style: apply lint fixes
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@@ -6,6 +6,7 @@ import {
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createProcessTool,
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processTool,
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} from "./bash-tools.js";
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import { sanitizeBinaryOutput } from "./shell-utils.js";
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const isWin = process.platform === "win32";
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const shortDelayCmd = isWin ? "ping -n 2 127.0.0.1 > nul" : "sleep 0.05";
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@@ -17,10 +18,9 @@ const echoAfterDelay = (message: string) =>
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const echoLines = (lines: string[]) =>
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joinCommands(lines.map((line) => `echo ${line}`));
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const normalizeText = (value?: string) =>
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(value ?? "")
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sanitizeBinaryOutput(value ?? "")
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.replace(/\r\n/g, "\n")
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.replace(/\r/g, "\n")
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.replace(/[\u0000-\u0008\u000b\u000c\u000e-\u001f\u007f]/g, "")
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.split("\n")
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.map((line) => line.replace(/\s+$/u, ""))
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.join("\n")
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@@ -424,8 +424,42 @@ export async function scanOpenRouterModels(
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filtered,
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concurrency,
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async (entry) => {
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const isFree = isFreeOpenRouterModel(entry);
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if (!probe) {
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const isFree = isFreeOpenRouterModel(entry);
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if (!probe) {
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return {
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id: entry.id,
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name: entry.name,
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provider: "openrouter",
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modelRef: `openrouter/${entry.id}`,
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contextLength: entry.contextLength,
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maxCompletionTokens: entry.maxCompletionTokens,
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supportedParametersCount: entry.supportedParametersCount,
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supportsToolsMeta: entry.supportsToolsMeta,
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modality: entry.modality,
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inferredParamB: entry.inferredParamB,
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createdAtMs: entry.createdAtMs,
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pricing: entry.pricing,
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isFree,
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tool: { ok: false, latencyMs: null, skipped: true },
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image: { ok: false, latencyMs: null, skipped: true },
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} satisfies ModelScanResult;
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}
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const model: OpenAIModel = {
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...baseModel,
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id: entry.id,
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name: entry.name || entry.id,
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contextWindow: entry.contextLength ?? baseModel.contextWindow,
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maxTokens: entry.maxCompletionTokens ?? baseModel.maxTokens,
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input: parseModality(entry.modality),
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reasoning: baseModel.reasoning,
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};
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const toolResult = await probeTool(model, apiKey, timeoutMs);
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const imageResult = model.input.includes("image")
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? await probeImage(ensureImageInput(model), apiKey, timeoutMs)
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: { ok: false, latencyMs: null, skipped: true };
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return {
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id: entry.id,
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name: entry.name,
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@@ -440,44 +474,10 @@ export async function scanOpenRouterModels(
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createdAtMs: entry.createdAtMs,
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pricing: entry.pricing,
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isFree,
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tool: { ok: false, latencyMs: null, skipped: true },
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image: { ok: false, latencyMs: null, skipped: true },
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tool: toolResult,
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image: imageResult,
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} satisfies ModelScanResult;
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}
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const model: OpenAIModel = {
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...baseModel,
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id: entry.id,
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name: entry.name || entry.id,
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contextWindow: entry.contextLength ?? baseModel.contextWindow,
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maxTokens: entry.maxCompletionTokens ?? baseModel.maxTokens,
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input: parseModality(entry.modality),
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reasoning: baseModel.reasoning,
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};
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const toolResult = await probeTool(model, apiKey, timeoutMs);
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const imageResult = model.input.includes("image")
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? await probeImage(ensureImageInput(model), apiKey, timeoutMs)
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: { ok: false, latencyMs: null, skipped: true };
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return {
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id: entry.id,
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name: entry.name,
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provider: "openrouter",
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modelRef: `openrouter/${entry.id}`,
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contextLength: entry.contextLength,
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maxCompletionTokens: entry.maxCompletionTokens,
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supportedParametersCount: entry.supportedParametersCount,
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supportsToolsMeta: entry.supportsToolsMeta,
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modality: entry.modality,
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inferredParamB: entry.inferredParamB,
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createdAtMs: entry.createdAtMs,
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pricing: entry.pricing,
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isFree,
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tool: toolResult,
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image: imageResult,
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} satisfies ModelScanResult;
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},
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},
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{
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onProgress: (completed, total) =>
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options.onProgress?.({
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