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Merged
gujieye merged 10 commits into from
Jun 17, 2026
Merged

feat: change output & table name into English #59

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3f29f93
feat: replace model
gujieye Jun 15, 2026
14fc293
feat: opt json output & reduce Chinese table name
gujieye Jun 16, 2026
c54f6a6
feat: model recommend use english prompt & output
gujieye Jun 16, 2026
93cecc3
feat: model recommend use english output
gujieye Jun 16, 2026
f816d5c
Merge branch 'main' into feat/update-intent-model
gujieye Jun 16, 2026
b01d35c
Merge branch 'main' into feat/update-intent-model
gujieye Jun 17, 2026
8cb24b7
feat: merge main
gujieye Jun 17, 2026
cbeb2bf
Merge branch 'main' into feat/update-intent-model
gujieye Jun 17, 2026
edb3465
feat: temp save
gujieye Jun 17, 2026
7593baf
Merge branch 'feat/update-intent-model' of https://github.com/modelst…
gujieye Jun 17, 2026
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438 changes: 438 additions & 0 deletions docs/plans/finetune-deploy-mvp.md
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113 changes: 66 additions & 47 deletions packages/cli/src/commands/advisor/recommend.ts
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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
Text: "文本",
Image: "图片",
Video: "视频",
Audio: "音频",
Text: "Text",
Image: "Image",
Video: "Video",
Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
TG: "文本生成",
VU: "视觉理解",
IG: "图像生成",
VG: "视频生成",
TTS: "语音合成",
ASR: "语音识别",
Reasoning: "推理",
TG: "Text Gen",
VU: "Vision",
IG: "Image Gen",
VG: "Video Gen",
TTS: "Text-to-Speech",
ASR: "Speech-to-Text",
Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
low: "低成本优先",
medium: "适中",
high: "高投入",
low: "Cost-Effective",
medium: "Balanced",
high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
flagship: "旗舰优先",
balanced: "均衡",
"cost-optimized": "性价比优先",
flagship: "Flagship",
balanced: "Balanced",
"cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
scoped: "限定范围",
comparison: "对比评估",
alternative: "替代推荐",
scoped: "Scoped",
comparison: "Comparison",
alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

const lines: string[] = [];
lines.push(colorize.cyan.bold("需求理解"));
lines.push(colorize.cyan.bold("Intent Analysis"));

if (intent.taskSummary) {
lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

if (intent.scenarioHints.length) {
lines.push("");
lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
}

const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
if (inputLabels.length || outputLabels.length) {
lines.push("");
const parts: string[] = [];
if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
lines.push(parts.join(" "));
}

const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
if (capLabels.length) {
lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
}

const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
lines.push("");
lines.push(
`${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
`${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
);

const preference = intent.modelPreference;
if (preference && preference.mode !== "unconstrained") {
lines.push("");
const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
if (preference.targets?.length) {
prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
}
if (preference.excludes?.length) {
prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
}
lines.push(prefParts.join(" "));
}

if (intent.segments?.length) {
lines.push("");
lines.push(colorize.dim("任务拆解"));
lines.push(colorize.dim("Pipeline"));
for (const [idx, segment] of intent.segments.entries()) {
const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
});
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
const colorFn = labelColors[index] ?? colorize.white.bold;
const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

const lines: string[] = [];
lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
lines.push("");
lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
lines.push("");
lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

if (rec.highlights.length) {
lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
}

const meta: string[] = [];
if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
if (meta.length) {
lines.push("");
lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
const docLink = buildDocLink(rec.docUrl);
if (docLink) {
lines.push("");
lines.push(colorize.dim(`文档 ${docLink}`));
lines.push(colorize.dim(`Docs ${docLink}`));
}

return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
const lines: string[] = [];
lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

if (!userInput.trim()) {
if (isInteractive({ nonInteractive: config.nonInteractive })) {
const hint = await promptText({ message: "描述你的需求:" });
const hint = await promptText({ message: "Describe your requirement:" });
if (!hint) {
process.stderr.write("已取消。\n");
process.stderr.write("Cancelled.\n");
process.exit(1);
}
userInput = hint;
} else {
failIfMissing("message", 'bl advisor recommend "你的需求"');
failIfMissing("message", 'bl advisor recommend "your requirement"');
}
}

const top = 3;
const format = detectOutputFormat(config.output);

const modelsOptions: GetModelsOptions = {
onPrepareStart: () => process.stderr.write("初始化中...\n"),
onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
};
process.stderr.write("正在分析需求...\n");
process.stderr.write("Analyzing your request...\n");
const [allModels, intent] = await Promise.all([
getModels(config, modelsOptions),
analyzeIntent(config, userInput),
]);

if (intent.confidence === 0) {
process.stderr.write("需求分析超时，使用默认参数继续...\n");
process.stderr.write("Intent analysis timed out, using defaults...\n");
} else {
process.stderr.write("\n");
}
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
}

// Stage 3: LLM Ranking
const spinner = createSpinner("正在推荐最佳模型...");
const spinner = createSpinner("Recommending best models...");
spinner.start();

const result = await rankModels(config, candidates, intent, userInput, top);

spinner.stop();

if (isEmptyResult(result)) {
emitBare("暂无满足该需求的模型。");
emitBare("No suitable models found for this request.");
return;
}

if (format !== "text") {
emitResult(result, format);
emitResult(
{
intent: {
taskSummary: intent.taskSummary,
scenarioHints: intent.scenarioHints,
complexity: intent.complexity,
inputModality: intent.inputModality,
outputModality: intent.outputModality,
requiredCapabilities: intent.requiredCapabilities,
budget: intent.budget,
qualityPreference: intent.qualityPreference,
modelPreference:
intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
segments: intent.segments,
},
result,
candidates: candidates.length,
},
format,
);
return;
}

Expand Down
15 changes: 10 additions & 5 deletions packages/cli/src/commands/quota/history.ts
View file
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Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
throw err;
}

if (format === "json") {
emitResult(result, format);
return;
}

const resp = extractResponseData(result as Record<string, unknown>);
let records = (resp.records as LimitApplicationItem[]) ?? [];
const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
records = records.filter((r) => r.deployedModel === modelFilter);
}

if (format === "json") {
const items = records.map((r) => ({
model: r.deployedModel,
tokenLimit: r.usageLimit,
appliedAt: formatDateTime(r.gmtCreate),
}));
emitResult({ records: items, total: modelFilter ? records.length : total }, format);
return;
}

if (records.length === 0) {
process.stdout.write("No quota change history found.\n");
return;
Expand Down
20 changes: 19 additions & 1 deletion packages/cli/src/commands/quota/list.ts
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Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
}

if (format === "json") {
emitResult(models, format);
const items = models.map((m) => {
const qpm = m.qpmInfo;
const modelDefault = qpm?.["model-default"];
const userSpec = qpm?.["user-spec"];

const defaultRPM = calculateRPM(modelDefault);
const defaultTPM = calculateTPM(modelDefault);
const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
const maxTPM = defaultTPM * 2;

return {
model: m.model,
rpm: currentRPM > 0 ? currentRPM : null,
tpm: currentTPM > 0 ? currentTPM : null,
maxTPM: maxTPM > 0 ? maxTPM : null,
};
});
emitResult(items, format);
return;
}

Expand Down
41 changes: 33 additions & 8 deletions packages/cli/src/commands/usage/free.ts
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Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
}),
]);

if (format === "json") {
emitResult(quotaResult, format);
return;
}

const allQuotas = extractQuotas(quotaResult);
let quotas = modelFlag
? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
}

const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

if (format === "json") {
const items = quotas.map((quota) => {
const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
const stopStatus = stopMap.get(quota.model);
const autoStop =
quota.quotaStatus === "UNKNOWN"
? "unsupported"
: stopStatus === true
? true
: stopStatus === false
? false
: null;
return {
model: quota.model,
type: typeMap.get(quota.model) || null,
remaining: hasQuota ? quota.quotaTotal : null,
total: hasQuota ? quota.quotaInitTotal : null,
usagePercent:
hasQuota && quota.quotaInitTotal > 0
? Math.round((used / quota.quotaInitTotal) * 1000) / 10
: null,
expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
autoStop,
};
});
emitResult(items, format);
return;
}

if (quotas.length === 0) {
process.stdout.write("No free-tier quota found.\n");
return;
}

const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

printTable(quotas, stopMap, typeMap, config.noColor);
},
});
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
feat: change output & table name into English by gujieye · Pull Request #59 · modelstudioai/cli · GitHub
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 Merged

gujieye
merged 10 commits into

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Jun 17, 2026
 Merged


feat: change output & table name into English
#59
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3f29f93

feat: replace model


gujieye Jun 15, 2026
14fc293

feat: opt json output & reduce Chinese table name


gujieye Jun 16, 2026
c54f6a6

feat: model recommend use english prompt & output


gujieye Jun 16, 2026
93cecc3

feat: model recommend use english output


gujieye Jun 16, 2026
f816d5c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 16, 2026
b01d35c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
8cb24b7

feat: merge main


gujieye Jun 17, 2026
cbeb2bf

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
edb3465

feat: temp save


gujieye Jun 17, 2026
7593baf

Merge branch 'feat/update-intent-model' of https://github.com/modelst…


gujieye Jun 17, 2026

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438 changes: 438 additions & 0 deletions
docs/plans/finetune-deploy-mvp.md

