |
|
|
| function printScanTable(results: ModelScanResult[], runtime: RuntimeEnv) { |
| const header = [ |
| pad("Model", MODEL_PAD), |
| pad("Tool", 10), |
| pad("Image", 10), |
| pad("Ctx", CTX_PAD), |
| pad("Params", 8), |
| "Notes", |
| ].join(" "); |
| runtime.log(header); |
|
|
| for (const entry of results) { |
| const modelLabel = pad(truncate(entry.modelRef, MODEL_PAD), MODEL_PAD); |
| const toolLabel = pad(entry.tool.ok ? formatMs(entry.tool.latencyMs) : "fail", 10); |
| const imageLabel = pad( |
| entry.image.ok ? formatMs(entry.image.latencyMs) : entry.image.skipped ? "skip" : "fail", |
| 10, |
| ); |
| const ctxLabel = pad(formatTokenK(entry.contextLength), CTX_PAD); |
| const paramsLabel = pad(entry.inferredParamB ? `${entry.inferredParamB}b` : "-", 8); |
| const notes = entry.modality ? `modality:${entry.modality}` : ""; |
|
|
| runtime.log([modelLabel, toolLabel, imageLabel, ctxLabel, paramsLabel, notes].join(" ")); |
| } |
| } |
|
|
| export async function modelsScanCommand( |
| opts: { |
| minParams?: string; |
| maxAgeDays?: string; |
| provider?: string; |
| maxCandidates?: string; |
| timeout?: string; |
| concurrency?: string; |
| yes?: boolean; |
| input?: boolean; |
| setDefault?: boolean; |
| setImage?: boolean; |
| json?: boolean; |
| probe?: boolean; |
| }, |
| runtime: RuntimeEnv, |
| ) { |
| const minParams = opts.minParams ? Number(opts.minParams) : undefined; |
| if (minParams !== undefined && (!Number.isFinite(minParams) || minParams < 0)) { |
| throw new Error("--min-params must be >= 0"); |
| } |
| const maxAgeDays = opts.maxAgeDays ? Number(opts.maxAgeDays) : undefined; |
| if (maxAgeDays !== undefined && (!Number.isFinite(maxAgeDays) || maxAgeDays < 0)) { |
| throw new Error("--max-age-days must be >= 0"); |
| } |
| const maxCandidates = opts.maxCandidates ? Number(opts.maxCandidates) : 6; |
| if (!Number.isFinite(maxCandidates) || maxCandidates <= 0) { |
| throw new Error("--max-candidates must be > 0"); |
| } |
| const timeout = opts.timeout ? Number(opts.timeout) : undefined; |
| if (timeout !== undefined && (!Number.isFinite(timeout) || timeout <= 0)) { |
| throw new Error("--timeout must be > 0"); |
| } |
| const concurrency = opts.concurrency ? Number(opts.concurrency) : undefined; |
| if (concurrency !== undefined && (!Number.isFinite(concurrency) || concurrency <= 0)) { |
| throw new Error("--concurrency must be > 0"); |
| } |
|
|
| const cfg = await loadModelsConfig({ commandName: "models scan", runtime }); |
| const probe = opts.probe ?? true; |
| let storedKey: string | undefined; |
| if (probe) { |
| try { |
| const resolved = await resolveApiKeyForProvider({ |
| provider: "openrouter", |
| cfg, |
| }); |
| storedKey = resolved.apiKey; |
| } catch { |
| storedKey = undefined; |
| } |
| } |
| const results = await withProgressTotals( |
| { |
| label: "Scanning OpenRouter models...", |
| indeterminate: false, |
| enabled: opts.json !== true, |
| }, |
| async (update) => |
| await scanOpenRouterModels({ |
| apiKey: storedKey ?? undefined, |
| minParamB: minParams, |
| maxAgeDays, |
| providerFilter: opts.provider, |
| timeoutMs: timeout, |
| concurrency, |
| probe, |
| onProgress: ({ phase, completed, total }) => { |
| if (phase !== "probe") { |
| return; |
| } |
| const labelBase = probe ? "Probing models" : "Scanning models"; |
| update({ |
| completed, |
| total, |
| label: `${labelBase} (${completed}/${total})`, |
| }); |
| }, |
| }), |
| ); |
|
|
| if (!probe) { |
| if (!opts.json) { |
| runtime.log( |
| `Found ${results.length} OpenRouter free models (metadata only; pass --probe to test tools/images).`, |
| ); |
| printScanTable(sortScanResults(results), runtime); |
| } else { |
| runtime.log(JSON.stringify(results, null, 2)); |
| } |
| return; |
| } |
|
|
| const toolOk = results.filter((entry) => entry.tool.ok); |
| if (toolOk.length === 0) { |
| throw new Error("No tool-capable OpenRouter free models found."); |
| } |
|
|
| const sorted = sortScanResults(results); |
