mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-06-02 00:57:41 +08:00
feat: optimize model name display in English
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@@ -367,6 +367,15 @@ function t(key) {
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return (I18N[currentLang] && I18N[currentLang][key]) || (I18N.en[key]) || key;
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}
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// Resolve a localized label that may be either a plain string or
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// a {zh, en} object returned by the backend.
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function localizedLabel(label) {
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if (label && typeof label === 'object') {
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return label[currentLang] || label.en || label.zh || '';
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}
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return label || '';
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}
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function applyI18n() {
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document.querySelectorAll('[data-i18n]').forEach(el => {
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el.textContent = t(el.dataset.i18n);
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@@ -3164,7 +3173,7 @@ function initConfigView(data) {
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configCurrentModel = data.model || '';
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const providerEl = document.getElementById('cfg-provider');
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const providerOpts = Object.entries(configProviders).map(([pid, p]) => ({ value: pid, label: p.label }));
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const providerOpts = Object.entries(configProviders).map(([pid, p]) => ({ value: pid, label: localizedLabel(p.label) }));
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// if use_linkai is enabled, always select linkai as the provider
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// Otherwise prefer bot_type from config, fall back to model-based detection
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@@ -3914,7 +3923,7 @@ function renderVendorChip(p) {
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bg-slate-50 dark:bg-white/5 hover:border-primary-300 dark:hover:border-primary-500/50
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cursor-pointer transition-colors duration-150 text-left">
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${renderProviderLogo(p, 28)}
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<span class="flex-1 min-w-0 text-sm font-medium text-slate-800 dark:text-slate-100 truncate">${escapeHtml(p.label)}</span>
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<span class="flex-1 min-w-0 text-sm font-medium text-slate-800 dark:text-slate-100 truncate">${escapeHtml(localizedLabel(p.label))}</span>
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<i class="fas fa-pen-to-square text-[11px] text-slate-400 dark:text-slate-500 group-hover:text-primary-500 transition-colors"></i>
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</button>`;
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}
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@@ -3922,7 +3931,7 @@ function renderVendorChip(p) {
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// Render a uniformly-styled logo for a provider. Tries an SVG asset first; if
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// it 404s the <img> swaps itself for a monogram fallback via onerror.
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function renderProviderLogo(p, sizePx) {
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const initial = (p.label || p.id || '?').slice(0, 1).toUpperCase();
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const initial = (localizedLabel(p.label) || p.id || '?').slice(0, 1).toUpperCase();
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const sz = sizePx || 32;
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const url = `${MODELS_PROVIDER_LOGO_PATH}/${encodeURIComponent(p.id)}.svg`;
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const fallbackId = `pl-${p.id}-${Math.random().toString(36).slice(2, 8)}`;
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@@ -3977,7 +3986,7 @@ function renderCapabilityHeaderTag(def, cap) {
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function _searchProviderLabel(cap, providerId) {
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const list = (cap && cap.providers) || [];
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const hit = list.find(p => p.id === providerId);
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return hit ? hit.label : providerId;
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return hit ? localizedLabel(hit.label) : providerId;
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}
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// Search card body: strategy picker + (when fixed) provider picker + a
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@@ -4103,7 +4112,7 @@ function _renderSearchSummary(body, cap) {
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class="inline-flex items-center gap-1 px-2 py-0.5 text-[11px] rounded-md cursor-pointer
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bg-emerald-50 dark:bg-emerald-900/30 text-emerald-600 dark:text-emerald-400
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hover:bg-emerald-100 dark:hover:bg-emerald-900/50 transition-colors">
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<i class="fas fa-check text-[10px]"></i>${escapeHtml(p.label)}
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<i class="fas fa-check text-[10px]"></i>${escapeHtml(localizedLabel(p.label))}
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</button>
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`).join('');
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host.innerHTML = `
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@@ -4150,7 +4159,7 @@ function openSearchAddProviderPicker(missingProviders) {
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class="w-full flex items-center justify-between px-3 py-2.5 rounded-lg cursor-pointer
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bg-slate-50 dark:bg-white/5 hover:bg-slate-100 dark:hover:bg-white/10
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text-sm text-slate-700 dark:text-slate-200 transition-colors">
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<span>${escapeHtml(p.label)}</span>
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<span>${escapeHtml(localizedLabel(p.label))}</span>
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<i class="fas fa-chevron-right text-[10px] text-slate-400"></i>
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</button>
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`).join('');
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@@ -4607,7 +4616,7 @@ function renderCapabilityHints(def, cap, body, currentProvider) {
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// id ("linkai") when we know it. Falls back to the id when the
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// provider isn't in our vendor table (rare).