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113 changes: 66 additions & 47 deletions
packages/cli/src/commands/advisor/recommend.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
 Text: "文本",
 Image: "图片",
 Video: "视频",
 Audio: "音频",
 Text: "Text",
 Image: "Image",
 Video: "Video",
 Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
 TG: "文本生成",
 VU: "视觉理解",
 IG: "图像生成",
 VG: "视频生成",
 TTS: "语音合成",
 ASR: "语音识别",
 Reasoning: "推理",
 TG: "Text Gen",
 VU: "Vision",
 IG: "Image Gen",
 VG: "Video Gen",
 TTS: "Text-to-Speech",
 ASR: "Speech-to-Text",
 Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
 low: "低成本优先",
 medium: "适中",
 high: "高投入",
 low: "Cost-Effective",
 medium: "Balanced",
 high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
 flagship: "旗舰优先",
 balanced: "均衡",
 "cost-optimized": "性价比优先",
 flagship: "Flagship",
 balanced: "Balanced",
 "cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
 scoped: "限定范围",
 comparison: "对比评估",
 alternative: "替代推荐",
 scoped: "Scoped",
 comparison: "Comparison",
 alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

 const lines: string[] = [];
 lines.push(colorize.cyan.bold("需求理解"));
 lines.push(colorize.cyan.bold("Intent Analysis"));

 if (intent.taskSummary) {
 lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

 if (intent.scenarioHints.length) {
 lines.push("");
 lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
 lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
 }

 const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 if (inputLabels.length || outputLabels.length) {
 lines.push("");
 const parts: string[] = [];
 if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
 if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
 lines.push(parts.join(" "));
 }

 const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
 if (capLabels.length) {
 lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
 lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
 }

 const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
 const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
 lines.push("");
 lines.push(
 `${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
 `${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
 );

 const preference = intent.modelPreference;
 if (preference && preference.mode !== "unconstrained") {
 lines.push("");
 const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
 const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
 const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
 if (preference.targets?.length) {
 prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
 prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
 }
 if (preference.excludes?.length) {
 prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
 prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
 }
 lines.push(prefParts.join(" "));
 }

 if (intent.segments?.length) {
 lines.push("");
 lines.push(colorize.dim("任务拆解"));
 lines.push(colorize.dim("Pipeline"));
 for (const [idx, segment] of intent.segments.entries()) {
 const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
 lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 });
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
 const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
 const colorFn = labelColors[index] ?? colorize.white.bold;
 const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
 const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

 const lines: string[] = [];
 lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
 lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
 lines.push("");
 lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
 lines.push("");
 lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
 lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

 if (rec.highlights.length) {
 lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 }

 const meta: string[] = [];
 if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
 if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
 if (meta.length) {
 lines.push("");
 lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 const docLink = buildDocLink(rec.docUrl);
 if (docLink) {
 lines.push("");
 lines.push(colorize.dim(`文档 ${docLink}`));
 lines.push(colorize.dim(`Docs ${docLink}`));
 }

 return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
 const lines: string[] = [];
 lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
 lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

 for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
 lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

 if (!userInput.trim()) {
 if (isInteractive({ nonInteractive: config.nonInteractive })) {
 const hint = await promptText({ message: "描述你的需求:" });
 const hint = await promptText({ message: "Describe your requirement:" });
 if (!hint) {
 process.stderr.write("已取消。\n");
 process.stderr.write("Cancelled.\n");
 process.exit(1);
 }
 userInput = hint;
 } else {
 failIfMissing("message", 'bl advisor recommend "你的需求"');
 failIfMissing("message", 'bl advisor recommend "your requirement"');
 }
 }

 const top = 3;
 const format = detectOutputFormat(config.output);

 const modelsOptions: GetModelsOptions = {
 onPrepareStart: () => process.stderr.write("初始化中...\n"),
 onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
 };
 process.stderr.write("正在分析需求...\n");
 process.stderr.write("Analyzing your request...\n");
 const [allModels, intent] = await Promise.all([
 getModels(config, modelsOptions),
 analyzeIntent(config, userInput),
 ]);

 if (intent.confidence === 0) {
 process.stderr.write("需求分析超时，使用默认参数继续...\n");
 process.stderr.write("Intent analysis timed out, using defaults...\n");
 } else {
 process.stderr.write("\n");
 }
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
 }

 // Stage 3: LLM Ranking
 const spinner = createSpinner("正在推荐最佳模型...");
 const spinner = createSpinner("Recommending best models...");
 spinner.start();

 const result = await rankModels(config, candidates, intent, userInput, top);

 spinner.stop();

 if (isEmptyResult(result)) {
 emitBare("暂无满足该需求的模型。");
 emitBare("No suitable models found for this request.");
 return;
 }

 if (format !== "text") {
 emitResult(result, format);
 emitResult(
 {
 intent: {
 taskSummary: intent.taskSummary,
 scenarioHints: intent.scenarioHints,
 complexity: intent.complexity,
 inputModality: intent.inputModality,
 outputModality: intent.outputModality,
 requiredCapabilities: intent.requiredCapabilities,
 budget: intent.budget,
 qualityPreference: intent.qualityPreference,
 modelPreference:
 intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
 segments: intent.segments,
 },
 result,
 candidates: candidates.length,
 },
 format,
 );
 return;
 }

Expand Down

15 changes: 10 additions & 5 deletions
packages/cli/src/commands/quota/history.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
 throw err;
 }

 if (format === "json") {
 emitResult(result, format);
 return;
 }

 const resp = extractResponseData(result as Record<string, unknown>);
 let records = (resp.records as LimitApplicationItem[]) ?? [];
 const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
 records = records.filter((r) => r.deployedModel === modelFilter);
 }

 if (format === "json") {
 const items = records.map((r) => ({
 model: r.deployedModel,
 tokenLimit: r.usageLimit,
 appliedAt: formatDateTime(r.gmtCreate),
 }));
 emitResult({ records: items, total: modelFilter ? records.length : total }, format);
 return;
 }

 if (records.length === 0) {
 process.stdout.write("No quota change history found.\n");
 return;
Expand Down

20 changes: 19 additions & 1 deletion
packages/cli/src/commands/quota/list.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
 }

 if (format === "json") {
 emitResult(models, format);
 const items = models.map((m) => {
 const qpm = m.qpmInfo;
 const modelDefault = qpm?.["model-default"];
 const userSpec = qpm?.["user-spec"];

 const defaultRPM = calculateRPM(modelDefault);
 const defaultTPM = calculateTPM(modelDefault);
 const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
 const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
 const maxTPM = defaultTPM * 2;

 return {
 model: m.model,
 rpm: currentRPM > 0 ? currentRPM : null,
 tpm: currentTPM > 0 ? currentTPM : null,
 maxTPM: maxTPM > 0 ? maxTPM : null,
 };
 });
 emitResult(items, format);
 return;
 }

Expand Down

41 changes: 33 additions & 8 deletions
packages/cli/src/commands/usage/free.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
 }),
 ]);

 if (format === "json") {
 emitResult(quotaResult, format);
 return;
 }

 const allQuotas = extractQuotas(quotaResult);
 let quotas = modelFlag
 ? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
 quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 if (format === "json") {
 const items = quotas.map((quota) => {
 const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
 const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
 const stopStatus = stopMap.get(quota.model);
 const autoStop =
 quota.quotaStatus === "UNKNOWN"
 ? "unsupported"
 : stopStatus === true
 ? true
 : stopStatus === false
 ? false
 : null;
 return {
 model: quota.model,
 type: typeMap.get(quota.model) || null,
 remaining: hasQuota ? quota.quotaTotal : null,
 total: hasQuota ? quota.quotaInitTotal : null,
 usagePercent:
 hasQuota && quota.quotaInitTotal > 0
 ? Math.round((used / quota.quotaInitTotal) * 1000) / 10
 : null,
 expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
 autoStop,
 };
 });
 emitResult(items, format);
 return;
 }

 if (quotas.length === 0) {
 process.stdout.write("No free-tier quota found.\n");
 return;
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 printTable(quotas, stopMap, typeMap, config.noColor);
 },
});
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
feat: change output & table name into English by gujieye · Pull Request #59 · modelstudioai/cli · GitHub
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 Merged

gujieye
merged 10 commits into

from

Jun 17, 2026
 Merged


feat: change output & table name into English
#59
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3f29f93

feat: replace model


gujieye Jun 15, 2026
14fc293

feat: opt json output & reduce Chinese table name


gujieye Jun 16, 2026
c54f6a6

feat: model recommend use english prompt & output


gujieye Jun 16, 2026
93cecc3

feat: model recommend use english output


gujieye Jun 16, 2026
f816d5c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 16, 2026
b01d35c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
8cb24b7

feat: merge main


gujieye Jun 17, 2026
cbeb2bf

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
edb3465

feat: temp save


gujieye Jun 17, 2026
7593baf

Merge branch 'feat/update-intent-model' of https://github.com/modelst…


gujieye Jun 17, 2026

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438 changes: 438 additions & 0 deletions
docs/plans/finetune-deploy-mvp.md

