openclaw/src/commands/models/scan.ts

399 lines
12 KiB
TypeScript

import {
cancel,
isCancel,
multiselect as clackMultiselect,
} 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 { CONFIG_PATH_CLAWDBOT, loadConfig } from "../../config/config.js";
import type { RuntimeEnv } from "../../runtime.js";
import {
stylePromptHint,
stylePromptMessage,
stylePromptTitle,
} from "../../terminal/prompt-style.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) },
),
});
const pad = (value: string, size: number) => value.padEnd(size);
const truncate = (value: string, max: number) => {
if (value.length <= max) return value;
if (max <= 3) return value.slice(0, max);
return `${value.slice(0, max - 3)}...`;
};
function sortScanResults(results: ModelScanResult[]): ModelScanResult[] {
return results.slice().sort((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;
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 sortImageResults(results: ModelScanResult[]): ModelScanResult[] {
return results.slice().sort((a, b) => {
const aLatency = a.image.latencyMs ?? Number.POSITIVE_INFINITY;
const bLatency = b.image.latencyMs ?? Number.POSITIVE_INFINITY;
if (aLatency !== bLatency) return aLatency - bLatency;
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 = loadConfig();
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,
});
if (isCancel(selection)) {
cancel(stylePromptTitle("Model scan cancelled.") ?? "Model scan cancelled.");
runtime.exit(0);
}
selected = selection as string[];
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,
});
if (isCancel(imageSelection)) {
cancel(
stylePromptTitle("Model scan cancelled.") ?? "Model scan cancelled.",
);
runtime.exit(0);
}
selectedImages = imageSelection as string[];
}
} 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.agent?.models };
for (const entry of selected) {
if (!nextModels[entry]) nextModels[entry] = {};
}
for (const entry of selectedImages) {
if (!nextModels[entry]) nextModels[entry] = {};
}
const existingImageModel = cfg.agent?.imageModel as
| { primary?: string; fallbacks?: string[] }
| undefined;
const nextImageModel =
selectedImages.length > 0
? {
...(existingImageModel?.primary
? { primary: existingImageModel.primary }
: undefined),
fallbacks: selectedImages,
...(opts.setImage ? { primary: selectedImages[0] } : {}),
}
: cfg.agent?.imageModel;
const existingModel = cfg.agent?.model as
| { primary?: string; fallbacks?: string[] }
| undefined;
const agent = {
...cfg.agent,
model: {
...(existingModel?.primary
? { primary: existingModel.primary }
: undefined),
fallbacks: selected,
...(opts.setDefault ? { primary: selected[0] } : {}),
},
...(nextImageModel ? { imageModel: nextImageModel } : {}),
models: nextModels,
} satisfies NonNullable<typeof cfg.agent>;
return {
...cfg,
agent,
};
});
if (opts.json) {
runtime.log(
JSON.stringify(
{
selected,
selectedImages,
setDefault: Boolean(opts.setDefault),
setImage: Boolean(opts.setImage),
results,
warnings: [],
},
null,
2,
),
);
return;
}
runtime.log(`Updated ${CONFIG_PATH_CLAWDBOT}`);
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]}`);
}
}