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const provMeta = modelsState.providers.find(p => p.id === fbProv);
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const fbProvLabel = (provMeta && provMeta.label) || fbProv;
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const fbProvLabel = (provMeta && localizedLabel(provMeta.label)) || fbProv;
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const fbText = fbModel ? `${fbProvLabel} / ${fbModel}` : fbProvLabel;
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slot.innerHTML = `
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<p class="flex items-center gap-1.5 text-xs text-slate-400 dark:text-slate-500 min-w-0">
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@@ -4639,7 +4648,7 @@ function buildCapabilityProviderOptions(def, cap) {
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const configured = !tracked || !!meta.configured;
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return {
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value: pid,
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label: (meta && meta.label) || pid,
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label: (meta && localizedLabel(meta.label)) || pid,
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_tracked: tracked,
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_configured: configured,
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};
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@@ -5069,7 +5078,7 @@ function openVendorModal(providerId, onSaved) {
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const pickerEl = document.getElementById('vendor-modal-picker');
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const pickerOpts = modelsState.providers.map(p => ({
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value: p.id,
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label: p.label,
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label: localizedLabel(p.label),
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_configured: !!p.configured,
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}));
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initDropdown(pickerEl, pickerOpts, defaultId, (val) => fillVendorModalForProvider(val));
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@@ -5108,7 +5117,7 @@ function openVendorModal(providerId, onSaved) {
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function fillVendorModalForProvider(providerId) {
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const meta = modelsState.providers.find(p => p.id === providerId);
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if (!meta) return;
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document.getElementById('vendor-modal-title').textContent = meta.label;
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document.getElementById('vendor-modal-title').textContent = localizedLabel(meta.label);
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document.getElementById('vendor-modal-subtitle').textContent = meta.id;
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// ----- API Base -----
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@@ -1337,7 +1337,7 @@ class ConfigHandler:
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"models": [const.GPT_55, const.GPT_54, const.GPT_54_MINI, const.GPT_54_NANO, const.GPT_5, const.GPT_41, const.GPT_4o],
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}),
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("zhipu", {
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"label": "智谱AI",
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"label": {"zh": "智谱AI", "en": "GLM"},
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"api_key_field": "zhipu_ai_api_key",
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"api_base_key": "zhipu_ai_api_base",
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"api_base_default": "https://open.bigmodel.cn/api/paas/v4",
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@@ -1345,7 +1345,7 @@ class ConfigHandler:
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"models": [const.GLM_5_1, const.GLM_5_TURBO, const.GLM_5, const.GLM_4_7],
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}),
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("dashscope", {
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"label": "通义千问",
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"label": {"zh": "通义千问", "en": "Qwen"},
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"api_key_field": "dashscope_api_key",
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"api_base_key": None,
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"api_base_default": None,
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@@ -1353,7 +1353,7 @@ class ConfigHandler:
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"models": [const.QWEN36_PLUS, const.QWEN37_MAX, const.QWEN35_PLUS, const.QWEN3_MAX],
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}),
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("doubao", {
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"label": "豆包",
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"label": {"zh": "豆包", "en": "Doubao"},
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"api_key_field": "ark_api_key",
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"api_base_key": "ark_base_url",
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"api_base_default": "https://ark.cn-beijing.volces.com/api/v3",
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@@ -1369,7 +1369,7 @@ class ConfigHandler:
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"models": [const.KIMI_K2_6, const.KIMI_K2_5, const.KIMI_K2],
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}),
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("qianfan", {
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"label": "百度千帆",
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"label": {"zh": "百度千帆", "en": "ERNIE"},
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"api_key_field": "qianfan_api_key",
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"api_base_key": "qianfan_api_base",
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"api_base_default": "https://qianfan.baidubce.com/v2",
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@@ -1385,7 +1385,7 @@ class ConfigHandler:
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"models": _RECOMMENDED_MODELS,
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}),
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("custom", {
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"label": "自定义",
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"label": {"zh": "自定义", "en": "Custom"},
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"api_key_field": "custom_api_key",
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"api_base_key": "custom_api_base",
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"api_base_default": "",
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@@ -2241,10 +2241,10 @@ class ModelsHandler:
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_SEARCH_PROVIDERS = ("bocha", "qianfan", "zhipu", "linkai")
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_SEARCH_PROVIDER_LABELS = {
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"bocha": "博查",
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"zhipu": "智谱",
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"qianfan": "百度千帆",
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"linkai": "LinkAI",
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"bocha": {"zh": "博查", "en": "Bocha"},
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"zhipu": {"zh": "智谱", "en": "GLM"},
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"qianfan": {"zh": "百度千帆", "en": "ERNIE"},
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"linkai": {"zh": "LinkAI", "en": "LinkAI"},
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}
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@classmethod
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@@ -32,6 +32,6 @@ A snapshot of each vendor's capabilities. "Text" refers to the main chat model;
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**Option 1 (recommended):** Manage models and capabilities online via the [Web console](/en/channels/web), with no need to edit the configuration file:
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<img width="900" src="https://cdn.link-ai.tech/doc/20260521212527.png" />
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<img width="900" src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-models-config.png" />
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**Option 2:** Edit `config.json` manually and fill in the model name and API key for the selected vendor. Every model also supports OpenAI-compatible access — just set `bot_type` to `openai` and configure `open_ai_api_base` and `open_ai_api_key`.
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@@ -15,7 +15,7 @@ The Web Console adds a new **Models** page that organizes everything by **provid
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Documentation: [Models Overview](https://docs.cowagent.ai/en/models)
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<img width="720" alt="20260522113305" src="https://cdn.link-ai.tech/doc/20260522113305.png" />
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<img width="720" alt="20260522113305" src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-models-config.png" />
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## 🧩 MCP Protocol Support
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@@ -15,7 +15,7 @@ Web コンソールに「モデル」ページを新設。**モデルプロバ
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ドキュメント:[モデル概要](https://docs.cowagent.ai/ja/models)
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<img width="720" alt="20260522113305" src="https://cdn.link-ai.tech/doc/20260522113305.png" />
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<img width="720" alt="20260522113305" src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-models-config.png" />
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## 🧩 MCP プロトコル対応
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@@ -227,7 +227,7 @@ CowAgent 支持国内外主流厂商的大语言模型。**文本对话、图像
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## 🏢 企业服务
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<a href="https://link-ai.tech" target="_blank"><img width="550" src="https://cdn.link-ai.tech/image/link-ai-intro.jpg"></a>
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<a href="https://link-ai.tech" target="_blank"><img width="650" src="https://cdn.link-ai.tech/image/link-ai-intro.jpg"></a>
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> [LinkAI](https://link-ai.tech/) 是面向企业和个人的一站式 AI 智能体平台,为 CowAgent 提供云端托管和企业级支持:
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>
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