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113 changes: 66 additions & 47 deletions
packages/cli/src/commands/advisor/recommend.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
 Text: "文本",
 Image: "图片",
 Video: "视频",
 Audio: "音频",
 Text: "Text",
 Image: "Image",
 Video: "Video",
 Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
 TG: "文本生成",
 VU: "视觉理解",
 IG: "图像生成",
 VG: "视频生成",
 TTS: "语音合成",
 ASR: "语音识别",
 Reasoning: "推理",
 TG: "Text Gen",
 VU: "Vision",
 IG: "Image Gen",
 VG: "Video Gen",
 TTS: "Text-to-Speech",
 ASR: "Speech-to-Text",
 Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
 low: "低成本优先",
 medium: "适中",
 high: "高投入",
 low: "Cost-Effective",
 medium: "Balanced",
 high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
 flagship: "旗舰优先",
 balanced: "均衡",
 "cost-optimized": "性价比优先",
 flagship: "Flagship",
 balanced: "Balanced",
 "cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
 scoped: "限定范围",
 comparison: "对比评估",
 alternative: "替代推荐",
 scoped: "Scoped",
 comparison: "Comparison",
 alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

 const lines: string[] = [];
 lines.push(colorize.cyan.bold("需求理解"));
 lines.push(colorize.cyan.bold("Intent Analysis"));

 if (intent.taskSummary) {
 lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

 if (intent.scenarioHints.length) {
 lines.push("");
 lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
 lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
 }

 const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 if (inputLabels.length || outputLabels.length) {
 lines.push("");
 const parts: string[] = [];
 if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
 if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
 lines.push(parts.join(" "));
 }

 const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
 if (capLabels.length) {
 lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
 lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
 }

 const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
 const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
 lines.push("");
 lines.push(
 `${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
 `${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
 );

 const preference = intent.modelPreference;
 if (preference && preference.mode !== "unconstrained") {
 lines.push("");
 const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
 const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
 const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
 if (preference.targets?.length) {
 prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
 prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
 }
 if (preference.excludes?.length) {
 prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
 prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
 }
 lines.push(prefParts.join(" "));
 }

 if (intent.segments?.length) {
 lines.push("");
 lines.push(colorize.dim("任务拆解"));
 lines.push(colorize.dim("Pipeline"));
 for (const [idx, segment] of intent.segments.entries()) {
 const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
 lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 });
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
 const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
 const colorFn = labelColors[index] ?? colorize.white.bold;
 const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
 const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

 const lines: string[] = [];
 lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
 lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
 lines.push("");
 lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
 lines.push("");
 lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
 lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

 if (rec.highlights.length) {
 lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 }

 const meta: string[] = [];
 if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
 if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
 if (meta.length) {
 lines.push("");
 lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 const docLink = buildDocLink(rec.docUrl);
 if (docLink) {
 lines.push("");
 lines.push(colorize.dim(`文档 ${docLink}`));
 lines.push(colorize.dim(`Docs ${docLink}`));
 }

 return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
 const lines: string[] = [];
 lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
 lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

 for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
 lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

 if (!userInput.trim()) {
 if (isInteractive({ nonInteractive: config.nonInteractive })) {
 const hint = await promptText({ message: "描述你的需求:" });
 const hint = await promptText({ message: "Describe your requirement:" });
 if (!hint) {
 process.stderr.write("已取消。\n");
 process.stderr.write("Cancelled.\n");
 process.exit(1);
 }
 userInput = hint;
 } else {
 failIfMissing("message", 'bl advisor recommend "你的需求"');
 failIfMissing("message", 'bl advisor recommend "your requirement"');
 }
 }

 const top = 3;
 const format = detectOutputFormat(config.output);

 const modelsOptions: GetModelsOptions = {
 onPrepareStart: () => process.stderr.write("初始化中...\n"),
 onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
 };
 process.stderr.write("正在分析需求...\n");
 process.stderr.write("Analyzing your request...\n");
 const [allModels, intent] = await Promise.all([
 getModels(config, modelsOptions),
 analyzeIntent(config, userInput),
 ]);

 if (intent.confidence === 0) {
 process.stderr.write("需求分析超时，使用默认参数继续...\n");
 process.stderr.write("Intent analysis timed out, using defaults...\n");
 } else {
 process.stderr.write("\n");
 }
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
 }

 // Stage 3: LLM Ranking
 const spinner = createSpinner("正在推荐最佳模型...");
 const spinner = createSpinner("Recommending best models...");
 spinner.start();

 const result = await rankModels(config, candidates, intent, userInput, top);

 spinner.stop();

 if (isEmptyResult(result)) {
 emitBare("暂无满足该需求的模型。");
 emitBare("No suitable models found for this request.");
 return;
 }

 if (format !== "text") {
 emitResult(result, format);
 emitResult(
 {
 intent: {
 taskSummary: intent.taskSummary,
 scenarioHints: intent.scenarioHints,
 complexity: intent.complexity,
 inputModality: intent.inputModality,
 outputModality: intent.outputModality,
 requiredCapabilities: intent.requiredCapabilities,
 budget: intent.budget,
 qualityPreference: intent.qualityPreference,
 modelPreference:
 intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
 segments: intent.segments,
 },
 result,
 candidates: candidates.length,
 },
 format,
 );
 return;
 }

Expand Down

15 changes: 10 additions & 5 deletions
packages/cli/src/commands/quota/history.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
 throw err;
 }

 if (format === "json") {
 emitResult(result, format);
 return;
 }

 const resp = extractResponseData(result as Record<string, unknown>);
 let records = (resp.records as LimitApplicationItem[]) ?? [];
 const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
 records = records.filter((r) => r.deployedModel === modelFilter);
 }

 if (format === "json") {
 const items = records.map((r) => ({
 model: r.deployedModel,
 tokenLimit: r.usageLimit,
 appliedAt: formatDateTime(r.gmtCreate),
 }));
 emitResult({ records: items, total: modelFilter ? records.length : total }, format);
 return;
 }

 if (records.length === 0) {
 process.stdout.write("No quota change history found.\n");
 return;
Expand Down

20 changes: 19 additions & 1 deletion
packages/cli/src/commands/quota/list.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
 }

 if (format === "json") {
 emitResult(models, format);
 const items = models.map((m) => {
 const qpm = m.qpmInfo;
 const modelDefault = qpm?.["model-default"];
 const userSpec = qpm?.["user-spec"];

 const defaultRPM = calculateRPM(modelDefault);
 const defaultTPM = calculateTPM(modelDefault);
 const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
 const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
 const maxTPM = defaultTPM * 2;

 return {
 model: m.model,
 rpm: currentRPM > 0 ? currentRPM : null,
 tpm: currentTPM > 0 ? currentTPM : null,
 maxTPM: maxTPM > 0 ? maxTPM : null,
 };
 });
 emitResult(items, format);
 return;
 }

Expand Down

41 changes: 33 additions & 8 deletions
packages/cli/src/commands/usage/free.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
 }),
 ]);

 if (format === "json") {
 emitResult(quotaResult, format);
 return;
 }

 const allQuotas = extractQuotas(quotaResult);
 let quotas = modelFlag
 ? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
 quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 if (format === "json") {
 const items = quotas.map((quota) => {
 const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
 const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
 const stopStatus = stopMap.get(quota.model);
 const autoStop =
 quota.quotaStatus === "UNKNOWN"
 ? "unsupported"
 : stopStatus === true
 ? true
 : stopStatus === false
 ? false
 : null;
 return {
 model: quota.model,
 type: typeMap.get(quota.model) || null,
 remaining: hasQuota ? quota.quotaTotal : null,
 total: hasQuota ? quota.quotaInitTotal : null,
 usagePercent:
 hasQuota && quota.quotaInitTotal > 0
 ? Math.round((used / quota.quotaInitTotal) * 1000) / 10
 : null,
 expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
 autoStop,
 };
 });
 emitResult(items, format);
 return;
 }

 if (quotas.length === 0) {
 process.stdout.write("No free-tier quota found.\n");
 return;
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 printTable(quotas, stopMap, typeMap, config.noColor);
 },
});
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
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var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
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mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
feat: change output & table name into English by gujieye · Pull Request #59 · modelstudioai/cli · GitHub
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feat: change output & table name into English#59

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gujieye
merged 10 commits into

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Jun 17, 2026
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feat: change output & table name into English
#59
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3f29f93

feat: replace model


gujieye Jun 15, 2026
14fc293

feat: opt json output & reduce Chinese table name


gujieye Jun 16, 2026
c54f6a6

feat: model recommend use english prompt & output


gujieye Jun 16, 2026
93cecc3

feat: model recommend use english output


gujieye Jun 16, 2026
f816d5c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 16, 2026
b01d35c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
8cb24b7

feat: merge main


gujieye Jun 17, 2026
cbeb2bf

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
edb3465

feat: temp save


gujieye Jun 17, 2026
7593baf

Merge branch 'feat/update-intent-model' of https://github.com/modelst…


gujieye Jun 17, 2026

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docs/plans/finetune-deploy-mvp.md

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113 changes: 66 additions & 47 deletions
packages/cli/src/commands/advisor/recommend.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
 Text: "文本",
 Image: "图片",
 Video: "视频",
 Audio: "音频",
 Text: "Text",
 Image: "Image",
 Video: "Video",
 Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
 TG: "文本生成",
 VU: "视觉理解",
 IG: "图像生成",
 VG: "视频生成",
 TTS: "语音合成",
 ASR: "语音识别",
 Reasoning: "推理",
 TG: "Text Gen",
 VU: "Vision",
 IG: "Image Gen",
 VG: "Video Gen",
 TTS: "Text-to-Speech",
 ASR: "Speech-to-Text",
 Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
 low: "低成本优先",
 medium: "适中",
 high: "高投入",
 low: "Cost-Effective",
 medium: "Balanced",
 high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
 flagship: "旗舰优先",
 balanced: "均衡",
 "cost-optimized": "性价比优先",
 flagship: "Flagship",
 balanced: "Balanced",
 "cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
 scoped: "限定范围",
 comparison: "对比评估",
 alternative: "替代推荐",
 scoped: "Scoped",
 comparison: "Comparison",
 alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

 const lines: string[] = [];
 lines.push(colorize.cyan.bold("需求理解"));
 lines.push(colorize.cyan.bold("Intent Analysis"));

 if (intent.taskSummary) {
 lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

 if (intent.scenarioHints.length) {
 lines.push("");
 lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
 lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
 }

 const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 if (inputLabels.length || outputLabels.length) {
 lines.push("");
 const parts: string[] = [];
 if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
 if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
 lines.push(parts.join(" "));
 }

 const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
 if (capLabels.length) {
 lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
 lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
 }

 const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
 const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
 lines.push("");
 lines.push(
 `${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
 `${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
 );