| const toolSorted = sortScanResults(toolOk); |
| const imageOk = results.filter((entry) => entry.image.ok); |
| const imageSorted = sortImageResults(imageOk); |
| const imagePreferred = toolSorted.filter((entry) => entry.image.ok); |
| const preselectPool = imagePreferred.length > 0 ? imagePreferred : toolSorted; |
| const preselected = preselectPool |
| .slice(0, Math.floor(maxCandidates)) |
| .map((entry) => entry.modelRef); |
| const imagePreselected = imageSorted |
| .slice(0, Math.floor(maxCandidates)) |
| .map((entry) => entry.modelRef); |
|
|
| if (!opts.json) { |
| printScanSummary(results, runtime); |
| printScanTable(sorted, runtime); |
| } |
|
|
| const noInput = opts.input === false; |
| const canPrompt = process.stdin.isTTY && !opts.yes && !noInput && !opts.json; |
| let selected: string[] = preselected; |
| let selectedImages: string[] = imagePreselected; |
|
|
| if (canPrompt) { |
| const selection = await multiselect({ |
| message: "Select fallback models (ordered)", |
| options: toolSorted.map((entry) => ({ |
| value: entry.modelRef, |
| label: entry.modelRef, |
| hint: buildScanHint(entry), |
| })), |
| initialValues: preselected, |
| }); |
|
|
| selected = guardPromptCancel(selection, runtime); |
| if (imageSorted.length > 0) { |
| const imageSelection = await multiselect({ |
| message: "Select image fallback models (ordered)", |
| options: imageSorted.map((entry) => ({ |
| value: entry.modelRef, |
| label: entry.modelRef, |
| hint: buildScanHint(entry), |
| })), |
| initialValues: imagePreselected, |
| }); |
|
|
| selectedImages = guardPromptCancel(imageSelection, runtime); |
| } |
| } else if (!process.stdin.isTTY && !opts.yes && !noInput && !opts.json) { |
| throw new Error("Non-interactive scan: pass --yes to apply defaults."); |
| } |
|
|
| if (selected.length === 0) { |
| throw new Error("No models selected for fallbacks."); |
| } |
| if (opts.setImage && selectedImages.length === 0) { |
| throw new Error("No image-capable models selected for image model."); |
| } |
|
|
| const _updated = await updateConfig((cfg) => { |
| const nextModels = { ...cfg.agents?.defaults?.models }; |
| for (const entry of selected) { |
| if (!nextModels[entry]) { |
| nextModels[entry] = {}; |
| } |
| } |
| for (const entry of selectedImages) { |
| if (!nextModels[entry]) { |
| nextModels[entry] = {}; |
| } |
| } |
| const existingImageModel = toAgentModelListLike(cfg.agents?.defaults?.imageModel); |
| const nextImageModel = |
| selectedImages.length > 0 |
| ? { |
| ...(existingImageModel?.primary ? { primary: existingImageModel.primary } : undefined), |
| fallbacks: selectedImages, |
| ...(opts.setImage ? { primary: selectedImages[0] } : {}), |
| } |
| : cfg.agents?.defaults?.imageModel; |
| const existingModel = toAgentModelListLike(cfg.agents?.defaults?.model); |
| const defaults = { |
| ...cfg.agents?.defaults, |
| model: { |
| ...(existingModel?.primary ? { primary: existingModel.primary } : undefined), |
| fallbacks: selected, |
| ...(opts.setDefault ? { primary: selected[0] } : {}), |
| }, |
| ...(nextImageModel ? { imageModel: nextImageModel } : {}), |
| models: nextModels, |
| } satisfies NonNullable<NonNullable<typeof cfg.agents>["defaults"]>; |
| return { |
| ...cfg, |
| agents: { |
| ...cfg.agents, |
| defaults, |
| }, |
| }; |
| }); |
|
|
| if (opts.json) { |
| runtime.log( |
| JSON.stringify( |
| { |
| selected, |
| selectedImages, |
| setDefault: Boolean(opts.setDefault), |
| setImage: Boolean(opts.setImage), |
| results, |
| warnings: [], |
| }, |
| null, |
| 2, |
| ), |
| ); |
| return; |
| } |
|
|
| logConfigUpdated(runtime); |
| runtime.log(`Fallbacks: ${selected.join(", ")}`); |
| if (selectedImages.length > 0) { |
| runtime.log(`Image fallbacks: ${selectedImages.join(", ")}`); |
| } |
| if (opts.setDefault) { |
| runtime.log(`Default model: ${selected[0]}`); |
| } |
| if (opts.setImage && selectedImages.length > 0) { |
| runtime.log(`Image model: ${selectedImages[0]}`); |
| } |
| } |
|
|