 const preference = intent.modelPreference;
 if (preference && preference.mode !== "unconstrained") {
 lines.push("");
 const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
 const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
 const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
 if (preference.targets?.length) {
 prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
 prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
 }
 if (preference.excludes?.length) {
 prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
 prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
 }
 lines.push(prefParts.join(" "));
 }

 if (intent.segments?.length) {
 lines.push("");
 lines.push(colorize.dim("任务拆解"));
 lines.push(colorize.dim("Pipeline"));
 for (const [idx, segment] of intent.segments.entries()) {
 const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
 lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 });
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
 const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
 const colorFn = labelColors[index] ?? colorize.white.bold;
 const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
 const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

 const lines: string[] = [];
 lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
 lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
 lines.push("");
 lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
 lines.push("");
 lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
 lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

 if (rec.highlights.length) {
 lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 }

 const meta: string[] = [];
 if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
 if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
 if (meta.length) {
 lines.push("");
 lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 const docLink = buildDocLink(rec.docUrl);
 if (docLink) {
 lines.push("");
 lines.push(colorize.dim(`文档 ${docLink}`));
 lines.push(colorize.dim(`Docs ${docLink}`));
 }

 return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
 const lines: string[] = [];
 lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
 lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

 for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
 lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

 if (!userInput.trim()) {
 if (isInteractive({ nonInteractive: config.nonInteractive })) {
 const hint = await promptText({ message: "描述你的需求:" });
 const hint = await promptText({ message: "Describe your requirement:" });
 if (!hint) {
 process.stderr.write("已取消。\n");
 process.stderr.write("Cancelled.\n");
 process.exit(1);
 }
 userInput = hint;
 } else {
 failIfMissing("message", 'bl advisor recommend "你的需求"');
 failIfMissing("message", 'bl advisor recommend "your requirement"');
 }
 }

 const top = 3;
 const format = detectOutputFormat(config.output);

 const modelsOptions: GetModelsOptions = {
 onPrepareStart: () => process.stderr.write("初始化中...\n"),
 onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
 };
 process.stderr.write("正在分析需求...\n");
 process.stderr.write("Analyzing your request...\n");
 const [allModels, intent] = await Promise.all([
 getModels(config, modelsOptions),
 analyzeIntent(config, userInput),
 ]);

 if (intent.confidence === 0) {
 process.stderr.write("需求分析超时，使用默认参数继续...\n");
 process.stderr.write("Intent analysis timed out, using defaults...\n");
 } else {
 process.stderr.write("\n");
 }
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
 }

 // Stage 3: LLM Ranking
 const spinner = createSpinner("正在推荐最佳模型...");
 const spinner = createSpinner("Recommending best models...");
 spinner.start();

 const result = await rankModels(config, candidates, intent, userInput, top);

 spinner.stop();

 if (isEmptyResult(result)) {
 emitBare("暂无满足该需求的模型。");
 emitBare("No suitable models found for this request.");
 return;
 }

 if (format !== "text") {
 emitResult(result, format);
 emitResult(
 {
 intent: {
 taskSummary: intent.taskSummary,
 scenarioHints: intent.scenarioHints,
 complexity: intent.complexity,
 inputModality: intent.inputModality,
 outputModality: intent.outputModality,
 requiredCapabilities: intent.requiredCapabilities,
 budget: intent.budget,
 qualityPreference: intent.qualityPreference,
 modelPreference:
 intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
 segments: intent.segments,
 },
 result,
 candidates: candidates.length,
 },
 format,
 );
 return;
 }

Expand Down

15 changes: 10 additions & 5 deletions
packages/cli/src/commands/quota/history.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
 throw err;
 }

 if (format === "json") {
 emitResult(result, format);
 return;
 }

 const resp = extractResponseData(result as Record<string, unknown>);
 let records = (resp.records as LimitApplicationItem[]) ?? [];
 const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
 records = records.filter((r) => r.deployedModel === modelFilter);
 }

 if (format === "json") {
 const items = records.map((r) => ({
 model: r.deployedModel,
 tokenLimit: r.usageLimit,
 appliedAt: formatDateTime(r.gmtCreate),
 }));
 emitResult({ records: items, total: modelFilter ? records.length : total }, format);
 return;
 }

 if (records.length === 0) {
 process.stdout.write("No quota change history found.\n");
 return;
Expand Down

20 changes: 19 additions & 1 deletion
packages/cli/src/commands/quota/list.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
 }

 if (format === "json") {
 emitResult(models, format);
 const items = models.map((m) => {
 const qpm = m.qpmInfo;
 const modelDefault = qpm?.["model-default"];
 const userSpec = qpm?.["user-spec"];

 const defaultRPM = calculateRPM(modelDefault);
 const defaultTPM = calculateTPM(modelDefault);
 const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
 const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
 const maxTPM = defaultTPM * 2;

 return {
 model: m.model,
 rpm: currentRPM > 0 ? currentRPM : null,
 tpm: currentTPM > 0 ? currentTPM : null,
 maxTPM: maxTPM > 0 ? maxTPM : null,
 };
 });
 emitResult(items, format);
 return;
 }

Expand Down

41 changes: 33 additions & 8 deletions
packages/cli/src/commands/usage/free.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
 }),
 ]);

 if (format === "json") {
 emitResult(quotaResult, format);
 return;
 }

 const allQuotas = extractQuotas(quotaResult);
 let quotas = modelFlag
 ? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
 quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 if (format === "json") {
 const items = quotas.map((quota) => {
 const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
 const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
 const stopStatus = stopMap.get(quota.model);
 const autoStop =
 quota.quotaStatus === "UNKNOWN"
 ? "unsupported"
 : stopStatus === true
 ? true
 : stopStatus === false
 ? false
 : null;
 return {
 model: quota.model,
 type: typeMap.get(quota.model) || null,
 remaining: hasQuota ? quota.quotaTotal : null,
 total: hasQuota ? quota.quotaInitTotal : null,
 usagePercent:
 hasQuota && quota.quotaInitTotal > 0
 ? Math.round((used / quota.quotaInitTotal) * 1000) / 10
 : null,
 expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
 autoStop,
 };
 });
 emitResult(items, format);
 return;
 }

 if (quotas.length === 0) {
 process.stdout.write("No free-tier quota found.\n");
 return;
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 printTable(quotas, stopMap, typeMap, config.noColor);
 },
});
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
feat: change output & table name into English by gujieye · Pull Request #59 · modelstudioai/cli · GitHub
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feat: change output & table name into English#59

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 Merged

gujieye
merged 10 commits into

from

Jun 17, 2026
 Merged


feat: change output & table name into English
#59
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3f29f93

feat: replace model


gujieye Jun 15, 2026
14fc293

feat: opt json output & reduce Chinese table name


gujieye Jun 16, 2026
c54f6a6

feat: model recommend use english prompt & output


gujieye Jun 16, 2026
93cecc3

feat: model recommend use english output


gujieye Jun 16, 2026
f816d5c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 16, 2026
b01d35c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
8cb24b7

feat: merge main


gujieye Jun 17, 2026
cbeb2bf

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
edb3465

feat: temp save


gujieye Jun 17, 2026
7593baf

Merge branch 'feat/update-intent-model' of https://github.com/modelst…


gujieye Jun 17, 2026

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113 changes: 66 additions & 47 deletions
packages/cli/src/commands/advisor/recommend.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
 Text: "文本",
 Image: "图片",
 Video: "视频",
 Audio: "音频",
 Text: "Text",
 Image: "Image",
 Video: "Video",
 Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
 TG: "文本生成",
 VU: "视觉理解",
 IG: "图像生成",
 VG: "视频生成",
 TTS: "语音合成",
 ASR: "语音识别",
 Reasoning: "推理",
 TG: "Text Gen",
 VU: "Vision",
 IG: "Image Gen",
 VG: "Video Gen",
 TTS: "Text-to-Speech",
 ASR: "Speech-to-Text",
 Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
 low: "低成本优先",
 medium: "适中",
 high: "高投入",
 low: "Cost-Effective",
 medium: "Balanced",
 high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
 flagship: "旗舰优先",
 balanced: "均衡",
 "cost-optimized": "性价比优先",
 flagship: "Flagship",
 balanced: "Balanced",
 "cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
 scoped: "限定范围",
 comparison: "对比评估",
 alternative: "替代推荐",
 scoped: "Scoped",
 comparison: "Comparison",
 alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

 const lines: string[] = [];
 lines.push(colorize.cyan.bold("需求理解"));
 lines.push(colorize.cyan.bold("Intent Analysis"));

 if (intent.taskSummary) {
 lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

 if (intent.scenarioHints.length) {
 lines.push("");
 lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
 lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
 }

 const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 if (inputLabels.length || outputLabels.length) {
 lines.push("");
 const parts: string[] = [];
 if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
 if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
 lines.push(parts.join(" "));
 }

 const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
 if (capLabels.length) {
 lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
 lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
 }

 const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
 const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
 lines.push("");
 lines.push(
 `${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
 `${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
 );

 const preference = intent.modelPreference;
 if (preference && preference.mode !== "unconstrained") {
 lines.push("");
 const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
 const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
 const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
 if (preference.targets?.length) {
 prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
 prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
 }
 if (preference.excludes?.length) {
 prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
 prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
 }
 lines.push(prefParts.join(" "));
 }

 if (intent.segments?.length) {
 lines.push("");
 lines.push(colorize.dim("任务拆解"));
 lines.push(colorize.dim("Pipeline"));
 for (const [idx, segment] of intent.segments.entries()) {
 const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
 lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 });
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
 const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
 const colorFn = labelColors[index] ?? colorize.white.bold;
 const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
 const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

 const lines: string[] = [];
 lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
 lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
 lines.push("");
 lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
 lines.push("");
 lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
 lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

 if (rec.highlights.length) {
 lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 }

 const meta: string[] = [];
 if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
 if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
 if (meta.length) {
 lines.push("");
 lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 const docLink = buildDocLink(rec.docUrl);
 if (docLink) {
 lines.push("");
 lines.push(colorize.dim(`文档 ${docLink}`));
 lines.push(colorize.dim(`Docs ${docLink}`));
 }

 return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
 const lines: string[] = [];
 lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
 lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

 for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
 lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

 if (!userInput.trim()) {
 if (isInteractive({ nonInteractive: config.nonInteractive })) {
 const hint = await promptText({ message: "描述你的需求:" });
 const hint = await promptText({ message: "Describe your requirement:" });
 if (!hint) {
 process.stderr.write("已取消。\n");
 process.stderr.write("Cancelled.\n");
 process.exit(1);
 }
 userInput = hint;
 } else {
 failIfMissing("message", 'bl advisor recommend "你的需求"');
 failIfMissing("message", 'bl advisor recommend "your requirement"');
 }
 }

 const top = 3;
 const format = detectOutputFormat(config.output);

 const modelsOptions: GetModelsOptions = {
 onPrepareStart: () => process.stderr.write("初始化中...\n"),
 onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
 };
 process.stderr.write("正在分析需求...\n");
 process.stderr.write("Analyzing your request...\n");
 const [allModels, intent] = await Promise.all([
 getModels(config, modelsOptions),
 analyzeIntent(config, userInput),
 ]);

 if (intent.confidence === 0) {
 process.stderr.write("需求分析超时，使用默认参数继续...\n");
 process.stderr.write("Intent analysis timed out, using defaults...\n");
 } else {
 process.stderr.write("\n");
 }
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
 }

 // Stage 3: LLM Ranking
 const spinner = createSpinner("正在推荐最佳模型...");
 const spinner = createSpinner("Recommending best models...");
 spinner.start();

 const result = await rankModels(config, candidates, intent, userInput, top);

 spinner.stop();

 if (isEmptyResult(result)) {
 emitBare("暂无满足该需求的模型。");
 emitBare("No suitable models found for this request.");
 return;
 }

 if (format !== "text") {
 emitResult(result, format);
 emitResult(
 {
 intent: {
 taskSummary: intent.taskSummary,
 scenarioHints: intent.scenarioHints,
 complexity: intent.complexity,
 inputModality: intent.inputModality,
 outputModality: intent.outputModality,
 requiredCapabilities: intent.requiredCapabilities,
 budget: intent.budget,
 qualityPreference: intent.qualityPreference,
 modelPreference:
 intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
 segments: intent.segments,
 },
 result,
 candidates: candidates.length,
 },
 format,
 );
 return;
 }

Expand Down

15 changes: 10 additions & 5 deletions
packages/cli/src/commands/quota/history.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
 throw err;
 }

 if (format === "json") {
 emitResult(result, format);
 return;
 }

 const resp = extractResponseData(result as Record<string, unknown>);
 let records = (resp.records as LimitApplicationItem[]) ?? [];
 const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
 records = records.filter((r) => r.deployedModel === modelFilter);
 }

 if (format === "json") {
 const items = records.map((r) => ({
 model: r.deployedModel,
 tokenLimit: r.usageLimit,
 appliedAt: formatDateTime(r.gmtCreate),
 }));
 emitResult({ records: items, total: modelFilter ? records.length : total }, format);
 return;
 }

 if (records.length === 0) {
 process.stdout.write("No quota change history found.\n");
 return;
Expand Down

20 changes: 19 additions & 1 deletion
packages/cli/src/commands/quota/list.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
 }

 if (format === "json") {
 emitResult(models, format);
 const items = models.map((m) => {
 const qpm = m.qpmInfo;
 const modelDefault = qpm?.["model-default"];
 const userSpec = qpm?.["user-spec"];

 const defaultRPM = calculateRPM(modelDefault);
 const defaultTPM = calculateTPM(modelDefault);
 const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
 const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
 const maxTPM = defaultTPM * 2;

 return {
 model: m.model,
 rpm: currentRPM > 0 ? currentRPM : null,
 tpm: currentTPM > 0 ? currentTPM : null,
 maxTPM: maxTPM > 0 ? maxTPM : null,
 };
 });
 emitResult(items, format);
 return;
 }

Expand Down

41 changes: 33 additions & 8 deletions
packages/cli/src/commands/usage/free.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
 }),
 ]);

 if (format === "json") {
 emitResult(quotaResult, format);
 return;
 }

 const allQuotas = extractQuotas(quotaResult);
 let quotas = modelFlag
 ? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
 quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 if (format === "json") {
 const items = quotas.map((quota) => {
 const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
 const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
 const stopStatus = stopMap.get(quota.model);
 const autoStop =
 quota.quotaStatus === "UNKNOWN"
 ? "unsupported"
 : stopStatus === true
 ? true
 : stopStatus === false
 ? false
 : null;
 return {
 model: quota.model,
 type: typeMap.get(quota.model) || null,
 remaining: hasQuota ? quota.quotaTotal : null,
 total: hasQuota ? quota.quotaInitTotal : null,
 usagePercent:
 hasQuota && quota.quotaInitTotal > 0
 ? Math.round((used / quota.quotaInitTotal) * 1000) / 10
 : null,
 expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
 autoStop,
 };
 });
 emitResult(items, format);
 return;
 }

 if (quotas.length === 0) {
 process.stdout.write("No free-tier quota found.\n");
 return;
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 printTable(quotas, stopMap, typeMap, config.noColor);
 },
});
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
feat: change output & table name into English by gujieye · Pull Request #59 · modelstudioai/cli · GitHub
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 Merged

gujieye
merged 10 commits into

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Jun 17, 2026
 Merged


feat: change output & table name into English
#59
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3f29f93

feat: replace model


gujieye Jun 15, 2026
14fc293

feat: opt json output & reduce Chinese table name


gujieye Jun 16, 2026
c54f6a6

feat: model recommend use english prompt & output


gujieye Jun 16, 2026
93cecc3

feat: model recommend use english output


gujieye Jun 16, 2026
f816d5c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 16, 2026
b01d35c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
8cb24b7

feat: merge main


gujieye Jun 17, 2026
cbeb2bf

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
edb3465

feat: temp save


gujieye Jun 17, 2026
7593baf

Merge branch 'feat/update-intent-model' of https://github.com/modelst…


gujieye Jun 17, 2026

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438 changes: 438 additions & 0 deletions
docs/plans/finetune-deploy-mvp.md

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113 changes: 66 additions & 47 deletions
packages/cli/src/commands/advisor/recommend.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
 Text: "文本",
 Image: "图片",
 Video: "视频",
 Audio: "音频",
 Text: "Text",
 Image: "Image",
 Video: "Video",
 Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
 TG: "文本生成",
 VU: "视觉理解",
 IG: "图像生成",
 VG: "视频生成",
 TTS: "语音合成",
 ASR: "语音识别",
 Reasoning: "推理",
 TG: "Text Gen",
 VU: "Vision",
 IG: "Image Gen",
 VG: "Video Gen",
 TTS: "Text-to-Speech",
 ASR: "Speech-to-Text",
 Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
 low: "低成本优先",
 medium: "适中",
 high: "高投入",
 low: "Cost-Effective",
 medium: "Balanced",
 high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
 flagship: "旗舰优先",
 balanced: "均衡",
 "cost-optimized": "性价比优先",
 flagship: "Flagship",
 balanced: "Balanced",
 "cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
 scoped: "限定范围",
 comparison: "对比评估",
 alternative: "替代推荐",
 scoped: "Scoped",
 comparison: "Comparison",
 alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

 const lines: string[] = [];
 lines.push(colorize.cyan.bold("需求理解"));
 lines.push(colorize.cyan.bold("Intent Analysis"));

 if (intent.taskSummary) {
 lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

 if (intent.scenarioHints.length) {
 lines.push("");
 lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
 lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
 }

 const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 if (inputLabels.length || outputLabels.length) {
 lines.push("");
 const parts: string[] = [];
 if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
 if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
 lines.push(parts.join(" "));
 }

 const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
 if (capLabels.length) {
 lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
 lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
 }

 const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
 const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
 lines.push("");
 lines.push(
 `${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
 `${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
 );

 const preference = intent.modelPreference;
 if (preference && preference.mode !== "unconstrained") {
 lines.push("");
 const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
 const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
 const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
 if (preference.targets?.length) {
 prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
 prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
 }
 if (preference.excludes?.length) {
 prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
 prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
 }
 lines.push(prefParts.join(" "));
 }

 if (intent.segments?.length) {
 lines.push("");
 lines.push(colorize.dim("任务拆解"));
 lines.push(colorize.dim("Pipeline"));
 for (const [idx, segment] of intent.segments.entries()) {
 const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
 lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 });
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
 const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
 const colorFn = labelColors[index] ?? colorize.white.bold;
 const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
 const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

 const lines: string[] = [];
 lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
 lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
 lines.push("");
 lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
 lines.push("");
 lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
 lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

 if (rec.highlights.length) {
 lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 }

 const meta: string[] = [];
 if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
 if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
 if (meta.length) {
 lines.push("");
 lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 const docLink = buildDocLink(rec.docUrl);
 if (docLink) {
 lines.push("");
 lines.push(colorize.dim(`文档 ${docLink}`));
 lines.push(colorize.dim(`Docs ${docLink}`));
 }

 return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
 const lines: string[] = [];
 lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
 lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

 for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
 lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

 if (!userInput.trim()) {
 if (isInteractive({ nonInteractive: config.nonInteractive })) {
 const hint = await promptText({ message: "描述你的需求:" });
 const hint = await promptText({ message: "Describe your requirement:" });
 if (!hint) {
 process.stderr.write("已取消。\n");
 process.stderr.write("Cancelled.\n");
 process.exit(1);
 }
 userInput = hint;
 } else {
 failIfMissing("message", 'bl advisor recommend "你的需求"');
 failIfMissing("message", 'bl advisor recommend "your requirement"');
 }
 }

 const top = 3;
 const format = detectOutputFormat(config.output);

 const modelsOptions: GetModelsOptions = {
 onPrepareStart: () => process.stderr.write("初始化中...\n"),
 onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
 };
 process.stderr.write("正在分析需求...\n");
 process.stderr.write("Analyzing your request...\n");
 const [allModels, intent] = await Promise.all([
 getModels(config, modelsOptions),
 analyzeIntent(config, userInput),
 ]);

 if (intent.confidence === 0) {
 process.stderr.write("需求分析超时，使用默认参数继续...\n");
 process.stderr.write("Intent analysis timed out, using defaults...\n");
 } else {
 process.stderr.write("\n");
 }
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
 }

 // Stage 3: LLM Ranking
 const spinner = createSpinner("正在推荐最佳模型...");
 const spinner = createSpinner("Recommending best models...");
 spinner.start();

 const result = await rankModels(config, candidates, intent, userInput, top);

 spinner.stop();

 if (isEmptyResult(result)) {
 emitBare("暂无满足该需求的模型。");
 emitBare("No suitable models found for this request.");
 return;
 }

 if (format !== "text") {
 emitResult(result, format);
 emitResult(
 {
 intent: {
 taskSummary: intent.taskSummary,
 scenarioHints: intent.scenarioHints,
 complexity: intent.complexity,
 inputModality: intent.inputModality,
 outputModality: intent.outputModality,
 requiredCapabilities: intent.requiredCapabilities,
 budget: intent.budget,
 qualityPreference: intent.qualityPreference,
 modelPreference:
 intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
 segments: intent.segments,
 },
 result,
 candidates: candidates.length,
 },
 format,
 );
 return;
 }

Expand Down

15 changes: 10 additions & 5 deletions
packages/cli/src/commands/quota/history.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
 throw err;
 }

 if (format === "json") {
 emitResult(result, format);
 return;
 }

 const resp = extractResponseData(result as Record<string, unknown>);
 let records = (resp.records as LimitApplicationItem[]) ?? [];
 const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
 records = records.filter((r) => r.deployedModel === modelFilter);
 }

 if (format === "json") {
 const items = records.map((r) => ({
 model: r.deployedModel,
 tokenLimit: r.usageLimit,
 appliedAt: formatDateTime(r.gmtCreate),
 }));
 emitResult({ records: items, total: modelFilter ? records.length : total }, format);
 return;
 }

 if (records.length === 0) {
 process.stdout.write("No quota change history found.\n");
 return;
Expand Down

20 changes: 19 additions & 1 deletion
packages/cli/src/commands/quota/list.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
 }

 if (format === "json") {
 emitResult(models, format);
 const items = models.map((m) => {
 const qpm = m.qpmInfo;
 const modelDefault = qpm?.["model-default"];
 const userSpec = qpm?.["user-spec"];

 const defaultRPM = calculateRPM(modelDefault);
 const defaultTPM = calculateTPM(modelDefault);
 const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
 const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
 const maxTPM = defaultTPM * 2;

 return {
 model: m.model,
 rpm: currentRPM > 0 ? currentRPM : null,
 tpm: currentTPM > 0 ? currentTPM : null,
 maxTPM: maxTPM > 0 ? maxTPM : null,
 };
 });
 emitResult(items, format);
 return;
 }

Expand Down

41 changes: 33 additions & 8 deletions
packages/cli/src/commands/usage/free.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
 }),
 ]);

 if (format === "json") {
 emitResult(quotaResult, format);
 return;
 }

 const allQuotas = extractQuotas(quotaResult);
 let quotas = modelFlag
 ? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
 quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 if (format === "json") {
 const items = quotas.map((quota) => {
 const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
 const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
 const stopStatus = stopMap.get(quota.model);
 const autoStop =
 quota.quotaStatus === "UNKNOWN"
 ? "unsupported"
 : stopStatus === true
 ? true
 : stopStatus === false
 ? false
 : null;
 return {
 model: quota.model,
 type: typeMap.get(quota.model) || null,
 remaining: hasQuota ? quota.quotaTotal : null,
 total: hasQuota ? quota.quotaInitTotal : null,
 usagePercent:
 hasQuota && quota.quotaInitTotal > 0
 ? Math.round((used / quota.quotaInitTotal) * 1000) / 10
 : null,
 expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
 autoStop,
 };
 });
 emitResult(items, format);
 return;
 }

 if (quotas.length === 0) {
 process.stdout.write("No free-tier quota found.\n");
 return;
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 printTable(quotas, stopMap, typeMap, config.noColor);
 },
});
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feat: change output & table name into English by gujieye · Pull Request #59 · modelstudioai/cli · GitHub
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feat: change output & table name into English#59

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 Merged

gujieye
merged 10 commits into

from

Jun 17, 2026
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feat: change output & table name into English
#59
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3f29f93

feat: replace model


gujieye Jun 15, 2026
14fc293

feat: opt json output & reduce Chinese table name


gujieye Jun 16, 2026
c54f6a6

feat: model recommend use english prompt & output


gujieye Jun 16, 2026
93cecc3

feat: model recommend use english output


gujieye Jun 16, 2026
f816d5c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 16, 2026
b01d35c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
8cb24b7

feat: merge main


gujieye Jun 17, 2026
cbeb2bf

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
edb3465

feat: temp save


gujieye Jun 17, 2026
7593baf

Merge branch 'feat/update-intent-model' of https://github.com/modelst…


gujieye Jun 17, 2026

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438 changes: 438 additions & 0 deletions
docs/plans/finetune-deploy-mvp.md

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113 changes: 66 additions & 47 deletions
packages/cli/src/commands/advisor/recommend.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
 Text: "文本",
 Image: "图片",
 Video: "视频",
 Audio: "音频",
 Text: "Text",
 Image: "Image",
 Video: "Video",
 Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
 TG: "文本生成",
 VU: "视觉理解",
 IG: "图像生成",
 VG: "视频生成",
 TTS: "语音合成",
 ASR: "语音识别",
 Reasoning: "推理",
 TG: "Text Gen",
 VU: "Vision",
 IG: "Image Gen",
 VG: "Video Gen",
 TTS: "Text-to-Speech",
 ASR: "Speech-to-Text",
 Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
 low: "低成本优先",
 medium: "适中",
 high: "高投入",
 low: "Cost-Effective",
 medium: "Balanced",
 high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
 flagship: "旗舰优先",
 balanced: "均衡",
 "cost-optimized": "性价比优先",
 flagship: "Flagship",
 balanced: "Balanced",
 "cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
 scoped: "限定范围",
 comparison: "对比评估",
 alternative: "替代推荐",
 scoped: "Scoped",
 comparison: "Comparison",
 alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

 const lines: string[] = [];
 lines.push(colorize.cyan.bold("需求理解"));
 lines.push(colorize.cyan.bold("Intent Analysis"));

 if (intent.taskSummary) {
 lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

 if (intent.scenarioHints.length) {
 lines.push("");
 lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
 lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
 }

 const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 if (inputLabels.length || outputLabels.length) {
 lines.push("");
 const parts: string[] = [];
 if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
 if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
 lines.push(parts.join(" "));
 }

 const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
 if (capLabels.length) {
 lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
 lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
 }

 const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
 const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
 lines.push("");
 lines.push(
 `${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
 `${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
 );

 const preference = intent.modelPreference;
 if (preference && preference.mode !== "unconstrained") {
 lines.push("");
 const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
 const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
 const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
 if (preference.targets?.length) {
 prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
 prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
 }
 if (preference.excludes?.length) {
 prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
 prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
 }
 lines.push(prefParts.join(" "));
 }

 if (intent.segments?.length) {
 lines.push("");
 lines.push(colorize.dim("任务拆解"));
 lines.push(colorize.dim("Pipeline"));
 for (const [idx, segment] of intent.segments.entries()) {
 const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
 lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 });
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
 const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
 const colorFn = labelColors[index] ?? colorize.white.bold;
 const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
 const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

 const lines: string[] = [];
 lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
 lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
 lines.push("");
 lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
 lines.push("");
 lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
 lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

 if (rec.highlights.length) {
 lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 }

 const meta: string[] = [];
 if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
 if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
 if (meta.length) {
 lines.push("");
 lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 const docLink = buildDocLink(rec.docUrl);
 if (docLink) {
 lines.push("");
 lines.push(colorize.dim(`文档 ${docLink}`));
 lines.push(colorize.dim(`Docs ${docLink}`));
 }

 return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
 const lines: string[] = [];
 lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
 lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

 for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
 lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

 if (!userInput.trim()) {
 if (isInteractive({ nonInteractive: config.nonInteractive })) {
 const hint = await promptText({ message: "描述你的需求:" });
 const hint = await promptText({ message: "Describe your requirement:" });
 if (!hint) {
 process.stderr.write("已取消。\n");
 process.stderr.write("Cancelled.\n");
 process.exit(1);
 }
 userInput = hint;
 } else {
 failIfMissing("message", 'bl advisor recommend "你的需求"');
 failIfMissing("message", 'bl advisor recommend "your requirement"');
 }
 }

 const top = 3;
 const format = detectOutputFormat(config.output);

 const modelsOptions: GetModelsOptions = {
 onPrepareStart: () => process.stderr.write("初始化中...\n"),
 onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
 };
 process.stderr.write("正在分析需求...\n");
 process.stderr.write("Analyzing your request...\n");
 const [allModels, intent] = await Promise.all([
 getModels(config, modelsOptions),
 analyzeIntent(config, userInput),
 ]);

 if (intent.confidence === 0) {
 process.stderr.write("需求分析超时，使用默认参数继续...\n");
 process.stderr.write("Intent analysis timed out, using defaults...\n");
 } else {
 process.stderr.write("\n");
 }
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
 }

 // Stage 3: LLM Ranking
 const spinner = createSpinner("正在推荐最佳模型...");
 const spinner = createSpinner("Recommending best models...");
 spinner.start();

 const result = await rankModels(config, candidates, intent, userInput, top);

 spinner.stop();

 if (isEmptyResult(result)) {
 emitBare("暂无满足该需求的模型。");
 emitBare("No suitable models found for this request.");
 return;
 }

 if (format !== "text") {
 emitResult(result, format);
 emitResult(
 {
 intent: {
 taskSummary: intent.taskSummary,
 scenarioHints: intent.scenarioHints,
 complexity: intent.complexity,
 inputModality: intent.inputModality,
 outputModality: intent.outputModality,
 requiredCapabilities: intent.requiredCapabilities,
 budget: intent.budget,
 qualityPreference: intent.qualityPreference,
 modelPreference:
 intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
 segments: intent.segments,
 },
 result,
 candidates: candidates.length,
 },
 format,
 );
 return;
 }

Expand Down

15 changes: 10 additions & 5 deletions
packages/cli/src/commands/quota/history.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
 throw err;
 }

 if (format === "json") {
 emitResult(result, format);
 return;
 }

 const resp = extractResponseData(result as Record<string, unknown>);
 let records = (resp.records as LimitApplicationItem[]) ?? [];
 const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
 records = records.filter((r) => r.deployedModel === modelFilter);
 }

 if (format === "json") {
 const items = records.map((r) => ({
 model: r.deployedModel,
 tokenLimit: r.usageLimit,
 appliedAt: formatDateTime(r.gmtCreate),
 }));
 emitResult({ records: items, total: modelFilter ? records.length : total }, format);
 return;
 }

 if (records.length === 0) {
 process.stdout.write("No quota change history found.\n");
 return;
Expand Down

20 changes: 19 additions & 1 deletion
packages/cli/src/commands/quota/list.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
 }

 if (format === "json") {
 emitResult(models, format);
 const items = models.map((m) => {
 const qpm = m.qpmInfo;
 const modelDefault = qpm?.["model-default"];
 const userSpec = qpm?.["user-spec"];

 const defaultRPM = calculateRPM(modelDefault);
 const defaultTPM = calculateTPM(modelDefault);
 const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
 const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
 const maxTPM = defaultTPM * 2;

 return {
 model: m.model,
 rpm: currentRPM > 0 ? currentRPM : null,
 tpm: currentTPM > 0 ? currentTPM : null,
 maxTPM: maxTPM > 0 ? maxTPM : null,
 };
 });
 emitResult(items, format);
 return;
 }

Expand Down

41 changes: 33 additions & 8 deletions
packages/cli/src/commands/usage/free.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
 }),
 ]);

 if (format === "json") {
 emitResult(quotaResult, format);
 return;
 }

 const allQuotas = extractQuotas(quotaResult);
 let quotas = modelFlag
 ? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
 quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 if (format === "json") {
 const items = quotas.map((quota) => {
 const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
 const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
 const stopStatus = stopMap.get(quota.model);
 const autoStop =
 quota.quotaStatus === "UNKNOWN"
 ? "unsupported"
 : stopStatus === true
 ? true
 : stopStatus === false
 ? false
 : null;
 return {
 model: quota.model,
 type: typeMap.get(quota.model) || null,
 remaining: hasQuota ? quota.quotaTotal : null,
 total: hasQuota ? quota.quotaInitTotal : null,
 usagePercent:
 hasQuota && quota.quotaInitTotal > 0
 ? Math.round((used / quota.quotaInitTotal) * 1000) / 10
 : null,
 expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
 autoStop,
 };
 });
 emitResult(items, format);
 return;
 }

 if (quotas.length === 0) {
 process.stdout.write("No free-tier quota found.\n");
 return;
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 printTable(quotas, stopMap, typeMap, config.noColor);
 },
});
Loading

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// Universal Dark Mode - works on any site
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var enabled = true;
function applyDarkMode() {
if (!enabled) return;
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background: #1a1a2e !important;
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
feat: change output & table name into English by gujieye · Pull Request #59 · modelstudioai/cli · GitHub
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 Merged

gujieye
merged 10 commits into

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Jun 17, 2026
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feat: change output & table name into English
#59
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3f29f93

feat: replace model


gujieye Jun 15, 2026
14fc293

feat: opt json output & reduce Chinese table name


gujieye Jun 16, 2026
c54f6a6

feat: model recommend use english prompt & output


gujieye Jun 16, 2026
93cecc3

feat: model recommend use english output


gujieye Jun 16, 2026
f816d5c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 16, 2026
b01d35c

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
8cb24b7

feat: merge main


gujieye Jun 17, 2026
cbeb2bf

Merge branch 'main' into feat/update-intent-model


gujieye Jun 17, 2026
edb3465

feat: temp save


gujieye Jun 17, 2026
7593baf

Merge branch 'feat/update-intent-model' of https://github.com/modelst…


gujieye Jun 17, 2026

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438 changes: 438 additions & 0 deletions
docs/plans/finetune-deploy-mvp.md

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113 changes: 66 additions & 47 deletions
packages/cli/src/commands/advisor/recommend.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -29,41 +29,41 @@ function formatContextWindow(tokens: number): string {
}

const MODALITY_LABELS: Record<string, string> = {
 Text: "文本",
 Image: "图片",
 Video: "视频",
 Audio: "音频",
 Text: "Text",
 Image: "Image",
 Video: "Video",
 Audio: "Audio",
};
const CAPABILITY_LABELS: Record<string, string> = {
 TG: "文本生成",
 VU: "视觉理解",
 IG: "图像生成",
 VG: "视频生成",
 TTS: "语音合成",
 ASR: "语音识别",
 Reasoning: "推理",
 TG: "Text Gen",
 VU: "Vision",
 IG: "Image Gen",
 VG: "Video Gen",
 TTS: "Text-to-Speech",
 ASR: "Speech-to-Text",
 Reasoning: "Reasoning",
};
const BUDGET_LABELS: Record<string, string> = {
 low: "低成本优先",
 medium: "适中",
 high: "高投入",
 low: "Cost-Effective",
 medium: "Balanced",
 high: "High Investment",
};
const QUALITY_LABELS: Record<string, string> = {
 flagship: "旗舰优先",
 balanced: "均衡",
 "cost-optimized": "性价比优先",
 flagship: "Flagship",
 balanced: "Balanced",
 "cost-optimized": "Value",
};
const PREFERENCE_MODE_LABELS: Record<string, string> = {
 scoped: "限定范围",
 comparison: "对比评估",
 alternative: "替代推荐",
 scoped: "Scoped",
 comparison: "Comparison",
 alternative: "Alternative",
};

function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;

 const lines: string[] = [];
 lines.push(colorize.cyan.bold("需求理解"));
 lines.push(colorize.cyan.bold("Intent Analysis"));

 if (intent.taskSummary) {
 lines.push("");
Expand All@@ -72,48 +72,48 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {

 if (intent.scenarioHints.length) {
 lines.push("");
 lines.push(`${colorize.dim("场景特征")} ${intent.scenarioHints.join(" · ")}`);
 lines.push(`${colorize.dim("Scenario")} ${intent.scenarioHints.join(" · ")}`);
 }

 const inputLabels = intent.inputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 const outputLabels = intent.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod);
 if (inputLabels.length || outputLabels.length) {
 lines.push("");
 const parts: string[] = [];
 if (inputLabels.length) parts.push(`${colorize.dim("输入")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("输出")} ${outputLabels.join(", ")}`);
 if (inputLabels.length) parts.push(`${colorize.dim("Input")} ${inputLabels.join(", ")}`);
 if (outputLabels.length) parts.push(`${colorize.dim("Output")} ${outputLabels.join(", ")}`);
 lines.push(parts.join(" "));
 }

 const capLabels = intent.requiredCapabilities.map((cap) => CAPABILITY_LABELS[cap] ?? cap);
 if (capLabels.length) {
 lines.push(`${colorize.dim("所需能力")} ${capLabels.join(", ")}`);
 lines.push(`${colorize.dim("Capabilities")} ${capLabels.join(", ")}`);
 }

 const budgetLabel = BUDGET_LABELS[intent.budget] ?? intent.budget;
 const qualityLabel = QUALITY_LABELS[intent.qualityPreference] ?? intent.qualityPreference;
 lines.push("");
 lines.push(
 `${colorize.dim("预算倾向")} ${budgetLabel} ${colorize.dim("质量偏好")} ${qualityLabel}`,
 `${colorize.dim("Budget")} ${budgetLabel} ${colorize.dim("Quality")} ${qualityLabel}`,
 );

 const preference = intent.modelPreference;
 if (preference && preference.mode !== "unconstrained") {
 lines.push("");
 const modeLabel = PREFERENCE_MODE_LABELS[preference.mode] ?? preference.mode;
 const prefParts = [colorize.dim("推荐模式") + ` ${colorize.yellow(modeLabel)}`];
 const prefParts = [colorize.dim("Mode") + ` ${colorize.yellow(modeLabel)}`];
 if (preference.targets?.length) {
 prefParts.push(colorize.dim("目标") + ` ${preference.targets.join(", ")}`);
 prefParts.push(colorize.dim("Targets") + ` ${preference.targets.join(", ")}`);
 }
 if (preference.excludes?.length) {
 prefParts.push(colorize.dim("排除") + ` ${preference.excludes.join(", ")}`);
 prefParts.push(colorize.dim("Excludes") + ` ${preference.excludes.join(", ")}`);
 }
 lines.push(prefParts.join(" "));
 }

 if (intent.segments?.length) {
 lines.push("");
 lines.push(colorize.dim("任务拆解"));
 lines.push(colorize.dim("Pipeline"));
 for (const [idx, segment] of intent.segments.entries()) {
 const outMods = segment.outputModality.map((mod) => MODALITY_LABELS[mod] ?? mod).join(", ");
 lines.push(
Expand All@@ -131,19 +131,19 @@ function formatIntentSummary(intent: IntentProfile, noColor: boolean): string {
 });
}

const RECOMMEND_LABELS = ["最佳推荐", "次优选择", "备选参考"];
const RECOMMEND_LABELS = ["Best Pick", "Runner-Up", "Alternative"];

function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstance): string {
 const labelColors = [colorize.green.bold, colorize.blue.bold, colorize.magenta.bold];
 const colorFn = labelColors[index] ?? colorize.white.bold;
 const label = RECOMMEND_LABELS[index] ?? `推荐 #${index + 1}`;
 const label = RECOMMEND_LABELS[index] ?? `#${index + 1}`;

 const lines: string[] = [];
 lines.push(colorFn(`⬢ 推荐 #${index + 1} — ${label}`));
 lines.push(colorFn(`⬢ #${index + 1} — ${label}`));
 lines.push("");
 lines.push(`${colorize.bold(rec.name)} ${colorize.dim(`(${rec.model})`)}`);
 lines.push("");
 lines.push(`${colorize.cyan("推荐理由")} ${rec.reason}`);
 lines.push(`${colorize.cyan("Why")} ${rec.reason}`);

 if (rec.highlights.length) {
 lines.push("");
Expand All@@ -153,8 +153,8 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 }

 const meta: string[] = [];
 if (rec.contextWindow) meta.push(`上下文 ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`最大输出 ${formatContextWindow(rec.maxOutputTokens)}`);
 if (rec.contextWindow) meta.push(`Context ${formatContextWindow(rec.contextWindow)}`);
 if (rec.maxOutputTokens) meta.push(`Max Output ${formatContextWindow(rec.maxOutputTokens)}`);
 if (meta.length) {
 lines.push("");
 lines.push(colorize.dim(meta.join(" · ")));
Expand All@@ -163,7 +163,7 @@ function renderCard(rec: RecommendedModel, index: number, colorize: ChalkInstanc
 const docLink = buildDocLink(rec.docUrl);
 if (docLink) {
 lines.push("");
 lines.push(colorize.dim(`文档 ${docLink}`));
 lines.push(colorize.dim(`Docs ${docLink}`));
 }

 return boxen(lines.join("\n"), {
Expand All@@ -183,7 +183,7 @@ function formatSingleResult(results: RecommendedModel[], noColor: boolean): stri
function formatPipelineResult(summary: string, steps: PipelineStep[], noColor: boolean): string {
 const colorize = noColor ? new Chalk({ level: 0 }) : chalk;
 const lines: string[] = [];
 lines.push(` ${colorize.yellow.bold("⚡ 组合方案")} ${summary}`);
 lines.push(` ${colorize.yellow.bold("⚡ Pipeline")} ${summary}`);

 for (const [stepIdx, { step, recommendations, warnings }] of steps.entries()) {
 lines.push("");
Expand DownExpand Up@@ -247,31 +247,31 @@ export default defineCommand({

 if (!userInput.trim()) {
 if (isInteractive({ nonInteractive: config.nonInteractive })) {
 const hint = await promptText({ message: "描述你的需求:" });
 const hint = await promptText({ message: "Describe your requirement:" });
 if (!hint) {
 process.stderr.write("已取消。\n");
 process.stderr.write("Cancelled.\n");
 process.exit(1);
 }
 userInput = hint;
 } else {
 failIfMissing("message", 'bl advisor recommend "你的需求"');
 failIfMissing("message", 'bl advisor recommend "your requirement"');
 }
 }

 const top = 3;
 const format = detectOutputFormat(config.output);

 const modelsOptions: GetModelsOptions = {
 onPrepareStart: () => process.stderr.write("初始化中...\n"),
 onPrepareStart: () => process.stderr.write("Initializing model data...\n"),
 };
 process.stderr.write("正在分析需求...\n");
 process.stderr.write("Analyzing your request...\n");
 const [allModels, intent] = await Promise.all([
 getModels(config, modelsOptions),
 analyzeIntent(config, userInput),
 ]);

 if (intent.confidence === 0) {
 process.stderr.write("需求分析超时，使用默认参数继续...\n");
 process.stderr.write("Intent analysis timed out, using defaults...\n");
 } else {
 process.stderr.write("\n");
 }
Expand All@@ -297,20 +297,39 @@ export default defineCommand({
 }

 // Stage 3: LLM Ranking
 const spinner = createSpinner("正在推荐最佳模型...");
 const spinner = createSpinner("Recommending best models...");
 spinner.start();

 const result = await rankModels(config, candidates, intent, userInput, top);

 spinner.stop();

 if (isEmptyResult(result)) {
 emitBare("暂无满足该需求的模型。");
 emitBare("No suitable models found for this request.");
 return;
 }

 if (format !== "text") {
 emitResult(result, format);
 emitResult(
 {
 intent: {
 taskSummary: intent.taskSummary,
 scenarioHints: intent.scenarioHints,
 complexity: intent.complexity,
 inputModality: intent.inputModality,
 outputModality: intent.outputModality,
 requiredCapabilities: intent.requiredCapabilities,
 budget: intent.budget,
 qualityPreference: intent.qualityPreference,
 modelPreference:
 intent.modelPreference?.mode !== "unconstrained" ? intent.modelPreference : undefined,
 segments: intent.segments,
 },
 result,
 candidates: candidates.length,
 },
 format,
 );
 return;
 }

Expand Down

15 changes: 10 additions & 5 deletions
packages/cli/src/commands/quota/history.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -159,11 +159,6 @@ export default defineCommand({
 throw err;
 }

 if (format === "json") {
 emitResult(result, format);
 return;
 }

 const resp = extractResponseData(result as Record<string, unknown>);
 let records = (resp.records as LimitApplicationItem[]) ?? [];
 const total = (resp.items as number) ?? records.length;
Expand All@@ -172,6 +167,16 @@ export default defineCommand({
 records = records.filter((r) => r.deployedModel === modelFilter);
 }

 if (format === "json") {
 const items = records.map((r) => ({
 model: r.deployedModel,
 tokenLimit: r.usageLimit,
 appliedAt: formatDateTime(r.gmtCreate),
 }));
 emitResult({ records: items, total: modelFilter ? records.length : total }, format);
 return;
 }

 if (records.length === 0) {
 process.stdout.write("No quota change history found.\n");
 return;
Expand Down

20 changes: 19 additions & 1 deletion
packages/cli/src/commands/quota/list.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -218,7 +218,25 @@ export default defineCommand({
 }

 if (format === "json") {
 emitResult(models, format);
 const items = models.map((m) => {
 const qpm = m.qpmInfo;
 const modelDefault = qpm?.["model-default"];
 const userSpec = qpm?.["user-spec"];

 const defaultRPM = calculateRPM(modelDefault);
 const defaultTPM = calculateTPM(modelDefault);
 const currentRPM = calculateRPM(userSpec, modelDefault?.count_limit_period) || defaultRPM;
 const currentTPM = calculateTPM(userSpec, modelDefault?.usage_limit_period) || defaultTPM;
 const maxTPM = defaultTPM * 2;

 return {
 model: m.model,
 rpm: currentRPM > 0 ? currentRPM : null,
 tpm: currentTPM > 0 ? currentTPM : null,
 maxTPM: maxTPM > 0 ? maxTPM : null,
 };
 });
 emitResult(items, format);
 return;
 }

Expand Down

41 changes: 33 additions & 8 deletions
packages/cli/src/commands/usage/free.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -297,11 +297,6 @@ export default defineCommand({
 }),
 ]);

 if (format === "json") {
 emitResult(quotaResult, format);
 return;
 }

 const allQuotas = extractQuotas(quotaResult);
 let quotas = modelFlag
 ? allQuotas
Expand All@@ -322,14 +317,44 @@ export default defineCommand({
 quotas.sort((a, b) => (a.quotaValidityPeriod ?? 0) - (b.quotaValidityPeriod ?? 0));
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 if (format === "json") {
 const items = quotas.map((quota) => {
 const hasQuota = quota.quotaInitTotal != null && quota.quotaTotal != null;
 const used = hasQuota ? quota.quotaInitTotal - quota.quotaTotal : 0;
 const stopStatus = stopMap.get(quota.model);
 const autoStop =
 quota.quotaStatus === "UNKNOWN"
 ? "unsupported"
 : stopStatus === true
 ? true
 : stopStatus === false
 ? false
 : null;
 return {
 model: quota.model,
 type: typeMap.get(quota.model) || null,
 remaining: hasQuota ? quota.quotaTotal : null,
 total: hasQuota ? quota.quotaInitTotal : null,
 usagePercent:
 hasQuota && quota.quotaInitTotal > 0
 ? Math.round((used / quota.quotaInitTotal) * 1000) / 10
 : null,
 expires: quota.quotaValidityPeriod ? formatDate(quota.quotaValidityPeriod) : null,
 autoStop,
 };
 });
 emitResult(items, format);
 return;
 }

 if (quotas.length === 0) {
 process.stdout.write("No free-tier quota found.\n");
 return;
 }

 const stopStatuses = extractFreeTierOnlyStatuses(stopResult);
 const stopMap = new Map(stopStatuses.map((status) => [status.model, status.freeTierOnly]));

 printTable(quotas, stopMap, typeMap, config.noColor);
 },
});
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